From f39e88e5fba6dda2d7c89a3ad2c4a3de46be67a7 Mon Sep 17 00:00:00 2001 From: havok2-htwo Date: Sun, 8 Nov 2026 22:46:46 +0100 Subject: [PATCH] [Benchmark] 4x RTX 3090 / Qwen3.8-Flash-Next / UD-IQ4_XS / strata-qwen38-thinking-v1-draft.1: stock v0.2.12 (setup config and a 16-slot config) and v0.2.12 + an opt-in patch series, 6 standard runs + multi-user custom data Co-Authored-By: Claude Opus 5.5 --- .../FIELDS.md | 45 + .../README.md | 148 + .../data/C-ident.txt | 1 + .../data/C-long.txt | 3 + .../data/C-mt.txt | 6 + .../data/C-r2-ident.txt | 1 + .../data/C-r2-long.txt | 3 + .../data/C-r2-mt.txt | 6 + .../data/C-r2-short.txt | 7 + .../data/C-short.txt | 7 + .../data/PT-ident.txt | 1 + .../data/PT-long.txt | 3 + .../data/PT-mt.txt | 6 + .../data/PT-r2-ident.txt | 1 + .../data/PT-r2-long.txt | 3 + .../data/PT-r2-mt.txt | 6 + .../data/PT-r2-short.txt | 7 + .../data/PT-short.txt | 7 + .../data/S-ident.txt | 4 + .../data/S-long.txt | 3 + .../data/S-mt.txt | 6 + .../data/S-r2-ident.txt | 4 + .../data/S-r2-long.txt | 3 + .../data/S-r2-mt.txt | 6 + .../data/S-r2-short.txt | 7 + .../data/S-short.txt | 7 + .../data/join-C-r2.json | 43 + .../data/join-C.json | 43 + .../data/join-PT-r2.json | 43 + .../data/join-PT.json | 43 + .../data/join-S-r2.json | 43 + .../data/join-S.json | 43 + .../data/multiturn.jsonl | 6 + .../data/ref.requests.jsonl | 10 + .../data/status-C-r2.json | 1 + .../data/status-C.json | 1 + .../data/status-PT-r2.json | 1 + .../data/status-PT.json | 1 + .../data/status-S-r2.json | 1 + .../data/status-S.json | 1 + .../data/sweep.jsonl | 36 + .../data/sweep.requests.jsonl | 36 + .../data/vram-C-r2.csv | 105 + .../data/vram-C.csv | 126 + .../data/vram-PT-r2.csv | 100 + .../data/vram-PT.csv | 127 + .../data/vram-S-r2.csv | 162 + .../data/vram-S.csv | 184 ++ .../scripts/bench_concurrency.py | 268 ++ .../scripts/bench_multiturn.py | 132 + .../scripts/compare_replies.py | 79 + .../strata_bench/C/README.md | 71 + .../strata_bench/C/results.json | 1249 ++++++++ .../strata_bench/PT/README.md | 71 + .../strata_bench/PT/results.json | 1277 ++++++++ .../strata_bench/S/README.md | 71 + .../strata_bench/S/results.json | 1204 ++++++++ .../README.md | 79 + .../config.json | 55 + .../engine.log | 1358 +++++++++ .../outputs.jsonl | 34 + .../provenance/chat_template.jinja | 184 ++ .../provenance/corpus-build.json | 206 ++ .../provenance/corpus-manifest.sha256 | 35 + .../provenance/launch-config.json | 133 + .../results.json | 2603 +++++++++++++++++ .../README.md | 78 + .../config.json | 35 + .../engine.log | 279 ++ .../outputs.jsonl | 34 + .../provenance/chat_template.jinja | 184 ++ .../provenance/corpus-build.json | 206 ++ .../provenance/corpus-manifest.sha256 | 35 + .../provenance/launch-config.json | 62 + .../results.json | 2541 ++++++++++++++++ .../README.md | 79 + .../config.json | 55 + .../engine.log | 1101 +++++++ .../outputs.jsonl | 34 + .../provenance/chat_template.jinja | 184 ++ .../provenance/corpus-build.json | 206 ++ .../provenance/corpus-manifest.sha256 | 35 + .../provenance/launch-config.json | 109 + .../results.json | 2580 ++++++++++++++++ .../README.md | 79 + .../config.json | 55 + .../engine.log | 1358 +++++++++ .../outputs.jsonl | 34 + .../provenance/chat_template.jinja | 184 ++ .../provenance/corpus-build.json | 206 ++ .../provenance/corpus-manifest.sha256 | 35 + .../provenance/launch-config.json | 133 + .../results.json | 2603 +++++++++++++++++ .../README.md | 78 + .../config.json | 35 + .../engine.log | 280 ++ .../outputs.jsonl | 34 + .../provenance/chat_template.jinja | 184 ++ .../provenance/corpus-build.json | 206 ++ .../provenance/corpus-manifest.sha256 | 35 + .../provenance/launch-config.json | 62 + .../results.json | 2541 ++++++++++++++++ .../README.md | 79 + .../config.json | 55 + .../engine.log | 1101 +++++++ .../outputs.jsonl | 34 + .../provenance/chat_template.jinja | 184 ++ .../provenance/corpus-build.json | 206 ++ .../provenance/corpus-manifest.sha256 | 35 + 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bench/results/2026-11-08-standard-4x-rtx-3090-eb4f9649/provenance/launch-config.json create mode 100644 bench/results/2026-11-08-standard-4x-rtx-3090-eb4f9649/results.json diff --git a/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/FIELDS.md b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/FIELDS.md new file mode 100644 index 00000000000..201d157ca73 --- /dev/null +++ b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/FIELDS.md @@ -0,0 +1,45 @@ +# Fields and units of data/ + +All times in seconds, rates in tokens per second, timestamps ISO 8601 (local time, CET) unless said otherwise. +Labels: `run-[-r2]-`, arm S / C / PT, `-r2` = the second fresh server start of that arm. + +## sweep.jsonl (`scripts/bench_concurrency.py`, one line per label and user count) + +- `users`: concurrent clients; `rounds`: requests per client, sent one after another; `requests`, `ok`, `errors`, `err_sample`. +- `max_tok`: output cap per request (512, every request ran to the cap: greedy, thinking off); `temperature` 0. +- `prompt_kind`: nominal prompt size (100 = short, 1000 = long); `prompt_tok_avg`: the actual mean prompt tokens (146-148 / 1213). +- `wall_s`: first request sent to last token; `out_tok_total`; `agg_out_tps` = out_tok_total / wall_s; `agg_total_tps` + includes prompt tokens; `agg_out_tps_steady` / `steady_s`: output rate over the window in which every client was decoding. +- `ts`: start time; `max_tok_min`: 0 (no minimum); `agg_out_tps_steady` is null when no window had every client decoding (S, 3 slots). +- `ttft_p50` / `ttft_p95` / `ttft_max`: client-side time to the first streamed token; `dec_tps_p50` / `_p5` / `_p95`: + per-request decode rate after the first token; `e2e_p50` / `e2e_p95`: request latency. +- `cached_tok`: prompt tokens the server reported as reused; `replies_sha256`: SHA-256 over all replies of the label. + +## sweep.requests.jsonl, ref.requests.jsonl (one line per label and user count) + +- `fields` names the columns of each row in `reqs`: `uid` (the prompt), `user`, `max_tok`, `gen` (generated tokens), + `prompt` (prompt tokens), `t0` / `t_first` / `t_end` (seconds from the label's start), `sha256` (of the reply), `err`. + `scripts/compare_replies.py` compares the `sha256` per `uid` for the greedy identity check (`-ident.txt`); + `ref.requests.jsonl` holds reference short replies from an earlier window on the same machine: `ref-PT-short` (PT, the reference used here) and `ref-I-short` (an earlier integration build, unused). + +## multiturn.jsonl (`scripts/bench_multiturn.py --users 16 --turns 3 --doc 8000`) + +- `wall_s`; `agg_out_tps`; `turn1` / `turn2` / `turn3`: `prompt` and `cached` tokens (per-request means), `ttft_p50`, `ttft_p95`, `dec_p50`; + `follow_ttft_p50`: TTFT p50 over turns 2-3; `ts`, `users`, `turns`, `temperature`, `prompt_tok` / `out_tok` (totals), `replies` / `reply_fields` (per-request reply hashes). + +## join-*.json (`tools/piped_read_join_bench.py --scenarios cold32k`) + +- `cold32k.joiner_ttft_s`, `joiner_prompt_tokens`, `joiner_cached_tokens`; `worst_max_gap_s`: the longest pause between two + tokens of the 4 running streams while the 32K joiner was read; `streams[]`: per stream tokens, `max_gap_s`, `p99_gap_s`, `stalled_s`; `mean_stalled_s`, `stream_tokens_during_join`, `aggregate_tok_s` (all streams during the join). + +## vram-*.csv + +One line per 5 s sample: `unix time,` then per card `index,free MiB,GPU utilization %`, cards separated by `;`. + +## status-*.json + +The server's status JSON at the start of the arm, before its first request (engine version, slots, context, VRAM/RAM). + +## *-short.txt, *-long.txt, *-mt.txt, *-ident.txt + +The harness's console tables of the same runs. diff --git a/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/README.md b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/README.md new file mode 100644 index 00000000000..9f787d96995 --- /dev/null +++ b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/README.md @@ -0,0 +1,148 @@ +# Community benchmark on 4x RTX 3090 (multi-user, custom track) + +Measured on 2026-11-08 by havok2-htwo. Three arms on one machine: stock v0.2.12 as `setup` writes it (S), the same stock +binary and server with a 16-slot production config (C), and v0.2.12 plus an opt-in patch series (PT). This folder holds the +custom multi-user data. The standard protocol runs of the same servers are the six folders +`2026-11-08-standard-4x-rtx-3090-*` next to it. Main limitation: one machine, one model and quant, one day, 2 runs per arm. + +## Results + +`bench/results` has no 4x RTX 3090 multi-user report yet. TEST_REQUESTS.md lists "Three or four NVIDIA GPUs" as a wanted test (#880). This PR adds results only. It has no engine change, makes no speed claim and proposes nothing for the README headlines. + +Three arms were measured on one machine on 2026-11-08, interleaved, each on a freshly loaded server. All arms use the same model files, the same expert profile (same SHA-256) and the same chat template (same SHA-256): + +| Arm | What it is | +| --- | --- | +| **S** | Stock v0.2.12 (`146df3c4`) as `setup` writes it for this box: 128K context, `--batch 3`, `--prefill auto`, `--layer-split auto`, int8 KV, MTP, vision off. | +| **C** | The same stock binary and stock server, with our production args/env: 16 slots, 262K context, `--prefill 512`, `--layer-split 12,25,37`, resident experts, conversation and prompt cache, the vision encoder loaded on the CPU, the stock sm_86 default table. Bit-changing defaults are pinned off. | +| **PT** | v0.2.12 plus an opt-in patch series by havok2-htwo (branch head `a099d295`, 56 commits on `146df3c4`). It uses the same args as C plus the series' engine switches, and runs with the series' server. | + +Run order: C, PT, S, C-r2, PT-r2, S-r2. + +**Standard protocol** (`strata bench run`, required stage plus `--optional-concurrency`, `--track custom`). All six runs are `complete` and score 12/12 on sanity. The table shows medians from run 1. Run 2 is within 2 % on every value shown, except S's c4 burst rounds 2 and 3 (184 / 184 tok/s in run 2). + +| Case | Metric | S | C | PT | +| --- | --- | ---: | ---: | ---: | +| short | decode tok/s | 127.4 | 136.1 | 154.3 | +| short | TTFT s | 0.49 | 0.45 | 0.23 | +| prompt-4k | prompt tok/s | 1,921 | 4,998 | 4,999 | +| prompt-4k | decode tok/s | 128.3 | 138.4 | 155.2 | +| prompt-16k | prompt tok/s | 3,219 | 5,774 | 6,009 | +| prompt-16k | decode tok/s | 127.9 | 117.4 | 124.6 | +| prompt-16k | TTFT s | 5.12 | 2.86 | 2.75 | +| short-burst (c4) | aggregate tok/s, 3 rounds | 198 / 202 / 196 | 278 / 283 / 268 | 282 / 296 / 277 | +| short-burst (c4) | TTFT s | 0.75 | 0.40 | 0.49 | + +**Multi-user, custom harness.** Greedy (temperature 0), with `sampling.presence_penalty: 0` in every arm's config. Values are the mean of 2 runs per arm, or the range where both runs are shown. + +| Measure | S | C | PT | +| --- | ---: | ---: | ---: | +| 16 users, short (~150-token prompts), aggregate tok/s | 220.1 | 539.0 | 527.2 | +| 16 users, long (~1.2K-token prompts), aggregate tok/s | 174.7 | 400.8 | 405.1 | +| 8 users, short, aggregate tok/s | 216.6 | 412.8 | 400.1 | +| Per-user decode p50 at 1 / 2 / 4 users | 142 / 86 / 82 | 131 / 87 / 75 | 145 / 128 / 90 | +| TTFT short at 16 users, p50 / p95 (s) | 14.6-20.5 / 44.5-51.5 | 0.99 / 2.95-3.08 | 0.37-0.38 / 4.23-4.32 | +| TTFT long at 16 users, p50 / p95 (s) | 18.7-18.8 / 65.8-69.4 | 2.54 / 7.76-7.78 | 0.79 / 9.39-9.42 | +| 16 users x 3 turns (8K doc): wall / turn-1 TTFT p50 / follow-up TTFT p50 (s) | 266-281 / 46.6-67.1 / 23.6-48.8 | 97.6-97.7 / 17.4-17.6 / 2.03-2.08 | 90.8-91.3 / 26.4-27.9 / 2.74-2.95 | +| Cold 32K joiner beside 4 streams (`tools/piped_read_join_bench.py`): worst stream gap / joiner TTFT (s) | queue-bound, not compared | 5.80 / 5.80 | 0.10-0.11 / 8.2-8.3 | +| `tools/strata_bench.py --clients 16 --long`, 16 clients, tok/s, median (range) of 3 runs, first server start only | 160.7 (158.1-161.5) | 275.3 (247.8-275.3) | 266.9 (253.3-267.7) | + +**How to read this:** +- **Most of the 16-user gain over S comes from configuration, not engine code.** The configuration changes are 16 slots instead of 3, `--prefill 512` and the caches. With the stock engine, C already gets +145 % (short) and +130 % (long) over S. +- **What the patch series itself adds (PT vs C):** + - per-user decode is +10 % at 1 user, +47 % at 2 users and +19 % at 4 users; + - single-request decode in the standard protocol is +12-14 % on short and 4K, and +6-7 % on 16K; + - a cold 32K joiner no longer freezes the running streams (gap 0.1 s instead of 5.8 s); + - multi-turn wall time is -7 %. +- **Where PT is worse than C** (listed again under Limits): + - the 16-user short aggregate is -2.2 %, and the 8-user short aggregate is -3.1 %; + - TTFT p95 at 16 users is worse with short prompts (4.2-4.3 s instead of 3.0-3.1 s) and with long prompts (9.4 s instead of 7.8 s); + - the 32K joiner's own TTFT is 8.2 s instead of 5.8 s; + - c4 burst TTFT is 0.49 s instead of 0.40 s; + - in the multi-turn test, turn-1 TTFT p50 is 26-28 s instead of 17-18 s, and follow-up TTFT p50 is 2.7-3.0 s instead of 2.0-2.1 s; + - `strata_bench.py` at 16 clients is -3 %, inside the overlap of the two arms' run ranges. +- **At 16K, single-request decode is lower than S in both 16-slot configurations** (C -8 %, PT -3 %). + +## Hardware, software and method + +- **One fresh server per arm, with the standard runner first.** Each arm's server started fresh. Its first workload was `strata bench run --profile --no-start --optional-concurrency --track custom`. After that it ran, in order: + - `tools/strata_bench.py --runs 3 --clients 16 --long` (first start of each arm only); + - our `bench_concurrency.py`: 1/2/4/8/16 users, short and long prompts, 2 requests x 512 tokens per user; + - `bench_multiturn.py`: 16 users x 3 turns, 8K document plus 3K per turn, 400 output tokens; + - upstream's `tools/piped_read_join_bench.py --scenarios cold32k`. +- **Two stock baselines:** + - **S** is what a user gets from `setup`. + - **C** keeps the stock engine and server but uses PT's args. It isolates what the patch series adds. + - Stock v0.2.12 already enables six switches from our earlier series by default when the server runs batch slots: CKPT_POOL, SLOT_CKPT_MOVE, SLOT_COPY_DIRECT, SLOT_COPY_BATCHSYNC, BATCH_SELF_COMMIT and QSA_SLOTS. C sets them explicitly and S gets them from the server default (`--batch 3`), so the PT-C delta shows only the part that is not yet upstream. +- **Env differences between PT and C** (full lists in each run's `results.json`, under `configuration.experimental_options`): + - attention: `ATTN_DAILY=0` + `QSA_SLOTS_STREAM=1`; + - `CONV_MMAP`, `CONV_TIER_*`, `EARLY_SAMPLE`, `GATE_EVICT`, `GIVEBACK_CHECKS`, `GR_DOWN_PF=2`, `MROPE_SLOTS`, `MSG_CKPT_TAIL=8192`; + - `PARK_BORROW`, `PARK_CAPTURE`, `PIPE_OVERLAP(+_KVS)`, `READ_YIELD`, `SERVE_STOP_BOUND`, `SLOT_CHAIN_REUSE`, `SLOT_PARK`, `SOLO_PIPELINE`, `SPEC_LANES=4`. + - The servers differ as well. Both set `ADMIT_SHORT_FIRST=8192`. PT's server adds `ADMIT_BY_NEW`, `YIELD_SHORT=2048`, `YIELDS_MAX=4` and `PREFIX_DIAG` (diagnostics only). + - An earlier window on the same machine tried PT with the table's DAILY attention instead of slots-stream. It did not close the 16-user short gap (519 vs 529 tok/s). That window's numbers are not mixed into the tables above. +- **Hardware:** + - 4x RTX 3090 24 GB, 320 W limit each, layers split over the 4 cards (S: `auto`; C/PT: `12,25,37`); + - PCIe as reported under load: cards 0-1 gen3 x16, cards 2-3 gen4 x8; no NVLink; + - Threadripper 3990X, 251.5 GiB RAM, model files on an NVMe RAID 0 (3x Crucial P310). +- **Software:** Ubuntu 24.04.5, kernel 7.0.0-38, driver 580.196.07, CUDA 13.0. Both binaries are source builds with CUDA 13.0, sm_86, `STRATA_MMQ_TAB=ON`, `NATIVE_EXPERTS=ON`, `Q6K_EXPERTS=ON` and `MMQ_KQUANTS=ON`. The engine reports version 0.1.58 in all arms. +- **Model files:** + + | File | SHA-256 | + | --- | --- | + | `Qwen3.8-Flash-Next-UD-IQ4_XS-00001-of-00003.gguf` | `5ce89370720f8bf9...` | + | `Qwen3.8-Flash-Next-UD-IQ4_XS-00002-of-00003.gguf` | `577a38a2392b40ca...` | + | `Qwen3.8-Flash-Next-UD-IQ4_XS-00003-of-00003.gguf` | `d4634e6d84f0ebb0...` | + | `expert-profile.bin` (same in all arms) | `8f59b4aa8873209d...` | + + The full hashes are in `results.json`. + +## Files + +- `strata_bench/{S,C,PT}/`: `tools/strata_bench.py --runs 3 --clients 16 --long`, its own README and results (first server start of each arm). +- `data/`: our harness, see `FIELDS.md` for fields and units. `run-[-r2]-` labels. +- `scripts/`: the harness scripts (`bench_concurrency.py`, `bench_multiturn.py`, `compare_replies.py`). +- The cold-32K join test is upstream's `tools/piped_read_join_bench.py --scenarios cold32k` (`data/join-*.json`). + +## Correctness + +**Passed:** +- **`strata bench run`: all six runs are `complete`, with 12/12 on sanity each.** + - S: Strata `146df3c4`, runs `e32ea56b` and `8be2bf4a`; + - C: `146df3c4`, runs `eb4f9649` and `be712cdc`; + - PT: `a099d295`, runs `d8cef8bb` and `45387cb6`. + - No request failed. No request was flagged for unexpected reuse or for a length outside tolerance. Performance requests capped at 512 tokens stay in the summaries, as the protocol says. The protocol ID and the corpus SHA-256 `e75eff8b...` match. +- **A freshly loaded engine every time:** every runner README says "the server had answered no request before this run" (`server_requests_before_run: 0`). +- **Greedy reply identity:** we compared 62 short greedy replies of 512 tokens each, one per request at 1/2/4/8/16 users with 2 requests each. + - Each of C, C-r2, PT and PT-r2 matches a PT reference run from an earlier window, 62/62 by output SHA-256. So C and PT match each other. + - S differs (0/62). It runs another configuration (3 slots, 128K, auto split), so identical replies are not expected. +- **An earlier window of PT against our own previous build:** 62/62 identical HTTP replies, and `batch_test` 16/16 in both solo and batch mode. +- **Run-to-run spread:** run 2 is within 2 % of run 1 on every value in the standard-protocol table except S's c4 burst rounds (see above). On the 16-user short aggregate the spread is 0.6 % for C and 0.1 % for PT. + +**Failed:** +- None observed in the benchmark runs. +- Outside this report: + - Stock C fails our vision check (NO-GO: the long image request in a busy batch differs from the same request alone, 3 of 4). This matches the batch M-RoPE bug from #1242, which is not fixed in v0.2.12. PT passes the check with the per-slot fix. No vision workload is part of these numbers. + - In an earlier window, our `batch_overlap` test failed on PT (`ERR BGEN: no such free slot`). This is still open. + +**Not run:** +- `batch_test` engine identity and the GPU ctest in this window: switched off for time. Here, the only identity evidence for PT vs C is the HTTP greedy reply comparison. +- HIP, SYCL and Metal builds: no hardware. +- Single-GPU runs. +- A soak of an hour or more (#848). +- Multi-user runs with T 1.0 sampling: the standard protocol covers T 1.0 only at concurrency 1 and 4. +- Stock as shipped with a client that sends no sampling, which gets the penalty. +- A third run per arm for the custom harness. COMMUNITY_BENCHMARKS.md says to try at least three; there are 2 per arm. + +## Limits + +- **Where PT loses against stock with the same config (C):** + - The 16-user short aggregate is -2.2 % (539.0 vs 527.2), and the 8-user short aggregate is -3.1 % (412.8 vs 400.1). PT's steady-window aggregate at 16 users is higher (599 vs 573 tok/s), but admission puts the late requests behind: short TTFT p95 is 4.2-4.3 s instead of 3.0-3.1 s, and long TTFT p95 is 9.4 s instead of 7.8 s. + - The cold 32K joiner's own TTFT is 8.2 s instead of 5.8 s. PT keeps the 4 running streams going (gap 0.1 s instead of 5.8 s), and the joiner pays for it. + - c4 burst TTFT is 0.49 s instead of 0.40 s. + - Multi-turn TTFT p50 is 26-28 s instead of 17-18 s on turn 1, and 2.7-3.0 s instead of 2.0-2.1 s on follow-ups. Total wall time is lower (91 s vs 98 s). + - `strata_bench.py` at 16 clients is -3 %, inside the overlap of the run ranges. +- **No end-to-end speed claim at 16 users:** over two interleaved pairs, PT vs C is -2.2 % (short) and +1.1 % (long). The gains are in per-user decode at 1-4 users, in single-request decode, and in stream continuity during a join. +- **The large S-vs-PT ratios at 16 users come from configuration:** 16 slots, prefill 512 and the caches. S queues 16 clients on 3 slots. These ratios do not measure the engine. +- **Memory:** PT leaves less VRAM headroom: the lowest free VRAM was 810 MiB on card 3, against a minimum of 1,372 MiB for C. Peak host memory of the server's systemd scope (`memory.peak`, recorded by our window script, not in `data/`) is 90-101 GiB, against 82-93 GiB for C. +- **One machine, one model and quant, one day.** The protocol is still a draft (`draft.1`). The model-card, tokenizer, source-model and quant-repo revisions are `null`, each with a reason. +- **Prompt reuse:** the conversation and prompt caches are on in C and PT. In the standard runs the runner flagged no unexpected reuse, so it excluded no request. diff --git a/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/C-ident.txt b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/C-ident.txt new file mode 100644 index 00000000000..2d5c216dfd3 --- /dev/null +++ b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/C-ident.txt @@ -0,0 +1 @@ +ref-PT-short vs run-C-short: 62 common uids - identical 62, different 0 diff --git a/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/C-long.txt b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/C-long.txt new file mode 100644 index 00000000000..e2208bf3c24 --- /dev/null +++ b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/C-long.txt @@ -0,0 +1,3 @@ +# run-C-long: prompt~1000 tok, max_tokens 512, 2 request(s) per user, temperature 0.0 +users ok/req wall agg out dec p50 dec p5 TTFT p50 TTFT p95 TTFT max e2e p50 e2e p95 steady + 16 32/32 40.9 400.6 28.9 26.0 2.54 7.76 8.55 20.4 25.4 454.2 diff --git a/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/C-mt.txt b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/C-mt.txt new file mode 100644 index 00000000000..f17fbd33ad8 --- /dev/null +++ b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/C-mt.txt @@ -0,0 +1,6 @@ +# run-C-mt: 16 users x 3 turns, doc 8000 + 3000/turn, 400 out +turn prompt cached TTFT p50 TTFT p95 dec p50 + 1 11131 0 17.44 33.08 9.9 + 2 15586 11218 2.53 9.54 13.1 + 3 20029 15681 1.44 9.36 22.6 +wall 98s, output 14036 tok = 143.6 tok/s, prompt tokens sent 747955, follow-up TTFT p50 2.03 s diff --git a/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/C-r2-ident.txt b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/C-r2-ident.txt new file mode 100644 index 00000000000..c94e051fc19 --- /dev/null +++ b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/C-r2-ident.txt @@ -0,0 +1 @@ +ref-PT-short vs run-C-r2-short: 62 common uids - identical 62, different 0 diff --git a/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/C-r2-long.txt b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/C-r2-long.txt new file mode 100644 index 00000000000..22d97c6d0dc --- /dev/null +++ b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/C-r2-long.txt @@ -0,0 +1,3 @@ +# run-C-r2-long: prompt~1000 tok, max_tokens 512, 2 request(s) per user, temperature 0.0 +users ok/req wall agg out dec p50 dec p5 TTFT p50 TTFT p95 TTFT max e2e p50 e2e p95 steady + 16 32/32 40.9 400.9 28.9 26.0 2.54 7.78 8.57 20.4 26.0 454.6 diff --git a/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/C-r2-mt.txt b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/C-r2-mt.txt new file mode 100644 index 00000000000..7ef8e9a1baf --- /dev/null +++ b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/C-r2-mt.txt @@ -0,0 +1,6 @@ +# run-C-r2-mt: 16 users x 3 turns, doc 8000 + 3000/turn, 400 out +turn prompt cached TTFT p50 TTFT p95 dec p50 + 1 11131 0 17.55 33.07 10.3 + 2 15586 11187 2.59 9.36 13.2 + 3 20027 15700 1.66 6.98 19.5 +wall 98s, output 13909 tok = 142.5 tok/s, prompt tokens sent 747932, follow-up TTFT p50 2.08 s diff --git a/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/C-r2-short.txt b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/C-r2-short.txt new file mode 100644 index 00000000000..9db5656e892 --- /dev/null +++ b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/C-r2-short.txt @@ -0,0 +1,7 @@ +# run-C-r2-short: prompt~100 tok, max_tokens 512, 2 request(s) per user, temperature 0.0 +users ok/req wall agg out dec p50 dec p5 TTFT p50 TTFT p95 TTFT max e2e p50 e2e p95 steady + 1 2/2 8.1 127.2 130.9 130.4 0.12 0.12 0.12 4.0 4.0 129.2 + 2 4/4 12.2 168.5 87.1 86.8 0.19 0.38 0.41 6.1 6.3 172.9 + 4 8/8 14.4 285.1 75.4 73.1 0.39 0.75 0.81 7.2 7.4 295.7 + 8 16/16 19.9 411.6 55.8 52.2 0.78 1.52 1.69 9.9 10.5 432.1 + 16 32/32 30.5 537.4 36.0 34.1 0.99 3.08 3.44 15.2 17.2 571.7 diff --git a/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/C-short.txt b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/C-short.txt new file mode 100644 index 00000000000..7aea76040a1 --- /dev/null +++ b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/C-short.txt @@ -0,0 +1,7 @@ +# run-C-short: prompt~100 tok, max_tokens 512, 2 request(s) per user, temperature 0.0 +users ok/req wall agg out dec p50 dec p5 TTFT p50 TTFT p95 TTFT max e2e p50 e2e p95 steady + 1 2/2 8.0 127.7 131.4 130.8 0.12 0.12 0.12 4.0 4.0 129.7 + 2 4/4 12.2 168.5 87.1 86.8 0.19 0.38 0.41 6.1 6.3 172.9 + 4 8/8 14.3 285.5 75.5 73.2 0.39 0.74 0.81 7.2 7.4 296.0 + 8 16/16 19.8 414.0 56.2 52.8 0.79 1.48 1.63 9.9 10.4 434.4 + 16 32/32 30.3 540.6 36.3 34.3 0.99 2.95 3.27 15.1 17.0 574.3 diff --git a/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/PT-ident.txt b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/PT-ident.txt new file mode 100644 index 00000000000..62e6144253e --- /dev/null +++ b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/PT-ident.txt @@ -0,0 +1 @@ +ref-PT-short vs run-PT-short: 62 common uids - identical 62, different 0 diff --git a/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/PT-long.txt b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/PT-long.txt new file mode 100644 index 00000000000..d39f8d526d5 --- /dev/null +++ b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/PT-long.txt @@ -0,0 +1,3 @@ +# run-PT-long: prompt~1000 tok, max_tokens 512, 2 request(s) per user, temperature 0.0 +users ok/req wall agg out dec p50 dec p5 TTFT p50 TTFT p95 TTFT max e2e p50 e2e p95 steady + 16 32/32 40.6 403.1 31.7 29.4 0.79 9.42 10.52 17.4 26.8 495.9 diff --git a/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/PT-mt.txt b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/PT-mt.txt new file mode 100644 index 00000000000..43b1693972b --- /dev/null +++ b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/PT-mt.txt @@ -0,0 +1,6 @@ +# run-PT-mt: 16 users x 3 turns, doc 8000 + 3000/turn, 400 out +turn prompt cached TTFT p50 TTFT p95 dec p50 + 1 11131 0 27.94 59.53 32.1 + 2 15586 11437 3.42 14.31 28.9 + 3 20023 15869 2.52 10.15 32.3 +wall 91s, output 13984 tok = 153.2 tok/s, prompt tokens sent 747858, follow-up TTFT p50 2.74 s diff --git a/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/PT-r2-ident.txt b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/PT-r2-ident.txt new file mode 100644 index 00000000000..611e6a7e920 --- /dev/null +++ b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/PT-r2-ident.txt @@ -0,0 +1 @@ +ref-PT-short vs run-PT-r2-short: 62 common uids - identical 62, different 0 diff --git a/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/PT-r2-long.txt b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/PT-r2-long.txt new file mode 100644 index 00000000000..1f104853fcb --- /dev/null +++ b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/PT-r2-long.txt @@ -0,0 +1,3 @@ +# run-PT-r2-long: prompt~1000 tok, max_tokens 512, 2 request(s) per user, temperature 0.0 +users ok/req wall agg out dec p50 dec p5 TTFT p50 TTFT p95 TTFT max e2e p50 e2e p95 steady + 16 32/32 40.3 407.0 32.1 29.8 0.79 9.39 10.47 17.2 26.6 501.8 diff --git a/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/PT-r2-mt.txt b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/PT-r2-mt.txt new file mode 100644 index 00000000000..36409b3433c --- /dev/null +++ b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/PT-r2-mt.txt @@ -0,0 +1,6 @@ +# run-PT-r2-mt: 16 users x 3 turns, doc 8000 + 3000/turn, 400 out +turn prompt cached TTFT p50 TTFT p95 dec p50 + 1 11131 0 26.38 62.16 31.7 + 2 15586 11437 3.25 9.92 29.5 + 3 20023 15869 2.63 17.25 29.5 +wall 91s, output 13984 tok = 154.1 tok/s, prompt tokens sent 747858, follow-up TTFT p50 2.95 s diff --git a/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/PT-r2-short.txt b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/PT-r2-short.txt new file mode 100644 index 00000000000..54f893ac813 --- /dev/null +++ b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/PT-r2-short.txt @@ -0,0 +1,7 @@ +# run-PT-r2-short: prompt~100 tok, max_tokens 512, 2 request(s) per user, temperature 0.0 +users ok/req wall agg out dec p50 dec p5 TTFT p50 TTFT p95 TTFT max e2e p50 e2e p95 steady + 1 2/2 7.3 140.6 145.3 145.2 0.12 0.13 0.13 3.6 3.6 143.2 + 2 4/4 8.6 237.7 129.0 121.1 0.22 0.43 0.46 4.2 4.6 250.7 + 4 8/8 12.6 324.8 91.0 84.9 0.37 0.91 1.01 5.9 6.7 352.0 + 8 16/16 20.5 400.2 55.1 53.8 0.34 2.00 2.23 9.7 11.5 437.7 + 16 32/32 31.1 526.8 37.5 36.3 0.37 4.32 4.85 14.1 18.4 599.3 diff --git a/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/PT-short.txt b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/PT-short.txt new file mode 100644 index 00000000000..dc7b4e03bf8 --- /dev/null +++ b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/PT-short.txt @@ -0,0 +1,7 @@ +# run-PT-short: prompt~100 tok, max_tokens 512, 2 request(s) per user, temperature 0.0 +users ok/req wall agg out dec p50 dec p5 TTFT p50 TTFT p95 TTFT max e2e p50 e2e p95 steady + 1 2/2 7.3 140.2 144.5 144.2 0.12 0.12 0.12 3.7 3.7 142.5 + 2 4/4 8.7 235.4 127.7 120.0 0.22 0.44 0.48 4.2 4.7 248.3 + 4 8/8 12.6 324.7 89.1 83.9 0.35 0.91 1.01 6.2 6.8 347.2 + 8 16/16 20.5 400.0 55.1 53.8 0.34 1.93 2.15 9.7 11.4 436.5 + 16 32/32 31.1 527.5 37.6 36.0 0.38 4.23 4.75 14.1 18.4 598.8 diff --git a/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/S-ident.txt b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/S-ident.txt new file mode 100644 index 00000000000..8633c0030bc --- /dev/null +++ b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/S-ident.txt @@ -0,0 +1,4 @@ +ref-PT-short vs run-S-short: 62 common uids - identical 0, different 62 + uid 1000000: tokens 512 vs 512 (max 512), sha 823092dd3284 vs d4fb8d93048a + uid 1000001: tokens 512 vs 512 (max 512), sha c8330e5a0d5f vs 19d5b8026c9e + uid 2000000: tokens 512 vs 512 (max 512), sha 31b5730a056a vs 3db2d3c34cbd diff --git a/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/S-long.txt b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/S-long.txt new file mode 100644 index 00000000000..d9031a122e4 --- /dev/null +++ b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/S-long.txt @@ -0,0 +1,3 @@ +# run-S-long: prompt~1000 tok, max_tokens 512, 2 request(s) per user, temperature 0.0 +users ok/req wall agg out dec p50 dec p5 TTFT p50 TTFT p95 TTFT max e2e p50 e2e p95 steady + 16 32/32 93.5 175.2 67.1 66.8 18.72 65.79 71.70 26.4 73.0 - diff --git a/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/S-mt.txt b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/S-mt.txt new file mode 100644 index 00000000000..0d2f293fbc3 --- /dev/null +++ b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/S-mt.txt @@ -0,0 +1,6 @@ +# run-S-mt: 16 users x 3 turns, doc 8000 + 3000/turn, 400 out +turn prompt cached TTFT p50 TTFT p95 dec p50 + 1 11131 0 67.12 213.82 25.7 + 2 15588 4169 24.70 125.04 19.4 + 3 20026 4846 23.52 80.22 27.7 +wall 266s, output 13777 tok = 51.8 tok/s, prompt tokens sent 747944, follow-up TTFT p50 23.57 s diff --git a/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/S-r2-ident.txt b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/S-r2-ident.txt new file mode 100644 index 00000000000..47c20f9ff85 --- /dev/null +++ b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/S-r2-ident.txt @@ -0,0 +1,4 @@ +ref-PT-short vs run-S-r2-short: 62 common uids - identical 0, different 62 + uid 1000000: tokens 512 vs 512 (max 512), sha 823092dd3284 vs d4fb8d93048a + uid 1000001: tokens 512 vs 512 (max 512), sha c8330e5a0d5f vs 19d5b8026c9e + uid 2000000: tokens 512 vs 512 (max 512), sha 31b5730a056a vs 3db2d3c34cbd diff --git a/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/S-r2-long.txt b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/S-r2-long.txt new file mode 100644 index 00000000000..43ff5b71878 --- /dev/null +++ b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/S-r2-long.txt @@ -0,0 +1,3 @@ +# run-S-r2-long: prompt~1000 tok, max_tokens 512, 2 request(s) per user, temperature 0.0 +users ok/req wall agg out dec p50 dec p5 TTFT p50 TTFT p95 TTFT max e2e p50 e2e p95 steady + 16 32/32 94.1 174.1 66.6 66.5 18.83 69.37 79.80 26.0 77.0 - diff --git a/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/S-r2-mt.txt b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/S-r2-mt.txt new file mode 100644 index 00000000000..8453fffc4e4 --- /dev/null +++ b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/S-r2-mt.txt @@ -0,0 +1,6 @@ +# run-S-r2-mt: 16 users x 3 turns, doc 8000 + 3000/turn, 400 out +turn prompt cached TTFT p50 TTFT p95 dec p50 + 1 11131 0 46.55 255.11 23.1 + 2 15588 1444 49.68 181.53 25.8 + 3 20027 3992 48.77 135.21 24.7 +wall 281s, output 13637 tok = 48.6 tok/s, prompt tokens sent 747963, follow-up TTFT p50 48.77 s diff --git a/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/S-r2-short.txt b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/S-r2-short.txt new file mode 100644 index 00000000000..3244b693bca --- /dev/null +++ b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/S-r2-short.txt @@ -0,0 +1,7 @@ +# run-S-r2-short: prompt~100 tok, max_tokens 512, 2 request(s) per user, temperature 0.0 +users ok/req wall agg out dec p50 dec p5 TTFT p50 TTFT p95 TTFT max e2e p50 e2e p95 steady + 1 2/2 7.7 133.0 142.2 140.9 0.25 0.37 0.38 3.8 4.0 140.0 + 2 4/4 12.8 159.8 84.9 84.6 0.37 0.72 0.78 6.4 6.7 167.5 + 4 8/8 20.0 204.4 81.3 78.8 0.74 7.04 7.20 7.2 13.3 226.3 + 8 16/16 38.0 215.8 79.1 78.8 7.33 17.81 27.18 13.6 23.3 241.8 + 16 32/32 74.6 219.7 79.0 78.8 14.56 51.52 61.73 20.9 57.6 - diff --git a/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/S-short.txt b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/S-short.txt new file mode 100644 index 00000000000..a8a2b844e22 --- /dev/null +++ b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/S-short.txt @@ -0,0 +1,7 @@ +# run-S-short: prompt~100 tok, max_tokens 512, 2 request(s) per user, temperature 0.0 +users ok/req wall agg out dec p50 dec p5 TTFT p50 TTFT p95 TTFT max e2e p50 e2e p95 steady + 1 2/2 7.6 134.0 142.1 140.3 0.22 0.34 0.36 3.8 4.0 140.6 + 2 4/4 12.8 160.5 87.5 84.6 0.52 0.72 0.73 6.4 6.4 167.6 + 4 8/8 19.9 205.7 81.9 79.5 0.72 6.98 7.12 7.1 13.2 227.9 + 8 16/16 37.7 217.4 79.6 79.4 7.44 17.56 27.43 13.5 24.0 - + 16 32/32 74.3 220.5 79.3 79.1 20.52 44.53 48.59 27.0 50.8 - diff --git a/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/join-C-r2.json b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/join-C-r2.json new file mode 100644 index 00000000000..a4cd1186120 --- /dev/null +++ b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/join-C-r2.json @@ -0,0 +1,43 @@ +{ + "cold32k": { + "joiner_ttft_s": [ + 5.796 + ], + "joiner_prompt_tokens": [ + 32908 + ], + "joiner_cached_tokens": [ + 0 + ], + "worst_max_gap_s": 5.805, + "mean_stalled_s": 5.796, + "stream_tokens_during_join": 238, + "aggregate_tok_s": 209.5, + "streams": [ + { + "tokens": 60, + "max_gap_s": 5.789, + "p99_gap_s": 0.032, + "stalled_s": 5.789 + }, + { + "tokens": 57, + "max_gap_s": 5.805, + "p99_gap_s": 0.032, + "stalled_s": 5.805 + }, + { + "tokens": 60, + "max_gap_s": 5.789, + "p99_gap_s": 0.034, + "stalled_s": 5.789 + }, + { + "tokens": 61, + "max_gap_s": 5.801, + "p99_gap_s": 0.032, + "stalled_s": 5.801 + } + ] + } +} \ No newline at end of file diff --git a/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/join-C.json b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/join-C.json new file mode 100644 index 00000000000..68ddcb9464e --- /dev/null +++ b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/join-C.json @@ -0,0 +1,43 @@ +{ + "cold32k": { + "joiner_ttft_s": [ + 5.796 + ], + "joiner_prompt_tokens": [ + 32908 + ], + "joiner_cached_tokens": [ + 0 + ], + "worst_max_gap_s": 5.804, + "mean_stalled_s": 5.793, + "stream_tokens_during_join": 232, + "aggregate_tok_s": 211.1, + "streams": [ + { + "tokens": 61, + "max_gap_s": 5.793, + "p99_gap_s": 0.031, + "stalled_s": 5.793 + }, + { + "tokens": 57, + "max_gap_s": 5.782, + "p99_gap_s": 0.032, + "stalled_s": 5.782 + }, + { + "tokens": 57, + "max_gap_s": 5.804, + "p99_gap_s": 0.032, + "stalled_s": 5.804 + }, + { + "tokens": 57, + "max_gap_s": 5.791, + "p99_gap_s": 0.036, + "stalled_s": 5.791 + } + ] + } +} \ No newline at end of file diff --git a/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/join-PT-r2.json b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/join-PT-r2.json new file mode 100644 index 00000000000..be9cd3f1524 --- /dev/null +++ b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/join-PT-r2.json @@ -0,0 +1,43 @@ +{ + "cold32k": { + "joiner_ttft_s": [ + 8.183 + ], + "joiner_prompt_tokens": [ + 32908 + ], + "joiner_cached_tokens": [ + 0 + ], + "worst_max_gap_s": 0.097, + "mean_stalled_s": 0, + "stream_tokens_during_join": 1346, + "aggregate_tok_s": 285.8, + "streams": [ + { + "tokens": 328, + "max_gap_s": 0.097, + "p99_gap_s": 0.055, + "stalled_s": 0 + }, + { + "tokens": 341, + "max_gap_s": 0.092, + "p99_gap_s": 0.054, + "stalled_s": 0 + }, + { + "tokens": 339, + "max_gap_s": 0.092, + "p99_gap_s": 0.056, + "stalled_s": 0 + }, + { + "tokens": 338, + "max_gap_s": 0.091, + "p99_gap_s": 0.055, + "stalled_s": 0 + } + ] + } +} \ No newline at end of file diff --git a/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/join-PT.json b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/join-PT.json new file mode 100644 index 00000000000..b07962f40e9 --- /dev/null +++ b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/join-PT.json @@ -0,0 +1,43 @@ +{ + "cold32k": { + "joiner_ttft_s": [ + 8.253 + ], + "joiner_prompt_tokens": [ + 32908 + ], + "joiner_cached_tokens": [ + 0 + ], + "worst_max_gap_s": 0.111, + "mean_stalled_s": 0, + "stream_tokens_during_join": 1343, + "aggregate_tok_s": 283.7, + "streams": [ + { + "tokens": 331, + "max_gap_s": 0.111, + "p99_gap_s": 0.055, + "stalled_s": 0 + }, + { + "tokens": 340, + "max_gap_s": 0.111, + "p99_gap_s": 0.055, + "stalled_s": 0 + }, + { + "tokens": 340, + "max_gap_s": 0.111, + "p99_gap_s": 0.055, + "stalled_s": 0 + }, + { + "tokens": 332, + "max_gap_s": 0.111, + "p99_gap_s": 0.056, + "stalled_s": 0 + } + ] + } +} \ No newline at end of file diff --git a/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/join-S-r2.json b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/join-S-r2.json new file mode 100644 index 00000000000..17d9cae63f9 --- /dev/null +++ b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/join-S-r2.json @@ -0,0 +1,43 @@ +{ + "cold32k": { + "joiner_ttft_s": [ + 25.566 + ], + "joiner_prompt_tokens": [ + 32908 + ], + "joiner_cached_tokens": [ + 0 + ], + "worst_max_gap_s": 7.324, + "mean_stalled_s": 1.831, + "stream_tokens_during_join": 4289, + "aggregate_tok_s": 165.6, + "streams": [ + { + "tokens": 1367, + "max_gap_s": 0.251, + "p99_gap_s": 0.023, + "stalled_s": 0 + }, + { + "tokens": 788, + "max_gap_s": 0.032, + "p99_gap_s": 0.023, + "stalled_s": 0 + }, + { + "tokens": 705, + "max_gap_s": 7.324, + "p99_gap_s": 0.023, + "stalled_s": 7.324 + }, + { + "tokens": 1429, + "max_gap_s": 0.24, + "p99_gap_s": 0.023, + "stalled_s": 0 + } + ] + } +} \ No newline at end of file diff --git a/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/join-S.json b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/join-S.json new file mode 100644 index 00000000000..978e710e969 --- /dev/null +++ b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/join-S.json @@ -0,0 +1,43 @@ +{ + "cold32k": { + "joiner_ttft_s": [ + 16.704 + ], + "joiner_prompt_tokens": [ + 32908 + ], + "joiner_cached_tokens": [ + 0 + ], + "worst_max_gap_s": 7.372, + "mean_stalled_s": 3.686, + "stream_tokens_during_join": 2355, + "aggregate_tok_s": 168.4, + "streams": [ + { + "tokens": 785, + "max_gap_s": 7.372, + "p99_gap_s": 0.023, + "stalled_s": 7.372 + }, + { + "tokens": 771, + "max_gap_s": 0.023, + "p99_gap_s": 0.023, + "stalled_s": 0 + }, + { + "tokens": 0, + "max_gap_s": 0, + "p99_gap_s": 0, + "stalled_s": 0 + }, + { + "tokens": 799, + "max_gap_s": 7.372, + "p99_gap_s": 0.023, + "stalled_s": 7.372 + } + ] + } +} \ No newline at end of file diff --git a/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/multiturn.jsonl b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/multiturn.jsonl new file mode 100644 index 00000000000..2dabe89b675 --- /dev/null +++ b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/data/multiturn.jsonl @@ -0,0 +1,6 @@ +{"label": "run-C-mt", "ts": "2026-11-08T17:28:51+01:00", "users": 16, "turns": 3, "temperature": 0.0, "wall_s": 97.7, "turn1": {"prompt": 11131, "cached": 0, "ttft_p50": 17.44, "ttft_p95": 33.08, "dec_p50": 9.9}, "turn2": {"prompt": 15586, "cached": 11218, "ttft_p50": 2.53, "ttft_p95": 9.54, "dec_p50": 13.1}, "turn3": {"prompt": 20029, "cached": 15681, "ttft_p50": 1.44, "ttft_p95": 9.36, "dec_p50": 22.6}, "out_tok": 14036, "agg_out_tps": 143.6, "prompt_tok": 747955, "follow_ttft_p50": 2.03, "reply_fields": ["uid", "turn", "gen", "sha256"], "replies": 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python3 +"""Concurrency sweep against an OpenAI-compatible endpoint (Strata, llama.cpp, vLLM). + +N closed-loop users each send ROUNDS streamed chat requests one after another; every request carries a unique +header first (so no prompt/conversation cache hit), a ~PROMPT_TOK-token document and asks for a long answer capped at +MAX_TOK. Per level it reports the aggregate output rate (completion tokens / wall), the same rate over the steady +window only (agg_out_tps_steady, see run_level), TTFT, per-request decode rate (tokens after the first / time after +the first) and end-to-end latency, and appends a JSON line to --out. + +The prompt depends only on the request id (uid) and the prompt kind (--prompt-tok), never on the label or the clock, +so two arms of an A/B send byte-identical requests. With --temperature 0 an exact engine change must then return +the same text: every request's reply sha256 is written to a sidecar JSONL (.requests.jsonl, one line per level, +with uid, max_tokens, tokens, timestamps) and compare_replies.py compares two labels uid by uid. + + python3 bench_concurrency.py --url http://127.0.0.1:8080 --levels 1,2,4,8,16 --label batch8 + python3 compare_replies.py results/sweep.requests.jsonl ab-x-A-short ab-x-B-short +""" +import argparse +import concurrent.futures as cf +import datetime +import hashlib +import json +import statistics +import threading +import time +import urllib.request + +TOPICS = [ + "how NVMe SSD wear leveling works", "the CAP theorem in distributed systems", + "TCP congestion control (CUBIC and BBR)", "why B-trees are used in database indexes", + "virtual memory and page tables", "event-driven vs synchronous server architectures", + "how GPU tensor cores execute matrix multiplication", "cache coherency protocols in multi-core CPUs", + "the Raft consensus algorithm", "garbage collection in the JVM", "how a compiler performs register allocation", + "the design of the Linux CFS/EEVDF scheduler", "public-key infrastructure and TLS handshakes", + "how LSM-trees work in RocksDB", "mixture-of-experts language models", "speculative decoding for LLMs", +] +FILLER = ( + "The system under discussion consists of several cooperating components. Each component exposes a narrow " + "interface, keeps its own state and communicates through explicit messages. Failures are expected and handled " + "locally where possible; otherwise they are escalated with enough context for an operator to act. Performance " + "is measured end to end, and every optimisation is justified by a measurement rather than by intuition. " +) + + +def pct(xs, p): + if not xs: + return float("nan") + xs = sorted(xs) + k = (len(xs) - 1) * p / 100.0 + lo, hi = int(k), min(int(k) + 1, len(xs) - 1) + return xs[lo] + (xs[hi] - xs[lo]) * (k - lo) + + +def prompt_for(a, uid): + """Deterministic: uid + prompt kind only. The unique header comes first, so two requests (also a short and a long + run on the same server: same uids, different --prompt-tok) share no cacheable prefix beyond the chat template.""" + topic = TOPICS[uid % len(TOPICS)] + doc = FILLER * max(1, a.prompt_tok // 60) + rid = uid + a.uid_offset + tag = hashlib.sha256(f"{a.prompt_tok}/{rid}".encode()).hexdigest()[:8] # differs from the first character on + return (f"[{tag} | {a.prompt_tok}-token request {rid}]\nBackground notes:\n{doc}\n\n" + f"Task: write a long, thorough and well-structured technical explanation of {topic}. " + f"Use several sections and concrete examples. Do not stop early.") + + +def mix_lengths(a): + """--max-tok-min: the reply-length multiset every user gets (rotated per user, see run_level), ROUNDS lengths + evenly spaced over [max-tok-min, max-tok]; one round -> the midpoint for everyone.""" + lo, hi, n = a.max_tok_min, a.max_tok, a.rounds + if n == 1: + return [(lo + hi) // 2] + return [lo + round(k * (hi - lo) / (n - 1)) for k in range(n)] + + +def one_request(a, uid, max_tok=None): + max_tok = max_tok or a.max_tok + body = {"model": a.model, "messages": [{"role": "user", "content": prompt_for(a, uid)}], "max_tokens": max_tok, + "stream": True, "temperature": a.temperature, "seed": uid, "reasoning_effort": "none", + "stream_options": {"include_usage": True}} + if a.vllm: + body["chat_template_kwargs"] = {"enable_thinking": False} + body.pop("reasoning_effort") + hdr = {"Content-Type": "application/json"} + if a.key: + hdr["Authorization"] = "Bearer " + a.key + urls = a.url.split(",") # several instances: round-robin by request id (data-parallel setups) + req = urllib.request.Request(urls[uid % len(urls)].rstrip("/") + "/v1/chat/completions", + data=json.dumps(body).encode(), headers=hdr) + t0 = time.perf_counter() + t_first = None + chunks = 0 + usage = None + err = None + text, think = [], [] + try: + with urllib.request.urlopen(req, timeout=a.timeout) as r: + for raw in r: + line = raw.decode("utf-8", "replace").strip() + if not line.startswith("data:"): + continue + data = line[5:].strip() + if data == "[DONE]": + break + try: + c = json.loads(data) + except ValueError: + continue + if c.get("error"): + err = str(c["error"])[:200] + if c.get("usage"): + usage = c["usage"] + for ch in c.get("choices") or []: + d = ch.get("delta") or {} + if d.get("content") or d.get("reasoning_content"): + if t_first is None: + t_first = time.perf_counter() + chunks += 1 + text.append(d.get("content") or "") + think.append(d.get("reasoning_content") or "") + except Exception as e: # noqa: BLE001 - a failed request is a result too + err = repr(e)[:200] + t1 = time.perf_counter() + reply = "".join(text) + if any(think): # reasoning (if any) ahead of the answer, NUL-separated + reply = "".join(think) + "\x00" + reply + gen = (usage or {}).get("completion_tokens", chunks) + ptok = (usage or {}).get("prompt_tokens", 0) + cached = ((usage or {}).get("prompt_tokens_details") or {}).get("cached_tokens", 0) or 0 + ttft = (t_first - t0) if t_first else float("nan") + dec = (gen - 1) / (t1 - t_first) if t_first and t1 > t_first and gen > 1 else float("nan") + return {"uid": uid, "max_tok": max_tok, "t0": t0, "t_first": t_first, "t1": t1, "ttft": ttft, "e2e": t1 - t0, + "gen": gen, "prompt": ptok, "cached": cached, "dec_tps": dec, "err": err, + "sha256": hashlib.sha256(reply.encode("utf-8")).hexdigest()} + + +def steady_window(results, n): + """Steady window of a closed-loop level: from the moment every user has its first token (all slots busy, the + admission ramp is over) to the moment the first user finishes its last request (from there on slots drain). + Returns (start, end, tokens emitted in it); tokens of a request are spread linearly over t_first..t1.""" + by_user = {} + for r in results: + by_user.setdefault(r["user"], []).append(r) + if len(by_user) < n or any(not r["t_first"] for r in results): + return None + start = max(min(r["t_first"] for r in rs) for rs in by_user.values()) + end = min(max(r["t1"] for r in rs) for rs in by_user.values()) + if end - start <= 0: + return None + tok = 0.0 + for r in results: + if start <= r["t_first"] <= end: + tok += 1 # the first token + span = r["t1"] - r["t_first"] + if r["gen"] > 1 and span > 0: + ov = min(end, r["t1"]) - max(start, r["t_first"]) + if ov > 0: + tok += (r["gen"] - 1) * ov / span + return start, end, tok + + +def run_level(a, n, base_uid): + results, lock = [], threading.Lock() + lengths = mix_lengths(a) if a.max_tok_min and a.max_tok_min < a.max_tok else None + + def user(i): + for r in range(a.rounds): + # mixed reply lengths: user i gets the same multiset as every other user, rotated by i, so all users + # carry equal work (no closed-loop tail from one user drawing only long replies) + mt = lengths[(r + i) % len(lengths)] if lengths else a.max_tok + res = one_request(a, base_uid + i * a.rounds + r, mt) + res["user"] = i + with lock: + results.append(res) + + ts = datetime.datetime.now().astimezone().isoformat(timespec="seconds") + t0 = time.perf_counter() + with cf.ThreadPoolExecutor(max_workers=n) as ex: + list(ex.map(user, range(n))) + wall = time.perf_counter() - t0 + ok = [r for r in results if not r["err"] and r["gen"] > 0] + errs = [r["err"] for r in results if r["err"]] + tot_gen = sum(r["gen"] for r in ok) + tot_prompt = sum(r["prompt"] for r in ok) + ttft = [r["ttft"] for r in ok if r["ttft"] == r["ttft"]] + dec = [r["dec_tps"] for r in ok if r["dec_tps"] == r["dec_tps"]] + e2e = [r["e2e"] for r in ok] + sw = steady_window(results, n) if len(ok) == len(results) else None + results.sort(key=lambda r: r["uid"]) + row = { + "label": a.label, "ts": ts, "users": n, "rounds": a.rounds, "requests": len(results), "ok": len(ok), + "errors": len(errs), "err_sample": errs[:3], "wall_s": round(wall, 2), "max_tok": a.max_tok, + "max_tok_min": a.max_tok_min, "temperature": a.temperature, "prompt_kind": a.prompt_tok, + "prompt_tok_avg": round(tot_prompt / max(1, len(ok))), + "out_tok_total": tot_gen, "agg_out_tps": round(tot_gen / wall, 1), + "agg_out_tps_steady": round(sw[2] / (sw[1] - sw[0]), 1) if sw else None, + "steady_s": round(sw[1] - sw[0], 2) if sw else None, + "agg_total_tps": round((tot_gen + tot_prompt) / wall, 1), + "ttft_p50": round(pct(ttft, 50), 2), "ttft_p95": round(pct(ttft, 95), 2), "ttft_max": round(max(ttft) if ttft else float("nan"), 2), + "dec_tps_p50": round(pct(dec, 50), 1), "dec_tps_p5": round(pct(dec, 5), 1), "dec_tps_p95": round(pct(dec, 95), 1), + "e2e_p50": round(pct(e2e, 50), 1), "e2e_p95": round(pct(e2e, 95), 1), + "cached_tok": sum(r["cached"] for r in ok), + # one digest over all (uid, reply sha256): equal digests = every reply identical (greedy exactness check) + "replies_sha256": hashlib.sha256("".join(f"{r['uid']}:{r['sha256']}\n" for r in results).encode()).hexdigest(), + } + rel = (lambda x: round(x - t0, 3) if x else None) + reqs = {"label": a.label, "ts": ts, "users": n, "fields": REQ_FIELDS, + "reqs": [[r["uid"], r["user"], r["max_tok"], r["gen"], r["prompt"], rel(r["t0"]), rel(r["t_first"]), + rel(r["t1"]), r["sha256"], r["err"]] for r in results]} + return row, reqs + + +REQ_FIELDS = ["uid", "user", "max_tok", "gen", "prompt", "t0", "t_first", "t_end", "sha256", "err"] + + +def main(): + ap = argparse.ArgumentParser() + ap.add_argument("--url", default="http://127.0.0.1:8080") + ap.add_argument("--key", default="") + ap.add_argument("--label", default="run") + ap.add_argument("--levels", default="1,2,4,8,16") + ap.add_argument("--rounds", type=int, default=2, help="requests per user, sent back to back") + ap.add_argument("--max-tok", type=int, default=512) + ap.add_argument("--max-tok-min", type=int, default=0, + help="> 0: mixed reply lengths: ROUNDS lengths evenly spaced over [max-tok-min, max-tok], every user " + "gets all of them in a rotated order (equal work per user), so the slots do not finish in " + "lockstep but no user is left running alone at the end") + ap.add_argument("--prompt-tok", type=int, default=1000) + ap.add_argument("--temperature", type=float, default=0.7) + ap.add_argument("--timeout", type=float, default=3600) + ap.add_argument("--warmup", type=int, default=1) + ap.add_argument("--out", default="") + ap.add_argument("--req-out", default="auto", + help="per-request JSONL (uid, max_tokens, tokens, t0/t_first/t_end relative to the level start, " + "reply sha256); auto = .requests.jsonl, '' = off") + ap.add_argument("--uid-offset", type=int, default=0, + help="added to the request id in the prompt header only: set it when the same prompt kind runs " + "twice on one live server with a prompt cache (default 0 keeps prompts identical across arms)") + ap.add_argument("--model", default="strata") + ap.add_argument("--vllm", action="store_true", help="thinking off via chat_template_kwargs (vLLM)") + a = ap.parse_args() + if a.req_out == "auto": + a.req_out = (a.out[:-6] if a.out.endswith(".jsonl") else a.out) + ".requests.jsonl" if a.out else "" + for w in range(a.warmup): + one_request(a, 10_000_000 + w) + print(f"# {a.label}: prompt~{a.prompt_tok} tok, max_tokens {a.max_tok}, {a.rounds} request(s) per user, " + f"temperature {a.temperature}" + + (f", reply lengths {mix_lengths(a)} rotated per user" if a.max_tok_min and a.max_tok_min < a.max_tok else ""), + flush=True) + print(f"{'users':>5} {'ok/req':>7} {'wall':>7} {'agg out':>8} {'dec p50':>8} {'dec p5':>7} {'TTFT p50':>9} " + f"{'TTFT p95':>9} {'TTFT max':>9} {'e2e p50':>8} {'e2e p95':>8} {'steady':>7}", flush=True) + for i, n in enumerate(int(x) for x in a.levels.split(",")): + row, reqs = run_level(a, n, 1_000_000 * (i + 1)) + print(f"{n:>5} {row['ok']:>3}/{row['requests']:<3} {row['wall_s']:>7.1f} {row['agg_out_tps']:>8.1f} " + f"{row['dec_tps_p50']:>8.1f} {row['dec_tps_p5']:>7.1f} {row['ttft_p50']:>9.2f} {row['ttft_p95']:>9.2f} " + f"{row['ttft_max']:>9.2f} {row['e2e_p50']:>8.1f} {row['e2e_p95']:>8.1f} " + f"{row['agg_out_tps_steady'] if row['agg_out_tps_steady'] is not None else '-':>7}" + + (f" ERR {row['err_sample']}" if row["errors"] else ""), flush=True) + if a.out: + with open(a.out, "a") as f: + f.write(json.dumps(row) + "\n") + if a.req_out: + with open(a.req_out, "a") as f: + f.write(json.dumps(reqs, separators=(",", ":")) + "\n") + time.sleep(2) + + +if __name__ == "__main__": + main() diff --git a/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/scripts/bench_multiturn.py b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/scripts/bench_multiturn.py new file mode 100644 index 00000000000..02547df6e74 --- /dev/null +++ b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/scripts/bench_multiturn.py @@ -0,0 +1,132 @@ +#!/usr/bin/env python3 +"""Agent-style multi-turn benchmark against an OpenAI-compatible endpoint (Strata, vLLM). + +N users each hold one conversation of T turns. Turn 1 sends a large unique document (~DOC tokens) plus a task; every +later turn sends the full history (previous answers included) plus ~ADD new tokens and a new task - the way an agent +loop or a chat client resends its context. Users run concurrently, so conversations interleave like a main agent and +its sub-agents. What matters: time to first token of the follow-up turns (does the engine reuse the conversation or +read it again?), decode rate, aggregate output. The --out row also carries every turn's reply sha256 (uid, turn, +tokens, sha256): with --temperature 0 two arms of an exact change must match turn by turn (the later turns resend the +earlier replies, so the first difference cascades into all following turns of that user). + + python3 bench_multiturn.py --url http://127.0.0.1:8090 --users 8 --turns 5 --label strata-agent +""" +import argparse, concurrent.futures as cf, datetime, hashlib, json, statistics, threading, time, urllib.request + +WORDS = ("system design latency throughput cache memory kernel scheduler packet buffer index query storage replica " + "shard consensus leader follower snapshot checkpoint journal compaction bloom filter hash tree page block " + "extent inode socket thread process lock mutex barrier fence atomic vector matrix tensor gradient").split() + + +def doc(uid, turn, n_tok): + # deterministic, unique per user and turn; ~1.3 words per token + out, k = [], uid * 7919 + turn * 104729 + for i in range(int(n_tok / 1.3)): + k = (k * 6364136223846793005 + 1442695040888963407) & ((1 << 64) - 1) + out.append(WORDS[(k >> 33) % len(WORDS)]) + if i % 17 == 16: + out.append(f"(note {uid}.{turn}.{i})\n") + return " ".join(out) + + +def call(a, messages): + body = {"model": a.model, "messages": messages, "max_tokens": a.max_tok, "temperature": a.temperature, "stream": True, + "stream_options": {"include_usage": True}} + if a.vllm: + body["chat_template_kwargs"] = {"enable_thinking": False} + else: + body["reasoning_effort"] = "none" + req = urllib.request.Request(a.url.rstrip("/") + "/v1/chat/completions", data=json.dumps(body).encode(), + headers={"Content-Type": "application/json"}) + t0 = time.perf_counter() + t_first, text, usage = None, [], {} + with urllib.request.urlopen(req, timeout=3600) as r: + for raw in r: + line = raw.decode("utf-8", "replace").strip() + if not line.startswith("data:") or line == "data: [DONE]": + continue + c = json.loads(line[5:]) + if c.get("usage"): + usage = c["usage"] + for ch in c.get("choices") or []: + d = (ch.get("delta") or {}).get("content") + if d: + if t_first is None: + t_first = time.perf_counter() + text.append(d) + t1 = time.perf_counter() + gen = usage.get("completion_tokens", len(text)) + cached = (usage.get("prompt_tokens_details") or {}).get("cached_tokens", 0) or 0 + return {"ttft": (t_first or t1) - t0, "e2e": t1 - t0, "gen": gen, "prompt": usage.get("prompt_tokens", 0), + "cached": cached, "dec": (gen - 1) / (t1 - t_first) if t_first and gen > 1 and t1 > t_first else 0.0, + "text": "".join(text)} + + +def user(a, uid, rows, lock): + msgs = [{"role": "system", "content": f"You are agent #{uid}. Answer concisely and precisely."}] + for t in range(a.turns): + n = a.doc if t == 0 else a.add + msgs.append({"role": "user", "content": f"[agent {uid}, step {t + 1}] New material:\n{doc(uid, t, n)}\n\n" + f"Task: summarise what is new in this material and how it relates " + f"to the earlier steps."}) + r = call(a, msgs) + msgs.append({"role": "assistant", "content": r["text"]}) + r["sha256"] = hashlib.sha256(r.pop("text").encode("utf-8")).hexdigest() + r.update(uid=uid, turn=t + 1) + with lock: + rows.append(r) + time.sleep(a.think) + + +def main(): + ap = argparse.ArgumentParser() + ap.add_argument("--url", required=True) + ap.add_argument("--model", default="x") + ap.add_argument("--label", required=True) + ap.add_argument("--vllm", action="store_true") + ap.add_argument("--users", type=int, default=8) + ap.add_argument("--turns", type=int, default=5) + ap.add_argument("--doc", type=int, default=8000, help="tokens of the first turn's document") + ap.add_argument("--add", type=int, default=3000, help="new tokens per later turn") + ap.add_argument("--max-tok", type=int, default=400) + ap.add_argument("--think", type=float, default=1.0, help="seconds a user waits between turns") + ap.add_argument("--temperature", type=float, default=0.7, help="0 = greedy (reply hashes comparable across arms)") + ap.add_argument("--out", default="") + ap.add_argument("--uid-offset", type=int, default=0, + help="first user id: another offset = other documents = new conversations (soak cycles)") + a = ap.parse_args() + rows, lock = [], threading.Lock() + ts = datetime.datetime.now().astimezone().isoformat(timespec="seconds") + t0 = time.perf_counter() + with cf.ThreadPoolExecutor(a.users) as ex: + list(ex.map(lambda u: user(a, u, rows, lock), range(a.uid_offset, a.uid_offset + a.users))) + wall = time.perf_counter() - t0 + print(f"# {a.label}: {a.users} users x {a.turns} turns, doc {a.doc} + {a.add}/turn, {a.max_tok} out") + print(f"{'turn':>4} {'prompt':>7} {'cached':>7} {'TTFT p50':>9} {'TTFT p95':>9} {'dec p50':>8}") + summary = {"label": a.label, "ts": ts, "users": a.users, "turns": a.turns, "temperature": a.temperature, + "wall_s": round(wall, 1)} + for t in range(1, a.turns + 1): + rs = [r for r in rows if r["turn"] == t] + tt = sorted(r["ttft"] for r in rs) + p95 = tt[min(len(tt) - 1, int(0.95 * len(tt)))] + row = {"prompt": int(statistics.mean(r["prompt"] for r in rs)), "cached": int(statistics.mean(r["cached"] for r in rs)), + "ttft_p50": round(statistics.median(tt), 2), "ttft_p95": round(p95, 2), + "dec_p50": round(statistics.median(r["dec"] for r in rs), 1)} + summary[f"turn{t}"] = row + print(f"{t:>4} {row['prompt']:>7} {row['cached']:>7} {row['ttft_p50']:>9.2f} {row['ttft_p95']:>9.2f} {row['dec_p50']:>8.1f}") + out_tok = sum(r["gen"] for r in rows) + in_tok = sum(r["prompt"] for r in rows) + summary.update(out_tok=out_tok, agg_out_tps=round(out_tok / wall, 1), prompt_tok=in_tok, + follow_ttft_p50=round(statistics.median(r["ttft"] for r in rows if r["turn"] > 1), 2), + reply_fields=["uid", "turn", "gen", "sha256"], + replies=[[r["uid"], r["turn"], r["gen"], r["sha256"]] + for r in sorted(rows, key=lambda r: (r["uid"], r["turn"]))]) + print(f"wall {wall:.0f}s, output {out_tok} tok = {out_tok / wall:.1f} tok/s, prompt tokens sent {in_tok}, " + f"follow-up TTFT p50 {summary['follow_ttft_p50']} s") + if a.out: + with open(a.out, "a") as f: + f.write(json.dumps(summary) + "\n") + + +if __name__ == "__main__": + main() diff --git a/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/scripts/compare_replies.py b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/scripts/compare_replies.py new file mode 100644 index 00000000000..296b992d6d5 --- /dev/null +++ b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/scripts/compare_replies.py @@ -0,0 +1,79 @@ +#!/usr/bin/env python3 +"""Compare the replies of two bench_concurrency.py runs uid by uid (the production-path exactness check). + +bench_concurrency.py writes one line per level into .requests.jsonl with every request's reply sha256. The prompt +depends only on the uid and the prompt kind, so two arms that ran the same levels/rounds/prompt kind sent the same +requests; with --temperature 0 an exact engine change must give identical replies for every uid. Meaningless with +sampling (temperature > 0): then only the length columns are comparable. + + python3 compare_replies.py results/sweep.requests.jsonl ab-x-T16-142fcb-short ab-x-T16-142fcd-short + python3 compare_replies.py FILE LABEL_A LABEL_B --users 16 --show 5 + +If a label occurs several times in the file (re-run with the same label), the last line per level wins. +Exit code: 0 all common uids identical, 1 some differ, 2 nothing to compare. +""" +import argparse +import json +import sys + + +def load(path, label, users): + out = {} + with open(path) as f: + for line in f: + line = line.strip() + if not line: + continue + row = json.loads(line) + if row.get("label") != label or (users and row.get("users") != users): + continue + fields = row["fields"] + for rec in row["reqs"]: + r = dict(zip(fields, rec)) + out[r["uid"]] = r + return out + + +def main(): + ap = argparse.ArgumentParser(description=__doc__.split("\n\n")[0]) + ap.add_argument("file", help="the .requests.jsonl sidecar (e.g. results/sweep.requests.jsonl)") + ap.add_argument("label_a") + ap.add_argument("label_b") + ap.add_argument("--file-b", default="", help="read label B from another sidecar file") + ap.add_argument("--users", type=int, default=0, help="only this concurrency level (default: all levels)") + ap.add_argument("--show", type=int, default=10, help="list up to N differing uids") + a = ap.parse_args() + ra = load(a.file, a.label_a, a.users) + rb = load(a.file_b or a.file, a.label_b, a.users) + if not ra or not rb: + print(f"no requests for {'A' if not ra else 'B'} ({a.label_a if not ra else a.label_b}) in " + f"{a.file if not ra else (a.file_b or a.file)}") + return 2 + common = sorted(set(ra) & set(rb)) + only_a, only_b = len(set(ra) - set(rb)), len(set(rb) - set(ra)) + same, diff, errs = [], [], [] + for u in common: + x, y = ra[u], rb[u] + if x.get("err") or y.get("err"): + errs.append(u) + elif x["sha256"] == y["sha256"]: + same.append(u) + else: + diff.append(u) + mt = sum(1 for u in common if ra[u]["max_tok"] != rb[u]["max_tok"]) + print(f"{a.label_a} vs {a.label_b}: {len(common)} common uids - identical {len(same)}, different {len(diff)}" + + (f", errored {len(errs)}" if errs else "") + + (f"; only in A {only_a}, only in B {only_b}" if only_a or only_b else "")) + if mt: + print(f"WARNING: max_tokens differs for {mt} common uids (different --max-tok/--max-tok-min/--rounds?)") + for u in diff[:a.show]: + x, y = ra[u], rb[u] + print(f" uid {u}: tokens {x['gen']} vs {y['gen']} (max {x['max_tok']}), " + f"sha {x['sha256'][:12]} vs {y['sha256'][:12]}") + if not common: + return 2 + return 1 if diff else 0 + + +if __name__ == "__main__": + sys.exit(main()) diff --git a/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/strata_bench/C/README.md b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/strata_bench/C/README.md new file mode 100644 index 00000000000..9e031cb0aa8 --- /dev/null +++ b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/strata_bench/C/README.md @@ -0,0 +1,71 @@ +# Community benchmark on NVIDIA GeForce RTX 3090 + NVIDIA GeForce RTX 3090 + NVIDIA GeForce RTX 3090 + NVIDIA GeForce RTX 3090 + +Measured on 2026-11-08 with `tools/strata_bench.py` (suite 1, 3 runs per test, medians with ranges). Speeds are the engine's own timings; first-token times are measured by the client over HTTP. Speed only: no correctness check was run. + +## Hardware and software + +- GPU and VRAM: NVIDIA GeForce RTX 3090 + NVIDIA GeForce RTX 3090 + NVIDIA GeForce RTX 3090 + NVIDIA GeForce RTX 3090, 96 GiB VRAM +- CPU: AMD Ryzen Threadripper 3990X 64-Core Processor (64 cores, 128 threads); installed RAM: 251.5 GiB; storage: sda Samsung SSD 860 EVO 500GB sata; nvme1n1 CT1000P310SSD8 nvme; nvme2n1 CT1000P310SSD8 nvme; nvme0n1 CT1000P310SSD8 nvme +- OS: Linux 7.0.0-38-generic; GPU driver: 580.196.07; CUDA (driver supports up to): 13.0 +- Strata: project 0.1.58, commit 146df3c4; engine 0.1.58 +- GPU detail (after the run, near idle): power_limit_w=320.00, power_draw_w=293.41, pcie=gen3 x16, pstate=P2, temp_c=66 +- GPU detail (after the run, near idle): power_limit_w=320.00, power_draw_w=275.73, pcie=gen3 x16, pstate=P2, temp_c=66 +- GPU detail (after the run, near idle): power_limit_w=320.00, power_draw_w=287.46, pcie=gen4 x8, pstate=P2, temp_c=59 +- GPU detail (after the run, near idle): power_limit_w=320.00, power_draw_w=287.46, pcie=gen4 x8, pstate=P2, temp_c=68 +- Background workloads: not recorded (GPU power limit/draw read above) + +## Model and configuration + +- Model and quantization: qwen3.8-flash-next-unsloth-ud-iq4_xs +- Context: 262144 tokens; parallel slots: 16 +- Settings: the install's own configuration, unchanged; thinking off for the suite; temperature 0 + +```text +strata-212-stocktab-f83fd81691a5b053 --pack unsloth-ud-iq4_xs --native Qwen3.8-Flash-Next-UD-IQ4_XS-00001-of-00003.gguf --expert-profile expert-profile.bin --expert-cache auto --prefill 512 --spec 4 --spec-min-p 0.5 --mtp rt --max-context 262144 --kv int8 --resident-experts --trim-stage-weights --ple-io ram --aux-cpus 65-127 --conversation-cache-mib 126976 --conversation-cache-slots 448 --kv-resident 28672 --conversation-cache-min-free-mib 16384 --conversation-cache-min-tokens 1024 --vision --prompt-cache-every 8192 --prompt-cache 12 +``` + +Environment of the config: `STRATA_MMQ_DIRECT=1`, `STRATA_SLOT_COPY_DIRECT=1`, `STRATA_PIPE_BYIELD_NODRAIN=1`, `STRATA_ADMIT_MERGE_FIRST=1`, `STRATA_CKPT_POOL=1`, `STRATA_CKPT_THREADS=1`, `STRATA_SLOT_CKPT_MOVE=1`, `STRATA_SLOT_COPY_BATCHSYNC=1`, `STRATA_SPLIT_MTP_BATCH=1`, `STRATA_MMQ_GROUP_SORT=1`, `STRATA_BATCH_SELF_COMMIT=1`, `STRATA_NAN_GUARD=0`, `STRATA_QSA_SLOTS=1`, `STRATA_HANDOFF_PIPE=8`, `STRATA_KV_PREFETCH=1`, `STRATA_GR_FAST=1`, `STRATA_GR_NORM_FAST=1`, `STRATA_MMVF_ROWS=1`, `STRATA_GDN_TC=0`, `STRATA_GDN_CONVL2=0`, `STRATA_PROMPT_ATTN_IMMA=0`, `STRATA_AUTO_NOBORROW=0`, `STRATA_PF_W16_CACHE_MIB=0`, `STRATA_MMQ_KQ=0`, `STRATA_BATCH_GDN_GROUPS=1`, `STRATA_BATCH_ATTN_ROWS=1`, `STRATA_CKPT_POOL_READY=4` + +## Method + +Run by `python tools/strata_bench.py --clients 16 --long` against the HTTP API of a Strata server (already running); model loading is not timed. One warm-up chat and a 1K prompt are discarded first. Every prompt starts with a unique tag, so the conversation cache cannot help the fresh-prompt tests. + +- short chat: the three questions of `tools/ab_engine.py`, up to 100 new tokens, 3 runs +- 4K / 16K prompts: generated word lists sized by a calibration request, 24 new tokens, 3 fresh prompts each +- agent session: system prompt and four tools, then 5 turns that each add about 1500 words of a project file and continue from the model's own earlier answers (the way agent clients resend a conversation), 64 new tokens per turn, 3 sessions; the cache numbers come from the answer's usage (`cached_tokens`) and timings (`prompt_n`) +- concurrency (when run): N requests sent at the same moment, total tokens over the wall time of the burst, latency over all requests + +## Results + +| Configuration | Actual prompt tokens | Reused tokens | Generated tokens | Runs | Prompt tok/s median and range | Decode tok/s median and range | TTFT seconds median and range | +| --- | ---: | ---: | ---: | ---: | --- | --- | --- | +| short chat | 46 (43-51) | 0 | 100 (100-100) | 9 | not measured | 126.8 (108.2-177.2) | 0.20 (0.17-0.33) | +| 4K prompt, fresh | 4019 (4019-4019) | 0 (0-0) | 24 cap | 3 | 4750.0 (4736.6-5709.6) | not measured | 0.86 (0.72-0.87) | +| 16K prompt, fresh | 16058 (16058-16058) | 0 (0-0) | 24 cap | 3 | 6225.5 (6217.3-6592.5) | not measured | 2.61 (2.46-2.61) | +| 32K prompt, fresh | 32049 (32049-32049) | 0 (0-0) | 24 cap | 3 | 6401.1 (6365.4-7152.5) | not measured | 5.05 (4.52-5.08) | +| agent session, follow-up turns | 13604 (13595-13610) at the last turn | see below | up to 64 | 3 | see below | 138.0 (126.6-173.2) | 0.77 (0.48-1.22) | + +Ranges are the lowest and highest of the runs; `Runs` counts requests that returned a token. + +### Agent session (conversation cache) + +Cache hit over the follow-up turns: 69.7 % (69.2-69.9); earlier-turn tokens read again per session: 72 (1-284) (earlier turns that the cache did not hold; the 12726 (12725-12727) new tokens of the files are read once); first turn (nothing cached) first token: 0.91 s (0.65-0.92). + +| Turn (run 1) | Prompt tokens | Reused | Read | Prompt tok/s | First token (s) | Decode tok/s | +| ---: | ---: | ---: | ---: | ---: | ---: | ---: | +| 0 | 609 | 0 | 609 | 957.5 | 0.653 | 140.4 | +| 1 | 3838 | 634 | 3204 | 4258.4 | 0.777 | 144.9 | +| 2 | 5371 | 3902 | 1469 | 3174.2 | 0.484 | 127.1 | +| 3 | 8615 | 5364 | 3251 | 3117.9 | 1.067 | 138.0 | +| 4 | 10821 | 8657 | 2164 | 3576.9 | 0.629 | 131.1 | +| 5 | 13595 | 10885 | 2710 | 3848.9 | 0.728 | 166.6 | + +### Concurrency: 16 clients + +Total 275.3 tok/s (247.8-275.3); first token p50 2.468 s, p95 4.609 s; request latency p50 7.416 s, p95 8.245 s; errors 0. Server parallel slots: 16 (requests beyond that wait their turn). + +Per-request data: `results.json`. Engine log lines from the start: `engine-log-excerpt.txt` (when this run started the server). + +## Correctness and limitations + +Not measured: this is a speed suite. The conversation uses the model's own replies, so token counts differ a little between runs. Machine details come from the server, `nvidia-smi`/`rocm-smi` and the OS; background load is not recorded. Total time of the suite: 81 s. diff --git a/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/strata_bench/C/results.json b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/strata_bench/C/results.json new file mode 100644 index 00000000000..fa76d0ff1a9 --- /dev/null +++ b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/strata_bench/C/results.json @@ -0,0 +1,1249 @@ +{ + "schema": 1, + "tool": "tools/strata_bench.py", + "date": "2026-11-08", + "params": { + "runs": 3, + "think": false, + "clients": 16, + "long": true, + "started_server": false, + "command": "python tools/strata_bench.py --clients 16 --long" + }, + "elapsed_s": 81.00268340110779, + "machine": { + "gpu": [ + "NVIDIA GeForce RTX 3090", + "NVIDIA GeForce RTX 3090", + "NVIDIA GeForce RTX 3090", + "NVIDIA GeForce RTX 3090" + ], + "gpu_vram_mib": 98304, + "gpu_driver": "580.196.07", + "gpu_detail": [ + { + "power_limit_w": "320.00", + "power_draw_w": "293.41", + "pcie": "gen3 x16", + "pstate": "P2", + "temp_c": "66" + }, + { + "power_limit_w": "320.00", + "power_draw_w": "275.73", + "pcie": "gen3 x16", + "pstate": "P2", + "temp_c": "66" + }, + { + "power_limit_w": "320.00", + "power_draw_w": "287.46", + "pcie": "gen4 x8", + "pstate": "P2", + "temp_c": "59" + }, + { + "power_limit_w": "320.00", + "power_draw_w": "287.46", + "pcie": "gen4 x8", + "pstate": "P2", + "temp_c": "68" + } + ], + "cuda": "13.0", + "engine_build": null, + "cpu": "AMD Ryzen Threadripper 3990X 64-Core Processor", + "cpu_cores": 64, + "storage": "sda Samsung SSD 860 EVO 500GB sata; nvme1n1 CT1000P310SSD8 nvme; nvme2n1 CT1000P310SSD8 nvme; nvme0n1 CT1000P310SSD8 nvme", + "cpu_threads": 128, + "ram_gib": 251.5, + "os": "Linux 7.0.0-38-generic", + "python": "3.12.3", + "strata_version": "0.1.58", + "strata_commit": "146df3c4", + "engine_version": "0.1.58", + "model": "qwen3.8-flash-next-unsloth-ud-iq4_xs", + "quant": "UD-IQ4_XS", + "context": 262144, + "parallel_slots": 16, + "config": { + "exe": "strata-212-stocktab-f83fd81691a5b053", + "args": [ + "--pack", + "unsloth-ud-iq4_xs", + "--native", + "Qwen3.8-Flash-Next-UD-IQ4_XS-00001-of-00003.gguf", + "--expert-profile", + "expert-profile.bin", + "--expert-cache", + "auto", + "--prefill", + "512", + "--spec", + "4", + "--spec-min-p", + "0.5", + "--mtp", + "rt", + "--max-context", + "262144", + "--kv", + "int8", + "--resident-experts", + "--trim-stage-weights", + "--ple-io", + "ram", + "--aux-cpus", + "65-127", + "--conversation-cache-mib", + "126976", + "--conversation-cache-slots", + "448", + "--kv-resident", + "28672", + "--conversation-cache-min-free-mib", + "16384", + "--conversation-cache-min-tokens", + "1024", + "--vision", + "--prompt-cache-every", + "8192", + "--prompt-cache", + "12" + ], + "model_name": "qwen3.8-flash-next-unsloth-ud-iq4_xs", + "lib_dirs": [ + "/usr/local/cuda-13.0/bin", + "/usr/local/cuda-13.0/lib64" + ], + "port": 8091, + "gpu": [ + 0, + 1, + 2, + 3 + ], + "gpus_asked": true, + "layer_split": "12,25,37", + "open_browser": false, + "parallel": 16, + "vision": { + "exe": "/strata-vision-cpu", + "mmproj": "", + "model": "", + "gpu": false, + "threads": 32, + "max_tokens": 1024 + }, + "tool_call_recovery": false, + "sampling": { + "presence_penalty": 0 + }, + "drafting": "mtp", + "env": { + "STRATA_MMQ_DIRECT": "1", + "STRATA_SLOT_COPY_DIRECT": "1", + "STRATA_PIPE_BYIELD_NODRAIN": "1", + "STRATA_ADMIT_MERGE_FIRST": "1", + "STRATA_CKPT_POOL": "1", + "STRATA_CKPT_THREADS": "1", + "STRATA_SLOT_CKPT_MOVE": "1", + "STRATA_SLOT_COPY_BATCHSYNC": "1", + "STRATA_SPLIT_MTP_BATCH": "1", + "STRATA_MMQ_GROUP_SORT": "1", + "STRATA_BATCH_SELF_COMMIT": "1", + "STRATA_NAN_GUARD": "0", + "STRATA_QSA_SLOTS": "1", + "STRATA_HANDOFF_PIPE": "8", + "STRATA_KV_PREFETCH": "1", + "STRATA_GR_FAST": "1", + "STRATA_GR_NORM_FAST": "1", + "STRATA_MMVF_ROWS": "1", + "STRATA_GDN_TC": "0", + "STRATA_GDN_CONVL2": "0", + "STRATA_PROMPT_ATTN_IMMA": "0", + "STRATA_AUTO_NOBORROW": "0", + "STRATA_PF_W16_CACHE_MIB": "0", + "STRATA_MMQ_KQ": "0", + "STRATA_BATCH_GDN_GROUPS": "1", + "STRATA_BATCH_ATTN_ROWS": "1", + "STRATA_CKPT_POOL_READY": "4" + } + }, + "launch": "strata-212-stocktab-f83fd81691a5b053 --pack unsloth-ud-iq4_xs --native Qwen3.8-Flash-Next-UD-IQ4_XS-00001-of-00003.gguf --expert-profile expert-profile.bin --expert-cache auto --prefill 512 --spec 4 --spec-min-p 0.5 --mtp rt --max-context 262144 --kv int8 --resident-experts --trim-stage-weights --ple-io ram --aux-cpus 65-127 --conversation-cache-mib 126976 --conversation-cache-slots 448 --kv-resident 28672 --conversation-cache-min-free-mib 16384 --conversation-cache-min-tokens 1024 --vision --prompt-cache-every 8192 --prompt-cache 12", + "engine_info": { + "model": "qwen3.8-flash-next-unsloth-ud-iq4_xs", + "max_context": 262144, + "images": true, + "version": "0.1.58", + "logit_bias": 1, + "context": 262144, + "kv": "int8", + "kv_resident": 28672, + "expert_slots": 24576, + "expert_cache_mib": 56767, + "expert_slots_primary": 6144, + 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7.4184536398388445, + 7.423248057952151, + 7.428018206963316, + 7.433921464020386 + ], + "errors": [], + "error_count": 0 + }, + { + "round": 2, + "wall_s": 7.44, + "tokens": 2048, + "total_tps": 275.3, + "first_s": [ + 0.2571627269499004, + 0.5527686558198184, + 0.8251576439943165, + 1.0965196839533746, + 1.3511177389882505, + 1.6120031559839845, + 1.889571598963812, + 2.1805059311445802, + 2.46253629704006, + 2.755555332871154, + 3.054716900922358, + 3.3496491180267185, + 3.6237546941265464, + 3.9064125900622457, + 4.201733845053241, + 4.505002739839256 + ], + "latency_s": [ + 7.33077515498735, + 7.3597018318250775, + 7.365408298093826, + 7.371729273814708, + 7.376284891040996, + 7.380603862926364, + 7.387825693935156, + 7.3904399001039565, + 7.398025736911222, + 7.401085438905284, + 7.407717179972678, + 7.414526394102722, + 7.419201862998307, + 7.423434944124892, + 7.427735957084224, + 7.434884906979278 + ], + "errors": [], + "error_count": 0 + } + ], + "total_tps": { + "median": 275.3, + "min": 247.83, + "max": 275.31, + "n": 3 + }, + "ttft_p50_s": 2.468, + "ttft_p95_s": 4.609, + "latency_p50_s": 7.416, + "latency_p95_s": 8.245, + "errors": 0 + }, + "skipped": {}, + "failures": [] + } +} \ No newline at end of file diff --git a/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/strata_bench/PT/README.md b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/strata_bench/PT/README.md new file mode 100644 index 00000000000..1937a47cdf5 --- /dev/null +++ b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/strata_bench/PT/README.md @@ -0,0 +1,71 @@ +# Community benchmark on NVIDIA GeForce RTX 3090 + NVIDIA GeForce RTX 3090 + NVIDIA GeForce RTX 3090 + NVIDIA GeForce RTX 3090 + +Measured on 2026-11-08 with `tools/strata_bench.py` (suite 1, 3 runs per test, medians with ranges). Speeds are the engine's own timings; first-token times are measured by the client over HTTP. Speed only: no correctness check was run. + +## Hardware and software + +- GPU and VRAM: NVIDIA GeForce RTX 3090 + NVIDIA GeForce RTX 3090 + NVIDIA GeForce RTX 3090 + NVIDIA GeForce RTX 3090, 96 GiB VRAM +- CPU: AMD Ryzen Threadripper 3990X 64-Core Processor (64 cores, 128 threads); installed RAM: 251.5 GiB; storage: sda Samsung SSD 860 EVO 500GB sata; nvme1n1 CT1000P310SSD8 nvme; nvme2n1 CT1000P310SSD8 nvme; nvme0n1 CT1000P310SSD8 nvme +- OS: Linux 7.0.0-38-generic; GPU driver: 580.196.07; CUDA (driver supports up to): 13.0 +- Strata: project 0.1.58, commit a099d295; engine 0.1.58 +- GPU detail (after the run, near idle): power_limit_w=320.00, power_draw_w=293.07, pcie=gen3 x16, pstate=P2, temp_c=70 +- GPU detail (after the run, near idle): power_limit_w=320.00, power_draw_w=289.43, pcie=gen3 x16, pstate=P2, temp_c=71 +- GPU detail (after the run, near idle): power_limit_w=320.00, power_draw_w=292.30, pcie=gen4 x8, pstate=P2, temp_c=65 +- GPU detail (after the run, near idle): power_limit_w=320.00, power_draw_w=294.16, pcie=gen4 x8, pstate=P2, temp_c=72 +- Background workloads: not recorded (GPU power limit/draw read above) + +## Model and configuration + +- Model and quantization: qwen3.8-flash-next-unsloth-ud-iq4_xs +- Context: 262144 tokens; parallel slots: 16 +- Settings: the install's own configuration, unchanged; thinking off for the suite; temperature 0 + +```text +strata-212p-74702164d1e5e37d --pack unsloth-ud-iq4_xs --native Qwen3.8-Flash-Next-UD-IQ4_XS-00001-of-00003.gguf --expert-profile expert-profile.bin --expert-cache auto --prefill 512 --spec 4 --spec-min-p 0.5 --mtp rt --max-context 262144 --kv int8 --resident-experts --trim-stage-weights --ple-io ram --aux-cpus 65-127 --conversation-cache-mib 126976 --conversation-cache-slots 448 --kv-resident 28672 --conversation-cache-min-free-mib 16384 --conversation-cache-min-tokens 1024 --vision --prompt-cache-every 8192 --prompt-cache 12 +``` + +Environment of the config: `STRATA_MMQ_DIRECT=1`, `STRATA_SLOT_COPY_DIRECT=1`, `STRATA_PIPE_BYIELD_NODRAIN=1`, `STRATA_ADMIT_MERGE_FIRST=1`, `STRATA_CKPT_POOL=1`, `STRATA_CKPT_THREADS=1`, `STRATA_SLOT_CKPT_MOVE=1`, `STRATA_SLOT_COPY_BATCHSYNC=1`, `STRATA_SPLIT_MTP_BATCH=1`, `STRATA_MMQ_GROUP_SORT=1`, `STRATA_BATCH_SELF_COMMIT=1`, `STRATA_NAN_GUARD=0`, `STRATA_QSA_SLOTS=1`, `STRATA_HANDOFF_PIPE=8`, `STRATA_SLOT_PARK=1`, `STRATA_CONV_TIER_DIR=PT`, `STRATA_KV_PREFETCH=1`, `STRATA_CONV_TIER_WARM=1`, `STRATA_CONV_TIER_WRITE_GB_DAY=1000`, `STRATA_MROPE_SLOTS=1`, `STRATA_SLOT_CHAIN_REUSE=1`, `STRATA_GIVEBACK_CHECKS=1`, `STRATA_MSG_CKPT_TAIL=8192`, `STRATA_QSA_SLOTS_STREAM=1`, `STRATA_GR_FAST=1`, `STRATA_GR_DOWN_PF=2`, `STRATA_GR_NORM_FAST=1`, `STRATA_EARLY_SAMPLE=1`, `STRATA_MMVF_ROWS=1`, `STRATA_CONV_TIER_CAP_GB=500`, `STRATA_PARK_BORROW=1`, `STRATA_CONV_MMAP=1`, `STRATA_GATE_EVICT=1`, `STRATA_PARK_CAPTURE=1`, `STRATA_SERVE_STOP_BOUND=1`, `STRATA_GDN_TC=0`, `STRATA_GDN_CONVL2=0`, `STRATA_PROMPT_ATTN_IMMA=0`, `STRATA_AUTO_NOBORROW=0`, `STRATA_PF_W16_CACHE_MIB=0`, `STRATA_MMQ_KQ=0`, `STRATA_BATCH_GDN_GROUPS=1`, `STRATA_BATCH_ATTN_ROWS=1`, `STRATA_CKPT_POOL_READY=4`, `STRATA_ATTN_DAILY=0`, `STRATA_PIPE_OVERLAP=1`, `STRATA_PIPE_OVERLAP_KVS=1`, `STRATA_SPEC_LANES=4`, `STRATA_SOLO_PIPELINE=1`, `STRATA_READ_YIELD=1` + +## Method + +Run by `python tools/strata_bench.py --clients 16 --long` against the HTTP API of a Strata server (already running); model loading is not timed. One warm-up chat and a 1K prompt are discarded first. Every prompt starts with a unique tag, so the conversation cache cannot help the fresh-prompt tests. + +- short chat: the three questions of `tools/ab_engine.py`, up to 100 new tokens, 3 runs +- 4K / 16K prompts: generated word lists sized by a calibration request, 24 new tokens, 3 fresh prompts each +- agent session: system prompt and four tools, then 5 turns that each add about 1500 words of a project file and continue from the model's own earlier answers (the way agent clients resend a conversation), 64 new tokens per turn, 3 sessions; the cache numbers come from the answer's usage (`cached_tokens`) and timings (`prompt_n`) +- concurrency (when run): N requests sent at the same moment, total tokens over the wall time of the burst, latency over all requests + +## Results + +| Configuration | Actual prompt tokens | Reused tokens | Generated tokens | Runs | Prompt tok/s median and range | Decode tok/s median and range | TTFT seconds median and range | +| --- | ---: | ---: | ---: | ---: | --- | --- | --- | +| short chat | 46 (43-51) | 0 | 100 (100-100) | 9 | not measured | 139.9 (121.8-222.8) | 0.19 (0.17-0.25) | +| 4K prompt, fresh | 4019 (4019-4019) | 0 (0-0) | 24 cap | 3 | 5401.2 (5389.6-5707.2) | not measured | 0.76 (0.72-0.77) | +| 16K prompt, fresh | 16058 (16058-16058) | 0 (0-0) | 24 cap | 3 | 6743.4 (6725.9-6865.0) | not measured | 2.41 (2.37-2.42) | +| 32K prompt, fresh | 32049 (32049-32049) | 0 (0-0) | 24 cap | 3 | 6895.4 (6855.1-7089.1) | not measured | 4.69 (4.56-4.72) | +| agent session, follow-up turns | 13602 (13576-13605) at the last turn | see below | up to 64 | 3 | see below | 147.0 (129.0-181.8) | 0.78 (0.55-0.92) | + +Ranges are the lowest and highest of the runs; `Runs` counts requests that returned a token. + +### Agent session (conversation cache) + +Cache hit over the follow-up turns: 69.9 % (69.9-69.9); earlier-turn tokens read again per session: 5 (5-5) (earlier turns that the cache did not hold; the 12726 (12725-12726) new tokens of the files are read once); first turn (nothing cached) first token: 0.58 s (0.46-0.60). + +| Turn (run 1) | Prompt tokens | Reused | Read | Prompt tok/s | First token (s) | Decode tok/s | +| ---: | ---: | ---: | ---: | ---: | ---: | ---: | +| 0 | 609 | 0 | 609 | 1380.6 | 0.458 | 114.8 | +| 1 | 3841 | 636 | 3205 | 4229.9 | 0.783 | 148.0 | +| 2 | 5374 | 3904 | 1470 | 2785.1 | 0.55 | 147.0 | +| 3 | 8618 | 5437 | 3181 | 3750.3 | 0.873 | 129.9 | +| 4 | 10827 | 8663 | 2164 | 2890.3 | 0.774 | 144.1 | +| 5 | 13576 | 10866 | 2710 | 3030.3 | 0.919 | 181.8 | + +### Concurrency: 16 clients + +Total 266.9 tok/s (253.3-267.7); first token p50 2.589 s, p95 4.729 s; request latency p50 7.638 s, p95 8.065 s; errors 0. Server parallel slots: 16 (requests beyond that wait their turn). + +Per-request data: `results.json`. Engine log lines from the start: `engine-log-excerpt.txt` (when this run started the server). + +## Correctness and limitations + +Not measured: this is a speed suite. The conversation uses the model's own replies, so token counts differ a little between runs. Machine details come from the server, `nvidia-smi`/`rocm-smi` and the OS; background load is not recorded. Total time of the suite: 78 s. diff --git a/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/strata_bench/PT/results.json b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/strata_bench/PT/results.json new file mode 100644 index 00000000000..905f38de132 --- /dev/null +++ b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/strata_bench/PT/results.json @@ -0,0 +1,1277 @@ +{ + "schema": 1, + "tool": "tools/strata_bench.py", + "date": "2026-11-08", + "params": { + "runs": 3, + "think": false, + "clients": 16, + "long": true, + "started_server": false, + "command": "python tools/strata_bench.py --clients 16 --long" + }, + "elapsed_s": 77.52412676811218, + "machine": { + "gpu": [ + "NVIDIA GeForce RTX 3090", + "NVIDIA GeForce RTX 3090", + "NVIDIA GeForce RTX 3090", + "NVIDIA GeForce RTX 3090" + ], + "gpu_vram_mib": 98304, + "gpu_driver": "580.196.07", + "gpu_detail": [ + { + "power_limit_w": "320.00", + "power_draw_w": "293.07", + "pcie": "gen3 x16", + "pstate": "P2", + "temp_c": "70" + }, + { + "power_limit_w": "320.00", + "power_draw_w": "289.43", + "pcie": "gen3 x16", + "pstate": "P2", + "temp_c": "71" + }, + { + "power_limit_w": "320.00", + "power_draw_w": "292.30", + "pcie": "gen4 x8", + "pstate": "P2", + "temp_c": "65" + }, + { + "power_limit_w": "320.00", + "power_draw_w": "294.16", + "pcie": "gen4 x8", + "pstate": "P2", + "temp_c": "72" + } + ], + "cuda": "13.0", + "engine_build": null, + "cpu": "AMD Ryzen Threadripper 3990X 64-Core Processor", + "cpu_cores": 64, + "storage": "sda Samsung SSD 860 EVO 500GB sata; nvme1n1 CT1000P310SSD8 nvme; nvme2n1 CT1000P310SSD8 nvme; nvme0n1 CT1000P310SSD8 nvme", + "cpu_threads": 128, + "ram_gib": 251.5, + "os": "Linux 7.0.0-38-generic", + "python": "3.12.3", + "strata_version": "0.1.58", + "strata_commit": "a099d295", + "engine_version": "0.1.58", + "model": "qwen3.8-flash-next-unsloth-ud-iq4_xs", + "quant": "UD-IQ4_XS", + "context": 262144, + "parallel_slots": 16, + "config": { + "exe": "strata-212p-74702164d1e5e37d", + "args": [ + "--pack", + "unsloth-ud-iq4_xs", + "--native", + "Qwen3.8-Flash-Next-UD-IQ4_XS-00001-of-00003.gguf", + "--expert-profile", + "expert-profile.bin", + "--expert-cache", + "auto", + "--prefill", + "512", + "--spec", + "4", + "--spec-min-p", + "0.5", + "--mtp", + "rt", + "--max-context", + "262144", + "--kv", + "int8", + "--resident-experts", + "--trim-stage-weights", + "--ple-io", + "ram", + "--aux-cpus", + "65-127", + "--conversation-cache-mib", + "126976", + "--conversation-cache-slots", + "448", + "--kv-resident", + "28672", + "--conversation-cache-min-free-mib", + "16384", + "--conversation-cache-min-tokens", + "1024", + "--vision", + "--prompt-cache-every", + "8192", + "--prompt-cache", + "12" + ], + "model_name": "qwen3.8-flash-next-unsloth-ud-iq4_xs", + "lib_dirs": [ + "/usr/local/cuda-13.0/bin", + "/usr/local/cuda-13.0/lib64" + ], + "port": 8091, + "gpu": [ + 0, + 1, + 2, + 3 + ], + "gpus_asked": true, + "layer_split": "12,25,37", + "open_browser": false, + "parallel": 16, + "vision": { + "exe": "/strata-vision-cpu", + "mmproj": "", + "model": "", + "gpu": false, + "threads": 32, + "max_tokens": 1024 + }, + "tool_call_recovery": false, + "sampling": { + "presence_penalty": 0 + }, + "drafting": "mtp", + "env": { + "STRATA_MMQ_DIRECT": "1", + "STRATA_SLOT_COPY_DIRECT": "1", + "STRATA_PIPE_BYIELD_NODRAIN": "1", + "STRATA_ADMIT_MERGE_FIRST": "1", + "STRATA_CKPT_POOL": "1", + "STRATA_CKPT_THREADS": "1", + "STRATA_SLOT_CKPT_MOVE": "1", + "STRATA_SLOT_COPY_BATCHSYNC": "1", + "STRATA_SPLIT_MTP_BATCH": "1", + "STRATA_MMQ_GROUP_SORT": "1", + "STRATA_BATCH_SELF_COMMIT": "1", + "STRATA_NAN_GUARD": "0", + "STRATA_QSA_SLOTS": "1", + "STRATA_HANDOFF_PIPE": "8", + "STRATA_SLOT_PARK": "1", + "STRATA_CONV_TIER_DIR": "PT", + "STRATA_KV_PREFETCH": "1", + "STRATA_CONV_TIER_WARM": "1", + "STRATA_CONV_TIER_WRITE_GB_DAY": "1000", + "STRATA_MROPE_SLOTS": "1", + "STRATA_SLOT_CHAIN_REUSE": "1", + "STRATA_GIVEBACK_CHECKS": "1", + "STRATA_MSG_CKPT_TAIL": "8192", + "STRATA_QSA_SLOTS_STREAM": "1", + "STRATA_GR_FAST": "1", + "STRATA_GR_DOWN_PF": "2", + "STRATA_GR_NORM_FAST": "1", + "STRATA_EARLY_SAMPLE": "1", + "STRATA_MMVF_ROWS": "1", + "STRATA_CONV_TIER_CAP_GB": "500", + "STRATA_PARK_BORROW": "1", + "STRATA_CONV_MMAP": "1", + "STRATA_GATE_EVICT": "1", + "STRATA_PARK_CAPTURE": "1", + "STRATA_SERVE_STOP_BOUND": "1", + "STRATA_GDN_TC": "0", + "STRATA_GDN_CONVL2": "0", + "STRATA_PROMPT_ATTN_IMMA": "0", + "STRATA_AUTO_NOBORROW": "0", + "STRATA_PF_W16_CACHE_MIB": "0", + "STRATA_MMQ_KQ": "0", + "STRATA_BATCH_GDN_GROUPS": "1", + "STRATA_BATCH_ATTN_ROWS": "1", + "STRATA_CKPT_POOL_READY": "4", + "STRATA_ATTN_DAILY": "0", + "STRATA_PIPE_OVERLAP": "1", + "STRATA_PIPE_OVERLAP_KVS": "1", + "STRATA_SPEC_LANES": "4", + "STRATA_SOLO_PIPELINE": "1", + "STRATA_READ_YIELD": "1" + } + }, + "launch": "strata-212p-74702164d1e5e37d --pack unsloth-ud-iq4_xs --native Qwen3.8-Flash-Next-UD-IQ4_XS-00001-of-00003.gguf --expert-profile expert-profile.bin --expert-cache auto --prefill 512 --spec 4 --spec-min-p 0.5 --mtp rt --max-context 262144 --kv int8 --resident-experts --trim-stage-weights --ple-io ram --aux-cpus 65-127 --conversation-cache-mib 126976 --conversation-cache-slots 448 --kv-resident 28672 --conversation-cache-min-free-mib 16384 --conversation-cache-min-tokens 1024 --vision --prompt-cache-every 8192 --prompt-cache 12", + "engine_info": { + "model": "qwen3.8-flash-next-unsloth-ud-iq4_xs", + "max_context": 262144, + "images": true, + "version": "0.1.58", + "spec_lanes": 4, + "lane_slots": "0,4,8,12", + "logit_bias": 1, + "context": 262144, + "kv": "int8", + "kv_resident": 28672, + "expert_slots": 24576, + "expert_cache_mib": 56767, + "expert_slots_primary": 6144, + "expert_cache_primary_mib": 14614, + "spec": 6, + "mtp_max": 4, + "lookup": 3, + "vram_free_mib": 1028, + "cvec": 0, + "arena_mib": 0, + "pool_workers": 32, + "pcie_frac": "0.10", + "spec_min_p": "0.50", + "conversation_cache_mib": 126976, + 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7.65, + "tokens": 2048, + "total_tps": 267.7, + "first_s": [ + 0.2946945899166167, + 0.6126044259872288, + 0.8998977430164814, + 1.1857718881219625, + 1.488159165950492, + 1.759167374111712, + 2.0374392620287836, + 2.338429387193173, + 2.613326168851927, + 2.915160627802834, + 3.216106261825189, + 3.5156364019494504, + 3.818996385904029, + 4.123966845916584, + 4.41373988497071, + 4.714919753139839 + ], + "latency_s": [ + 7.3307856018655, + 7.452553428942338, + 7.526675216155127, + 7.580923475092277, + 7.58636978501454, + 7.592927403980866, + 7.597645831061527, + 7.604722359217703, + 7.608388888882473, + 7.617042402969673, + 7.61856896802783, + 7.623224664945155, + 7.628890729043633, + 7.6353062249254435, + 7.640395279042423, + 7.644480166956782 + ], + "errors": [], + "error_count": 0 + } + ], + "total_tps": { + "median": 266.94, + "min": 253.35, + "max": 267.7, + "n": 3 + }, + "ttft_p50_s": 2.589, + "ttft_p95_s": 4.729, + "latency_p50_s": 7.638, + "latency_p95_s": 8.065, + "errors": 0 + }, + "skipped": {}, + "failures": [] + } +} \ No newline at end of file diff --git a/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/strata_bench/S/README.md b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/strata_bench/S/README.md new file mode 100644 index 00000000000..d6c9e14b825 --- /dev/null +++ b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/strata_bench/S/README.md @@ -0,0 +1,71 @@ +# Community benchmark on NVIDIA GeForce RTX 3090 + NVIDIA GeForce RTX 3090 + NVIDIA GeForce RTX 3090 + NVIDIA GeForce RTX 3090 + +Measured on 2026-11-08 with `tools/strata_bench.py` (suite 1, 3 runs per test, medians with ranges). Speeds are the engine's own timings; first-token times are measured by the client over HTTP. Speed only: no correctness check was run. + +## Hardware and software + +- GPU and VRAM: NVIDIA GeForce RTX 3090 + NVIDIA GeForce RTX 3090 + NVIDIA GeForce RTX 3090 + NVIDIA GeForce RTX 3090, 96 GiB VRAM +- CPU: AMD Ryzen Threadripper 3990X 64-Core Processor (64 cores, 128 threads); installed RAM: 251.5 GiB; storage: sda Samsung SSD 860 EVO 500GB sata; nvme1n1 CT1000P310SSD8 nvme; nvme2n1 CT1000P310SSD8 nvme; nvme0n1 CT1000P310SSD8 nvme +- OS: Linux 7.0.0-38-generic; GPU driver: 580.196.07; CUDA (driver supports up to): 13.0 +- Strata: project 0.1.58, commit 146df3c4; engine 0.1.58 +- GPU detail (after the run, near idle): power_limit_w=320.00, power_draw_w=131.62, pcie=gen3 x16, pstate=P2, temp_c=61 +- GPU detail (after the run, near idle): power_limit_w=320.00, power_draw_w=138.50, pcie=gen3 x16, pstate=P2, temp_c=61 +- GPU detail (after the run, near idle): power_limit_w=320.00, power_draw_w=139.41, pcie=gen4 x8, pstate=P2, temp_c=54 +- GPU detail (after the run, near idle): power_limit_w=320.00, power_draw_w=211.99, pcie=gen4 x8, pstate=P2, temp_c=64 +- Background workloads: not recorded (GPU power limit/draw read above) + +## Model and configuration + +- Model and quantization: qwen3.8-flash-next-unsloth-ud-iq4_xs +- Context: 131072 tokens; parallel slots: 3 +- Settings: the install's own configuration, unchanged; thinking off for the suite; temperature 0 + +```text +strata-212-stocktab-f83fd81691a5b053 --pack unsloth-ud-iq4_xs --native Qwen3.8-Flash-Next-UD-IQ4_XS-00001-of-00003.gguf --expert-profile expert-profile.bin --expert-cache auto --prefill auto --spec 4 --spec-min-p 0.5 --mtp rt --max-context 131072 --kv int8 --ple-io ram --kv-resident 32768 +``` + +Environment of the config: `STRATA_HC_Q8=1`, `STRATA_ROUTE_TAIL_SKIP=0` + +## Method + +Run by `python tools/strata_bench.py --clients 16 --long` against the HTTP API of a Strata server (already running); model loading is not timed. One warm-up chat and a 1K prompt are discarded first. Every prompt starts with a unique tag, so the conversation cache cannot help the fresh-prompt tests. + +- short chat: the three questions of `tools/ab_engine.py`, up to 100 new tokens, 3 runs +- 4K / 16K prompts: generated word lists sized by a calibration request, 24 new tokens, 3 fresh prompts each +- agent session: system prompt and four tools, then 5 turns that each add about 1500 words of a project file and continue from the model's own earlier answers (the way agent clients resend a conversation), 64 new tokens per turn, 3 sessions; the cache numbers come from the answer's usage (`cached_tokens`) and timings (`prompt_n`) +- concurrency (when run): N requests sent at the same moment, total tokens over the wall time of the burst, latency over all requests + +## Results + +| Configuration | Actual prompt tokens | Reused tokens | Generated tokens | Runs | Prompt tok/s median and range | Decode tok/s median and range | TTFT seconds median and range | +| --- | ---: | ---: | ---: | ---: | --- | --- | --- | +| short chat | 46 (43-51) | 0 | 100 (100-100) | 9 | not measured | 134.5 (113.6-179.0) | 0.23 (0.20-0.30) | +| 4K prompt, fresh | 4019 (4019-4019) | 0 (0-0) | 24 cap | 3 | 2081.4 (2016.0-2085.0) | not measured | 1.95 (1.95-2.01) | +| 16K prompt, fresh | 16058 (16058-16058) | 0 (0-0) | 24 cap | 3 | 3212.6 (3203.2-3253.8) | not measured | 5.02 (4.96-5.04) | +| 32K prompt, fresh | 32049 (32049-32049) | 0 (0-0) | 24 cap | 3 | 4577.0 (4551.6-4611.0) | not measured | 7.04 (6.99-7.08) | +| agent session, follow-up turns | 13603 (13559-13614) at the last turn | see below | up to 64 | 3 | see below | 153.3 (125.8-167.8) | 1.62 (1.04-1.93) | + +Ranges are the lowest and highest of the runs; `Runs` counts requests that returned a token. + +### Agent session (conversation cache) + +Cache hit over the follow-up turns: 69.6 % (69.5-69.9); earlier-turn tokens read again per session: 143 (4-144) (earlier turns that the cache did not hold; the 12725 (12723-12726) new tokens of the files are read once); first turn (nothing cached) first token: 0.80 s (0.75-0.94). + +| Turn (run 1) | Prompt tokens | Reused | Read | Prompt tok/s | First token (s) | Decode tok/s | +| ---: | ---: | ---: | ---: | ---: | ---: | ---: | +| 0 | 609 | 0 | 609 | 827.1 | 0.751 | 140.7 | +| 1 | 3841 | 638 | 3203 | 1849.5 | 1.755 | 156.6 | +| 2 | 5374 | 3834 | 1540 | 1345.1 | 1.164 | 146.6 | +| 3 | 8618 | 5438 | 3180 | 1822.7 | 1.768 | 155.8 | +| 4 | 10840 | 8676 | 2164 | 1575.7 | 1.395 | 150.7 | +| 5 | 13614 | 10833 | 2781 | 1458.8 | 1.928 | 167.8 | + +### Concurrency: 16 clients + +Total 160.7 tok/s (158.1-161.5); first token p50 5.465 s, p95 11.224 s; request latency p50 7.187 s, p95 12.464 s; errors 0. Server parallel slots: 3 (requests beyond that wait their turn). + +Per-request data: `results.json`. Engine log lines from the start: `engine-log-excerpt.txt` (when this run started the server). + +## Correctness and limitations + +Not measured: this is a speed suite. The conversation uses the model's own replies, so token counts differ a little between runs. Machine details come from the server, `nvidia-smi`/`rocm-smi` and the OS; background load is not recorded. Total time of the suite: 125 s. diff --git a/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/strata_bench/S/results.json b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/strata_bench/S/results.json new file mode 100644 index 00000000000..85f8d2627ad --- /dev/null +++ b/bench/results/2026-11-08-community-4x-rtx-3090-multiuser/strata_bench/S/results.json @@ -0,0 +1,1204 @@ +{ + "schema": 1, + "tool": "tools/strata_bench.py", + "date": "2026-11-08", + "params": { + "runs": 3, + "think": false, + "clients": 16, + "long": true, + "started_server": false, + "command": "python tools/strata_bench.py --clients 16 --long" + }, + "elapsed_s": 125.03053641319275, + "machine": { + "gpu": [ + "NVIDIA GeForce RTX 3090", + "NVIDIA GeForce RTX 3090", + "NVIDIA GeForce RTX 3090", + "NVIDIA GeForce RTX 3090" + ], + "gpu_vram_mib": 98304, + "gpu_driver": "580.196.07", + "gpu_detail": [ + { + "power_limit_w": "320.00", + "power_draw_w": "131.62", + "pcie": "gen3 x16", + "pstate": "P2", + "temp_c": "61" + }, + { + "power_limit_w": "320.00", + "power_draw_w": "138.50", + "pcie": "gen3 x16", + "pstate": "P2", + "temp_c": "61" + }, + { + "power_limit_w": "320.00", + "power_draw_w": "139.41", + "pcie": "gen4 x8", + "pstate": "P2", + "temp_c": "54" + }, + { + "power_limit_w": "320.00", + "power_draw_w": "211.99", + "pcie": "gen4 x8", + "pstate": "P2", + "temp_c": "64" + } + ], + "cuda": "13.0", + "engine_build": null, + "cpu": "AMD Ryzen Threadripper 3990X 64-Core Processor", + "cpu_cores": 64, + "storage": "sda Samsung SSD 860 EVO 500GB sata; nvme1n1 CT1000P310SSD8 nvme; nvme2n1 CT1000P310SSD8 nvme; nvme0n1 CT1000P310SSD8 nvme", + "cpu_threads": 128, + "ram_gib": 251.5, + "os": "Linux 7.0.0-38-generic", + "python": "3.12.3", + "strata_version": "0.1.58", + "strata_commit": "146df3c4", + "engine_version": "0.1.58", + "model": "qwen3.8-flash-next-unsloth-ud-iq4_xs", + "quant": "UD-IQ4_XS", + "context": 131072, + "parallel_slots": 3, + "config": { + "exe": "strata-212-stocktab-f83fd81691a5b053", + "args": [ + "--pack", + "unsloth-ud-iq4_xs", + "--native", + "Qwen3.8-Flash-Next-UD-IQ4_XS-00001-of-00003.gguf", + "--expert-profile", + "expert-profile.bin", + "--expert-cache", + "auto", + "--prefill", + "auto", + "--spec", + "4", + "--spec-min-p", + "0.5", + "--mtp", + "rt", + "--max-context", + "131072", + "--kv", + "int8", + "--ple-io", + "ram", + "--kv-resident", + "32768" + ], + "model_name": "qwen3.8-flash-next-unsloth-ud-iq4_xs", + "lib_dirs": [ + "/usr/local/cuda-13.0/bin", + "/usr/local/cuda-13.0/lib64" + ], + "port": 8091, + "gpu": [ + 0, + 1, + 2, + 3 + ], + "gpus_asked": true, + "layer_split": "auto", + "gpu_order": "as_given", + "gpu_roles": { + "0": "helper", + "1": "helper", + "2": "helper", + "3": "main" + }, + "open_browser": false, + "parallel": 3, + "sampling": { + "presence_penalty": 0 + }, + "env": { + "STRATA_HC_Q8": "1", + "STRATA_ROUTE_TAIL_SKIP": "0" + } + }, + "launch": "strata-212-stocktab-f83fd81691a5b053 --pack unsloth-ud-iq4_xs --native Qwen3.8-Flash-Next-UD-IQ4_XS-00001-of-00003.gguf --expert-profile expert-profile.bin --expert-cache auto --prefill auto --spec 4 --spec-min-p 0.5 --mtp rt --max-context 131072 --kv int8 --ple-io ram --kv-resident 32768", + "engine_info": { + "model": "qwen3.8-flash-next-unsloth-ud-iq4_xs", + "max_context": 131072, + "images": false, + "version": "0.1.58", + "logit_bias": 1, + "context": 131072, + "kv": "int8", + "kv_resident": 32768, + "expert_slots": 24576, + "expert_cache_mib": 56762, + "expert_slots_primary": 6144, + "expert_cache_primary_mib": 14612, + "spec": 6, + "mtp_max": 4, + "lookup": 3, + "vram_free_mib": 2317, + "cvec": 0, + "arena_mib": 56762, + "pool_workers": 32, + "pcie_frac": "0.10", + "spec_min_p": "0.50", + "conversation_cache_mib": 8192, + "conversation_cache_slots": 4, + "conversation_cache_min_free_mib": 2560, + "conversation_cache_min_tokens": 0, + "tail_role_token": -1, + "vram_elastic": 0, + "prefill_cap": 8192, + "prefill_stages": 4, 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new file mode 100644 index 00000000000..963f4f26ef2 --- /dev/null +++ b/bench/results/2026-11-08-standard-4x-rtx-3090-45387cb6/README.md @@ -0,0 +1,79 @@ +# Strata standard benchmark: NVIDIA GeForce RTX 3090, NVIDIA GeForce RTX 3090, NVIDIA GeForce RTX 3090, NVIDIA GeForce RTX 3090 + +Protocol `strata-qwen38-thinking-v1-draft.1` (draft), run `20261108T171117Z-45387cb6`, started 2026-11-08T17:11:17Z. **Status: complete.** + +Written by `strata bench run`. The machine-readable result is [results.json](results.json); every request, its raw usage and timings and the client event offsets are in [outputs.jsonl](outputs.jsonl). + +## Hardware and software + +- GPU: NVIDIA GeForce RTX 3090 (24.0 GiB dedicated); NVIDIA GeForce RTX 3090 (24.0 GiB dedicated); NVIDIA GeForce RTX 3090 (24.0 GiB dedicated); NVIDIA GeForce RTX 3090 (24.0 GiB dedicated) +- CPU: AMD Ryzen Threadripper 3990X 64-Core Processor; RAM: 251.5 GiB +- Storage of the model files: nvme CT1000P310SSD8 (nvme) +- OS: Ubuntu 24.04.5 LTS 7.0.0-38-generic; drivers: gpu-driver 580.196.07; runtime: cuda 13.0 +- Strata commit: `a099d2953b6b70084d92da0f3ac7b015719a4d5e`; engine 0.1.58; source build +- Background work: not measured + +## Model and configuration + +- Model: qwen3.8-flash-next-unsloth-ud-iq4_xs; quantization UD-IQ4_XS; revision not measured; source revision not measured +- Files: `Qwen3.8-Flash-Next-UD-IQ4_XS-00001-of-00003.gguf` `5ce89370720f8bf9...`; `Qwen3.8-Flash-Next-UD-IQ4_XS-00002-of-00003.gguf` `577a38a2392b40ca...`; `Qwen3.8-Flash-Next-UD-IQ4_XS-00003-of-00003.gguf` `d4634e6d84f0ebb0...`; `expert-profile.bin` `8f59b4aa8873209d...` +- Track: **custom** (PT-r2: Strata-212p@a099d295, engine strata-212p-74702164d1e5e37d, CUDA 13.0 source build (STRATA_MMQ_TAB=ON), 4x RTX 3090 320 W, layer split over 4 cards; v0.2.12 + our series (havok2-htwo) + P9-P11 + upstream's sm_86 table, 16 slots, 262K, int8 KV, MTP, bit-changing defaults pinned to 0 (exact); server env: [STRATA_ADMIT_BY_NEW=1 STRATA_YIELD_SHORT=2048 STRATA_YIELDS_MAX=4 STRATA_ADMIT_SHORT_FIRST=8192 STRATA_PREFIX_DIAG=1]) +- Context 262144 tokens; server capacity 16 slot(s) +- Sampling: temperature 1.0, top_p 0.95, top_k 20, min_p 0.0, presence_penalty 0.0, repetition_penalty 1.0, reasoning_effort xhigh; thinking on, preserved +- Engine options: `config.json`; chat template: `provenance/chat_template.jinja` + +## Method + +The frozen requests of `bench/prompts/standard-v1` (corpus `e75eff8b9feea04f...`) were sent over loopback HTTP, streaming, one at a time, in this order: 1 warm-up (excluded), 3 repetitions of the short, 4K and 16K prompts, and the twelve sanity checks. Prompt and decode speed are the engine's own `timings`; time to first token is the client's monotonic clock from dispatch to the first nonempty reasoning, answer or tool-call delta. No request was retried. Time after the model loaded: 0 min 54 s. + +## Results + +| Case | Prompt tok/s | Decode tok/s | TTFT s | First answer s | Total s | Capped | +| --- | --- | --- | --- | --- | --- | --- | +| short | n/a | 155.7 (145.8-155.8) n=3 | 0.23 (0.14-0.23) n=3 | 0.79 (0.74-1.25) n=3 | 2.6 (2.2-2.9) n=3 | 0/3 | +| prompt-4k | 5030.7 (5024.6-5043.1) n=3 | 155.0 (145.7-163.9) n=3 | 0.83 (0.83-0.83) n=3 | 2.50 (1.96-2.85) n=3 | 4.1 (3.9-4.3) n=3 | 3/3 | +| prompt-16k | 6063.0 (6007.8-6087.1) n=3 | 125.2 (124.3-138.3) n=3 | 2.73 (2.72-2.75) n=3 | 5.94 (4.39-6.23) n=3 | 6.8 (6.3-6.8) n=3 | 2/3 | + +Cells are median (min-max) n=samples. Short is a prompt of about 80 tokens: its prompt rate is dominated by the fixed cost of a request, so it is not shown; read prompt speed from prompt-4k and prompt-16k. Capped = requests that reached the 512-token cap, reasoning and answer together. A capped request's total time is the time to the cap, not to an answer, and it has no first-answer time when it was still reasoning. + +| Phase | Planned | Completed | Truncated | Failed | Skipped | +| --- | ---: | ---: | ---: | ---: | ---: | +| warmup | 1 | 0 | 1 | 0 | 0 | +| performance | 9 | 4 | 5 | 0 | 0 | +| sanity | 12 | 12 | 0 | 0 | 0 | +| concurrency | 12 | 6 | 6 | 0 | 0 | + +Sanity checks: **12 of 12**. + +| Case | Result | Reason | +| --- | --- | --- | +| I1 | pass | the expected JSON value | +| I2 | pass | the expected JSON value | +| I3 | pass | the expected JSON value | +| I4 | pass | the exact expected text | +| R1 | pass | the exact expected text | +| R2 | pass | the exact expected text | +| R3 | pass | the exact expected text | +| R4 | pass | the expected JSON value | +| T1 | pass | the expected tool call | +| T2 | pass | the expected tool call | +| T3 | pass | the expected tool call | +| T4 | pass | the expected tool call | + +Concurrency rounds (four requests released together): + +| Round | Wall s | Output tokens | Aggregate tok/s | Failed | +| ---: | ---: | ---: | ---: | ---: | +| 1 | 6.936859 | 1963 | 282.981101 | 0 | +| 2 | 6.737848 | 2001 | 296.979095 | 0 | +| 3 | 6.614224 | 1829 | 276.525258 | 0 | + +## Failures, exclusions and limitations + +- No request failed. +- Excluded from speed summaries: concurrency-r1-c1: first_answer_s is not available for this request +- Excluded from speed summaries: concurrency-r3-c2: first_answer_s is not available for this request +- Prompt-prefix reuse is the shared template prefix only; the cache was not emptied between requests, and the expert cache stays warm and evolves. These are not cold-model measurements. +- Output caps include reasoning; a request that reaches its cap is `truncated` and fails its sanity check. +- The runner cannot see other programs on the machine, the repeat-stop and loop-recovery switches of the server, or the quantization repository's revision; see `missing` in results.json for every value it could not read. +- The server had answered no request before this run (a freshly loaded engine). diff --git a/bench/results/2026-11-08-standard-4x-rtx-3090-45387cb6/config.json b/bench/results/2026-11-08-standard-4x-rtx-3090-45387cb6/config.json new file mode 100644 index 00000000000..f672f17f16a --- /dev/null +++ b/bench/results/2026-11-08-standard-4x-rtx-3090-45387cb6/config.json @@ -0,0 +1,55 @@ +{ + "engine_options": { + "--pack": "unsloth-ud-iq4_xs", + "--native": "Qwen3.8-Flash-Next-UD-IQ4_XS-00001-of-00003.gguf", + "--expert-profile": "expert-profile.bin", + "--expert-cache": "auto", + "--prefill": "512", + "--spec": "4", + "--spec-min-p": "0.5", + "--mtp": "rt", + "--max-context": "262144", + "--kv": "int8", + "--resident-experts": true, + "--trim-stage-weights": true, + "--ple-io": "ram", + "--aux-cpus": "65-127", + "--conversation-cache-mib": "126976", + "--conversation-cache-slots": "448", + "--kv-resident": "28672", + "--conversation-cache-min-free-mib": "16384", + "--conversation-cache-min-tokens": "1024", + "--vision": true, + "--prompt-cache-every": "8192", + "--prompt-cache": "12", + "--layer-split": "12,25,37", + "--batch": "16" + }, + "other_engine_options": { + "--pack": "unsloth-ud-iq4_xs", + "--native": "Qwen3.8-Flash-Next-UD-IQ4_XS-00001-of-00003.gguf", + "--max-context": "262144", + "--resident-experts": true, + "--trim-stage-weights": true, + "--ple-io": "ram", + "--aux-cpus": "65-127", + "--conversation-cache-mib": "126976", + "--conversation-cache-slots": "448", + "--conversation-cache-min-free-mib": "16384", + "--conversation-cache-min-tokens": "1024", + "--vision": true, + "--prompt-cache-every": "8192", + "--prompt-cache": "12", + "--batch": "16" + }, + "server_defaults": { + "temperature": 1.0, + "top_p": 0.95, + "top_k": 20, + "presence_penalty": 0.0, + "n_predict": -1 + }, + "total_slots": 16, + "context": 262144, + "source": "effective engine arguments of the profile" +} diff --git a/bench/results/2026-11-08-standard-4x-rtx-3090-45387cb6/engine.log b/bench/results/2026-11-08-standard-4x-rtx-3090-45387cb6/engine.log new file mode 100644 index 00000000000..5552d456abe --- /dev/null +++ b/bench/results/2026-11-08-standard-4x-rtx-3090-45387cb6/engine.log @@ -0,0 +1,1358 @@ +load_hparams: Qwen-VL models require at minimum 1024 image tokens to function correctly on grounding tasks +load_hparams: if you encounter problems with accuracy, try adding --image-min-tokens 1024 +load_hparams: more info: https://github.com/ggml-org/llama.cpp/issues/16842 + +strata-vision: model files loaded in 1.1 s +strata-vision: on the CPU, 32 threads, no warm-up +[strata] 2026-11-08 18:08:43 engine started: /bin/strata-212p-74702164d1e5e37d --serve --pack /unsloth-ud-iq4_xs --native --expert-profile --expert-cache auto --prefill 512 --spec 4 --spec-min-p 0.5 --mtp /mtp/rt --max-context 262144 --kv int8 --resident-experts --trim-stage-weights --ple-io ram --aux-cpus 65-127 --conversation-cache-mib 126976 --conversation-cache-slots 448 --kv-resident 28672 --conversation-cache-min-free-mib 16384 --conversation-cache-min-tokens 1024 --vision --prompt-cache-every 8192 --prompt-cache 12 --layer-split 12,25,37 --batch 16 +strata: sm_86 (Ampere): 8 exact speed switches on by default (STRATA_SM86_PERF=0 turns them off; a switch you set is kept): ADAPT_NOWAIT ADAPT_LAG CPU_IQ_ALL_EXACT1 SIDE_MIXER GR_UP75 GU_SWIGLU QSA_ROWS B6_MMVQ_ROWS +strata generate: memory guard: limit 224.0 GiB (source: cgroup), current 1.4 GiB, reclaimable cache credited 0.0 GiB; available 222.6 GiB (MemAvailable 239.2 GiB), floor 16384 MiB +strata generate: layer split across 4 GPUs: CUDA0, then CUDA1,2,3 (split 12,25,37) +strata generate: PCIe probe: 13.0 GB/s host->device (best of 13.0 13.0 13.0 13.0) -> pcie_frac 0.36 (default 0.55) +strata generate: CPU expert kernels: AVX-2 +strata generate: native pack: /unsloth-ud-iq4_xs experts (largest blob 3.48 MB), token embedding Q8_0 in mapped host memory (644 MiB, 0.6 s) +strata generate: layer split: CUDA0 loads the dense weights of layers 0-11 only +strata generate: 463 MiB of weights loaded from /unsloth-ud-iq4_xs in 0.1 s (843 canonical tensors skipped: served natively) +strata generate: 76 native projection matrices, 763.67 MiB of weights, in 0.2 s +strata generate: PLE table locked in RAM (--ple-io ram) in 1.6 s +strata generate: STRATA_SOLO_PIPELINE: --pipeline-windows 2 beside --batch 16: a request alone on the solo path decodes its windows pipelined across the 4 stages (the slots, the admissions and the prompt reads as before; the drafter, which all of them share, is sized for 8 rows, carries the forcing kernel and runs at its card's greatest priority - STRATA_MTP_PRIORITY=0: the default one) +strata generate: layer split: CUDA1 loads the dense weights of layers 12-24 only +strata generate: layer split: CUDA1 PCIe probe 13.1 GB/s (best of 13.1 13.1 13.1 13.1) -> pcie_frac 0.36 +strata generate: layer split: CUDA1 holds its weights; 21.93 GiB free (its session follows the split search) +strata generate: layer split: CUDA2 loads the dense weights of layers 25-36 only +strata generate: layer split: CUDA2 PCIe probe 13.5 GB/s (best of 13.5 13.5 13.5 13.5) -> pcie_frac 0.37 +strata generate: layer split: CUDA2 holds its weights; 22.02 GiB free (its session follows the split search) +strata generate: layer split: CUDA3 loads the dense weights of layers 37-47 only +strata generate: layer split: CUDA3 PCIe probe 13.5 GB/s (best of 13.5 13.5 13.5 13.5) -> pcie_frac 0.37 +strata generate: layer split: CUDA3 holds its weights; 22.11 GiB free (its session follows the split search) +strata generate: profile : 24576 ranked pairs, built for 24576 slots +strata generate: KV streaming: 28672 of 262144 cells per QSA layer in VRAM, the K/V in 0.77 GiB of pinned RAM +strata generate: PLE on, table 320001536 rows of +strata generate: layer split: CUDA1 holds its weights, session [12, 25); 21.64 GiB free +strata generate: layer split: CUDA2 holds its weights, session [25, 37); 21.73 GiB free +strata generate: layer split: CUDA3 holds its weights, session [37, 48) and the head; 21.34 GiB free +strata generate: --batch-groups auto: 4 groups of 4 slots +strata generate: --batch: 16 slot sessions on CUDA0 (0.28 GiB each); 16.92 GiB free +strata generate: --batch: 16 slot sessions on CUDA1 (0.28 GiB each); 17.06 GiB free +strata generate: --batch: 16 slot sessions on CUDA2 (0.28 GiB each); 17.19 GiB free +strata generate: --batch: 16 slot sessions on CUDA3 (0.28 GiB each); 16.80 GiB free +strata generate: --batch 16: the slot sessions take 4.46 GiB of VRAM on CUDA0 that the expert cache would otherwise hold +strata generate: --vision with --batch 16: the image position table holds 17 regions of 262208 rows (the main sessions' and one per slot), 51.0 MiB per GPU; image and text requests share the batch +strata mtp: draft layer loaded, 837 MiB of VRAM (experts 675, dense 111), files read in 0.53 s (1494 MiB/s) +strata mtp: shared draft weights, 50 MiB of private state and buffers +strata mtp: shared draft weights, 50 MiB of private state and buffers +strata generate: STRATA_SPEC_LANES=4: lanes on slots 0,4,8,12, their drafters on CUDA3 (50 MiB of private K/V state and buffers each, sharing the solo drafter's weights; lanes 2 and 3's after the caches); 15.83 GiB free there +strata generate: GPU 0: NVIDIA GeForce RTX 3090, compute capability 8.6 +strata generate: experts via mmap (--mmap-experts; the GGUF shards in place, no experts.bin) +strata generate: file tier (Linux defaults, the GGUF read in place): page-cached experts computed from the mapping (STRATA_COLD_OVERLAP=4), io prefetch with whole-blob preads on 8 I/O threads, the decode's read-ahead only while the page cache has room for it and it pays (STRATA_IO_PF_GATE=1); off: STRATA_COLD_OVERLAP=0, STRATA_IO_PREFETCH=0, STRATA_IO_PF_GATE=0 +strata generate: GPU host-callback thread started before host-core pinning +strata generate: CPU pool tasks/phase: 99 (automatic), participating threads: 33 +strata generate: CPU pool: 32 workers by default (64 physical cores, 128 logical processors; bounded by the measured cap) +strata generate: 32 pool workers on logical processors 1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32, the host thread on 0 (draining too) (--host-core first) +strata generate: CPU workers on logical processors 1-32 (32 workers, one per physical core; host on 0) +strata aux cpus: threads that are neither pool workers nor the host go to CPUs 65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127 (on; 18 threads placed so far) +strata generate: --pipeline-windows 2: 216 MiB of CUDA0 kept out of the expert cache (the second verifier, the GDN snapshots) +strata generate: STRATA_SPEC_LANES=4: 320 MiB of every card kept out of its expert cache (the lane verifiers: 2 arenas of their own, the rest share idle verifiers' (STRATA_LC_SHARE)) +strata: prompt MMQ reads resident experts in place (STRATA_MMQ_DIRECT=1): 48 of 48 layers +strata: prompt MMQ sorts the full expert groups (STRATA_MMQ_GROUP_SORT=1): 48 of 48 layers +strata generate: expert cache auto: 16.80 GiB free, 700 MiB reserved (+0 MiB for the draft head, +256 MiB for what is allocated after the cache) -> 4730 slots +strata generate: +256 B guard per sized slot (STRATA_MMQ_DIRECT) +strata generate: expert cache 6144 slots, 14.27 GiB of VRAM; policy is +strata generate: the GPU computes the experts in the cache; it rounds differently from the CPU, + so a reply can differ slightly from a run without the cache (same quality: + bench/results/2026-09-27-cache-parity). + PROFILE, ranked by routing frequency, no eviction. +strata generate: the profile fill asks for 256 pairs ahead (STRATA_FILL_AHEAD) +strata generate: pre-filled 6144 of 6144 slots from the profile in 4.5 s (3407 MB/s); slot 0 verified +strata generate: STRATA_SOLO_PIPELINE: CUDA1 keeps 160 MiB (the second verifier) + 62.3 MiB (its GDN snapshots) out of the expert cache +strata generate: layer split, CUDA1: 16.96 GiB free of 23.56, room for experts 15.40 GiB +strata generate: layer split: CUDA1 runs layers 12-24, expert cache 6656 slots (14.44 GiB), 6656 of its 6656 profiled pairs; slot 0 verified +strata generate: STRATA_SOLO_PIPELINE: CUDA2 keeps 160 MiB (the second verifier) + 56.1 MiB (its GDN snapshots) out of the expert cache +strata generate: layer split, CUDA2: 17.12 GiB free of 23.56, room for experts 15.57 GiB +strata generate: layer split: CUDA2 runs layers 25-36, expert cache 6144 slots (13.72 GiB), 6144 of its 6144 profiled pairs; slot 0 verified +strata generate: STRATA_SOLO_PIPELINE: CUDA3 keeps 160 MiB (the second verifier) out of the expert cache +strata generate: layer split, CUDA3: 15.83 GiB free of 23.56, room for experts 14.34 GiB +strata generate: layer split: CUDA3 runs layers 37-47, expert cache 5632 slots (13.00 GiB), 5632 of its 5632 profiled pairs; slot 0 verified +strata generate: layer split: CUDA0 runs layers 0-11 +strata generate: every expert is in the GPU caches (24576 of 24576): the file tier's Linux defaults (io prefetch, the decode gate) are off, the decode reads nothing from it (STRATA_IO_PREFETCH=1 keeps them) +strata generate: routing-aware prefetch off (every expert is in the GPU caches; STRATA_LOOKAHEAD=1 runs it) +strata generate: R4 hit path ON - resident experts are computed on the GPU +strata generate: 32 expert-pool workers + the host thread +strata generate: session is up (engine 0.1.58) +strata generate: token graph hit path: 24576 resident experts, decided on the device +strata serve: layer split: 100% of the experts resident, the prompt path's streamed ring 96 slots +FileExpertSource: copied cache complement through layer 8/48 (0.00 GiB, 0 s) +FileExpertSource: copied cache complement through layer 16/48 (0.00 GiB, 0 s) +FileExpertSource: copied cache complement through layer 24/48 (0.00 GiB, 0 s) +FileExpertSource: copied cache complement through layer 32/48 (0.00 GiB, 0 s) +FileExpertSource: copied cache complement through layer 40/48 (0.00 GiB, 0 s) +FileExpertSource: copied cache complement through layer 48/48 (0.00 GiB, 0 s) +FileExpertSource: locked resident cache complement ready: resident 0.00 GiB, pinned 0.00 GiB in 0 s +FileExpertSource: 18432 verified additional-GPU experts remain on the mmap fallback +strata generate: resident RAM mode: 0.00 GiB of experts in RAM (pageable), 6144 in the GPU cache; adaptive swaps exchange them with the GPU cache (no file reads) +strata serve: CUDA0 keeps its own prompt buffers (0.75 GiB of 2.52 GiB free): no loan +strata serve: CUDA1 keeps its own prompt buffers (0.75 GiB of 2.51 GiB free): no loan +strata serve: CUDA2 keeps its own prompt buffers (0.75 GiB of 3.39 GiB free): no loan +strata serve: CUDA3 keeps its own prompt buffers (0.75 GiB of 2.83 GiB free): no loan +strata serve: the prompt path allocates its own buffers (too few cache slots to borrow) +prefill: the GGUF experts are 100% in the page cache; the stager takes the RAM profile +prefill: the GGUF experts are 100% in the page cache; the stager takes the RAM profile +prefill: the GGUF experts are 100% in the page cache; the stager takes the RAM profile +prefill: the GGUF experts are 100% in the page cache; the stager takes the RAM profile +strata serve: STRATA_SOLO_PIPELINE: CUDA0: 1625 MiB free, the second verifier ~160 MiB + the GDN snapshots 56.1 MiB +strata serve: STRATA_SOLO_PIPELINE: CUDA1: 1617 MiB free, the second verifier ~160 MiB + the GDN snapshots 62.3 MiB +strata serve: STRATA_SOLO_PIPELINE: CUDA2: 2517 MiB free, the second verifier ~160 MiB + the GDN snapshots 56.1 MiB +strata serve: STRATA_SOLO_PIPELINE: CUDA3: 1939 MiB free, the second verifier ~160 MiB + the GDN snapshots 0.0 MiB +strata hc: CUDA1: the hyper-connection read runs as staged (the norm per token and stream, the down projection's activations staged ahead by cp.async); checked bit for bit against the plain read on this card (STRATA_HC_SPLIT=1 or 0 for the earlier ones) +strata verify: window up to 8 tokens, 100.1 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata hc: CUDA2: the hyper-connection read runs as staged (the norm per token and stream, the down projection's activations staged ahead by cp.async); checked bit for bit against the plain read on this card (STRATA_HC_SPLIT=1 or 0 for the earlier ones) +strata verify: window up to 8 tokens, 100.1 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata hc: CUDA3: the hyper-connection read runs as staged (the norm per token and stream, the down projection's activations staged ahead by cp.async); checked bit for bit against the plain read on this card (STRATA_HC_SPLIT=1 or 0 for the earlier ones) +strata verify: window up to 8 tokens, 100.1 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata serve: layer split: layers 0-11 (CUDA0), 12-24 (CUDA1), 25-36 (CUDA2), 37-47 (CUDA3), one hand-off per window +strata verify: window up to 8 tokens, 100.1 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata verify: window up to 8 tokens, 100.1 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata verify: window up to 8 tokens, 100.1 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata hc: CUDA0: the hyper-connection read runs as staged (the norm per token and stream, the down projection's activations staged ahead by cp.async); checked bit for bit against the plain read on this card (STRATA_HC_SPLIT=1 or 0 for the earlier ones) +strata verify: window up to 8 tokens, 100.1 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata verify: window up to 8 tokens, 100.1 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata mtp: draft head over 106299 tokens (212.9 MiB) +strata verify: batch windows of up to 16 sequences (layers [0, 12)), one-row windows keep their rows +strata verify: batch windows of up to 16 sequences (layers [12, 25)), one-row windows keep their rows +strata verify: batch windows of up to 16 sequences (layers [25, 37)), one-row windows keep their rows +strata verify: batch windows of up to 16 sequences (layers [37, 48)), one-row windows keep their rows +strata verify: STRATA_EARLY_SAMPLE=1: sampled rows without penalties or logit bias are drawn right behind the window +strata serve: STRATA_SOLO_PIPELINE: the second verifiers, hand-offs and GDN snapshots took (verifier + snapshots) CUDA0 104 + 60 MiB (1359 MiB free), CUDA1 102 + 64 MiB (1347 MiB free), CUDA2 102 + 60 MiB (2251 MiB free), CUDA3 102 + 0 MiB (1513 MiB free) +strata serve: --pipeline-windows 2: two verifiers per stage, 4 stages overlap across windows (decode too; the GDN snapshots beside the window) +strata verify: capturing the 1-token window (1359 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 3.0 ms +strata verify: capturing the 2-token window (1353 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 2.8 ms +strata verify: capturing the 3-token window (1347 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 2.6 ms +strata verify: capturing the 4-token window (1341 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 2.7 ms +strata verify: capturing the 5-token window (1335 MiB of VRAM free) +strata verify: captured the 5-token window (upload no error, sync no error) in 3.2 ms +strata verify: capturing the 6-token window (1327 MiB of VRAM free) +strata verify: captured the 6-token window (upload no error, sync no error) in 2.8 ms +strata verify: capturing the 1-token window (1321 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 2.8 ms +strata verify: capturing the 2-token window (1313 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 2.5 ms +strata verify: capturing the 3-token window (1309 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 3.1 ms +strata verify: capturing the 4-token window (1301 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 2.7 ms +strata verify: capturing the 5-token window (1295 MiB of VRAM free) +strata verify: captured the 5-token window (upload no error, sync no error) in 2.8 ms +strata verify: capturing the 6-token window (1289 MiB of VRAM free) +strata verify: captured the 6-token window (upload no error, sync no error) in 3.1 ms +strata verify: capturing the 1-token window (1347 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 2.7 ms +strata verify: capturing the 2-token window (1341 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 3.0 ms +strata verify: capturing the 3-token window (1333 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 2.5 ms +strata verify: capturing the 4-token window (1327 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 2.9 ms +strata verify: capturing the 5-token window (1321 MiB of VRAM free) +strata verify: captured the 5-token window (upload no error, sync no error) in 2.5 ms +strata verify: capturing the 6-token window (1315 MiB of VRAM free) +strata verify: captured the 6-token window (upload no error, sync no error) in 2.6 ms +strata verify: capturing the 1-token window (1309 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 3.0 ms +strata verify: capturing the 2-token window (1301 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 2.6 ms +strata verify: capturing the 3-token window (1295 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 3.0 ms +strata verify: capturing the 4-token window (1287 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 2.6 ms +strata verify: capturing the 5-token window (1281 MiB of VRAM free) +strata verify: captured the 5-token window (upload no error, sync no error) in 3.0 ms +strata verify: capturing the 6-token window (1273 MiB of VRAM free) +strata verify: captured the 6-token window (upload no error, sync no error) in 2.5 ms +strata verify: capturing the 1-token window (2251 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 2.5 ms +strata verify: capturing the 2-token window (2245 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 2.8 ms +strata verify: capturing the 3-token window (2237 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 2.3 ms +strata verify: capturing the 4-token window (2233 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 2.4 ms +strata verify: capturing the 5-token window (2227 MiB of VRAM free) +strata verify: captured the 5-token window (upload no error, sync no error) in 2.8 ms +strata verify: capturing the 6-token window (2219 MiB of VRAM free) +strata verify: captured the 6-token window (upload no error, sync no error) in 2.4 ms +strata verify: capturing the 1-token window (2213 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 2.8 ms +strata verify: capturing the 2-token window (2205 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 2.3 ms +strata verify: capturing the 3-token window (2201 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 2.8 ms +strata verify: capturing the 4-token window (2193 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 2.4 ms +strata verify: capturing the 5-token window (2187 MiB of VRAM free) +strata verify: captured the 5-token window (upload no error, sync no error) in 2.4 ms +strata verify: capturing the 6-token window (2181 MiB of VRAM free) +strata verify: captured the 6-token window (upload no error, sync no error) in 2.8 ms +strata verify: capturing the 1-token window (1513 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 2.4 ms +strata verify: capturing the 2-token window (1507 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 2.7 ms +strata verify: capturing the 3-token window (1499 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 2.2 ms +strata verify: capturing the 4-token window (1495 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 2.3 ms +strata verify: capturing the 5-token window (1489 MiB of VRAM free) +strata verify: captured the 5-token window (upload no error, sync no error) in 2.8 ms +strata verify: capturing the 6-token window (1481 MiB of VRAM free) +strata verify: captured the 6-token window (upload no error, sync no error) in 2.4 ms +strata verify: capturing the 1-token window (1475 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 2.6 ms +strata verify: capturing the 2-token window (1467 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 2.2 ms +strata verify: capturing the 3-token window (1463 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 2.6 ms +strata verify: capturing the 4-token window (1457 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 2.7 ms +strata verify: capturing the 5-token window (1449 MiB of VRAM free) +strata verify: captured the 5-token window (upload no error, sync no error) in 2.3 ms +strata verify: capturing the 6-token window (1443 MiB of VRAM free) +strata verify: captured the 6-token window (upload no error, sync no error) in 2.2 ms +strata serve: STRATA_SOLO_PIPELINE: the pipelined windows' graphs (both verifiers per stage, the drafter's chain), captured at boot, took CUDA0 78 MiB (1281 MiB free), CUDA1 78 MiB (1269 MiB free), CUDA2 78 MiB (2173 MiB free), CUDA3 84 MiB (1429 MiB free) +strata mtp: shared draft weights, 50 MiB of private state and buffers +strata mtp: shared draft weights, 50 MiB of private state and buffers +strata serve: STRATA_SPEC_LANES: CUDA0 1279 MiB free, 4 lanes ~256 MiB; CUDA1 1267 MiB free, 4 lanes ~249 MiB; CUDA2 2171 MiB free, 4 lanes ~256 MiB; CUDA3 1321 MiB free, 4 lanes ~364 MiB; 2 arenas of their own per card, the rest shared with idle verifiers (STRATA_LC_SHARE); the floor after them 768 MiB + 141 MiB still made lazily -> 4 lanes (of 4 asked) +strata verify: window up to 8 tokens, 100.1 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata verify: window up to 8 tokens, 100.1 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata verify: window up to 8 tokens, 100.1 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata verify: window up to 8 tokens, 100.1 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata verify: window up to 8 tokens, 100.1 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata verify: window up to 8 tokens, 100.1 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata verify: window up to 8 tokens, 100.1 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata verify: window up to 8 tokens, 100.1 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata verify: window up to 8 tokens, 100.1 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata verify: window up to 8 tokens, 100.1 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata verify: window up to 8 tokens, 100.1 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata verify: window up to 8 tokens, 100.1 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata verify: window up to 8 tokens, 100.1 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata verify: window up to 8 tokens, 100.1 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata verify: window up to 8 tokens, 100.1 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata verify: window up to 8 tokens, 100.1 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata verify: capturing the 1-token window (1073 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 3.3 ms +strata verify: capturing the 2-token window (1067 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 2.8 ms +strata verify: capturing the 3-token window (1061 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 2.6 ms +strata verify: capturing the 4-token window (1055 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 3.3 ms +strata verify: capturing the 1-token window (1047 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 2.5 ms +strata verify: capturing the 2-token window (1041 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 2.9 ms +strata verify: capturing the 3-token window (1035 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 2.9 ms +strata verify: capturing the 4-token window (1029 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 4.4 ms +strata verify: capturing the 1-token window (1021 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 2.8 ms +strata verify: capturing the 2-token window (1013 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 2.6 ms +strata verify: capturing the 3-token window (1007 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 3.1 ms +strata verify: capturing the 4-token window (999 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 2.8 ms +strata verify: capturing the 1-token window (993 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 2.3 ms +strata verify: capturing the 2-token window (989 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 3.0 ms +strata verify: capturing the 3-token window (981 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 2.6 ms +strata verify: capturing the 4-token window (975 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 3.2 ms +strata verify: capturing the 1-token window (1059 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 3.2 ms +strata verify: capturing the 2-token window (1053 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 2.7 ms +strata verify: capturing the 3-token window (1047 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 2.9 ms +strata verify: capturing the 4-token window (1039 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 2.6 ms +strata verify: capturing the 1-token window (1033 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 3.0 ms +strata verify: capturing the 2-token window (1025 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 2.6 ms +strata verify: capturing the 3-token window (1019 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 2.6 ms +strata verify: capturing the 4-token window (1013 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 4.7 ms +strata verify: capturing the 1-token window (1003 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 2.5 ms +strata verify: capturing the 2-token window (999 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 2.9 ms +strata verify: capturing the 3-token window (991 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 2.6 ms +strata verify: capturing the 4-token window (985 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 3.0 ms +strata verify: capturing the 1-token window (977 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 2.6 ms +strata verify: capturing the 2-token window (971 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 3.0 ms +strata verify: capturing the 3-token window (963 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 2.6 ms +strata verify: capturing the 4-token window (957 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 2.6 ms +strata verify: capturing the 1-token window (1965 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 2.5 ms +strata verify: capturing the 2-token window (1959 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 2.8 ms +strata verify: capturing the 3-token window (1953 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 2.5 ms +strata verify: capturing the 4-token window (1947 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 2.8 ms +strata verify: capturing the 1-token window (1939 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 2.5 ms +strata verify: capturing the 2-token window (1933 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 2.4 ms +strata verify: capturing the 3-token window (1927 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 3.2 ms +strata verify: capturing the 4-token window (1919 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 2.3 ms +strata verify: capturing the 1-token window (1915 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 2.8 ms +strata verify: capturing the 2-token window (1907 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 4.2 ms +strata verify: capturing the 3-token window (1899 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 2.8 ms +strata verify: capturing the 4-token window (1891 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 2.4 ms +strata verify: capturing the 1-token window (1885 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 2.3 ms +strata verify: capturing the 2-token window (1881 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 2.8 ms +strata verify: capturing the 3-token window (1873 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 2.4 ms +strata verify: capturing the 4-token window (1867 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 2.8 ms +strata verify: capturing the 1-token window (1059 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 2.4 ms +strata verify: capturing the 2-token window (1053 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 2.6 ms +strata verify: capturing the 3-token window (1047 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 2.3 ms +strata verify: capturing the 4-token window (1041 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 2.3 ms +strata verify: capturing the 1-token window (1035 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 2.6 ms +strata verify: capturing the 2-token window (1027 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 2.3 ms +strata verify: capturing the 3-token window (1021 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 2.6 ms +strata verify: capturing the 4-token window (1015 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 2.3 ms +strata verify: capturing the 1-token window (1009 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 2.3 ms +strata verify: capturing the 2-token window (1003 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 2.7 ms +strata verify: capturing the 3-token window (995 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 2.1 ms +strata verify: capturing the 4-token window (991 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 2.7 ms +strata verify: capturing the 1-token window (983 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 2.3 ms +strata verify: capturing the 2-token window (977 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 2.3 ms +strata verify: capturing the 3-token window (971 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 2.6 ms +strata verify: capturing the 4-token window (965 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 2.3 ms +strata serve: STRATA_SPEC_LANES=4: the lanes' window and commit graphs (up to 4 rows) took CUDA0 106 MiB, CUDA1 108 MiB, CUDA2 106 MiB, CUDA3 100 MiB +strata serve: STRATA_SPEC_LANES=4: the lane verifiers, hand-offs, the drafters' graphs and the lanes' window graphs took CUDA0 252 MiB (1027 MiB free), CUDA1 252 MiB (1015 MiB free), CUDA2 252 MiB (1919 MiB free), CUDA3 362 MiB (959 MiB free); lane 0 in the main verifiers' arenas, lane 1 in the second verifiers', the GDN snapshots in lane 2's +strata serve: STRATA_CONV_MMAP: parked K/V segments and checkpoint state of 64 KiB or more are mapped one by one and unmapped when freed (an eviction returns its RAM to the kernel at once) +strata serve: STRATA_GATE_EVICT: the physical-RAM gates evict only what can help and stop after 2 evictions in a row that did not raise the available RAM by half their size; a batch slot's capture evicts to fit the RAM floor +strata serve: conversation tier: on: (warm); files=0 parts=0 disk_bytes=0 written_today=0 budget=1000000000000 budget_left=1000000000000 spills=0 written_bytes=0 restores=0 restores_queue=0 read_bytes=0 misses=0 drops_small=0 drops_budget=0 drops_busy=0 drops_ram=0 drops_cap=0 drops_io=0 kept=0 superseded=0 expired=0 evicted=0 pending=0 pending_bytes=0 foreign=0 verified=0 +strata serve: STRATA_PARK_CAPTURE: a finished request's conversation is captured beside the slots on 4 threads (8 x 16 MiB pinned staging) +strata serve: STRATA_MSG_CKPT_TAIL=8192: a prompt read also checkpoints in front of a last message of up to 8192 tokens (a prefix of 8192 or more) +strata serve: PCIe share: start 0.10 from 32 pool workers (assumed 65 GB/s of expert bytes) and the 13.0 GB/s link (was 0.36) +strata serve: adaptive overlap: off: not on a layer split +strata serve: 1027 MiB of VRAM free with everything loaded +strata serve: CUDA1: 1015 MiB of VRAM free with everything loaded +strata serve: CUDA2: 1919 MiB of VRAM free with everything loaded +strata serve: CUDA3: 959 MiB of VRAM free with everything loaded +strata serve: STRATA_SLOT_PARK: a pipelined slot's conversation is captured when it ends, on 4 threads (8 x 16 MiB pinned staging), and parked when the slot is overwritten +strata prefill: QSA layers: norm + rope in one pass on, attention gate in the attention epilogue off +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: draft layer prompt K/V batched on CUDA3 (E-9 on the layer split, K/V mode 2) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: prompt 75 tokens = 0 reused + 75 read in 484 ms (155.0 tok/s), 128 generated in 882 ms (145.0 tok/s), drafts accepted 69 of 116, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 59529.9 MB of expert reads +strata serve: KV streaming: 99.44% of 27669 block reads hit VRAM, 0.6 MiB read from RAM +strata serve: suffix drafts: 2 windows, 3 of 7 drafts accepted +strata serve: conversation cache: skip parking (202 tokens, below the 1024 minimum; parked=0) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: prompt 77 tokens = 0 reused + 77 read in 127 ms (605.7 tok/s), 356 generated in 2441 ms (145.8 tok/s), drafts accepted 191 of 311, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 99.77% of 142590 block reads hit VRAM, 1.3 MiB read from RAM +strata serve: suffix drafts: 3 windows, 9 of 15 drafts accepted +strata serve: conversation cache: skip parking (432 tokens, below the 1024 minimum; parked=0) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 21 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata serve: prompt 4093 tokens = 0 reused + 4093 read in 812 ms (5043.0 tok/s), 512 generated in 3123 ms (163.9 tok/s), drafts accepted 305 of 456, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in 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existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata serve: prompt 16387 tokens = 0 reused + 16387 read in 2703 ms (6062.9 tok/s), 489 generated in 3537 ms (138.3 tok/s), drafts accepted 264 of 423, 2 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 99.17% of 1458843 block reads hit VRAM, 48.8 MiB read from RAM +strata serve: suffix drafts: 5 windows, 7 of 25 drafts accepted +strata serve: conversation cache: parked 16875 tokens in 90.5 ms; parked=2 bytes=924684160 evictions=0 snapshot_bytes=615864720 reused_kv_bytes=0 capture=async capture_ms=94.1 wait_ms=89.3 +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: prompt 77 tokens = 0 reused + 77 read in 217 ms (355.0 tok/s), 419 generated in 2690 ms (155.8 tok/s), drafts accepted 243 of 398, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 99.80% of 184779 block reads hit VRAM, 1.5 MiB read from RAM +strata serve: suffix drafts: 3 windows, 8 of 11 drafts accepted +strata serve: conversation cache: skip parking (495 tokens, below 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3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 21 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata serve: prompt 4093 tokens = 0 reused + 4093 read in 814 ms (5030.5 tok/s), 512 generated in 3514 ms (145.7 tok/s), drafts accepted 270 of 422, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from 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existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata serve: prompt 16387 tokens = 0 reused + 16387 read in 2692 ms (6087.1 tok/s), 512 generated in 4121 ms (124.3 tok/s), drafts accepted 226 of 369, 2 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 99.16% of 1449600 block reads hit VRAM, 49.2 MiB read from RAM +strata serve: suffix drafts: 3 windows, 6 of 11 drafts accepted +strata serve: conversation cache: parked 16898 tokens in 90.2 ms; parked=4 bytes=1849843824 evictions=0 snapshot_bytes=616340224 reused_kv_bytes=0 capture=async capture_ms=94.2 wait_ms=89.0 +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: prompt 77 tokens = 0 reused + 77 read in 218 ms (353.0 tok/s), 308 generated in 1978 ms (155.7 tok/s), drafts accepted 178 of 281, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 99.73% of 106872 block reads hit VRAM, 1.2 MiB read from 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prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 21 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata serve: prompt 4093 tokens = 0 reused + 4093 read in 815 ms (5024.4 tok/s), 512 generated in 3304 ms (155.0 tok/s), drafts accepted 287 of 420, 1 checkpoints +strata serve: resident RAM: 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KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 93 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata serve: prompt 16387 tokens = 0 reused + 16387 read in 2728 ms (6007.9 tok/s), 512 generated in 4088 ms (125.2 tok/s), drafts accepted 231 of 381, 2 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 99.19% of 1515849 block reads hit VRAM, 49.4 MiB read from RAM +strata serve: suffix drafts: 3 windows, 8 of 15 drafts accepted +strata serve: conversation cache: parked 16898 tokens in 89.3 ms; parked=6 bytes=2775003488 evictions=0 snapshot_bytes=616340224 reused_kv_bytes=0 capture=async capture_ms=93.7 wait_ms=88.3 +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: prompt 82 tokens = 0 reused + 82 read in 219 ms (374.5 tok/s), 72 generated in 422 ms (170.6 tok/s), drafts accepted 44 of 68, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 99.10% of 13296 block reads hit VRAM, 0.5 MiB read from RAM +strata serve: suffix drafts: 1 windows, 3 of 5 drafts accepted +strata serve: conversation cache: skip parking (153 tokens, below the 1024 minimum; parked=6) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: prompt 90 tokens = 0 reused + 90 read in 134 ms (670.9 tok/s), 60 generated in 333 ms (180.4 tok/s), drafts accepted 38 of 62, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 98.93% of 10944 block reads hit VRAM, 0.5 MiB read from RAM +strata serve: conversation cache: skip parking (149 tokens, below the 1024 minimum; parked=6) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: prompt 85 tokens = 0 reused + 85 read in 132 ms (643.4 tok/s), 86 generated in 367 ms (234.4 tok/s), drafts accepted 60 of 72, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 98.84% of 11385 block reads hit VRAM, 0.5 MiB read from RAM +strata serve: conversation cache: skip parking (170 tokens, below the 1024 minimum; parked=6) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: prompt 71 tokens = 0 reused + 71 read in 122 ms (584.2 tok/s), 24 generated in 112 ms (215.0 tok/s), drafts accepted 16 of 21, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 97.08% of 2568 block reads hit VRAM, 0.3 MiB read from RAM +strata serve: conversation cache: skip parking (94 tokens, below the 1024 minimum; parked=6) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 21 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata serve: prompt 4089 tokens = 0 reused + 4089 read in 813 ms (5032.1 tok/s), 66 generated in 403 ms (163.8 tok/s), drafts accepted 40 of 56, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 98.56% of 204882 block reads hit VRAM, 11.9 MiB read from RAM +strata serve: conversation cache: parked 4154 tokens in 43.3 ms; parked=7 bytes=3077057264 evictions=0 snapshot_bytes=302053776 reused_kv_bytes=0 capture=async capture_ms=47.4 wait_ms=42.2 +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 21 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata serve: prompt 4089 tokens = 0 reused + 4089 read in 857 ms (4768.9 tok/s), 66 generated in 332 ms (199.0 tok/s), drafts accepted 42 of 55, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 98.12% of 161751 block reads hit VRAM, 12.2 MiB read from RAM +strata serve: conversation cache: parked 4154 tokens in 35.0 ms; parked=8 bytes=3379111040 evictions=0 snapshot_bytes=302053776 reused_kv_bytes=0 capture=async capture_ms=46.9 wait_ms=33.9 +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 93 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata serve: prompt 16382 tokens = 0 reused + 16382 read in 2715 ms (6034.5 tok/s), 51 generated in 280 ms (182.0 tok/s), drafts accepted 32 of 38, 2 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 93.70% of 117081 block reads hit VRAM, 29.7 MiB read from RAM +strata serve: conversation cache: parked 16432 tokens in 77.1 ms; parked=9 bytes=3988210192 evictions=0 snapshot_bytes=609099152 reused_kv_bytes=0 capture=async capture_ms=92.6 wait_ms=76.1 +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 96 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata serve: prompt 16390 tokens = 0 reused + 16390 read in 2840 ms (5770.4 tok/s), 160 generated in 836 ms (191.4 tok/s), drafts accepted 106 of 120, 3 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 97.57% of 369714 block reads hit VRAM, 36.2 MiB read from RAM +strata serve: conversation cache: parked 16549 tokens in 103.7 ms; parked=10 bytes=4718537664 evictions=0 snapshot_bytes=730327472 reused_kv_bytes=0 capture=async capture_ms=109.3 wait_ms=102.6 +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: prompt 325 tokens = 0 reused + 325 read in 376 ms (863.8 tok/s), 64 generated in 300 ms (213.4 tok/s), drafts accepted 43 of 56, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 98.89% of 26790 block reads hit VRAM, 1.2 MiB read from RAM +strata serve: conversation cache: skip parking (388 tokens, below the 1024 minimum; parked=10) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: prompt 335 tokens = 0 reused + 335 read in 261 ms (1282.2 tok/s), 63 generated in 282 ms (223.4 tok/s), drafts accepted 43 of 54, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 98.90% of 27522 block reads hit VRAM, 1.2 MiB read from RAM +strata serve: conversation cache: skip parking (397 tokens, below the 1024 minimum; parked=10) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: prompt 352 tokens = 0 reused + 352 read in 265 ms (1329.2 tok/s), 73 generated in 283 ms (258.1 tok/s), drafts accepted 53 of 57, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 98.88% of 28680 block reads hit VRAM, 1.3 MiB read from RAM +strata serve: conversation cache: skip parking (424 tokens, below the 1024 minimum; parked=10) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: prompt 339 tokens = 0 reused + 339 read in 264 ms (1285.8 tok/s), 67 generated in 288 ms (232.4 tok/s), drafts accepted 46 of 57, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 98.76% of 24870 block reads hit VRAM, 1.2 MiB read from RAM +strata serve: conversation cache: skip parking (405 tokens, below the 1024 minimum; parked=10) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: prompt 78 tokens = 0 reused + 78 read in 128 ms (610.6 tok/s), 5 generated in 33 ms (153.8 tok/s), drafts accepted 3 of 3, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 91.70% of 795 block reads hit VRAM, 0.3 MiB read from RAM +strata verify: capturing the 1-token window (981 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 2.7 ms +strata verify: capturing the 1-token window (955 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 2.5 ms +strata verify: capturing the 1-token window (1861 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 2.5 ms +strata verify: capturing the 1-token window (907 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 2.4 ms +strata batch: slot 0 takes 83 tokens (copied in 10.9 ms) +strata serve: prompt 83 tokens = 82 reused + 1 read in 0 ms (2575.9 tok/s), 1 generated in 22 ms (46.1 tok/s), drafts accepted 0 of 0, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 92.31% of 858 block reads hit VRAM, 0.3 MiB read from RAM +strata serve: conversation cache: 83 tokens not parked here: slot 0 parks them with its reply +strata verify: batch decode attention: slots-stream (STRATA_QSA_SLOTS_STREAM=1: slots launches on a streamed KV cache, each row resolved first); STRATA_ATTN_DAILY=0 +strata verify: captured the batch window over slots 0 +strata verify: captured the batch window over slots 0,1,2,3 +strata verify: captured the batch window over slots 4,5,6,7 +strata verify: captured the batch window over slots 8,9,10,11 +strata verify: captured the batch window over slots 12,13,14,15 +strata verify: captured the batch window over slots 0 +strata verify: captured the batch window over slots 0,1,2,3 +strata verify: captured the batch window over slots 4,5,6,7 +strata verify: captured the batch window over slots 8,9,10,11 +strata verify: captured the batch window over slots 12,13,14,15 +strata verify: captured the batch window over slots 0 +strata verify: captured the batch window over slots 0,1,2,3 +strata verify: captured the batch window over slots 4,5,6,7 +strata verify: captured the batch window over slots 8,9,10,11 +strata verify: captured the batch window over slots 12,13,14,15 +strata verify: captured the batch window over slots 0 +strata verify: captured the batch window over slots 0,1,2,3 +strata verify: captured the batch window over slots 4,5,6,7 +strata verify: captured the batch window over slots 8,9,10,11 +strata verify: captured the batch window over slots 12,13,14,15 +strata batch: overlapped read: captured 20 group layouts in 55.2 ms +strata generate: STRATA_PIPE_OVERLAP_KVS=1: first overlapped read with a streamed K/V cache (--kv-resident 28672) prepared; free VRAM before->after: CUDA0 975->949 MiB CUDA1 949->923 MiB CUDA2 1855->1829 MiB CUDA3 899->873 MiB +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata batch: overlapped read of 73 tokens in 121 ms (drain 8.2 ms); the slots decoded 9 rows meanwhile, D_ref 0.0 rows/s, lost n/a of decode; 0 group starts padded up, 0 waited; stage-1 PLE gather 0.025 ms avg over 9 windows, ple hit n/a +strata batch: slot 4 takes 78 tokens (copied in 3.0 ms) +strata serve: prompt 78 tokens = 0 reused + 78 read in 209 ms (372.7 tok/s), 1 generated in 22 ms (46.5 tok/s), drafts accepted 0 of 0, 0 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 79.38% of 291 block reads hit VRAM, 0.2 MiB read from RAM +strata batch: STRATA_SPEC_LANES: lanes ran 0 ms (start 1): ; drafter catch-ups from batch windows 9 + 0 + 0 + 0 (0 + 0 + 0 + 0 found a hole) +strata serve: conversation cache: 78 tokens not parked here: slot 4 parks them with its reply +strata verify: captured the batch window over slots 4 +strata verify: captured the batch window over slots 4 +strata verify: captured the batch window over slots 4 +strata verify: captured the batch window over slots 4 +strata batch: overlapped read: captured 4 group layouts in 10.5 ms +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata batch: overlapped read of 73 tokens in 144 ms (drain 12.0 ms); the slots decoded 21 rows meanwhile, D_ref 0.0 rows/s, lost n/a of decode; 0 group starts padded up, 0 waited; stage-1 PLE gather 0.024 ms avg over 21 windows, ple hit n/a +strata batch: slot 8 takes 78 tokens (copied in 3.0 ms) +strata serve: prompt 78 tokens = 0 reused + 78 read in 174 ms (449.3 tok/s), 1 generated in 21 ms (46.6 tok/s), drafts accepted 0 of 0, 0 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 79.38% of 291 block reads hit VRAM, 0.2 MiB read from RAM +strata batch: STRATA_SPEC_LANES: lanes ran 0 ms (start 2): ; drafter catch-ups from batch windows 19 + 11 + 0 + 0 (0 + 0 + 0 + 0 found a hole) +strata serve: conversation cache: 78 tokens not parked here: slot 8 parks them with its reply +strata verify: captured the batch window over slots 8 +strata verify: captured the batch window over slots 8 +strata verify: captured the batch window over slots 8 +strata verify: captured the batch window over slots 8 +strata batch: overlapped read: captured 4 group layouts in 10.8 ms +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata batch: overlapped read of 73 tokens in 161 ms (drain 11.6 ms); the slots decoded 32 rows meanwhile, D_ref 0.0 rows/s, lost n/a of decode; 0 group starts padded up, 0 waited; stage-1 PLE gather 0.022 ms avg over 32 windows, ple hit n/a +strata batch: slot 12 takes 78 tokens (copied in 3.1 ms) +strata serve: prompt 78 tokens = 0 reused + 78 read in 191 ms (408.9 tok/s), 1 generated in 20 ms (49.0 tok/s), drafts accepted 0 of 0, 0 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 79.38% of 291 block reads hit VRAM, 0.2 MiB read from RAM +strata batch: STRATA_SPEC_LANES: lanes ran 4854 ms (start 3): slot 0: 200 windows, 330 tokens (68.0 tok/s), drafts 130 of 218 (59.6%); slot 4: 177 windows, 410 tokens (84.5 tok/s), drafts 233 of 369 (63.1%); slot 8: 186 windows, 495 tokens (102.0 tok/s), drafts 309 of 447 (69.1%); slot 12: 198 windows, 511 tokens (105.3 tok/s), drafts 315 of 453 (69.5%); drafter catch-ups from batch windows 30 + 21 + 11 + 0 (0 + 0 + 0 + 0 found a hole) +strata serve: conversation cache: skip parking (78 tokens, below the 1024 minimum; parked=10) +strata batch: slot 0 gave back 443 tokens of this conversation (all it holds, and 1 checkpoint of its own) in 66.1 ms +strata serve: prompt 444 tokens = 443 reused + 1 read in 67 ms (15.0 tok/s), 146 generated in 1156 ms (126.3 tok/s), drafts accepted 64 of 100, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 99.57% of 103899 block reads hit VRAM, 1.8 MiB read from RAM +strata serve: conversation cache: skip parking (589 tokens, below the 1024 minimum; parked=10) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: prompt 78 tokens = 0 reused + 78 read in 126 ms (616.8 tok/s), 5 generated in 30 ms (167.6 tok/s), drafts accepted 3 of 3, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 90.50% of 663 block reads hit VRAM, 0.3 MiB read from RAM +strata serve: conversation cache: slot 0 not parked before its overwrite (its 443 tokens have no per-slot draft K/V without --batch-mtp) +strata batch: slot 0 takes 83 tokens (copied in 10.6 ms) +strata serve: prompt 83 tokens = 82 reused + 1 read in 0 ms (2690.2 tok/s), 1 generated in 11 ms (87.7 tok/s), drafts accepted 0 of 0, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 91.32% of 726 block reads hit VRAM, 0.3 MiB read from RAM +strata serve: conversation cache: 83 tokens not parked here: slot 0 parks them with its reply +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata batch: overlapped read of 73 tokens in 117 ms (drain 10.1 ms); the slots decoded 9 rows meanwhile, D_ref 0.0 rows/s, lost n/a of decode; 0 group starts padded up, 0 waited; stage-1 PLE gather 0.025 ms avg over 9 windows, ple hit n/a +strata serve: conversation cache: slot 4 not parked before its overwrite (its 509 tokens have no per-slot draft K/V without --batch-mtp) +strata batch: slot 4 takes 78 tokens (copied in 3.1 ms) +strata serve: prompt 78 tokens = 0 reused + 78 read in 152 ms (512.8 tok/s), 1 generated in 21 ms (48.0 tok/s), drafts accepted 0 of 0, 0 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 79.38% of 291 block reads hit VRAM, 0.2 MiB read from RAM +strata batch: STRATA_SPEC_LANES: lanes ran 21 ms (start 4): slot 0: 1 windows, 1 tokens (48.0 tok/s), drafts 0 of 0 (0.0%); slot 4: 1 windows, 4 tokens (192.0 tok/s), drafts 3 of 3 (100.0%); drafter catch-ups from batch windows 39 + 21 + 11 + 0 (0 + 0 + 0 + 0 found a hole) +strata serve: conversation cache: 78 tokens not parked here: slot 4 parks them with its reply +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata batch: overlapped read of 73 tokens in 137 ms (drain 8.7 ms); the slots decoded 20 rows meanwhile, D_ref 0.0 rows/s, lost n/a of decode; 0 group starts padded up, 0 waited; stage-1 PLE gather 0.022 ms avg over 20 windows, ple hit n/a +strata serve: conversation cache: slot 8 not parked before its overwrite (its 584 tokens have no per-slot draft K/V without --batch-mtp) +strata batch: slot 8 takes 78 tokens (copied in 3.1 ms) +strata serve: prompt 78 tokens = 0 reused + 78 read in 153 ms (509.8 tok/s), 1 generated in 21 ms (47.6 tok/s), drafts accepted 0 of 0, 0 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 79.38% of 291 block reads hit VRAM, 0.2 MiB read from RAM +strata batch: STRATA_SPEC_LANES: lanes ran 24 ms (start 5): slot 0: 1 windows, 1 tokens (41.1 tok/s), drafts 0 of 0 (0.0%); slot 4: 1 windows, 1 tokens (41.1 tok/s), drafts 0 of 0 (0.0%); slot 8: 1 windows, 4 tokens (164.5 tok/s), drafts 3 of 3 (100.0%); drafter catch-ups from batch windows 49 + 31 + 11 + 0 (0 + 0 + 0 + 0 found a hole) +strata serve: conversation cache: 78 tokens not parked here: slot 8 parks them with its reply +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata batch: overlapped read of 73 tokens in 162 ms (drain 10.2 ms); the slots decoded 32 rows meanwhile, D_ref 0.0 rows/s, lost n/a of decode; 0 group starts padded up, 0 waited; stage-1 PLE gather 0.022 ms avg over 32 windows, ple hit n/a +strata serve: conversation cache: slot 12 not parked before its overwrite (its 589 tokens have no per-slot draft K/V without --batch-mtp) +strata batch: slot 12 takes 78 tokens (copied in 3.2 ms) +strata serve: prompt 78 tokens = 0 reused + 78 read in 180 ms (434.1 tok/s), 1 generated in 20 ms (48.8 tok/s), drafts accepted 0 of 0, 0 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 79.38% of 291 block reads hit VRAM, 0.2 MiB read from RAM +strata batch: STRATA_SPEC_LANES: lanes ran 5492 ms (start 6): slot 0: 193 windows, 442 tokens (80.5 tok/s), drafts 249 of 394 (63.2%); slot 4: 232 windows, 420 tokens (76.5 tok/s), drafts 188 of 346 (54.3%); slot 8: 230 windows, 496 tokens (90.3 tok/s), drafts 268 of 421 (63.7%); slot 12: 191 windows, 497 tokens (90.5 tok/s), drafts 308 of 466 (66.1%); drafter catch-ups from batch windows 59 + 42 + 22 + 0 (0 + 0 + 0 + 0 found a hole) +strata serve: conversation cache: skip parking (78 tokens, below the 1024 minimum; parked=10) +strata batch: slot 4 gave back 524 tokens of this conversation (all it holds, and 1 checkpoint of its own) in 57.0 ms +strata serve: prompt 525 tokens = 524 reused + 1 read in 58 ms (17.4 tok/s), 65 generated in 388 ms (167.5 tok/s), drafts accepted 40 of 63, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 99.20% of 56004 block reads hit VRAM, 1.8 MiB read from RAM +strata serve: conversation cache: skip parking (589 tokens, below the 1024 minimum; parked=10) diff --git a/bench/results/2026-11-08-standard-4x-rtx-3090-45387cb6/outputs.jsonl b/bench/results/2026-11-08-standard-4x-rtx-3090-45387cb6/outputs.jsonl new file mode 100644 index 00000000000..590c26b630f --- /dev/null +++ b/bench/results/2026-11-08-standard-4x-rtx-3090-45387cb6/outputs.jsonl @@ -0,0 +1,34 @@ +{"request_id": "warmup", "phase": "warmup", "case_id": "warmup", "request": {"stream": true, "stream_options": {"include_usage": true}, "max_tokens": 128, "seed": 1, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}}, "messages": [{"role": "user", "content": "[case warmup]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table finds a value by using a hash function to convert the key into an index.\n\n1. Compute a hash from the key:", "reasoning": "We need to respond to user: \"[case warmup]\nExplain how a hash table finds a value, including collisions and one small example.\"\n\nWe need to produce final answer. Need likely concise explanation. Include case warmup? Maybe they expect answer only. We can provide explanation. Need maybe handle \"case warmup\" perhaps means warm-up case? Just explain. Ensure include finding value, hash function, bucket, collisions (chaining/open addressing), small example.\n", "tool_calls": [], "finish_reason": "length", "usage": {"prompt_tokens": 75, "completion_tokens": 128, "total_tokens": 203, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 75, "prompt_ms": 483.9, "prompt_per_token_ms": 6.452, "prompt_per_second": 155.0, "predicted_n": 128, "predicted_ms": 882.5, "predicted_per_token_ms": 6.895, "predicted_per_second": 145.0, "draft_n": 116, "draft_n_accepted": 69}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 1.372266, "first_delta": {"offset_s": 0.501308, "kind": "reasoning"}, "first_answer_offset_s": 1.214629, "client_events": [[0.501308, "reasoning"], [0.520357, "reasoning"], [0.520398, "reasoning"], [0.539741, "reasoning"], [0.539775, "reasoning"], [0.539818, "reasoning"], [0.539859, "reasoning"], [0.547682, "reasoning"], [0.567128, "reasoning"], [0.567166, "reasoning"], [0.567208, "reasoning"], [0.567265, "reasoning"], [0.575041, "reasoning"], [0.593484, "reasoning"], [0.593535, "reasoning"], [0.593568, "reasoning"], [0.60544, "reasoning"], [0.605466, "reasoning"], [0.605509, "reasoning"], [0.605544, "reasoning"], [0.605578, "reasoning"], [0.605614, "reasoning"], [0.612342, "reasoning"], [0.61237, "reasoning"], [0.627165, "reasoning"], [0.62719, "reasoning"], [0.627238, "reasoning"], [0.627278, "reasoning"], [0.653072, "reasoning"], [0.653098, "reasoning"], [0.665484, "reasoning"], [0.680328, "reasoning"], [0.695051, "reasoning"], [0.695086, "reasoning"], [0.70848, "reasoning"], [0.71709, "reasoning"], [0.717115, "reasoning"], [0.717148, "reasoning"], [0.717188, "reasoning"], [0.728744, "reasoning"], [0.72877, "reasoning"], [0.728804, "reasoning"], [0.746677, "reasoning"], [0.746704, "reasoning"], [0.766325, "reasoning"], [0.778581, "reasoning"], [0.796143, "reasoning"], [0.796169, "reasoning"], [0.811121, "reasoning"], [0.811146, "reasoning"], [0.816855, "reasoning"], [0.830098, "reasoning"], [0.834815, "reasoning"], [0.852617, "reasoning"], [0.852643, "reasoning"], [0.86732, "reasoning"], [0.882265, "reasoning"], [0.901458, "reasoning"], [0.901484, "reasoning"], [0.901501, "reasoning"], [0.901552, "reasoning"], [0.920952, "reasoning"], [0.933097, "reasoning"], [0.952369, "reasoning"], [0.952395, "reasoning"], [0.952412, "reasoning"], [0.952456, "reasoning"], [0.95797, "reasoning"], [0.970112, "reasoning"], [0.990019, "reasoning"], [1.004659, "reasoning"], [1.004685, "reasoning"], [1.010625, "reasoning"], [1.01065, "reasoning"], [1.023258, "reasoning"], [1.029624, "reasoning"], [1.02965, "reasoning"], [1.043815, "reasoning"], [1.063904, "reasoning"], [1.083191, "reasoning"], [1.083217, "reasoning"], [1.083256, "reasoning"], [1.102244, "reasoning"], [1.121112, "reasoning"], [1.121138, "reasoning"], [1.139995, "reasoning"], [1.140021, "reasoning"], [1.140049, "reasoning"], [1.159443, "reasoning"], [1.159469, "reasoning"], [1.159502, "reasoning"], [1.177502, "reasoning"], [1.177528, "reasoning"], [1.177556, "reasoning"], [1.195669, "reasoning"], [1.195697, "reasoning"], [1.195716, "reasoning"], [1.214629, "answer"], [1.214658, "answer"], [1.22009, "answer"], [1.220116, "answer"], [1.236604, "answer"], [1.23663, "answer"], [1.236661, "answer"], [1.2367, "answer"], [1.251252, "answer"], [1.251278, "answer"], [1.258212, "answer"], [1.258252, "answer"], [1.258285, "answer"], [1.278162, "answer"], [1.278187, "answer"], [1.278218, "answer"], [1.278267, "answer"], [1.297711, "answer"], [1.297736, "answer"], [1.316262, "answer"], [1.316288, "answer"], [1.316321, "answer"], [1.333358, "answer"], [1.352002, "answer"], [1.352029, "answer"], [1.37148, "answer"], [1.371505, "answer"], [1.371534, "answer"]]} +{"request_id": "performance-short-r1", "phase": "performance", "case_id": "short", "request": {"stream": true, "stream_options": {"include_usage": true}, "max_tokens": 512, "seed": 1, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}}, "messages": [{"role": "user", "content": "[case performance-short-r1]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table stores **key–value pairs**. To find a value, it uses the key to compute a location:\n\n1. Hash the key to get a number.\n2. Use that number to find a bucket/index.\n3. Check that bucket for a matching key.\n4. If the key matches, return its value.\n\nA **collision** happens when two different keys hash to the same index. Hash tables handle this with techniques like:\n\n- **Separate chaining:** each bucket holds a list of entries.\n- **Open addressing:** if the slot is taken, probe nearby slots.\n\nSmall example, with chaining:\n\n```text\nindex 0:\nindex 1: (\"apple\", 5) -> (\"orange\", 8)\nindex 2:\n```\n\nFind `\"orange\"`:\n\n- `hash(\"orange\")` maps to index 1.\n- Look at index 1.\n- Check `\"apple\"`: no match.\n- Check `\"orange\"`: match.\n- Return `8`.", "reasoning": "We need answer user: \"Explain how a hash table finds a value, including collisions and one small example. We need provide final answer. User likely wants concise explanation. Need include hash table finds value: key -> hash function -> index -> bucket; if exact key found return value; collisions same index: separate chaining or open addressing; example. Need maybe \"case performance-short-r1\" perhaps some benchmark? Keep short? The case name says performance-short-r1 maybe expected short answer. But desired oververbosity 9? Hmm user asks explain including collisions and example. Keep reasonably concise. Could provide bullets and example. No need elaborate too much. 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theta.\nrecord000114: alpha beta gamma delta epsilon zeta eta theta.\nrecord000115: alpha beta gamma delta epsilon zeta eta theta.\nrecord000116: alpha beta gamma delta epsilon zeta eta theta.\nrecord000117: alpha beta gamma delta epsilon zeta eta theta.\nrecord000118: alpha beta gamma delta epsilon zeta eta theta.\nrecord000119: alpha beta gamma delta epsilon zeta eta theta.\nrecord000120: alpha beta gamma delta epsilon zeta eta theta.\nrecord000121: alpha beta gamma delta epsilon zeta eta theta.\nrecord000122: alpha beta gamma delta epsilon zeta eta theta.\nrecord000123: alpha beta gamma delta epsilon zeta eta theta.\nrecord000124: alpha beta gamma delta epsilon zeta eta theta.\nrecord000125: alpha beta gamma delta epsilon zeta eta theta.\nrecord000126: alpha beta gamma delta epsilon zeta eta theta.\nrecord000127: alpha beta gamma delta epsilon zeta eta theta.\nrecord000128: alpha beta gamma delta epsilon zeta eta theta.\nrecord000129: alpha beta gamma delta epsilon zeta eta theta.\nrecord000130: alpha beta gamma delta epsilon zeta eta theta.\nrecord000131: alpha beta gamma delta epsilon zeta eta theta.\nrecord000132: alpha beta gamma delta epsilon zeta eta theta.\nrecord000133: alpha beta gamma delta epsilon zeta eta theta.\nrecord000134: alpha beta gamma delta epsilon zeta eta theta.\nrecord000135: alpha beta gamma delta epsilon zeta eta theta.\nrecord000136: alpha beta gamma delta epsilon zeta eta theta.\nrecord000137: alpha beta gamma delta epsilon zeta eta theta.\nrecord000138: alpha beta gamma delta epsilon zeta eta theta.\nrecord000139: alpha beta gamma delta epsilon zeta eta theta.\nrecord000140: alpha beta gamma delta epsilon zeta eta theta.\nrecord000141: alpha beta gamma delta epsilon zeta eta theta.\nrecord000142: alpha beta gamma delta epsilon zeta eta theta.\nrecord000143: alpha beta gamma delta epsilon zeta eta theta.\nrecord000144: alpha beta gamma delta epsilon zeta eta theta.\nrecord000145: alpha beta gamma delta epsilon zeta eta 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theta.\nrecord000162: alpha beta gamma delta epsilon zeta eta theta.\nrecord000163: alpha beta gamma delta epsilon zeta eta theta.\nrecord000164: alpha beta gamma delta epsilon zeta eta theta.\nrecord000165: alpha beta gamma delta epsilon zeta eta theta.\nrecord000166: alpha beta gamma delta epsilon zeta eta theta.\nrecord000167: alpha beta gamma delta epsilon zeta eta theta.\nrecord000168: alpha beta gamma delta epsilon zeta eta theta.\nrecord000169: alpha beta gamma delta epsilon zeta eta theta.\nrecord000170: alpha beta gamma delta epsilon zeta eta theta.\nrecord000171: alpha beta gamma delta epsilon zeta eta theta.\nrecord000172: alpha beta gamma delta epsilon zeta eta theta.\nrecord000173: alpha beta gamma delta epsilon zeta eta theta.\nrecord000174: alpha beta gamma delta epsilon zeta eta theta.\nrecord000175: alpha beta gamma delta epsilon zeta eta theta.\nrecord000176: alpha beta gamma delta epsilon zeta eta theta.\nrecord000177: alpha beta gamma delta epsilon zeta eta theta.\nrecord000178: alpha beta gamma delta epsilon zeta eta theta.\nrecord000179: alpha beta gamma delta epsilon zeta eta theta.\nrecord000180: alpha beta gamma delta epsilon zeta eta theta.\nrecord000181: alpha beta gamma delta epsilon zeta eta theta.\nrecord000182: alpha beta gamma delta epsilon zeta eta theta.\nrecord000183: alpha beta gamma delta epsilon zeta eta theta.\nrecord000184: alpha beta gamma delta epsilon zeta eta theta.\nrecord000185: alpha beta gamma delta epsilon zeta eta theta.\nrecord000186: alpha beta gamma delta epsilon zeta eta theta.\nrecord000187: alpha beta gamma delta epsilon zeta eta theta.\nrecord000188: alpha beta gamma delta epsilon zeta eta theta.\nrecord000189: alpha beta gamma delta epsilon zeta eta theta.\nrecord000190: alpha beta gamma delta epsilon zeta eta theta.\nrecord000191: alpha beta gamma delta epsilon zeta eta theta.\nrecord000192: alpha beta gamma delta epsilon zeta eta theta.\nrecord000193: alpha beta gamma delta epsilon zeta eta theta.\nrecord000194: alpha beta gamma delta epsilon zeta eta theta.\nrecord000195: alpha beta gamma delta epsilon zeta eta theta.\nrecord000196: alpha beta gamma delta epsilon zeta eta theta.\nrecord000197: alpha beta gamma delta epsilon zeta eta theta.\nrecord000198: alpha beta gamma delta epsilon zeta eta theta.\nrecord000199: alpha beta gamma delta epsilon zeta eta theta.\nrecord000200: alpha beta gamma delta epsilon zeta eta theta.\nrecord000201: alpha beta gamma delta epsilon zeta eta theta.\nrecord000202: alpha beta gamma delta epsilon zeta eta theta.\nrecord000203: alpha beta gamma delta epsilon zeta eta theta.\nrecord000204: alpha beta gamma delta epsilon zeta eta theta.\nrecord000205: alpha beta gamma delta epsilon zeta eta theta.\nrecord000206: alpha beta gamma delta epsilon zeta eta theta.\nrecord000207: alpha beta gamma delta epsilon zeta eta theta.\nrecord000208: alpha beta gamma delta epsilon zeta eta theta.\nrecord000209: alpha beta gamma delta epsilon zeta eta theta.\nrecord000210: alpha beta gamma delta epsilon zeta eta theta.\nrecord000211: alpha beta gamma delta epsilon zeta eta theta.\nSummarize the structure of these records and explain how to look up a record by its ID."}], "tools": null, "final_answer": "Each record has a simple, uniform structure:\n\n```text\nrecord000001: alpha beta gamma delta epsilon zeta eta theta.\n```\n\nStructure:\n\n```text\nrecordID: fieldName1 fieldName2 fieldName3 fieldName4 fieldName5 fieldName6 fieldName7 fieldName8.\n```\n\nMore specifically:\n\n```text\nrecordNNNNNN: alpha beta gamma delta epsilon zeta eta theta.\n```\n\n- `recordNNNNNN` is the record ID.\n- The ID uses the prefix `record` followed by a six-digit, zero-padded number:\n - `record000001`\n - `record000010`\n - `record000155`\n- The colon separates the record ID from the record contents.\n- The contents are always the same eight words:\n - `alpha`\n - `beta`\n - `gamma`\n - `delta`\n - `epsilon`\n - `zeta`\n - `eta`\n - `theta`\n- Each record ends with a period.\n- The dataset contains 211 records, from `record000001` through `record000211`.\n\nExample record:\n\n```text\nrecord000155: alpha beta gamma delta epsilon zeta eta theta.\n```\n\nTo look up a record by its ID, search for the exact ID prefix at the beginning of the line, followed by a colon.\n\nFor example, to find record `record000155`, look for:\n\n```text\nrecord000155:\n```\n\nThe matching line would be:\n\n```text\nrecord000", "reasoning": "We need answer user's request. User provided many records, identical pattern, asks: \"Summarize the structure of these records and explain how to look up a record by its ID.\" Need final answer concise but detailed. Need likely mention each line has record ID format recordNNNNNN: followed by eight fields alpha...theta. IDs zero-padded six digits sequential. To look up by ID: exact match on prefix or parse before colon, e.g. record000155 returns that line; could use grep/awk. Need maybe note all records same payload, 211 records. Need perhaps include examples command. 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theta.\nrecord000450: alpha beta gamma delta epsilon zeta eta theta.\nrecord000451: alpha beta gamma delta epsilon zeta eta theta.\nrecord000452: alpha beta gamma delta epsilon zeta eta theta.\nrecord000453: alpha beta gamma delta epsilon zeta eta theta.\nrecord000454: alpha beta gamma delta epsilon zeta eta theta.\nrecord000455: alpha beta gamma delta epsilon zeta eta theta.\nrecord000456: alpha beta gamma delta epsilon zeta eta theta.\nrecord000457: alpha beta gamma delta epsilon zeta eta theta.\nrecord000458: alpha beta gamma delta epsilon zeta eta theta.\nrecord000459: alpha beta gamma delta epsilon zeta eta theta.\nrecord000460: alpha beta gamma delta epsilon zeta eta theta.\nrecord000461: alpha beta gamma delta epsilon zeta eta theta.\nrecord000462: alpha beta gamma delta epsilon zeta eta theta.\nrecord000463: alpha beta gamma delta epsilon zeta eta theta.\nrecord000464: alpha beta gamma delta epsilon zeta eta theta.\nrecord000465: alpha beta gamma delta epsilon zeta eta theta.\nrecord000466: alpha beta gamma delta epsilon zeta eta theta.\nrecord000467: alpha beta gamma delta epsilon zeta eta theta.\nrecord000468: alpha beta gamma delta epsilon zeta eta theta.\nrecord000469: alpha beta gamma delta epsilon zeta eta theta.\nrecord000470: alpha beta gamma delta epsilon zeta eta theta.\nrecord000471: alpha beta gamma delta epsilon zeta eta theta.\nrecord000472: alpha beta gamma delta epsilon zeta eta theta.\nrecord000473: alpha beta gamma delta epsilon zeta eta theta.\nrecord000474: alpha beta gamma delta epsilon zeta eta theta.\nrecord000475: alpha beta gamma delta epsilon zeta eta theta.\nrecord000476: alpha beta gamma delta epsilon zeta eta theta.\nrecord000477: alpha beta gamma delta epsilon zeta eta theta.\nrecord000478: alpha beta gamma delta epsilon zeta eta theta.\nrecord000479: alpha beta gamma delta epsilon zeta eta theta.\nrecord000480: alpha beta gamma delta epsilon zeta eta theta.\nrecord000481: alpha beta gamma delta epsilon zeta eta theta.\nrecord000482: alpha beta gamma delta epsilon zeta eta theta.\nrecord000483: alpha beta gamma delta epsilon zeta eta theta.\nrecord000484: alpha beta gamma delta epsilon zeta eta theta.\nrecord000485: alpha beta gamma delta epsilon zeta eta theta.\nrecord000486: alpha beta gamma delta epsilon zeta eta theta.\nrecord000487: alpha beta gamma delta epsilon zeta eta theta.\nrecord000488: alpha beta gamma delta epsilon zeta eta theta.\nrecord000489: alpha beta gamma delta epsilon zeta eta theta.\nrecord000490: alpha beta gamma delta epsilon zeta eta theta.\nrecord000491: alpha beta gamma delta epsilon zeta eta theta.\nrecord000492: alpha beta gamma delta epsilon zeta eta theta.\nrecord000493: alpha beta gamma delta epsilon zeta eta theta.\nrecord000494: alpha beta gamma delta epsilon zeta eta theta.\nrecord000495: alpha beta gamma delta epsilon zeta eta theta.\nrecord000496: alpha beta gamma delta epsilon zeta eta theta.\nrecord000497: alpha beta gamma delta epsilon zeta eta theta.\nrecord000498: alpha beta gamma delta epsilon zeta eta theta.\nrecord000499: alpha beta gamma delta epsilon zeta eta theta.\nrecord000500: alpha beta gamma delta epsilon zeta eta theta.\nrecord000501: alpha beta gamma delta epsilon zeta eta theta.\nrecord000502: alpha beta gamma delta epsilon zeta eta theta.\nrecord000503: alpha beta gamma delta epsilon zeta eta theta.\nrecord000504: alpha beta gamma delta epsilon zeta eta theta.\nrecord000505: alpha beta gamma delta epsilon zeta eta theta.\nrecord000506: alpha beta gamma delta epsilon zeta eta theta.\nrecord000507: alpha beta gamma delta epsilon zeta eta theta.\nrecord000508: alpha beta gamma delta epsilon zeta eta theta.\nrecord000509: alpha beta gamma delta epsilon zeta eta theta.\nrecord000510: alpha beta gamma delta epsilon zeta eta theta.\nrecord000511: alpha beta gamma delta epsilon zeta eta theta.\nrecord000512: alpha beta gamma delta epsilon zeta eta theta.\nrecord000513: alpha beta gamma delta epsilon zeta eta theta.\nrecord000514: alpha beta gamma delta epsilon zeta eta theta.\nrecord000515: alpha beta gamma delta epsilon zeta eta theta.\nrecord000516: alpha beta gamma delta epsilon zeta eta theta.\nrecord000517: alpha beta gamma delta epsilon zeta eta theta.\nrecord000518: alpha beta gamma delta epsilon zeta eta theta.\nrecord000519: alpha beta gamma delta epsilon zeta eta theta.\nrecord000520: alpha beta gamma delta epsilon zeta eta theta.\nrecord000521: alpha beta gamma delta epsilon zeta eta theta.\nrecord000522: alpha beta gamma delta epsilon zeta eta theta.\nrecord000523: alpha beta gamma delta epsilon zeta eta theta.\nrecord000524: alpha beta gamma delta epsilon zeta eta theta.\nrecord000525: alpha beta gamma delta epsilon zeta eta theta.\nrecord000526: alpha beta gamma delta epsilon zeta eta theta.\nrecord000527: alpha beta gamma delta epsilon zeta eta theta.\nrecord000528: alpha beta gamma delta epsilon zeta eta theta.\nrecord000529: alpha beta gamma delta epsilon zeta eta theta.\nrecord000530: alpha beta gamma delta epsilon zeta eta theta.\nrecord000531: alpha beta gamma delta epsilon zeta eta theta.\nrecord000532: alpha beta gamma delta epsilon zeta eta theta.\nrecord000533: alpha beta gamma delta epsilon zeta eta theta.\nrecord000534: alpha beta gamma delta epsilon zeta eta theta.\nrecord000535: alpha beta gamma delta epsilon zeta eta theta.\nrecord000536: alpha beta gamma delta epsilon zeta eta theta.\nrecord000537: alpha beta gamma delta epsilon zeta eta theta.\nrecord000538: alpha beta gamma delta epsilon zeta eta theta.\nrecord000539: alpha beta gamma delta epsilon zeta eta theta.\nrecord000540: alpha beta gamma delta epsilon zeta eta theta.\nrecord000541: alpha beta gamma delta epsilon zeta eta theta.\nrecord000542: alpha beta gamma delta epsilon zeta eta theta.\nrecord000543: alpha beta gamma delta epsilon zeta eta theta.\nrecord000544: alpha beta gamma delta epsilon zeta eta theta.\nrecord000545: alpha beta gamma delta epsilon zeta eta theta.\nrecord000546: alpha beta gamma delta epsilon zeta eta theta.\nrecord000547: alpha beta gamma delta epsilon zeta eta theta.\nrecord000548: alpha beta gamma delta epsilon zeta eta theta.\nrecord000549: alpha beta gamma delta epsilon zeta eta theta.\nrecord000550: alpha beta gamma delta epsilon zeta eta theta.\nrecord000551: alpha beta gamma delta epsilon zeta eta theta.\nrecord000552: alpha beta gamma delta epsilon zeta eta theta.\nrecord000553: alpha beta gamma delta epsilon zeta eta theta.\nrecord000554: alpha beta gamma delta epsilon zeta eta theta.\nrecord000555: alpha beta gamma delta epsilon zeta eta theta.\nrecord000556: alpha beta gamma delta epsilon zeta eta theta.\nrecord000557: alpha beta gamma delta epsilon zeta eta theta.\nrecord000558: alpha beta gamma delta epsilon zeta eta theta.\nrecord000559: alpha beta gamma delta epsilon zeta eta theta.\nrecord000560: alpha beta gamma delta epsilon zeta eta theta.\nrecord000561: alpha beta gamma delta epsilon zeta eta theta.\nrecord000562: alpha beta gamma delta epsilon zeta eta theta.\nrecord000563: alpha beta gamma delta epsilon zeta eta theta.\nrecord000564: alpha beta gamma delta epsilon zeta eta theta.\nrecord000565: alpha beta gamma delta epsilon zeta eta theta.\nrecord000566: alpha beta gamma delta epsilon zeta eta theta.\nrecord000567: alpha beta gamma delta epsilon zeta eta theta.\nrecord000568: alpha beta gamma delta epsilon zeta eta theta.\nrecord000569: alpha beta gamma delta epsilon zeta eta theta.\nrecord000570: alpha beta gamma delta epsilon zeta eta theta.\nrecord000571: alpha beta gamma delta epsilon zeta eta theta.\nrecord000572: alpha beta gamma delta epsilon zeta eta theta.\nrecord000573: alpha beta gamma delta epsilon zeta eta theta.\nrecord000574: alpha beta gamma delta epsilon zeta eta theta.\nrecord000575: alpha beta gamma delta epsilon zeta eta theta.\nrecord000576: alpha beta gamma delta epsilon zeta eta theta.\nrecord000577: alpha beta gamma delta epsilon zeta eta theta.\nrecord000578: alpha beta gamma delta epsilon zeta eta theta.\nrecord000579: alpha beta gamma delta epsilon zeta eta theta.\nrecord000580: alpha beta gamma delta epsilon zeta eta theta.\nrecord000581: alpha beta gamma delta epsilon zeta eta theta.\nrecord000582: alpha beta gamma delta epsilon zeta eta theta.\nrecord000583: alpha beta gamma delta epsilon zeta eta theta.\nrecord000584: alpha beta gamma delta epsilon zeta eta theta.\nrecord000585: alpha beta gamma delta epsilon zeta eta theta.\nrecord000586: alpha beta gamma delta epsilon zeta eta theta.\nrecord000587: alpha beta gamma delta epsilon zeta eta theta.\nrecord000588: alpha beta gamma delta epsilon zeta eta theta.\nrecord000589: alpha beta gamma delta epsilon zeta eta theta.\nrecord000590: alpha beta gamma delta epsilon zeta eta theta.\nrecord000591: alpha beta gamma delta epsilon zeta eta theta.\nrecord000592: alpha beta gamma delta epsilon zeta eta theta.\nrecord000593: alpha beta gamma delta epsilon zeta eta theta.\nrecord000594: alpha beta gamma delta epsilon zeta eta theta.\nrecord000595: alpha beta gamma delta epsilon zeta eta theta.\nrecord000596: alpha beta gamma delta epsilon zeta eta theta.\nrecord000597: alpha beta gamma delta epsilon zeta eta theta.\nrecord000598: alpha beta gamma delta epsilon zeta eta theta.\nrecord000599: alpha beta gamma delta epsilon zeta eta theta.\nrecord000600: alpha beta gamma delta epsilon zeta eta theta.\nrecord000601: alpha beta gamma delta epsilon zeta eta theta.\nrecord000602: alpha beta gamma delta epsilon zeta eta theta.\nrecord000603: alpha beta gamma delta epsilon zeta eta theta.\nrecord000604: alpha beta gamma delta epsilon zeta eta theta.\nrecord000605: alpha beta gamma delta epsilon zeta eta theta.\nrecord000606: alpha beta gamma delta epsilon zeta eta theta.\nrecord000607: alpha beta gamma delta epsilon zeta eta theta.\nrecord000608: alpha beta gamma delta epsilon zeta eta theta.\nrecord000609: alpha beta gamma delta epsilon zeta eta theta.\nrecord000610: alpha beta gamma delta epsilon zeta eta theta.\nrecord000611: alpha beta gamma delta epsilon zeta eta theta.\nrecord000612: alpha beta gamma delta epsilon zeta eta theta.\nrecord000613: alpha beta gamma delta epsilon zeta eta theta.\nrecord000614: alpha beta gamma delta epsilon zeta eta theta.\nrecord000615: alpha beta gamma delta epsilon zeta eta theta.\nrecord000616: alpha beta gamma delta epsilon zeta eta theta.\nrecord000617: alpha beta gamma delta epsilon zeta eta theta.\nrecord000618: alpha beta gamma delta epsilon zeta eta theta.\nrecord000619: alpha beta gamma delta epsilon zeta eta theta.\nrecord000620: alpha beta gamma delta epsilon zeta eta theta.\nrecord000621: alpha beta gamma delta epsilon zeta eta theta.\nrecord000622: alpha beta gamma delta epsilon zeta eta theta.\nrecord000623: alpha beta gamma delta epsilon zeta eta theta.\nrecord000624: alpha beta gamma delta epsilon zeta eta theta.\nrecord000625: alpha beta gamma delta epsilon zeta eta theta.\nrecord000626: alpha beta gamma delta epsilon zeta eta theta.\nrecord000627: alpha beta gamma delta epsilon zeta eta theta.\nrecord000628: alpha beta gamma delta epsilon zeta eta theta.\nrecord000629: alpha beta gamma delta epsilon zeta eta theta.\nrecord000630: alpha beta gamma delta epsilon zeta eta theta.\nrecord000631: alpha beta gamma delta epsilon zeta eta theta.\nrecord000632: alpha beta gamma delta epsilon zeta eta theta.\nrecord000633: alpha beta gamma delta epsilon zeta eta theta.\nrecord000634: alpha beta gamma delta epsilon zeta eta theta.\nrecord000635: alpha beta gamma delta epsilon zeta eta theta.\nrecord000636: alpha beta gamma delta epsilon zeta eta theta.\nrecord000637: alpha beta gamma delta epsilon zeta eta theta.\nrecord000638: alpha beta gamma delta epsilon zeta eta theta.\nrecord000639: alpha beta gamma delta epsilon zeta eta theta.\nrecord000640: alpha beta gamma delta epsilon zeta eta theta.\nrecord000641: alpha beta gamma delta epsilon zeta eta theta.\nrecord000642: alpha beta gamma delta epsilon zeta eta theta.\nrecord000643: alpha beta gamma delta epsilon zeta eta theta.\nrecord000644: alpha beta gamma delta epsilon zeta eta theta.\nrecord000645: alpha beta gamma delta epsilon zeta eta theta.\nrecord000646: alpha beta gamma delta epsilon zeta eta theta.\nrecord000647: alpha beta gamma delta epsilon zeta eta theta.\nrecord000648: alpha beta gamma delta epsilon zeta eta theta.\nrecord000649: alpha beta gamma delta epsilon zeta eta theta.\nrecord000650: alpha beta gamma delta epsilon zeta eta theta.\nrecord000651: alpha beta gamma delta epsilon zeta eta theta.\nrecord000652: alpha beta gamma delta epsilon zeta eta theta.\nrecord000653: alpha beta gamma delta epsilon zeta eta theta.\nrecord000654: alpha beta gamma delta epsilon zeta eta theta.\nrecord000655: alpha beta gamma delta epsilon zeta eta theta.\nrecord000656: alpha beta gamma delta epsilon zeta eta theta.\nrecord000657: alpha beta gamma delta epsilon zeta eta theta.\nrecord000658: alpha beta gamma delta epsilon zeta eta theta.\nrecord000659: alpha beta gamma delta epsilon zeta eta theta.\nrecord000660: alpha beta gamma delta epsilon zeta eta theta.\nrecord000661: alpha beta gamma delta epsilon zeta eta theta.\nrecord000662: alpha beta gamma delta epsilon zeta eta theta.\nrecord000663: alpha beta gamma delta epsilon zeta eta theta.\nrecord000664: alpha beta gamma delta epsilon zeta eta theta.\nrecord000665: alpha beta gamma delta epsilon zeta eta theta.\nrecord000666: alpha beta gamma delta epsilon zeta eta theta.\nrecord000667: alpha beta gamma delta epsilon zeta eta theta.\nrecord000668: alpha beta gamma delta epsilon zeta eta theta.\nrecord000669: alpha beta gamma delta epsilon zeta eta theta.\nrecord000670: alpha beta gamma delta epsilon zeta eta theta.\nrecord000671: alpha beta gamma delta epsilon zeta eta theta.\nrecord000672: alpha beta gamma delta epsilon zeta eta theta.\nrecord000673: alpha beta gamma delta epsilon zeta eta theta.\nrecord000674: alpha beta gamma delta epsilon zeta eta theta.\nrecord000675: alpha beta gamma delta epsilon zeta eta theta.\nrecord000676: alpha beta gamma delta epsilon zeta eta theta.\nrecord000677: alpha beta gamma delta epsilon zeta eta theta.\nrecord000678: alpha beta gamma delta epsilon zeta eta theta.\nrecord000679: alpha beta gamma delta epsilon zeta eta theta.\nrecord000680: alpha beta gamma delta epsilon zeta eta theta.\nrecord000681: alpha beta gamma delta epsilon zeta eta theta.\nrecord000682: alpha beta gamma delta epsilon zeta eta theta.\nrecord000683: alpha beta gamma delta epsilon zeta eta theta.\nrecord000684: alpha beta gamma delta epsilon zeta eta theta.\nrecord000685: alpha beta gamma delta epsilon zeta eta theta.\nrecord000686: alpha beta gamma delta epsilon zeta eta theta.\nrecord000687: alpha beta gamma delta epsilon zeta eta theta.\nrecord000688: alpha beta gamma delta epsilon zeta eta theta.\nrecord000689: alpha beta gamma delta epsilon zeta eta theta.\nrecord000690: alpha beta gamma delta epsilon zeta eta theta.\nrecord000691: alpha beta gamma delta epsilon zeta eta theta.\nrecord000692: alpha beta gamma delta epsilon zeta eta theta.\nrecord000693: alpha beta gamma delta epsilon zeta eta theta.\nrecord000694: alpha beta gamma delta epsilon zeta eta theta.\nrecord000695: alpha beta gamma delta epsilon zeta eta theta.\nrecord000696: alpha beta gamma delta epsilon zeta eta theta.\nrecord000697: alpha beta gamma delta epsilon zeta eta theta.\nrecord000698: alpha beta gamma delta epsilon zeta eta theta.\nrecord000699: alpha beta gamma delta epsilon zeta eta theta.\nrecord000700: alpha beta gamma delta epsilon zeta eta theta.\nrecord000701: alpha beta gamma delta epsilon zeta eta theta.\nrecord000702: alpha beta gamma delta epsilon zeta eta theta.\nrecord000703: alpha beta gamma delta epsilon zeta eta theta.\nrecord000704: alpha beta gamma delta epsilon zeta eta theta.\nrecord000705: alpha beta gamma delta epsilon zeta eta theta.\nrecord000706: alpha beta gamma delta epsilon zeta eta theta.\nrecord000707: alpha beta gamma delta epsilon zeta eta theta.\nrecord000708: alpha beta gamma delta epsilon zeta eta theta.\nrecord000709: alpha beta gamma delta epsilon zeta eta theta.\nrecord000710: alpha beta gamma delta epsilon zeta eta theta.\nrecord000711: alpha beta gamma delta epsilon zeta eta theta.\nrecord000712: alpha beta gamma delta epsilon zeta eta theta.\nrecord000713: alpha beta gamma delta epsilon zeta eta theta.\nrecord000714: alpha beta gamma delta epsilon zeta eta theta.\nrecord000715: alpha beta gamma delta epsilon zeta eta theta.\nrecord000716: alpha beta gamma delta epsilon zeta eta theta.\nrecord000717: alpha beta gamma delta epsilon zeta eta theta.\nrecord000718: alpha beta gamma delta epsilon zeta eta theta.\nrecord000719: alpha beta gamma delta epsilon zeta eta theta.\nrecord000720: alpha beta gamma delta epsilon zeta eta theta.\nrecord000721: alpha beta gamma delta epsilon zeta eta theta.\nrecord000722: alpha beta gamma delta epsilon zeta eta theta.\nrecord000723: alpha beta gamma delta epsilon zeta eta theta.\nrecord000724: alpha beta gamma delta epsilon zeta eta theta.\nrecord000725: alpha beta gamma delta epsilon zeta eta theta.\nrecord000726: alpha beta gamma delta epsilon zeta eta theta.\nrecord000727: alpha beta gamma delta epsilon zeta eta theta.\nrecord000728: alpha beta gamma delta epsilon zeta eta theta.\nrecord000729: alpha beta gamma delta epsilon zeta eta theta.\nrecord000730: alpha beta gamma delta epsilon zeta eta theta.\nrecord000731: alpha beta gamma delta epsilon zeta eta theta.\nrecord000732: alpha beta gamma delta epsilon zeta eta theta.\nrecord000733: alpha beta gamma delta epsilon zeta eta theta.\nrecord000734: alpha beta gamma delta epsilon zeta eta theta.\nrecord000735: alpha beta gamma delta epsilon zeta eta theta.\nrecord000736: alpha beta gamma delta epsilon zeta eta theta.\nrecord000737: alpha beta gamma delta epsilon zeta eta theta.\nrecord000738: alpha beta gamma delta epsilon zeta eta theta.\nrecord000739: alpha beta gamma delta epsilon zeta eta theta.\nrecord000740: alpha beta gamma delta epsilon zeta eta theta.\nrecord000741: alpha beta gamma delta epsilon zeta eta theta.\nrecord000742: alpha beta gamma delta epsilon zeta eta theta.\nrecord000743: alpha beta gamma delta epsilon zeta eta theta.\nrecord000744: alpha beta gamma delta epsilon zeta eta theta.\nrecord000745: alpha beta gamma delta epsilon zeta eta theta.\nrecord000746: alpha beta gamma delta epsilon zeta eta theta.\nrecord000747: alpha beta gamma delta epsilon zeta eta theta.\nrecord000748: alpha beta gamma delta epsilon zeta eta theta.\nrecord000749: alpha beta gamma delta epsilon zeta eta theta.\nrecord000750: alpha beta gamma delta epsilon zeta eta theta.\nrecord000751: alpha beta gamma delta epsilon zeta eta theta.\nrecord000752: alpha beta gamma delta epsilon zeta eta theta.\nrecord000753: alpha beta gamma delta epsilon zeta eta theta.\nrecord000754: alpha beta gamma delta epsilon zeta eta theta.\nrecord000755: alpha beta gamma delta epsilon zeta eta theta.\nrecord000756: alpha beta gamma delta epsilon zeta eta theta.\nrecord000757: alpha beta gamma delta epsilon zeta eta theta.\nrecord000758: alpha beta gamma delta epsilon zeta eta theta.\nrecord000759: alpha beta gamma delta epsilon zeta eta theta.\nrecord000760: alpha beta gamma delta epsilon zeta eta theta.\nrecord000761: alpha beta gamma delta epsilon zeta eta theta.\nrecord000762: alpha beta gamma delta epsilon zeta eta theta.\nrecord000763: alpha beta gamma delta epsilon zeta eta theta.\nrecord000764: alpha beta gamma delta epsilon zeta eta theta.\nrecord000765: alpha beta gamma delta epsilon zeta eta theta.\nrecord000766: alpha beta gamma delta epsilon zeta eta theta.\nrecord000767: alpha beta gamma delta epsilon zeta eta theta.\nrecord000768: alpha beta gamma delta epsilon zeta eta theta.\nrecord000769: alpha beta gamma delta epsilon zeta eta theta.\nrecord000770: alpha beta gamma delta epsilon zeta eta theta.\nrecord000771: alpha beta gamma delta epsilon zeta eta theta.\nrecord000772: alpha beta gamma delta epsilon zeta eta theta.\nrecord000773: alpha beta gamma delta epsilon zeta eta theta.\nrecord000774: alpha beta gamma delta epsilon zeta eta theta.\nrecord000775: alpha beta gamma delta epsilon zeta eta theta.\nrecord000776: alpha beta gamma delta epsilon zeta eta theta.\nrecord000777: alpha beta gamma delta epsilon zeta eta theta.\nrecord000778: alpha beta gamma delta epsilon zeta eta theta.\nrecord000779: alpha beta gamma delta epsilon zeta eta theta.\nrecord000780: alpha beta gamma delta epsilon zeta eta theta.\nrecord000781: alpha beta gamma delta epsilon zeta eta theta.\nrecord000782: alpha beta gamma delta epsilon zeta eta theta.\nrecord000783: alpha beta gamma delta epsilon zeta eta theta.\nrecord000784: alpha beta gamma delta epsilon zeta eta theta.\nrecord000785: alpha beta gamma delta epsilon zeta eta theta.\nrecord000786: alpha beta gamma delta epsilon zeta eta theta.\nrecord000787: alpha beta gamma delta epsilon zeta eta theta.\nrecord000788: alpha beta gamma delta epsilon zeta eta theta.\nrecord000789: alpha beta gamma delta epsilon zeta eta theta.\nrecord000790: alpha beta gamma delta epsilon zeta eta theta.\nrecord000791: alpha beta gamma delta epsilon zeta eta theta.\nrecord000792: alpha beta gamma delta epsilon zeta eta theta.\nrecord000793: alpha beta gamma delta epsilon zeta eta theta.\nrecord000794: alpha beta gamma delta epsilon zeta eta theta.\nrecord000795: alpha beta gamma delta epsilon zeta eta theta.\nrecord000796: alpha beta gamma delta epsilon zeta eta theta.\nrecord000797: alpha beta gamma delta epsilon zeta eta theta.\nrecord000798: alpha beta gamma delta epsilon zeta eta theta.\nrecord000799: alpha beta gamma delta epsilon zeta eta theta.\nrecord000800: alpha beta gamma delta epsilon zeta eta theta.\nrecord000801: alpha beta gamma delta epsilon zeta eta theta.\nrecord000802: alpha beta gamma delta epsilon zeta eta theta.\nrecord000803: alpha beta gamma delta epsilon zeta eta theta.\nrecord000804: alpha beta gamma delta epsilon zeta eta theta.\nrecord000805: alpha beta gamma delta epsilon zeta eta theta.\nrecord000806: alpha beta gamma delta epsilon zeta eta theta.\nrecord000807: alpha beta gamma delta epsilon zeta eta theta.\nrecord000808: alpha beta gamma delta epsilon zeta eta theta.\nrecord000809: alpha beta gamma delta epsilon zeta eta theta.\nrecord000810: alpha beta gamma delta epsilon zeta eta theta.\nrecord000811: alpha beta gamma delta epsilon zeta eta theta.\nrecord000812: alpha beta gamma delta epsilon zeta eta theta.\nrecord000813: alpha beta gamma delta epsilon zeta eta theta.\nrecord000814: alpha beta gamma delta epsilon zeta eta theta.\nrecord000815: alpha beta gamma delta epsilon zeta eta theta.\nrecord000816: alpha beta gamma delta epsilon zeta eta theta.\nrecord000817: alpha beta gamma delta epsilon zeta eta theta.\nrecord000818: alpha beta gamma delta epsilon zeta eta theta.\nrecord000819: alpha beta gamma delta epsilon zeta eta theta.\nrecord000820: alpha beta gamma delta epsilon zeta eta theta.\nrecord000821: alpha beta gamma delta epsilon zeta eta theta.\nrecord000822: alpha beta gamma delta epsilon zeta eta theta.\nrecord000823: alpha beta gamma delta epsilon zeta eta theta.\nrecord000824: alpha beta gamma delta epsilon zeta eta theta.\nrecord000825: alpha beta gamma delta epsilon zeta eta theta.\nrecord000826: alpha beta gamma delta epsilon zeta eta theta.\nrecord000827: alpha beta gamma delta epsilon zeta eta theta.\nrecord000828: alpha beta gamma delta epsilon zeta eta theta.\nrecord000829: alpha beta gamma delta epsilon zeta eta theta.\nrecord000830: alpha beta gamma delta epsilon zeta eta theta.\nrecord000831: alpha beta gamma delta epsilon zeta eta theta.\nrecord000832: alpha beta gamma delta epsilon zeta eta theta.\nrecord000833: alpha beta gamma delta epsilon zeta eta theta.\nrecord000834: alpha beta gamma delta epsilon zeta eta theta.\nrecord000835: alpha beta gamma delta epsilon zeta eta theta.\nrecord000836: alpha beta gamma delta epsilon zeta eta theta.\nrecord000837: alpha beta gamma delta epsilon zeta eta theta.\nrecord000838: alpha beta gamma delta epsilon zeta eta theta.\nrecord000839: alpha beta gamma delta epsilon zeta eta theta.\nrecord000840: alpha beta gamma delta epsilon zeta eta theta.\nrecord000841: alpha beta gamma delta epsilon zeta eta theta.\nrecord000842: alpha beta gamma delta epsilon zeta eta theta.\nrecord000843: alpha beta gamma delta epsilon zeta eta theta.\nrecord000844: alpha beta gamma delta epsilon zeta eta theta.\nrecord000845: alpha beta gamma delta epsilon zeta eta theta.\nrecord000846: alpha beta gamma delta epsilon zeta eta theta.\nrecord000847: alpha beta gamma delta epsilon zeta eta theta.\nrecord000848: alpha beta gamma delta epsilon zeta eta theta.\nrecord000849: alpha beta gamma delta epsilon zeta eta theta.\nrecord000850: alpha beta gamma delta epsilon zeta eta theta.\nrecord000851: alpha beta gamma delta epsilon zeta eta theta.\nrecord000852: alpha beta gamma delta epsilon zeta eta theta.\nrecord000853: alpha beta gamma delta epsilon zeta eta theta.\nrecord000854: alpha beta gamma delta epsilon zeta eta theta.\nrecord000855: alpha beta gamma delta epsilon zeta eta theta.\nrecord000856: alpha beta gamma delta epsilon zeta eta theta.\nrecord000857: alpha beta gamma delta epsilon zeta eta theta.\nrecord000858: alpha beta gamma delta epsilon zeta eta theta.\nSummarize the structure of these records and explain how to look up a record by its ID."}], "tools": null, "final_answer": "Each record has the same simple structure:\n\n```text\nrecordNNNNNN: alpha beta gamma delta epsilon zeta eta theta.\n```\n\n- **ID**: `recordNNNNNN`, where `NNNNNN` is a 6-digit zero-padded number.\n- **Separator**: `:` and a space.\n- **Payload/content**: the fixed text `alpha beta gamma delta epsilon zeta eta theta.`\n- **Sequence**: IDs run consecutively from `record000001` upward; the visible sample goes through `record000858`.\n- **Data value**: every ID shown maps to the same payload.\n\nTo look up a record by ID, find the line whose ID matches exactly. For example, for `record000042`:\n\n```text\nrecord000042: alpha beta gamma delta epsilon zeta eta theta.\n```\n\nIf stored in an ordered list or array with the first record at index 0, the record number can be converted to an index as:\n\n```text\nindex = numeric_ID - 1\n```\n\nSo:\n\n```text\nrecord000001 -> index 0\nrecord000042 -> index 41\nrecord000858 -> index 857\n```", "reasoning": "We need answer user. User provided a huge list of records 1-858, each same text: recordXXXXXX: alpha beta gamma delta epsilon zeta eta theta. Then asks: Summarize the structure of these records and explain how to look up a record by its ID.\n\nWe need final answer concise but thorough. Need mention structure: each record is a line, ID label record followed by 6 digits zero-padded, colon, then payload fixed sequence of eight Greek letters. IDs sequential from 000001 to 000858 (at least in sample). Lookup by ID: parse line matching exact recordID: prefix or index in list/array, e.g. construct key record000042 and retrieve corresponding line. Could mention if stored in array index ID-1. Need maybe mention if ID outside range not present. Since data repeated, content doesn't vary by ID.\n\nNeed ensure not too much. Could provide examples.\n", "tool_calls": [], "finish_reason": "stop", "usage": {"prompt_tokens": 16387, "completion_tokens": 489, "total_tokens": 16876, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 16387, "prompt_ms": 2702.8, "prompt_per_token_ms": 0.165, "prompt_per_second": 6063.0, "predicted_n": 489, "predicted_ms": 3536.9, "predicted_per_token_ms": 7.233, "predicted_per_second": 138.3, "draft_n": 423, "draft_n_accepted": 264}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 6.259451, "first_delta": {"offset_s": 2.730766, "kind": "reasoning"}, "first_answer_offset_s": 4.394802, "client_events": [[2.730766, "reasoning"], [2.750985, "reasoning"], [2.751011, "reasoning"], [2.751029, "reasoning"], [2.75107, "reasoning"], [2.76702, "reasoning"], [2.767047, "reasoning"], [2.779725, "reasoning"], [2.792369, "reasoning"], [2.801929, "reasoning"], [2.801955, "reasoning"], [2.801972, "reasoning"], [2.802011, "reasoning"], 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performance-short-r2]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table finds a value by using the key to compute an index, then looking in that “bucket” for the stored key/value pair.\n\n1. **Hash the key**: \n A hash function converts the key into a number.\n\n2. **Compute an index**: \n That number is mapped to a table index, often using modulo: \n `index = hash(key) % table_size`\n\n3. **Look up the bucket**: \n The table goes to that index and checks for the key.\n\n4. **Handle collisions**: \n A collision happens when two different keys hash to the same index. Common ways to handle collisions:\n - **Chaining**: each bucket stores a list of key/value pairs.\n - **Open addressing/probing**: if the slot is taken, search nearby slots.\n\n**Small example:**\n\nHash table size: 5 \nHash function: `hash(key) = key % 5`\n\nInsert:\n\n- `\"apple\" -> 10` \n hash(\"apple\") = 3 \n Store at index 3.\n\n- `\"banana\" -> 20` \n hash(\"banana\") = 3 \n Collision with \"apple\". If using chaining, index 3 now stores: \n `[(\"apple\", 10), (\"banana\", 20)]`\n\nTo find `\"banana\"`:\n\n1. Hash `\"banana\"` → 3.\n2. Go to index 3.\n3. Scan the list and find `\"banana\" -> 20`.\n\nSo a hash table finds values quickly by jumping directly to likely slots, then checking for collisions.", "reasoning": "We need answer user's request: \"Explain how a hash table finds a value, including collisions and one small example.\" Need produce final answer. Simple educational. Need likely concise but thorough. Cover hash function, bucket/index, key/value, search by hashing key, collisions, chaining/probing, rehash? small example. Ensure not overly complex.\n", "tool_calls": [], "finish_reason": "stop", "usage": {"prompt_tokens": 77, "completion_tokens": 419, "total_tokens": 496, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 77, "prompt_ms": 216.9, "prompt_per_token_ms": 2.817, "prompt_per_second": 355.0, "predicted_n": 419, "predicted_ms": 2689.8, "predicted_per_token_ms": 6.42, "predicted_per_second": 155.8, "draft_n": 398, "draft_n_accepted": 243}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 2.911121, "first_delta": {"offset_s": 0.232433, "kind": "reasoning"}, "first_answer_offset_s": 0.736698, "client_events": [[0.232433, "reasoning"], [0.250507, "reasoning"], [0.250551, "reasoning"], [0.250602, "reasoning"], [0.250652, "reasoning"], [0.257984, "reasoning"], [0.258036, "reasoning"], [0.258094, "reasoning"], [0.25815, "reasoning"], [0.274369, "reasoning"], [0.274419, "reasoning"], [0.274477, "reasoning"], [0.274545, "reasoning"], 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theta.\nrecord000190: alpha beta gamma delta epsilon zeta eta theta.\nrecord000191: alpha beta gamma delta epsilon zeta eta theta.\nrecord000192: alpha beta gamma delta epsilon zeta eta theta.\nrecord000193: alpha beta gamma delta epsilon zeta eta theta.\nrecord000194: alpha beta gamma delta epsilon zeta eta theta.\nrecord000195: alpha beta gamma delta epsilon zeta eta theta.\nrecord000196: alpha beta gamma delta epsilon zeta eta theta.\nrecord000197: alpha beta gamma delta epsilon zeta eta theta.\nrecord000198: alpha beta gamma delta epsilon zeta eta theta.\nrecord000199: alpha beta gamma delta epsilon zeta eta theta.\nrecord000200: alpha beta gamma delta epsilon zeta eta theta.\nrecord000201: alpha beta gamma delta epsilon zeta eta theta.\nrecord000202: alpha beta gamma delta epsilon zeta eta theta.\nrecord000203: alpha beta gamma delta epsilon zeta eta theta.\nrecord000204: alpha beta gamma delta epsilon zeta eta theta.\nrecord000205: alpha beta gamma delta epsilon zeta eta theta.\nrecord000206: alpha beta gamma delta epsilon zeta eta theta.\nrecord000207: alpha beta gamma delta epsilon zeta eta theta.\nrecord000208: alpha beta gamma delta epsilon zeta eta theta.\nrecord000209: alpha beta gamma delta epsilon zeta eta theta.\nrecord000210: alpha beta gamma delta epsilon zeta eta theta.\nrecord000211: alpha beta gamma delta epsilon zeta eta theta.\nSummarize the structure of these records and explain how to look up a record by its ID."}], "tools": null, "final_answer": "These records have a simple line-oriented structure:\n\n```text\nrecordID: field1 field2 field3 field4 field5 field6 field7 field8\n```\n\nExample:\n\n```text\nrecord000100: alpha beta gamma delta epsilon zeta eta theta\n```\n\n### Structure summary\n\nEach record consists of:\n\n1. **Record ID**\n - Format: `record` followed by a zero-padded numeric ID\n - Examples:\n - `record000001`\n - `record000100`\n - `record000211`\n\n2. **Separator**\n - A colon followed by a space: `: `\n\n3. **Record content**\n - A fixed sequence of eight word fields:\n - `alpha`\n - `beta`\n - `gamma`\n - `delta`\n - `epsilon`\n - `zeta`\n - `eta`\n - `theta`\n\nSo every record in the sample has the same payload:\n\n```text\nalpha beta gamma delta epsilon zeta eta theta\n```\n\n### How to look up a record by ID\n\nTo look up a record by its ID, treat the ID as the key and the text after", "reasoning": "We need answer user's request. User provided a long prompt with many records and asks: \"Summarize the structure of these records and explain how to look up a record by its ID.\" Need answer concise but detailed. Need maybe mention each line record followed by colon then fixed sequence Greek letters. IDs record000001 to record000211. Structure: zero-padded six-digit numeric ID, label, colon space, 8 tokens alpha...theta. Need lookup: parse ID string or pattern, exact match to record line, use map/index. Since all records identical payload, lookup by ID retrieves same content. Could explain steps: strip whitespace, split at first colon, key = left part, value = right part. Build dictionary: {record000001: 'alpha beta ... theta', ...}. To lookup record000175 returns value. Need maybe caution about padding and exact case. Need maybe mention if using line-based input. Final answer in English. Ensure not too verbose? desired 9, but user simple. 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theta.\nrecord000571: alpha beta gamma delta epsilon zeta eta theta.\nrecord000572: alpha beta gamma delta epsilon zeta eta theta.\nrecord000573: alpha beta gamma delta epsilon zeta eta theta.\nrecord000574: alpha beta gamma delta epsilon zeta eta theta.\nrecord000575: alpha beta gamma delta epsilon zeta eta theta.\nrecord000576: alpha beta gamma delta epsilon zeta eta theta.\nrecord000577: alpha beta gamma delta epsilon zeta eta theta.\nrecord000578: alpha beta gamma delta epsilon zeta eta theta.\nrecord000579: alpha beta gamma delta epsilon zeta eta theta.\nrecord000580: alpha beta gamma delta epsilon zeta eta theta.\nrecord000581: alpha beta gamma delta epsilon zeta eta theta.\nrecord000582: alpha beta gamma delta epsilon zeta eta theta.\nrecord000583: alpha beta gamma delta epsilon zeta eta theta.\nrecord000584: alpha beta gamma delta epsilon zeta eta theta.\nrecord000585: alpha beta gamma delta epsilon zeta eta theta.\nrecord000586: alpha beta gamma delta epsilon zeta eta 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theta.\nrecord000603: alpha beta gamma delta epsilon zeta eta theta.\nrecord000604: alpha beta gamma delta epsilon zeta eta theta.\nrecord000605: alpha beta gamma delta epsilon zeta eta theta.\nrecord000606: alpha beta gamma delta epsilon zeta eta theta.\nrecord000607: alpha beta gamma delta epsilon zeta eta theta.\nrecord000608: alpha beta gamma delta epsilon zeta eta theta.\nrecord000609: alpha beta gamma delta epsilon zeta eta theta.\nrecord000610: alpha beta gamma delta epsilon zeta eta theta.\nrecord000611: alpha beta gamma delta epsilon zeta eta theta.\nrecord000612: alpha beta gamma delta epsilon zeta eta theta.\nrecord000613: alpha beta gamma delta epsilon zeta eta theta.\nrecord000614: alpha beta gamma delta epsilon zeta eta theta.\nrecord000615: alpha beta gamma delta epsilon zeta eta theta.\nrecord000616: alpha beta gamma delta epsilon zeta eta theta.\nrecord000617: alpha beta gamma delta epsilon zeta eta theta.\nrecord000618: alpha beta gamma delta epsilon zeta eta theta.\nrecord000619: alpha beta gamma delta epsilon zeta eta theta.\nrecord000620: alpha beta gamma delta epsilon zeta eta theta.\nrecord000621: alpha beta gamma delta epsilon zeta eta theta.\nrecord000622: alpha beta gamma delta epsilon zeta eta theta.\nrecord000623: alpha beta gamma delta epsilon zeta eta theta.\nrecord000624: alpha beta gamma delta epsilon zeta eta theta.\nrecord000625: alpha beta gamma delta epsilon zeta eta theta.\nrecord000626: alpha beta gamma delta epsilon zeta eta theta.\nrecord000627: alpha beta gamma delta epsilon zeta eta theta.\nrecord000628: alpha beta gamma delta epsilon zeta eta theta.\nrecord000629: alpha beta gamma delta epsilon zeta eta theta.\nrecord000630: alpha beta gamma delta epsilon zeta eta theta.\nrecord000631: alpha beta gamma delta epsilon zeta eta theta.\nrecord000632: alpha beta gamma delta epsilon zeta eta theta.\nrecord000633: alpha beta gamma delta epsilon zeta eta theta.\nrecord000634: alpha beta gamma delta epsilon zeta eta theta.\nrecord000635: alpha beta gamma delta epsilon zeta eta theta.\nrecord000636: alpha beta gamma delta epsilon zeta eta theta.\nrecord000637: alpha beta gamma delta epsilon zeta eta theta.\nrecord000638: alpha beta gamma delta epsilon zeta eta theta.\nrecord000639: alpha beta gamma delta epsilon zeta eta theta.\nrecord000640: alpha beta gamma delta epsilon zeta eta theta.\nrecord000641: alpha beta gamma delta epsilon zeta eta theta.\nrecord000642: alpha beta gamma delta epsilon zeta eta theta.\nrecord000643: alpha beta gamma delta epsilon zeta eta theta.\nrecord000644: alpha beta gamma delta epsilon zeta eta theta.\nrecord000645: alpha beta gamma delta epsilon zeta eta theta.\nrecord000646: alpha beta gamma delta epsilon zeta eta theta.\nrecord000647: alpha beta gamma delta epsilon zeta eta theta.\nrecord000648: alpha beta gamma delta epsilon zeta eta theta.\nrecord000649: alpha beta gamma delta epsilon zeta eta theta.\nrecord000650: alpha beta gamma delta epsilon zeta eta theta.\nrecord000651: alpha beta gamma delta epsilon zeta eta theta.\nrecord000652: alpha beta gamma delta epsilon zeta eta theta.\nrecord000653: alpha beta gamma delta epsilon zeta eta theta.\nrecord000654: alpha beta gamma delta epsilon zeta eta theta.\nrecord000655: alpha beta gamma delta epsilon zeta eta theta.\nrecord000656: alpha beta gamma delta epsilon zeta eta theta.\nrecord000657: alpha beta gamma delta epsilon zeta eta theta.\nrecord000658: alpha beta gamma delta epsilon zeta eta theta.\nrecord000659: alpha beta gamma delta epsilon zeta eta theta.\nrecord000660: alpha beta gamma delta epsilon zeta eta theta.\nrecord000661: alpha beta gamma delta epsilon zeta eta theta.\nrecord000662: alpha beta gamma delta epsilon zeta eta theta.\nrecord000663: alpha beta gamma delta epsilon zeta eta theta.\nrecord000664: alpha beta gamma delta epsilon zeta eta theta.\nrecord000665: alpha beta gamma delta epsilon zeta eta theta.\nrecord000666: alpha beta gamma delta epsilon zeta eta theta.\nrecord000667: alpha beta gamma delta epsilon zeta eta theta.\nrecord000668: alpha beta gamma delta epsilon zeta eta theta.\nrecord000669: alpha beta gamma delta epsilon zeta eta theta.\nrecord000670: alpha beta gamma delta epsilon zeta eta theta.\nrecord000671: alpha beta gamma delta epsilon zeta eta theta.\nrecord000672: alpha beta gamma delta epsilon zeta eta theta.\nrecord000673: alpha beta gamma delta epsilon zeta eta theta.\nrecord000674: alpha beta gamma delta epsilon zeta eta theta.\nrecord000675: alpha beta gamma delta epsilon zeta eta theta.\nrecord000676: alpha beta gamma delta epsilon zeta eta theta.\nrecord000677: alpha beta gamma delta epsilon zeta eta theta.\nrecord000678: alpha beta gamma delta epsilon zeta eta theta.\nrecord000679: alpha beta gamma delta epsilon zeta eta theta.\nrecord000680: alpha beta gamma delta epsilon zeta eta theta.\nrecord000681: alpha beta gamma delta epsilon zeta eta theta.\nrecord000682: alpha beta gamma delta epsilon zeta eta theta.\nrecord000683: alpha beta gamma delta epsilon zeta eta theta.\nrecord000684: alpha beta gamma delta epsilon zeta eta theta.\nrecord000685: alpha beta gamma delta epsilon zeta eta theta.\nrecord000686: alpha beta gamma delta epsilon zeta eta theta.\nrecord000687: alpha beta gamma delta epsilon zeta eta theta.\nrecord000688: alpha beta gamma delta epsilon zeta eta theta.\nrecord000689: alpha beta gamma delta epsilon zeta eta theta.\nrecord000690: alpha beta gamma delta epsilon zeta eta theta.\nrecord000691: alpha beta gamma delta epsilon zeta eta theta.\nrecord000692: alpha beta gamma delta epsilon zeta eta theta.\nrecord000693: alpha beta gamma delta epsilon zeta eta theta.\nrecord000694: alpha beta gamma delta epsilon zeta eta theta.\nrecord000695: alpha beta gamma delta epsilon zeta eta theta.\nrecord000696: alpha beta gamma delta epsilon zeta eta theta.\nrecord000697: alpha beta gamma delta epsilon zeta eta theta.\nrecord000698: alpha beta gamma delta epsilon zeta eta theta.\nrecord000699: alpha beta gamma delta epsilon zeta eta theta.\nrecord000700: alpha beta gamma delta epsilon zeta eta theta.\nrecord000701: alpha beta gamma delta epsilon zeta eta theta.\nrecord000702: alpha beta gamma delta epsilon zeta eta theta.\nrecord000703: alpha beta gamma delta epsilon zeta eta theta.\nrecord000704: alpha beta gamma delta epsilon zeta eta theta.\nrecord000705: alpha beta gamma delta epsilon zeta eta theta.\nrecord000706: alpha beta gamma delta epsilon zeta eta theta.\nrecord000707: alpha beta gamma delta epsilon zeta eta theta.\nrecord000708: alpha beta gamma delta epsilon zeta eta theta.\nrecord000709: alpha beta gamma delta epsilon zeta eta theta.\nrecord000710: alpha beta gamma delta epsilon zeta eta theta.\nrecord000711: alpha beta gamma delta epsilon zeta eta theta.\nrecord000712: alpha beta gamma delta epsilon zeta eta theta.\nrecord000713: alpha beta gamma delta epsilon zeta eta theta.\nrecord000714: alpha beta gamma delta epsilon zeta eta theta.\nrecord000715: alpha beta gamma delta epsilon zeta eta theta.\nrecord000716: alpha beta gamma delta epsilon zeta eta theta.\nrecord000717: alpha beta gamma delta epsilon zeta eta theta.\nrecord000718: alpha beta gamma delta epsilon zeta eta theta.\nrecord000719: alpha beta gamma delta epsilon zeta eta theta.\nrecord000720: alpha beta gamma delta epsilon zeta eta theta.\nrecord000721: alpha beta gamma delta epsilon zeta eta theta.\nrecord000722: alpha beta gamma delta epsilon zeta eta theta.\nrecord000723: alpha beta gamma delta epsilon zeta eta theta.\nrecord000724: alpha beta gamma delta epsilon zeta eta theta.\nrecord000725: alpha beta gamma delta epsilon zeta eta theta.\nrecord000726: alpha beta gamma delta epsilon zeta eta theta.\nrecord000727: alpha beta gamma delta epsilon zeta eta theta.\nrecord000728: alpha beta gamma delta epsilon zeta eta theta.\nrecord000729: alpha beta gamma delta epsilon zeta eta theta.\nrecord000730: alpha beta gamma delta epsilon zeta eta theta.\nrecord000731: alpha beta gamma delta epsilon zeta eta theta.\nrecord000732: alpha beta gamma delta epsilon zeta eta theta.\nrecord000733: alpha beta gamma delta epsilon zeta eta theta.\nrecord000734: alpha beta gamma delta epsilon zeta eta theta.\nrecord000735: alpha beta gamma delta epsilon zeta eta theta.\nrecord000736: alpha beta gamma delta epsilon zeta eta theta.\nrecord000737: alpha beta gamma delta epsilon zeta eta theta.\nrecord000738: alpha beta gamma delta epsilon zeta eta theta.\nrecord000739: alpha beta gamma delta epsilon zeta eta theta.\nrecord000740: alpha beta gamma delta epsilon zeta eta theta.\nrecord000741: alpha beta gamma delta epsilon zeta eta theta.\nrecord000742: alpha beta gamma delta epsilon zeta eta theta.\nrecord000743: alpha beta gamma delta epsilon zeta eta theta.\nrecord000744: alpha beta gamma delta epsilon zeta eta theta.\nrecord000745: alpha beta gamma delta epsilon zeta eta theta.\nrecord000746: alpha beta gamma delta epsilon zeta eta theta.\nrecord000747: alpha beta gamma delta epsilon zeta eta theta.\nrecord000748: alpha beta gamma delta epsilon zeta eta theta.\nrecord000749: alpha beta gamma delta epsilon zeta eta theta.\nrecord000750: alpha beta gamma delta epsilon zeta eta theta.\nrecord000751: alpha beta gamma delta epsilon zeta eta theta.\nrecord000752: alpha beta gamma delta epsilon zeta eta theta.\nrecord000753: alpha beta gamma delta epsilon zeta eta theta.\nrecord000754: alpha beta gamma delta epsilon zeta eta theta.\nrecord000755: alpha beta gamma delta epsilon zeta eta theta.\nrecord000756: alpha beta gamma delta epsilon zeta eta theta.\nrecord000757: alpha beta gamma delta epsilon zeta eta theta.\nrecord000758: alpha beta gamma delta epsilon zeta eta theta.\nrecord000759: alpha beta gamma delta epsilon zeta eta theta.\nrecord000760: alpha beta gamma delta epsilon zeta eta theta.\nrecord000761: alpha beta gamma delta epsilon zeta eta theta.\nrecord000762: alpha beta gamma delta epsilon zeta eta theta.\nrecord000763: alpha beta gamma delta epsilon zeta eta theta.\nrecord000764: alpha beta gamma delta epsilon zeta eta theta.\nrecord000765: alpha beta gamma delta epsilon zeta eta theta.\nrecord000766: alpha beta gamma delta epsilon zeta eta theta.\nrecord000767: alpha beta gamma delta epsilon zeta eta theta.\nrecord000768: alpha beta gamma delta epsilon zeta eta theta.\nrecord000769: alpha beta gamma delta epsilon zeta eta theta.\nrecord000770: alpha beta gamma delta epsilon zeta eta theta.\nrecord000771: alpha beta gamma delta epsilon zeta eta theta.\nrecord000772: alpha beta gamma delta epsilon zeta eta theta.\nrecord000773: alpha beta gamma delta epsilon zeta eta theta.\nrecord000774: alpha beta gamma delta epsilon zeta eta theta.\nrecord000775: alpha beta gamma delta epsilon zeta eta theta.\nrecord000776: alpha beta gamma delta epsilon zeta eta theta.\nrecord000777: alpha beta gamma delta epsilon zeta eta theta.\nrecord000778: alpha beta gamma delta epsilon zeta eta theta.\nrecord000779: alpha beta gamma delta epsilon zeta eta theta.\nrecord000780: alpha beta gamma delta epsilon zeta eta theta.\nrecord000781: alpha beta gamma delta epsilon zeta eta theta.\nrecord000782: alpha beta gamma delta epsilon zeta eta theta.\nrecord000783: alpha beta gamma delta epsilon zeta eta theta.\nrecord000784: alpha beta gamma delta epsilon zeta eta theta.\nrecord000785: alpha beta gamma delta epsilon zeta eta theta.\nrecord000786: alpha beta gamma delta epsilon zeta eta theta.\nrecord000787: alpha beta gamma delta epsilon zeta eta theta.\nrecord000788: alpha beta gamma delta epsilon zeta eta theta.\nrecord000789: alpha beta gamma delta epsilon zeta eta theta.\nrecord000790: alpha beta gamma delta epsilon zeta eta theta.\nrecord000791: alpha beta gamma delta epsilon zeta eta theta.\nrecord000792: alpha beta gamma delta epsilon zeta eta theta.\nrecord000793: alpha beta gamma delta epsilon zeta eta theta.\nrecord000794: alpha beta gamma delta epsilon zeta eta theta.\nrecord000795: alpha beta gamma delta epsilon zeta eta theta.\nrecord000796: alpha beta gamma delta epsilon zeta eta theta.\nrecord000797: alpha beta gamma delta epsilon zeta eta theta.\nrecord000798: alpha beta gamma delta epsilon zeta eta theta.\nrecord000799: alpha beta gamma delta epsilon zeta eta theta.\nrecord000800: alpha beta gamma delta epsilon zeta eta theta.\nrecord000801: alpha beta gamma delta epsilon zeta eta theta.\nrecord000802: alpha beta gamma delta epsilon zeta eta theta.\nrecord000803: alpha beta gamma delta epsilon zeta eta theta.\nrecord000804: alpha beta gamma delta epsilon zeta eta theta.\nrecord000805: alpha beta gamma delta epsilon zeta eta theta.\nrecord000806: alpha beta gamma delta epsilon zeta eta theta.\nrecord000807: alpha beta gamma delta epsilon zeta eta theta.\nrecord000808: alpha beta gamma delta epsilon zeta eta theta.\nrecord000809: alpha beta gamma delta epsilon zeta eta theta.\nrecord000810: alpha beta gamma delta epsilon zeta eta theta.\nrecord000811: alpha beta gamma delta epsilon zeta eta theta.\nrecord000812: alpha beta gamma delta epsilon zeta eta theta.\nrecord000813: alpha beta gamma delta epsilon zeta eta theta.\nrecord000814: alpha beta gamma delta epsilon zeta eta theta.\nrecord000815: alpha beta gamma delta epsilon zeta eta theta.\nrecord000816: alpha beta gamma delta epsilon zeta eta theta.\nrecord000817: alpha beta gamma delta epsilon zeta eta theta.\nrecord000818: alpha beta gamma delta epsilon zeta eta theta.\nrecord000819: alpha beta gamma delta epsilon zeta eta theta.\nrecord000820: alpha beta gamma delta epsilon zeta eta theta.\nrecord000821: alpha beta gamma delta epsilon zeta eta theta.\nrecord000822: alpha beta gamma delta epsilon zeta eta theta.\nrecord000823: alpha beta gamma delta epsilon zeta eta theta.\nrecord000824: alpha beta gamma delta epsilon zeta eta theta.\nrecord000825: alpha beta gamma delta epsilon zeta eta theta.\nrecord000826: alpha beta gamma delta epsilon zeta eta theta.\nrecord000827: alpha beta gamma delta epsilon zeta eta theta.\nrecord000828: alpha beta gamma delta epsilon zeta eta theta.\nrecord000829: alpha beta gamma delta epsilon zeta eta theta.\nrecord000830: alpha beta gamma delta epsilon zeta eta theta.\nrecord000831: alpha beta gamma delta epsilon zeta eta theta.\nrecord000832: alpha beta gamma delta epsilon zeta eta theta.\nrecord000833: alpha beta gamma delta epsilon zeta eta theta.\nrecord000834: alpha beta gamma delta epsilon zeta eta theta.\nrecord000835: alpha beta gamma delta epsilon zeta eta theta.\nrecord000836: alpha beta gamma delta epsilon zeta eta theta.\nrecord000837: alpha beta gamma delta epsilon zeta eta theta.\nrecord000838: alpha beta gamma delta epsilon zeta eta theta.\nrecord000839: alpha beta gamma delta epsilon zeta eta theta.\nrecord000840: alpha beta gamma delta epsilon zeta eta theta.\nrecord000841: alpha beta gamma delta epsilon zeta eta theta.\nrecord000842: alpha beta gamma delta epsilon zeta eta theta.\nrecord000843: alpha beta gamma delta epsilon zeta eta theta.\nrecord000844: alpha beta gamma delta epsilon zeta eta theta.\nrecord000845: alpha beta gamma delta epsilon zeta eta theta.\nrecord000846: alpha beta gamma delta epsilon zeta eta theta.\nrecord000847: alpha beta gamma delta epsilon zeta eta theta.\nrecord000848: alpha beta gamma delta epsilon zeta eta theta.\nrecord000849: alpha beta gamma delta epsilon zeta eta theta.\nrecord000850: alpha beta gamma delta epsilon zeta eta theta.\nrecord000851: alpha beta gamma delta epsilon zeta eta theta.\nrecord000852: alpha beta gamma delta epsilon zeta eta theta.\nrecord000853: alpha beta gamma delta epsilon zeta eta theta.\nrecord000854: alpha beta gamma delta epsilon zeta eta theta.\nrecord000855: alpha beta gamma delta epsilon zeta eta theta.\nrecord000856: alpha beta gamma delta epsilon zeta eta theta.\nrecord000857: alpha beta gamma delta epsilon zeta eta theta.\nrecord000858: alpha beta gamma delta epsilon zeta eta theta.\nSummarize the structure of these records and explain how to look up a record by its ID."}], "tools": null, "final_answer": "Each record has the same simple structure:\n\n```text\nrecord000001: alpha beta gamma delta epsilon zeta eta theta\n```\n\n- **Record ID**: `record` followed by a zero-padded 6-digit number, e.g. `record000001`.\n- **Separator**: `: `\n- **Payload**: the fixed text \n `alpha beta gamma delta epsilon zeta eta theta`\n\nThe IDs appear sequential from:\n\n```text\nrecord000001\n...\nrecord000858\n```\n\nSo the collection is effectively a line-delimited record file where each line is", "reasoning": "We need answer user's request. User provided huge repeated records and asks: \"Summarize the structure of these records and explain how to look up a record by its ID.\" Need likely analyze from prompt: records ID record000001 to record000858? Each line: recordNNNNNN: alpha beta gamma delta epsilon zeta eta theta. Need summarize structure: fixed format key: value, ID prefix zero-padded six digits? record + six digits, colon space, payload eight Greek words? alpha beta gamma delta epsilon zeta eta theta. Maybe line-delimited text/log. Lookup by ID: use exact ID as line prefix; parse line by colon to get value; if sorted sequential, binary search possible because IDs increasing and zero-padded lex order equals numeric order. Also perhaps in a list, index = numeric id? Since IDs start at 1 and sequential, if all present and no gaps, lookup recordID = records[id] if array 1-indexed or records[id-1] if 0-indexed, but robust method should search by ID. Need maybe mention for 858 records? Count? Let's verify lines start at 1 and end 858. The user included up to record000858. Could count: 858 lines. Need answer maybe concise but detailed. Need avoid listing all. Also maybe mention ID format: \"record%06d\". Payload constant. Maybe lookup: strip ID to number: int(record_id.removeprefix('record')), then compute offset. But if missing/duplicates, use map/dictionary from ID to record. If file text, grep exact prefix '^record000423:'. Could provide pseudocode. Also mention case-insensitive? no. Need final only.\n", "tool_calls": [], "finish_reason": "length", "usage": {"prompt_tokens": 16387, "completion_tokens": 512, "total_tokens": 16899, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 16387, "prompt_ms": 2692.1, "prompt_per_token_ms": 0.164, "prompt_per_second": 6087.1, "predicted_n": 512, "predicted_ms": 4120.7, "predicted_per_token_ms": 8.048, "predicted_per_second": 124.3, "draft_n": 369, "draft_n_accepted": 226}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 6.832012, "first_delta": {"offset_s": 2.719403, "kind": "reasoning"}, "first_answer_offset_s": 5.935727, "client_events": [[2.719403, "reasoning"], [2.739618, "reasoning"], [2.739644, "reasoning"], [2.739662, "reasoning"], [2.739703, "reasoning"], [2.746956, "reasoning"], [2.746982, "reasoning"], [2.747001, "reasoning"], [2.75998, "reasoning"], [2.773134, "reasoning"], [2.778673, "reasoning"], [2.798959, "reasoning"], [2.798986, "reasoning"], 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beta gamma delta epsilon zeta eta theta.\nrecord000020: alpha beta gamma delta epsilon zeta eta theta.\nrecord000021: alpha beta gamma delta epsilon zeta eta theta.\nrecord000022: alpha beta gamma delta epsilon zeta eta theta.\nrecord000023: alpha beta gamma delta epsilon zeta eta theta.\nrecord000024: alpha beta gamma delta epsilon zeta eta theta.\nrecord000025: alpha beta gamma delta epsilon zeta eta theta.\nrecord000026: alpha beta gamma delta epsilon zeta eta theta.\nrecord000027: alpha beta gamma delta epsilon zeta eta theta.\nrecord000028: alpha beta gamma delta epsilon zeta eta theta.\nrecord000029: alpha beta gamma delta epsilon zeta eta theta.\nrecord000030: alpha beta gamma delta epsilon zeta eta theta.\nrecord000031: alpha beta gamma delta epsilon zeta eta theta.\nrecord000032: alpha beta gamma delta epsilon zeta eta theta.\nrecord000033: alpha beta gamma delta epsilon zeta eta theta.\nrecord000034: alpha beta gamma delta epsilon zeta eta theta.\nrecord000035: alpha beta gamma delta epsilon zeta eta theta.\nrecord000036: alpha beta gamma delta epsilon zeta eta theta.\nrecord000037: alpha beta gamma delta epsilon zeta eta theta.\nrecord000038: alpha beta gamma delta epsilon zeta eta theta.\nrecord000039: alpha beta gamma delta epsilon zeta eta theta.\nrecord000040: alpha beta gamma delta epsilon zeta eta theta.\nrecord000041: alpha beta gamma delta epsilon zeta eta theta.\nrecord000042: alpha beta gamma delta epsilon zeta eta theta.\nrecord000043: alpha beta gamma delta epsilon zeta eta theta.\nrecord000044: alpha beta gamma delta epsilon zeta eta theta.\nrecord000045: alpha beta gamma delta epsilon zeta eta theta.\nrecord000046: alpha beta gamma delta epsilon zeta eta theta.\nrecord000047: alpha beta gamma delta epsilon zeta eta theta.\nrecord000048: alpha beta gamma delta epsilon zeta eta theta.\nrecord000049: alpha beta gamma delta epsilon zeta eta theta.\nrecord000050: alpha beta gamma delta epsilon zeta eta theta.\nrecord000051: alpha beta gamma delta epsilon zeta eta theta.\nrecord000052: alpha beta gamma delta epsilon zeta eta theta.\nrecord000053: alpha beta gamma delta epsilon zeta eta theta.\nrecord000054: alpha beta gamma delta epsilon zeta eta theta.\nrecord000055: alpha beta gamma delta epsilon zeta eta theta.\nrecord000056: alpha beta gamma delta epsilon zeta eta theta.\nrecord000057: alpha beta gamma delta epsilon zeta eta theta.\nrecord000058: alpha beta gamma delta epsilon zeta eta theta.\nrecord000059: alpha beta gamma delta epsilon zeta eta theta.\nrecord000060: alpha beta gamma delta epsilon zeta eta theta.\nrecord000061: alpha beta gamma delta epsilon zeta eta theta.\nrecord000062: alpha beta gamma delta epsilon zeta eta theta.\nrecord000063: alpha beta gamma delta epsilon zeta eta theta.\nrecord000064: alpha beta gamma delta epsilon zeta eta theta.\nrecord000065: alpha beta gamma delta epsilon zeta eta theta.\nrecord000066: alpha beta gamma delta epsilon zeta eta theta.\nrecord000067: alpha beta gamma delta epsilon zeta eta theta.\nrecord000068: alpha beta gamma delta epsilon zeta eta theta.\nrecord000069: alpha beta gamma delta epsilon zeta eta theta.\nrecord000070: alpha beta gamma delta epsilon zeta eta theta.\nrecord000071: alpha beta gamma delta epsilon zeta eta theta.\nrecord000072: alpha beta gamma delta epsilon zeta eta theta.\nrecord000073: alpha beta gamma delta epsilon zeta eta theta.\nrecord000074: alpha beta gamma delta epsilon zeta eta theta.\nrecord000075: alpha beta gamma delta epsilon zeta eta theta.\nrecord000076: alpha beta gamma delta epsilon zeta eta theta.\nrecord000077: alpha beta gamma delta epsilon zeta eta theta.\nrecord000078: alpha beta gamma delta epsilon zeta eta theta.\nrecord000079: alpha beta gamma delta epsilon zeta eta theta.\nrecord000080: alpha beta gamma delta epsilon zeta eta theta.\nrecord000081: alpha beta gamma delta epsilon zeta eta theta.\nrecord000082: alpha beta gamma delta epsilon zeta eta theta.\nrecord000083: alpha beta gamma delta epsilon 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theta.\nrecord000100: alpha beta gamma delta epsilon zeta eta theta.\nrecord000101: alpha beta gamma delta epsilon zeta eta theta.\nrecord000102: alpha beta gamma delta epsilon zeta eta theta.\nrecord000103: alpha beta gamma delta epsilon zeta eta theta.\nrecord000104: alpha beta gamma delta epsilon zeta eta theta.\nrecord000105: alpha beta gamma delta epsilon zeta eta theta.\nrecord000106: alpha beta gamma delta epsilon zeta eta theta.\nrecord000107: alpha beta gamma delta epsilon zeta eta theta.\nrecord000108: alpha beta gamma delta epsilon zeta eta theta.\nrecord000109: alpha beta gamma delta epsilon zeta eta theta.\nrecord000110: alpha beta gamma delta epsilon zeta eta theta.\nrecord000111: alpha beta gamma delta epsilon zeta eta theta.\nrecord000112: alpha beta gamma delta epsilon zeta eta theta.\nrecord000113: alpha beta gamma delta epsilon zeta eta theta.\nrecord000114: alpha beta gamma delta epsilon zeta eta theta.\nrecord000115: alpha beta gamma delta epsilon zeta eta theta.\nrecord000116: alpha beta gamma delta epsilon zeta eta theta.\nrecord000117: alpha beta gamma delta epsilon zeta eta theta.\nrecord000118: alpha beta gamma delta epsilon zeta eta theta.\nrecord000119: alpha beta gamma delta epsilon zeta eta theta.\nrecord000120: alpha beta gamma delta epsilon zeta eta theta.\nrecord000121: alpha beta gamma delta epsilon zeta eta theta.\nrecord000122: alpha beta gamma delta epsilon zeta eta theta.\nrecord000123: alpha beta gamma delta epsilon zeta eta theta.\nrecord000124: alpha beta gamma delta epsilon zeta eta theta.\nrecord000125: alpha beta gamma delta epsilon zeta eta theta.\nrecord000126: alpha beta gamma delta epsilon zeta eta theta.\nrecord000127: alpha beta gamma delta epsilon zeta eta theta.\nrecord000128: alpha beta gamma delta epsilon zeta eta theta.\nrecord000129: alpha beta gamma delta epsilon zeta eta theta.\nrecord000130: alpha beta gamma delta epsilon zeta eta theta.\nrecord000131: alpha beta gamma delta epsilon zeta eta theta.\nrecord000132: alpha beta gamma delta epsilon zeta eta theta.\nrecord000133: alpha beta gamma delta epsilon zeta eta theta.\nrecord000134: alpha beta gamma delta epsilon zeta eta theta.\nrecord000135: alpha beta gamma delta epsilon zeta eta theta.\nrecord000136: alpha beta gamma delta epsilon zeta eta theta.\nrecord000137: alpha beta gamma delta epsilon zeta eta theta.\nrecord000138: alpha beta gamma delta epsilon zeta eta theta.\nrecord000139: alpha beta gamma delta epsilon zeta eta theta.\nrecord000140: alpha beta gamma delta epsilon zeta eta theta.\nrecord000141: alpha beta gamma delta epsilon zeta eta theta.\nrecord000142: alpha beta gamma delta epsilon zeta eta theta.\nrecord000143: alpha beta gamma delta epsilon zeta eta theta.\nrecord000144: alpha beta gamma delta epsilon zeta eta theta.\nrecord000145: alpha beta gamma delta epsilon zeta eta theta.\nrecord000146: alpha beta gamma delta epsilon zeta eta theta.\nrecord000147: alpha beta gamma delta epsilon zeta eta theta.\nrecord000148: alpha beta gamma delta epsilon zeta eta theta.\nrecord000149: alpha beta gamma delta epsilon zeta eta theta.\nrecord000150: alpha beta gamma delta epsilon zeta eta theta.\nrecord000151: alpha beta gamma delta epsilon zeta eta theta.\nrecord000152: alpha beta gamma delta epsilon zeta eta theta.\nrecord000153: alpha beta gamma delta epsilon zeta eta theta.\nrecord000154: alpha beta gamma delta epsilon zeta eta theta.\nrecord000155: alpha beta gamma delta epsilon zeta eta theta.\nrecord000156: alpha beta gamma delta epsilon zeta eta theta.\nrecord000157: alpha beta gamma delta epsilon zeta eta theta.\nrecord000158: alpha beta gamma delta epsilon zeta eta theta.\nrecord000159: alpha beta gamma delta epsilon zeta eta theta.\nrecord000160: alpha beta gamma delta epsilon zeta eta theta.\nrecord000161: alpha beta gamma delta epsilon zeta eta theta.\nrecord000162: alpha beta gamma delta epsilon zeta eta theta.\nrecord000163: alpha beta gamma delta epsilon zeta eta theta.\nrecord000164: alpha beta gamma delta epsilon zeta eta theta.\nrecord000165: alpha beta gamma delta epsilon zeta eta theta.\nrecord000166: alpha beta gamma delta epsilon zeta eta theta.\nrecord000167: alpha beta gamma delta epsilon zeta eta theta.\nrecord000168: alpha beta gamma delta epsilon zeta eta theta.\nrecord000169: alpha beta gamma delta epsilon zeta eta theta.\nrecord000170: alpha beta gamma delta epsilon zeta eta theta.\nrecord000171: alpha beta gamma delta epsilon zeta eta theta.\nrecord000172: alpha beta gamma delta epsilon zeta eta theta.\nrecord000173: alpha beta gamma delta epsilon zeta eta theta.\nrecord000174: alpha beta gamma delta epsilon zeta eta theta.\nrecord000175: alpha beta gamma delta epsilon zeta eta theta.\nrecord000176: alpha beta gamma delta epsilon zeta eta theta.\nrecord000177: alpha beta gamma delta epsilon zeta eta theta.\nrecord000178: alpha beta gamma delta epsilon zeta eta theta.\nrecord000179: alpha beta gamma delta epsilon zeta eta theta.\nrecord000180: alpha beta gamma delta epsilon zeta eta theta.\nrecord000181: alpha beta gamma delta epsilon zeta eta theta.\nrecord000182: alpha beta gamma delta epsilon zeta eta theta.\nrecord000183: alpha beta gamma delta epsilon zeta eta theta.\nrecord000184: alpha beta gamma delta epsilon zeta eta theta.\nrecord000185: alpha beta gamma delta epsilon zeta eta theta.\nrecord000186: alpha beta gamma delta epsilon zeta eta theta.\nrecord000187: alpha beta gamma delta epsilon zeta eta theta.\nrecord000188: alpha beta gamma delta epsilon zeta eta theta.\nrecord000189: alpha beta gamma delta epsilon zeta eta theta.\nrecord000190: alpha beta gamma delta epsilon zeta eta theta.\nrecord000191: alpha beta gamma delta epsilon zeta eta theta.\nrecord000192: alpha beta gamma delta epsilon zeta eta theta.\nrecord000193: alpha beta gamma delta epsilon zeta eta theta.\nrecord000194: alpha beta gamma delta epsilon zeta eta theta.\nrecord000195: alpha beta gamma delta epsilon zeta eta theta.\nrecord000196: alpha beta gamma delta epsilon zeta eta theta.\nrecord000197: alpha beta gamma delta epsilon zeta eta theta.\nrecord000198: alpha beta gamma delta epsilon zeta eta theta.\nrecord000199: alpha beta gamma delta epsilon zeta eta theta.\nrecord000200: alpha beta gamma delta epsilon zeta eta theta.\nrecord000201: alpha beta gamma delta epsilon zeta eta theta.\nrecord000202: alpha beta gamma delta epsilon zeta eta theta.\nrecord000203: alpha beta gamma delta epsilon zeta eta theta.\nrecord000204: alpha beta gamma delta epsilon zeta eta theta.\nrecord000205: alpha beta gamma delta epsilon zeta eta theta.\nrecord000206: alpha beta gamma delta epsilon zeta eta theta.\nrecord000207: alpha beta gamma delta epsilon zeta eta theta.\nrecord000208: alpha beta gamma delta epsilon zeta eta theta.\nrecord000209: alpha beta gamma delta epsilon zeta eta theta.\nrecord000210: alpha beta gamma delta epsilon zeta eta theta.\nrecord000211: alpha beta gamma delta epsilon zeta eta theta.\nSummarize the structure of these records and explain how to look up a record by its ID."}], "tools": null, "final_answer": "Each record has a simple two-part structure:\n\n```text\nrecord000123: alpha beta gamma delta epsilon zeta eta theta\n```\n\n- **Record ID**: the text before the colon, e.g. `record000123`\n- **Record value/content**: the text after the colon, e.g. `alpha beta gamma delta epsilon zeta eta theta`\n\nAll records in this example share the same content:\n\n```text\nalpha beta gamma delta epsilon zeta eta theta\n```\n\nThe record IDs are sequential and zero-padded to six digits, ranging from:\n\n```text\nrecord000001\n```\n\nto:\n\n```text\nrecord000211\n```\n\nTo look up a record by its ID:\n\n1. Take the desired numeric ID, for example `123`.\n2. Format it as a zero-padded six-digit ID:\n\n ```text\n record000123\n ```\n\n3. Find the line beginning with that exact ID.\n4. Return the text after the colon as the record value.\n\nExample lookup:\n\n```text\nID: record000123\nValue: alpha beta gamma delta epsilon zeta eta theta\n```\n\nIn a file or dataset, this could be done by searching for the exact prefix:\n\n```text\nrecord", "reasoning": "We need answer user's request. User provided records 1-211 all identical content: alpha beta gamma delta epsilon zeta eta theta. Asks: \"Summarize the structure of these records and explain how to look up a record by its ID.\" Need likely respond with structure: each line has recordNNNNNN: followed by fixed fields/tokens. IDs are zero-padded six-digit after record. To lookup by ID: parse line prefix before colon, match exact ID like record000200, then retrieve content after colon. Could mention if ID is numeric, format with %06d; binary search possible because sorted; use hash map. Also summarize: 211 records sequential from record000001 to record000211, identical value list. Need be concise but thorough. Ensure final answer only. Need in English same language. Could provide examples. Also maybe note if using line-based text: grep -n '^record000123:' file. Or index. 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theta.\nrecord000716: alpha beta gamma delta epsilon zeta eta theta.\nrecord000717: alpha beta gamma delta epsilon zeta eta theta.\nrecord000718: alpha beta gamma delta epsilon zeta eta theta.\nrecord000719: alpha beta gamma delta epsilon zeta eta theta.\nrecord000720: alpha beta gamma delta epsilon zeta eta theta.\nrecord000721: alpha beta gamma delta epsilon zeta eta theta.\nrecord000722: alpha beta gamma delta epsilon zeta eta theta.\nrecord000723: alpha beta gamma delta epsilon zeta eta theta.\nrecord000724: alpha beta gamma delta epsilon zeta eta theta.\nrecord000725: alpha beta gamma delta epsilon zeta eta theta.\nrecord000726: alpha beta gamma delta epsilon zeta eta theta.\nrecord000727: alpha beta gamma delta epsilon zeta eta theta.\nrecord000728: alpha beta gamma delta epsilon zeta eta theta.\nrecord000729: alpha beta gamma delta epsilon zeta eta theta.\nrecord000730: alpha beta gamma delta epsilon zeta eta theta.\nrecord000731: alpha beta gamma delta epsilon zeta eta theta.\nrecord000732: alpha beta gamma delta epsilon zeta eta theta.\nrecord000733: alpha beta gamma delta epsilon zeta eta theta.\nrecord000734: alpha beta gamma delta epsilon zeta eta theta.\nrecord000735: alpha beta gamma delta epsilon zeta eta theta.\nrecord000736: alpha beta gamma delta epsilon zeta eta theta.\nrecord000737: alpha beta gamma delta epsilon zeta eta theta.\nrecord000738: alpha beta gamma delta epsilon zeta eta theta.\nrecord000739: alpha beta gamma delta epsilon zeta eta theta.\nrecord000740: alpha beta gamma delta epsilon zeta eta theta.\nrecord000741: alpha beta gamma delta epsilon zeta eta theta.\nrecord000742: alpha beta gamma delta epsilon zeta eta theta.\nrecord000743: alpha beta gamma delta epsilon zeta eta theta.\nrecord000744: alpha beta gamma delta epsilon zeta eta theta.\nrecord000745: alpha beta gamma delta epsilon zeta eta theta.\nrecord000746: alpha beta gamma delta epsilon zeta eta theta.\nrecord000747: alpha beta gamma delta epsilon zeta eta theta.\nrecord000748: alpha beta gamma delta epsilon zeta eta theta.\nrecord000749: alpha beta gamma delta epsilon zeta eta theta.\nrecord000750: alpha beta gamma delta epsilon zeta eta theta.\nrecord000751: alpha beta gamma delta epsilon zeta eta theta.\nrecord000752: alpha beta gamma delta epsilon zeta eta theta.\nrecord000753: alpha beta gamma delta epsilon zeta eta theta.\nrecord000754: alpha beta gamma delta epsilon zeta eta theta.\nrecord000755: alpha beta gamma delta epsilon zeta eta theta.\nrecord000756: alpha beta gamma delta epsilon zeta eta theta.\nrecord000757: alpha beta gamma delta epsilon zeta eta theta.\nrecord000758: alpha beta gamma delta epsilon zeta eta theta.\nrecord000759: alpha beta gamma delta epsilon zeta eta theta.\nrecord000760: alpha beta gamma delta epsilon zeta eta theta.\nrecord000761: alpha beta gamma delta epsilon zeta eta theta.\nrecord000762: alpha beta gamma delta epsilon zeta eta theta.\nrecord000763: alpha beta gamma delta epsilon zeta eta theta.\nrecord000764: alpha beta gamma delta epsilon zeta eta theta.\nrecord000765: alpha beta gamma delta epsilon zeta eta theta.\nrecord000766: alpha beta gamma delta epsilon zeta eta theta.\nrecord000767: alpha beta gamma delta epsilon zeta eta theta.\nrecord000768: alpha beta gamma delta epsilon zeta eta theta.\nrecord000769: alpha beta gamma delta epsilon zeta eta theta.\nrecord000770: alpha beta gamma delta epsilon zeta eta theta.\nrecord000771: alpha beta gamma delta epsilon zeta eta theta.\nrecord000772: alpha beta gamma delta epsilon zeta eta theta.\nrecord000773: alpha beta gamma delta epsilon zeta eta theta.\nrecord000774: alpha beta gamma delta epsilon zeta eta theta.\nrecord000775: alpha beta gamma delta epsilon zeta eta theta.\nrecord000776: alpha beta gamma delta epsilon zeta eta theta.\nrecord000777: alpha beta gamma delta epsilon zeta eta theta.\nrecord000778: alpha beta gamma delta epsilon zeta eta theta.\nrecord000779: alpha beta gamma delta epsilon zeta eta theta.\nrecord000780: alpha beta gamma delta epsilon zeta eta theta.\nrecord000781: alpha beta gamma delta epsilon zeta eta theta.\nrecord000782: alpha beta gamma delta epsilon zeta eta theta.\nrecord000783: alpha beta gamma delta epsilon zeta eta theta.\nrecord000784: alpha beta gamma delta epsilon zeta eta theta.\nrecord000785: alpha beta gamma delta epsilon zeta eta theta.\nrecord000786: alpha beta gamma delta epsilon zeta eta theta.\nrecord000787: alpha beta gamma delta epsilon zeta eta theta.\nrecord000788: alpha beta gamma delta epsilon zeta eta theta.\nrecord000789: alpha beta gamma delta epsilon zeta eta theta.\nrecord000790: alpha beta gamma delta epsilon zeta eta theta.\nrecord000791: alpha beta gamma delta epsilon zeta eta theta.\nrecord000792: alpha beta gamma delta epsilon zeta eta theta.\nrecord000793: alpha beta gamma delta epsilon zeta eta theta.\nrecord000794: alpha beta gamma delta epsilon zeta eta theta.\nrecord000795: alpha beta gamma delta epsilon zeta eta theta.\nrecord000796: alpha beta gamma delta epsilon zeta eta theta.\nrecord000797: alpha beta gamma delta epsilon zeta eta theta.\nrecord000798: alpha beta gamma delta epsilon zeta eta theta.\nrecord000799: alpha beta gamma delta epsilon zeta eta theta.\nrecord000800: alpha beta gamma delta epsilon zeta eta theta.\nrecord000801: alpha beta gamma delta epsilon zeta eta theta.\nrecord000802: alpha beta gamma delta epsilon zeta eta theta.\nrecord000803: alpha beta gamma delta epsilon zeta eta theta.\nrecord000804: alpha beta gamma delta epsilon zeta eta theta.\nrecord000805: alpha beta gamma delta epsilon zeta eta theta.\nrecord000806: alpha beta gamma delta epsilon zeta eta theta.\nrecord000807: alpha beta gamma delta epsilon zeta eta theta.\nrecord000808: alpha beta gamma delta epsilon zeta eta theta.\nrecord000809: alpha beta gamma delta epsilon zeta eta theta.\nrecord000810: alpha beta gamma delta epsilon zeta eta theta.\nrecord000811: alpha beta gamma delta epsilon zeta eta theta.\nrecord000812: alpha beta gamma delta epsilon zeta eta theta.\nrecord000813: alpha beta gamma delta epsilon zeta eta theta.\nrecord000814: alpha beta gamma delta epsilon zeta eta theta.\nrecord000815: alpha beta gamma delta epsilon zeta eta theta.\nrecord000816: alpha beta gamma delta epsilon zeta eta theta.\nrecord000817: alpha beta gamma delta epsilon zeta eta theta.\nrecord000818: alpha beta gamma delta epsilon zeta eta theta.\nrecord000819: alpha beta gamma delta epsilon zeta eta theta.\nrecord000820: alpha beta gamma delta epsilon zeta eta theta.\nrecord000821: alpha beta gamma delta epsilon zeta eta theta.\nrecord000822: alpha beta gamma delta epsilon zeta eta theta.\nrecord000823: alpha beta gamma delta epsilon zeta eta theta.\nrecord000824: alpha beta gamma delta epsilon zeta eta theta.\nrecord000825: alpha beta gamma delta epsilon zeta eta theta.\nrecord000826: alpha beta gamma delta epsilon zeta eta theta.\nrecord000827: alpha beta gamma delta epsilon zeta eta theta.\nrecord000828: alpha beta gamma delta epsilon zeta eta theta.\nrecord000829: alpha beta gamma delta epsilon zeta eta theta.\nrecord000830: alpha beta gamma delta epsilon zeta eta theta.\nrecord000831: alpha beta gamma delta epsilon zeta eta theta.\nrecord000832: alpha beta gamma delta epsilon zeta eta theta.\nrecord000833: alpha beta gamma delta epsilon zeta eta theta.\nrecord000834: alpha beta gamma delta epsilon zeta eta theta.\nrecord000835: alpha beta gamma delta epsilon zeta eta theta.\nrecord000836: alpha beta gamma delta epsilon zeta eta theta.\nrecord000837: alpha beta gamma delta epsilon zeta eta theta.\nrecord000838: alpha beta gamma delta epsilon zeta eta theta.\nrecord000839: alpha beta gamma delta epsilon zeta eta theta.\nrecord000840: alpha beta gamma delta epsilon zeta eta theta.\nrecord000841: alpha beta gamma delta epsilon zeta eta theta.\nrecord000842: alpha beta gamma delta epsilon zeta eta theta.\nrecord000843: alpha beta gamma delta epsilon zeta eta theta.\nrecord000844: alpha beta gamma delta epsilon zeta eta theta.\nrecord000845: alpha beta gamma delta epsilon zeta eta theta.\nrecord000846: alpha beta gamma delta epsilon zeta eta theta.\nrecord000847: alpha beta gamma delta epsilon zeta eta theta.\nrecord000848: alpha beta gamma delta epsilon zeta eta theta.\nrecord000849: alpha beta gamma delta epsilon zeta eta theta.\nrecord000850: alpha beta gamma delta epsilon zeta eta theta.\nrecord000851: alpha beta gamma delta epsilon zeta eta theta.\nrecord000852: alpha beta gamma delta epsilon zeta eta theta.\nrecord000853: alpha beta gamma delta epsilon zeta eta theta.\nrecord000854: alpha beta gamma delta epsilon zeta eta theta.\nrecord000855: alpha beta gamma delta epsilon zeta eta theta.\nrecord000856: alpha beta gamma delta epsilon zeta eta theta.\nrecord000857: alpha beta gamma delta epsilon zeta eta theta.\nrecord000858: alpha beta gamma delta epsilon zeta eta theta.\nSummarize the structure of these records and explain how to look up a record by its ID."}], "tools": null, "final_answer": "Each record has the same simple structure:\n\n```text\nrecord000001: alpha beta gamma delta epsilon zeta eta theta.\n```\n\nSo each line contains:\n\n- **Record ID**: `record` followed by a six-digit zero-padded number \n - Example: `record000001`, `record000042`, `record000858`\n- **Separator**: a colon and space `: `\n- **Record value**: the fixed sequence \n", "reasoning": "We need respond to user. User provided a huge list of records (record000001 to record000858?) each same content: \"alpha beta gamma delta epsilon zeta eta theta.\" They ask: \"Summarize the structure of these records and explain how to look up a record by its ID.\"\n\nNeed produce final answer. Need think in English? User request English. Need maybe include structure: each line is a record with ID field \"record\" + six-digit zero-padded number, colon, value sequence of eight Greek alphabet names. IDs sequential 1..858? Need verify last is record000858. Yes. All values identical. Need explain lookup: parse line, find ID, match zero-padded ID, maybe use data structure map/hash, binary search due sequential IDs, construct key recordNNNNNN, ensure zero padding. Maybe include examples: lookup record000042 -> alpha beta gamma delta epsilon zeta eta theta. Could mention if missing? Since all present. Also maybe summarize size 858 records. Could explain format in fields.\n\nNeed careful: The list maybe truncated? It includes up to 858, not 16k? case prompt 16k but only 858 records. We should answer only visible records. Structure: each record line: key = record + 6-digit decimal zero-padded; separator colon-space; value = fixed token list of eight words: alpha beta gamma delta epsilon zeta eta theta. The records are ordered by numeric ID ascending. Need look up: normalize desired ID to 6 digits, search line beginning with ID + \":\" or map from ID to tokens. If using program: split at first colon, left part key. Or if array indexed by ID: records[id-1] due sequential. Could mention case-sensitive.\n\nFinal answer concise but enough. Ensure not too much.\n", "tool_calls": [], "finish_reason": "length", "usage": {"prompt_tokens": 16387, "completion_tokens": 512, "total_tokens": 16899, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 16387, "prompt_ms": 2727.6, "prompt_per_token_ms": 0.166, "prompt_per_second": 6007.8, "predicted_n": 512, "predicted_ms": 4088.0, "predicted_per_token_ms": 7.984, "predicted_per_second": 125.2, "draft_n": 381, "draft_n_accepted": 231}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 6.835058, "first_delta": {"offset_s": 2.754888, "kind": "reasoning"}, "first_answer_offset_s": 6.23077, "client_events": [[2.754888, "reasoning"], [2.775215, "reasoning"], [2.775241, "reasoning"], [2.795262, "reasoning"], [2.795288, "reasoning"], [2.795318, "reasoning"], [2.795356, "reasoning"], [2.803786, "reasoning"], [2.817244, "reasoning"], [2.830369, "reasoning"], [2.835926, "reasoning"], [2.850947, "reasoning"], [2.850974, "reasoning"], 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theta.\nrecord000194: alpha beta gamma delta epsilon zeta eta theta.\nrecord000195: alpha beta gamma delta epsilon zeta eta theta.\nrecord000196: alpha beta gamma delta epsilon zeta eta theta.\nrecord000197: alpha beta gamma delta epsilon zeta eta theta.\nrecord000198: alpha beta gamma delta epsilon zeta eta theta.\nrecord000199: alpha beta gamma delta epsilon zeta eta theta.\nrecord000200: alpha beta gamma delta epsilon zeta eta theta.\nrecord000201: alpha beta gamma delta epsilon zeta eta theta.\nrecord000202: alpha beta gamma delta epsilon zeta eta theta.\nrecord000203: alpha beta gamma delta epsilon zeta eta theta.\nrecord000204: alpha beta gamma delta epsilon zeta eta theta.\nrecord000205: alpha beta gamma delta epsilon zeta eta theta.\nrecord000206: alpha beta gamma delta epsilon zeta eta theta.\nrecord000207: alpha beta gamma delta epsilon zeta eta theta.\nrecord000208: alpha beta gamma delta epsilon zeta eta theta.\nrecord000209: alpha beta gamma delta epsilon zeta eta theta.\nrecord000210: alpha beta gamma delta epsilon zeta eta theta.\nrecord000211: alpha beta gamma delta epsilon zeta eta theta.\nWhat is access_code? Reply only with its value."}], "tools": null, "final_answer": "ORBIT-731", "reasoning": "We need answer user's request. User provided a long log with access_code = ORBIT-731 among records and asks What is access_code? Reply only with its value. Need output only value. Final: ORBIT-731. Ensure no extra text.\n", "tool_calls": [], "finish_reason": "stop", "usage": {"prompt_tokens": 4089, "completion_tokens": 66, "total_tokens": 4155, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 4089, "prompt_ms": 812.6, "prompt_per_token_ms": 0.199, "prompt_per_second": 5032.0, "predicted_n": 66, "predicted_ms": 402.8, "predicted_per_token_ms": 6.103, "predicted_per_second": 163.9, "draft_n": 56, "draft_n_accepted": 40}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 1.223135, "first_delta": {"offset_s": 0.831015, "kind": "reasoning"}, "first_answer_offset_s": 1.202304, "client_events": [[0.831015, "reasoning"], [0.850557, "reasoning"], [0.850596, "reasoning"], [0.850634, "reasoning"], [0.850672, "reasoning"], [0.857455, "reasoning"], [0.857474, "reasoning"], [0.857536, "reasoning"], [0.87004, "reasoning"], [0.882829, "reasoning"], [0.895961, "reasoning"], [0.90866, "reasoning"], [0.928415, "reasoning"], [0.928455, 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eta theta.\nrecord000006: alpha beta gamma delta epsilon zeta eta theta.\nrecord000007: alpha beta gamma delta epsilon zeta eta theta.\nrecord000008: alpha beta gamma delta epsilon zeta eta theta.\nrecord000009: alpha beta gamma delta epsilon zeta eta theta.\nrecord000010: alpha beta gamma delta epsilon zeta eta theta.\nrecord000011: alpha beta gamma delta epsilon zeta eta theta.\nrecord000012: alpha beta gamma delta epsilon zeta eta theta.\nrecord000013: alpha beta gamma delta epsilon zeta eta theta.\nrecord000014: alpha beta gamma delta epsilon zeta eta theta.\nrecord000015: alpha beta gamma delta epsilon zeta eta theta.\nrecord000016: alpha beta gamma delta epsilon zeta eta theta.\nrecord000017: alpha beta gamma delta epsilon zeta eta theta.\nrecord000018: alpha beta gamma delta epsilon zeta eta theta.\nrecord000019: alpha beta gamma delta epsilon zeta eta theta.\nrecord000020: alpha beta gamma delta epsilon zeta eta theta.\nrecord000021: alpha beta gamma delta epsilon zeta eta theta.\nrecord000022: alpha beta gamma delta epsilon zeta eta theta.\nrecord000023: alpha beta gamma delta epsilon zeta eta theta.\nrecord000024: alpha beta gamma delta epsilon zeta eta theta.\nrecord000025: alpha beta gamma delta epsilon zeta eta theta.\nrecord000026: alpha beta gamma delta epsilon zeta eta theta.\nrecord000027: alpha beta gamma delta epsilon zeta eta theta.\nrecord000028: alpha beta gamma delta epsilon zeta eta theta.\nrecord000029: alpha beta gamma delta epsilon zeta eta theta.\nrecord000030: alpha beta gamma delta epsilon zeta eta theta.\nrecord000031: alpha beta gamma delta epsilon zeta eta theta.\nrecord000032: alpha beta gamma delta epsilon zeta eta theta.\nrecord000033: alpha beta gamma delta epsilon zeta eta theta.\nrecord000034: alpha beta gamma delta epsilon zeta eta theta.\nrecord000035: alpha beta gamma delta epsilon zeta eta theta.\nrecord000036: alpha beta gamma delta epsilon zeta eta theta.\nrecord000037: alpha beta gamma delta epsilon zeta eta theta.\nrecord000038: alpha beta gamma delta epsilon zeta eta theta.\nrecord000039: alpha beta gamma delta epsilon zeta eta theta.\nrecord000040: alpha beta gamma delta epsilon zeta eta theta.\nrecord000041: alpha beta gamma delta epsilon zeta eta theta.\nrecord000042: alpha beta gamma delta epsilon zeta eta theta.\nrecord000043: alpha beta gamma delta epsilon zeta eta theta.\nrecord000044: alpha beta gamma delta epsilon zeta eta theta.\nrecord000045: alpha beta gamma delta epsilon zeta eta theta.\nrecord000046: alpha beta gamma delta epsilon zeta eta theta.\nrecord000047: alpha beta gamma delta epsilon zeta eta theta.\nrecord000048: alpha beta gamma delta epsilon zeta eta theta.\nrecord000049: alpha beta gamma delta epsilon zeta eta theta.\nrecord000050: alpha beta gamma delta epsilon zeta eta theta.\nrecord000051: alpha beta gamma delta epsilon zeta eta theta.\nrecord000052: alpha beta gamma delta epsilon zeta eta theta.\nrecord000053: alpha beta gamma delta epsilon zeta eta theta.\nrecord000054: alpha beta gamma delta epsilon zeta eta theta.\nrecord000055: alpha beta gamma delta epsilon zeta eta theta.\nrecord000056: alpha beta gamma delta epsilon zeta eta theta.\nrecord000057: alpha beta gamma delta epsilon zeta eta theta.\nrecord000058: alpha beta gamma delta epsilon zeta eta theta.\nrecord000059: alpha beta gamma delta epsilon zeta eta theta.\nrecord000060: alpha beta gamma delta epsilon zeta eta theta.\nrecord000061: alpha beta gamma delta epsilon zeta eta theta.\nrecord000062: alpha beta gamma delta epsilon zeta eta theta.\nrecord000063: alpha beta gamma delta epsilon zeta eta theta.\nrecord000064: alpha beta gamma delta epsilon zeta eta theta.\nrecord000065: alpha beta gamma delta epsilon zeta eta theta.\nrecord000066: alpha beta gamma delta epsilon zeta eta theta.\nrecord000067: alpha beta gamma delta epsilon zeta eta theta.\nrecord000068: alpha beta gamma delta epsilon zeta eta theta.\nrecord000069: alpha beta gamma delta epsilon zeta eta 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theta.\nrecord000086: alpha beta gamma delta epsilon zeta eta theta.\nrecord000087: alpha beta gamma delta epsilon zeta eta theta.\nrecord000088: alpha beta gamma delta epsilon zeta eta theta.\nrecord000089: alpha beta gamma delta epsilon zeta eta theta.\nrecord000090: alpha beta gamma delta epsilon zeta eta theta.\nrecord000091: alpha beta gamma delta epsilon zeta eta theta.\nrecord000092: alpha beta gamma delta epsilon zeta eta theta.\nrecord000093: alpha beta gamma delta epsilon zeta eta theta.\nrecord000094: alpha beta gamma delta epsilon zeta eta theta.\nrecord000095: alpha beta gamma delta epsilon zeta eta theta.\nrecord000096: alpha beta gamma delta epsilon zeta eta theta.\nrecord000097: alpha beta gamma delta epsilon zeta eta theta.\nrecord000098: alpha beta gamma delta epsilon zeta eta theta.\nrecord000099: alpha beta gamma delta epsilon zeta eta theta.\nrecord000100: alpha beta gamma delta epsilon zeta eta theta.\nrecord000101: alpha beta gamma delta epsilon zeta eta theta.\nrecord000102: alpha beta gamma delta epsilon zeta eta theta.\nrecord000103: alpha beta gamma delta epsilon zeta eta theta.\nrecord000104: alpha beta gamma delta epsilon zeta eta theta.\nrecord000105: alpha beta gamma delta epsilon zeta eta theta.\nstorage_label = CEDAR-284\nrecord000106: alpha beta gamma delta epsilon zeta eta theta.\nrecord000107: alpha beta gamma delta epsilon zeta eta theta.\nrecord000108: alpha beta gamma delta epsilon zeta eta theta.\nrecord000109: alpha beta gamma delta epsilon zeta eta theta.\nrecord000110: alpha beta gamma delta epsilon zeta eta theta.\nrecord000111: alpha beta gamma delta epsilon zeta eta theta.\nrecord000112: alpha beta gamma delta epsilon zeta eta theta.\nrecord000113: alpha beta gamma delta epsilon zeta eta theta.\nrecord000114: alpha beta gamma delta epsilon zeta eta theta.\nrecord000115: alpha beta gamma delta epsilon zeta eta theta.\nrecord000116: alpha beta gamma delta epsilon zeta eta theta.\nrecord000117: alpha beta gamma delta epsilon zeta eta theta.\nrecord000118: alpha beta gamma delta epsilon zeta eta theta.\nrecord000119: alpha beta gamma delta epsilon zeta eta theta.\nrecord000120: alpha beta gamma delta epsilon zeta eta theta.\nrecord000121: alpha beta gamma delta epsilon zeta eta theta.\nrecord000122: alpha beta gamma delta epsilon zeta eta theta.\nrecord000123: alpha beta gamma delta epsilon zeta eta theta.\nrecord000124: alpha beta gamma delta epsilon zeta eta theta.\nrecord000125: alpha beta gamma delta epsilon zeta eta theta.\nrecord000126: alpha beta gamma delta epsilon zeta eta theta.\nrecord000127: alpha beta gamma delta epsilon zeta eta theta.\nrecord000128: alpha beta gamma delta epsilon zeta eta theta.\nrecord000129: alpha beta gamma delta epsilon zeta eta theta.\nrecord000130: alpha beta gamma delta epsilon zeta eta theta.\nrecord000131: alpha beta gamma delta epsilon zeta eta theta.\nrecord000132: alpha beta gamma delta epsilon zeta eta theta.\nrecord000133: alpha beta gamma delta epsilon zeta eta theta.\nrecord000134: alpha beta gamma delta epsilon zeta eta theta.\nrecord000135: alpha beta gamma delta epsilon zeta eta theta.\nrecord000136: alpha beta gamma delta epsilon zeta eta theta.\nrecord000137: alpha beta gamma delta epsilon zeta eta theta.\nrecord000138: alpha beta gamma delta epsilon zeta eta theta.\nrecord000139: alpha beta gamma delta epsilon zeta eta theta.\nrecord000140: alpha beta gamma delta epsilon zeta eta theta.\nrecord000141: alpha beta gamma delta epsilon zeta eta theta.\nrecord000142: alpha beta gamma delta epsilon zeta eta theta.\nrecord000143: alpha beta gamma delta epsilon zeta eta theta.\nrecord000144: alpha beta gamma delta epsilon zeta eta theta.\nrecord000145: alpha beta gamma delta epsilon zeta eta theta.\nrecord000146: alpha beta gamma delta epsilon zeta eta theta.\nrecord000147: alpha beta gamma delta epsilon zeta eta theta.\nrecord000148: alpha beta gamma delta epsilon zeta eta theta.\nrecord000149: alpha beta gamma delta epsilon zeta eta theta.\nrecord000150: alpha beta gamma delta epsilon zeta eta theta.\nrecord000151: alpha beta gamma delta epsilon zeta eta theta.\nrecord000152: alpha beta gamma delta epsilon zeta eta theta.\nrecord000153: alpha beta gamma delta epsilon zeta eta theta.\nrecord000154: alpha beta gamma delta epsilon zeta eta theta.\nrecord000155: alpha beta gamma delta epsilon zeta eta theta.\nrecord000156: alpha beta gamma delta epsilon zeta eta theta.\nrecord000157: alpha beta gamma delta epsilon zeta eta theta.\nrecord000158: alpha beta gamma delta epsilon zeta eta theta.\nrecord000159: alpha beta gamma delta epsilon zeta eta theta.\nrecord000160: alpha beta gamma delta epsilon zeta eta theta.\nrecord000161: alpha beta gamma delta epsilon zeta eta theta.\nrecord000162: alpha beta gamma delta epsilon zeta eta theta.\nrecord000163: alpha beta gamma delta epsilon zeta eta theta.\nrecord000164: alpha beta gamma delta epsilon zeta eta theta.\nrecord000165: alpha beta gamma delta epsilon zeta eta theta.\nrecord000166: alpha beta gamma delta epsilon zeta eta theta.\nrecord000167: alpha beta gamma delta epsilon zeta eta theta.\nrecord000168: alpha beta gamma delta epsilon zeta eta theta.\nrecord000169: alpha beta gamma delta epsilon zeta eta theta.\nrecord000170: alpha beta gamma delta epsilon zeta eta theta.\nrecord000171: alpha beta gamma delta epsilon zeta eta theta.\nrecord000172: alpha beta gamma delta epsilon zeta eta theta.\nrecord000173: alpha beta gamma delta epsilon zeta eta theta.\nrecord000174: alpha beta gamma delta epsilon zeta eta theta.\nrecord000175: alpha beta gamma delta epsilon zeta eta theta.\nrecord000176: alpha beta gamma delta epsilon zeta eta theta.\nrecord000177: alpha beta gamma delta epsilon zeta eta theta.\nrecord000178: alpha beta gamma delta epsilon zeta eta theta.\nrecord000179: alpha beta gamma delta epsilon zeta eta theta.\nrecord000180: alpha beta gamma delta epsilon zeta eta theta.\nrecord000181: alpha beta gamma delta epsilon zeta eta theta.\nrecord000182: alpha beta gamma delta epsilon zeta eta theta.\nrecord000183: alpha beta gamma delta epsilon zeta eta theta.\nrecord000184: alpha beta gamma delta epsilon zeta eta theta.\nrecord000185: alpha beta gamma delta epsilon zeta eta theta.\nrecord000186: alpha beta gamma delta epsilon zeta eta theta.\nrecord000187: alpha beta gamma delta epsilon zeta eta theta.\nrecord000188: alpha beta gamma delta epsilon zeta eta theta.\nrecord000189: alpha beta gamma delta epsilon zeta eta theta.\nrecord000190: alpha beta gamma delta epsilon zeta eta theta.\nrecord000191: alpha beta gamma delta epsilon zeta eta theta.\nrecord000192: alpha beta gamma delta epsilon zeta eta theta.\nrecord000193: alpha beta gamma delta epsilon zeta eta theta.\nrecord000194: alpha beta gamma delta epsilon zeta eta theta.\nrecord000195: alpha beta gamma delta epsilon zeta eta theta.\nrecord000196: alpha beta gamma delta epsilon zeta eta theta.\nrecord000197: alpha beta gamma delta epsilon zeta eta theta.\nrecord000198: alpha beta gamma delta epsilon zeta eta theta.\nrecord000199: alpha beta gamma delta epsilon zeta eta theta.\nrecord000200: alpha beta gamma delta epsilon zeta eta theta.\nrecord000201: alpha beta gamma delta epsilon zeta eta theta.\nrecord000202: alpha beta gamma delta epsilon zeta eta theta.\nrecord000203: alpha beta gamma delta epsilon zeta eta theta.\nrecord000204: alpha beta gamma delta epsilon zeta eta theta.\nrecord000205: alpha beta gamma delta epsilon zeta eta theta.\nrecord000206: alpha beta gamma delta epsilon zeta eta theta.\nrecord000207: alpha beta gamma delta epsilon zeta eta theta.\nrecord000208: alpha beta gamma delta epsilon zeta eta theta.\nrecord000209: alpha beta gamma delta epsilon zeta eta theta.\nrecord000210: alpha beta gamma delta epsilon zeta eta theta.\nrecord000211: alpha beta gamma delta epsilon zeta eta theta.\nWhat is storage_label? Reply only with its value."}], "tools": null, "final_answer": "CEDAR-284", "reasoning": "We need answer user's request. User provided many records and asks: What is storage_label? Reply only with its value. In text: \"storage_label = CEDAR-284\". Need output only value CEDAR-284. Ensure no extra. Done.\n", "tool_calls": [], "finish_reason": "stop", "usage": {"prompt_tokens": 4089, "completion_tokens": 66, "total_tokens": 4155, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 4089, "prompt_ms": 857.4, "prompt_per_token_ms": 0.21, "prompt_per_second": 4769.1, "predicted_n": 66, "predicted_ms": 331.6, "predicted_per_token_ms": 5.024, "predicted_per_second": 199.0, "draft_n": 55, "draft_n_accepted": 42}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 1.197317, "first_delta": {"offset_s": 0.876742, "kind": "reasoning"}, "first_answer_offset_s": 1.162315, "client_events": [[0.876742, "reasoning"], [0.896229, "reasoning"], [0.89625, "reasoning"], [0.896295, "reasoning"], [0.896334, "reasoning"], [0.904408, "reasoning"], [0.904429, "reasoning"], [0.916948, "reasoning"], [0.921966, "reasoning"], [0.93097, "reasoning"], [0.94085, "reasoning"], [0.940875, "reasoning"], [0.940893, "reasoning"], [0.960778, "reasoning"], 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Reply only with its value."}], "tools": null, "final_answer": "DELTA-906", "reasoning": "We need answer user asks \"What is archive_code? Reply only with its value.\" Need extract from text: archive_code = DELTA-906. Need final only value. 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theta.\nrecord000812: alpha beta gamma delta epsilon zeta eta theta.\nrecord000813: alpha beta gamma delta epsilon zeta eta theta.\nrecord000814: alpha beta gamma delta epsilon zeta eta theta.\nrecord000815: alpha beta gamma delta epsilon zeta eta theta.\nrecord000816: alpha beta gamma delta epsilon zeta eta theta.\nrecord000817: alpha beta gamma delta epsilon zeta eta theta.\nrecord000818: alpha beta gamma delta epsilon zeta eta theta.\nrecord000819: alpha beta gamma delta epsilon zeta eta theta.\nrecord000820: alpha beta gamma delta epsilon zeta eta theta.\nrecord000821: alpha beta gamma delta epsilon zeta eta theta.\nrecord000822: alpha beta gamma delta epsilon zeta eta theta.\nrecord000823: alpha beta gamma delta epsilon zeta eta theta.\nrecord000824: alpha beta gamma delta epsilon zeta eta theta.\nrecord000825: alpha beta gamma delta epsilon zeta eta theta.\nrecord000826: alpha beta gamma delta epsilon zeta eta theta.\nrecord000827: alpha beta gamma delta epsilon zeta eta theta.\nrecord000828: alpha beta gamma delta epsilon zeta eta theta.\nrecord000829: alpha beta gamma delta epsilon zeta eta theta.\nrecord000830: alpha beta gamma delta epsilon zeta eta theta.\nrecord000831: alpha beta gamma delta epsilon zeta eta theta.\nrecord000832: alpha beta gamma delta epsilon zeta eta theta.\nrecord000833: alpha beta gamma delta epsilon zeta eta theta.\nrecord000834: alpha beta gamma delta epsilon zeta eta theta.\nrecord000835: alpha beta gamma delta epsilon zeta eta theta.\nrecord000836: alpha beta gamma delta epsilon zeta eta theta.\nrecord000837: alpha beta gamma delta epsilon zeta eta theta.\nrecord000838: alpha beta gamma delta epsilon zeta eta theta.\nrecord000839: alpha beta gamma delta epsilon zeta eta theta.\nrecord000840: alpha beta gamma delta epsilon zeta eta theta.\nrecord000841: alpha beta gamma delta epsilon zeta eta theta.\nrecord000842: alpha beta gamma delta epsilon zeta eta theta.\nrecord000843: alpha beta gamma delta epsilon zeta eta theta.\nrecord000844: alpha beta gamma delta epsilon zeta eta theta.\nrecord000845: alpha beta gamma delta epsilon zeta eta theta.\nrecord000846: alpha beta gamma delta epsilon zeta eta theta.\nrecord000847: alpha beta gamma delta epsilon zeta eta theta.\nrecord000848: alpha beta gamma delta epsilon zeta eta theta.\nrecord000849: alpha beta gamma delta epsilon zeta eta theta.\nrecord000850: alpha beta gamma delta epsilon zeta eta theta.\nrecord000851: alpha beta gamma delta epsilon zeta eta theta.\nrecord000852: alpha beta gamma delta epsilon zeta eta theta.\nrecord000853: alpha beta gamma delta epsilon zeta eta theta.\nrecord000854: alpha beta gamma delta epsilon zeta eta theta.\nrecord000855: alpha beta gamma delta epsilon zeta eta theta.\nrecord000856: alpha beta gamma delta epsilon zeta eta theta.\nrecord000857: alpha beta gamma delta epsilon zeta eta theta.\nrecord000858: alpha beta gamma delta epsilon zeta eta theta.\nReturn only a JSON object containing north and south and their values."}], "tools": null, "final_answer": "{\n \"north\": \"N-124\",\n \"south\": \"S-875\"\n}", "reasoning": "We need answer user's request. User gave a long text with records and lines:\n[case sanity-R4]\n...\nnorth = N-124\n...\nsouth = S-875\n...\nReturn only a JSON object containing north and south and their values.\nNeed output JSON only. Need parse values: north = N-124, south = S-875. Ensure JSON object containing north and south and their values. Probably {\"north\":\"N-124\",\"south\":\"S-875\"}.\nNeed final only JSON. No extra. Ensure no markdown.\n", "tool_calls": [], "finish_reason": "stop", "usage": {"prompt_tokens": 16390, "completion_tokens": 160, "total_tokens": 16550, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 16390, "prompt_ms": 2840.3, "prompt_per_token_ms": 0.173, "prompt_per_second": 5770.5, "predicted_n": 160, "predicted_ms": 836.1, "predicted_per_token_ms": 5.226, "predicted_per_second": 191.4, "draft_n": 120, "draft_n_accepted": 106}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 3.695788, "first_delta": {"offset_s": 2.868462, "kind": "reasoning"}, "first_answer_offset_s": 3.57456, "client_events": [[2.868462, "reasoning"], [2.889393, "reasoning"], [2.88942, "reasoning"], [2.889449, "reasoning"], [2.889479, "reasoning"], [2.898123, "reasoning"], [2.898157, "reasoning"], [2.898192, "reasoning"], [2.910837, "reasoning"], [2.924643, "reasoning"], [2.93739, "reasoning"], [2.950705, "reasoning"], [2.966947, "reasoning"], [2.966978, "reasoning"], [2.975107, "reasoning"], [2.97514, "reasoning"], [2.995864, "reasoning"], [2.995903, "reasoning"], [3.008596, "reasoning"], [3.029067, "reasoning"], [3.029119, "reasoning"], [3.029148, "reasoning"], [3.029181, "reasoning"], [3.036366, "reasoning"], [3.0364, "reasoning"], [3.036433, "reasoning"], [3.052588, "reasoning"], [3.052609, "reasoning"], [3.074131, "reasoning"], [3.074194, "reasoning"], [3.074247, "reasoning"], [3.0743, "reasoning"], [3.082589, "reasoning"], [3.08262, "reasoning"], [3.082657, "reasoning"], [3.082691, "reasoning"], [3.103974, "reasoning"], [3.104014, "reasoning"], [3.124859, "reasoning"], [3.124887, "reasoning"], [3.124923, "reasoning"], [3.124956, "reasoning"], [3.133505, "reasoning"], [3.133537, "reasoning"], [3.133574, "reasoning"], [3.133609, "reasoning"], [3.155199, "reasoning"], [3.155219, "reasoning"], [3.155256, "reasoning"], [3.155288, "reasoning"], [3.163763, "reasoning"], [3.163795, "reasoning"], [3.163833, "reasoning"], [3.163872, "reasoning"], [3.184166, "reasoning"], [3.184244, "reasoning"], [3.184264, "reasoning"], [3.184279, "reasoning"], [3.205896, "reasoning"], [3.205923, "reasoning"], [3.205955, "reasoning"], [3.22161, "reasoning"], [3.221629, "reasoning"], [3.230937, "reasoning"], [3.230965, "reasoning"], [3.230994, "reasoning"], [3.231023, "reasoning"], [3.243744, "reasoning"], [3.259137, "reasoning"], [3.279659, "reasoning"], [3.279691, "reasoning"], [3.279725, "reasoning"], [3.279758, "reasoning"], [3.288398, "reasoning"], [3.288431, "reasoning"], [3.288464, "reasoning"], [3.288498, "reasoning"], [3.309671, "reasoning"], [3.309698, "reasoning"], [3.309734, "reasoning"], [3.309766, "reasoning"], [3.318558, "reasoning"], [3.318577, "reasoning"], [3.318614, "reasoning"], [3.318646, "reasoning"], [3.334625, "reasoning"], [3.334659, "reasoning"], [3.35575, "reasoning"], [3.371163, "reasoning"], [3.371197, "reasoning"], [3.391474, "reasoning"], [3.39151, "reasoning"], [3.391544, "reasoning"], [3.391577, "reasoning"], [3.412274, "reasoning"], [3.412297, "reasoning"], [3.412327, "reasoning"], [3.412362, "reasoning"], [3.430893, "reasoning"], [3.430919, "reasoning"], [3.451314, "reasoning"], [3.451342, "reasoning"], [3.451375, "reasoning"], [3.451407, "reasoning"], [3.459962, "reasoning"], [3.459991, "reasoning"], [3.460024, "reasoning"], [3.460058, "reasoning"], [3.482283, "reasoning"], [3.482318, "reasoning"], [3.482351, "reasoning"], [3.482384, "reasoning"], [3.49084, "reasoning"], [3.490869, "reasoning"], [3.490912, "reasoning"], [3.490927, "reasoning"], [3.500747, "reasoning"], [3.50833, "reasoning"], [3.508356, "reasoning"], [3.524172, "reasoning"], [3.524188, "reasoning"], [3.524223, "reasoning"], [3.524252, "reasoning"], [3.545576, "reasoning"], [3.545596, "reasoning"], [3.54563, "reasoning"], [3.566037, "reasoning"], [3.566121, "reasoning"], [3.56616, "reasoning"], [3.566198, "reasoning"], [3.57456, "answer"], [3.595179, "answer"], [3.595213, "answer"], [3.595247, "answer"], [3.615596, "answer"], [3.615627, "answer"], [3.615661, "answer"], [3.615694, "answer"], [3.624167, "answer"], [3.624187, "answer"], [3.624217, "answer"], [3.624246, "answer"], [3.641418, "answer"], [3.641435, "answer"], [3.641469, "answer"], [3.661937, "answer"], [3.661969, "answer"], [3.662003, "answer"], [3.662038, "answer"], [3.670646, "answer"], [3.670665, "answer"], [3.670701, "answer"], [3.670735, "answer"], [3.691335, "answer"]]} +{"request_id": "sanity-T1", "phase": "sanity", "case_id": "T1", "request": {"stream": true, "stream_options": {"include_usage": true}, "max_tokens": 2048, "seed": 1, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}, "tool_choice": "auto"}, "messages": [{"role": "user", "content": "[case sanity-T1]\nUse lookup_record to look up record A-17."}], "tools": [{"type": "function", "function": {"name": "lookup_record", "description": "Synthetic benchmark lookup; no external action is performed.", "parameters": {"type": "object", "properties": {"id": {"type": "string"}}, "required": ["id"], "additionalProperties": false}}}], "final_answer": "", "reasoning": "The user wants me to look up record A-17 using the lookup_record tool. This is a simple, straightforward request. I'll make the call.\n", "tool_calls": [{"id": "call_2b9f58dfa2f84fcdb73a758d", "name": "lookup_record", "arguments": "{\"id\":\"A-17\"}"}], "finish_reason": "tool_calls", "usage": {"prompt_tokens": 325, "completion_tokens": 64, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 325, "prompt_ms": 376.3, "prompt_per_token_ms": 1.158, "prompt_per_second": 863.7, "predicted_n": 64, "predicted_ms": 299.9, "predicted_per_token_ms": 4.686, "predicted_per_second": 213.4, "draft_n": 56, "draft_n_accepted": 43}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 0.682209, "first_delta": {"offset_s": 0.393399, "kind": "reasoning"}, "first_answer_offset_s": 0.598261, "client_events": [[0.393399, "reasoning"], [0.412062, "reasoning"], [0.412084, "reasoning"], [0.430602, "reasoning"], [0.430632, "reasoning"], [0.430675, "reasoning"], [0.430714, "reasoning"], [0.436385, "reasoning"], [0.455799, "reasoning"], [0.455829, "reasoning"], [0.455871, "reasoning"], [0.455909, "reasoning"], [0.463638, "reasoning"], [0.463659, "reasoning"], [0.463719, "reasoning"], [0.463755, "reasoning"], [0.479473, "reasoning"], [0.479498, "reasoning"], [0.47953, "reasoning"], [0.498098, "reasoning"], [0.498124, "reasoning"], [0.498152, "reasoning"], [0.49819, "reasoning"], [0.517326, "reasoning"], [0.517352, "reasoning"], [0.51738, "reasoning"], [0.517421, "reasoning"], [0.524651, "reasoning"], [0.543788, "reasoning"], [0.562892, "reasoning"], [0.562923, "reasoning"], [0.562958, "reasoning"], [0.563, "reasoning"], [0.598261, "tool_call"], [0.598292, "tool_call"], [0.629399, "tool_call"], [0.629428, "tool_call"], [0.629463, "tool_call"], [0.629509, "tool_call"], [0.636848, "tool_call"], [0.636877, "tool_call"], [0.682134, "tool_call"], [0.682162, "tool_call"]]} +{"request_id": "sanity-T2", "phase": "sanity", "case_id": "T2", "request": {"stream": true, "stream_options": {"include_usage": true}, "max_tokens": 2048, "seed": 1, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}, "tool_choice": "auto"}, "messages": [{"role": "user", "content": "[case sanity-T2]\nUse get_weather for Zagreb in celsius."}], "tools": [{"type": "function", "function": {"name": "get_weather", "description": "Synthetic benchmark lookup; no external action is performed.", "parameters": {"type": "object", "properties": {"city": {"type": "string"}, "unit": {"type": "string"}}, "required": ["city", "unit"], "additionalProperties": false}}}], "final_answer": "", "reasoning": "The user wants me to call get_weather for Zagreb in celsius. Simple single call.\n", "tool_calls": [{"id": "call_9b9a5061d7c54f79878ec1a2", "name": "get_weather", "arguments": "{\"city\":\"Zagreb\",\"unit\":\"celsius\"}"}], "finish_reason": "tool_calls", "usage": {"prompt_tokens": 335, "completion_tokens": 63, "total_tokens": 398, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 335, "prompt_ms": 261.3, "prompt_per_token_ms": 0.78, "prompt_per_second": 1282.1, "predicted_n": 63, "predicted_ms": 282.0, "predicted_per_token_ms": 4.476, "predicted_per_second": 223.4, "draft_n": 54, "draft_n_accepted": 43}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 0.54823, "first_delta": {"offset_s": 0.277331, "kind": "reasoning"}, "first_answer_offset_s": 0.440619, "client_events": [[0.277331, "reasoning"], [0.296651, "reasoning"], [0.296681, "reasoning"], [0.296724, "reasoning"], [0.315763, "reasoning"], [0.315793, "reasoning"], [0.315837, "reasoning"], [0.335012, "reasoning"], [0.335042, "reasoning"], [0.335092, "reasoning"], [0.354168, "reasoning"], [0.354199, "reasoning"], [0.354243, "reasoning"], [0.354287, "reasoning"], [0.362064, "reasoning"], [0.381252, "reasoning"], [0.39351, "reasoning"], [0.413159, "reasoning"], [0.413185, "reasoning"], [0.413223, "reasoning"], [0.440619, "tool_call"], [0.440651, "tool_call"], [0.46432, "tool_call"], [0.46435, "tool_call"], [0.464382, "tool_call"], [0.472364, "tool_call"], [0.472392, "tool_call"], [0.497442, "tool_call"], [0.497471, "tool_call"], [0.497497, "tool_call"], [0.513268, "tool_call"], [0.513297, "tool_call"], [0.548156, "tool_call"], [0.548189, "tool_call"]]} +{"request_id": "sanity-T3", "phase": "sanity", "case_id": "T3", "request": {"stream": true, "stream_options": {"include_usage": true}, "max_tokens": 2048, "seed": 1, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}, "tool_choice": "auto"}, "messages": [{"role": "user", "content": "[case sanity-T3]\nUse convert_units to convert 3 km to m."}], "tools": [{"type": "function", "function": {"name": "convert_units", "description": "Synthetic benchmark lookup; no external action is performed.", "parameters": {"type": "object", "properties": {"value": {"type": "number"}, "from_unit": {"type": "string"}, "to_unit": {"type": "string"}}, "required": ["value", "from_unit", "to_unit"], "additionalProperties": false}}}], "final_answer": "", "reasoning": "The user wants me to use the convert_units tool to convert 3 km to m.\n", "tool_calls": [{"id": "call_90e37d24da7c411d8dd1d198", "name": "convert_units", "arguments": "{\"to_unit\":\"m\",\"value\":3,\"from_unit\":\"km\"}"}], "finish_reason": "tool_calls", "usage": {"prompt_tokens": 352, "completion_tokens": 73, "total_tokens": 425, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 352, "prompt_ms": 264.8, "prompt_per_token_ms": 0.752, "prompt_per_second": 1329.3, "predicted_n": 73, "predicted_ms": 282.8, "predicted_per_token_ms": 3.874, "predicted_per_second": 258.1, "draft_n": 57, "draft_n_accepted": 53}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 0.552599, "first_delta": {"offset_s": 0.280924, "kind": "reasoning"}, "first_answer_offset_s": 0.390979, "client_events": [[0.280924, "reasoning"], [0.299963, "reasoning"], [0.300027, "reasoning"], [0.300071, "reasoning"], [0.31913, "reasoning"], [0.319181, "reasoning"], [0.319224, "reasoning"], [0.319267, "reasoning"], [0.326682, "reasoning"], [0.326734, "reasoning"], [0.326777, "reasoning"], [0.326819, "reasoning"], [0.343848, "reasoning"], [0.343902, "reasoning"], [0.34397, "reasoning"], [0.34402, "reasoning"], [0.35167, "reasoning"], [0.351716, "reasoning"], [0.351762, "reasoning"], [0.390979, "tool_call"], [0.391012, "tool_call"], [0.418712, "tool_call"], [0.418729, "tool_call"], [0.418819, "tool_call"], [0.46751, "tool_call"], [0.467527, "tool_call"], [0.512709, "tool_call"], [0.512726, "tool_call"], [0.512742, "tool_call"], [0.520219, "tool_call"], [0.552487, "tool_call"], [0.552512, "tool_call"]]} +{"request_id": "sanity-T4", "phase": "sanity", "case_id": "T4", "request": {"stream": true, "stream_options": {"include_usage": true}, "max_tokens": 2048, "seed": 1, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}, "tool_choice": "auto"}, "messages": [{"role": "user", "content": "[case sanity-T4]\nUse get_build_status for project Orion, build 17."}], "tools": [{"type": "function", "function": {"name": "get_build_status", "description": "Synthetic benchmark lookup; no external action is performed.", "parameters": {"type": "object", "properties": {"project": {"type": "string"}, "build": {"type": "integer"}}, "required": ["project", "build"], "additionalProperties": false}}}], "final_answer": "", "reasoning": "The user wants me to call get_build_status for project Orion, build 17. Simple, single call.\n", "tool_calls": [{"id": "call_16d9768b06dd4d51ad70d4fd", "name": "get_build_status", "arguments": "{\"project\":\"Orion\",\"build\":17}"}], "finish_reason": "tool_calls", "usage": {"prompt_tokens": 339, "completion_tokens": 67, "total_tokens": 406, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 339, "prompt_ms": 263.7, "prompt_per_token_ms": 0.778, "prompt_per_second": 1285.6, "predicted_n": 67, "predicted_ms": 288.3, "predicted_per_token_ms": 4.303, "predicted_per_second": 232.4, "draft_n": 57, "draft_n_accepted": 46}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 0.556501, "first_delta": {"offset_s": 0.279355, "kind": "reasoning"}, "first_answer_offset_s": 0.435395, "client_events": [[0.279355, "reasoning"], [0.29814, "reasoning"], [0.29821, "reasoning"], [0.298261, "reasoning"], [0.298308, "reasoning"], [0.305813, "reasoning"], [0.305864, "reasoning"], [0.305911, "reasoning"], [0.305957, "reasoning"], [0.323185, "reasoning"], [0.323242, "reasoning"], [0.323286, "reasoning"], [0.3435, "reasoning"], [0.343551, "reasoning"], [0.343608, "reasoning"], [0.343639, "reasoning"], [0.351215, "reasoning"], [0.351262, "reasoning"], [0.351302, "reasoning"], [0.371311, "reasoning"], [0.383535, "reasoning"], [0.393757, "reasoning"], [0.393807, "reasoning"], [0.393856, "reasoning"], [0.435395, "tool_call"], [0.435417, "tool_call"], [0.460526, "tool_call"], [0.460545, "tool_call"], [0.460628, "tool_call"], [0.480358, "tool_call"], [0.505935, "tool_call"], [0.505953, "tool_call"], [0.55639, "tool_call"], [0.556409, "tool_call"]]} +{"request_id": "concurrency-r1-c1", "phase": "concurrency", "case_id": "short-burst", "request": {"stream": true, "stream_options": {"include_usage": true}, "max_tokens": 512, "seed": 1, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}}, "messages": [{"role": "user", "content": "[case concurrency-r1-c1]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "", "reasoning": "We need answer user: \"Explain how a hash table finds a value, including collisions and one small example. [case concurrency-r1-c1]\" Need likely provide concise explanation. Need maybe note concurrency-r1-c1? Could be case ID maybe not relevant. Need explain hash table find: compute hash(key), index, compare stored key, if collision handle (chaining or open addressing) and probe/check. Example small: hash table size 5, hash(key)=key mod 5, store \"apple\" maybe hash 1; \"banana\" hash? Need collisions: size 5: hash(key) = key % 5 for strings? Too arbitrary. Use integer keys 3 and 8 both hash 0 mod 4. Find 8: hash 8%4=0 bucket 0, compare stored keys; if chain, check 3 then 8. Or with open addressing linear probe: insert 5 into bucket 1 collision, probe next. Need include concurrency? The case concurrency-r1-c1 maybe asks concurrency? But question only hash table finds value. Maybe case ID indicates scenario? Could be from evaluation where need respond maybe with concurrency caveat? \"case concurrency-r1-c1\" might mean they expect mention if concurrent access? It says Explain how a hash table finds a value, including collisions and one small example. We can include short note: if concurrent, need synchronization or concurrent structure; hash function must be deterministic; but basic lookup doesn't depend on concurrency. Since case has concurrency-r1 maybe maybe they want concurrency issue? The prompt explicitly: [case concurrency-r1-c1] Explain... Could be hidden requirement to answer with a specific structure? But no extra. Let's think: It's a simple algorithm explanation. Need final only. Need be thorough but not too long. Include steps: compute hash, reduce to bucket index, access bucket, compare full keys; if collision: chaining traverses linked list/array; open addressing probes sequence until empty or matching key. Example: table size 4, hash(k)=k % 4. Insert 12 -> bucket0; insert 8 -> bucket0 collision -> chain. Lookup 8: hash=0, inspect chain [12,8], matches 8 return value. Mention if not found until null/empty. Also mention load factor? maybe not necessary. Concurrency note optional: Under concurrent reads/writes, lookup needs memory visibility/locks or lock-free concurrent hash table. 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finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table finds a value using the key’s hash code:\n\n1. **Hash the key**: Compute a hash value from the key, e.g. `hash(key)`.\n2. **Map to a bucket**: Use the hash to choose a bucket, often `hash(key) % bucket_count`.\n3. **Search the bucket**: Compare the target key with keys stored in that bucket.\n4. **Return the value**: If the key matches, return the associated value.\n\n**Collisions** occur when two keys hash to the same bucket. Common solutions:\n- **Separate chaining**: each bucket stores a linked list or array of key/value pairs.\n- **Open addressing**: if a bucket is occupied, probe another bucket until an empty one is found.\n\n**Small example**:\n\nInsert:\n```text\nput(\"apple\", 1)\nput(\"banana\", 2)\nput(\"orange\", 3)\n```\n\nAssume `\"apple\"` and `\"orange\"` both hash to bucket 2.\n\nBucket 2:\n```text\n(\"apple\", 1) -> (\"orange\", 3)\n```\n\nLookup:\n```text\nget(\"orange\")\n```\n\nThe table hashes `\"orange\"` to bucket 2, then compares the keys in that bucket:\n- `\"apple\"` ≠ `\"orange\"`\n- `\"orange\"` = `\"orange\"`\n\nReturns:\n```text\n3\n```", "reasoning": "We need answer user: \"Explain how a hash table finds a value, including collisions and one small example.\n\nNeed provide concise but clear. Maybe mention hash function, bucket, compare key, collisions chaining/open addressing, probe/linked list. Small example. No need overly complex. Ensure case concurrency-r1-c2? Maybe maybe expects something about concurrency? The label case concurrency-r1-c2 perhaps from eval? Could require mention thread safety? User specifically asks hash table finds value, collisions example. We can include note that standard lookup needs synchronization in concurrent environments? But not requested. Maybe include small example. 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"seed": 3, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}}, "messages": [{"role": "user", "content": "[case concurrency-r1-c3]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table stores key-value pairs by using a hash function to map a key to an array index.\n\n### How lookup works\n\n1. **Hash the key** \n The key is passed to a hash function, producing an integer.\n\n2. **Find the bucket/index** \n That integer is reduced to an array index, usually with modulo:\n \\[\n index = hash(key) \\mod tableSize\n \\]\n\n3. **Go to that index** \n The table looks at the bucket at that index.\n\n4. **Compare keys** \n If the bucket contains a stored key, the table compares it with the requested key. If the keys match, it returns the associated value.\n\n### Collisions\n\nA collision happens when two different keys produce the same index.\n\nCommon solutions:\n\n- **Separate chaining**: each bucket stores multiple entries, often in a linked list or array.\n- **Open addressing**: if a bucket is full, the table searches for the next available slot using a probe sequence.\n\n### Small example\n\nSuppose we have a hash table of size 3 and use a simple hash:\n\n```text\nhash(\"apple\") % 3 = 0\nhash(\"banana\") % 3 = 1\nhash(\"cherry\") % 3 = 0\n```\n\nInserting:\n\n```text\nindex 0: (\"apple\", 1)\nindex 1: (\"banana\", 2)\n```\n\nNow insert `(\"cherry\", 3)`. Its hash is also 0, causing a collision.\n\nUsing separate chaining:\n\n```text\nindex 0: (\"apple\", 1) -> (\"cherry\", 3)\nindex 1: (\"banana\", 2)\n```\n\nNow, to find `\"cherry\"`:\n\n1. Hash `\"cherry\"` → index 0\n2. Go to index 0\n3. Check `\"apple\"` → not a match\n4. Check `\"cherry\"` → match\n5. Return value `3`", "reasoning": "We need answer user: \"[case concurrency-r1-c3]\nExplain how a hash table finds a value, including collisions and one small example.\"\n\nNeed provide concise but thorough. Probably mention hash function, index, buckets, compare key, collisions via chaining/open addressing, example. Also maybe concurrency? case id maybe irrelevant. 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To find a value, it follows these steps:\n\n1. **Hash the key** \n The table applies a hash function to the key to compute an index, or bucket, in the array.\n\n2. **Go to that bucket** \n The computed index tells the hash table where the value might be stored.\n\n3. **Check the entry or entries in the bucket** \n - If the bucket contains a key equal to the searched key, the table returns the associated value.\n - If the bucket contains multiple keys, it compares them until it finds a match.\n - If no match is found, the key is not present.\n\n## Handling collisions\n\nA collision happens when two different keys hash to the same bucket.\n\nCommon solutions:\n\n- **Separate chaining:** each bucket holds a list of key-value pairs. The table searches the list for the matching key.\n- **Open addressing:** if the desired bucket is occupied, the table looks for another empty slot according to a probing rule, such as linear probing or quadratic probing.\n\n## Small example\n\nSuppose a hash table has 4 buckets: `[0, 1, 2, 3]`.\n\nWe store:\n\n```text\nput(\"apple\", 10)\nput(\"banana\", 20)\nput(\"cherry\", 30)\n```\n\nAssume the hash function produces:\n\n```text\nhash(\"apple\") % 4 = 1\nhash(\"banana\") % 4 = 1\nhash(\"cherry\") % 4 = 3\n```\n\nWith chaining, the buckets look like:\n\n```text\nbucket 0: empty\nbucket 1: (\"apple\", 10) -> (\"banana\", 20)\nbucket 2: empty\nbucket 3: (\"cherry\", 30)\n```\n\nTo find", "reasoning": "We need to answer user's request: \"[case concurrency-r1-c4]\nExplain how a hash table finds a value, including collisions and one small example.\"\n\nNeed produce final answer. Need likely no complex. User wants explanation. 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table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table finds a value by using the **key** to compute an index into an array-like table.\n\nSteps:\n\n1. **Hash the key**\n - Apply a hash function to the key to get an integer.\n\n2. **Map to a bucket/index**\n - Convert that integer into a valid table index, often using:\n ```text\n index = hash(key) % table_size\n ```\n\n3. **Look in that bucket**\n - Go directly to that index.\n\n4. **Compare keys**\n - If the bucket contains stored keys, compare them with the search key until one matches, then return its value.\n\n## Collisions\n\nA **collision** happens when two different keys hash to the same index.\n\nCommon handling methods:\n\n- **Separ", "reasoning": "We need answer user: \"Explain how a hash table finds a value, including collisions and one small example. Need produce final answer concise but thorough. Ensure mention hashing key to bucket/index, probing chaining, collisions when multiple keys same index, handle via separate chaining/open addressing, lookup follows bucket and compares keys. Small example: hash function sum chars mod 5 or mod table size. Keys \"cat\", \"dog\" collision? Need show. Could use table size 7, hash(key)= (first letter code mod 7?) Simpler: hash(key)=len(key) mod 5? collisions maybe. Or hash(\"cat\")=3? Need show value retrieval. Example: table size 5, hash(k)= (first character index?) Let's design simple deterministic. Use mod 3 maybe.\n\nLet's craft final: Steps: compute hash code, map to array index, access bucket, compare keys, return value. Collisions: different keys same index; separate chaining stores linked list/array per bucket; open addressing searches neighboring slots. Example table size 5 hash(k)= (sum chars) mod 5. \"cat\" c=3,a=1,t=20 sum 24 mod5=4. \"act\" sum 24 also index4 collision. Store chain at index4 [cat -> value A, act -> value B]. Find \"act\": hash to 4, walk chain compare keys, match act return B. Find missing: hash to 4 compare none return null. Need maybe mention performance average O(1), worst O(n) if many collisions, load factor/rehash.\n\nNeed final with headings? 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"user", "content": "[case concurrency-r2-c2]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table finds a value by turning the key into an array index and then checking the slot at that index.\n\n1. **Hash the key**: The hash table applies a hash function to the key, producing a number.\n Example: `hash(\"apple\")` might produce `1024`.\n\n2. **Convert to an index**: It usually uses the remainder when divided by the table size.\n Example: table size = 10 \n `1024 % 10 = 4` \n So it checks bucket 4.\n\n3. **Look in the bucket**: If the bucket contains an entry with the same key, it returns the associated value. If not, the key is not present, unless there are collisions.\n\n**Collisions** happen when two different keys hash to the same index.\n\nCommon handling methods:\n- **Chaining**: Each bucket stores a list of key/value pairs. On lookup, it searches the list for the exact key.\n- **Open addressing**: If a bucket is taken, the table searches for the next available slot using a probe sequence.\n\n**Small example using chaining**:\n\nTable size = 5\n\n```text\ninsert(\"cat\", 10) -> hash = 3\ninsert(\"dog\", 20) -> hash = 3 collision\ninsert(\"bat\", 30) -> hash = 3 collision\n```\n\nBucket 3 might store:\n\n```text\ncat: 10 -> dog: 20 -> bat: 30\n```\n\nTo find `\"dog\"`:\n\n1. Hash `\"dog\"` to index 3.\n2. Check bucket 3.\n3. Compare `\"dog\"` with stored keys.\n4. Return `20`.", "reasoning": "We need answer user: \"Explain how a hash table finds a value, including collisions and one small example.\" Need produce final. Keep concise but thorough. Include hashing key to index, look at bucket, compare keys, collision handling maybe chaining/open addressing. Small example. Also maybe case concurrency-r2-c2? Irrelevant maybe a case label. Need answer no concurrency? Could mention if concurrent then locks, but request likely basic hash table. Don't overcomplicate. 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{"include_usage": true}, "max_tokens": 512, "seed": 7, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}}, "messages": [{"role": "user", "content": "[case concurrency-r2-c3]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table stores key-value pairs and finds a value using the key.\n\n1. **Hash the key**: The hash table applies a hash function to the key to produce an integer.\n ```text\n index = hash(key) % number_of_buckets\n ```\n This index tells the hash table which bucket to look in.\n\n2. **Go to the bucket**: The hash table jumps directly to that bucket, usually in O(1) average time.\n\n3. **Find the value in the bucket**:\n - If there is no collision, the bucket contains the value directly.\n - If multiple keys hash to the same bucket, the table checks the keys in that bucket until it finds the matching key, then returns its value.\n\n## Collisions\n\nA **collision** happens when two different keys produce the same index.\n\nExample:\n\n```text\nhash(\"apple\") % 4 = 2\nhash(\"banana\") % 4 = 2\n```\n\nBoth `\"apple\"` and `\"banana\"` go to bucket 2.\n\nA common collision strategy is **chaining**, where each bucket stores a small list of entries.\n\n### Small example\n\nBucket structure:\n\n```text\n0: []\n1: []\n2: [(\"apple\", 10), (\"banana\", 20)]\n3: []\n```\n\nTo find the value for `\"banana\"`:\n\n1. Compute the bucket index:\n ```text\n hash(\"banana\") % 4 = 2\n ```\n\n2. Look in bucket 2.\n\n3. Check the entries in bucket 2:\n - key `\"apple\"` does not match.\n - key `\"banana\"` matches.\n\n4. Return the associated value:\n ```text\n 20\n ```\n\nSo a hash table finds a value by hashing the key to an index, checking the appropriate bucket, and resolving collisions if multiple keys map to the same bucket.", "reasoning": "We need answer user: \"Explain how a hash table finds a value, including collisions and one small example.\" We need respond final with explanation. Need be clear. Mention hashing key to index, array bucket, find value. Collisions handled chaining/open addressing. Small example maybe keys 'apple','banana','cherry' with simple hash length? Need include collisions. 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"short-burst", "request": {"stream": true, "stream_options": {"include_usage": true}, "max_tokens": 512, "seed": 8, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}}, "messages": [{"role": "user", "content": "[case concurrency-r2-c4]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table finds a value by using the key to compute a bucket index, then searching only that bucket for the key.\n\n1. **Compute a hash**: The key is passed through a hash function to produce an integer.\n2. **Map to a bucket**: That integer is converted to a table index, usually with `hash(key) % table_size`.\n3. **Check the bucket**: The table looks in that bucket for a matching key.\n4. **Return the value**: If the key is found, return its value. If not found, report that the key is absent.\n\n### Collisions\n\nTwo different keys can produce the same bucket index. This is a **collision**.\n\nCommon collision strategies:\n\n- **Separate chaining**: Each bucket stores a linked list, array, or other container of key-value pairs.\n- **Open addressing**: If the bucket is occupied, the table probes for another slot, such as the next bucket.\n\n### Small example\n\nTable size = 7, hash function = `key % 7`\n\nInsert:\n\n```text\n25 -> hash = 25 % 7 = 4\n11 -> hash = 11 % 7 = ", "reasoning": "We need answer user: \"[case concurrency-r2-c4]\nExplain how a hash table finds a value, including collisions and one small example.\"\n\nNeed produce final answer. Need maybe consider concurrency tag? case concurrency-r2-c4 maybe perhaps test case for concurrency? The request just asks explain hash table finds value, including collisions and example. Maybe need mention concurrency? Tag says concurrency-r2-c4. Could be from benchmark expecting answer maybe with concurrency concerns? We can include note about concurrent access. But main is hash table lookup.\n\nNeed concise but thorough. Explain hashing key to index, bucket, compare keys, collisions (same hash) handled via chaining or open addressing, lookup traverses/probes until key found or empty/sentinel. Example: table size 7, hash(k)=k%7, keys 25, 11 collide? 25%7=4, 11%7=4. Use chaining. Get 11: hash 11=4, bucket contains 25 then 11, compare found. Include concurrency note: without synchronization concurrent inserts/deletes/rehash can cause incorrect reads; use concurrent data structure/locks.\n\nNeed maybe mention load factor/rehash. 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key into an index:\n\n1. **Hash the key**: Compute a hash code from the key, e.g. `hash(\"name\")`.\n2. **Map to a bucket**: Convert the hash into an array index, often `hash % table_size`.\n3. **Look up the bucket**: Check the value stored there.\n\n**Collisions** happen when two different keys hash to the same index. Common fixes:\n\n- **Separate chaining**: each bucket stores a small list of key-value pairs.\n- **Open addressing**: if the slot is full, probe for another slot.\n\n**Small example:**\n\nTable size = 5\n\n- Insert `\"apple\"` → hash gives index 2 → store at bucket 2\n- Insert `\"banana\"` → hash also gives index 2 → collision\n\nWith chaining, bucket 2 becomes:\n\n```text\nbucket 2: (\"apple\" -> 5), (\"banana\" -> 10)\n```\n\nTo find `\"banana\"`, hash it to bucket 2, then search the bucket’s list until the key matches.", "reasoning": "We need answer user: \"Explain how a hash table finds a value, including collisions and one small example.\n\nNeed produce final explanation concise. Include hashing key to index, bucket, direct array lookup, collisions (separate chaining/open addressing), example. Need likely not overdo. 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Need likely address concurrency? The tag case concurrency-r3-c2 maybe hidden? User asks explain hash table finds a value, including collisions and example. Might need mention concurrency? The case tag maybe indicates context? Could be from some evaluation requiring concise? Need maybe mention thread safety? Let's parse: \"[case concurrency-r3-c2] Explain how a hash table finds a value, including collisions and one small example.\" Maybe they expect answer for hash table lookup under concurrency? Could include that normal hash table isn't thread-safe, concurrent hash table needed. But prompt says \"including collisions and one small example\" not explicitly concurrency. Tag concurrency-r3-c2 suggests maybe test case category concurrency; maybe need explain while being careful about concurrency? The instruction \"Explain how a hash table finds a value\" could require mention lock-free/concurrent safe? Let's think.\n\nNeed final maybe: A hash table maps keys to values. To find, hash key to bucket index; go to bucket; if direct chaining, scan entries in bucket comparing keys; if open addressing, probe sequence until empty/sentinel or match. Collisions happen when different keys hash to same index; handled by chaining, open addressing, robin hood etc. If concurrent, lookups can be concurrent but updates require synchronization; readers may need locks/atomic reads/volatile/immutable snapshots; avoid data races. Example: table size 7, hash(k)=k mod 7. Put 5 in bucket 5; put 12 -> bucket 5 collision. With chaining bucket 5 has [5->V5, 12->V12]. Find 12: hash=5, traverse list compare 5 != 12 then 12 == 12 return V12.\n\nNeed possibly include if using concurrent: in a concurrent hash table, lookup may traverse bucket without lock if structure safe; but insertion can resize causing concurrent readers to handle old buckets. But user didn't ask. Tag maybe should include. Need not overdo.\n\nNeed ensure answer addresses \"how finds a value\" step by step. Could mention hash function deterministic, equality. 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0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}}, "messages": [{"role": "user", "content": "[case concurrency-r3-c3]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table finds a value in a few steps:\n\n1. **Hash the key**\n - The key is passed through a hash function to produce a numeric hash code.\n - Example: `hash(\"apple\") → 17`.\n\n2. **Choose a bucket**\n - The hash code is mapped to an array index, often using something like `index = hash_code % array_length`.\n - Example: with 10 buckets, `17 % 10 = 7`, so look in bucket 7.\n\n3. **Search the bucket**\n - If the bucket contains exactly the key, return the associated value.\n - If not, handle collisions.\n\n**Collisions** happen when two different keys hash to the same bucket.\n\nCommon ways to handle them:\n\n- **Separate chaining**\n - Each bucket holds a list of key/value pairs.\n - To find a value, search that list and compare keys directly.\n - Example: both `\"apple\"` and `\"banana\"` hash to bucket 7.\n - Bucket 7: `[(\"apple\", 1), (\"banana\", 2)]", "reasoning": "We need answer user: \"[case concurrency-r3-c3]\nExplain how a hash table finds a value, including collisions and one small example.\"\n\nNeed produce final answer. Need maybe consider concurrency tag? case concurrency-r3-c3 maybe asks explain hash table finds value, collisions, example. Could include concurrency? Title concurrency maybe case concurrency? User only asks explain hash table finds value including collisions and one small example. Need concise but thorough. Could mention lock/sharding if concurrent? The bracket [case concurrency-r3-c3] might be a benchmark id, not necessarily require concurrency. But maybe should address concurrency: if multiple threads, need synchronization (mutex/read-write locks or concurrent map). But prompt asks explain how hash table finds a value, including collisions and small example. Let's craft clear: hash key -> bucket index via hash function modulo bucket array. Look up bucket. If separate chaining collision, traverse linked list/equality compare key. If open addressing, probe sequence. Small example: keys \"apple\" hash=..., bucket 3; insert \"banana\" collides same bucket; lookup \"banana\" hash to bucket 3, compare nodes, matches. Maybe concurrency: in multithreaded, lock bucket/map during resize etc. Need ensure no overcomplication. 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To find a value:\n\n1. Take the key.\n2. Apply a hash function to compute an array index.\n3. Go to that index’s bucket.\n4. Check stored entries for the requested key.\n5. If the key matches, return its value.\n\nCollisions happen when two keys hash to the same index.\n\nCommon collision handling:\n- Separate chaining: each bucket stores multiple entries, often in a small list.\n- Open addressing: if the bucket is taken, try the next slot using a probe sequence.\n\nExample:\n- Hash table size: 5\n- Hash function: `key % 5`\n- Insert `10 → \"apple\"`: `10 % 5 = 0`\n- Insert `15 → \"banana\"`: `15 % 5 = 0`, collision at index 0\n\nIf using separate chaining, index 0 holds both pairs:\n`[0] -> (10, \"apple\") -> (15, \"banana\")`\n\nTo find `15`:\n- Hash: `15 % 5 = 0`\n- Check index 0 entries\n- Match key `15`, return `\"banana\"`\n\nIf the hash table is shared across threads, access must be synchronized or use a thread-safe concurrent hash table.", "reasoning": "We need answer user: \"Explain how a hash table finds a value, including collisions and one small example. [case concurrency-r3-c4]\". Need likely include concurrency? The tag says case concurrency-r3-c4 maybe from benchmark. Need answer probably mention thread safety? User asks hash table finds value, including collisions and example. Could include concurrency caveat? Need maybe concise. Need final. Need ensure maybe if concurrency tag, mention if shared across threads use locks/concurrent structure. Need no code? Small example. Let's craft clear explanation: hash key to index, array bucket, compare key; collisions: open addressing or separate chaining; lookup follows same path. Example: table size 5, hash(k)=k mod5. Insert 10->idx0, 15 chain/open add next. Find 15 hash=0 then check chain until key match. Concurrency: need synchronization. Need maybe note value found by hash key not value. Ensure answer covers collisions and small example. 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b/bench/results/2026-11-08-standard-4x-rtx-3090-45387cb6/provenance/chat_template.jinja new file mode 100644 index 00000000000..a0877006589 --- /dev/null +++ b/bench/results/2026-11-08-standard-4x-rtx-3090-45387cb6/provenance/chat_template.jinja @@ -0,0 +1,184 @@ +{%- set image_count = namespace(value=0) %} +{%- set video_count = namespace(value=0) %} +{%- macro render_content(content, do_vision_count, is_system_content=false) %} + {%- if content is string %} + {{- content }} + {%- elif content is iterable and content is not mapping %} + {%- for item in content %} + {%- if 'image' in item or 'image_url' in item or item.type == 'image' %} + {%- if is_system_content %} + {{- raise_exception('System message cannot contain images.') }} + {%- endif %} + {%- if do_vision_count %} + {%- set image_count.value = image_count.value + 1 %} + {%- endif %} + {%- if add_vision_id %} + {{- 'Picture ' ~ image_count.value ~ ': ' }} + {%- endif %} + {{- '<|vision_start|><|image_pad|><|vision_end|>' }} + {%- elif 'video' in item or item.type == 'video' %} + {%- if is_system_content %} + {{- raise_exception('System message cannot contain videos.') }} + {%- endif %} + {%- if do_vision_count %} + {%- set video_count.value = video_count.value + 1 %} + {%- endif %} + {%- if add_vision_id %} + {{- 'Video ' ~ video_count.value ~ ': ' }} + {%- endif %} + {{- '<|vision_start|><|video_pad|><|vision_end|>' }} + {%- elif 'text' in item %} + {{- item.text }} + {%- else %} + {{- raise_exception('Unexpected item type in content.') }} + {%- endif %} + {%- endfor %} + {%- elif content is none or content is undefined %} + {{- '' }} + {%- else %} + {{- raise_exception('Unexpected content type.') }} + {%- endif %} +{%- endmacro %} +{%- if not messages %} + {{- raise_exception('No messages provided.') }} +{%- endif %} +{%- set sysns = namespace(count=0, text='') %} +{%- for message in messages %} + {%- if sysns.count == loop.index0 and (message.role == 'system' or message.role == 'developer') %} + {%- set sys_content = render_content(message.content, false, true)|trim %} + {%- if sys_content %} + {%- set sysns.text = sysns.text + ('\n' if sysns.text else '') + sys_content %} + {%- endif %} + {%- set sysns.count = sysns.count + 1 %} + {%- endif %} +{%- endfor %} +{%- set num_sys = sysns.count %} +{%- set merged_system = sysns.text %} +{%- set reasoning_instructions = '' %} +{%- if enable_thinking is undefined or enable_thinking is true %} + {%- set resolved_reasoning_effort = reasoning_effort|default('xhigh') %} + {%- if resolved_reasoning_effort == 'high' %} + {%- set resolved_reasoning_effort = 'xhigh' %} + {%- endif %} + {%- if resolved_reasoning_effort not in ('xhigh', 'medium', 'low') %} + {{- raise_exception('Unexpected reasoning effort ' ~ reasoning_effort ~ '. Supported types are xhigh (default), medium, and low.') }} + {%- endif %} + {%- if resolved_reasoning_effort == 'xhigh' %} + {%- set reasoning_instructions = 'Reasoning effort is set to xhigh. Please think carefully through the task, validate key assumptions, consider plausible alternatives, and prioritize correctness, consistency, and clarity in the final answer.' %} + {%- elif resolved_reasoning_effort == 'low' %} + {%- set reasoning_instructions = 'Reasoning effort is set to low. Keep your thinking brief and focused, moving directly to the conclusion without unnecessary elaboration.' %} + {%- endif %} +{%- endif %} +{%- if tools and tools is iterable and tools is not mapping %} + {{- '<|im_start|>system\n' }} + {%- if reasoning_instructions %} + {{- reasoning_instructions + '\n\n' }} + {%- endif %} + {{- "# Tools\n\nYou have access to the following functions:\n\n" }} + {%- for tool in tools %} + {{- "\n" }} + {{- tool | tojson }} + {%- endfor %} + {{- "\n" }} + {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n\n\n\nvalue_1\n\n\nThis is the value for the second parameter\nthat can span\nmultiple lines\n\n\n\n\n\nReminder:\n- Function calls MUST follow the specified format: an inner block must be nested within XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n' }} + {%- if merged_system %} + {{- '\n\n' + merged_system }} + {%- endif %} + {{- '<|im_end|>\n' }} +{%- else %} + {%- if merged_system %} + {{- '<|im_start|>system\n' + (reasoning_instructions + '\n\n' if reasoning_instructions else '') + merged_system + '<|im_end|>\n' }} + {%- elif reasoning_instructions %} + {{- '<|im_start|>system\n' + reasoning_instructions + '<|im_end|>\n' }} + {%- endif %} +{%- endif %} +{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %} +{%- for message in messages[::-1] %} + {%- set index = (messages|length - 1) - loop.index0 %} + {%- if ns.multi_step_tool and message.role == "user" %} + {%- set content = render_content(message.content, false)|trim %} + {%- if not(content.startswith('') and content.endswith('')) %} + {%- set ns.multi_step_tool = false %} + {%- set ns.last_query_index = index %} + {%- endif %} + {%- endif %} +{%- endfor %} +{%- for message in messages %} + {%- if loop.index0 >= num_sys %} + {%- set content = render_content(message.content, true)|trim %} + {%- if message.role == "system" or message.role == "developer" %} + {{- raise_exception('System message must be at the beginning.') }} + {%- elif message.role == "user" %} + {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }} + {%- elif message.role == "assistant" %} + {%- set reasoning_content = '' %} + {%- if message.reasoning_content is string %} + {%- set reasoning_content = message.reasoning_content %} + {%- endif %} + {%- set reasoning_content = reasoning_content|trim %} + {%- if preserve_thinking is undefined or preserve_thinking is true or loop.index0 > ns.last_query_index %} + {{- '<|im_start|>' + message.role + '\n\n' + reasoning_content + '\n\n\n' + content }} + {%- else %} + {{- '<|im_start|>' + message.role + '\n' + content }} + {%- endif %} + {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %} + {%- for tool_call in message.tool_calls %} + {%- if tool_call.function is defined %} + {%- set tool_call = tool_call.function %} + {%- endif %} + {%- if tool_call.name is not defined or tool_call.name is none %} + {{- raise_exception('Tool call is missing a function name.') }} + {%- endif %} + {%- if loop.first %} + {%- if content|trim %} + {{- '\n\n\n\n' }} + {%- else %} + {{- '\n\n' }} + {%- endif %} + {%- else %} + {{- '\n\n\n' }} + {%- endif %} + {%- if tool_call.arguments is mapping %} + {%- for args_name, args_value in tool_call.arguments|items %} + {{- '\n' }} + {%- set args_value = args_value | string if args_value is string else args_value | tojson | safe %} + {{- args_value }} + {{- '\n\n' }} + {%- endfor %} + {%- elif tool_call.arguments is string %} + {%- if tool_call.arguments|trim %} + {{- raise_exception('Tool call arguments for function "' + (tool_call.name | string) + '" were passed as a JSON string. Parse them into an object before calling apply_chat_template.') }} + {%- endif %} + {%- elif tool_call.arguments is defined and tool_call.arguments is not none %} + {{- raise_exception('Tool call arguments for function "' + (tool_call.name | string) + '" must be an object/mapping or a JSON string.') }} + {%- endif %} + {{- '\n' }} + {%- endfor %} + {%- endif %} + {{- '<|im_end|>\n' }} + {%- elif message.role == "tool" %} + {%- if loop.previtem and loop.previtem.role != "tool" %} + {{- '<|im_start|>user' }} + {%- endif %} + {{- '\n\n' }} + {{- content }} + {{- '\n' }} + {%- if not loop.last and loop.nextitem.role != "tool" %} + {{- '<|im_end|>\n' }} + {%- elif loop.last %} + {{- '<|im_end|>\n' }} + {%- endif %} + {%- else %} + {{- raise_exception('Unexpected message role.') }} + {%- endif %} + {%- endif %} +{%- endfor %} +{%- if add_generation_prompt %} + {{- '<|im_start|>assistant\n' }} + {%- if enable_thinking is defined and enable_thinking is false %} + {{- '\n\n\n\n' }} + {%- else %} + {{- '\n' }} + {%- endif %} +{%- endif %} +{#- Unsloth fixes - developer role, merged system messages, tool calling #} \ No newline at end of file diff --git a/bench/results/2026-11-08-standard-4x-rtx-3090-45387cb6/provenance/corpus-build.json b/bench/results/2026-11-08-standard-4x-rtx-3090-45387cb6/provenance/corpus-build.json new file mode 100644 index 00000000000..472565694c2 --- /dev/null +++ b/bench/results/2026-11-08-standard-4x-rtx-3090-45387cb6/provenance/corpus-build.json @@ -0,0 +1,206 @@ +{ + "protocol_id": "strata-qwen38-thinking-v1-draft.1", + "bundle": "standard-v1", + "profile": "qwen3.8-flash-next-thinking", + "tokenizer_files": { + "vocab.json": "4ba64f0332abcfb0b600b7df1537d1e836e68009d5fb7cdb77339738dc6365c4", + "merges.txt": "080cf95432173729d160346b7882bd2a644b07f7a3813a3eb73f4e66787bfde9", + "token_type.json": "5088c8c298fc06af8382ddb3b76c888703ac2634e82263b97eedcc2ad202738b" + }, + "template": { + "path": "serve/chat_template.jinja", + "sha256": "ae9644304511ef71f28e036b6f65b4c709880bc5a23b7d0b42125ec63a8c70ca" + }, + "template_kwargs": { + "enable_thinking": true, + "preserve_thinking": true, + "reasoning_effort": "xhigh" + }, + "record_format": "record{:06d}: alpha beta gamma delta epsilon zeta eta theta.", + "short_task": "Explain how a hash table finds a value, including collisions and one small example.", + "summary_question": "Summarize the structure of these records and explain how to look up a record by its ID.", + "record_counts": { + "prompt-4k": { + "records": 211, + "target_tokens": 4096 + }, + "prompt-16k": { + "records": 858, + "target_tokens": 16384 + } + }, + "length_tolerance": 0.02, + "requests": [ + { + "id": "warmup", + "input_tokens": 75, + "max_shared_prefix_tokens": 47 + }, + { + "id": "performance-short-r1", + "input_tokens": 77, + "max_shared_prefix_tokens": 50 + }, + { + "id": "performance-prompt-4k-r1", + "input_tokens": 4093, + "max_shared_prefix_tokens": 54 + }, + { + "id": "performance-prompt-16k-r1", + "input_tokens": 16387, + "max_shared_prefix_tokens": 55 + }, + { + "id": "performance-short-r2", + "input_tokens": 77, + "max_shared_prefix_tokens": 50 + }, + { + "id": "performance-prompt-4k-r2", + "input_tokens": 4093, + "max_shared_prefix_tokens": 54 + }, + { + "id": "performance-prompt-16k-r2", + "input_tokens": 16387, + "max_shared_prefix_tokens": 55 + }, + { + "id": "performance-short-r3", + "input_tokens": 77, + "max_shared_prefix_tokens": 50 + }, + { + "id": "performance-prompt-4k-r3", + "input_tokens": 4093, + "max_shared_prefix_tokens": 54 + }, + { + "id": "performance-prompt-16k-r3", + "input_tokens": 16387, + "max_shared_prefix_tokens": 55 + }, + { + "id": "sanity-I1", + "input_tokens": 82, + "max_shared_prefix_tokens": 49 + }, + { + "id": "sanity-I2", + "input_tokens": 90, + "max_shared_prefix_tokens": 49 + }, + { + "id": "sanity-I3", + "input_tokens": 85, + "max_shared_prefix_tokens": 49 + }, + { + "id": "sanity-I4", + "input_tokens": 71, + "max_shared_prefix_tokens": 49 + }, + { + "id": "sanity-R1", + "input_tokens": 4089, + "max_shared_prefix_tokens": 49 + }, + { + "id": "sanity-R2", + "input_tokens": 4089, + "max_shared_prefix_tokens": 49 + }, + { + "id": "sanity-R3", + "input_tokens": 16382, + "max_shared_prefix_tokens": 49 + }, + { + "id": "sanity-R4", + "input_tokens": 16390, + "max_shared_prefix_tokens": 49 + }, + { + "id": "sanity-T1", + "input_tokens": 325, + "max_shared_prefix_tokens": 61 + }, + { + "id": "sanity-T2", + "input_tokens": 335, + "max_shared_prefix_tokens": 62 + }, + { + "id": "sanity-T3", + "input_tokens": 352, + "max_shared_prefix_tokens": 61 + }, + { + "id": "sanity-T4", + "input_tokens": 339, + "max_shared_prefix_tokens": 62 + }, + { + "id": "concurrency-r1-c1", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + }, + { + "id": "concurrency-r1-c2", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + }, + { + "id": "concurrency-r1-c3", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + }, + { + "id": "concurrency-r1-c4", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + }, + { + "id": "concurrency-r2-c1", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + }, + { + "id": "concurrency-r2-c2", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + }, + { + "id": "concurrency-r2-c3", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + }, + { + "id": "concurrency-r2-c4", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + }, + { + "id": "concurrency-r3-c1", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + }, + { + "id": "concurrency-r3-c2", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + }, + { + "id": "concurrency-r3-c3", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + }, + { + "id": "concurrency-r3-c4", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + } + ], + "note": "input_tokens counts the rendered thinking request with the generation prompt. max_shared_prefix_tokens is the longest token prefix this request shares with any other request of the bundle: cache reuse above it means the user payload was read from the cache." +} diff --git a/bench/results/2026-11-08-standard-4x-rtx-3090-45387cb6/provenance/corpus-manifest.sha256 b/bench/results/2026-11-08-standard-4x-rtx-3090-45387cb6/provenance/corpus-manifest.sha256 new file mode 100644 index 00000000000..3c6046bc54c --- /dev/null +++ b/bench/results/2026-11-08-standard-4x-rtx-3090-45387cb6/provenance/corpus-manifest.sha256 @@ -0,0 +1,35 @@ +bc6c1f81d86863c3dc36a31f58010701d8ab05180f69f86c6978214409e43af2 build.json +f724855774dfbea89fade712a70d534a085c88cda6abc123db419fd79eefab49 requests/concurrency-r1-c1.json +2c85f877abbf144ca065c58efc2a7568aaf2c8dc317ad8266e78c149f8245abb requests/concurrency-r1-c2.json +264097f61645a0d5089562dc003b7748b1c20339c2df1290ad6664fc1834068a requests/concurrency-r1-c3.json +65895c5a5fab53c06e9358d88d921f1bfc9dc7cc8b6e8a2521ac90de080ff470 requests/concurrency-r1-c4.json 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the request ended normally", + "/requests/3/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/3/evaluation": "not applicable outside the sanity stage", + "/requests/4/round": "not applicable outside the concurrency stage", + "/requests/4/error": "none: the request ended normally", + "/requests/4/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/4/evaluation": "not applicable outside the sanity stage", + "/requests/5/round": "not applicable outside the concurrency stage", + "/requests/5/error": "none: the request ended normally", + "/requests/5/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/5/evaluation": "not applicable outside the sanity stage", + "/requests/6/round": "not applicable outside the concurrency stage", + "/requests/6/error": "none: the request ended normally", + "/requests/6/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/6/evaluation": "not applicable outside the sanity stage", + "/requests/7/round": "not applicable outside the concurrency stage", + "/requests/7/error": "none: the request ended normally", + "/requests/7/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/7/evaluation": "not applicable outside the sanity stage", + "/requests/8/round": "not applicable outside the concurrency stage", + "/requests/8/error": "none: the request ended normally", + "/requests/8/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/8/evaluation": "not applicable outside the sanity stage", + "/requests/9/round": "not applicable outside the concurrency stage", + "/requests/9/error": "none: the request ended normally", + "/requests/9/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/9/evaluation": "not applicable outside the sanity stage", + "/requests/10/round": "not applicable outside the concurrency stage", + "/requests/10/error": "none: the request ended normally", + "/requests/10/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/11/round": "not applicable outside the concurrency stage", + "/requests/11/error": "none: the request ended normally", + "/requests/11/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/12/round": "not applicable outside the concurrency stage", + "/requests/12/error": "none: the request ended normally", + "/requests/12/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/13/round": "not applicable outside the concurrency stage", + "/requests/13/error": "none: the request ended normally", + "/requests/13/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/14/round": "not applicable outside the concurrency stage", + "/requests/14/error": "none: the request ended normally", + "/requests/14/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/15/round": "not applicable outside the concurrency stage", + "/requests/15/error": "none: the request ended normally", + "/requests/15/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/16/round": "not applicable outside the concurrency stage", + "/requests/16/error": "none: the request ended normally", + "/requests/16/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/17/round": "not applicable outside the concurrency stage", + "/requests/17/error": "none: the request ended normally", + "/requests/17/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/18/round": "not applicable outside the concurrency stage", + "/requests/18/error": "none: the request ended normally", + "/requests/18/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/19/round": "not applicable outside the concurrency stage", + "/requests/19/error": "none: the request ended normally", + "/requests/19/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/20/round": "not applicable outside the concurrency stage", + "/requests/20/error": "none: the request ended normally", + "/requests/20/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/21/round": "not applicable outside the concurrency stage", + "/requests/21/error": "none: the request ended normally", + "/requests/21/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/22/error": "none: the request ended normally", + "/requests/22/timings/first_answer_s": "no answer text or tool call arrived (reasoning alone does not count)", + 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agree or only one exists", + "/requests/26/evaluation": "not applicable outside the sanity stage", + "/requests/27/error": "none: the request ended normally", + "/requests/27/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/27/evaluation": "not applicable outside the sanity stage", + "/requests/28/error": "none: the request ended normally", + "/requests/28/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/28/evaluation": "not applicable outside the sanity stage", + "/requests/29/error": "none: the request ended normally", + "/requests/29/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/29/evaluation": "not applicable outside the sanity stage", + "/requests/30/error": "none: the request ended normally", + "/requests/30/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/30/evaluation": "not applicable outside the sanity stage", + "/requests/31/error": "none: the request ended normally", + "/requests/31/timings/first_answer_s": "no answer text or tool call arrived (reasoning alone does not count)", + "/requests/31/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/31/evaluation": "not applicable outside the sanity stage", + "/requests/32/error": "none: the request ended normally", + "/requests/32/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/32/evaluation": "not applicable outside the sanity stage", + "/requests/33/error": "none: the request ended normally", + "/requests/33/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/33/evaluation": "not applicable outside the sanity stage" + }, + "extensions": { + "suite": "standard-v1", + "runner": "strata_cli.bench_standard", + "status_reasons": [], + "started_engine": false, + 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"frozen_input_tokens": 4093, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "performance-prompt-16k-r1": { + "max_shared_prefix_tokens": 55, + "frozen_input_tokens": 16387, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "performance-short-r2": { + "max_shared_prefix_tokens": 50, + "frozen_input_tokens": 77, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "performance-prompt-4k-r2": { + "max_shared_prefix_tokens": 54, + "frozen_input_tokens": 4093, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "performance-prompt-16k-r2": { + "max_shared_prefix_tokens": 55, + "frozen_input_tokens": 16387, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "performance-short-r3": { + "max_shared_prefix_tokens": 50, + "frozen_input_tokens": 77, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "performance-prompt-4k-r3": { + "max_shared_prefix_tokens": 54, + "frozen_input_tokens": 4093, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "performance-prompt-16k-r3": { + "max_shared_prefix_tokens": 55, + "frozen_input_tokens": 16387, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-I1": { + "max_shared_prefix_tokens": 49, + "frozen_input_tokens": 82, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-I2": { + "max_shared_prefix_tokens": 49, + "frozen_input_tokens": 90, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-I3": { + "max_shared_prefix_tokens": 49, + "frozen_input_tokens": 85, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-I4": { + "max_shared_prefix_tokens": 49, + "frozen_input_tokens": 71, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-R1": { + "max_shared_prefix_tokens": 49, + "frozen_input_tokens": 4089, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-R2": { + "max_shared_prefix_tokens": 49, + "frozen_input_tokens": 4089, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-R3": { + "max_shared_prefix_tokens": 49, + "frozen_input_tokens": 16382, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-R4": { + "max_shared_prefix_tokens": 49, + "frozen_input_tokens": 16390, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-T1": { + "max_shared_prefix_tokens": 61, + "frozen_input_tokens": 325, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-T2": { + "max_shared_prefix_tokens": 62, + "frozen_input_tokens": 335, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-T3": { + "max_shared_prefix_tokens": 61, + "frozen_input_tokens": 352, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-T4": { + "max_shared_prefix_tokens": 62, + "frozen_input_tokens": 339, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r1-c1": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r1-c2": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r1-c3": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r1-c4": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r2-c1": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r2-c2": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r2-c3": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r2-c4": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r3-c1": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r3-c2": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r3-c3": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r3-c4": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + } + }, + "optional_stage_skipped": false, + "api_key_sent": false + } +} diff --git a/bench/results/2026-11-08-standard-4x-rtx-3090-8be2bf4a/README.md b/bench/results/2026-11-08-standard-4x-rtx-3090-8be2bf4a/README.md new file mode 100644 index 00000000000..650bfcd02e8 --- /dev/null +++ b/bench/results/2026-11-08-standard-4x-rtx-3090-8be2bf4a/README.md @@ -0,0 +1,78 @@ +# Strata standard benchmark: NVIDIA GeForce RTX 3090, NVIDIA GeForce RTX 3090, NVIDIA GeForce RTX 3090, NVIDIA GeForce RTX 3090 + +Protocol `strata-qwen38-thinking-v1-draft.1` (draft), run `20261108T171933Z-8be2bf4a`, started 2026-11-08T17:19:33Z. **Status: complete.** + +Written by `strata bench run`. The machine-readable result is [results.json](results.json); every request, its raw usage and timings and the client event offsets are in [outputs.jsonl](outputs.jsonl). + +## Hardware and software + +- GPU: NVIDIA GeForce RTX 3090 (24.0 GiB dedicated); NVIDIA GeForce RTX 3090 (24.0 GiB dedicated); NVIDIA GeForce RTX 3090 (24.0 GiB dedicated); NVIDIA GeForce RTX 3090 (24.0 GiB dedicated) +- CPU: AMD Ryzen Threadripper 3990X 64-Core Processor; RAM: 251.5 GiB +- Storage of the model files: nvme CT1000P310SSD8 (nvme) +- OS: Ubuntu 24.04.5 LTS 7.0.0-38-generic; drivers: gpu-driver 580.196.07; runtime: cuda 13.0 +- Strata commit: `146df3c468739147f520ac3816de806f71232571`; engine 0.1.58; source build +- Background work: not measured + +## Model and configuration + +- Model: qwen3.8-flash-next-unsloth-ud-iq4_xs; quantization UD-IQ4_XS; revision not measured; source revision not measured +- Files: `Qwen3.8-Flash-Next-UD-IQ4_XS-00001-of-00003.gguf` `5ce89370720f8bf9...`; `Qwen3.8-Flash-Next-UD-IQ4_XS-00002-of-00003.gguf` `577a38a2392b40ca...`; `Qwen3.8-Flash-Next-UD-IQ4_XS-00003-of-00003.gguf` `d4634e6d84f0ebb0...`; `expert-profile.bin` `8f59b4aa8873209d...` +- Track: **custom** (S-r2: Strata-212@146df3c4, engine strata-212-stocktab-f83fd81691a5b053, CUDA 13.0 source build (STRATA_MMQ_TAB=ON), 4x RTX 3090 320 W, layer split over 4 cards; stock v0.2.12: the args/env stock setup writes for this box (128K, int8 KV, MTP, parallel 3 as strata launch sets for 24 GB), vision off, sampling.presence_penalty 0 (inert here: the suite sends 0); server env: []) +- Context 131072 tokens; server capacity 3 slot(s) +- Sampling: temperature 1.0, top_p 0.95, top_k 20, min_p 0.0, presence_penalty 0.0, repetition_penalty 1.0, reasoning_effort xhigh; thinking on, preserved +- Engine options: `config.json`; chat template: `provenance/chat_template.jinja` + +## Method + +The frozen requests of `bench/prompts/standard-v1` (corpus `e75eff8b9feea04f...`) were sent over loopback HTTP, streaming, one at a time, in this order: 1 warm-up (excluded), 3 repetitions of the short, 4K and 16K prompts, and the twelve sanity checks. Prompt and decode speed are the engine's own `timings`; time to first token is the client's monotonic clock from dispatch to the first nonempty reasoning, answer or tool-call delta. No request was retried. Time after the model loaded: 1 min 19 s. + +## Results + +| Case | Prompt tok/s | Decode tok/s | TTFT s | First answer s | Total s | Capped | +| --- | --- | --- | --- | --- | --- | --- | +| short | n/a | 129.1 (126.6-136.1) n=3 | 0.49 (0.38-0.50) n=3 | 1.78 (1.30-1.93) n=3 | 3.0 (3.0-3.5) n=3 | 0/3 | +| prompt-4k | 1915.5 (1910.5-1986.5) n=3 | 128.5 (124.1-136.6) n=3 | 2.15 (2.08-2.16) n=3 | 4.95 (4.36-5.55) n=2 | 6.1 (5.9-6.2) n=3 | 3/3 | +| prompt-16k | 3212.4 (3192.5-3262.2) n=3 | 127.8 (127.2-143.3) n=3 | 5.13 (5.05-5.16) n=3 | 7.94 (6.75-8.03) n=3 | 9.1 (8.6-9.2) n=3 | 3/3 | + +Cells are median (min-max) n=samples. Short is a prompt of about 80 tokens: its prompt rate is dominated by the fixed cost of a request, so it is not shown; read prompt speed from prompt-4k and prompt-16k. Capped = requests that reached the 512-token cap, reasoning and answer together. A capped request's total time is the time to the cap, not to an answer, and it has no first-answer time when it was still reasoning. + +| Phase | Planned | Completed | Truncated | Failed | Skipped | +| --- | ---: | ---: | ---: | ---: | ---: | +| warmup | 1 | 0 | 1 | 0 | 0 | +| performance | 9 | 3 | 6 | 0 | 0 | +| sanity | 12 | 12 | 0 | 0 | 0 | +| concurrency | 12 | 4 | 8 | 0 | 0 | + +Sanity checks: **12 of 12**. + +| Case | Result | Reason | +| --- | --- | --- | +| I1 | pass | the expected JSON value | +| I2 | pass | the expected JSON value | +| I3 | pass | the expected JSON value | +| I4 | pass | the exact expected text | +| R1 | pass | the exact expected text | +| R2 | pass | the exact expected text | +| R3 | pass | the exact expected text | +| R4 | pass | the expected JSON value | +| T1 | pass | the expected tool call | +| T2 | pass | the expected tool call | +| T3 | pass | the expected tool call | +| T4 | pass | the expected tool call | + +Concurrency rounds (four requests released together): + +| Round | Wall s | Output tokens | Aggregate tok/s | Failed | +| ---: | ---: | ---: | ---: | ---: | +| 1 | 9.615931 | 1933 | 201.020577 | 0 | +| 2 | 10.706516 | 1968 | 183.813297 | 0 | +| 3 | 11.102406 | 2048 | 184.464521 | 0 | + +## Failures, exclusions and limitations + +- No request failed. +- Excluded from speed summaries: performance-prompt-4k-r3: first_answer_s is not available for this request +- Prompt-prefix reuse is the shared template prefix only; the cache was not emptied between requests, and the expert cache stays warm and evolves. These are not cold-model measurements. +- Output caps include reasoning; a request that reaches its cap is `truncated` and fails its sanity check. +- The runner cannot see other programs on the machine, the repeat-stop and loop-recovery switches of the server, or the quantization repository's revision; see `missing` in results.json for every value it could not read. +- The server had answered no request before this run (a freshly loaded engine). diff --git a/bench/results/2026-11-08-standard-4x-rtx-3090-8be2bf4a/config.json b/bench/results/2026-11-08-standard-4x-rtx-3090-8be2bf4a/config.json new file mode 100644 index 00000000000..0f1393ddf3c --- /dev/null +++ b/bench/results/2026-11-08-standard-4x-rtx-3090-8be2bf4a/config.json @@ -0,0 +1,35 @@ +{ + "engine_options": { + "--pack": "unsloth-ud-iq4_xs", + "--native": "Qwen3.8-Flash-Next-UD-IQ4_XS-00001-of-00003.gguf", + "--expert-profile": "expert-profile.bin", + "--expert-cache": "auto", + "--prefill": "auto", + "--spec": "4", + "--spec-min-p": "0.5", + "--mtp": "rt", + "--max-context": "131072", + "--kv": "int8", + "--ple-io": "ram", + "--kv-resident": "32768", + "--layer-split": "auto", + "--batch": "3" + }, + "other_engine_options": { + "--pack": "unsloth-ud-iq4_xs", + "--native": "Qwen3.8-Flash-Next-UD-IQ4_XS-00001-of-00003.gguf", + "--max-context": "131072", + "--ple-io": "ram", + "--batch": "3" + }, + "server_defaults": { + "temperature": 1.0, + "top_p": 0.95, + "top_k": 20, + "presence_penalty": 0.0, + "n_predict": -1 + }, + "total_slots": 3, + "context": 131072, + "source": "effective engine arguments of the profile" +} diff --git a/bench/results/2026-11-08-standard-4x-rtx-3090-8be2bf4a/engine.log b/bench/results/2026-11-08-standard-4x-rtx-3090-8be2bf4a/engine.log new file mode 100644 index 00000000000..f01dd8d24cd --- /dev/null +++ b/bench/results/2026-11-08-standard-4x-rtx-3090-8be2bf4a/engine.log @@ -0,0 +1,279 @@ +[strata] 2026-11-08 18:17:44 engine started: /bin/strata-212-stocktab-f83fd81691a5b053 --serve --pack /unsloth-ud-iq4_xs --native --expert-profile /data/expert-profile.bin --expert-cache auto --prefill auto --spec 4 --spec-min-p 0.5 --mtp /mtp/rt --max-context 131072 --kv int8 --ple-io ram --kv-resident 32768 --layer-split auto --batch 3 +strata: sm_86 (Ampere): 9 exact speed switches on by default (STRATA_SM86_PERF=0 turns them off; a switch you set is kept): ADAPT_NOWAIT ADAPT_LAG CPU_IQ_ALL_EXACT1 SIDE_MIXER ATTN_DAILY GR_UP75 GU_SWIGLU QSA_ROWS B6_MMVQ_ROWS +strata: a model with K-quant experts (Unsloth UD-Q4/Q5/Q6_K_XL) reads its prompt on llama.cpp's MMQ kernels (STRATA_MMQ_KQ=0 or STRATA_NV_KQ_DEFAULT=0 turns it off) +strata generate: NVIDIA: --prefill auto may take chunks up to 32768 (STRATA_NV_CHUNK=0 keeps 8192, =16 keeps 16384) +strata generate: memory guard: limit 224.0 GiB (source: cgroup), current 0.5 GiB, reclaimable cache credited 0.0 GiB; available 223.5 GiB (MemAvailable 240.0 GiB), floor 2560 MiB +strata generate: layer split across 4 GPUs: CUDA0, then CUDA1,2,3 (split auto) +strata generate: PCIe probe: 13.0 GB/s host->device (best of 13.0 13.0 13.0 13.0) -> pcie_frac 0.36 (default 0.55) +strata generate: CPU expert kernels: AVX-2 +strata generate: native pack: /unsloth-ud-iq4_xs experts (largest blob 3.48 MB), token embedding Q8_0 in mapped host memory (644 MiB, 0.7 s) +strata generate: 1416 MiB of weights loaded from /unsloth-ud-iq4_xs in 0.3 s (303 canonical tensors skipped: served natively) +strata: STRATA_HC_Q8=1: 0.63 GiB of Q8_0 hyper-connection projections for the verify read +strata generate: 495 native projection matrices, 3619.14 MiB of weights, in 0.8 s +strata generate: PLE table locked in RAM (--ple-io ram) in 1.6 s +strata: STRATA_HC_Q8=1: 0.63 GiB of Q8_0 hyper-connection projections for the verify read +strata generate: layer split: CUDA1 PCIe probe 13.1 GB/s (best of 13.1 13.1 13.1 13.1) -> pcie_frac 0.36 +strata generate: layer split: CUDA1 holds its weights; 18.00 GiB free (its session follows the split search) +strata: STRATA_HC_Q8=1: 0.63 GiB of Q8_0 hyper-connection projections for the verify read +strata generate: layer split: CUDA2 PCIe probe 13.5 GB/s (best of 13.5 13.5 13.5 13.5) -> pcie_frac 0.37 +strata generate: layer split: CUDA2 holds its weights; 18.00 GiB free (its session follows the split search) +strata: STRATA_HC_Q8=1: 0.63 GiB of Q8_0 hyper-connection projections for the verify read +strata generate: layer split: CUDA3 PCIe probe 13.5 GB/s (best of 13.5 13.5 13.5 13.5) -> pcie_frac 0.37 +strata generate: layer split: CUDA3 holds its weights; 18.00 GiB free (its session follows the split search) +strata generate: profile /data/expert-profile.bin: 24576 ranked pairs, built for 24576 slots +strata generate: layer split auto: CUDA0 82 SMs at 1.78 GHz -> 0.50 ms per layer, 17.08 GiB free before its session carve +strata generate: layer split auto: CUDA1 82 SMs at 1.78 GHz -> 0.50 ms per layer, 16.97 GiB free before its session carve +strata generate: layer split auto: CUDA2 82 SMs at 1.78 GHz -> 0.50 ms per layer, 16.97 GiB free before its session carve +strata generate: layer split auto: CUDA3 82 SMs at 1.78 GHz -> 0.50 ms per layer, 15.99 GiB free before its session carve +strata generate: layer split auto: CUDA0 link 13.0 GB/s -> miss cost x1.00 +strata generate: layer split auto: CUDA1 link 13.1 GB/s -> miss cost x1.00 +strata generate: layer split auto: CUDA2 link 13.5 GB/s -> miss cost x1.00 +strata generate: layer split auto: CUDA3 link 13.5 GB/s -> miss cost x1.00 +strata generate: layer split auto: K=12,24,36 - predicted 23.8 ms per decode window; the caches hold 24576 of 24576 profiled pairs (~100.0% of the routed mass), best of 15180 placements +strata generate: KV streaming: 32768 of 131072 cells per QSA layer in VRAM, the K/V in 0.39 GiB of pinned RAM +strata generate: PLE on, table 320001536 rows of +strata generate: layer split: CUDA1 holds its weights, session [12, 24); 17.78 GiB free +strata generate: layer split: CUDA2 holds its weights, session [24, 36); 17.78 GiB free +strata generate: layer split: CUDA3 holds its weights, session [36, 48) and the head; 17.29 GiB free +strata generate: --batch-groups auto: 3 groups of 1 slot +strata generate: --batch: 3 slot sessions on CUDA0 (0.21 GiB each); 16.91 GiB free +strata generate: --batch: 3 slot sessions on CUDA1 (0.21 GiB each); 17.14 GiB free +strata generate: --batch: 3 slot sessions on CUDA2 (0.21 GiB each); 17.13 GiB free +strata generate: --batch: 3 slot sessions on CUDA3 (0.21 GiB each); 16.64 GiB free +strata generate: --batch 3: the slot sessions take 0.64 GiB of VRAM on CUDA0 that the expert cache would otherwise hold +strata mtp: draft layer loaded, 835 MiB of VRAM (experts 675, dense 111), files read in 0.44 s (1798 MiB/s) +strata generate: GPU 0: NVIDIA GeForce RTX 3090, compute capability 8.6 +strata generate: expert arena read through the file cache (buffered (not Windows)) +strata generate: expert arena: cudaHostRegister PORTABLE ok; MAP_HUGETLB unavailable (needed 28383 2 MiB pages, vm.nr_hugepages=0); transparent huge pages requested (MADV_HUGEPAGE) +strata generate: loaded 55.43 GiB at 6.60 GiB/s +strata generate: GPU host-callback thread started before host-core pinning +strata generate: CPU pool tasks/phase: 99 (automatic), participating threads: 33 +strata generate: CPU pool: 32 workers by default (64 physical cores, 128 logical processors; bounded by the measured cap) +strata generate: 32 pool workers on logical processors 1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32, the host thread on 0 (draining too) (--host-core first) +strata generate: CPU workers on logical processors 1-32 (32 workers, one per physical core; host on 0) +strata aux cpus: threads that are neither pool workers nor the host go to CPUs 64,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127 (off at start; a request's aux_cpus=1 turns it on) +strata generate: expert cache auto: 16.79 GiB free, 700 MiB reserved (+0 MiB for the draft head, +256 MiB for what is allocated after the cache) -> 4890 slots +strata generate: expert cache 6144 slots, 14.27 GiB of VRAM; policy is +strata generate: the GPU computes the experts in the cache; it rounds differently from the CPU, + so a reply can differ slightly from a run without the cache (same quality: + bench/results/2026-09-27-cache-parity). + PROFILE, ranked by routing frequency, no eviction. +strata generate: pre-filled 6144 of 6144 slots from the profile in 1.2 s (12537 MB/s); slot 0 verified +strata generate: layer split, CUDA1: 17.02 GiB free of 23.56, room for experts 16.00 GiB +strata generate: layer split: CUDA1 runs layers 12-23, expert cache 6144 slots (13.33 GiB), 6144 of its 6144 profiled pairs; slot 0 verified +strata generate: layer split, CUDA2: 17.02 GiB free of 23.56, room for experts 16.00 GiB +strata generate: layer split: CUDA2 runs layers 24-35, expert cache 6144 slots (13.72 GiB), 6144 of its 6144 profiled pairs; slot 0 verified +strata generate: layer split, CUDA3: 15.72 GiB free of 23.56, room for experts 14.69 GiB +strata generate: layer split: CUDA3 runs layers 36-47, expert cache 6144 slots (14.11 GiB), 6144 of its 6144 profiled pairs; slot 0 verified +strata generate: layer split: CUDA0 runs layers 0-11 +strata generate: layer split auto: L2 probe: the split is startable on the live free figures +strata generate: R4 hit path ON - resident experts are computed on the GPU +strata generate: 32 expert-pool workers + the host thread +strata generate: session is up (engine 0.1.58) +strata generate: token graph hit path: 24576 resident experts, decided on the device +strata serve: layer split: 100% of the experts resident, the prompt path's streamed ring 96 slots +strata serve: prompt chunk auto: 8192 tokens, a 96-slot ring +strata serve: the prompt path borrows 1560 CUDA0 cache slots (3.62 GiB) +strata serve: CUDA1 prompt path borrows 1668 of its 6144 slots (3.62 GiB) +strata serve: CUDA2 prompt path borrows 1630 of its 6144 slots (3.62 GiB) +strata serve: CUDA3 prompt path borrows 1558 of its 6144 slots (3.62 GiB) +strata hc: CUDA1: the hyper-connection read runs as staged (the norm per token and stream, the down projection's activations staged ahead by cp.async); checked bit for bit against the plain read on this card (STRATA_HC_SPLIT=1 or 0 for the earlier ones) +strata verify: window up to 6 tokens, 87.6 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata hc: CUDA2: the hyper-connection read runs as staged (the norm per token and stream, the down projection's activations staged ahead by cp.async); checked bit for bit against the plain read on this card (STRATA_HC_SPLIT=1 or 0 for the earlier ones) +strata verify: window up to 6 tokens, 87.6 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata hc: CUDA3: the hyper-connection read runs as staged (the norm per token and stream, the down projection's activations staged ahead by cp.async); checked bit for bit against the plain read on this card (STRATA_HC_SPLIT=1 or 0 for the earlier ones) +strata verify: window up to 6 tokens, 87.6 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata serve: layer split: layers 0-11 (CUDA0), 12-23 (CUDA1), 24-35 (CUDA2), 36-47 (CUDA3), one hand-off per window +strata hc: CUDA0: the hyper-connection read runs as staged (the norm per token and stream, the down projection's activations staged ahead by cp.async); checked bit for bit against the plain read on this card (STRATA_HC_SPLIT=1 or 0 for the earlier ones) +strata verify: window up to 6 tokens, 87.6 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata mtp: draft head over 106299 tokens (212.9 MiB) +strata verify: batch windows of up to 3 sequences (layers [0, 12)), one-row windows keep their rows +strata verify: batch windows of up to 3 sequences (layers [12, 24)), one-row windows keep their rows +strata verify: batch windows of up to 3 sequences (layers [24, 36)), one-row windows keep their rows +strata verify: batch windows of up to 3 sequences (layers [36, 48)), one-row windows keep their rows +strata serve: conversation cache sized from the free RAM: 8192 MiB for up to 4 parked conversations, so an agent's next turn reuses its prompt (--conversation-cache-mib N sets it, 0 turns it off) +strata serve: PCIe share: start 0.10 from 32 pool workers (assumed 65 GB/s of expert bytes) and the 13.0 GB/s link (was 0.36) +strata serve: adaptive overlap: off: not on a layer split +strata serve: 2318 MiB of VRAM free with everything loaded +strata serve: CUDA1: 3521 MiB of VRAM free with everything loaded +strata serve: CUDA2: 3121 MiB of VRAM free with everything loaded +strata serve: CUDA3: 1163 MiB of VRAM free with everything loaded +strata prefill: FP16 weight cache 0 MiB (the card keeps 3072 MiB free; STRATA_PF_W16_CACHE_MIB=0 turns it off) +strata prefill: QSA layers: norm + rope in one pass on, attention gate in the attention epilogue off +strata prefill: FP16 weight cache 363 MiB (the card keeps 3072 MiB free; STRATA_PF_W16_CACHE_MIB=0 turns it off) +strata prefill: FP16 weight cache 0 MiB (the card keeps 3072 MiB free; STRATA_PF_W16_CACHE_MIB=0 turns it off) +strata prefill: FP16 weight cache 0 MiB (the card keeps 3072 MiB free; STRATA_PF_W16_CACHE_MIB=0 turns it off) +strata verify: capturing the 4-token window (2279 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 3.2 ms +strata verify: capturing the 4-token window (3109 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 2.1 ms +strata verify: capturing the 4-token window (3079 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 2.3 ms +strata verify: capturing the 4-token window (1125 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 2.5 ms +strata verify: capturing the 1-token window (2273 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 3.3 ms +strata verify: capturing the 1-token window (3103 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 2.6 ms +strata verify: capturing the 1-token window (3073 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 2.6 ms +strata verify: capturing the 1-token window (1119 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 2.8 ms +strata verify: capturing the 6-token window (2267 MiB of VRAM free) +strata verify: captured the 6-token window (upload no error, sync no error) in 3.5 ms +strata verify: capturing the 6-token window (3097 MiB of VRAM free) +strata verify: captured the 6-token window (upload no error, sync no error) in 2.4 ms +strata verify: capturing the 6-token window (3067 MiB of VRAM free) +strata verify: captured the 6-token window (upload no error, sync no error) in 2.4 ms +strata verify: capturing the 6-token window (1109 MiB of VRAM free) +strata verify: captured the 6-token window (upload no error, sync no error) in 2.5 ms +strata verify: capturing the 2-token window (2261 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 3.0 ms +strata verify: capturing the 2-token window (3091 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 2.4 ms +strata verify: capturing the 2-token window (3061 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 2.4 ms +strata verify: capturing the 2-token window (1103 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 2.9 ms +strata verify: capturing the 3-token window (2255 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 3.2 ms +strata verify: capturing the 3-token window (3085 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 2.7 ms +strata verify: capturing the 3-token window (3055 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 3.0 ms +strata verify: capturing the 3-token window (1095 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 2.4 ms +strata serve: prompt 75 tokens = 0 reused + 75 read in 614 ms (122.2 tok/s), 128 generated in 959 ms (133.5 tok/s), drafts accepted 78 of 123, 1 checkpoints +strata serve: KV streaming: 99.16% of 18639 block reads hit VRAM, 0.6 MiB read from RAM +strata serve: suffix drafts: 2 windows, 6 of 10 drafts accepted +strata serve: conversation cache: parked 204 tokens in 121.1 ms; parked=1 bytes=241468240 evictions=0 snapshot_bytes=241468240 reused_kv_bytes=0 +strata serve: prompt 77 tokens = 0 reused + 77 read in 362 ms (212.6 tok/s), 364 generated in 2675 ms (136.1 tok/s), drafts accepted 204 of 333, 1 checkpoints +strata serve: KV streaming: 99.66% of 99009 block reads hit VRAM, 1.3 MiB read from RAM +strata serve: suffix drafts: 4 windows, 7 of 12 drafts accepted +strata serve: conversation cache: parked 442 tokens in 123.6 ms; parked=2 bytes=486597536 evictions=0 snapshot_bytes=245129296 reused_kv_bytes=0 +strata serve: prompt 4093 tokens = 0 reused + 4093 read in 2137 ms (1915.5 tok/s), 512 generated in 3749 ms (136.6 tok/s), drafts accepted 274 of 380, 1 checkpoints +strata serve: KV streaming: 99.64% of 959730 block reads hit VRAM, 13.9 MiB read from RAM +strata serve: suffix drafts: 9 windows, 22 of 29 drafts accepted +strata serve: conversation cache: parked 4605 tokens in 155.3 ms; parked=3 bytes=795416992 evictions=0 snapshot_bytes=308819456 reused_kv_bytes=0 +strata serve: prompt 16387 tokens = 0 reused + 16387 read in 5101 ms (3212.4 tok/s), 512 generated in 4005 ms (127.8 tok/s), drafts accepted 267 of 431, 1 checkpoints +strata serve: KV streaming: 98.84% of 1047513 block reads hit VRAM, 48.9 MiB read from RAM +strata serve: suffix drafts: 11 windows, 17 of 33 drafts accepted +strata serve: conversation cache: parked 16898 tokens in 244.0 ms; parked=4 bytes=1292254928 evictions=0 snapshot_bytes=496837936 reused_kv_bytes=0 +strata serve: prompt 77 tokens = 0 reused + 77 read in 482 ms (159.8 tok/s), 385 generated in 2983 ms (129.1 tok/s), drafts accepted 201 of 344, 1 checkpoints +strata serve: KV streaming: 99.68% of 108414 block reads hit VRAM, 1.4 MiB read from RAM +strata serve: suffix drafts: 6 windows, 17 of 18 drafts accepted +strata serve: conversation cache: parked 462 tokens in 117.6 ms; parked=4 bytes=1296221584 evictions=1 snapshot_bytes=245434896 reused_kv_bytes=0 +strata serve: prompt 4093 tokens = 0 reused + 4093 read in 2142 ms (1910.5 tok/s), 512 generated in 3985 ms (128.5 tok/s), drafts accepted 256 of 385, 1 checkpoints +strata serve: KV streaming: 99.65% of 996714 block reads hit VRAM, 13.9 MiB read from RAM +strata serve: suffix drafts: 21 windows, 51 of 65 drafts accepted +strata serve: conversation cache: parked 4606 tokens in 149.5 ms; parked=4 bytes=1359911760 evictions=2 snapshot_bytes=308819472 reused_kv_bytes=0 +strata serve: prompt 16387 tokens = 0 reused + 16387 read in 5133 ms (3192.5 tok/s), 512 generated in 4026 ms (127.2 tok/s), drafts accepted 257 of 383, 1 checkpoints +strata serve: KV streaming: 98.78% of 990519 block reads hit VRAM, 48.6 MiB read from RAM +strata serve: suffix drafts: 8 windows, 14 of 26 drafts accepted +strata serve: conversation cache: parked 16899 tokens in 216.6 ms; parked=4 bytes=1547930256 evictions=3 snapshot_bytes=496837952 reused_kv_bytes=0 +strata serve: prompt 77 tokens = 0 reused + 77 read in 478 ms (161.2 tok/s), 322 generated in 2543 ms (126.6 tok/s), drafts accepted 165 of 294, 1 checkpoints +strata serve: KV streaming: 99.63% of 82056 block reads hit VRAM, 1.2 MiB read from RAM +strata serve: suffix drafts: 2 windows, 3 of 6 drafts accepted +strata serve: conversation cache: parked 400 tokens in 31.8 ms; parked=4 bytes=1295555472 evictions=4 snapshot_bytes=244463152 reused_kv_bytes=0 +strata serve: prompt 4093 tokens = 0 reused + 4093 read in 2060 ms (1986.5 tok/s), 512 generated in 4126 ms (124.1 tok/s), drafts accepted 242 of 381, 1 checkpoints +strata serve: KV streaming: 99.66% of 1009020 block reads hit VRAM, 13.9 MiB read from RAM +strata serve: suffix drafts: 13 windows, 22 of 39 drafts accepted +strata serve: conversation cache: parked 4604 tokens in 56.8 ms; parked=4 bytes=1358885104 evictions=5 snapshot_bytes=308764528 reused_kv_bytes=0 +strata serve: prompt 16387 tokens = 0 reused + 16387 read in 5023 ms (3262.2 tok/s), 512 generated in 3572 ms (143.3 tok/s), drafts accepted 303 of 419, 1 checkpoints +strata serve: KV streaming: 98.77% of 975141 block reads hit VRAM, 48.5 MiB read from RAM +strata serve: suffix drafts: 4 windows, 6 of 12 drafts accepted +strata serve: conversation cache: parked 16899 tokens in 133.3 ms; parked=4 bytes=1546903584 evictions=6 snapshot_bytes=496837952 reused_kv_bytes=0 +strata serve: prompt 82 tokens = 0 reused + 82 read in 376 ms (218.3 tok/s), 74 generated in 465 ms (159.1 tok/s), drafts accepted 49 of 72, 1 checkpoints +strata serve: KV streaming: 98.71% of 9036 block reads hit VRAM, 0.5 MiB read from RAM +strata serve: suffix drafts: 1 windows, 3 of 5 drafts accepted +strata serve: conversation cache: parked 156 tokens in 31.2 ms; parked=4 bytes=1290800544 evictions=7 snapshot_bytes=240734912 reused_kv_bytes=0 +strata serve: prompt 90 tokens = 0 reused + 90 read in 280 ms (320.9 tok/s), 64 generated in 358 ms (178.5 tok/s), drafts accepted 46 of 55, 1 checkpoints +strata serve: KV streaming: 98.38% of 7233 block reads hit VRAM, 0.5 MiB read from RAM +strata serve: conversation cache: parked 155 tokens in 31.1 ms; parked=4 bytes=1287066272 evictions=8 snapshot_bytes=240728880 reused_kv_bytes=0 +strata serve: prompt 85 tokens = 0 reused + 85 read in 277 ms (307.1 tok/s), 81 generated in 433 ms (187.3 tok/s), drafts accepted 57 of 69, 1 checkpoints +strata serve: KV streaming: 98.61% of 9060 block reads hit VRAM, 0.5 MiB read from RAM +strata serve: conversation cache: parked 165 tokens in 31.0 ms; parked=4 bytes=1219213872 evictions=9 snapshot_bytes=240912128 reused_kv_bytes=0 +strata serve: prompt 71 tokens = 0 reused + 71 read in 255 ms (278.9 tok/s), 42 generated in 250 ms (167.9 tok/s), drafts accepted 29 of 35, 1 checkpoints +strata serve: KV streaming: 97.67% of 3732 block reads hit VRAM, 0.4 MiB read from RAM +strata serve: conversation cache: parked 114 tokens in 30.8 ms; parked=4 bytes=962493280 evictions=10 snapshot_bytes=240117360 reused_kv_bytes=0 +strata serve: prompt 4089 tokens = 0 reused + 4089 read in 2052 ms (1993.0 tok/s), 66 generated in 393 ms (167.8 tok/s), drafts accepted 44 of 54, 1 checkpoints +strata serve: KV streaming: 97.65% of 124782 block reads hit VRAM, 11.8 MiB read from RAM +strata serve: conversation cache: parked 4155 tokens in 38.7 ms; parked=4 bytes=1023671232 evictions=11 snapshot_bytes=301912864 reused_kv_bytes=0 +strata serve: prompt 4089 tokens = 0 reused + 4089 read in 2042 ms (2002.3 tok/s), 109 generated in 707 ms (154.2 tok/s), drafts accepted 68 of 86, 1 checkpoints +strata serve: KV streaming: 98.49% of 204882 block reads hit VRAM, 12.5 MiB read from RAM +strata serve: suffix drafts: 1 windows, 1 of 3 drafts accepted +strata serve: conversation cache: parked 4199 tokens in 39.2 ms; parked=4 bytes=1085527536 evictions=12 snapshot_bytes=302585184 reused_kv_bytes=0 +strata serve: prompt 16382 tokens = 0 reused + 16382 read in 4974 ms (3293.2 tok/s), 74 generated in 553 ms (133.8 tok/s), drafts accepted 42 of 62, 1 checkpoints +strata serve: KV streaming: 94.83% of 154050 block reads hit VRAM, 32.1 MiB read from RAM +strata serve: conversation cache: parked 16457 tokens in 62.8 ms; parked=4 bytes=1334730048 evictions=13 snapshot_bytes=490114640 reused_kv_bytes=0 +strata serve: prompt 16390 tokens = 0 reused + 16390 read in 5045 ms (3249.1 tok/s), 118 generated in 775 ms (152.3 tok/s), drafts accepted 74 of 105, 2 checkpoints +strata serve: KV streaming: 96.50% of 235695 block reads hit VRAM, 33.3 MiB read from RAM +strata serve: conversation cache: parked 16507 tokens in 206.5 ms; parked=4 bytes=1704893200 evictions=14 snapshot_bytes=610280512 reused_kv_bytes=0 +strata serve: prompt 325 tokens = 0 reused + 325 read in 658 ms (494.3 tok/s), 64 generated in 361 ms (177.1 tok/s), drafts accepted 47 of 57, 1 checkpoints +strata serve: KV streaming: 98.64% of 21684 block reads hit VRAM, 1.2 MiB read from RAM +strata serve: conversation cache: parked 391 tokens in 31.7 ms; parked=4 bytes=1647319056 evictions=15 snapshot_bytes=244338720 reused_kv_bytes=0 +strata serve: prompt 335 tokens = 0 reused + 335 read in 497 ms (673.9 tok/s), 63 generated in 333 ms (189.1 tok/s), drafts accepted 46 of 51, 1 checkpoints +strata serve: KV streaming: 98.52% of 20268 block reads hit VRAM, 1.2 MiB read from RAM +strata serve: conversation cache: parked 399 tokens in 31.3 ms; parked=4 bytes=1589194992 evictions=16 snapshot_bytes=244461120 reused_kv_bytes=0 +strata serve: prompt 352 tokens = 0 reused + 352 read in 500 ms (703.5 tok/s), 71 generated in 341 ms (208.3 tok/s), drafts accepted 52 of 54, 1 checkpoints +strata serve: KV streaming: 98.58% of 22317 block reads hit VRAM, 1.3 MiB read from RAM +strata serve: conversation cache: parked 422 tokens in 32.0 ms; parked=4 bytes=1343908448 evictions=17 snapshot_bytes=244828096 reused_kv_bytes=0 +strata serve: prompt 339 tokens = 0 reused + 339 read in 498 ms (681.3 tok/s), 64 generated in 355 ms (180.0 tok/s), drafts accepted 46 of 53, 1 checkpoints +strata serve: KV streaming: 98.58% of 21318 block reads hit VRAM, 1.2 MiB read from RAM +strata serve: conversation cache: parked 404 tokens in 32.0 ms; parked=4 bytes=978156400 evictions=18 snapshot_bytes=244528464 reused_kv_bytes=0 +strata serve: prompt 78 tokens = 0 reused + 78 read in 296 ms (263.4 tok/s), 1 generated in 13 ms (78.1 tok/s), drafts accepted 0 of 0, 1 checkpoints +strata serve: KV streaming: 79.38% of 291 block reads hit VRAM, 0.2 MiB read from RAM +strata batch: slot 0 takes 79 tokens (copied in 8.6 ms) +strata serve: prompt 79 tokens = 78 reused + 1 read in 0 ms (23546.0 tok/s), 1 generated in 11 ms (92.7 tok/s), drafts accepted 0 of 0, 1 checkpoints +strata serve: KV streaming: 82.91% of 351 block reads hit VRAM, 0.2 MiB read from RAM +strata verify: captured the batch window over slots 0 +strata verify: captured the batch window over slots 0 +strata verify: captured the batch window over slots 0 +strata verify: captured the batch window over slots 0 +strata serve: conversation cache: parked 79 tokens in 31.4 ms; parked=4 bytes=973385088 evictions=19 snapshot_bytes=239567408 reused_kv_bytes=0 +strata batch: slot 1 takes 78 tokens (copied in 1.0 ms) +strata serve: prompt 78 tokens = 0 reused + 78 read in 264 ms (295.7 tok/s), 1 generated in 11 ms (89.0 tok/s), drafts accepted 0 of 0, 0 checkpoints +strata serve: KV streaming: 79.38% of 291 block reads hit VRAM, 0.2 MiB read from RAM +strata verify: captured the batch window over slots 1 +strata verify: captured the batch window over slots 1 +strata verify: captured the batch window over slots 1 +strata verify: captured the batch window over slots 1 +strata serve: conversation cache: parked 78 tokens in 19.7 ms; parked=4 bytes=849320064 evictions=20 snapshot_bytes=120396096 reused_kv_bytes=0 +strata batch: slot 2 takes 78 tokens (copied in 1.0 ms) +strata serve: prompt 78 tokens = 0 reused + 78 read in 259 ms (301.6 tok/s), 1 generated in 11 ms (93.4 tok/s), drafts accepted 0 of 0, 0 checkpoints +strata serve: KV streaming: 79.38% of 291 block reads hit VRAM, 0.2 MiB read from RAM +strata verify: captured the batch window over slots 2 +strata verify: captured the batch window over slots 2 +strata verify: captured the batch window over slots 2 +strata verify: captured the batch window over slots 2 +strata serve: conversation cache: parked 78 tokens in 19.6 ms; parked=4 bytes=724888064 evictions=21 snapshot_bytes=120396096 reused_kv_bytes=0 +strata serve: conversation cache: slot 2 not parked before its overwrite (its 509 tokens have no per-slot draft K/V without --batch-mtp) +strata batch: slot 2 takes 78 tokens (copied in 0.9 ms) +strata serve: prompt 78 tokens = 0 reused + 78 read in 258 ms (301.8 tok/s), 1 generated in 11 ms (93.5 tok/s), drafts accepted 0 of 0, 0 checkpoints +strata serve: KV streaming: 79.38% of 291 block reads hit VRAM, 0.2 MiB read from RAM +strata batch (pipelined, 3 groups of 1): 1519 group-steps, 1519 rows in 6649 ms = 228.5 rows/s (admissions included) +strata serve: conversation cache: parked 78 tokens in 19.6 ms; parked=4 bytes=600755696 evictions=22 snapshot_bytes=120396096 reused_kv_bytes=0 +strata batch: slot 2 gave back 158 tokens of this conversation (all it holds) in 8.1 ms +strata serve: prompt 159 tokens = 158 reused + 1 read in 28 ms (35.9 tok/s), 409 generated in 2601 ms (157.2 tok/s), drafts accepted 261 of 371, 1 checkpoints +strata serve: KV streaming: 99.69% of 139788 block reads hit VRAM, 1.7 MiB read from RAM +strata serve: conversation cache: parked 570 tokens in 32.1 ms; parked=4 bytes=608273440 evictions=23 snapshot_bytes=247085152 reused_kv_bytes=0 +strata serve: prompt 78 tokens = 0 reused + 78 read in 269 ms (289.9 tok/s), 1 generated in 13 ms (79.3 tok/s), drafts accepted 0 of 0, 1 checkpoints +strata serve: KV streaming: 79.38% of 291 block reads hit VRAM, 0.2 MiB read from RAM +strata serve: conversation cache: slot 1 not parked before its overwrite (its 576 tokens have no per-slot draft K/V without --batch-mtp) +strata batch: slot 1 takes 79 tokens (copied in 8.7 ms) +strata serve: prompt 79 tokens = 78 reused + 1 read in 0 ms (22888.0 tok/s), 1 generated in 11 ms (90.6 tok/s), drafts accepted 0 of 0, 1 checkpoints +strata serve: KV streaming: 82.91% of 351 block reads hit VRAM, 0.2 MiB read from RAM +strata serve: conversation cache: parked 79 tokens in 31.0 ms; parked=4 bytes=727444752 evictions=24 snapshot_bytes=239567408 reused_kv_bytes=0 +strata serve: conversation cache: slot 0 not parked before its overwrite (its 589 tokens have no per-slot draft K/V without --batch-mtp) +strata batch: slot 0 takes 78 tokens (copied in 1.0 ms) +strata serve: prompt 78 tokens = 0 reused + 78 read in 266 ms (292.9 tok/s), 1 generated in 11 ms (93.0 tok/s), drafts accepted 0 of 0, 0 checkpoints +strata serve: KV streaming: 79.38% of 291 block reads hit VRAM, 0.2 MiB read from RAM +strata serve: conversation cache: parked 78 tokens in 19.5 ms; parked=4 bytes=727444752 evictions=25 snapshot_bytes=120396096 reused_kv_bytes=0 +strata batch: slot 2 takes 78 tokens (copied in 1.0 ms) +strata serve: prompt 78 tokens = 0 reused + 78 read in 251 ms (310.5 tok/s), 1 generated in 11 ms (92.2 tok/s), drafts accepted 0 of 0, 0 checkpoints +strata serve: KV streaming: 79.38% of 291 block reads hit VRAM, 0.2 MiB read from RAM +strata serve: conversation cache: parked 78 tokens in 19.9 ms; parked=4 bytes=727444752 evictions=26 snapshot_bytes=120396096 reused_kv_bytes=0 +strata serve: conversation cache: slot 2 not parked before its overwrite (its 509 tokens have no per-slot draft K/V without --batch-mtp) +strata batch: slot 2 takes 78 tokens (copied in 1.0 ms) +strata serve: prompt 78 tokens = 0 reused + 78 read in 251 ms (310.4 tok/s), 1 generated in 11 ms (89.5 tok/s), drafts accepted 0 of 0, 0 checkpoints +strata serve: KV streaming: 79.38% of 291 block reads hit VRAM, 0.2 MiB read from RAM diff --git a/bench/results/2026-11-08-standard-4x-rtx-3090-8be2bf4a/outputs.jsonl b/bench/results/2026-11-08-standard-4x-rtx-3090-8be2bf4a/outputs.jsonl new file mode 100644 index 00000000000..185bd1f5c20 --- /dev/null +++ b/bench/results/2026-11-08-standard-4x-rtx-3090-8be2bf4a/outputs.jsonl @@ -0,0 +1,34 @@ +{"request_id": "warmup", "phase": "warmup", "case_id": "warmup", "request": {"stream": true, "stream_options": {"include_usage": true}, "max_tokens": 128, "seed": 1, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}}, "messages": [{"role": "user", "content": "[case warmup]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table finds a value in two main steps:\n\n1. **Hash the key**\n - The hash table takes the key and runs it through a hash function.\n - The hash function produces a number.\n - That number is used to pick a", "reasoning": "We need answer user's request: \"[case warmup] Explain how a hash table finds a value, including collisions and one small example.\" Need produce final. Simple explanation. Need include hash table lookup: hash key to bucket, index, compare keys, collisions via chaining or open addressing, example. Keep concise but detailed. Ensure no weird.\n", "tool_calls": [], "finish_reason": "length", "usage": {"prompt_tokens": 75, "completion_tokens": 128, "total_tokens": 203, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 75, "prompt_ms": 613.9, "prompt_per_token_ms": 8.185, "prompt_per_second": 122.2, "predicted_n": 128, "predicted_ms": 958.6, "predicted_per_token_ms": 7.489, "predicted_per_second": 133.5, "draft_n": 123, "draft_n_accepted": 78}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 1.577296, "first_delta": {"offset_s": 0.641899, "kind": "reasoning"}, "first_answer_offset_s": 1.238485, "client_events": [[0.641899, "reasoning"], [0.660521, "reasoning"], [0.660561, "reasoning"], [0.66061, "reasoning"], [0.660662, "reasoning"], [0.679679, "reasoning"], [0.679712, "reasoning"], [0.679766, "reasoning"], [0.698561, "reasoning"], [0.698582, "reasoning"], [0.698621, "reasoning"], [0.698663, "reasoning"], [0.717498, "reasoning"], [0.717519, "reasoning"], [0.717568, "reasoning"], [0.717597, "reasoning"], [0.736279, "reasoning"], [0.736313, "reasoning"], [0.736336, "reasoning"], [0.736354, "reasoning"], [0.772256, "reasoning"], [0.7723, "reasoning"], [0.772324, "reasoning"], [0.772346, "reasoning"], [0.772363, "reasoning"], [0.77238, "reasoning"], [0.797472, "reasoning"], [0.7975, "reasoning"], [0.823023, "reasoning"], [0.823061, "reasoning"], [0.837256, "reasoning"], [0.837283, "reasoning"], [0.856316, "reasoning"], [0.870922, "reasoning"], [0.899089, "reasoning"], [0.899131, "reasoning"], [0.89915, "reasoning"], [0.917763, "reasoning"], [0.936167, "reasoning"], [0.955529, "reasoning"], [0.97044, "reasoning"], [0.97047, "reasoning"], [0.989281, "reasoning"], [0.989308, "reasoning"], [1.00651, "reasoning"], [1.026072, "reasoning"], [1.026099, "reasoning"], [1.044364, "reasoning"], [1.044391, "reasoning"], [1.044409, "reasoning"], [1.058655, "reasoning"], [1.058682, "reasoning"], [1.070217, "reasoning"], [1.087239, "reasoning"], [1.087266, "reasoning"], [1.087285, "reasoning"], [1.104588, "reasoning"], [1.104622, "reasoning"], [1.104642, "reasoning"], [1.124695, "reasoning"], [1.124722, "reasoning"], [1.143394, "reasoning"], [1.143421, "reasoning"], [1.162146, "reasoning"], [1.176408, "reasoning"], [1.176436, "reasoning"], [1.187876, "reasoning"], [1.199628, "reasoning"], [1.218912, "reasoning"], [1.218951, "reasoning"], [1.238485, "answer"], [1.238519, "answer"], [1.238542, "answer"], [1.238559, "answer"], [1.25831, "answer"], [1.258349, "answer"], [1.258369, "answer"], [1.277394, "answer"], [1.295844, "answer"], [1.295871, "answer"], [1.295902, "answer"], [1.314256, "answer"], [1.314284, "answer"], [1.314302, "answer"], [1.314333, "answer"], [1.332934, "answer"], [1.332968, "answer"], [1.332987, "answer"], [1.35169, "answer"], [1.351717, "answer"], [1.351735, "answer"], [1.351764, "answer"], [1.37039, "answer"], [1.370417, "answer"], [1.387362, "answer"], [1.387397, "answer"], [1.387416, "answer"], [1.399133, "answer"], [1.417657, "answer"], [1.41769, "answer"], [1.417713, "answer"], [1.41773, "answer"], [1.43662, "answer"], [1.436647, "answer"], [1.436677, "answer"], [1.456073, "answer"], [1.456106, "answer"], [1.456129, "answer"], [1.456146, "answer"], [1.468262, "answer"], [1.482579, "answer"], [1.482607, "answer"], [1.501057, "answer"], [1.520013, "answer"], [1.520046, "answer"], [1.520065, "answer"], [1.53915, "answer"], [1.539183, "answer"], [1.539206, "answer"], [1.539223, "answer"], [1.558682, "answer"], [1.576994, "answer"]]} +{"request_id": "performance-short-r1", "phase": "performance", "case_id": "short", "request": {"stream": true, "stream_options": {"include_usage": true}, "max_tokens": 512, "seed": 1, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}}, "messages": [{"role": "user", "content": "[case performance-short-r1]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table finds a value by converting the search key into an array index.\n\nExample table size: 8 slots.\n\n1. **Hash the key**\n - Example keys: `\"apple\"` and `\"banana\"`\n - Suppose:\n - `hash(\"apple\") % 8 = 2`\n - `hash(\"banana\") % 8 = 2`\n\n2. **Go to that slot**\n - Both keys hash to slot 2.\n - This is a **collision**: different keys map to the same index.\n\n3. **Resolve the collision**\n - One common method is **chaining**: slot 2 stores a small list.\n - After insertion, slot 2 contains:\n - `(\"apple\", 5)`\n - `(\"banana\", 7)`\n\n4. **Search**\n - To find `\"banana\"`:\n - Hash `\"banana\"` to slot 2\n - Look through the list at slot 2\n - Compare keys until `\"banana\"` matches\n - Return `7`\n\nSo the value is found by hashing to a location, then handling collisions if multiple keys share that location.", "reasoning": "We need answer user: \"Explain how a hash table finds a value, including collisions and one small example. Need produce final answer. Need maybe concise but thorough. User likely wants explanation. Let's craft. Include: key -> hash -> index -> bucket. If key matches return value. Collisions: same index; handle via chaining or open addressing. Small example with table size maybe 8. Keys \"apple\", \"banana\". Show hashes modulo. Collision. Search: hash banana, probe/chain compare keys. 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beta gamma delta epsilon zeta eta theta.\nrecord000002: alpha beta gamma delta epsilon zeta eta theta.\nrecord000003: alpha beta gamma delta epsilon zeta eta theta.\nrecord000004: alpha beta gamma delta epsilon zeta eta theta.\nrecord000005: alpha beta gamma delta epsilon zeta eta theta.\nrecord000006: alpha beta gamma delta epsilon zeta eta theta.\nrecord000007: alpha beta gamma delta epsilon zeta eta theta.\nrecord000008: alpha beta gamma delta epsilon zeta eta theta.\nrecord000009: alpha beta gamma delta epsilon zeta eta theta.\nrecord000010: alpha beta gamma delta epsilon zeta eta theta.\nrecord000011: alpha beta gamma delta epsilon zeta eta theta.\nrecord000012: alpha beta gamma delta epsilon zeta eta theta.\nrecord000013: alpha beta gamma delta epsilon zeta eta theta.\nrecord000014: alpha beta gamma delta epsilon zeta eta theta.\nrecord000015: alpha beta gamma delta epsilon zeta eta theta.\nrecord000016: alpha beta gamma delta epsilon zeta eta theta.\nrecord000017: alpha beta 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theta.\nrecord000082: alpha beta gamma delta epsilon zeta eta theta.\nrecord000083: alpha beta gamma delta epsilon zeta eta theta.\nrecord000084: alpha beta gamma delta epsilon zeta eta theta.\nrecord000085: alpha beta gamma delta epsilon zeta eta theta.\nrecord000086: alpha beta gamma delta epsilon zeta eta theta.\nrecord000087: alpha beta gamma delta epsilon zeta eta theta.\nrecord000088: alpha beta gamma delta epsilon zeta eta theta.\nrecord000089: alpha beta gamma delta epsilon zeta eta theta.\nrecord000090: alpha beta gamma delta epsilon zeta eta theta.\nrecord000091: alpha beta gamma delta epsilon zeta eta theta.\nrecord000092: alpha beta gamma delta epsilon zeta eta theta.\nrecord000093: alpha beta gamma delta epsilon zeta eta theta.\nrecord000094: alpha beta gamma delta epsilon zeta eta theta.\nrecord000095: alpha beta gamma delta epsilon zeta eta theta.\nrecord000096: alpha beta gamma delta epsilon zeta eta theta.\nrecord000097: alpha beta gamma delta epsilon zeta eta theta.\nrecord000098: alpha beta gamma delta epsilon zeta eta theta.\nrecord000099: alpha beta gamma delta epsilon zeta eta theta.\nrecord000100: alpha beta gamma delta epsilon zeta eta theta.\nrecord000101: alpha beta gamma delta epsilon zeta eta theta.\nrecord000102: alpha beta gamma delta epsilon zeta eta theta.\nrecord000103: alpha beta gamma delta epsilon zeta eta theta.\nrecord000104: alpha beta gamma delta epsilon zeta eta theta.\nrecord000105: alpha beta gamma delta epsilon zeta eta theta.\nrecord000106: alpha beta gamma delta epsilon zeta eta theta.\nrecord000107: alpha beta gamma delta epsilon zeta eta theta.\nrecord000108: alpha beta gamma delta epsilon zeta eta theta.\nrecord000109: alpha beta gamma delta epsilon zeta eta theta.\nrecord000110: alpha beta gamma delta epsilon zeta eta theta.\nrecord000111: alpha beta gamma delta epsilon zeta eta theta.\nrecord000112: alpha beta gamma delta epsilon zeta eta theta.\nrecord000113: alpha beta gamma delta epsilon zeta eta theta.\nrecord000114: alpha beta gamma delta epsilon zeta eta theta.\nrecord000115: alpha beta gamma delta epsilon zeta eta theta.\nrecord000116: alpha beta gamma delta epsilon zeta eta theta.\nrecord000117: alpha beta gamma delta epsilon zeta eta theta.\nrecord000118: alpha beta gamma delta epsilon zeta eta theta.\nrecord000119: alpha beta gamma delta epsilon zeta eta theta.\nrecord000120: alpha beta gamma delta epsilon zeta eta theta.\nrecord000121: alpha beta gamma delta epsilon zeta eta theta.\nrecord000122: alpha beta gamma delta epsilon zeta eta theta.\nrecord000123: alpha beta gamma delta epsilon zeta eta theta.\nrecord000124: alpha beta gamma delta epsilon zeta eta theta.\nrecord000125: alpha beta gamma delta epsilon zeta eta theta.\nrecord000126: alpha beta gamma delta epsilon zeta eta theta.\nrecord000127: alpha beta gamma delta epsilon zeta eta theta.\nrecord000128: alpha beta gamma delta epsilon zeta eta theta.\nrecord000129: alpha beta gamma delta epsilon zeta eta theta.\nrecord000130: alpha beta gamma delta epsilon zeta eta theta.\nrecord000131: alpha beta gamma delta epsilon zeta eta theta.\nrecord000132: alpha beta gamma delta epsilon zeta eta theta.\nrecord000133: alpha beta gamma delta epsilon zeta eta theta.\nrecord000134: alpha beta gamma delta epsilon zeta eta theta.\nrecord000135: alpha beta gamma delta epsilon zeta eta theta.\nrecord000136: alpha beta gamma delta epsilon zeta eta theta.\nrecord000137: alpha beta gamma delta epsilon zeta eta theta.\nrecord000138: alpha beta gamma delta epsilon zeta eta theta.\nrecord000139: alpha beta gamma delta epsilon zeta eta theta.\nrecord000140: alpha beta gamma delta epsilon zeta eta theta.\nrecord000141: alpha beta gamma delta epsilon zeta eta theta.\nrecord000142: alpha beta gamma delta epsilon zeta eta theta.\nrecord000143: alpha beta gamma delta epsilon zeta eta theta.\nrecord000144: alpha beta gamma delta epsilon zeta eta theta.\nrecord000145: alpha beta gamma delta epsilon zeta eta theta.\nrecord000146: alpha beta gamma delta epsilon zeta eta theta.\nrecord000147: alpha beta gamma delta epsilon zeta eta theta.\nrecord000148: alpha beta gamma delta epsilon zeta eta theta.\nrecord000149: alpha beta gamma delta epsilon zeta eta theta.\nrecord000150: alpha beta gamma delta epsilon zeta eta theta.\nrecord000151: alpha beta gamma delta epsilon zeta eta theta.\nrecord000152: alpha beta gamma delta epsilon zeta eta theta.\nrecord000153: alpha beta gamma delta epsilon zeta eta theta.\nrecord000154: alpha beta gamma delta epsilon zeta eta theta.\nrecord000155: alpha beta gamma delta epsilon zeta eta theta.\nrecord000156: alpha beta gamma delta epsilon zeta eta theta.\nrecord000157: alpha beta gamma delta epsilon zeta eta theta.\nrecord000158: alpha beta gamma delta epsilon zeta eta theta.\nrecord000159: alpha beta gamma delta epsilon zeta eta theta.\nrecord000160: alpha beta gamma delta epsilon zeta eta theta.\nrecord000161: alpha beta gamma delta epsilon zeta eta theta.\nrecord000162: alpha beta gamma delta epsilon zeta eta theta.\nrecord000163: alpha beta gamma delta epsilon zeta eta theta.\nrecord000164: alpha beta gamma delta epsilon zeta eta theta.\nrecord000165: alpha beta gamma delta epsilon zeta eta theta.\nrecord000166: alpha beta gamma delta epsilon zeta eta theta.\nrecord000167: alpha beta gamma delta epsilon zeta eta theta.\nrecord000168: alpha beta gamma delta epsilon zeta eta theta.\nrecord000169: alpha beta gamma delta epsilon zeta eta theta.\nrecord000170: alpha beta gamma delta epsilon zeta eta theta.\nrecord000171: alpha beta gamma delta epsilon zeta eta theta.\nrecord000172: alpha beta gamma delta epsilon zeta eta theta.\nrecord000173: alpha beta gamma delta epsilon zeta eta theta.\nrecord000174: alpha beta gamma delta epsilon zeta eta theta.\nrecord000175: alpha beta gamma delta epsilon zeta eta theta.\nrecord000176: alpha beta gamma delta epsilon zeta eta theta.\nrecord000177: alpha beta gamma delta epsilon zeta eta theta.\nrecord000178: alpha beta gamma delta epsilon zeta eta theta.\nrecord000179: alpha beta gamma delta epsilon zeta eta theta.\nrecord000180: alpha beta gamma delta epsilon zeta eta theta.\nrecord000181: alpha beta gamma delta epsilon zeta eta theta.\nrecord000182: alpha beta gamma delta epsilon zeta eta theta.\nrecord000183: alpha beta gamma delta epsilon zeta eta theta.\nrecord000184: alpha beta gamma delta epsilon zeta eta theta.\nrecord000185: alpha beta gamma delta epsilon zeta eta theta.\nrecord000186: alpha beta gamma delta epsilon zeta eta theta.\nrecord000187: alpha beta gamma delta epsilon zeta eta theta.\nrecord000188: alpha beta gamma delta epsilon zeta eta theta.\nrecord000189: alpha beta gamma delta epsilon zeta eta theta.\nrecord000190: alpha beta gamma delta epsilon zeta eta theta.\nrecord000191: alpha beta gamma delta epsilon zeta eta theta.\nrecord000192: alpha beta gamma delta epsilon zeta eta theta.\nrecord000193: alpha beta gamma delta epsilon zeta eta theta.\nrecord000194: alpha beta gamma delta epsilon zeta eta theta.\nrecord000195: alpha beta gamma delta epsilon zeta eta theta.\nrecord000196: alpha beta gamma delta epsilon zeta eta theta.\nrecord000197: alpha beta gamma delta epsilon zeta eta theta.\nrecord000198: alpha beta gamma delta epsilon zeta eta theta.\nrecord000199: alpha beta gamma delta epsilon zeta eta theta.\nrecord000200: alpha beta gamma delta epsilon zeta eta theta.\nrecord000201: alpha beta gamma delta epsilon zeta eta theta.\nrecord000202: alpha beta gamma delta epsilon zeta eta theta.\nrecord000203: alpha beta gamma delta epsilon zeta eta theta.\nrecord000204: alpha beta gamma delta epsilon zeta eta theta.\nrecord000205: alpha beta gamma delta epsilon zeta eta theta.\nrecord000206: alpha beta gamma delta epsilon zeta eta theta.\nrecord000207: alpha beta gamma delta epsilon zeta eta theta.\nrecord000208: alpha beta gamma delta epsilon zeta eta theta.\nrecord000209: alpha beta gamma delta epsilon zeta eta theta.\nrecord000210: alpha beta gamma delta epsilon zeta eta theta.\nrecord000211: alpha beta gamma delta epsilon zeta eta theta.\nSummarize the structure of these records and explain how to look up a record by its ID."}], "tools": null, "final_answer": "The records have a simple, uniform structure:\n\n- **Line format:** \n `record<6-digit zero-padded ID>: alpha beta gamma delta epsilon zeta eta theta.`\n\n- **Components:**\n - `record` — fixed prefix\n - `000001` through `000211` — zero-padded 6-digit numeric ID\n - `:` — separator between ID and payload\n - Payload — always the same 8 words:\n 1. alpha\n 2. beta\n 3. gamma\n 4. delta\n 5. epsilon\n 6. zeta\n 7. eta\n 8. theta\n\n- **Important trait:** \n Every record currently has the same content except for its numeric ID.\n\nTo look up a record by its ID:\n\n1. **Convert the ID to the expected format.** \n If the ID is numeric, zero-pad it to 6 digits.\n\n Example:\n - `42` → `000042`\n - `199` → `000", "reasoning": "We need answer user's request. User provided many records: format \"record000001: alpha beta gamma delta epsilon zeta eta theta.\" etc up to 211, and asks: \"Summarize the structure of these records and explain how to look up a record by its ID.\" Need provide concise but detailed. Need final only. Analyze in English? User English. Need maybe mention all records have identical payload, 8 fields after colon, fixed zero-padded six-digit ID after record prefix. Lookup by ID: exact match prefix+zero-padded ID; retrieve line, parse ID and fields; in programming regex ^record(\\d{6}): (.*)$ or dictionary mapping. Could mention ID numeric value maps to line order: line n corresponds to record00000n for n=1..211 (assuming sequential). If ID provided as e.g. 42, pad to 000042; if string, normalize. For missing outside range not present. Also maybe summarize: each record has identifier and value list, no nested data. Need maybe mention if want look up by ID manually: scan or use find/grep: grep '^record000042:'. Could be enough. Ensure final answers.\n", "tool_calls": [], "finish_reason": "length", "usage": {"prompt_tokens": 4093, "completion_tokens": 512, "total_tokens": 4605, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 4093, "prompt_ms": 2136.8, "prompt_per_token_ms": 0.522, "prompt_per_second": 1915.5, "predicted_n": 512, "predicted_ms": 3749.1, "predicted_per_token_ms": 7.322, "predicted_per_second": 136.6, "draft_n": 380, "draft_n_accepted": 274}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 5.892004, "first_delta": {"offset_s": 2.153539, "kind": "reasoning"}, "first_answer_offset_s": 4.361331, "client_events": [[2.153539, "reasoning"], [2.172388, "reasoning"], [2.172407, "reasoning"], [2.17245, "reasoning"], [2.172487, "reasoning"], [2.190397, "reasoning"], [2.190417, "reasoning"], [2.190461, "reasoning"], [2.190507, "reasoning"], [2.207006, "reasoning"], [2.207037, "reasoning"], [2.207098, "reasoning"], [2.225445, "reasoning"], 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theta.\nrecord000773: alpha beta gamma delta epsilon zeta eta theta.\nrecord000774: alpha beta gamma delta epsilon zeta eta theta.\nrecord000775: alpha beta gamma delta epsilon zeta eta theta.\nrecord000776: alpha beta gamma delta epsilon zeta eta theta.\nrecord000777: alpha beta gamma delta epsilon zeta eta theta.\nrecord000778: alpha beta gamma delta epsilon zeta eta theta.\nrecord000779: alpha beta gamma delta epsilon zeta eta theta.\nrecord000780: alpha beta gamma delta epsilon zeta eta theta.\nrecord000781: alpha beta gamma delta epsilon zeta eta theta.\nrecord000782: alpha beta gamma delta epsilon zeta eta theta.\nrecord000783: alpha beta gamma delta epsilon zeta eta theta.\nrecord000784: alpha beta gamma delta epsilon zeta eta theta.\nrecord000785: alpha beta gamma delta epsilon zeta eta theta.\nrecord000786: alpha beta gamma delta epsilon zeta eta theta.\nrecord000787: alpha beta gamma delta epsilon zeta eta theta.\nrecord000788: alpha beta gamma delta epsilon zeta eta theta.\nrecord000789: alpha beta gamma delta epsilon zeta eta theta.\nrecord000790: alpha beta gamma delta epsilon zeta eta theta.\nrecord000791: alpha beta gamma delta epsilon zeta eta theta.\nrecord000792: alpha beta gamma delta epsilon zeta eta theta.\nrecord000793: alpha beta gamma delta epsilon zeta eta theta.\nrecord000794: alpha beta gamma delta epsilon zeta eta theta.\nrecord000795: alpha beta gamma delta epsilon zeta eta theta.\nrecord000796: alpha beta gamma delta epsilon zeta eta theta.\nrecord000797: alpha beta gamma delta epsilon zeta eta theta.\nrecord000798: alpha beta gamma delta epsilon zeta eta theta.\nrecord000799: alpha beta gamma delta epsilon zeta eta theta.\nrecord000800: alpha beta gamma delta epsilon zeta eta theta.\nrecord000801: alpha beta gamma delta epsilon zeta eta theta.\nrecord000802: alpha beta gamma delta epsilon zeta eta theta.\nrecord000803: alpha beta gamma delta epsilon zeta eta theta.\nrecord000804: alpha beta gamma delta epsilon zeta eta theta.\nrecord000805: alpha beta gamma delta epsilon zeta eta theta.\nrecord000806: alpha beta gamma delta epsilon zeta eta theta.\nrecord000807: alpha beta gamma delta epsilon zeta eta theta.\nrecord000808: alpha beta gamma delta epsilon zeta eta theta.\nrecord000809: alpha beta gamma delta epsilon zeta eta theta.\nrecord000810: alpha beta gamma delta epsilon zeta eta theta.\nrecord000811: alpha beta gamma delta epsilon zeta eta theta.\nrecord000812: alpha beta gamma delta epsilon zeta eta theta.\nrecord000813: alpha beta gamma delta epsilon zeta eta theta.\nrecord000814: alpha beta gamma delta epsilon zeta eta theta.\nrecord000815: alpha beta gamma delta epsilon zeta eta theta.\nrecord000816: alpha beta gamma delta epsilon zeta eta theta.\nrecord000817: alpha beta gamma delta epsilon zeta eta theta.\nrecord000818: alpha beta gamma delta epsilon zeta eta theta.\nrecord000819: alpha beta gamma delta epsilon zeta eta theta.\nrecord000820: alpha beta gamma delta epsilon zeta eta theta.\nrecord000821: alpha beta gamma delta epsilon zeta eta theta.\nrecord000822: alpha beta gamma delta epsilon zeta eta theta.\nrecord000823: alpha beta gamma delta epsilon zeta eta theta.\nrecord000824: alpha beta gamma delta epsilon zeta eta theta.\nrecord000825: alpha beta gamma delta epsilon zeta eta theta.\nrecord000826: alpha beta gamma delta epsilon zeta eta theta.\nrecord000827: alpha beta gamma delta epsilon zeta eta theta.\nrecord000828: alpha beta gamma delta epsilon zeta eta theta.\nrecord000829: alpha beta gamma delta epsilon zeta eta theta.\nrecord000830: alpha beta gamma delta epsilon zeta eta theta.\nrecord000831: alpha beta gamma delta epsilon zeta eta theta.\nrecord000832: alpha beta gamma delta epsilon zeta eta theta.\nrecord000833: alpha beta gamma delta epsilon zeta eta theta.\nrecord000834: alpha beta gamma delta epsilon zeta eta theta.\nrecord000835: alpha beta gamma delta epsilon zeta eta theta.\nrecord000836: alpha beta gamma delta epsilon zeta eta theta.\nrecord000837: alpha beta gamma delta epsilon zeta eta theta.\nrecord000838: alpha beta gamma delta epsilon zeta eta theta.\nrecord000839: alpha beta gamma delta epsilon zeta eta theta.\nrecord000840: alpha beta gamma delta epsilon zeta eta theta.\nrecord000841: alpha beta gamma delta epsilon zeta eta theta.\nrecord000842: alpha beta gamma delta epsilon zeta eta theta.\nrecord000843: alpha beta gamma delta epsilon zeta eta theta.\nrecord000844: alpha beta gamma delta epsilon zeta eta theta.\nrecord000845: alpha beta gamma delta epsilon zeta eta theta.\nrecord000846: alpha beta gamma delta epsilon zeta eta theta.\nrecord000847: alpha beta gamma delta epsilon zeta eta theta.\nrecord000848: alpha beta gamma delta epsilon zeta eta theta.\nrecord000849: alpha beta gamma delta epsilon zeta eta theta.\nrecord000850: alpha beta gamma delta epsilon zeta eta theta.\nrecord000851: alpha beta gamma delta epsilon zeta eta theta.\nrecord000852: alpha beta gamma delta epsilon zeta eta theta.\nrecord000853: alpha beta gamma delta epsilon zeta eta theta.\nrecord000854: alpha beta gamma delta epsilon zeta eta theta.\nrecord000855: alpha beta gamma delta epsilon zeta eta theta.\nrecord000856: alpha beta gamma delta epsilon zeta eta theta.\nrecord000857: alpha beta gamma delta epsilon zeta eta theta.\nrecord000858: alpha beta gamma delta epsilon zeta eta theta.\nSummarize the structure of these records and explain how to look up a record by its ID."}], "tools": null, "final_answer": "The records have a very simple, uniform structure:\n\n```text\nrecordNNNNNN: alpha beta gamma delta epsilon zeta eta theta.\n```\n\n### Record structure\n\nEach line represents one record and has two logical parts:\n\n1. **Record ID**\n - Format: `recordNNNNNN`\n - `record` is a fixed prefix.\n - `NNNNNN` is a six-digit, zero-padded numeric ID.\n - Example IDs:\n ```text\n record000001\n record000042\n record000858\n ```\n\n2. **Record payload**\n - After the ID comes a colon and space:\n ```text\n : \n", "reasoning": "We need answer user. User provided a long list of records from record000001 to record000858, each identical: \"alpha beta gamma delta epsilon zeta eta theta.\" Then asks: Summarize the structure of these records and explain how to look up a record by its ID.\n\nNeed produce final answer. Need maybe analyze content. It's simple. Need mention each record line: ID token recordNNNNNN colon space then fixed payload of eight Greek letter words separated by spaces ending period. IDs sequential zero-padded six digits from 000001 to 000858 inclusive. Total 858 records, no variations. Lookup by ID: exact string match or extract ID field; e.g. grep \"^record000123: \" file or search for recordNNNNNN; since payload constant, record by ID can be generated directly as `record%06d: alpha beta gamma delta epsilon zeta eta theta.` if within range. Need maybe mention ID uniqueness, format. Also if lookup in memory: parse line split at colon. Provide example. Need final concise but thorough. Ensure not overdo? Desired 9 so detailed. Could include pseudo steps. Need maybe address case performance? Not relevant. Maybe mention if many duplicate payload, lookup O(1) possible. Also caution IDs zero-padded six digits. Need maybe say record ID appears only at start of line. Let's craft final with structure, ID range, lookup methods, formula, example record000123, edge cases: IDs 1-858 valid; zero-padded; if no leading zeros normalize.\n", "tool_calls": [], "finish_reason": "length", "usage": {"prompt_tokens": 16387, "completion_tokens": 512, "total_tokens": 16899, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 16387, "prompt_ms": 5101.1, "prompt_per_token_ms": 0.311, "prompt_per_second": 3212.4, "predicted_n": 512, "predicted_ms": 4005.0, "predicted_per_token_ms": 7.822, "predicted_per_second": 127.8, "draft_n": 431, "draft_n_accepted": 267}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 9.121128, "first_delta": {"offset_s": 5.126792, "kind": "reasoning"}, "first_answer_offset_s": 8.033994, "client_events": [[5.126792, "reasoning"], [5.145275, "reasoning"], [5.145297, "reasoning"], [5.145311, "reasoning"], [5.145351, "reasoning"], [5.159721, "reasoning"], [5.159743, "reasoning"], 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"reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}}, "messages": [{"role": "user", "content": "[case performance-short-r2]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table finds a value by using the key to compute a hash code, then mapping that hash to a bucket/index in an array. It stores key-value pairs in that bucket. On lookup, it hashes the key again, goes to the same bucket, and checks for a matching key.\n\nIf two different keys hash to the same index, that’s a collision. Common fixes include:\n\n- Separate chaining: each bucket holds a list of entries.\n- Open addressing: if a bucket is full, probe another bucket.\n\nExample with table size 7 and hash `length(key) % 7`:\n\n- Insert `\"cat\"` → hash = `3 % 7 = 3` → store in bucket 3.\n- Insert `\"dog\"` → hash = `3 % 7 = 3` → collision with `\"cat\"`.\n\nWith chaining, bucket 3 contains `[\"cat\", \"dog\"]`. To find `\"dog\"`, hash it to bucket 3, scan the list, compare keys, and return its value.", "reasoning": "We need answer user's request: \"Explain how a hash table finds a value, including collisions and one small example.\" Need produce final concise but informative. Need include hash table lookup process: compute hash of key, map to bucket/index, retrieve stored entry, compare key (handle keys may hash same), collisions: separate chaining or open addressing. Example small: table size 7, hash function len(key)%7 maybe keys: \"cat\" length 3 => index 3. Insert \"dog\" length 3 collision same index 3: if chaining add linked list; lookup dog hash to 3, traverse list compare \"dog\". Or open addressing probe next slot. Need be careful. The prompt [case performance-short-r2] likely wants short. Answer in plain English. No need code. Final only.\n", "tool_calls": [], "finish_reason": "stop", "usage": {"prompt_tokens": 77, "completion_tokens": 385, "total_tokens": 462, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 77, "prompt_ms": 481.9, "prompt_per_token_ms": 6.258, "prompt_per_second": 159.8, "predicted_n": 385, "predicted_ms": 2982.6, "predicted_per_token_ms": 7.747, "predicted_per_second": 129.1, "draft_n": 344, "draft_n_accepted": 201}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 3.46769, "first_delta": {"offset_s": 0.496052, "kind": "reasoning"}, "first_answer_offset_s": 1.931005, "client_events": [[0.496052, "reasoning"], [0.51405, "reasoning"], [0.51407, "reasoning"], [0.514114, "reasoning"], [0.514163, "reasoning"], [0.532909, "reasoning"], [0.532929, "reasoning"], [0.532974, "reasoning"], [0.53301, "reasoning"], [0.551796, "reasoning"], [0.551815, "reasoning"], [0.551855, "reasoning"], [0.55189, "reasoning"], [0.570744, "reasoning"], 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theta.\nrecord000195: alpha beta gamma delta epsilon zeta eta theta.\nrecord000196: alpha beta gamma delta epsilon zeta eta theta.\nrecord000197: alpha beta gamma delta epsilon zeta eta theta.\nrecord000198: alpha beta gamma delta epsilon zeta eta theta.\nrecord000199: alpha beta gamma delta epsilon zeta eta theta.\nrecord000200: alpha beta gamma delta epsilon zeta eta theta.\nrecord000201: alpha beta gamma delta epsilon zeta eta theta.\nrecord000202: alpha beta gamma delta epsilon zeta eta theta.\nrecord000203: alpha beta gamma delta epsilon zeta eta theta.\nrecord000204: alpha beta gamma delta epsilon zeta eta theta.\nrecord000205: alpha beta gamma delta epsilon zeta eta theta.\nrecord000206: alpha beta gamma delta epsilon zeta eta theta.\nrecord000207: alpha beta gamma delta epsilon zeta eta theta.\nrecord000208: alpha beta gamma delta epsilon zeta eta theta.\nrecord000209: alpha beta gamma delta epsilon zeta eta theta.\nrecord000210: alpha beta gamma delta epsilon zeta eta theta.\nrecord000211: alpha beta gamma delta epsilon zeta eta theta.\nSummarize the structure of these records and explain how to look up a record by its ID."}], "tools": null, "final_answer": "The records are plain text, one record per line, with a simple, uniform structure:\n\n```text\nrecord000001: alpha beta gamma delta epsilon zeta eta theta.\n```\n\nEach line has these parts:\n\n1. **Record ID**\n - Format: `record` followed by a six-digit number.\n - Example IDs: `record000001`, `record000042`, `record0", "reasoning": "We need respond to user: \"[case performance-prompt-4k-r2]\nrecord000001: alpha beta gamma delta epsilon zeta eta theta.\n... record000211: ...\nSummarize the structure of these records and explain how to look up a record by its ID.\"\n\nWe need produce final answer. Need likely concise but with details. User provided many identical records. Need summarize structure and how to look up by ID. No actual lookup requested specific ID? Need explain ID format: record####### six-digit zero-padded, colon, content fields? Each line: \"record000001: alpha beta gamma delta epsilon zeta eta theta.\" Fields: fixed prefix record, zero-padded sequence number, colon, space, eight Greek letter words separated by spaces, period. Same payload for all 1..211? Check records from 1 to 211 all same. Need mention contiguous IDs? records from 000001 to 000211 inclusive. Lookup: parse ID, extract numeric part, convert to integer, retrieve line corresponding to that sequence; IDs are zero-padded to six digits. To look up record000042, match line beginning exactly \"record000042:\" and read payload after colon. Could also calculate if contiguous: payload is constant, but generally index = id number - 1 if 1-based. Need mention case: if ID missing? maybe validate range and padding. Need maybe include example. Ensure not too verbose but enough.\n\nNeed maybe address \"structure of these records\": each record line consists of ID token, separator, body sentence, punctuation? Body is identical: alpha beta gamma delta epsilon zeta eta theta. Need mention no nested structure, plain text line-oriented. IDs monotonically increasing by 1, no gaps, total 211 records.\n\nFinal in English. No markdown? can use bullet list.\n", "tool_calls": [], "finish_reason": "length", "usage": {"prompt_tokens": 4093, "completion_tokens": 512, "total_tokens": 4605, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 4093, "prompt_ms": 2142.4, "prompt_per_token_ms": 0.523, "prompt_per_second": 1910.5, "predicted_n": 512, "predicted_ms": 3984.6, "predicted_per_token_ms": 7.782, "predicted_per_second": 128.5, "draft_n": 385, "draft_n_accepted": 256}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 6.132671, "first_delta": {"offset_s": 2.158835, "kind": "reasoning"}, "first_answer_offset_s": 5.546261, "client_events": [[2.158835, "reasoning"], [2.176721, "reasoning"], [2.176742, "reasoning"], [2.194728, "reasoning"], [2.194749, "reasoning"], [2.194773, "reasoning"], [2.212886, "reasoning"], [2.231606, "reasoning"], [2.231627, "reasoning"], [2.231651, "reasoning"], [2.231694, "reasoning"], [2.250178, "reasoning"], [2.250216, 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+{"request_id": "performance-prompt-16k-r2", "phase": "performance", "case_id": "prompt-16k", "request": {"stream": true, "stream_options": {"include_usage": true}, "max_tokens": 512, "seed": 2, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}}, "messages": [{"role": "user", "content": "[case performance-prompt-16k-r2]\nrecord000001: alpha beta gamma delta epsilon zeta eta theta.\nrecord000002: alpha beta gamma delta epsilon zeta eta theta.\nrecord000003: alpha beta gamma delta epsilon zeta eta theta.\nrecord000004: alpha beta gamma delta epsilon zeta eta theta.\nrecord000005: alpha beta gamma delta epsilon zeta eta theta.\nrecord000006: alpha beta gamma delta epsilon zeta eta theta.\nrecord000007: alpha beta gamma delta epsilon zeta eta theta.\nrecord000008: alpha beta gamma delta epsilon zeta eta theta.\nrecord000009: alpha beta gamma delta epsilon zeta eta theta.\nrecord000010: alpha beta gamma delta epsilon zeta eta theta.\nrecord000011: alpha beta gamma delta epsilon zeta eta theta.\nrecord000012: alpha beta gamma delta epsilon zeta eta theta.\nrecord000013: alpha beta gamma delta epsilon zeta eta theta.\nrecord000014: alpha beta gamma delta epsilon zeta eta theta.\nrecord000015: alpha beta gamma delta epsilon zeta eta theta.\nrecord000016: alpha beta gamma delta epsilon zeta eta theta.\nrecord000017: alpha beta gamma delta epsilon zeta eta theta.\nrecord000018: alpha beta gamma delta epsilon zeta eta theta.\nrecord000019: alpha beta gamma delta epsilon zeta eta theta.\nrecord000020: alpha beta gamma delta epsilon zeta eta theta.\nrecord000021: alpha beta gamma delta epsilon zeta eta theta.\nrecord000022: alpha beta gamma delta epsilon zeta eta theta.\nrecord000023: alpha beta gamma delta epsilon zeta eta theta.\nrecord000024: alpha beta gamma delta epsilon zeta eta theta.\nrecord000025: alpha beta gamma delta epsilon zeta eta theta.\nrecord000026: alpha beta gamma delta epsilon zeta eta theta.\nrecord000027: alpha beta gamma delta epsilon zeta eta theta.\nrecord000028: alpha beta gamma delta epsilon zeta eta theta.\nrecord000029: alpha beta gamma delta epsilon zeta eta theta.\nrecord000030: alpha beta gamma delta epsilon zeta eta theta.\nrecord000031: alpha beta gamma delta epsilon zeta eta theta.\nrecord000032: alpha beta gamma delta epsilon zeta eta theta.\nrecord000033: alpha beta gamma delta epsilon zeta eta theta.\nrecord000034: alpha beta gamma delta epsilon zeta eta theta.\nrecord000035: alpha beta gamma delta epsilon zeta eta theta.\nrecord000036: alpha beta gamma delta epsilon zeta eta theta.\nrecord000037: alpha beta gamma delta epsilon zeta eta theta.\nrecord000038: alpha beta gamma delta epsilon zeta eta theta.\nrecord000039: alpha beta gamma delta epsilon zeta eta theta.\nrecord000040: alpha beta gamma delta epsilon zeta eta 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theta.\nrecord000601: alpha beta gamma delta epsilon zeta eta theta.\nrecord000602: alpha beta gamma delta epsilon zeta eta theta.\nrecord000603: alpha beta gamma delta epsilon zeta eta theta.\nrecord000604: alpha beta gamma delta epsilon zeta eta theta.\nrecord000605: alpha beta gamma delta epsilon zeta eta theta.\nrecord000606: alpha beta gamma delta epsilon zeta eta theta.\nrecord000607: alpha beta gamma delta epsilon zeta eta theta.\nrecord000608: alpha beta gamma delta epsilon zeta eta theta.\nrecord000609: alpha beta gamma delta epsilon zeta eta theta.\nrecord000610: alpha beta gamma delta epsilon zeta eta theta.\nrecord000611: alpha beta gamma delta epsilon zeta eta theta.\nrecord000612: alpha beta gamma delta epsilon zeta eta theta.\nrecord000613: alpha beta gamma delta epsilon zeta eta theta.\nrecord000614: alpha beta gamma delta epsilon zeta eta theta.\nrecord000615: alpha beta gamma delta epsilon zeta eta theta.\nrecord000616: alpha beta gamma delta epsilon zeta eta 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theta.\nrecord000665: alpha beta gamma delta epsilon zeta eta theta.\nrecord000666: alpha beta gamma delta epsilon zeta eta theta.\nrecord000667: alpha beta gamma delta epsilon zeta eta theta.\nrecord000668: alpha beta gamma delta epsilon zeta eta theta.\nrecord000669: alpha beta gamma delta epsilon zeta eta theta.\nrecord000670: alpha beta gamma delta epsilon zeta eta theta.\nrecord000671: alpha beta gamma delta epsilon zeta eta theta.\nrecord000672: alpha beta gamma delta epsilon zeta eta theta.\nrecord000673: alpha beta gamma delta epsilon zeta eta theta.\nrecord000674: alpha beta gamma delta epsilon zeta eta theta.\nrecord000675: alpha beta gamma delta epsilon zeta eta theta.\nrecord000676: alpha beta gamma delta epsilon zeta eta theta.\nrecord000677: alpha beta gamma delta epsilon zeta eta theta.\nrecord000678: alpha beta gamma delta epsilon zeta eta theta.\nrecord000679: alpha beta gamma delta epsilon zeta eta theta.\nrecord000680: alpha beta gamma delta epsilon zeta eta 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theta.\nrecord000697: alpha beta gamma delta epsilon zeta eta theta.\nrecord000698: alpha beta gamma delta epsilon zeta eta theta.\nrecord000699: alpha beta gamma delta epsilon zeta eta theta.\nrecord000700: alpha beta gamma delta epsilon zeta eta theta.\nrecord000701: alpha beta gamma delta epsilon zeta eta theta.\nrecord000702: alpha beta gamma delta epsilon zeta eta theta.\nrecord000703: alpha beta gamma delta epsilon zeta eta theta.\nrecord000704: alpha beta gamma delta epsilon zeta eta theta.\nrecord000705: alpha beta gamma delta epsilon zeta eta theta.\nrecord000706: alpha beta gamma delta epsilon zeta eta theta.\nrecord000707: alpha beta gamma delta epsilon zeta eta theta.\nrecord000708: alpha beta gamma delta epsilon zeta eta theta.\nrecord000709: alpha beta gamma delta epsilon zeta eta theta.\nrecord000710: alpha beta gamma delta epsilon zeta eta theta.\nrecord000711: alpha beta gamma delta epsilon zeta eta theta.\nrecord000712: alpha beta gamma delta epsilon zeta eta theta.\nrecord000713: alpha beta gamma delta epsilon zeta eta theta.\nrecord000714: alpha beta gamma delta epsilon zeta eta theta.\nrecord000715: alpha beta gamma delta epsilon zeta eta theta.\nrecord000716: alpha beta gamma delta epsilon zeta eta theta.\nrecord000717: alpha beta gamma delta epsilon zeta eta theta.\nrecord000718: alpha beta gamma delta epsilon zeta eta theta.\nrecord000719: alpha beta gamma delta epsilon zeta eta theta.\nrecord000720: alpha beta gamma delta epsilon zeta eta theta.\nrecord000721: alpha beta gamma delta epsilon zeta eta theta.\nrecord000722: alpha beta gamma delta epsilon zeta eta theta.\nrecord000723: alpha beta gamma delta epsilon zeta eta theta.\nrecord000724: alpha beta gamma delta epsilon zeta eta theta.\nrecord000725: alpha beta gamma delta epsilon zeta eta theta.\nrecord000726: alpha beta gamma delta epsilon zeta eta theta.\nrecord000727: alpha beta gamma delta epsilon zeta eta theta.\nrecord000728: alpha beta gamma delta epsilon zeta eta 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theta.\nrecord000809: alpha beta gamma delta epsilon zeta eta theta.\nrecord000810: alpha beta gamma delta epsilon zeta eta theta.\nrecord000811: alpha beta gamma delta epsilon zeta eta theta.\nrecord000812: alpha beta gamma delta epsilon zeta eta theta.\nrecord000813: alpha beta gamma delta epsilon zeta eta theta.\nrecord000814: alpha beta gamma delta epsilon zeta eta theta.\nrecord000815: alpha beta gamma delta epsilon zeta eta theta.\nrecord000816: alpha beta gamma delta epsilon zeta eta theta.\nrecord000817: alpha beta gamma delta epsilon zeta eta theta.\nrecord000818: alpha beta gamma delta epsilon zeta eta theta.\nrecord000819: alpha beta gamma delta epsilon zeta eta theta.\nrecord000820: alpha beta gamma delta epsilon zeta eta theta.\nrecord000821: alpha beta gamma delta epsilon zeta eta theta.\nrecord000822: alpha beta gamma delta epsilon zeta eta theta.\nrecord000823: alpha beta gamma delta epsilon zeta eta theta.\nrecord000824: alpha beta gamma delta epsilon zeta eta theta.\nrecord000825: alpha beta gamma delta epsilon zeta eta theta.\nrecord000826: alpha beta gamma delta epsilon zeta eta theta.\nrecord000827: alpha beta gamma delta epsilon zeta eta theta.\nrecord000828: alpha beta gamma delta epsilon zeta eta theta.\nrecord000829: alpha beta gamma delta epsilon zeta eta theta.\nrecord000830: alpha beta gamma delta epsilon zeta eta theta.\nrecord000831: alpha beta gamma delta epsilon zeta eta theta.\nrecord000832: alpha beta gamma delta epsilon zeta eta theta.\nrecord000833: alpha beta gamma delta epsilon zeta eta theta.\nrecord000834: alpha beta gamma delta epsilon zeta eta theta.\nrecord000835: alpha beta gamma delta epsilon zeta eta theta.\nrecord000836: alpha beta gamma delta epsilon zeta eta theta.\nrecord000837: alpha beta gamma delta epsilon zeta eta theta.\nrecord000838: alpha beta gamma delta epsilon zeta eta theta.\nrecord000839: alpha beta gamma delta epsilon zeta eta theta.\nrecord000840: alpha beta gamma delta epsilon zeta eta theta.\nrecord000841: alpha beta gamma delta epsilon zeta eta theta.\nrecord000842: alpha beta gamma delta epsilon zeta eta theta.\nrecord000843: alpha beta gamma delta epsilon zeta eta theta.\nrecord000844: alpha beta gamma delta epsilon zeta eta theta.\nrecord000845: alpha beta gamma delta epsilon zeta eta theta.\nrecord000846: alpha beta gamma delta epsilon zeta eta theta.\nrecord000847: alpha beta gamma delta epsilon zeta eta theta.\nrecord000848: alpha beta gamma delta epsilon zeta eta theta.\nrecord000849: alpha beta gamma delta epsilon zeta eta theta.\nrecord000850: alpha beta gamma delta epsilon zeta eta theta.\nrecord000851: alpha beta gamma delta epsilon zeta eta theta.\nrecord000852: alpha beta gamma delta epsilon zeta eta theta.\nrecord000853: alpha beta gamma delta epsilon zeta eta theta.\nrecord000854: alpha beta gamma delta epsilon zeta eta theta.\nrecord000855: alpha beta gamma delta epsilon zeta eta theta.\nrecord000856: alpha beta gamma delta epsilon zeta eta theta.\nrecord000857: alpha beta gamma delta epsilon zeta eta theta.\nrecord000858: alpha beta gamma delta epsilon zeta eta theta.\nSummarize the structure of these records and explain how to look up a record by its ID."}], "tools": null, "final_answer": "Each record is a single text line with the same structure:\n\n```text\nrecordNNNNNN: alpha beta gamma delta epsilon zeta eta theta.\n```\n\nMore specifically:\n\n- **Record ID**: `recordNNNNNN`\n - Prefix: `record`\n - Followed by a zero-padded six-digit number\n - Examples:\n - `record000001`\n - `record000123`\n - `record000858`\n\n- **Separator**: `: ` \n A colon followed by a space separates the ID from the record body.\n\n- **Body**: `alpha beta gamma delta epsilon zeta eta theta.`\n - In the supplied data, every record has the same body text.\n\n- **Overall pattern**:\n\n```text\nrecordID: payload\n```\n\n", "reasoning": "We need answer user's request. User provided huge repeated records and asks: \"Summarize the structure of these records and explain how to look up a record by its ID.\" Need likely identify each line format: recordNNNNNN: alpha beta gamma delta epsilon zeta eta theta. They want summary and lookup method. Need perhaps mention IDs are zero-padded six-digit sequential numbers from record000001 to record000858, colon-space payload. How lookup by ID: extract ID, locate line beginning with that ID followed by colon, or if sorted sequential calculate line number = integer part after record. Could describe algorithm, binary search if file sorted, grep. Maybe note if missing? In given records all same content? There is a trailing newline after last? Not relevant.\n\nNeed maybe produce concise but thorough. Need final. But let's think if any trick: [case performance-prompt-16k-r2] maybe from benchmark? They ask summarize structure and explain lookup. Could be expecting answer: each record has an identifier record000001 etc, a colon, then a space and a fixed payload of eight Greek letters? alpha beta gamma delta epsilon zeta eta theta. There are 858 records. IDs are zero-padded to 6 digits. To lookup: map ID to line via prefix or use dictionary.\n\nNeed maybe include example: record000123 -> line record000123: ... Payload maybe same across all. 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performance-short-r3]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table finds a value by hashing the key to a bucket/index, then looking up the entry stored there. If two keys hash to the same bucket (a collision), the table resolves it—e.g., chaining puts both values in a list at that bucket, or open addressing checks nearby slots.\n\nExample: \nHash table size 4, `hash(key) = key % 4`. \n- Insert `\"A\"` → bucket 1 \n- Insert `\"B\"` → bucket 2 \n- Insert `\"C\"` → bucket 3 \n- Insert `\"E\"` → also bucket 1 → collision, so bucket 1 stores both `\"A\"` and `\"E\"` in a list. \n\nLookup `\"E\"` hashes to bucket 1, then searches that bucket’s list to find `\"E\"`.", "reasoning": "We need answer user: \"[case performance-short-r3] Explain how a hash table finds a value, including collisions and one small example.\" Need likely concise explanation. Need produce final answer. Ensure address performance-short? Maybe user expects short answer? Could be case performance-short-r3, maybe from benchmark requiring short answer? We need explain hash table finds value, including collisions and small example. Let's craft concise but complete. No need too long. Include hash key -> bucket, probe/search in bucket, collision handling chaining/open addressing, rehash/load factor maybe. Small example keys.\n\nNeed consider \"case performance-short-r3\" might be a prompt code for style: short? It says explain... So answer should be short. 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lines records 000001-000211 all same words alpha beta gamma delta epsilon zeta eta theta. Asked: \"Summarize the structure of these records and explain how to look up a record by its ID.\" Need produce concise answer. Need maybe mention ID format record####### with 6-digit zero-padded sequential numeric IDs, colon separator, payload of 8 lowercase Greek alphabet words? Let's count words: alpha(1), beta2, gamma3, delta4, epsilon5, zeta6, eta7, theta8. Payload fixed 8 tokens separated by single spaces, period at end? Each line: recordID: alpha beta gamma delta epsilon zeta eta theta. There is period after theta. Structure: identifier, colon, content. IDs from 000001 through 000211 inclusive, sequential no gaps? 211 records. All records have identical payload in provided excerpt. How to look up: parse line start before colon as key; IDs zero padded to width 6; to retrieve e.g. record000042 search exact line/record ID. If in file use grep -n '^record000042:' file; or in programming store as dictionary/map ID->payload. Note leading zeros matter: record000042 not 42. For range: zero-pad to 6 digits. If using numeric id: key = f\"record{integer:06d}\". For given max 000211; 6 digits enough. Need maybe explain lookup: if sorted by ID and contiguous, can compute line number? Since file has header? Provided has no header? Actually first line is [case performance-prompt-4k-r3]? Wait user included [case performance-prompt-4k-r3] then record lines. That first line is metadata? It says [case performance-prompt-4k-r3]\nrecord000001... So if including first line, records start line 2. For lookup by ID if sorted, line_number = ID + 1? record000001 at line 2, so line = ID+1 if metadata present. But if only records no header, line = ID. Need not overcomplicate. User asks summarize structure and explain how to look up record by ID. Mention exact string key. 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theta.\nrecord000546: alpha beta gamma delta epsilon zeta eta theta.\nrecord000547: alpha beta gamma delta epsilon zeta eta theta.\nrecord000548: alpha beta gamma delta epsilon zeta eta theta.\nrecord000549: alpha beta gamma delta epsilon zeta eta theta.\nrecord000550: alpha beta gamma delta epsilon zeta eta theta.\nrecord000551: alpha beta gamma delta epsilon zeta eta theta.\nrecord000552: alpha beta gamma delta epsilon zeta eta theta.\nrecord000553: alpha beta gamma delta epsilon zeta eta theta.\nrecord000554: alpha beta gamma delta epsilon zeta eta theta.\nrecord000555: alpha beta gamma delta epsilon zeta eta theta.\nrecord000556: alpha beta gamma delta epsilon zeta eta theta.\nrecord000557: alpha beta gamma delta epsilon zeta eta theta.\nrecord000558: alpha beta gamma delta epsilon zeta eta theta.\nrecord000559: alpha beta gamma delta epsilon zeta eta theta.\nrecord000560: alpha beta gamma delta epsilon zeta eta theta.\nrecord000561: alpha beta gamma delta epsilon zeta eta theta.\nrecord000562: alpha beta gamma delta epsilon zeta eta theta.\nrecord000563: alpha beta gamma delta epsilon zeta eta theta.\nrecord000564: alpha beta gamma delta epsilon zeta eta theta.\nrecord000565: alpha beta gamma delta epsilon zeta eta theta.\nrecord000566: alpha beta gamma delta epsilon zeta eta theta.\nrecord000567: alpha beta gamma delta epsilon zeta eta theta.\nrecord000568: alpha beta gamma delta epsilon zeta eta theta.\nrecord000569: alpha beta gamma delta epsilon zeta eta theta.\nrecord000570: alpha beta gamma delta epsilon zeta eta theta.\nrecord000571: alpha beta gamma delta epsilon zeta eta theta.\nrecord000572: alpha beta gamma delta epsilon zeta eta theta.\nrecord000573: alpha beta gamma delta epsilon zeta eta theta.\nrecord000574: alpha beta gamma delta epsilon zeta eta theta.\nrecord000575: alpha beta gamma delta epsilon zeta eta theta.\nrecord000576: alpha beta gamma delta epsilon zeta eta theta.\nrecord000577: alpha beta gamma delta epsilon zeta eta theta.\nrecord000578: alpha beta gamma delta epsilon zeta eta theta.\nrecord000579: alpha beta gamma delta epsilon zeta eta theta.\nrecord000580: alpha beta gamma delta epsilon zeta eta theta.\nrecord000581: alpha beta gamma delta epsilon zeta eta theta.\nrecord000582: alpha beta gamma delta epsilon zeta eta theta.\nrecord000583: alpha beta gamma delta epsilon zeta eta theta.\nrecord000584: alpha beta gamma delta epsilon zeta eta theta.\nrecord000585: alpha beta gamma delta epsilon zeta eta theta.\nrecord000586: alpha beta gamma delta epsilon zeta eta theta.\nrecord000587: alpha beta gamma delta epsilon zeta eta theta.\nrecord000588: alpha beta gamma delta epsilon zeta eta theta.\nrecord000589: alpha beta gamma delta epsilon zeta eta theta.\nrecord000590: alpha beta gamma delta epsilon zeta eta theta.\nrecord000591: alpha beta gamma delta epsilon zeta eta theta.\nrecord000592: alpha beta gamma delta epsilon zeta eta theta.\nrecord000593: alpha beta gamma delta epsilon zeta eta theta.\nrecord000594: alpha beta gamma delta epsilon zeta eta theta.\nrecord000595: alpha beta gamma delta epsilon zeta eta theta.\nrecord000596: alpha beta gamma delta epsilon zeta eta theta.\nrecord000597: alpha beta gamma delta epsilon zeta eta theta.\nrecord000598: alpha beta gamma delta epsilon zeta eta theta.\nrecord000599: alpha beta gamma delta epsilon zeta eta theta.\nrecord000600: alpha beta gamma delta epsilon zeta eta theta.\nrecord000601: alpha beta gamma delta epsilon zeta eta theta.\nrecord000602: alpha beta gamma delta epsilon zeta eta theta.\nrecord000603: alpha beta gamma delta epsilon zeta eta theta.\nrecord000604: alpha beta gamma delta epsilon zeta eta theta.\nrecord000605: alpha beta gamma delta epsilon zeta eta theta.\nrecord000606: alpha beta gamma delta epsilon zeta eta theta.\nrecord000607: alpha beta gamma delta epsilon zeta eta theta.\nrecord000608: alpha beta gamma delta epsilon zeta eta theta.\nrecord000609: alpha beta gamma delta epsilon zeta eta theta.\nrecord000610: alpha beta gamma delta epsilon zeta eta theta.\nrecord000611: alpha beta gamma delta epsilon zeta eta theta.\nrecord000612: alpha beta gamma delta epsilon zeta eta theta.\nrecord000613: alpha beta gamma delta epsilon zeta eta theta.\nrecord000614: alpha beta gamma delta epsilon zeta eta theta.\nrecord000615: alpha beta gamma delta epsilon zeta eta theta.\nrecord000616: alpha beta gamma delta epsilon zeta eta theta.\nrecord000617: alpha beta gamma delta epsilon zeta eta theta.\nrecord000618: alpha beta gamma delta epsilon zeta eta theta.\nrecord000619: alpha beta gamma delta epsilon zeta eta theta.\nrecord000620: alpha beta gamma delta epsilon zeta eta theta.\nrecord000621: alpha beta gamma delta epsilon zeta eta theta.\nrecord000622: alpha beta gamma delta epsilon zeta eta theta.\nrecord000623: alpha beta gamma delta epsilon zeta eta theta.\nrecord000624: alpha beta gamma delta epsilon zeta eta theta.\nrecord000625: alpha beta gamma delta epsilon zeta eta theta.\nrecord000626: alpha beta gamma delta epsilon zeta eta theta.\nrecord000627: alpha beta gamma delta epsilon zeta eta theta.\nrecord000628: alpha beta gamma delta epsilon zeta eta theta.\nrecord000629: alpha beta gamma delta epsilon zeta eta theta.\nrecord000630: alpha beta gamma delta epsilon zeta eta theta.\nrecord000631: alpha beta gamma delta epsilon zeta eta theta.\nrecord000632: alpha beta gamma delta epsilon zeta eta theta.\nrecord000633: alpha beta gamma delta epsilon zeta eta theta.\nrecord000634: alpha beta gamma delta epsilon zeta eta theta.\nrecord000635: alpha beta gamma delta epsilon zeta eta theta.\nrecord000636: alpha beta gamma delta epsilon zeta eta theta.\nrecord000637: alpha beta gamma delta epsilon zeta eta theta.\nrecord000638: alpha beta gamma delta epsilon zeta eta theta.\nrecord000639: alpha beta gamma delta epsilon zeta eta theta.\nrecord000640: alpha beta gamma delta epsilon zeta eta theta.\nrecord000641: alpha beta gamma delta epsilon zeta eta theta.\nrecord000642: alpha beta gamma delta epsilon zeta eta theta.\nrecord000643: alpha beta gamma delta epsilon zeta eta theta.\nrecord000644: alpha beta gamma delta epsilon zeta eta theta.\nrecord000645: alpha beta gamma delta epsilon zeta eta theta.\nrecord000646: alpha beta gamma delta epsilon zeta eta theta.\nrecord000647: alpha beta gamma delta epsilon zeta eta theta.\nrecord000648: alpha beta gamma delta epsilon zeta eta theta.\nrecord000649: alpha beta gamma delta epsilon zeta eta theta.\nrecord000650: alpha beta gamma delta epsilon zeta eta theta.\nrecord000651: alpha beta gamma delta epsilon zeta eta theta.\nrecord000652: alpha beta gamma delta epsilon zeta eta theta.\nrecord000653: alpha beta gamma delta epsilon zeta eta theta.\nrecord000654: alpha beta gamma delta epsilon zeta eta theta.\nrecord000655: alpha beta gamma delta epsilon zeta eta theta.\nrecord000656: alpha beta gamma delta epsilon zeta eta theta.\nrecord000657: alpha beta gamma delta epsilon zeta eta theta.\nrecord000658: alpha beta gamma delta epsilon zeta eta theta.\nrecord000659: alpha beta gamma delta epsilon zeta eta theta.\nrecord000660: alpha beta gamma delta epsilon zeta eta theta.\nrecord000661: alpha beta gamma delta epsilon zeta eta theta.\nrecord000662: alpha beta gamma delta epsilon zeta eta theta.\nrecord000663: alpha beta gamma delta epsilon zeta eta theta.\nrecord000664: alpha beta gamma delta epsilon zeta eta theta.\nrecord000665: alpha beta gamma delta epsilon zeta eta theta.\nrecord000666: alpha beta gamma delta epsilon zeta eta theta.\nrecord000667: alpha beta gamma delta epsilon zeta eta theta.\nrecord000668: alpha beta gamma delta epsilon zeta eta theta.\nrecord000669: alpha beta gamma delta epsilon zeta eta theta.\nrecord000670: alpha beta gamma delta epsilon zeta eta theta.\nrecord000671: alpha beta gamma delta epsilon zeta eta theta.\nrecord000672: alpha beta gamma delta epsilon zeta eta theta.\nrecord000673: alpha beta gamma delta epsilon zeta eta theta.\nrecord000674: alpha beta gamma delta epsilon zeta eta theta.\nrecord000675: alpha beta gamma delta epsilon zeta eta theta.\nrecord000676: alpha beta gamma delta epsilon zeta eta theta.\nrecord000677: alpha beta gamma delta epsilon zeta eta theta.\nrecord000678: alpha beta gamma delta epsilon zeta eta theta.\nrecord000679: alpha beta gamma delta epsilon zeta eta theta.\nrecord000680: alpha beta gamma delta epsilon zeta eta theta.\nrecord000681: alpha beta gamma delta epsilon zeta eta theta.\nrecord000682: alpha beta gamma delta epsilon zeta eta theta.\nrecord000683: alpha beta gamma delta epsilon zeta eta theta.\nrecord000684: alpha beta gamma delta epsilon zeta eta theta.\nrecord000685: alpha beta gamma delta epsilon zeta eta theta.\nrecord000686: alpha beta gamma delta epsilon zeta eta theta.\nrecord000687: alpha beta gamma delta epsilon zeta eta theta.\nrecord000688: alpha beta gamma delta epsilon zeta eta theta.\nrecord000689: alpha beta gamma delta epsilon zeta eta theta.\nrecord000690: alpha beta gamma delta epsilon zeta eta theta.\nrecord000691: alpha beta gamma delta epsilon zeta eta theta.\nrecord000692: alpha beta gamma delta epsilon zeta eta theta.\nrecord000693: alpha beta gamma delta epsilon zeta eta theta.\nrecord000694: alpha beta gamma delta epsilon zeta eta theta.\nrecord000695: alpha beta gamma delta epsilon zeta eta theta.\nrecord000696: alpha beta gamma delta epsilon zeta eta theta.\nrecord000697: alpha beta gamma delta epsilon zeta eta theta.\nrecord000698: alpha beta gamma delta epsilon zeta eta theta.\nrecord000699: alpha beta gamma delta epsilon zeta eta theta.\nrecord000700: alpha beta gamma delta epsilon zeta eta theta.\nrecord000701: alpha beta gamma delta epsilon zeta eta theta.\nrecord000702: alpha beta gamma delta epsilon zeta eta theta.\nrecord000703: alpha beta gamma delta epsilon zeta eta theta.\nrecord000704: alpha beta gamma delta epsilon zeta eta theta.\nrecord000705: alpha beta gamma delta epsilon zeta eta theta.\nrecord000706: alpha beta gamma delta epsilon zeta eta theta.\nrecord000707: alpha beta gamma delta epsilon zeta eta theta.\nrecord000708: alpha beta gamma delta epsilon zeta eta theta.\nrecord000709: alpha beta gamma delta epsilon zeta eta theta.\nrecord000710: alpha beta gamma delta epsilon zeta eta theta.\nrecord000711: alpha beta gamma delta epsilon zeta eta theta.\nrecord000712: alpha beta gamma delta epsilon zeta eta theta.\nrecord000713: alpha beta gamma delta epsilon zeta eta theta.\nrecord000714: alpha beta gamma delta epsilon zeta eta theta.\nrecord000715: alpha beta gamma delta epsilon zeta eta theta.\nrecord000716: alpha beta gamma delta epsilon zeta eta theta.\nrecord000717: alpha beta gamma delta epsilon zeta eta theta.\nrecord000718: alpha beta gamma delta epsilon zeta eta theta.\nrecord000719: alpha beta gamma delta epsilon zeta eta theta.\nrecord000720: alpha beta gamma delta epsilon zeta eta theta.\nrecord000721: alpha beta gamma delta epsilon zeta eta theta.\nrecord000722: alpha beta gamma delta epsilon zeta eta theta.\nrecord000723: alpha beta gamma delta epsilon zeta eta theta.\nrecord000724: alpha beta gamma delta epsilon zeta eta theta.\nrecord000725: alpha beta gamma delta epsilon zeta eta theta.\nrecord000726: alpha beta gamma delta epsilon zeta eta theta.\nrecord000727: alpha beta gamma delta epsilon zeta eta theta.\nrecord000728: alpha beta gamma delta epsilon zeta eta theta.\nrecord000729: alpha beta gamma delta epsilon zeta eta theta.\nrecord000730: alpha beta gamma delta epsilon zeta eta theta.\nrecord000731: alpha beta gamma delta epsilon zeta eta theta.\nrecord000732: alpha beta gamma delta epsilon zeta eta theta.\nrecord000733: alpha beta gamma delta epsilon zeta eta theta.\nrecord000734: alpha beta gamma delta epsilon zeta eta theta.\nrecord000735: alpha beta gamma delta epsilon zeta eta theta.\nrecord000736: alpha beta gamma delta epsilon zeta eta theta.\nrecord000737: alpha beta gamma delta epsilon zeta eta theta.\nrecord000738: alpha beta gamma delta epsilon zeta eta theta.\nrecord000739: alpha beta gamma delta epsilon zeta eta theta.\nrecord000740: alpha beta gamma delta epsilon zeta eta theta.\nrecord000741: alpha beta gamma delta epsilon zeta eta theta.\nrecord000742: alpha beta gamma delta epsilon zeta eta theta.\nrecord000743: alpha beta gamma delta epsilon zeta eta theta.\nrecord000744: alpha beta gamma delta epsilon zeta eta theta.\nrecord000745: alpha beta gamma delta epsilon zeta eta theta.\nrecord000746: alpha beta gamma delta epsilon zeta eta theta.\nrecord000747: alpha beta gamma delta epsilon zeta eta theta.\nrecord000748: alpha beta gamma delta epsilon zeta eta theta.\nrecord000749: alpha beta gamma delta epsilon zeta eta theta.\nrecord000750: alpha beta gamma delta epsilon zeta eta theta.\nrecord000751: alpha beta gamma delta epsilon zeta eta theta.\nrecord000752: alpha beta gamma delta epsilon zeta eta theta.\nrecord000753: alpha beta gamma delta epsilon zeta eta theta.\nrecord000754: alpha beta gamma delta epsilon zeta eta theta.\nrecord000755: alpha beta gamma delta epsilon zeta eta theta.\nrecord000756: alpha beta gamma delta epsilon zeta eta theta.\nrecord000757: alpha beta gamma delta epsilon zeta eta theta.\nrecord000758: alpha beta gamma delta epsilon zeta eta theta.\nrecord000759: alpha beta gamma delta epsilon zeta eta theta.\nrecord000760: alpha beta gamma delta epsilon zeta eta theta.\nrecord000761: alpha beta gamma delta epsilon zeta eta theta.\nrecord000762: alpha beta gamma delta epsilon zeta eta theta.\nrecord000763: alpha beta gamma delta epsilon zeta eta theta.\nrecord000764: alpha beta gamma delta epsilon zeta eta theta.\nrecord000765: alpha beta gamma delta epsilon zeta eta theta.\nrecord000766: alpha beta gamma delta epsilon zeta eta theta.\nrecord000767: alpha beta gamma delta epsilon zeta eta theta.\nrecord000768: alpha beta gamma delta epsilon zeta eta theta.\nrecord000769: alpha beta gamma delta epsilon zeta eta theta.\nrecord000770: alpha beta gamma delta epsilon zeta eta theta.\nrecord000771: alpha beta gamma delta epsilon zeta eta theta.\nrecord000772: alpha beta gamma delta epsilon zeta eta theta.\nrecord000773: alpha beta gamma delta epsilon zeta eta theta.\nrecord000774: alpha beta gamma delta epsilon zeta eta theta.\nrecord000775: alpha beta gamma delta epsilon zeta eta theta.\nrecord000776: alpha beta gamma delta epsilon zeta eta theta.\nrecord000777: alpha beta gamma delta epsilon zeta eta theta.\nrecord000778: alpha beta gamma delta epsilon zeta eta theta.\nrecord000779: alpha beta gamma delta epsilon zeta eta theta.\nrecord000780: alpha beta gamma delta epsilon zeta eta theta.\nrecord000781: alpha beta gamma delta epsilon zeta eta theta.\nrecord000782: alpha beta gamma delta epsilon zeta eta theta.\nrecord000783: alpha beta gamma delta epsilon zeta eta theta.\nrecord000784: alpha beta gamma delta epsilon zeta eta theta.\nrecord000785: alpha beta gamma delta epsilon zeta eta theta.\nrecord000786: alpha beta gamma delta epsilon zeta eta theta.\nrecord000787: alpha beta gamma delta epsilon zeta eta theta.\nrecord000788: alpha beta gamma delta epsilon zeta eta theta.\nrecord000789: alpha beta gamma delta epsilon zeta eta theta.\nrecord000790: alpha beta gamma delta epsilon zeta eta theta.\nrecord000791: alpha beta gamma delta epsilon zeta eta theta.\nrecord000792: alpha beta gamma delta epsilon zeta eta theta.\nrecord000793: alpha beta gamma delta epsilon zeta eta theta.\nrecord000794: alpha beta gamma delta epsilon zeta eta theta.\nrecord000795: alpha beta gamma delta epsilon zeta eta theta.\nrecord000796: alpha beta gamma delta epsilon zeta eta theta.\nrecord000797: alpha beta gamma delta epsilon zeta eta theta.\nrecord000798: alpha beta gamma delta epsilon zeta eta theta.\nrecord000799: alpha beta gamma delta epsilon zeta eta theta.\nrecord000800: alpha beta gamma delta epsilon zeta eta theta.\nrecord000801: alpha beta gamma delta epsilon zeta eta theta.\nrecord000802: alpha beta gamma delta epsilon zeta eta theta.\nrecord000803: alpha beta gamma delta epsilon zeta eta theta.\nrecord000804: alpha beta gamma delta epsilon zeta eta theta.\nrecord000805: alpha beta gamma delta epsilon zeta eta theta.\nrecord000806: alpha beta gamma delta epsilon zeta eta theta.\nrecord000807: alpha beta gamma delta epsilon zeta eta theta.\nrecord000808: alpha beta gamma delta epsilon zeta eta theta.\nrecord000809: alpha beta gamma delta epsilon zeta eta theta.\nrecord000810: alpha beta gamma delta epsilon zeta eta theta.\nrecord000811: alpha beta gamma delta epsilon zeta eta theta.\nrecord000812: alpha beta gamma delta epsilon zeta eta theta.\nrecord000813: alpha beta gamma delta epsilon zeta eta theta.\nrecord000814: alpha beta gamma delta epsilon zeta eta theta.\nrecord000815: alpha beta gamma delta epsilon zeta eta theta.\nrecord000816: alpha beta gamma delta epsilon zeta eta theta.\nrecord000817: alpha beta gamma delta epsilon zeta eta theta.\nrecord000818: alpha beta gamma delta epsilon zeta eta theta.\nrecord000819: alpha beta gamma delta epsilon zeta eta theta.\nrecord000820: alpha beta gamma delta epsilon zeta eta theta.\nrecord000821: alpha beta gamma delta epsilon zeta eta theta.\nrecord000822: alpha beta gamma delta epsilon zeta eta theta.\nrecord000823: alpha beta gamma delta epsilon zeta eta theta.\nrecord000824: alpha beta gamma delta epsilon zeta eta theta.\nrecord000825: alpha beta gamma delta epsilon zeta eta theta.\nrecord000826: alpha beta gamma delta epsilon zeta eta theta.\nrecord000827: alpha beta gamma delta epsilon zeta eta theta.\nrecord000828: alpha beta gamma delta epsilon zeta eta theta.\nrecord000829: alpha beta gamma delta epsilon zeta eta theta.\nrecord000830: alpha beta gamma delta epsilon zeta eta theta.\nrecord000831: alpha beta gamma delta epsilon zeta eta theta.\nrecord000832: alpha beta gamma delta epsilon zeta eta theta.\nrecord000833: alpha beta gamma delta epsilon zeta eta theta.\nrecord000834: alpha beta gamma delta epsilon zeta eta theta.\nrecord000835: alpha beta gamma delta epsilon zeta eta theta.\nrecord000836: alpha beta gamma delta epsilon zeta eta theta.\nrecord000837: alpha beta gamma delta epsilon zeta eta theta.\nrecord000838: alpha beta gamma delta epsilon zeta eta theta.\nrecord000839: alpha beta gamma delta epsilon zeta eta theta.\nrecord000840: alpha beta gamma delta epsilon zeta eta theta.\nrecord000841: alpha beta gamma delta epsilon zeta eta theta.\nrecord000842: alpha beta gamma delta epsilon zeta eta theta.\nrecord000843: alpha beta gamma delta epsilon zeta eta theta.\nrecord000844: alpha beta gamma delta epsilon zeta eta theta.\nrecord000845: alpha beta gamma delta epsilon zeta eta theta.\nrecord000846: alpha beta gamma delta epsilon zeta eta theta.\nrecord000847: alpha beta gamma delta epsilon zeta eta theta.\nrecord000848: alpha beta gamma delta epsilon zeta eta theta.\nrecord000849: alpha beta gamma delta epsilon zeta eta theta.\nrecord000850: alpha beta gamma delta epsilon zeta eta theta.\nrecord000851: alpha beta gamma delta epsilon zeta eta theta.\nrecord000852: alpha beta gamma delta epsilon zeta eta theta.\nrecord000853: alpha beta gamma delta epsilon zeta eta theta.\nrecord000854: alpha beta gamma delta epsilon zeta eta theta.\nrecord000855: alpha beta gamma delta epsilon zeta eta theta.\nrecord000856: alpha beta gamma delta epsilon zeta eta theta.\nrecord000857: alpha beta gamma delta epsilon zeta eta theta.\nrecord000858: alpha beta gamma delta epsilon zeta eta theta.\nSummarize the structure of these records and explain how to look up a record by its ID."}], "tools": null, "final_answer": "Each record has the same simple structure:\n\n```text\nrecordNNNNNN: alpha beta gamma delta epsilon zeta eta theta.\n```\n\nBreakdown:\n\n- `recordNNNNNN` — the record ID\n - Prefix: `record`\n - Numeric ID: zero-padded to 6 digits\n - Example: `record000001`, `record000100`, `record000858`\n- `:` — separator between the ID and the record contents\n- `alpha beta gamma delta epsilon zeta eta theta.` — the record payload\n - Fixed list of 8 tokens:\n 1. `alpha`\n 2. `beta`\n 3. `gamma`\n 4. `delta`\n 5. `epsilon`\n 6. `zeta`\n 7. `eta`\n 8. `theta`\n - Ends with a period.\n\nAll records from `record000001` through `record000858` have identical payload text.\n\nTo look up a record by ID:\n\n1. Know the numeric ID you want, for example `42`.\n2. Format it with 6 zero-padded digits:\n\n ```text\n record000042\n ```\n\n3. Search for a line", "reasoning": "We need respond to user: \"[case performance-prompt-16k-r3] ... Summarize the structure of these records and explain how to look up a record by its ID.\"\n\nWe have huge input with records 000001 to 000858, each identical: \"recordNNNNNN: alpha beta gamma delta epsilon zeta eta theta.\" Need summarize structure and explain how to look up by ID. Need maybe mention ID zero-padded six digits, colon separator, payload fixed sequence of 8 Greek-letter tokens, trailing period. Lookup by exact ID string or numeric after parsing. Could mention efficient indexing: map ID -> record; binary search if sorted; regex or split on \": \". Could include formula: ID n formatted as record%06d, line = prefix + \": \" + payload. Also all records have same payload, so any lookup returns same payload except ID.\n\nNeed be concise but thorough. No need process all. Ensure final answer. Final only answer.\n", "tool_calls": [], "finish_reason": "length", "usage": {"prompt_tokens": 16387, "completion_tokens": 512, "total_tokens": 16899, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 16387, "prompt_ms": 5023.3, "prompt_per_token_ms": 0.307, "prompt_per_second": 3262.2, "predicted_n": 512, "predicted_ms": 3571.9, "predicted_per_token_ms": 6.976, "predicted_per_second": 143.3, "draft_n": 419, "draft_n_accepted": 303}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 8.609013, "first_delta": {"offset_s": 5.048033, "kind": "reasoning"}, "first_answer_offset_s": 6.750602, "client_events": [[5.048033, "reasoning"], [5.066602, "reasoning"], [5.066623, "reasoning"], [5.084975, "reasoning"], [5.084996, "reasoning"], [5.08501, "reasoning"], [5.099589, "reasoning"], [5.118147, "reasoning"], [5.118169, "reasoning"], [5.136862, "reasoning"], [5.136883, "reasoning"], [5.136896, "reasoning"], [5.136928, "reasoning"], 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Ensure final only JSON.\n", "tool_calls": [], "finish_reason": "stop", "usage": {"prompt_tokens": 85, "completion_tokens": 81, "total_tokens": 166, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 85, "prompt_ms": 276.7, "prompt_per_token_ms": 3.255, "prompt_per_second": 307.2, "predicted_n": 81, "predicted_ms": 432.6, "predicted_per_token_ms": 5.341, "predicted_per_second": 187.2, "draft_n": 69, "draft_n_accepted": 57}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 0.712812, "first_delta": {"offset_s": 0.290969, "kind": "reasoning"}, "first_answer_offset_s": 0.639016, "client_events": [[0.290969, "reasoning"], [0.308689, "reasoning"], [0.308702, "reasoning"], [0.326361, "reasoning"], [0.326375, "reasoning"], [0.32639, "reasoning"], [0.326401, "reasoning"], [0.344687, "reasoning"], [0.363031, "reasoning"], [0.363051, "reasoning"], [0.363091, "reasoning"], [0.363129, "reasoning"], [0.382164, "reasoning"], [0.382178, "reasoning"], [0.382187, "reasoning"], [0.382206, "reasoning"], [0.40138, "reasoning"], [0.401406, "reasoning"], [0.401414, "reasoning"], [0.401421, "reasoning"], [0.41998, "reasoning"], [0.420005, "reasoning"], [0.420014, "reasoning"], [0.420021, "reasoning"], [0.438406, "reasoning"], [0.438432, "reasoning"], [0.43844, "reasoning"], [0.438447, "reasoning"], [0.456367, "reasoning"], [0.456392, "reasoning"], [0.4564, "reasoning"], [0.456407, "reasoning"], [0.474718, "reasoning"], [0.474744, "reasoning"], [0.474759, "reasoning"], [0.474767, "reasoning"], [0.493043, "reasoning"], [0.493089, "reasoning"], [0.493098, "reasoning"], [0.493106, "reasoning"], [0.511395, "reasoning"], [0.511421, "reasoning"], [0.511429, "reasoning"], [0.511436, "reasoning"], [0.529279, "reasoning"], [0.529305, "reasoning"], [0.529314, "reasoning"], [0.547789, "reasoning"], [0.547816, "reasoning"], [0.547825, "reasoning"], [0.56622, "reasoning"], [0.566258, "reasoning"], [0.566268, "reasoning"], [0.566276, "reasoning"], [0.584963, "reasoning"], [0.584989, "reasoning"], [0.584998, "reasoning"], [0.585005, "reasoning"], [0.603269, "reasoning"], [0.603294, "reasoning"], [0.62131, "reasoning"], [0.62134, "reasoning"], [0.621358, "reasoning"], [0.621399, "reasoning"], [0.639016, "answer"], [0.657558, "answer"], [0.657584, "answer"], [0.67591, "answer"], [0.675935, "answer"], [0.675944, "answer"], [0.675952, "answer"], [0.694319, "answer"], [0.694345, "answer"], [0.694354, "answer"], [0.694362, "answer"], [0.71276, "answer"], [0.712773, "answer"], [0.712783, "answer"]]} +{"request_id": "sanity-I4", "phase": "sanity", "case_id": "I4", "request": {"stream": true, "stream_options": {"include_usage": true}, "max_tokens": 2048, "seed": 1, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}}, "messages": [{"role": "user", "content": "[case sanity-I4]\nReply with exactly the word READY in uppercase and nothing else."}], "tools": null, "final_answer": "READY", "reasoning": "We need to respond to user: \"[case sanity-I4]\nReply with exactly the word READY in uppercase and nothing else.\" Need final only READY. Ensure no extra. Done.\n", "tool_calls": [], "finish_reason": "stop", "usage": {"prompt_tokens": 71, "completion_tokens": 42, "total_tokens": 113, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 71, "prompt_ms": 254.6, "prompt_per_token_ms": 3.586, "prompt_per_second": 278.9, "predicted_n": 42, "predicted_ms": 250.1, "predicted_per_token_ms": 5.955, "predicted_per_second": 167.9, "draft_n": 35, "draft_n_accepted": 29}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 0.507955, "first_delta": {"offset_s": 0.268382, "kind": "reasoning"}, "first_answer_offset_s": 0.507723, "client_events": [[0.268382, "reasoning"], [0.282093, "reasoning"], [0.282106, "reasoning"], [0.300049, "reasoning"], [0.300063, "reasoning"], [0.300072, "reasoning"], [0.300081, "reasoning"], [0.317925, "reasoning"], [0.336214, "reasoning"], [0.336254, "reasoning"], [0.336289, "reasoning"], [0.336327, "reasoning"], [0.355338, "reasoning"], [0.355364, "reasoning"], [0.355391, "reasoning"], [0.355425, "reasoning"], [0.373575, "reasoning"], [0.373601, "reasoning"], [0.37363, "reasoning"], [0.37367, "reasoning"], [0.391604, "reasoning"], [0.391629, "reasoning"], [0.391658, "reasoning"], [0.391695, "reasoning"], [0.409614, "reasoning"], [0.409639, "reasoning"], [0.409656, "reasoning"], [0.409689, "reasoning"], [0.423399, "reasoning"], [0.434563, "reasoning"], [0.453058, "reasoning"], [0.453084, "reasoning"], [0.453102, "reasoning"], [0.453141, "reasoning"], [0.47151, "reasoning"], [0.471535, "reasoning"], [0.489307, "reasoning"], [0.489332, "reasoning"], [0.507723, "answer"]]} +{"request_id": "sanity-R1", "phase": "sanity", "case_id": "R1", "request": {"stream": true, "stream_options": {"include_usage": true}, "max_tokens": 2048, "seed": 1, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}}, "messages": [{"role": "user", "content": "[case sanity-R1]\nrecord000001: alpha beta gamma delta epsilon zeta eta theta.\nrecord000002: alpha beta gamma delta epsilon zeta eta theta.\nrecord000003: alpha beta gamma delta epsilon zeta eta theta.\nrecord000004: alpha beta gamma delta epsilon zeta eta theta.\nrecord000005: alpha beta gamma delta epsilon zeta eta theta.\nrecord000006: alpha beta gamma delta epsilon zeta eta theta.\nrecord000007: alpha beta gamma delta epsilon zeta eta theta.\nrecord000008: alpha beta gamma delta epsilon zeta eta theta.\nrecord000009: alpha beta gamma delta epsilon zeta eta theta.\nrecord000010: alpha beta gamma delta epsilon zeta eta theta.\nrecord000011: alpha beta gamma delta epsilon zeta eta theta.\nrecord000012: alpha beta gamma delta epsilon zeta eta theta.\nrecord000013: alpha beta gamma delta epsilon zeta eta theta.\nrecord000014: alpha beta gamma delta epsilon zeta eta theta.\nrecord000015: alpha beta gamma delta epsilon zeta eta theta.\nrecord000016: alpha beta gamma delta epsilon zeta eta theta.\nrecord000017: alpha beta gamma delta epsilon zeta eta theta.\nrecord000018: alpha beta gamma delta epsilon zeta eta theta.\nrecord000019: alpha beta gamma delta epsilon zeta eta theta.\nrecord000020: alpha beta gamma delta epsilon zeta eta theta.\nrecord000021: alpha beta gamma delta epsilon zeta eta theta.\naccess_code = ORBIT-731\nrecord000022: alpha beta gamma delta epsilon zeta eta theta.\nrecord000023: alpha beta gamma delta epsilon zeta eta theta.\nrecord000024: alpha beta gamma delta epsilon zeta eta theta.\nrecord000025: alpha beta gamma delta epsilon zeta eta theta.\nrecord000026: alpha beta gamma delta epsilon zeta eta theta.\nrecord000027: alpha beta gamma delta epsilon zeta eta theta.\nrecord000028: alpha beta gamma delta epsilon zeta eta theta.\nrecord000029: alpha beta gamma delta epsilon zeta eta theta.\nrecord000030: alpha beta gamma delta epsilon zeta eta theta.\nrecord000031: alpha beta gamma delta epsilon zeta eta theta.\nrecord000032: alpha beta gamma delta epsilon zeta eta theta.\nrecord000033: alpha beta gamma delta epsilon zeta eta theta.\nrecord000034: alpha beta gamma delta epsilon zeta eta theta.\nrecord000035: alpha beta gamma delta epsilon zeta eta theta.\nrecord000036: alpha beta gamma delta epsilon zeta eta theta.\nrecord000037: alpha beta gamma delta epsilon zeta eta theta.\nrecord000038: alpha beta gamma delta epsilon zeta eta theta.\nrecord000039: alpha beta gamma delta epsilon zeta eta theta.\nrecord000040: alpha beta gamma delta epsilon zeta eta theta.\nrecord000041: alpha beta gamma delta epsilon zeta eta theta.\nrecord000042: alpha beta gamma delta epsilon zeta eta theta.\nrecord000043: alpha beta gamma delta epsilon zeta eta theta.\nrecord000044: alpha beta gamma delta epsilon zeta eta theta.\nrecord000045: alpha beta gamma delta epsilon zeta eta theta.\nrecord000046: alpha beta gamma delta epsilon zeta eta theta.\nrecord000047: alpha beta gamma delta epsilon zeta eta theta.\nrecord000048: alpha beta gamma delta epsilon zeta eta theta.\nrecord000049: alpha beta gamma delta epsilon zeta eta theta.\nrecord000050: alpha beta gamma delta epsilon zeta eta theta.\nrecord000051: alpha beta gamma delta epsilon zeta eta theta.\nrecord000052: alpha beta gamma delta epsilon zeta eta theta.\nrecord000053: alpha beta gamma delta epsilon zeta eta theta.\nrecord000054: alpha beta gamma delta epsilon zeta eta theta.\nrecord000055: alpha beta gamma delta epsilon zeta eta theta.\nrecord000056: alpha beta gamma delta epsilon zeta eta theta.\nrecord000057: alpha beta gamma delta epsilon zeta eta theta.\nrecord000058: alpha beta gamma delta epsilon zeta eta theta.\nrecord000059: alpha beta gamma delta epsilon zeta eta theta.\nrecord000060: alpha beta gamma delta epsilon zeta eta theta.\nrecord000061: alpha beta gamma delta epsilon zeta eta theta.\nrecord000062: alpha beta gamma delta epsilon zeta eta theta.\nrecord000063: alpha beta gamma delta epsilon zeta eta theta.\nrecord000064: alpha beta gamma delta epsilon zeta eta theta.\nrecord000065: alpha beta gamma delta epsilon zeta eta theta.\nrecord000066: alpha beta gamma delta epsilon zeta eta theta.\nrecord000067: alpha beta gamma delta epsilon zeta eta theta.\nrecord000068: alpha beta gamma delta epsilon zeta eta theta.\nrecord000069: alpha beta gamma delta epsilon zeta eta theta.\nrecord000070: alpha beta gamma delta epsilon zeta eta theta.\nrecord000071: alpha beta gamma delta epsilon zeta eta theta.\nrecord000072: alpha beta gamma delta epsilon zeta eta theta.\nrecord000073: alpha beta gamma delta epsilon zeta eta theta.\nrecord000074: alpha beta gamma delta epsilon zeta eta theta.\nrecord000075: alpha beta gamma delta epsilon zeta eta theta.\nrecord000076: alpha beta gamma delta epsilon zeta eta theta.\nrecord000077: alpha beta gamma delta epsilon zeta eta theta.\nrecord000078: alpha beta gamma delta epsilon zeta eta theta.\nrecord000079: alpha beta gamma delta epsilon zeta eta theta.\nrecord000080: alpha beta gamma delta epsilon zeta eta theta.\nrecord000081: alpha beta gamma delta epsilon zeta eta theta.\nrecord000082: alpha beta gamma delta epsilon zeta eta theta.\nrecord000083: alpha beta gamma delta epsilon zeta eta theta.\nrecord000084: alpha beta gamma delta epsilon zeta eta theta.\nrecord000085: alpha beta gamma delta epsilon zeta eta theta.\nrecord000086: alpha beta gamma delta epsilon zeta eta theta.\nrecord000087: alpha beta gamma delta epsilon zeta eta theta.\nrecord000088: alpha beta gamma delta epsilon zeta eta theta.\nrecord000089: alpha beta gamma delta epsilon zeta eta theta.\nrecord000090: alpha beta gamma delta epsilon zeta eta theta.\nrecord000091: alpha beta gamma delta epsilon zeta eta theta.\nrecord000092: alpha beta gamma delta epsilon zeta eta theta.\nrecord000093: alpha beta gamma delta epsilon zeta eta theta.\nrecord000094: alpha beta gamma delta epsilon zeta eta theta.\nrecord000095: alpha beta gamma delta epsilon zeta eta theta.\nrecord000096: alpha beta gamma delta epsilon zeta eta theta.\nrecord000097: alpha beta gamma delta epsilon zeta eta theta.\nrecord000098: alpha beta gamma delta epsilon zeta eta theta.\nrecord000099: alpha beta gamma delta epsilon zeta eta theta.\nrecord000100: alpha beta gamma delta epsilon zeta eta theta.\nrecord000101: alpha beta gamma delta epsilon zeta eta theta.\nrecord000102: alpha beta gamma delta epsilon zeta eta theta.\nrecord000103: alpha beta gamma delta epsilon zeta eta theta.\nrecord000104: alpha beta gamma delta epsilon zeta eta theta.\nrecord000105: alpha beta gamma delta epsilon zeta eta theta.\nrecord000106: alpha beta gamma delta epsilon zeta eta theta.\nrecord000107: alpha beta gamma delta epsilon zeta eta theta.\nrecord000108: alpha beta gamma delta epsilon zeta eta theta.\nrecord000109: alpha beta gamma delta epsilon zeta eta theta.\nrecord000110: alpha beta gamma delta epsilon zeta eta theta.\nrecord000111: alpha beta gamma delta epsilon zeta eta theta.\nrecord000112: alpha beta gamma delta epsilon zeta eta theta.\nrecord000113: alpha beta gamma delta epsilon zeta eta theta.\nrecord000114: alpha beta gamma delta epsilon zeta eta theta.\nrecord000115: alpha beta gamma delta epsilon zeta eta theta.\nrecord000116: alpha beta gamma delta epsilon zeta eta theta.\nrecord000117: alpha beta gamma delta epsilon zeta eta theta.\nrecord000118: alpha beta gamma delta epsilon zeta eta theta.\nrecord000119: alpha beta gamma delta epsilon zeta eta theta.\nrecord000120: alpha beta gamma delta epsilon zeta eta theta.\nrecord000121: alpha beta gamma delta epsilon zeta eta theta.\nrecord000122: alpha beta gamma delta epsilon zeta eta theta.\nrecord000123: alpha beta gamma delta epsilon zeta eta theta.\nrecord000124: alpha beta gamma delta epsilon zeta eta theta.\nrecord000125: alpha beta gamma delta epsilon zeta eta theta.\nrecord000126: alpha beta gamma delta epsilon zeta eta theta.\nrecord000127: alpha beta gamma delta epsilon zeta eta theta.\nrecord000128: alpha beta gamma delta epsilon zeta eta theta.\nrecord000129: alpha beta gamma delta epsilon zeta eta theta.\nrecord000130: alpha beta gamma delta epsilon zeta eta theta.\nrecord000131: alpha beta gamma delta epsilon zeta eta theta.\nrecord000132: alpha beta gamma delta epsilon zeta eta theta.\nrecord000133: alpha beta gamma delta epsilon zeta eta theta.\nrecord000134: alpha beta gamma delta epsilon zeta eta theta.\nrecord000135: alpha beta gamma delta epsilon zeta eta theta.\nrecord000136: alpha beta gamma delta epsilon zeta eta theta.\nrecord000137: alpha beta gamma delta epsilon zeta eta theta.\nrecord000138: alpha beta gamma delta epsilon zeta eta theta.\nrecord000139: alpha beta gamma delta epsilon zeta eta theta.\nrecord000140: alpha beta gamma delta epsilon zeta eta theta.\nrecord000141: alpha beta gamma delta epsilon zeta eta theta.\nrecord000142: alpha beta gamma delta epsilon zeta eta theta.\nrecord000143: alpha beta gamma delta epsilon zeta eta theta.\nrecord000144: alpha beta gamma delta epsilon zeta eta theta.\nrecord000145: alpha beta gamma delta epsilon zeta eta theta.\nrecord000146: alpha beta gamma delta epsilon zeta eta theta.\nrecord000147: alpha beta gamma delta epsilon zeta eta theta.\nrecord000148: alpha beta gamma delta epsilon zeta eta theta.\nrecord000149: alpha beta gamma delta epsilon zeta eta theta.\nrecord000150: alpha beta gamma delta epsilon zeta eta theta.\nrecord000151: alpha beta gamma delta epsilon zeta eta theta.\nrecord000152: alpha beta gamma delta epsilon zeta eta theta.\nrecord000153: alpha beta gamma delta epsilon zeta eta theta.\nrecord000154: alpha beta gamma delta epsilon zeta eta theta.\nrecord000155: alpha beta gamma delta epsilon zeta eta theta.\nrecord000156: alpha beta gamma delta epsilon zeta eta theta.\nrecord000157: alpha beta gamma delta epsilon zeta eta theta.\nrecord000158: alpha beta gamma delta epsilon zeta eta theta.\nrecord000159: alpha beta gamma delta epsilon zeta eta theta.\nrecord000160: alpha beta gamma delta epsilon zeta eta theta.\nrecord000161: alpha beta gamma delta epsilon zeta eta theta.\nrecord000162: alpha beta gamma delta epsilon zeta eta theta.\nrecord000163: alpha beta gamma delta epsilon zeta eta theta.\nrecord000164: alpha beta gamma delta epsilon zeta eta theta.\nrecord000165: alpha beta gamma delta epsilon zeta eta theta.\nrecord000166: alpha beta gamma delta epsilon zeta eta theta.\nrecord000167: alpha beta gamma delta epsilon zeta eta theta.\nrecord000168: alpha beta gamma delta epsilon zeta eta theta.\nrecord000169: alpha beta gamma delta epsilon zeta eta theta.\nrecord000170: alpha beta gamma delta epsilon zeta eta theta.\nrecord000171: alpha beta gamma delta epsilon zeta eta theta.\nrecord000172: alpha beta gamma delta epsilon zeta eta theta.\nrecord000173: alpha beta gamma delta epsilon zeta eta theta.\nrecord000174: alpha beta gamma delta epsilon zeta eta theta.\nrecord000175: alpha beta gamma delta epsilon zeta eta theta.\nrecord000176: alpha beta gamma delta epsilon zeta eta theta.\nrecord000177: alpha beta gamma delta epsilon zeta eta theta.\nrecord000178: alpha beta gamma delta epsilon zeta eta theta.\nrecord000179: alpha beta gamma delta epsilon zeta eta theta.\nrecord000180: alpha beta gamma delta epsilon zeta eta theta.\nrecord000181: alpha beta gamma delta epsilon zeta eta theta.\nrecord000182: alpha beta gamma delta epsilon zeta eta theta.\nrecord000183: alpha beta gamma delta epsilon zeta eta theta.\nrecord000184: alpha beta gamma delta epsilon zeta eta theta.\nrecord000185: alpha beta gamma delta epsilon zeta eta theta.\nrecord000186: alpha beta gamma delta epsilon zeta eta theta.\nrecord000187: alpha beta gamma delta epsilon zeta eta theta.\nrecord000188: alpha beta gamma delta epsilon zeta eta theta.\nrecord000189: alpha beta gamma delta epsilon zeta eta theta.\nrecord000190: alpha beta gamma delta epsilon zeta eta theta.\nrecord000191: alpha beta gamma delta epsilon zeta eta theta.\nrecord000192: alpha beta gamma delta epsilon zeta eta theta.\nrecord000193: alpha beta gamma delta epsilon zeta eta theta.\nrecord000194: alpha beta gamma delta epsilon zeta eta theta.\nrecord000195: alpha beta gamma delta epsilon zeta eta theta.\nrecord000196: alpha beta gamma delta epsilon zeta eta theta.\nrecord000197: alpha beta gamma delta epsilon zeta eta theta.\nrecord000198: alpha beta gamma delta epsilon zeta eta theta.\nrecord000199: alpha beta gamma delta epsilon zeta eta theta.\nrecord000200: alpha beta gamma delta epsilon zeta eta theta.\nrecord000201: alpha beta gamma delta epsilon zeta eta theta.\nrecord000202: alpha beta gamma delta epsilon zeta eta theta.\nrecord000203: alpha beta gamma delta epsilon zeta eta theta.\nrecord000204: alpha beta gamma delta epsilon zeta eta theta.\nrecord000205: alpha beta gamma delta epsilon zeta eta theta.\nrecord000206: alpha beta gamma delta epsilon zeta eta theta.\nrecord000207: alpha beta gamma delta epsilon zeta eta theta.\nrecord000208: alpha beta gamma delta epsilon zeta eta theta.\nrecord000209: alpha beta gamma delta epsilon zeta eta theta.\nrecord000210: alpha beta gamma delta epsilon zeta eta theta.\nrecord000211: alpha beta gamma delta epsilon zeta eta theta.\nWhat is access_code? Reply only with its value."}], "tools": null, "final_answer": "ORBIT-731", "reasoning": "We need answer user's request. User provided long text with records and line \"access_code = ORBIT-731\" then asks \"What is access_code? Reply only with its value.\" Need output only ORBIT-731. Ensure no extra. done.\n", "tool_calls": [], "finish_reason": "stop", "usage": {"prompt_tokens": 4089, "completion_tokens": 66, "total_tokens": 4155, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 4089, "prompt_ms": 2051.7, "prompt_per_token_ms": 0.502, "prompt_per_second": 1993.0, "predicted_n": 66, "predicted_ms": 393.3, "predicted_per_token_ms": 5.959, "predicted_per_second": 167.8, "draft_n": 54, "draft_n_accepted": 44}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 2.450478, "first_delta": {"offset_s": 2.068226, "kind": "reasoning"}, "first_answer_offset_s": 2.431995, "client_events": [[2.068226, "reasoning"], [2.086281, "reasoning"], [2.086301, "reasoning"], [2.086343, "reasoning"], [2.08638, "reasoning"], [2.104682, "reasoning"], [2.104703, "reasoning"], [2.104748, "reasoning"], [2.115773, "reasoning"], [2.127261, "reasoning"], [2.138774, "reasoning"], [2.157322, "reasoning"], [2.157343, "reasoning"], [2.17581, "reasoning"], [2.175831, "reasoning"], [2.187489, "reasoning"], [2.205714, "reasoning"], [2.205741, "reasoning"], [2.20576, "reasoning"], [2.205802, "reasoning"], [2.224424, "reasoning"], [2.22445, "reasoning"], [2.224469, "reasoning"], [2.224507, "reasoning"], [2.243199, "reasoning"], [2.243225, "reasoning"], [2.243244, "reasoning"], [2.243281, "reasoning"], [2.26224, "reasoning"], [2.262265, "reasoning"], [2.262284, "reasoning"], [2.262327, "reasoning"], [2.281933, "reasoning"], [2.281959, "reasoning"], [2.282016, "reasoning"], [2.282034, "reasoning"], [2.300285, "reasoning"], [2.300311, "reasoning"], [2.30033, "reasoning"], [2.300368, "reasoning"], [2.318894, "reasoning"], [2.31892, "reasoning"], [2.318939, "reasoning"], [2.337563, "reasoning"], [2.337588, "reasoning"], [2.337612, "reasoning"], [2.337642, "reasoning"], [2.355959, "reasoning"], [2.355996, "reasoning"], [2.375045, "reasoning"], [2.375071, "reasoning"], [2.393072, "reasoning"], [2.393098, "reasoning"], [2.393129, "reasoning"], [2.39317, "reasoning"], [2.411846, "reasoning"], [2.411872, "reasoning"], [2.431995, "answer"], [2.432021, "answer"], [2.432052, "answer"], [2.43209, "answer"], [2.450191, "answer"], [2.450217, "answer"]]} +{"request_id": "sanity-R2", "phase": "sanity", "case_id": "R2", "request": {"stream": true, "stream_options": {"include_usage": true}, "max_tokens": 2048, "seed": 1, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}}, "messages": [{"role": "user", "content": "[case sanity-R2]\nrecord000001: alpha beta gamma delta epsilon zeta eta theta.\nrecord000002: alpha beta gamma delta epsilon zeta eta theta.\nrecord000003: alpha beta gamma delta epsilon zeta eta theta.\nrecord000004: alpha beta gamma delta epsilon zeta eta theta.\nrecord000005: alpha beta gamma delta epsilon zeta eta theta.\nrecord000006: alpha beta gamma delta epsilon zeta eta theta.\nrecord000007: alpha beta gamma delta epsilon zeta eta theta.\nrecord000008: alpha beta gamma delta epsilon zeta eta theta.\nrecord000009: alpha beta gamma delta epsilon zeta eta theta.\nrecord000010: alpha beta gamma delta epsilon zeta eta theta.\nrecord000011: alpha beta gamma delta epsilon zeta eta theta.\nrecord000012: alpha beta gamma delta epsilon zeta eta theta.\nrecord000013: alpha beta gamma delta epsilon zeta eta theta.\nrecord000014: alpha beta gamma delta epsilon zeta eta theta.\nrecord000015: alpha beta gamma delta epsilon zeta eta theta.\nrecord000016: alpha beta gamma delta epsilon zeta eta theta.\nrecord000017: alpha beta gamma delta epsilon zeta eta theta.\nrecord000018: alpha beta gamma delta epsilon zeta eta theta.\nrecord000019: alpha beta gamma delta epsilon zeta eta theta.\nrecord000020: alpha beta gamma delta epsilon zeta eta theta.\nrecord000021: alpha beta gamma delta epsilon zeta eta theta.\nrecord000022: alpha beta gamma delta epsilon zeta eta theta.\nrecord000023: alpha beta gamma delta epsilon zeta eta theta.\nrecord000024: alpha beta gamma delta epsilon zeta eta theta.\nrecord000025: alpha beta gamma delta epsilon zeta eta theta.\nrecord000026: alpha beta gamma delta epsilon zeta eta theta.\nrecord000027: alpha beta gamma delta epsilon zeta eta theta.\nrecord000028: alpha beta gamma delta epsilon zeta eta theta.\nrecord000029: alpha beta gamma delta epsilon zeta eta theta.\nrecord000030: alpha beta gamma delta epsilon zeta eta theta.\nrecord000031: alpha beta gamma delta epsilon zeta eta theta.\nrecord000032: alpha beta gamma delta epsilon zeta eta theta.\nrecord000033: alpha beta gamma delta epsilon zeta eta theta.\nrecord000034: alpha beta gamma delta epsilon zeta eta theta.\nrecord000035: alpha beta gamma delta epsilon zeta eta theta.\nrecord000036: alpha beta gamma delta epsilon zeta eta theta.\nrecord000037: alpha beta gamma delta epsilon zeta eta theta.\nrecord000038: alpha beta gamma delta epsilon zeta eta theta.\nrecord000039: alpha beta gamma delta epsilon zeta eta theta.\nrecord000040: alpha beta gamma delta epsilon zeta eta theta.\nrecord000041: alpha beta gamma delta epsilon zeta eta theta.\nrecord000042: alpha beta gamma delta epsilon zeta eta theta.\nrecord000043: alpha beta gamma delta epsilon zeta eta theta.\nrecord000044: alpha beta gamma delta epsilon zeta eta theta.\nrecord000045: alpha beta gamma delta epsilon zeta eta theta.\nrecord000046: alpha beta gamma delta epsilon zeta eta theta.\nrecord000047: alpha beta gamma delta epsilon zeta eta theta.\nrecord000048: alpha beta gamma delta epsilon zeta eta theta.\nrecord000049: alpha beta gamma delta epsilon zeta eta theta.\nrecord000050: alpha beta gamma delta epsilon zeta eta theta.\nrecord000051: alpha beta gamma delta epsilon zeta eta theta.\nrecord000052: alpha beta gamma delta epsilon zeta eta theta.\nrecord000053: alpha beta gamma delta epsilon zeta eta theta.\nrecord000054: alpha beta gamma delta epsilon zeta eta theta.\nrecord000055: alpha beta gamma delta epsilon zeta eta theta.\nrecord000056: alpha beta gamma delta epsilon zeta eta theta.\nrecord000057: alpha beta gamma delta epsilon zeta eta theta.\nrecord000058: alpha beta gamma delta epsilon zeta eta theta.\nrecord000059: alpha beta gamma delta epsilon zeta eta theta.\nrecord000060: alpha beta gamma delta epsilon zeta eta theta.\nrecord000061: alpha beta gamma delta epsilon zeta eta theta.\nrecord000062: alpha beta gamma delta epsilon zeta eta theta.\nrecord000063: alpha beta gamma delta epsilon zeta eta theta.\nrecord000064: alpha beta gamma delta epsilon zeta eta theta.\nrecord000065: alpha beta gamma delta epsilon zeta eta theta.\nrecord000066: alpha beta gamma delta epsilon zeta eta theta.\nrecord000067: alpha beta gamma delta epsilon zeta eta theta.\nrecord000068: alpha beta gamma delta epsilon zeta eta theta.\nrecord000069: alpha beta gamma delta epsilon zeta eta 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theta.\nrecord000198: alpha beta gamma delta epsilon zeta eta theta.\nrecord000199: alpha beta gamma delta epsilon zeta eta theta.\nrecord000200: alpha beta gamma delta epsilon zeta eta theta.\nrecord000201: alpha beta gamma delta epsilon zeta eta theta.\nrecord000202: alpha beta gamma delta epsilon zeta eta theta.\nrecord000203: alpha beta gamma delta epsilon zeta eta theta.\nrecord000204: alpha beta gamma delta epsilon zeta eta theta.\nrecord000205: alpha beta gamma delta epsilon zeta eta theta.\nrecord000206: alpha beta gamma delta epsilon zeta eta theta.\nrecord000207: alpha beta gamma delta epsilon zeta eta theta.\nrecord000208: alpha beta gamma delta epsilon zeta eta theta.\nrecord000209: alpha beta gamma delta epsilon zeta eta theta.\nrecord000210: alpha beta gamma delta epsilon zeta eta theta.\nrecord000211: alpha beta gamma delta epsilon zeta eta theta.\nWhat is storage_label? Reply only with its value."}], "tools": null, "final_answer": "CEDAR-284", "reasoning": "We need answer user's request. User provided many records and asks: What is storage_label? Reply only with its value. In text: \"storage_label = CEDAR-284\". Need output only value CEDAR-284. Ensure no extra. But let's analyze if any trick: The label appears after record000105. It says storage_label = CEDAR-284. So answer CEDAR-284. 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theta.\nrecord000085: alpha beta gamma delta epsilon zeta eta theta.\nrecord000086: alpha beta gamma delta epsilon zeta eta theta.\nrecord000087: alpha beta gamma delta epsilon zeta eta theta.\nrecord000088: alpha beta gamma delta epsilon zeta eta theta.\nrecord000089: alpha beta gamma delta epsilon zeta eta theta.\nrecord000090: alpha beta gamma delta epsilon zeta eta theta.\nrecord000091: alpha beta gamma delta epsilon zeta eta theta.\nrecord000092: alpha beta gamma delta epsilon zeta eta theta.\nrecord000093: alpha beta gamma delta epsilon zeta eta theta.\nrecord000094: alpha beta gamma delta epsilon zeta eta theta.\nrecord000095: alpha beta gamma delta epsilon zeta eta theta.\nrecord000096: alpha beta gamma delta epsilon zeta eta theta.\nrecord000097: alpha beta gamma delta epsilon zeta eta theta.\nrecord000098: alpha beta gamma delta epsilon zeta eta theta.\nrecord000099: alpha beta gamma delta epsilon zeta eta theta.\nrecord000100: alpha beta gamma delta epsilon zeta eta 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theta.\nrecord000563: alpha beta gamma delta epsilon zeta eta theta.\nrecord000564: alpha beta gamma delta epsilon zeta eta theta.\nrecord000565: alpha beta gamma delta epsilon zeta eta theta.\nrecord000566: alpha beta gamma delta epsilon zeta eta theta.\nrecord000567: alpha beta gamma delta epsilon zeta eta theta.\nrecord000568: alpha beta gamma delta epsilon zeta eta theta.\nrecord000569: alpha beta gamma delta epsilon zeta eta theta.\nrecord000570: alpha beta gamma delta epsilon zeta eta theta.\nrecord000571: alpha beta gamma delta epsilon zeta eta theta.\nrecord000572: alpha beta gamma delta epsilon zeta eta theta.\nrecord000573: alpha beta gamma delta epsilon zeta eta theta.\nrecord000574: alpha beta gamma delta epsilon zeta eta theta.\nrecord000575: alpha beta gamma delta epsilon zeta eta theta.\nrecord000576: alpha beta gamma delta epsilon zeta eta theta.\nrecord000577: alpha beta gamma delta epsilon zeta eta theta.\nrecord000578: alpha beta gamma delta epsilon zeta eta theta.\nrecord000579: alpha beta gamma delta epsilon zeta eta theta.\nrecord000580: alpha beta gamma delta epsilon zeta eta theta.\nrecord000581: alpha beta gamma delta epsilon zeta eta theta.\nrecord000582: alpha beta gamma delta epsilon zeta eta theta.\nrecord000583: alpha beta gamma delta epsilon zeta eta theta.\nrecord000584: alpha beta gamma delta epsilon zeta eta theta.\nrecord000585: alpha beta gamma delta epsilon zeta eta theta.\nrecord000586: alpha beta gamma delta epsilon zeta eta theta.\nrecord000587: alpha beta gamma delta epsilon zeta eta theta.\nrecord000588: alpha beta gamma delta epsilon zeta eta theta.\nrecord000589: alpha beta gamma delta epsilon zeta eta theta.\nrecord000590: alpha beta gamma delta epsilon zeta eta theta.\nrecord000591: alpha beta gamma delta epsilon zeta eta theta.\nrecord000592: alpha beta gamma delta epsilon zeta eta theta.\nrecord000593: alpha beta gamma delta epsilon zeta eta theta.\nrecord000594: alpha beta gamma delta epsilon zeta eta theta.\nrecord000595: alpha beta gamma delta epsilon zeta eta theta.\nrecord000596: alpha beta gamma delta epsilon zeta eta theta.\nrecord000597: alpha beta gamma delta epsilon zeta eta theta.\nrecord000598: alpha beta gamma delta epsilon zeta eta theta.\nrecord000599: alpha beta gamma delta epsilon zeta eta theta.\nrecord000600: alpha beta gamma delta epsilon zeta eta theta.\nrecord000601: alpha beta gamma delta epsilon zeta eta theta.\nrecord000602: alpha beta gamma delta epsilon zeta eta theta.\nrecord000603: alpha beta gamma delta epsilon zeta eta theta.\nrecord000604: alpha beta gamma delta epsilon zeta eta theta.\nrecord000605: alpha beta gamma delta epsilon zeta eta theta.\nrecord000606: alpha beta gamma delta epsilon zeta eta theta.\nrecord000607: alpha beta gamma delta epsilon zeta eta theta.\nrecord000608: alpha beta gamma delta epsilon zeta eta theta.\nrecord000609: alpha beta gamma delta epsilon zeta eta theta.\nrecord000610: alpha beta gamma delta epsilon zeta eta theta.\nrecord000611: alpha beta gamma delta epsilon zeta eta theta.\nrecord000612: alpha beta gamma delta epsilon zeta eta theta.\nrecord000613: alpha beta gamma delta epsilon zeta eta theta.\nrecord000614: alpha beta gamma delta epsilon zeta eta theta.\nrecord000615: alpha beta gamma delta epsilon zeta eta theta.\nrecord000616: alpha beta gamma delta epsilon zeta eta theta.\nrecord000617: alpha beta gamma delta epsilon zeta eta theta.\nrecord000618: alpha beta gamma delta epsilon zeta eta theta.\nrecord000619: alpha beta gamma delta epsilon zeta eta theta.\nrecord000620: alpha beta gamma delta epsilon zeta eta theta.\nrecord000621: alpha beta gamma delta epsilon zeta eta theta.\nrecord000622: alpha beta gamma delta epsilon zeta eta theta.\nrecord000623: alpha beta gamma delta epsilon zeta eta theta.\nrecord000624: alpha beta gamma delta epsilon zeta eta theta.\nrecord000625: alpha beta gamma delta epsilon zeta eta theta.\nrecord000626: alpha beta gamma delta epsilon zeta eta theta.\nrecord000627: alpha beta gamma delta epsilon zeta eta theta.\nrecord000628: alpha beta gamma delta epsilon zeta eta theta.\nrecord000629: alpha beta gamma delta epsilon zeta eta theta.\nrecord000630: alpha beta gamma delta epsilon zeta eta theta.\nrecord000631: alpha beta gamma delta epsilon zeta eta theta.\nrecord000632: alpha beta gamma delta epsilon zeta eta theta.\nrecord000633: alpha beta gamma delta epsilon zeta eta theta.\nrecord000634: alpha beta gamma delta epsilon zeta eta theta.\nrecord000635: alpha beta gamma delta epsilon zeta eta theta.\nrecord000636: alpha beta gamma delta epsilon zeta eta theta.\nrecord000637: alpha beta gamma delta epsilon zeta eta theta.\nrecord000638: alpha beta gamma delta epsilon zeta eta theta.\nrecord000639: alpha beta gamma delta epsilon zeta eta theta.\nrecord000640: alpha beta gamma delta epsilon zeta eta theta.\nrecord000641: alpha beta gamma delta epsilon zeta eta theta.\nrecord000642: alpha beta gamma delta epsilon zeta eta theta.\nrecord000643: alpha beta gamma delta epsilon zeta eta theta.\nrecord000644: alpha beta gamma delta epsilon zeta eta theta.\nrecord000645: alpha beta gamma delta epsilon zeta eta theta.\nrecord000646: alpha beta gamma delta epsilon zeta eta theta.\nrecord000647: alpha beta gamma delta epsilon zeta eta theta.\nrecord000648: alpha beta gamma delta epsilon zeta eta theta.\nrecord000649: alpha beta gamma delta epsilon zeta eta theta.\nrecord000650: alpha beta gamma delta epsilon zeta eta theta.\nrecord000651: alpha beta gamma delta epsilon zeta eta theta.\nrecord000652: alpha beta gamma delta epsilon zeta eta theta.\nrecord000653: alpha beta gamma delta epsilon zeta eta theta.\nrecord000654: alpha beta gamma delta epsilon zeta eta theta.\nrecord000655: alpha beta gamma delta epsilon zeta eta theta.\nrecord000656: alpha beta gamma delta epsilon zeta eta theta.\nrecord000657: alpha beta gamma delta epsilon zeta eta theta.\nrecord000658: alpha beta gamma delta epsilon zeta eta theta.\nrecord000659: alpha beta gamma delta epsilon zeta eta theta.\nrecord000660: alpha beta gamma delta epsilon zeta eta theta.\nrecord000661: alpha beta gamma delta epsilon zeta eta theta.\nrecord000662: alpha beta gamma delta epsilon zeta eta theta.\nrecord000663: alpha beta gamma delta epsilon zeta eta theta.\nrecord000664: alpha beta gamma delta epsilon zeta eta theta.\nrecord000665: alpha beta gamma delta epsilon zeta eta theta.\nrecord000666: alpha beta gamma delta epsilon zeta eta theta.\nrecord000667: alpha beta gamma delta epsilon zeta eta theta.\nrecord000668: alpha beta gamma delta epsilon zeta eta theta.\nrecord000669: alpha beta gamma delta epsilon zeta eta theta.\nrecord000670: alpha beta gamma delta epsilon zeta eta theta.\nrecord000671: alpha beta gamma delta epsilon zeta eta theta.\nrecord000672: alpha beta gamma delta epsilon zeta eta theta.\nrecord000673: alpha beta gamma delta epsilon zeta eta theta.\nrecord000674: alpha beta gamma delta epsilon zeta eta theta.\nrecord000675: alpha beta gamma delta epsilon zeta eta theta.\nrecord000676: alpha beta gamma delta epsilon zeta eta theta.\nrecord000677: alpha beta gamma delta epsilon zeta eta theta.\nrecord000678: alpha beta gamma delta epsilon zeta eta theta.\nrecord000679: alpha beta gamma delta epsilon zeta eta theta.\nrecord000680: alpha beta gamma delta epsilon zeta eta theta.\nrecord000681: alpha beta gamma delta epsilon zeta eta theta.\nrecord000682: alpha beta gamma delta epsilon zeta eta theta.\nrecord000683: alpha beta gamma delta epsilon zeta eta theta.\nrecord000684: alpha beta gamma delta epsilon zeta eta theta.\nrecord000685: alpha beta gamma delta epsilon zeta eta theta.\nrecord000686: alpha beta gamma delta epsilon zeta eta theta.\nrecord000687: alpha beta gamma delta epsilon zeta eta theta.\nrecord000688: alpha beta gamma delta epsilon zeta eta theta.\nrecord000689: alpha beta gamma delta epsilon zeta eta theta.\nrecord000690: alpha beta gamma delta epsilon zeta eta theta.\nrecord000691: alpha beta gamma delta epsilon zeta eta theta.\nrecord000692: alpha beta gamma delta epsilon zeta eta theta.\nrecord000693: alpha beta gamma delta epsilon zeta eta theta.\nrecord000694: alpha beta gamma delta epsilon zeta eta theta.\nrecord000695: alpha beta gamma delta epsilon zeta eta theta.\nrecord000696: alpha beta gamma delta epsilon zeta eta theta.\nrecord000697: alpha beta gamma delta epsilon zeta eta theta.\nrecord000698: alpha beta gamma delta epsilon zeta eta theta.\nrecord000699: alpha beta gamma delta epsilon zeta eta theta.\nrecord000700: alpha beta gamma delta epsilon zeta eta theta.\nrecord000701: alpha beta gamma delta epsilon zeta eta theta.\nrecord000702: alpha beta gamma delta epsilon zeta eta theta.\nrecord000703: alpha beta gamma delta epsilon zeta eta theta.\nrecord000704: alpha beta gamma delta epsilon zeta eta theta.\nrecord000705: alpha beta gamma delta epsilon zeta eta theta.\nrecord000706: alpha beta gamma delta epsilon zeta eta theta.\nrecord000707: alpha beta gamma delta epsilon zeta eta theta.\nrecord000708: alpha beta gamma delta epsilon zeta eta theta.\nrecord000709: alpha beta gamma delta epsilon zeta eta theta.\nrecord000710: alpha beta gamma delta epsilon zeta eta theta.\nrecord000711: alpha beta gamma delta epsilon zeta eta theta.\nrecord000712: alpha beta gamma delta epsilon zeta eta theta.\nrecord000713: alpha beta gamma delta epsilon zeta eta theta.\nrecord000714: alpha beta gamma delta epsilon zeta eta theta.\nrecord000715: alpha beta gamma delta epsilon zeta eta theta.\nrecord000716: alpha beta gamma delta epsilon zeta eta theta.\nrecord000717: alpha beta gamma delta epsilon zeta eta theta.\nrecord000718: alpha beta gamma delta epsilon zeta eta theta.\nrecord000719: alpha beta gamma delta epsilon zeta eta theta.\nrecord000720: alpha beta gamma delta epsilon zeta eta theta.\nrecord000721: alpha beta gamma delta epsilon zeta eta theta.\nrecord000722: alpha beta gamma delta epsilon zeta eta theta.\nrecord000723: alpha beta gamma delta epsilon zeta eta theta.\nrecord000724: alpha beta gamma delta epsilon zeta eta theta.\nrecord000725: alpha beta gamma delta epsilon zeta eta theta.\nrecord000726: alpha beta gamma delta epsilon zeta eta theta.\nrecord000727: alpha beta gamma delta epsilon zeta eta theta.\nrecord000728: alpha beta gamma delta epsilon zeta eta theta.\nrecord000729: alpha beta gamma delta epsilon zeta eta theta.\nrecord000730: alpha beta gamma delta epsilon zeta eta theta.\nrecord000731: alpha beta gamma delta epsilon zeta eta theta.\nrecord000732: alpha beta gamma delta epsilon zeta eta theta.\nrecord000733: alpha beta gamma delta epsilon zeta eta theta.\nrecord000734: alpha beta gamma delta epsilon zeta eta theta.\nrecord000735: alpha beta gamma delta epsilon zeta eta theta.\nrecord000736: alpha beta gamma delta epsilon zeta eta theta.\nrecord000737: alpha beta gamma delta epsilon zeta eta theta.\nrecord000738: alpha beta gamma delta epsilon zeta eta theta.\nrecord000739: alpha beta gamma delta epsilon zeta eta theta.\nrecord000740: alpha beta gamma delta epsilon zeta eta theta.\nrecord000741: alpha beta gamma delta epsilon zeta eta theta.\nrecord000742: alpha beta gamma delta epsilon zeta eta theta.\nrecord000743: alpha beta gamma delta epsilon zeta eta theta.\nrecord000744: alpha beta gamma delta epsilon zeta eta theta.\nrecord000745: alpha beta gamma delta epsilon zeta eta theta.\nrecord000746: alpha beta gamma delta epsilon zeta eta theta.\nrecord000747: alpha beta gamma delta epsilon zeta eta theta.\nrecord000748: alpha beta gamma delta epsilon zeta eta theta.\nrecord000749: alpha beta gamma delta epsilon zeta eta theta.\nrecord000750: alpha beta gamma delta epsilon zeta eta theta.\nrecord000751: alpha beta gamma delta epsilon zeta eta theta.\nrecord000752: alpha beta gamma delta epsilon zeta eta theta.\nrecord000753: alpha beta gamma delta epsilon zeta eta theta.\nrecord000754: alpha beta gamma delta epsilon zeta eta theta.\nrecord000755: alpha beta gamma delta epsilon zeta eta theta.\nrecord000756: alpha beta gamma delta epsilon zeta eta theta.\nrecord000757: alpha beta gamma delta epsilon zeta eta theta.\nrecord000758: alpha beta gamma delta epsilon zeta eta theta.\nrecord000759: alpha beta gamma delta epsilon zeta eta theta.\nrecord000760: alpha beta gamma delta epsilon zeta eta theta.\nrecord000761: alpha beta gamma delta epsilon zeta eta theta.\nrecord000762: alpha beta gamma delta epsilon zeta eta theta.\nrecord000763: alpha beta gamma delta epsilon zeta eta theta.\nrecord000764: alpha beta gamma delta epsilon zeta eta theta.\nrecord000765: alpha beta gamma delta epsilon zeta eta theta.\nrecord000766: alpha beta gamma delta epsilon zeta eta theta.\nrecord000767: alpha beta gamma delta epsilon zeta eta theta.\nrecord000768: alpha beta gamma delta epsilon zeta eta theta.\nrecord000769: alpha beta gamma delta epsilon zeta eta theta.\nrecord000770: alpha beta gamma delta epsilon zeta eta theta.\nrecord000771: alpha beta gamma delta epsilon zeta eta theta.\nrecord000772: alpha beta gamma delta epsilon zeta eta theta.\nsouth = S-875\nrecord000773: alpha beta gamma delta epsilon zeta eta theta.\nrecord000774: alpha beta gamma delta epsilon zeta eta theta.\nrecord000775: alpha beta gamma delta epsilon zeta eta theta.\nrecord000776: alpha beta gamma delta epsilon zeta eta theta.\nrecord000777: alpha beta gamma delta epsilon zeta eta theta.\nrecord000778: alpha beta gamma delta epsilon zeta eta theta.\nrecord000779: alpha beta gamma delta epsilon zeta eta theta.\nrecord000780: alpha beta gamma delta epsilon zeta eta theta.\nrecord000781: alpha beta gamma delta epsilon zeta eta theta.\nrecord000782: alpha beta gamma delta epsilon zeta eta theta.\nrecord000783: alpha beta gamma delta epsilon zeta eta theta.\nrecord000784: alpha beta gamma delta epsilon zeta eta theta.\nrecord000785: alpha beta gamma delta epsilon zeta eta theta.\nrecord000786: alpha beta gamma delta epsilon zeta eta theta.\nrecord000787: alpha beta gamma delta epsilon zeta eta theta.\nrecord000788: alpha beta gamma delta epsilon zeta eta theta.\nrecord000789: alpha beta gamma delta epsilon zeta eta theta.\nrecord000790: alpha beta gamma delta epsilon zeta eta theta.\nrecord000791: alpha beta gamma delta epsilon zeta eta theta.\nrecord000792: alpha beta gamma delta epsilon zeta eta theta.\nrecord000793: alpha beta gamma delta epsilon zeta eta theta.\nrecord000794: alpha beta gamma delta epsilon zeta eta theta.\nrecord000795: alpha beta gamma delta epsilon zeta eta theta.\nrecord000796: alpha beta gamma delta epsilon zeta eta theta.\nrecord000797: alpha beta gamma delta epsilon zeta eta theta.\nrecord000798: alpha beta gamma delta epsilon zeta eta theta.\nrecord000799: alpha beta gamma delta epsilon zeta eta theta.\nrecord000800: alpha beta gamma delta epsilon zeta eta theta.\nrecord000801: alpha beta gamma delta epsilon zeta eta theta.\nrecord000802: alpha beta gamma delta epsilon zeta eta theta.\nrecord000803: alpha beta gamma delta epsilon zeta eta theta.\nrecord000804: alpha beta gamma delta epsilon zeta eta theta.\nrecord000805: alpha beta gamma delta epsilon zeta eta theta.\nrecord000806: alpha beta gamma delta epsilon zeta eta theta.\nrecord000807: alpha beta gamma delta epsilon zeta eta theta.\nrecord000808: alpha beta gamma delta epsilon zeta eta theta.\nrecord000809: alpha beta gamma delta epsilon zeta eta theta.\nrecord000810: alpha beta gamma delta epsilon zeta eta theta.\nrecord000811: alpha beta gamma delta epsilon zeta eta theta.\nrecord000812: alpha beta gamma delta epsilon zeta eta theta.\nrecord000813: alpha beta gamma delta epsilon zeta eta theta.\nrecord000814: alpha beta gamma delta epsilon zeta eta theta.\nrecord000815: alpha beta gamma delta epsilon zeta eta theta.\nrecord000816: alpha beta gamma delta epsilon zeta eta theta.\nrecord000817: alpha beta gamma delta epsilon zeta eta theta.\nrecord000818: alpha beta gamma delta epsilon zeta eta theta.\nrecord000819: alpha beta gamma delta epsilon zeta eta theta.\nrecord000820: alpha beta gamma delta epsilon zeta eta theta.\nrecord000821: alpha beta gamma delta epsilon zeta eta theta.\nrecord000822: alpha beta gamma delta epsilon zeta eta theta.\nrecord000823: alpha beta gamma delta epsilon zeta eta theta.\nrecord000824: alpha beta gamma delta epsilon zeta eta theta.\nrecord000825: alpha beta gamma delta epsilon zeta eta theta.\nrecord000826: alpha beta gamma delta epsilon zeta eta theta.\nrecord000827: alpha beta gamma delta epsilon zeta eta theta.\nrecord000828: alpha beta gamma delta epsilon zeta eta theta.\nrecord000829: alpha beta gamma delta epsilon zeta eta theta.\nrecord000830: alpha beta gamma delta epsilon zeta eta theta.\nrecord000831: alpha beta gamma delta epsilon zeta eta theta.\nrecord000832: alpha beta gamma delta epsilon zeta eta theta.\nrecord000833: alpha beta gamma delta epsilon zeta eta theta.\nrecord000834: alpha beta gamma delta epsilon zeta eta theta.\nrecord000835: alpha beta gamma delta epsilon zeta eta theta.\nrecord000836: alpha beta gamma delta epsilon zeta eta theta.\nrecord000837: alpha beta gamma delta epsilon zeta eta theta.\nrecord000838: alpha beta gamma delta epsilon zeta eta theta.\nrecord000839: alpha beta gamma delta epsilon zeta eta theta.\nrecord000840: alpha beta gamma delta epsilon zeta eta theta.\nrecord000841: alpha beta gamma delta epsilon zeta eta theta.\nrecord000842: alpha beta gamma delta epsilon zeta eta theta.\nrecord000843: alpha beta gamma delta epsilon zeta eta theta.\nrecord000844: alpha beta gamma delta epsilon zeta eta theta.\nrecord000845: alpha beta gamma delta epsilon zeta eta theta.\nrecord000846: alpha beta gamma delta epsilon zeta eta theta.\nrecord000847: alpha beta gamma delta epsilon zeta eta theta.\nrecord000848: alpha beta gamma delta epsilon zeta eta theta.\nrecord000849: alpha beta gamma delta epsilon zeta eta theta.\nrecord000850: alpha beta gamma delta epsilon zeta eta theta.\nrecord000851: alpha beta gamma delta epsilon zeta eta theta.\nrecord000852: alpha beta gamma delta epsilon zeta eta theta.\nrecord000853: alpha beta gamma delta epsilon zeta eta theta.\nrecord000854: alpha beta gamma delta epsilon zeta eta theta.\nrecord000855: alpha beta gamma delta epsilon zeta eta theta.\nrecord000856: alpha beta gamma delta epsilon zeta eta theta.\nrecord000857: alpha beta gamma delta epsilon zeta eta theta.\nrecord000858: alpha beta gamma delta epsilon zeta eta theta.\nReturn only a JSON object containing north and south and their values."}], "tools": null, "final_answer": "{\"north\":\"N-124\",\"south\":\"S-875\"}", "reasoning": "We need answer user's request. User gave a long text with records and embedded lines:\nnorth = N-124\nsouth = S-875\nInstruction: \"Return only a JSON object containing north and south and their values.\"\nNeed output JSON object with north and south and their values. Likely {\"north\":\"N-124\",\"south\":\"S-875\"}.\nNeed ensure only JSON no markdown.\nNeed final only JSON.\n", "tool_calls": [], "finish_reason": "stop", "usage": {"prompt_tokens": 16390, "completion_tokens": 118, "total_tokens": 16508, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 16390, "prompt_ms": 5044.5, "prompt_per_token_ms": 0.308, "prompt_per_second": 3249.1, "predicted_n": 118, "predicted_ms": 774.6, "predicted_per_token_ms": 6.564, "predicted_per_second": 152.3, "draft_n": 105, "draft_n_accepted": 74}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 5.833497, "first_delta": {"offset_s": 5.069605, "kind": "reasoning"}, "first_answer_offset_s": 5.756343, "client_events": [[5.069605, "reasoning"], [5.088074, "reasoning"], [5.088098, "reasoning"], [5.088142, "reasoning"], [5.08818, "reasoning"], [5.106879, "reasoning"], [5.106911, "reasoning"], [5.106953, "reasoning"], [5.107001, "reasoning"], [5.118527, "reasoning"], [5.130148, "reasoning"], [5.142625, "reasoning"], [5.157463, "reasoning"], [5.157485, "reasoning"], [5.176734, "reasoning"], [5.176793, "reasoning"], [5.196195, "reasoning"], [5.216455, "reasoning"], [5.216484, "reasoning"], [5.216493, "reasoning"], [5.234692, "reasoning"], [5.234718, "reasoning"], [5.234748, "reasoning"], [5.234784, "reasoning"], [5.253603, "reasoning"], [5.253632, "reasoning"], [5.253643, "reasoning"], [5.253653, "reasoning"], [5.272615, "reasoning"], [5.272643, "reasoning"], [5.272654, "reasoning"], [5.272662, "reasoning"], [5.291385, "reasoning"], [5.291413, "reasoning"], [5.291423, "reasoning"], [5.291443, "reasoning"], [5.310482, "reasoning"], [5.31051, "reasoning"], [5.330184, "reasoning"], [5.330211, "reasoning"], [5.33022, "reasoning"], [5.330228, "reasoning"], [5.350043, "reasoning"], [5.350071, "reasoning"], [5.35008, "reasoning"], [5.350088, "reasoning"], [5.368284, "reasoning"], [5.368311, "reasoning"], [5.36834, "reasoning"], [5.368375, "reasoning"], [5.382744, "reasoning"], [5.382771, "reasoning"], [5.397508, "reasoning"], [5.397536, "reasoning"], [5.416809, "reasoning"], [5.416836, "reasoning"], [5.428366, "reasoning"], [5.439902, "reasoning"], [5.458524, "reasoning"], [5.458551, "reasoning"], [5.458568, "reasoning"], [5.477819, "reasoning"], [5.477847, "reasoning"], [5.477865, "reasoning"], [5.477915, "reasoning"], [5.494984, "reasoning"], [5.514295, "reasoning"], [5.533858, "reasoning"], [5.533885, "reasoning"], [5.533915, "reasoning"], [5.533948, "reasoning"], [5.552559, "reasoning"], [5.552585, "reasoning"], [5.552604, "reasoning"], [5.571523, "reasoning"], [5.590054, "reasoning"], [5.590082, "reasoning"], [5.590112, "reasoning"], [5.590145, "reasoning"], [5.609033, "reasoning"], [5.60906, "reasoning"], [5.609078, "reasoning"], [5.609118, "reasoning"], [5.628069, "reasoning"], [5.647372, "reasoning"], [5.647399, "reasoning"], [5.647444, "reasoning"], [5.64748, "reasoning"], [5.667167, "reasoning"], [5.685865, "reasoning"], [5.685892, "reasoning"], [5.685923, "reasoning"], [5.700515, "reasoning"], [5.700542, "reasoning"], [5.718993, "reasoning"], [5.719019, "reasoning"], [5.737682, "reasoning"], [5.737709, "reasoning"], [5.756343, "answer"], [5.75637, "answer"], [5.775359, "answer"], [5.775386, "answer"], [5.775417, "answer"], [5.775454, "answer"], [5.794398, "answer"], [5.794428, "answer"], [5.794452, "answer"], [5.794461, "answer"], [5.813376, "answer"], [5.813404, "answer"], [5.813422, "answer"], [5.813479, "answer"], [5.833424, "answer"], [5.833453, "answer"], [5.833463, "answer"]]} +{"request_id": "sanity-T1", "phase": "sanity", "case_id": "T1", "request": {"stream": true, "stream_options": {"include_usage": true}, "max_tokens": 2048, "seed": 1, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}, "tool_choice": "auto"}, "messages": [{"role": "user", "content": "[case sanity-T1]\nUse lookup_record to look up record A-17."}], "tools": [{"type": "function", "function": {"name": "lookup_record", "description": "Synthetic benchmark lookup; no external action is performed.", "parameters": {"type": "object", "properties": {"id": {"type": "string"}}, "required": ["id"], "additionalProperties": false}}}], "final_answer": "", "reasoning": "The user wants me to look up record A-17 using the lookup_record tool. This is a simple, direct request. Let me make the call.\n", "tool_calls": [{"id": "call_7b2776cd44ed41248a47e87d", "name": "lookup_record", "arguments": "{\"id\":\"A-17\"}"}], "finish_reason": "tool_calls", "usage": {"prompt_tokens": 325, "completion_tokens": 64, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 325, "prompt_ms": 657.6, "prompt_per_token_ms": 2.023, "prompt_per_second": 494.2, "predicted_n": 64, "predicted_ms": 361.4, "predicted_per_token_ms": 5.647, "predicted_per_second": 177.1, "draft_n": 57, "draft_n_accepted": 47}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 1.024182, "first_delta": {"offset_s": 0.673805, "kind": "reasoning"}, "first_answer_offset_s": 0.912409, "client_events": [[0.673805, "reasoning"], [0.691403, "reasoning"], [0.691433, "reasoning"], [0.709743, "reasoning"], [0.709774, "reasoning"], [0.709816, "reasoning"], [0.709856, "reasoning"], [0.728191, "reasoning"], [0.728222, "reasoning"], [0.728263, "reasoning"], [0.728301, "reasoning"], [0.747132, "reasoning"], [0.747163, "reasoning"], [0.747205, "reasoning"], [0.747255, "reasoning"], [0.766274, "reasoning"], [0.766299, "reasoning"], [0.766308, "reasoning"], [0.766315, "reasoning"], [0.784251, "reasoning"], [0.784276, "reasoning"], [0.784285, "reasoning"], [0.784292, "reasoning"], [0.802798, "reasoning"], [0.820879, "reasoning"], [0.820905, "reasoning"], [0.820935, "reasoning"], [0.83879, "reasoning"], [0.838816, "reasoning"], [0.856946, "reasoning"], [0.856971, "reasoning"], [0.856981, "reasoning"], [0.85699, "reasoning"], [0.912409, "tool_call"], [0.912439, "tool_call"], [0.950157, "tool_call"], [0.950186, "tool_call"], [0.950225, "tool_call"], [0.950273, "tool_call"], [0.968809, "tool_call"], [0.968837, "tool_call"], [1.024137, "tool_call"], [1.024153, "tool_call"]]} +{"request_id": "sanity-T2", "phase": "sanity", "case_id": "T2", "request": {"stream": true, "stream_options": {"include_usage": true}, "max_tokens": 2048, "seed": 1, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}, "tool_choice": "auto"}, "messages": [{"role": "user", "content": "[case sanity-T2]\nUse get_weather for Zagreb in celsius."}], "tools": [{"type": "function", "function": {"name": "get_weather", "description": "Synthetic benchmark lookup; no external action is performed.", "parameters": {"type": "object", "properties": {"city": {"type": "string"}, "unit": {"type": "string"}}, "required": ["city", "unit"], "additionalProperties": false}}}], "final_answer": "", "reasoning": "The user wants me to call get_weather for Zagreb in celsius. Simple single call.\n", "tool_calls": [{"id": "call_8481556466954c2692b7c459", "name": "get_weather", "arguments": "{\"city\":\"Zagreb\",\"unit\":\"celsius\"}"}], "finish_reason": "tool_calls", "usage": {"prompt_tokens": 335, "completion_tokens": 63, "total_tokens": 398, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 335, "prompt_ms": 497.1, "prompt_per_token_ms": 1.484, "prompt_per_second": 673.9, "predicted_n": 63, "predicted_ms": 333.2, "predicted_per_token_ms": 5.289, "predicted_per_second": 189.1, "draft_n": 51, "draft_n_accepted": 46}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 0.834027, "first_delta": {"offset_s": 0.511131, "kind": "reasoning"}, "first_answer_offset_s": 0.667482, "client_events": [[0.511131, "reasoning"], [0.529101, "reasoning"], [0.529131, "reasoning"], [0.529172, "reasoning"], [0.546974, "reasoning"], [0.547004, "reasoning"], [0.54705, "reasoning"], [0.56497, "reasoning"], [0.564992, "reasoning"], [0.565042, "reasoning"], [0.583056, "reasoning"], [0.583077, "reasoning"], [0.583124, "reasoning"], [0.583163, "reasoning"], [0.601501, "reasoning"], [0.601526, "reasoning"], [0.612809, "reasoning"], [0.631222, "reasoning"], [0.63126, "reasoning"], [0.631292, "reasoning"], [0.667482, "tool_call"], [0.667513, "tool_call"], [0.704751, "tool_call"], [0.704779, "tool_call"], [0.70481, "tool_call"], [0.722894, "tool_call"], [0.722922, "tool_call"], [0.760616, "tool_call"], [0.760647, "tool_call"], [0.760658, "tool_call"], [0.778988, "tool_call"], [0.779027, "tool_call"], [0.833956, "tool_call"], [0.833989, "tool_call"]]} +{"request_id": "sanity-T3", "phase": "sanity", "case_id": "T3", "request": {"stream": true, "stream_options": {"include_usage": true}, "max_tokens": 2048, "seed": 1, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}, "tool_choice": "auto"}, "messages": [{"role": "user", "content": "[case sanity-T3]\nUse convert_units to convert 3 km to m."}], "tools": [{"type": "function", "function": {"name": "convert_units", "description": "Synthetic benchmark lookup; no external action is performed.", "parameters": {"type": "object", "properties": {"value": {"type": "number"}, "from_unit": {"type": "string"}, "to_unit": {"type": "string"}}, "required": ["value", "from_unit", "to_unit"], "additionalProperties": false}}}], "final_answer": "", "reasoning": "The user wants to convert 3 km to m using the convert_units tool.\n", "tool_calls": [{"id": "call_d7391d0b93a3494ebfc507ab", "name": "convert_units", "arguments": "{\"value\":3,\"from_unit\":\"km\",\"to_unit\":\"m\"}"}], "finish_reason": "tool_calls", "usage": {"prompt_tokens": 352, "completion_tokens": 71, "total_tokens": 423, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 352, "prompt_ms": 500.4, "prompt_per_token_ms": 1.422, "prompt_per_second": 703.4, "predicted_n": 71, "predicted_ms": 340.9, "predicted_per_token_ms": 4.801, "predicted_per_second": 208.3, "draft_n": 54, "draft_n_accepted": 52}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 0.845095, "first_delta": {"offset_s": 0.514439, "kind": "reasoning"}, "first_answer_offset_s": 0.642553, "client_events": [[0.514439, "reasoning"], [0.532569, "reasoning"], [0.532599, "reasoning"], [0.532639, "reasoning"], [0.532677, "reasoning"], [0.55049, "reasoning"], [0.550511, "reasoning"], [0.550564, "reasoning"], [0.550603, "reasoning"], [0.568907, "reasoning"], [0.568928, "reasoning"], [0.568985, "reasoning"], [0.569026, "reasoning"], [0.587697, "reasoning"], [0.587731, "reasoning"], [0.587765, "reasoning"], [0.587805, "reasoning"], [0.642553, "tool_call"], [0.642583, "tool_call"], [0.678867, "tool_call"], [0.733868, "tool_call"], [0.733897, "tool_call"], [0.733908, "tool_call"], [0.733947, "tool_call"], [0.790318, "tool_call"], [0.790347, "tool_call"], [0.790358, "tool_call"], [0.808429, "tool_call"], [0.845035, "tool_call"], [0.845063, "tool_call"]]} +{"request_id": "sanity-T4", "phase": "sanity", "case_id": "T4", "request": {"stream": true, "stream_options": {"include_usage": true}, "max_tokens": 2048, "seed": 1, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}, "tool_choice": "auto"}, "messages": [{"role": "user", "content": "[case sanity-T4]\nUse get_build_status for project Orion, build 17."}], "tools": [{"type": "function", "function": {"name": "get_build_status", "description": "Synthetic benchmark lookup; no external action is performed.", "parameters": {"type": "object", "properties": {"project": {"type": "string"}, "build": {"type": "integer"}}, "required": ["project", "build"], "additionalProperties": false}}}], "final_answer": "", "reasoning": "User asked to use get_build_status for project Orion, build 17. Simple tool call.\n", "tool_calls": [{"id": "call_c9528bc8b8c14b5a81d1bd1d", "name": "get_build_status", "arguments": "{\"project\":\"Orion\",\"build\":17}"}], "finish_reason": "tool_calls", "usage": {"prompt_tokens": 339, "completion_tokens": 64, "total_tokens": 403, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 339, "prompt_ms": 497.6, "prompt_per_token_ms": 1.468, "prompt_per_second": 681.3, "predicted_n": 64, "predicted_ms": 355.5, "predicted_per_token_ms": 5.555, "predicted_per_second": 180.0, "draft_n": 53, "draft_n_accepted": 46}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 0.856772, "first_delta": {"offset_s": 0.511511, "kind": "reasoning"}, "first_answer_offset_s": 0.704879, "client_events": [[0.511511, "reasoning"], [0.527917, "reasoning"], [0.546041, "reasoning"], [0.546071, "reasoning"], [0.564172, "reasoning"], [0.564201, "reasoning"], [0.564242, "reasoning"], [0.56428, "reasoning"], [0.582789, "reasoning"], [0.58281, "reasoning"], [0.582856, "reasoning"], [0.582895, "reasoning"], [0.601219, "reasoning"], [0.601239, "reasoning"], [0.601294, "reasoning"], [0.601318, "reasoning"], [0.612476, "reasoning"], [0.631104, "reasoning"], [0.649458, "reasoning"], [0.649483, "reasoning"], [0.649517, "reasoning"], [0.704879, "tool_call"], [0.704909, "tool_call"], [0.723898, "tool_call"], [0.723927, "tool_call"], [0.742757, "tool_call"], [0.742786, "tool_call"], [0.781564, "tool_call"], [0.781595, "tool_call"], [0.856725, "tool_call"], [0.856742, "tool_call"]]} +{"request_id": "concurrency-r1-c1", "phase": "concurrency", "case_id": "short-burst", "request": {"stream": true, "stream_options": {"include_usage": true}, "max_tokens": 512, "seed": 1, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}}, "messages": [{"role": "user", "content": "[case concurrency-r1-c1]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table finds a value in two main steps:\n\n1. **Hash the key** \n The key is passed through a hash function, which converts it into an array index (a bucket slot).\n\n2. **Look up the bucket** \n The table checks that bucket for the key and its associated value.\n\nIf the key is found, the table returns its value. If not, it may continue searching according to the collision-resolution method, or return “not found.”\n\n### Collisions\n\nA **collision** happens when two different keys hash to the same bucket.\n\nCommon ways to handle collisions:\n\n- **Chaining**: each bucket holds a list of key-value pairs.\n- **Open addressing**: if the bucket is full, try another bucket according to a probe sequence.\n\n### Small example\n\nAssume a hash table uses modulo 7: `index = hash(key) % 7`.\n\nInsert:\n\n```text\nput(\"apple\", 10)\nput(\"banana\", 20)\n```\n\nSuppose:\n\n```text\nhash(\"apple\") % 7 = 2\nhash(\"banana\") % 7 = 2\n```\n\nBoth keys collide in bucket 2, so the table might store:\n\n```text\nbucket 2: [ (\"apple\", 10), (\"banana\", 20) ]\n```\n\nTo find `\"banana\"`:\n\n1. Compute: `hash(\"banana\") % 7 = 2`\n2. Go to bucket 2.\n3. Search the bucket and find `(\"banana\", 20)`.\n4. Return `20`.", "reasoning": "We need answer user: \"Explain how a hash table finds a value, including collisions and one small example. [case concurrency-r1-c1]\" Need likely straightforward explanation. Need final concise but detailed enough. No need concurrency? tag case concurrency-r1-c1 maybe from eval? They ask hash table finds value, collisions, example. Could mention concurrent? No, hash table. Let's craft final.\n", "tool_calls": [], "finish_reason": "stop", "usage": {"prompt_tokens": 78, "completion_tokens": 432, "total_tokens": 510, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 78, "prompt_ms": 258.6, "prompt_per_token_ms": 3.315, "prompt_per_second": 301.6, "predicted_n": 432, "predicted_ms": 4894.4, "predicted_per_token_ms": 11.33, "predicted_per_second": 88.3, "draft_n": 0, "draft_n_accepted": 0}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 5.805006, "first_delta": {"offset_s": 0.920003, "kind": "reasoning"}, "first_answer_offset_s": 1.898834, "client_events": [[0.920003, "reasoning"], [0.938033, "reasoning"], [0.949053, "reasoning"], [0.96064, "reasoning"], [0.971682, "reasoning"], [0.982815, "reasoning"], [0.994409, "reasoning"], [1.005566, "reasoning"], [1.017052, "reasoning"], [1.027885, "reasoning"], [1.038972, "reasoning"], [1.050546, "reasoning"], [1.061887, "reasoning"], [1.072932, 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1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}}, "messages": [{"role": "user", "content": "[case concurrency-r1-c2]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table finds a value in roughly these steps:\n\n1. **Start with a key** \n For example, the key might be `\"apple\"`.\n\n2. **Hash the key** \n A hash function turns the key into an integer, such as `17`.\n\n3. **Convert to a bucket index** \n If the table has size `10`, compute:\n\n ```text\n index = 17 % 10 = 7\n ```\n\n So the table looks in bucket `7`.\n\n4. **Look in that bucket** \n If the bucket contains a key-value pair, it checks whether the stored key matches the search key.\n\n5. **Return the value if the key matches** \n For example, if bucket `7` contains:\n\n ```text\n (\"apple\", 3)\n ```\n\n and you search for `\"apple\"`, the hash table returns `3`.\n\n## Collisions\n\nA collision happens when two different keys hash to the same bucket.\n\nFor example:\n\n```text\nhash(\"apple\") % 10 = 7\nhash(\"banana\") % 10 = 7\n```\n\nBoth `\"apple\"` and `\"banana\"` map to bucket `7`.\n\nCommon ways to handle collisions:\n\n- **Separate chaining**: each bucket stores a list of entries.\n- **Open addressing**: if the bucket is full, the table checks another bucket, such as the next one.\n\n## Small example\n\nUsing separate chaining, the table might look like this:\n\n```text\nbucket 7:\n (\"apple\", 3)\n (\"banana\", 5)\n\nbucket 8:\n (\"cherry\", 7)\n```\n\nIf you search for `\"banana\"`:\n\n```text\nhash(\"banana\") % 10 = 7\ngo to bucket 7\ncheck entries:\n \"apple\" does not match\n \"banana\" matches\nreturn 5\n```\n\nSo the value for `\"banana\"` is `5`.", "reasoning": "We need answer user: \"Explain how a hash table finds a value, including collisions and one small example.\n\nNeed provide concise but clear. 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"seed": 3, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}}, "messages": [{"role": "user", "content": "[case concurrency-r1-c3]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table stores key-value pairs by converting each key into an index into an array using a hash function.\n\n### How lookup works\n\n1. The hash table receives a key, e.g. `\"apple\"`.\n2. It passes the key to a hash function.\n3. The hash function produces a number.\n4. That number is mapped to a table index, often using modulo.\n5. The hash table goes to that index and checks the stored key.\n6. If the stored key matches, it returns the associated value.\n\n### Collisions\n\nA collision happens when two different keys hash to the same index.\n\nExample: both `\"apple\"` and `\"banana\"` might hash to index `2`.\n\nCommon collision handling methods include:\n\n- **Chaining**: each index stores a linked list or another collection of entries.\n- **Open addressing**: if the slot is occupied, the table searches for another slot using a probe sequence.\n\n### Small example\n\nSuppose the table size is 3 and we use a simple hash:\n\n```text\nhash(key) = length(key) % 3\n```\n\nInsert:\n\n```text\n\"hi\" -> length 2 -> index 2: value 1\n\"dog\" -> length 3 -> index 0: value 2\n\"cat\" -> length 3 -> index 0: value 3\n```\n\nNow index 0 contains both `\"dog\"` and `\"cat\"`. This is a collision.\n\nIf using chaining, index 0 might look like:\n\n```text\n0: [\"dog\" -> 2, \"cat\" -> 3]\n1: empty\n2: [\"hi\" -> 1]\n```\n\nLookup `\"cat\"`:\n\n```text\nhash(\"cat\") = 3 % 3 = 0\n```\n\nGo to index 0, scan the chain, find key `\"cat\"`, return value `3`.", "reasoning": "We need answer user: \"Explain how a hash table finds a value, including collisions and one small example.\" Simple explanation. Need final concise but complete. Include hash, index, buckets, collisions (chaining or open addressing), small example. Case concurrency-r1-c3 maybe irrelevant. Need maybe avoid concurrency? Could mention thread safety? Not asked. Just explain. 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"temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}}, "messages": [{"role": "user", "content": "[case concurrency-r1-c4]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table finds a value by converting a key into an index using a **hash function**, then checking that index for the stored value.\n\n### How it works\n1. **Hash the key**\n - Example key: `\"apple\"`\n - A hash function computes something like `hash(\"apple\") = 12`.\n\n2. **Map to a bucket/index**\n - If the table has size 8, use:\n ```text\n 12 % 8 = 4\n ```\n - So look in bucket 4.\n\n3. **Compare the stored key**\n - If bucket 4 contains a pair like `(\"apple\", 10)`, and the key matches, return `10`.\n\n### Collisions\nA **collision** happens when two different keys hash to the same index.\n\nExample:\n```text\nhash(\"apple\") % 8 = 4\nhash(\"banana\") % 8 = 4\n```\n\nIf both need to be stored at index 4, the hash table must handle the collision.\n\nCommon methods:\n- **Separate chaining**: each bucket holds a list of key/value pairs.\n- **Open addressing**: if the bucket is full, try another bucket according to a probing rule.\n\n### Small example with chaining\nAssume hash table size 8 and collisions use chains.\n\nInsert:\n```text\n(\"apple\", 10)\n(\"banana\", 20)\n```\n\nSuppose both hash to bucket 4.\n\nTable bucket 4 becomes:\n\n```text\n4: (\"apple\", 10) -> (\"banana\", 20)\n```\n\nNow search for `\"banana\"`:\n1. Compute hash: `hash(\"banana\") % 8 = 4`\n2. Go to bucket 4.\n3. Check `\"apple\"` — not a match.\n4. Check `\"banana\"` — match.\n5. Return `20`.\n\nSo a hash table finds values quickly by hashing to a", "reasoning": "We need to answer user's request: \"[case concurrency-r1-c4] Explain how a hash table finds a value, including collisions and one small example.\" Need likely concise but explanatory. Need final answer. Could maybe mention not concurrency? The case tag perhaps from some benchmark? Maybe just answer. Need include collisions and small example. Maybe also note open addressing vs chaining. 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to the key:\n\n ```text\n index = hash(key) % table_size\n ```\n\n2. **Look at the slot/bucket** \n It goes to the computed index.\n\n3. **Compare the key** \n If that bucket contains a key, it compares the stored key with the search key.\n - If the keys match, return the associated value.\n - If not, handle the collision.\n\n4. **Collision handling** \n A collision happens when different keys hash to the same index.\n\n Common solutions:\n\n - **Chaining**: each bucket contains a list of entries. \n The search traverses that list and compares keys.\n - **Open addressing**: if the first slot is occupied, probe another slot, such as the next index.\n\n**Small example**", "reasoning": "We need answer user: \"Explain how a hash table finds a value, including collisions and one small example. We need respond final with explanation. Need probably concise but detailed. Topic concurrency-r2-c1? Could hint concurrency? Maybe case id. But user just asks hash table finds value including collisions and example. Need likely mention concurrency? The case concurrency-r2-c1 maybe from benchmark expects mention race conditions? Let's think.\n\nNeed ensure answer covers:\n- key hashed to index via hash function and array size.\n- if empty return null/not found.\n- if occupied, compare keys; if match return value.\n- collisions: same index different keys; resolve via chaining (linked list) or open addressing (probe). If chaining: traverse bucket. If open addressing: linear/quadratic/double hash until key found or empty marker.\n- small example: table size 5, hash(k)=k%5. Insert keys 12 (vA), 17 (vB) both index2; find 17 checks 12 not match then 17 match. Need mention concurrency? Given case concurrency-r2-c1 maybe expect concurrency risk? If multiple threads insert/find concurrently without synchronization, data races can cause corrupted lists/probes, inconsistent results. But user didn't explicitly ask. Could add small note: in concurrent hash table, need locking/atomic/CAS.\n\nNeed final in natural language.\n", "tool_calls": [], "finish_reason": "length", "usage": {"prompt_tokens": 78, "completion_tokens": 512, "total_tokens": 590, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 78, "prompt_ms": 269.0, "prompt_per_token_ms": 3.449, "prompt_per_second": 290.0, "predicted_n": 512, "predicted_ms": 6630.6, "predicted_per_token_ms": 12.95, "predicted_per_second": 77.2, "draft_n": 0, "draft_n_accepted": 0}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 6.908564, "first_delta": {"offset_s": 0.286391, "kind": "reasoning"}, "first_answer_offset_s": 4.221705, "client_events": [[0.286391, "reasoning"], [0.300559, "reasoning"], [0.320984, "reasoning"], [0.886458, "reasoning"], [0.897764, "reasoning"], [0.908592, "reasoning"], [0.919587, "reasoning"], [0.930925, "reasoning"], [0.942369, "reasoning"], [0.953158, "reasoning"], 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"messages": [{"role": "user", "content": "[case concurrency-r2-c2]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table finds a value by turning the key into an array index using a hash function.\n\n**Steps:**\n\n1. **Hash the key:** \n The key is passed through a hash function, producing a number.\n\n Example: \n `hash(\"apple\") = 7`\n\n2. **Map to a bucket/index:** \n The hash value is converted into an array index, often using modulo.\n\n Example, with table size 10: \n `7 % 10 = 7`\n\n3. **Look at that bucket:** \n - If the bucket is empty, the key is not present.\n - If a key is stored there, compare it with the requested key.\n - If it matches, return the value.\n\n**Collisions:**\n\nA collision happens when two different keys hash to the same index.\n\nFor example:\n\n```text\nhash(\"apple\") = 7\nhash(\"banana\") = 17\n```\n\nWith table size 10:\n\n```text\n7 % 10 = 7\n17 % 10 = 7\n```\n\nBoth map to index 7.\n\nCommon ways to handle collisions:\n\n- **Chaining:** each bucket contains a small list of key-value pairs.\n- **Open addressing:** if a slot is taken, try another slot using a probing rule.\n\n**Small example using chaining:**\n\n```text\ntable[7] -> \"apple\": 5\n \"banana\": 9\n```\n\nTo find `\"banana\"`:\n\n1. 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"[case concurrency-r2-c3]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table finds a value by converting its key into an index and then looking in the bucket stored at that index.\n\n### Steps\n\n1. **Hash the key** \n The hash table takes the key and passes it through a hash function.\n\n Example:\n\n ```text\n hash(\"apple\") → 3\n ```\n\n2. **Use the hash to choose a bucket** \n The result is mapped to a position in an array.\n\n ```text\n bucket index = hash(key) % table_size\n ```\n\n3. **Look in that bucket** \n The table checks the bucket at that index for the value.\n\n4. **Compare keys to find the right value** \n A bucket may contain more than one key, so after hashing, the hash table compares the stored key with the requested key to make sure it returns the correct value.\n\n---\n\n## Collisions\n\nA **collision** happens when two different keys produce the same bucket index.\n\nFor example:\n\n```text\nhash(\"apple\") = 3\nhash(\"banana\") = 3\n```\n\nBoth keys want to go into bucket `3`.\n\nHash tables handle collisions using methods such as:\n\n- **Chaining:** each bucket stores a list of key-value pairs.\n- **Open addressing:** if a bucket is full, the table checks another slot according to a probing rule.\n\n---\n\n## Small example using chaining\n\nSuppose the hash table size is `5`, and the hash function is:\n\n```text\nindex = len(key) % 5\n```\n\nInsert:\n\n```text\n\"cat\" → 3\n\"dog\" → 3\n\"bird\" → 4\n```\n\nThe table looks like this:\n\n```text\n0:\n1:\n2:\n3: (\"cat\" → 10), (\"dog\" → 20)\n4: (\"bird\" → 30)\n```\n\nNow find the value for `\"dog\"`.\n\n1. 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[6.915059, "answer"], [6.926549, "answer"]]} +{"request_id": "concurrency-r2-c4", "phase": "concurrency", "case_id": "short-burst", "request": {"stream": true, "stream_options": {"include_usage": true}, "max_tokens": 512, "seed": 8, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}}, "messages": [{"role": "user", "content": "[case concurrency-r2-c4]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table finds a value by turning a key into a table index.\n\n1. **Hash the key**\n - The key is passed through a hash function, producing a number.\n - That number is mapped to a bucket index, usually with modulo:\n \\[\n index = hash(key) \\bmod tableSize\n \\]\n\n2. **Go to the bucket**\n - The table goes directly to the bucket at that index.\n\n3. **Check for the key**\n - If the bucket contains an entry, it compares the stored key with the searched", "reasoning": "We need answer user: \"[case concurrency-r2-c4]\nExplain how a hash table finds a value, including collisions and one small example.\"\n\nNeed produce final answer. Need maybe consider concurrency tag? case concurrency-r2-c4 maybe perhaps test case for concurrency? The request just asks explain hash table finds value including collisions and example. Could include concurrency? The tag says concurrency-r2-c4 but user didn't ask concurrency explicitly. Maybe they expect simple explanation? The case ID maybe benchmark. We should answer concise but thorough. Need include steps: hash key -> index, check bucket, collisions handled by chaining or open addressing, example. Maybe mention lock/concurrency? Since tag includes concurrency maybe maybe include note about concurrent access? But user asks hash table finds a value, collisions, example. Could mention that in concurrent setting need locks/atomic read? Maybe optional. Let's craft final with clear steps and example. Use key-value. Example: keys \"apple\" hash mod 4 etc. Hash table find: compute hash(key), mod table size, examine slot. If occupied and matches key return value; if collision: if chaining walk linked list; if open addressing probe next. Example with collision: table size 4, hash: int('a')%4=1? Need example. Use h(key)=first letter position mod 4: \"apple\" A=1, \"ant\" A=1. Buckets: 1: apple->banana? Wait if insert apple first then ant. Find ant: h=1, compare apple not equal, next ant match return. Also mention load factor, O(1) average. If concurrent, add read lock or concurrent map. Need answer maybe include case? No need. Final. Ensure not too short? Desired oververbosity 9, but user asks simple. Could include bullets, pseudocode, example table. 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{"stream": true, "stream_options": {"include_usage": true}, "max_tokens": 512, "seed": 9, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}}, "messages": [{"role": "user", "content": "[case concurrency-r3-c1]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table finds a value by using the key’s hash code to locate a bucket, then searching inside that bucket for the exact key.\n\n**Lookup steps:**\n\n1. **Hash the key** \n Compute a hash code from the key, e.g. `hash(\"apple\")`.\n\n2. **Map to a bucket index** \n Convert the hash code to a table index, often using modulo:\n `index = hash(key) % table_size`\n\n3. **Go to that bucket** \n Check the bucket at that index.\n\n4. **Handle collisions** \n If multiple keys hash to the same bucket, the table uses a collision strategy:\n - **Chaining:** the bucket stores a linked list or small array of entries; search through it.\n - **Open addressing:** if the bucket is occupied, probe for another slot using a rule such as linear probing.\n\n5. **Compare keys** \n In the matching bucket/probe sequence, compare stored keys to the requested key. If found, return the associated value. If not found after checking the collision chain/probe sequence, return “not found.”\n\n**Small example:**\n\nTable size: 5\n\n```text\nInsert:\n\"apple\" -> 10 hash(\"apple\") % 5 = 2\n\"banana\" -> 20 hash(\"banana\") % 5 = 2\n```\n\nBoth hash to index 2, so there is a collision. With chaining:\n\n```text\nindex 2 -> [(\"banana\", 20), (\"apple\", 10)]\n```\n\nLookup:\n\n```text\nget(\"apple\")\nhash(\"apple\") % 5 = 2\ncheck index 2\ncompare keys:\n \"banana\" != \"apple\"\n \"apple\" == \"apple\"\nreturn 10\n```", "reasoning": "We need answer user: \"Explain how a hash table finds a value, including collisions and one small example. [case concurrency-r3-c1]\" Need provide concise but complete. done. Now final. Need maybe include lookup steps: hash key, index, bucket, collisions via chaining/open addressing, compare keys. Small example. Concurrency tag? \"case concurrency-r3-c1\" maybe they expect something about concurrency? User only asks hash table finds value including collisions. Could mention concurrent access if relevant? Maybe case identifier only. Keep focused. Need explain. 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true}}, "messages": [{"role": "user", "content": "[case concurrency-r3-c2]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table finds a value in roughly these steps:\n\n1. **Hash the key** \n The key is passed through a hash function to produce an integer hash value.\n\n2. **Map to a bucket index** \n That hash is reduced to an array index, often with something like:\n\n ```text\n index = hash(key) % table_size\n ```\n\n3. **Look in that bucket** \n The table checks the entry or entries stored at that index.\n\n4. **Compare keys** \n If a stored entry’s key equals the requested key, the table returns its value. \n If not, and collisions are handled properly, the table continues searching.\n\n## Handling collisions\n\nA **collision** happens when two different keys hash to the same", "reasoning": "We need answer user: \"[case concurrency-r3-c2]\nExplain how a hash table finds a value, including collisions and one small example.\"\n\nNeed produce final answer. Need likely address concurrency? The tag case concurrency-r3-c2 maybe expected mention concurrency? User asks explain hash table finds value, collisions, small example. Could include thread-safety? The case id might be from some eval maybe wants concise explanation. Need ensure correct. Maybe mention lookup: hash key -> index, compare keys, if collision use chaining or open addressing. Concurrency? Since tag says concurrency, perhaps include how concurrent access affects finds? But prompt: Explain how hash table finds value, including collisions and one small example. Could add \"in concurrent setting, lookups may need read locks/atomic/concurrent maps\". Need not overdo. Let's craft clear answer.\n\nFinal: steps: 1 compute hash, 2 mod/array index, 3 bucket, 4 if entry key equals target return value, if no entry return missing. Collisions: different keys same index; strategies: separate chaining (linked list/array of buckets) or open addressing (linear probing etc.) to find next slot or chain entry. Example: capacity 4 hash(key)=key%4; keys 25->1, 9->1 collision; chain: bucket 1: key25 val \"Alice\", key9 val \"Bob\". lookup 9: hash=1, traverse chain, match 9 return Bob. Concurrency note: if other threads may insert/delete, lookup requires appropriate synchronization (e.g., read-write lock or concurrent hash map's volatile/atomic references) so it doesn't observe inconsistent bucket state.\n", "tool_calls": [], "finish_reason": "length", "usage": {"prompt_tokens": 78, "completion_tokens": 512, "total_tokens": 590, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 78, "prompt_ms": 252.9, "prompt_per_token_ms": 3.242, "prompt_per_second": 308.4, "predicted_n": 512, "predicted_ms": 6081.1, "predicted_per_token_ms": 11.877, "predicted_per_second": 84.2, "draft_n": 0, "draft_n_accepted": 0}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 6.950285, "first_delta": {"offset_s": 0.878639, "kind": "reasoning"}, "first_answer_offset_s": 4.851224, "client_events": [[0.878639, "reasoning"], [0.894037, "reasoning"], [0.905891, "reasoning"], [0.917127, "reasoning"], [0.928216, "reasoning"], [0.939374, 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"short-burst", "request": {"stream": true, "stream_options": {"include_usage": true}, "max_tokens": 512, "seed": 11, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}}, "messages": [{"role": "user", "content": "[case concurrency-r3-c3]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table finds a value by first hashing the key to determine where to look.\n\nExample: table size 8.\n\n1. Compute `index = hash(key) % 8`\n2. Go to that bucket.\n3. Check the stored key(s) in that bucket.\n4. If the key matches, return the associated value.\n\nIf two keys hash to the same index, that is a collision. Common handling:\n\n- Chaining: each bucket stores a linked list or array of entries.\n- Open addressing: probe nearby slots until an empty or matching slot is found.\n\nSmall example using chaining:\n\n```text\nput(\"apple\", 10) hash(\"apple\") % 8 = 3\nput(\"banana\", 20) hash(\"banana\") % 8 = 3\n```\n\nBucket 3:\n\n```text\n[ \"apple\" -> 10 ] -> [ \"banana\" -> 20 ]", "reasoning": "We need answer user: \"[case concurrency-r3-c3] Explain how a hash table finds a value, including collisions and one small example.\" Need likely concise but detailed. Need final only. Need maybe mention concurrency? The tag concurrency-r3-c3 maybe benchmark case? But request generic hash table finds value. Could mention concurrent? It says case concurrency maybe expects concurrency-related? Let's parse: \"[case concurrency-r3-c3] Explain how a hash table finds a value, including collisions and one small example.\" Maybe they want hash table lookup under concurrency? Hmm tag might be from evaluation requiring certain style? The prompt simple. Need explain how hash table finds a value, including collisions and small example. Could mention open addressing vs chaining. Since concurrency tag, maybe include read concurrency? \"In a concurrent hash table, readers may see published entries via memory barrier or locks; lookup follows same path but must acquire appropriate lock/version check\" But user doesn't ask concurrency explicitly except tag. We should likely answer core and add note about concurrency briefly. Need avoid overdoing. Include steps: hash key -> index -> bucket -> compare keys -> if collision traverse chain/probe. Small example: hash table size 8, hash(k) mod 8, put \"apple\" hash 3, \"banana\" hash 3, lookup banana: hash=3, bucket linked list [apple, banana], compare, match. Collisions handled by chaining or probing. Concurrency note: with locks/CHM. 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collisions and one small example."}], "tools": null, "final_answer": "A hash table finds a value by using the **key** to compute a location in an internal array, then checking that location for the matching key/value pair.\n\n## How lookup works\n\n1. **Hash the key**\n - The hash table applies a hash function to the key to produce an integer hash code.\n\n Example:\n\n ```text\n hash(\"apple\") = 17\n ```\n\n2. **Map the hash code to an index**\n - The hash table converts that integer into an array index.\n\n Example:\n\n ```text\n index = hash(key) % table_size\n ```\n\n If the table size is 7:\n\n ```text", "reasoning": "We need answer user: \"Explain how a hash table finds a value, including collisions and one small example. [case concurrency-r3-c4]\"\n\nNeed provide concise but thorough explanation. Include how hash table finds value: hash key to index, bucket, equality check, collisions handling (separate chaining or open addressing), load factor/rehash maybe. Small example. Case concurrency? Maybe irrelevant tag? Could mention concurrency? User didn't ask. Need maybe \"case concurrency-r3-c4\" perhaps test label. Need final only.\n\nNeed ensure not too verbose? Desired oververbosity 9. So detailed. No need citations. Let's craft with example: keys: \"apple\"->1, \"banana\"->2. hash mod 7: apple h=3, banana h=3 collision. If separate chaining bucket3 has (apple,1)->(banana,2). Find banana: hash to 3, scan chain compare key banana, return 2. If open addressing linear probing, probe next slots.\n\nMention get procedure:\n1 compute hash function\n2 index = hash(key) % capacity\n3 access bucket\n4 if chaining scan entries; if open addressing probe until empty or match\n5 compare keys, return value. If no match return not found.\nCollisions: same index. Must preserve lookup. Also if table resized, hash modulo changes.\n\nCould mention deterministic hash, immutable key, equality. Concurrency? Since tag concurrency, maybe mention thread safety: concurrent hash table may lock bucket/segment for get or use atomic reads; not required. The user only asks hash table finds value. 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[10.511737, "answer"], [10.530499, "answer"], [10.530545, "answer"], [10.530586, "answer"], [10.530622, "answer"], [10.547462, "answer"], [10.547508, "answer"], [10.547548, "answer"], [10.565912, "answer"], [10.565957, "answer"], [10.58036, "answer"], [10.580406, "answer"], [10.598905, "answer"], [10.617692, "answer"], [10.637171, "answer"], [10.637218, "answer"], [10.637261, "answer"], [10.655761, "answer"], [10.655803, "answer"], [10.655841, "answer"], [10.674912, "answer"], [10.674966, "answer"], [10.675007, "answer"], [10.675039, "answer"], [10.694248, "answer"], [10.694294, "answer"], [10.694336, "answer"], [10.694373, "answer"], [10.713151, "answer"], [10.732904, "answer"], [10.73295, "answer"], [10.751627, "answer"], [10.751674, "answer"], [10.751715, "answer"], [10.751751, "answer"], [10.770938, "answer"], [10.770983, "answer"], [10.771019, "answer"], [10.789414, "answer"], [10.789459, "answer"], [10.7895, "answer"], [10.808782, "answer"], [10.808848, "answer"], [10.808908, "answer"], [10.828301, "answer"], [10.828348, "answer"], [10.828387, "answer"], [10.84239, "answer"], [10.857063, "answer"], [10.85711, "answer"], [10.876558, "answer"], [10.876615, "answer"], [10.893123, "answer"], [10.893168, "answer"], [10.893211, "answer"], [10.909845, "answer"], [10.909898, "answer"], [10.929207, "answer"], [10.929279, "answer"], [10.929319, "answer"], [10.947719, "answer"], [10.947788, "answer"], [10.947828, "answer"], [10.96655, "answer"], [10.966595, "answer"], [10.966631, "answer"], [10.985696, "answer"], [10.985743, "answer"], [10.985784, "answer"], [11.005598, "answer"], [11.005666, "answer"], [11.005705, "answer"], [11.025003, "answer"], [11.044905, "answer"], [11.044959, "answer"], [11.044991, "answer"], [11.045024, "answer"], [11.063608, "answer"], [11.063656, "answer"], [11.063694, "answer"], [11.08278, "answer"], [11.082853, "answer"], [11.082909, "answer"], [11.101655, "answer"]]} diff --git a/bench/results/2026-11-08-standard-4x-rtx-3090-8be2bf4a/provenance/chat_template.jinja b/bench/results/2026-11-08-standard-4x-rtx-3090-8be2bf4a/provenance/chat_template.jinja new file mode 100644 index 00000000000..a0877006589 --- /dev/null +++ b/bench/results/2026-11-08-standard-4x-rtx-3090-8be2bf4a/provenance/chat_template.jinja @@ -0,0 +1,184 @@ +{%- set image_count = namespace(value=0) %} +{%- set video_count = namespace(value=0) %} +{%- macro render_content(content, do_vision_count, is_system_content=false) %} + {%- if content is string %} + {{- content }} + {%- elif content is iterable and content is not mapping %} + {%- for item in content %} + {%- if 'image' in item or 'image_url' in item or item.type == 'image' %} + {%- if is_system_content %} + {{- raise_exception('System message cannot contain images.') }} + {%- endif %} + {%- if do_vision_count %} + {%- set image_count.value = image_count.value + 1 %} + {%- endif %} + {%- if add_vision_id %} + {{- 'Picture ' ~ image_count.value ~ ': ' }} + {%- endif %} + {{- '<|vision_start|><|image_pad|><|vision_end|>' }} + {%- elif 'video' in item or item.type == 'video' %} + {%- if is_system_content %} + {{- raise_exception('System message cannot contain videos.') }} + {%- endif %} + {%- if do_vision_count %} + {%- set video_count.value = video_count.value + 1 %} + {%- endif %} + {%- if add_vision_id %} + {{- 'Video ' ~ video_count.value ~ ': ' }} + {%- endif %} + {{- '<|vision_start|><|video_pad|><|vision_end|>' }} + {%- elif 'text' in item %} + {{- item.text }} + {%- else %} + {{- raise_exception('Unexpected item type in content.') }} + {%- endif %} + {%- endfor %} + {%- elif content is none or content is undefined %} + {{- '' }} + {%- else %} + {{- raise_exception('Unexpected content type.') }} + {%- endif %} +{%- endmacro %} +{%- if not messages %} + {{- raise_exception('No messages provided.') }} +{%- endif %} +{%- set sysns = namespace(count=0, text='') %} +{%- for message in messages %} + {%- if sysns.count == loop.index0 and (message.role == 'system' or message.role == 'developer') %} + {%- set sys_content = render_content(message.content, false, true)|trim %} + {%- if sys_content %} + {%- set sysns.text = sysns.text + ('\n' if sysns.text else '') + sys_content %} + {%- endif %} + {%- set sysns.count = sysns.count + 1 %} + {%- endif %} +{%- endfor %} +{%- set num_sys = sysns.count %} +{%- set merged_system = sysns.text %} +{%- set reasoning_instructions = '' %} +{%- if enable_thinking is undefined or enable_thinking is true %} + {%- set resolved_reasoning_effort = reasoning_effort|default('xhigh') %} + {%- if resolved_reasoning_effort == 'high' %} + {%- set resolved_reasoning_effort = 'xhigh' %} + {%- endif %} + {%- if resolved_reasoning_effort not in ('xhigh', 'medium', 'low') %} + {{- raise_exception('Unexpected reasoning effort ' ~ reasoning_effort ~ '. Supported types are xhigh (default), medium, and low.') }} + {%- endif %} + {%- if resolved_reasoning_effort == 'xhigh' %} + {%- set reasoning_instructions = 'Reasoning effort is set to xhigh. Please think carefully through the task, validate key assumptions, consider plausible alternatives, and prioritize correctness, consistency, and clarity in the final answer.' %} + {%- elif resolved_reasoning_effort == 'low' %} + {%- set reasoning_instructions = 'Reasoning effort is set to low. Keep your thinking brief and focused, moving directly to the conclusion without unnecessary elaboration.' %} + {%- endif %} +{%- endif %} +{%- if tools and tools is iterable and tools is not mapping %} + {{- '<|im_start|>system\n' }} + {%- if reasoning_instructions %} + {{- reasoning_instructions + '\n\n' }} + {%- endif %} + {{- "# Tools\n\nYou have access to the following functions:\n\n" }} + {%- for tool in tools %} + {{- "\n" }} + {{- tool | tojson }} + {%- endfor %} + {{- "\n" }} + {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n\n\n\nvalue_1\n\n\nThis is the value for the second parameter\nthat can span\nmultiple lines\n\n\n\n\n\nReminder:\n- Function calls MUST follow the specified format: an inner block must be nested within XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n' }} + {%- if merged_system %} + {{- '\n\n' + merged_system }} + {%- endif %} + {{- '<|im_end|>\n' }} +{%- else %} + {%- if merged_system %} + {{- '<|im_start|>system\n' + (reasoning_instructions + '\n\n' if reasoning_instructions else '') + merged_system + '<|im_end|>\n' }} + {%- elif reasoning_instructions %} + {{- '<|im_start|>system\n' + reasoning_instructions + '<|im_end|>\n' }} + {%- endif %} +{%- endif %} +{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %} +{%- for message in messages[::-1] %} + {%- set index = (messages|length - 1) - loop.index0 %} + {%- if ns.multi_step_tool and message.role == "user" %} + {%- set content = render_content(message.content, false)|trim %} + {%- if not(content.startswith('') and content.endswith('')) %} + {%- set ns.multi_step_tool = false %} + {%- set ns.last_query_index = index %} + {%- endif %} + {%- endif %} +{%- endfor %} +{%- for message in messages %} + {%- if loop.index0 >= num_sys %} + {%- set content = render_content(message.content, true)|trim %} + {%- if message.role == "system" or message.role == "developer" %} + {{- raise_exception('System message must be at the beginning.') }} + {%- elif message.role == "user" %} + {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }} + {%- elif message.role == "assistant" %} + {%- set reasoning_content = '' %} + {%- if message.reasoning_content is string %} + {%- set reasoning_content = message.reasoning_content %} + {%- endif %} + {%- set reasoning_content = reasoning_content|trim %} + {%- if preserve_thinking is undefined or preserve_thinking is true or loop.index0 > ns.last_query_index %} + {{- '<|im_start|>' + message.role + '\n\n' + reasoning_content + '\n\n\n' + content }} + {%- else %} + {{- '<|im_start|>' + message.role + '\n' + content }} + {%- endif %} + {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %} + {%- for tool_call in message.tool_calls %} + {%- if tool_call.function is defined %} + {%- set tool_call = tool_call.function %} + {%- endif %} + {%- if tool_call.name is not defined or tool_call.name is none %} + {{- raise_exception('Tool call is missing a function name.') }} + {%- endif %} + {%- if loop.first %} + {%- if content|trim %} + {{- '\n\n\n\n' }} + {%- else %} + {{- '\n\n' }} + {%- endif %} + {%- else %} + {{- '\n\n\n' }} + {%- endif %} + {%- if tool_call.arguments is mapping %} + {%- for args_name, args_value in tool_call.arguments|items %} + {{- '\n' }} + {%- set args_value = args_value | string if args_value is string else args_value | tojson | safe %} + {{- args_value }} + {{- '\n\n' }} + {%- endfor %} + {%- elif tool_call.arguments is string %} + {%- if tool_call.arguments|trim %} + {{- raise_exception('Tool call arguments for function "' + (tool_call.name | string) + '" were passed as a JSON string. Parse them into an object before calling apply_chat_template.') }} + {%- endif %} + {%- elif tool_call.arguments is defined and tool_call.arguments is not none %} + {{- raise_exception('Tool call arguments for function "' + (tool_call.name | string) + '" must be an object/mapping or a JSON string.') }} + {%- endif %} + {{- '\n' }} + {%- endfor %} + {%- endif %} + {{- '<|im_end|>\n' }} + {%- elif message.role == "tool" %} + {%- if loop.previtem and loop.previtem.role != "tool" %} + {{- '<|im_start|>user' }} + {%- endif %} + {{- '\n\n' }} + {{- content }} + {{- '\n' }} + {%- if not loop.last and loop.nextitem.role != "tool" %} + {{- '<|im_end|>\n' }} + {%- elif loop.last %} + {{- '<|im_end|>\n' }} + {%- endif %} + {%- else %} + {{- raise_exception('Unexpected message role.') }} + {%- endif %} + {%- endif %} +{%- endfor %} +{%- if add_generation_prompt %} + {{- '<|im_start|>assistant\n' }} + {%- if enable_thinking is defined and enable_thinking is false %} + {{- '\n\n\n\n' }} + {%- else %} + {{- '\n' }} + {%- endif %} +{%- endif %} +{#- Unsloth fixes - developer role, merged system messages, tool calling #} \ No newline at end of file diff --git a/bench/results/2026-11-08-standard-4x-rtx-3090-8be2bf4a/provenance/corpus-build.json b/bench/results/2026-11-08-standard-4x-rtx-3090-8be2bf4a/provenance/corpus-build.json new file mode 100644 index 00000000000..472565694c2 --- /dev/null +++ b/bench/results/2026-11-08-standard-4x-rtx-3090-8be2bf4a/provenance/corpus-build.json @@ -0,0 +1,206 @@ +{ + "protocol_id": "strata-qwen38-thinking-v1-draft.1", + "bundle": "standard-v1", + "profile": "qwen3.8-flash-next-thinking", + "tokenizer_files": { + "vocab.json": "4ba64f0332abcfb0b600b7df1537d1e836e68009d5fb7cdb77339738dc6365c4", + "merges.txt": "080cf95432173729d160346b7882bd2a644b07f7a3813a3eb73f4e66787bfde9", + "token_type.json": "5088c8c298fc06af8382ddb3b76c888703ac2634e82263b97eedcc2ad202738b" + }, + "template": { + "path": "serve/chat_template.jinja", + "sha256": "ae9644304511ef71f28e036b6f65b4c709880bc5a23b7d0b42125ec63a8c70ca" + }, + "template_kwargs": { + "enable_thinking": true, + "preserve_thinking": true, + "reasoning_effort": "xhigh" + }, + "record_format": "record{:06d}: alpha beta gamma delta epsilon zeta eta theta.", + "short_task": "Explain how a hash table finds a value, including collisions and one small example.", + "summary_question": "Summarize the structure of these records and explain how to look up a record by its ID.", + "record_counts": { + "prompt-4k": { + "records": 211, + "target_tokens": 4096 + }, + "prompt-16k": { + "records": 858, + "target_tokens": 16384 + } + }, + "length_tolerance": 0.02, + "requests": [ + { + "id": "warmup", + "input_tokens": 75, + "max_shared_prefix_tokens": 47 + }, + { + "id": "performance-short-r1", + "input_tokens": 77, + "max_shared_prefix_tokens": 50 + }, + { + "id": "performance-prompt-4k-r1", + "input_tokens": 4093, + "max_shared_prefix_tokens": 54 + }, + { + "id": "performance-prompt-16k-r1", + "input_tokens": 16387, + "max_shared_prefix_tokens": 55 + }, + { + "id": "performance-short-r2", + "input_tokens": 77, + "max_shared_prefix_tokens": 50 + }, + { + "id": "performance-prompt-4k-r2", + "input_tokens": 4093, + "max_shared_prefix_tokens": 54 + }, + { + "id": "performance-prompt-16k-r2", + "input_tokens": 16387, + "max_shared_prefix_tokens": 55 + }, + { + "id": "performance-short-r3", + "input_tokens": 77, + "max_shared_prefix_tokens": 50 + }, + { + "id": "performance-prompt-4k-r3", + "input_tokens": 4093, + "max_shared_prefix_tokens": 54 + }, + { + "id": "performance-prompt-16k-r3", + "input_tokens": 16387, + "max_shared_prefix_tokens": 55 + }, + { + "id": "sanity-I1", + "input_tokens": 82, + "max_shared_prefix_tokens": 49 + }, + { + "id": "sanity-I2", + "input_tokens": 90, + "max_shared_prefix_tokens": 49 + }, + { + "id": "sanity-I3", + "input_tokens": 85, + "max_shared_prefix_tokens": 49 + }, + { + "id": "sanity-I4", + "input_tokens": 71, + "max_shared_prefix_tokens": 49 + }, + { + "id": "sanity-R1", + "input_tokens": 4089, + "max_shared_prefix_tokens": 49 + }, + { + "id": "sanity-R2", + "input_tokens": 4089, + "max_shared_prefix_tokens": 49 + }, + { + "id": "sanity-R3", + "input_tokens": 16382, + "max_shared_prefix_tokens": 49 + }, + { + "id": "sanity-R4", + "input_tokens": 16390, + "max_shared_prefix_tokens": 49 + }, + { + "id": "sanity-T1", + "input_tokens": 325, + "max_shared_prefix_tokens": 61 + }, + { + "id": "sanity-T2", + "input_tokens": 335, + "max_shared_prefix_tokens": 62 + }, + { + "id": "sanity-T3", + "input_tokens": 352, + "max_shared_prefix_tokens": 61 + }, + { + "id": "sanity-T4", + "input_tokens": 339, + "max_shared_prefix_tokens": 62 + }, + { + "id": "concurrency-r1-c1", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + }, + { + "id": "concurrency-r1-c2", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + }, + { + "id": "concurrency-r1-c3", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + }, + { + "id": "concurrency-r1-c4", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + }, + { + "id": "concurrency-r2-c1", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + }, + { + "id": "concurrency-r2-c2", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + }, + { + "id": "concurrency-r2-c3", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + }, + { + "id": "concurrency-r2-c4", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + }, + { + "id": "concurrency-r3-c1", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + }, + { + "id": "concurrency-r3-c2", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + }, + { + "id": "concurrency-r3-c3", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + }, + { + "id": "concurrency-r3-c4", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + } + ], + "note": "input_tokens counts the rendered thinking request with the generation prompt. max_shared_prefix_tokens is the longest token prefix this request shares with any other request of the bundle: cache reuse above it means the user payload was read from the cache." +} diff --git a/bench/results/2026-11-08-standard-4x-rtx-3090-8be2bf4a/provenance/corpus-manifest.sha256 b/bench/results/2026-11-08-standard-4x-rtx-3090-8be2bf4a/provenance/corpus-manifest.sha256 new file mode 100644 index 00000000000..3c6046bc54c --- /dev/null +++ b/bench/results/2026-11-08-standard-4x-rtx-3090-8be2bf4a/provenance/corpus-manifest.sha256 @@ -0,0 +1,35 @@ +bc6c1f81d86863c3dc36a31f58010701d8ab05180f69f86c6978214409e43af2 build.json +f724855774dfbea89fade712a70d534a085c88cda6abc123db419fd79eefab49 requests/concurrency-r1-c1.json +2c85f877abbf144ca065c58efc2a7568aaf2c8dc317ad8266e78c149f8245abb requests/concurrency-r1-c2.json +264097f61645a0d5089562dc003b7748b1c20339c2df1290ad6664fc1834068a requests/concurrency-r1-c3.json +65895c5a5fab53c06e9358d88d921f1bfc9dc7cc8b6e8a2521ac90de080ff470 requests/concurrency-r1-c4.json 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"concurrency-r3-c3", + "concurrency-r3-c4" + ], + "excluded": [] + }, + { + "phase": "concurrency", + "case_id": "short-burst", + "concurrency": 4, + "metric": "ttft_s", + "unit": "s", + "median": 0.75253, + "min": 0.286391, + "max": 6.922555, + "n": 12, + "included_request_ids": [ + "concurrency-r1-c1", + "concurrency-r1-c2", + "concurrency-r1-c3", + "concurrency-r1-c4", + "concurrency-r2-c1", + "concurrency-r2-c2", + "concurrency-r2-c3", + "concurrency-r2-c4", + "concurrency-r3-c1", + "concurrency-r3-c2", + "concurrency-r3-c3", + "concurrency-r3-c4" + ], + "excluded": [] + }, + { + "phase": "concurrency", + "case_id": "short-burst", + "concurrency": 4, + "metric": "first_answer_s", + "unit": "s", + "median": 3.229115, + "min": 1.558124, + "max": 10.142387, + "n": 12, + "included_request_ids": [ + "concurrency-r1-c1", + "concurrency-r1-c2", + "concurrency-r1-c3", + "concurrency-r1-c4", + "concurrency-r2-c1", + "concurrency-r2-c2", + "concurrency-r2-c3", + "concurrency-r2-c4", + "concurrency-r3-c1", + "concurrency-r3-c2", + "concurrency-r3-c3", + "concurrency-r3-c4" + ], + "excluded": [] + }, + { + "phase": "concurrency", + "case_id": "short-burst", + "concurrency": 4, + "metric": "total_s", + "unit": "s", + "median": 6.934344, + "min": 5.756392, + "max": 11.101964, + "n": 12, + "included_request_ids": [ + "concurrency-r1-c1", + "concurrency-r1-c2", + "concurrency-r1-c3", + "concurrency-r1-c4", + "concurrency-r2-c1", + "concurrency-r2-c2", + "concurrency-r2-c3", + "concurrency-r2-c4", + "concurrency-r3-c1", + "concurrency-r3-c2", + "concurrency-r3-c3", + "concurrency-r3-c4" + ], + "excluded": [] + } + ], + "concurrency_rounds": [ + { + "round": 1, + "request_ids": [ + "concurrency-r1-c1", + "concurrency-r1-c2", + "concurrency-r1-c3", + "concurrency-r1-c4" + ], + "wall_s": 9.615931, + "output_tokens": 1933, + "aggregate_tps": 201.020577, + "failed": 0 + }, + { + "round": 2, + "request_ids": [ + "concurrency-r2-c1", + "concurrency-r2-c2", + "concurrency-r2-c3", + "concurrency-r2-c4" + ], + "wall_s": 10.706516, + "output_tokens": 1968, + "aggregate_tps": 183.813297, + "failed": 0 + }, + { + "round": 3, + "request_ids": [ + "concurrency-r3-c1", + "concurrency-r3-c2", + "concurrency-r3-c3", + "concurrency-r3-c4" + ], + "wall_s": 11.102406, + "output_tokens": 2048, + "aggregate_tps": 184.464521, + "failed": 0 + } + ], + "quality": { + "passed": 12, + "total": 12, + "categories": { + "instruction": { + "passed": 4, + "total": 4 + }, + "retrieval": { + "passed": 4, + "total": 4 + }, + "tool_call": { + "passed": 4, + "total": 4 + } + } + }, + "artifacts": [ + { + "kind": "outputs", + "path": "outputs.jsonl", + "sha256": "4d5a0f753983103c8fc19252909578c7ecade76db8febf3bd542602d3f388711" + }, + { + "kind": "config", + "path": "config.json", + "sha256": "d5f36980859082e0facda62bdd9c1f43a29703bfcddd7d91dc2efa4952b69f6d" + }, + { + "kind": "provenance", + "path": "provenance/chat_template.jinja", + "sha256": "12827f24b742ea4e80cdc12dbcf9622227056b9f797252a3149263d4f9aaadce" + }, + { + "kind": "provenance", + "path": "provenance/corpus-manifest.sha256", + "sha256": "e75eff8b9feea04f745520b392c4c17d97aefc1ba185e222aa6740efa8f68407" + }, + { + "kind": "provenance", + "path": "provenance/corpus-build.json", + "sha256": "bc6c1f81d86863c3dc36a31f58010701d8ab05180f69f86c6978214409e43af2" + }, + { + "kind": "engine_log", + "path": "engine.log", + "sha256": "246315edcb5ec4e4666197e06a3f5ff71f1d000cad7b1d1b593f05379701cbc8" + }, + { + "kind": "provenance", + "path": "provenance/launch-config.json", + "sha256": "ad76ec1c1bc448ff47e759162ceba982d75b0262e6c506f79bb7c1c4ffec2e9b" + } + ], + "missing": { + "/protocol/model_card_revision": "the profile's model-card revision is not pinned yet (protocol draft)", + "/hardware/background_workloads": "the runner does not inspect other programs; none were declared with --background", + "/model/revision": "not given: the quantization repository's immutable revision cannot be read from the engine; pass --model-revision", + "/model/source_revision": "not given: pass --source-revision", + "/model/tokenizer_revision": "not given: pass --tokenizer-revision", + "/model/custom_pack": "no custom pack or expert profile was declared by the operator (--custom-pack)", + "/requests/0/round": "not applicable outside the concurrency stage", + "/requests/0/error": "none: the request ended normally", + "/requests/0/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/0/evaluation": "not applicable outside the sanity stage", + "/requests/1/round": "not applicable outside the concurrency stage", + "/requests/1/error": "none: the request ended normally", + "/requests/1/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/1/evaluation": "not applicable outside the sanity stage", + "/requests/2/round": "not applicable outside the concurrency stage", + "/requests/2/error": "none: the request ended normally", + "/requests/2/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/2/evaluation": "not applicable outside the sanity stage", + "/requests/3/round": "not applicable outside the concurrency stage", + "/requests/3/error": "none: the request ended normally", + "/requests/3/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/3/evaluation": "not applicable outside the sanity stage", + "/requests/4/round": "not applicable outside the concurrency stage", + "/requests/4/error": "none: the request ended normally", + "/requests/4/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/4/evaluation": "not applicable outside the sanity stage", + "/requests/5/round": "not applicable outside the concurrency stage", + "/requests/5/error": "none: the request ended normally", + "/requests/5/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/5/evaluation": "not applicable outside the sanity stage", + "/requests/6/round": "not applicable outside the concurrency stage", + "/requests/6/error": "none: the request ended normally", + "/requests/6/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/6/evaluation": "not applicable outside the sanity stage", + "/requests/7/round": "not applicable outside the concurrency stage", + "/requests/7/error": "none: the request ended normally", + "/requests/7/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/7/evaluation": "not applicable outside the sanity stage", + "/requests/8/round": "not applicable outside the concurrency stage", + "/requests/8/error": "none: the request ended normally", + "/requests/8/timings/first_answer_s": "no answer text or tool call arrived (reasoning alone does not count)", + "/requests/8/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/8/evaluation": "not applicable outside the sanity stage", + "/requests/9/round": "not applicable outside the concurrency stage", + "/requests/9/error": "none: the request ended normally", + "/requests/9/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/9/evaluation": "not applicable outside the sanity stage", + "/requests/10/round": "not applicable outside the concurrency stage", + "/requests/10/error": "none: the request ended normally", + "/requests/10/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/11/round": "not applicable outside the concurrency stage", + "/requests/11/error": "none: the request ended normally", + "/requests/11/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/12/round": "not applicable outside the concurrency stage", + "/requests/12/error": "none: the request ended normally", + "/requests/12/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/13/round": "not applicable outside the concurrency stage", + "/requests/13/error": "none: the request ended normally", + "/requests/13/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/14/round": "not applicable outside the concurrency stage", + "/requests/14/error": "none: the request ended normally", + "/requests/14/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/15/round": "not applicable outside the concurrency stage", + "/requests/15/error": "none: the request ended normally", + "/requests/15/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/16/round": "not applicable outside the concurrency stage", + "/requests/16/error": "none: the request ended normally", + "/requests/16/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/17/round": "not applicable outside the concurrency stage", + "/requests/17/error": "none: the request ended normally", + "/requests/17/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/18/round": "not applicable outside the concurrency stage", + "/requests/18/error": "none: the request ended normally", + "/requests/18/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/19/round": "not applicable outside the concurrency stage", + "/requests/19/error": "none: the request ended normally", + "/requests/19/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/20/round": "not applicable outside the concurrency stage", + "/requests/20/error": "none: the request ended normally", + "/requests/20/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/21/round": "not applicable outside the concurrency stage", + "/requests/21/error": "none: the request ended normally", + "/requests/21/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/22/error": "none: the request ended normally", + "/requests/22/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/22/evaluation": "not applicable outside the sanity stage", + "/requests/23/error": "none: the request ended normally", + "/requests/23/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/23/evaluation": "not applicable outside the sanity stage", + "/requests/24/error": "none: the request ended normally", + "/requests/24/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/24/evaluation": "not applicable outside the sanity stage", + "/requests/25/error": "none: the request ended normally", + "/requests/25/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/25/evaluation": "not applicable outside the sanity stage", + "/requests/26/error": "none: the request ended normally", + "/requests/26/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/26/evaluation": "not applicable outside the sanity stage", + "/requests/27/error": "none: the request ended normally", + "/requests/27/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/27/evaluation": "not applicable outside the sanity stage", + "/requests/28/error": "none: the request ended normally", + "/requests/28/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/28/evaluation": "not applicable outside the sanity stage", + "/requests/29/error": "none: the request ended normally", + "/requests/29/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/29/evaluation": "not applicable outside the sanity stage", + "/requests/30/error": "none: the request ended normally", + "/requests/30/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/30/evaluation": "not applicable outside the sanity stage", + "/requests/31/error": "none: the request ended normally", + "/requests/31/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/31/evaluation": "not applicable outside the sanity stage", + "/requests/32/error": "none: the request ended normally", + "/requests/32/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/32/evaluation": "not applicable outside the sanity stage", + "/requests/33/error": "none: the request ended normally", + "/requests/33/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/33/evaluation": "not applicable outside the sanity stage" + }, + "extensions": { + "suite": "standard-v1", + "runner": "strata_cli.bench_standard", + "status_reasons": [], + "started_engine": false, + "server_requests_before_run": 0, + "other_engine_options": { + "--pack": "unsloth-ud-iq4_xs", + "--native": "Qwen3.8-Flash-Next-UD-IQ4_XS-00001-of-00003.gguf", + "--max-context": "131072", + "--ple-io": "ram", + "--batch": "3" + }, + "request_checks": { + "warmup": { + "max_shared_prefix_tokens": 47, + "frozen_input_tokens": 75, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "performance-short-r1": { + "max_shared_prefix_tokens": 50, + "frozen_input_tokens": 77, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "performance-prompt-4k-r1": { + "max_shared_prefix_tokens": 54, + "frozen_input_tokens": 4093, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "performance-prompt-16k-r1": { + "max_shared_prefix_tokens": 55, + "frozen_input_tokens": 16387, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "performance-short-r2": { + "max_shared_prefix_tokens": 50, + "frozen_input_tokens": 77, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "performance-prompt-4k-r2": { + "max_shared_prefix_tokens": 54, + "frozen_input_tokens": 4093, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "performance-prompt-16k-r2": { + "max_shared_prefix_tokens": 55, + "frozen_input_tokens": 16387, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "performance-short-r3": { + "max_shared_prefix_tokens": 50, + "frozen_input_tokens": 77, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "performance-prompt-4k-r3": { + "max_shared_prefix_tokens": 54, + "frozen_input_tokens": 4093, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "performance-prompt-16k-r3": { + "max_shared_prefix_tokens": 55, + "frozen_input_tokens": 16387, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-I1": { + "max_shared_prefix_tokens": 49, + "frozen_input_tokens": 82, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-I2": { + "max_shared_prefix_tokens": 49, + "frozen_input_tokens": 90, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-I3": { + "max_shared_prefix_tokens": 49, + "frozen_input_tokens": 85, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-I4": { + "max_shared_prefix_tokens": 49, + "frozen_input_tokens": 71, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-R1": { + "max_shared_prefix_tokens": 49, + "frozen_input_tokens": 4089, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-R2": { + "max_shared_prefix_tokens": 49, + "frozen_input_tokens": 4089, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-R3": { + "max_shared_prefix_tokens": 49, + "frozen_input_tokens": 16382, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-R4": { + "max_shared_prefix_tokens": 49, + "frozen_input_tokens": 16390, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-T1": { + "max_shared_prefix_tokens": 61, + "frozen_input_tokens": 325, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-T2": { + "max_shared_prefix_tokens": 62, + "frozen_input_tokens": 335, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-T3": { + "max_shared_prefix_tokens": 61, + "frozen_input_tokens": 352, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-T4": { + "max_shared_prefix_tokens": 62, + "frozen_input_tokens": 339, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r1-c1": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r1-c2": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r1-c3": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r1-c4": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r2-c1": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r2-c2": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r2-c3": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r2-c4": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r3-c1": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r3-c2": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r3-c3": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r3-c4": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + } + }, + "optional_stage_skipped": false, + "api_key_sent": false + } +} diff --git a/bench/results/2026-11-08-standard-4x-rtx-3090-be712cdc/README.md b/bench/results/2026-11-08-standard-4x-rtx-3090-be712cdc/README.md new file mode 100644 index 00000000000..8dd5211ac7c --- /dev/null +++ b/bench/results/2026-11-08-standard-4x-rtx-3090-be712cdc/README.md @@ -0,0 +1,79 @@ +# Strata standard benchmark: NVIDIA GeForce RTX 3090, NVIDIA GeForce RTX 3090, NVIDIA GeForce RTX 3090, NVIDIA GeForce RTX 3090 + +Protocol `strata-qwen38-thinking-v1-draft.1` (draft), run `20261108T170152Z-be712cdc`, started 2026-11-08T17:01:52Z. **Status: complete.** + +Written by `strata bench run`. The machine-readable result is [results.json](results.json); every request, its raw usage and timings and the client event offsets are in [outputs.jsonl](outputs.jsonl). + +## Hardware and software + +- GPU: NVIDIA GeForce RTX 3090 (24.0 GiB dedicated); NVIDIA GeForce RTX 3090 (24.0 GiB dedicated); NVIDIA GeForce RTX 3090 (24.0 GiB dedicated); NVIDIA GeForce RTX 3090 (24.0 GiB dedicated) +- CPU: AMD Ryzen Threadripper 3990X 64-Core Processor; RAM: 251.5 GiB +- Storage of the model files: nvme CT1000P310SSD8 (nvme) +- OS: Ubuntu 24.04.5 LTS 7.0.0-38-generic; drivers: gpu-driver 580.196.07; runtime: cuda 13.0 +- Strata commit: `146df3c468739147f520ac3816de806f71232571`; engine 0.1.58; source build +- Background work: not measured + +## Model and configuration + +- Model: qwen3.8-flash-next-unsloth-ud-iq4_xs; quantization UD-IQ4_XS; revision not measured; source revision not measured +- Files: `Qwen3.8-Flash-Next-UD-IQ4_XS-00001-of-00003.gguf` `5ce89370720f8bf9...`; `Qwen3.8-Flash-Next-UD-IQ4_XS-00002-of-00003.gguf` `577a38a2392b40ca...`; `Qwen3.8-Flash-Next-UD-IQ4_XS-00003-of-00003.gguf` `d4634e6d84f0ebb0...`; `expert-profile.bin` `8f59b4aa8873209d...` +- Track: **custom** (C-r2: Strata-212@146df3c4, engine strata-212-stocktab-f83fd81691a5b053, CUDA 13.0 source build (STRATA_MMQ_TAB=ON), 4x RTX 3090 320 W, layer split over 4 cards; stock v0.2.12 with our production args/env (16 slots, 262K, int8 KV, MTP, resident experts, conversation cache) + upstream's sm_86 table + stack, bit-changing defaults pinned to 0, sampling.presence_penalty 0; server env: [STRATA_ADMIT_SHORT_FIRST=8192]) +- Context 262144 tokens; server capacity 16 slot(s) +- Sampling: temperature 1.0, top_p 0.95, top_k 20, min_p 0.0, presence_penalty 0.0, repetition_penalty 1.0, reasoning_effort xhigh; thinking on, preserved +- Engine options: `config.json`; chat template: `provenance/chat_template.jinja` + +## Method + +The frozen requests of `bench/prompts/standard-v1` (corpus `e75eff8b9feea04f...`) were sent over loopback HTTP, streaming, one at a time, in this order: 1 warm-up (excluded), 3 repetitions of the short, 4K and 16K prompts, and the twelve sanity checks. Prompt and decode speed are the engine's own `timings`; time to first token is the client's monotonic clock from dispatch to the first nonempty reasoning, answer or tool-call delta. No request was retried. Time after the model loaded: 1 min 0 s. + +## Results + +| Case | Prompt tok/s | Decode tok/s | TTFT s | First answer s | Total s | Capped | +| --- | --- | --- | --- | --- | --- | --- | +| short | n/a | 136.7 (129.5-136.9) n=3 | 0.45 (0.15-0.45) n=3 | 1.07 (1.03-1.35) n=3 | 2.9 (2.7-3.5) n=3 | 0/3 | +| prompt-4k | 5000.6 (4992.7-5002.4) n=3 | 138.6 (129.1-141.6) n=3 | 0.84 (0.84-0.84) n=3 | 2.62 (2.03-2.94) n=3 | 4.5 (4.4-4.8) n=3 | 3/3 | +| prompt-16k | 5770.1 (5739.4-5788.2) n=3 | 117.4 (117.2-123.5) n=3 | 2.87 (2.86-2.88) n=3 | 6.28 (4.58-6.54) n=3 | 7.2 (6.8-7.2) n=3 | 2/3 | + +Cells are median (min-max) n=samples. Short is a prompt of about 80 tokens: its prompt rate is dominated by the fixed cost of a request, so it is not shown; read prompt speed from prompt-4k and prompt-16k. Capped = requests that reached the 512-token cap, reasoning and answer together. A capped request's total time is the time to the cap, not to an answer, and it has no first-answer time when it was still reasoning. + +| Phase | Planned | Completed | Truncated | Failed | Skipped | +| --- | ---: | ---: | ---: | ---: | ---: | +| warmup | 1 | 0 | 1 | 0 | 0 | +| performance | 9 | 4 | 5 | 0 | 0 | +| sanity | 12 | 12 | 0 | 0 | 0 | +| concurrency | 12 | 6 | 6 | 0 | 0 | + +Sanity checks: **12 of 12**. + +| Case | Result | Reason | +| --- | --- | --- | +| I1 | pass | the expected JSON value | +| I2 | pass | the expected JSON value | +| I3 | pass | the expected JSON value | +| I4 | pass | the exact expected text | +| R1 | pass | the exact expected text | +| R2 | pass | the exact expected text | +| R3 | pass | the exact expected text | +| R4 | pass | the expected JSON value | +| T1 | pass | the expected tool call | +| T2 | pass | the expected tool call | +| T3 | pass | the expected tool call | +| T4 | pass | the expected tool call | + +Concurrency rounds (four requests released together): + +| Round | Wall s | Output tokens | Aggregate tok/s | Failed | +| ---: | ---: | ---: | ---: | ---: | +| 1 | 7.046031 | 1963 | 278.59656 | 0 | +| 2 | 7.058515 | 2001 | 283.487391 | 0 | +| 3 | 6.81163 | 1829 | 268.511355 | 0 | + +## Failures, exclusions and limitations + +- No request failed. +- Excluded from speed summaries: concurrency-r1-c1: first_answer_s is not available for this request +- Excluded from speed summaries: concurrency-r3-c2: first_answer_s is not available for this request +- Prompt-prefix reuse is the shared template prefix only; the cache was not emptied between requests, and the expert cache stays warm and evolves. These are not cold-model measurements. +- Output caps include reasoning; a request that reaches its cap is `truncated` and fails its sanity check. +- The runner cannot see other programs on the machine, the repeat-stop and loop-recovery switches of the server, or the quantization repository's revision; see `missing` in results.json for every value it could not read. +- The server had answered no request before this run (a freshly loaded engine). diff --git a/bench/results/2026-11-08-standard-4x-rtx-3090-be712cdc/config.json b/bench/results/2026-11-08-standard-4x-rtx-3090-be712cdc/config.json new file mode 100644 index 00000000000..f672f17f16a --- /dev/null +++ b/bench/results/2026-11-08-standard-4x-rtx-3090-be712cdc/config.json @@ -0,0 +1,55 @@ +{ + "engine_options": { + "--pack": "unsloth-ud-iq4_xs", + "--native": "Qwen3.8-Flash-Next-UD-IQ4_XS-00001-of-00003.gguf", + "--expert-profile": "expert-profile.bin", + "--expert-cache": "auto", + "--prefill": "512", + "--spec": "4", + "--spec-min-p": "0.5", + "--mtp": "rt", + "--max-context": "262144", + "--kv": "int8", + "--resident-experts": true, + "--trim-stage-weights": true, + "--ple-io": "ram", + "--aux-cpus": "65-127", + "--conversation-cache-mib": "126976", + "--conversation-cache-slots": "448", + "--kv-resident": "28672", + "--conversation-cache-min-free-mib": "16384", + "--conversation-cache-min-tokens": "1024", + "--vision": true, + "--prompt-cache-every": "8192", + "--prompt-cache": "12", + "--layer-split": "12,25,37", + "--batch": "16" + }, + "other_engine_options": { + "--pack": "unsloth-ud-iq4_xs", + "--native": "Qwen3.8-Flash-Next-UD-IQ4_XS-00001-of-00003.gguf", + "--max-context": "262144", + "--resident-experts": true, + "--trim-stage-weights": true, + "--ple-io": "ram", + "--aux-cpus": "65-127", + "--conversation-cache-mib": "126976", + "--conversation-cache-slots": "448", + "--conversation-cache-min-free-mib": "16384", + "--conversation-cache-min-tokens": "1024", + "--vision": true, + "--prompt-cache-every": "8192", + "--prompt-cache": "12", + "--batch": "16" + }, + "server_defaults": { + "temperature": 1.0, + "top_p": 0.95, + "top_k": 20, + "presence_penalty": 0.0, + "n_predict": -1 + }, + "total_slots": 16, + "context": 262144, + "source": "effective engine arguments of the profile" +} diff --git a/bench/results/2026-11-08-standard-4x-rtx-3090-be712cdc/engine.log b/bench/results/2026-11-08-standard-4x-rtx-3090-be712cdc/engine.log new file mode 100644 index 00000000000..64427e98ac1 --- /dev/null +++ b/bench/results/2026-11-08-standard-4x-rtx-3090-be712cdc/engine.log @@ -0,0 +1,1101 @@ +load_hparams: Qwen-VL models require at minimum 1024 image tokens to function correctly on grounding tasks +load_hparams: if you encounter problems with accuracy, try adding --image-min-tokens 1024 +load_hparams: more info: https://github.com/ggml-org/llama.cpp/issues/16842 + +strata-vision: model files loaded in 1.1 s +strata-vision: on the CPU, 32 threads, no warm-up +[strata] 2026-11-08 17:59:17 engine started: /bin/strata-212-stocktab-f83fd81691a5b053 --serve --pack /unsloth-ud-iq4_xs --native --expert-profile --expert-cache auto --prefill 512 --spec 4 --spec-min-p 0.5 --mtp /mtp/rt --max-context 262144 --kv int8 --resident-experts --trim-stage-weights --ple-io ram --aux-cpus 65-127 --conversation-cache-mib 126976 --conversation-cache-slots 448 --kv-resident 28672 --conversation-cache-min-free-mib 16384 --conversation-cache-min-tokens 1024 --vision --prompt-cache-every 8192 --prompt-cache 12 --layer-split 12,25,37 --batch 16 +strata: sm_86 (Ampere): 9 exact speed switches on by default (STRATA_SM86_PERF=0 turns them off; a switch you set is kept): ADAPT_NOWAIT ADAPT_LAG CPU_IQ_ALL_EXACT1 SIDE_MIXER ATTN_DAILY GR_UP75 GU_SWIGLU QSA_ROWS B6_MMVQ_ROWS +strata generate: memory guard: limit 224.0 GiB (source: cgroup), current 1.4 GiB, reclaimable cache credited 0.0 GiB; available 222.6 GiB (MemAvailable 239.4 GiB), floor 16384 MiB +strata generate: layer split across 4 GPUs: CUDA0, then CUDA1,2,3 (split 12,25,37) +strata generate: PCIe probe: 13.0 GB/s host->device (best of 13.0 13.0 13.0 13.0) -> pcie_frac 0.36 (default 0.55) +strata generate: CPU expert kernels: AVX-2 +strata generate: native pack: /unsloth-ud-iq4_xs experts (largest blob 3.48 MB), token embedding Q8_0 in mapped host memory (644 MiB, 0.6 s) +strata generate: layer split: CUDA0 loads the dense weights of layers 0-11 only +strata generate: 463 MiB of weights loaded from /unsloth-ud-iq4_xs in 0.1 s (843 canonical tensors skipped: served natively) +strata generate: 76 native projection matrices, 763.67 MiB of weights, in 0.2 s +strata generate: PLE table locked in RAM (--ple-io ram) in 1.6 s +strata generate: layer split: CUDA1 loads the dense weights of layers 12-24 only +strata generate: layer split: CUDA1 PCIe probe 13.1 GB/s (best of 13.1 13.1 13.1 13.1) -> pcie_frac 0.36 +strata generate: layer split: CUDA1 holds its weights; 21.93 GiB free (its session follows the split search) +strata generate: layer split: CUDA2 loads the dense weights of layers 25-36 only +strata generate: layer split: CUDA2 PCIe probe 13.5 GB/s (best of 13.5 13.5 13.5 13.5) -> pcie_frac 0.37 +strata generate: layer split: CUDA2 holds its weights; 22.02 GiB free (its session follows the split search) +strata generate: layer split: CUDA3 loads the dense weights of layers 37-47 only +strata generate: layer split: CUDA3 PCIe probe 13.5 GB/s (best of 13.5 13.5 13.5 13.5) -> pcie_frac 0.37 +strata generate: layer split: CUDA3 holds its weights; 22.11 GiB free (its session follows the split search) +strata generate: profile : 24576 ranked pairs, built for 24576 slots +strata generate: KV streaming: 28672 of 262144 cells per QSA layer in VRAM, the K/V in 0.77 GiB of pinned RAM +strata generate: PLE on, table 320001536 rows of +strata generate: layer split: CUDA1 holds its weights, session [12, 25); 21.64 GiB free +strata generate: layer split: CUDA2 holds its weights, session [25, 37); 21.73 GiB free +strata generate: layer split: CUDA3 holds its weights, session [37, 48) and the head; 21.34 GiB free +strata generate: --batch-groups auto: 4 groups of 4 slots +strata generate: --batch: 16 slot sessions on CUDA0 (0.28 GiB each); 16.92 GiB free +strata generate: --batch: 16 slot sessions on CUDA1 (0.28 GiB each); 17.06 GiB free +strata generate: --batch: 16 slot sessions on CUDA2 (0.28 GiB each); 17.19 GiB free +strata generate: --batch: 16 slot sessions on CUDA3 (0.28 GiB each); 16.80 GiB free +strata generate: --batch 16: the slot sessions take 4.46 GiB of VRAM on CUDA0 that the expert cache would otherwise hold +strata mtp: draft layer loaded, 835 MiB of VRAM (experts 675, dense 111), files read in 0.54 s (1459 MiB/s) +strata generate: GPU 0: NVIDIA GeForce RTX 3090, compute capability 8.6 +strata generate: experts via mmap (--mmap-experts; the GGUF shards in place, no experts.bin) +strata generate: file tier (Linux defaults, the GGUF read in place): page-cached experts computed from the mapping (STRATA_COLD_OVERLAP=4), io prefetch with whole-blob preads on 8 I/O threads, the decode's read-ahead only while the page cache has room for it and it pays (STRATA_IO_PF_GATE=1); off: STRATA_COLD_OVERLAP=0, STRATA_IO_PREFETCH=0, STRATA_IO_PF_GATE=0 +strata generate: GPU host-callback thread started before host-core pinning +strata generate: CPU pool tasks/phase: 99 (automatic), participating threads: 33 +strata generate: CPU pool: 32 workers by default (64 physical cores, 128 logical processors; bounded by the measured cap) +strata generate: 32 pool workers on logical processors 1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32, the host thread on 0 (draining too) (--host-core first) +strata generate: CPU workers on logical processors 1-32 (32 workers, one per physical core; host on 0) +strata aux cpus: threads that are neither pool workers nor the host go to CPUs 65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127 (on; 18 threads placed so far) +strata: prompt MMQ reads resident experts in place (STRATA_MMQ_DIRECT=1): 48 of 48 layers +strata: prompt MMQ sorts the full expert groups (STRATA_MMQ_GROUP_SORT=1): 48 of 48 layers +strata generate: expert cache auto: 16.84 GiB free, 700 MiB reserved (+0 MiB for the draft head, +256 MiB for what is allocated after the cache) -> 4906 slots +strata generate: +256 B guard per sized slot (STRATA_MMQ_DIRECT) +strata generate: expert cache 6144 slots, 14.27 GiB of VRAM; policy is +strata generate: the GPU computes the experts in the cache; it rounds differently from the CPU, + so a reply can differ slightly from a run without the cache (same quality: + bench/results/2026-09-27-cache-parity). + PROFILE, ranked by routing frequency, no eviction. +strata generate: the profile fill asks for 256 pairs ahead (STRATA_FILL_AHEAD) +strata generate: pre-filled 6144 of 6144 slots from the profile in 4.5 s (3391 MB/s); slot 0 verified +strata generate: layer split, CUDA1: 17.01 GiB free of 23.56, room for experts 15.98 GiB +strata generate: layer split: CUDA1 runs layers 12-24, expert cache 6656 slots (14.44 GiB), 6656 of its 6656 profiled pairs; slot 0 verified +strata generate: layer split, CUDA2: 17.17 GiB free of 23.56, room for experts 16.14 GiB +strata generate: layer split: CUDA2 runs layers 25-36, expert cache 6144 slots (13.72 GiB), 6144 of its 6144 profiled pairs; slot 0 verified +strata generate: layer split, CUDA3: 15.98 GiB free of 23.56, room for experts 14.96 GiB +strata generate: layer split: CUDA3 runs layers 37-47, expert cache 5632 slots (13.00 GiB), 5632 of its 5632 profiled pairs; slot 0 verified +strata generate: layer split: CUDA0 runs layers 0-11 +strata generate: every expert is in the GPU caches (24576 of 24576): the file tier's Linux defaults (io prefetch, the decode gate) are off, the decode reads nothing from it (STRATA_IO_PREFETCH=1 keeps them) +strata generate: routing-aware prefetch off (every expert is in the GPU caches; STRATA_LOOKAHEAD=1 runs it) +strata generate: R4 hit path ON - resident experts are computed on the GPU +strata generate: 32 expert-pool workers + the host thread +strata generate: session is up (engine 0.1.58) +strata generate: token graph hit path: 24576 resident experts, decided on the device +strata serve: layer split: 100% of the experts resident, the prompt path's streamed ring 96 slots +FileExpertSource: copied cache complement through layer 8/48 (0.00 GiB, 0 s) +FileExpertSource: copied cache complement through layer 16/48 (0.00 GiB, 0 s) +FileExpertSource: copied cache complement through layer 24/48 (0.00 GiB, 0 s) +FileExpertSource: copied cache complement through layer 32/48 (0.00 GiB, 0 s) +FileExpertSource: copied cache complement through layer 40/48 (0.00 GiB, 0 s) +FileExpertSource: copied cache complement through layer 48/48 (0.00 GiB, 0 s) +FileExpertSource: locked resident cache complement ready: resident 0.00 GiB, pinned 0.00 GiB in 0 s +FileExpertSource: 18432 verified additional-GPU experts remain on the mmap fallback +strata generate: resident RAM mode: 0.00 GiB of experts in RAM (pageable), 6144 in the GPU cache; adaptive swaps exchange them with the GPU cache (no file reads) +strata serve: CUDA0 keeps its own prompt buffers (0.75 GiB of 2.57 GiB free): no loan +strata serve: CUDA1 keeps its own prompt buffers (0.75 GiB of 2.56 GiB free): no loan +strata serve: CUDA2 keeps its own prompt buffers (0.75 GiB of 3.44 GiB free): no loan +strata serve: CUDA3 keeps its own prompt buffers (0.75 GiB of 2.98 GiB free): no loan +strata serve: the prompt path allocates its own buffers (too few cache slots to borrow) +prefill: the GGUF experts are 100% in the page cache; the stager takes the RAM profile +prefill: the GGUF experts are 100% in the page cache; the stager takes the RAM profile +prefill: the GGUF experts are 100% in the page cache; the stager takes the RAM profile +prefill: the GGUF experts are 100% in the page cache; the stager takes the RAM profile +strata hc: CUDA1: the hyper-connection read runs as staged (the norm per token and stream, the down projection's activations staged ahead by cp.async); checked bit for bit against the plain read on this card (STRATA_HC_SPLIT=1 or 0 for the earlier ones) +strata verify: window up to 8 tokens, 100.1 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata hc: CUDA2: the hyper-connection read runs as staged (the norm per token and stream, the down projection's activations staged ahead by cp.async); checked bit for bit against the plain read on this card (STRATA_HC_SPLIT=1 or 0 for the earlier ones) +strata verify: window up to 8 tokens, 100.1 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata hc: CUDA3: the hyper-connection read runs as staged (the norm per token and stream, the down projection's activations staged ahead by cp.async); checked bit for bit against the plain read on this card (STRATA_HC_SPLIT=1 or 0 for the earlier ones) +strata verify: window up to 8 tokens, 100.1 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata serve: layer split: layers 0-11 (CUDA0), 12-24 (CUDA1), 25-36 (CUDA2), 37-47 (CUDA3), one hand-off per window +strata hc: CUDA0: the hyper-connection read runs as staged (the norm per token and stream, the down projection's activations staged ahead by cp.async); checked bit for bit against the plain read on this card (STRATA_HC_SPLIT=1 or 0 for the earlier ones) +strata verify: window up to 8 tokens, 100.1 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata mtp: draft head over 106299 tokens (212.9 MiB) +strata verify: batch windows of up to 16 sequences (layers [0, 12)), one-row windows keep their rows +strata verify: batch windows of up to 16 sequences (layers [12, 25)), one-row windows keep their rows +strata verify: batch windows of up to 16 sequences (layers [25, 37)), one-row windows keep their rows +strata verify: batch windows of up to 16 sequences (layers [37, 48)), one-row windows keep their rows +strata serve: PCIe share: start 0.10 from 32 pool workers (assumed 65 GB/s of expert bytes) and the 13.0 GB/s link (was 0.36) +strata serve: adaptive overlap: off: not on a layer split +strata serve: 1574 MiB of VRAM free with everything loaded +strata serve: CUDA1: 1561 MiB of VRAM free with everything loaded +strata serve: CUDA2: 2461 MiB of VRAM free with everything loaded +strata serve: CUDA3: 1769 MiB of VRAM free with everything loaded +strata prefill: QSA layers: norm + rope in one pass on, attention gate in the attention epilogue off +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: draft layer prompt K/V batched on CUDA3 (E-9 on the layer split, K/V mode 2) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata verify: capturing the 4-token window (1536 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 3.5 ms +strata verify: capturing the 4-token window (1523 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 2.8 ms +strata verify: capturing the 4-token window (2423 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 2.6 ms +strata verify: capturing the 4-token window (1723 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 2.6 ms +strata verify: capturing the 1-token window (1530 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 3.8 ms +strata verify: capturing the 1-token window (1517 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 3.1 ms +strata verify: capturing the 1-token window (2417 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 2.8 ms +strata verify: capturing the 1-token window (1717 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 2.7 ms +strata verify: capturing the 3-token window (1524 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 3.3 ms +strata verify: capturing the 3-token window (1509 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 2.6 ms +strata verify: capturing the 3-token window (2411 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 2.5 ms +strata verify: capturing the 3-token window (1709 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 2.4 ms +strata verify: capturing the 2-token window (1518 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 3.1 ms +strata verify: capturing the 2-token window (1505 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 3.2 ms +strata verify: capturing the 2-token window (2405 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 2.6 ms +strata verify: capturing the 2-token window (1701 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 2.7 ms +strata serve: prompt 75 tokens = 0 reused + 75 read in 505 ms (148.6 tok/s), 128 generated in 1037 ms (123.4 tok/s), drafts accepted 71 of 113, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 59529.9 MB of expert reads +strata serve: KV streaming: 99.17% of 18492 block reads hit VRAM, 0.6 MiB read from RAM +strata serve: suffix drafts: 5 windows, 14 of 14 drafts accepted +strata serve: conversation cache: skip parking (203 tokens, below the 1024 minimum; parked=0) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: prompt 77 tokens = 0 reused + 77 read in 132 ms (582.4 tok/s), 356 generated in 2749 ms (129.5 tok/s), drafts accepted 196 of 303, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 99.63% of 88380 block reads hit VRAM, 1.3 MiB read from RAM +strata serve: suffix drafts: 6 windows, 15 of 18 drafts accepted +strata serve: conversation cache: skip parking (433 tokens, below the 1024 minimum; parked=0) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 21 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata verify: capturing the 6-token window (1495 MiB of VRAM free) +strata verify: captured the 6-token window (upload no error, sync no error) in 4.4 ms +strata verify: capturing the 6-token window (1477 MiB of VRAM free) +strata verify: captured the 6-token window (upload no error, sync no error) in 3.0 ms +strata verify: capturing the 6-token window (2379 MiB of VRAM free) +strata verify: captured the 6-token window (upload no error, sync no error) in 3.3 ms +strata verify: capturing the 6-token window (1689 MiB of VRAM free) +strata verify: captured the 6-token window (upload no error, sync no error) in 2.7 ms +strata serve: prompt 4093 tokens = 0 reused + 4093 read in 818 ms (5000.6 tok/s), 512 generated in 3616 ms (141.6 tok/s), drafts accepted 312 of 437, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 99.65% of 989007 block reads hit VRAM, 13.9 MiB read from RAM +strata serve: suffix drafts: 24 windows, 62 of 78 drafts accepted +strata serve: conversation cache: parked 4605 tokens in 154.5 ms; parked=1 bytes=308819456 evictions=0 snapshot_bytes=308819456 reused_kv_bytes=0 +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 93 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata serve: prompt 16387 tokens = 0 reused + 16387 read in 2831 ms (5788.2 tok/s), 489 generated in 3960 ms (123.5 tok/s), drafts accepted 263 of 416, 2 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 98.80% of 999786 block reads hit VRAM, 48.2 MiB read from RAM +strata serve: suffix drafts: 14 windows, 23 of 42 drafts accepted +strata serve: conversation cache: parked 16878 tokens in 300.6 ms; parked=2 bytes=924652992 evictions=0 snapshot_bytes=615833536 reused_kv_bytes=0 +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: prompt 77 tokens = 0 reused + 77 read in 433 ms (177.8 tok/s), 419 generated in 3066 ms (136.7 tok/s), drafts accepted 252 of 385, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 99.69% of 120384 block reads hit VRAM, 1.5 MiB read from RAM +strata serve: conversation cache: skip parking (498 tokens, below the 1024 minimum; parked=2) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 21 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata serve: prompt 4093 tokens = 0 reused + 4093 read in 818 ms (5002.5 tok/s), 512 generated in 3966 ms (129.1 tok/s), drafts accepted 281 of 416, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 99.66% of 1007481 block reads hit VRAM, 13.9 MiB read from RAM +strata serve: suffix drafts: 8 windows, 11 of 26 drafts accepted +strata serve: conversation cache: parked 4607 tokens in 151.5 ms; parked=3 bytes=1233472480 evictions=0 snapshot_bytes=308819488 reused_kv_bytes=0 +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 93 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata serve: prompt 16387 tokens = 0 reused + 16387 read in 2840 ms (5770.0 tok/s), 512 generated in 4361 ms (117.4 tok/s), drafts accepted 239 of 354, 2 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 98.76% of 973587 block reads hit VRAM, 48.8 MiB read from RAM +strata serve: suffix drafts: 5 windows, 11 of 15 drafts accepted +strata serve: conversation cache: parked 16899 tokens in 301.8 ms; parked=4 bytes=1849611632 evictions=0 snapshot_bytes=616139152 reused_kv_bytes=0 +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: prompt 77 tokens = 0 reused + 77 read in 434 ms (177.4 tok/s), 308 generated in 2250 ms (136.9 tok/s), drafts accepted 183 of 283, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 99.59% of 70788 block reads hit VRAM, 1.2 MiB read from RAM +strata serve: suffix drafts: 1 windows, 1 of 3 drafts accepted +strata serve: conversation cache: skip parking (384 tokens, below the 1024 minimum; parked=4) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 21 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata serve: prompt 4093 tokens = 0 reused + 4093 read in 820 ms (4992.7 tok/s), 512 generated in 3694 ms (138.6 tok/s), drafts accepted 303 of 416, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 99.65% of 973584 block reads hit VRAM, 13.9 MiB read from RAM +strata serve: suffix drafts: 4 windows, 7 of 11 drafts accepted +strata serve: conversation cache: parked 4607 tokens in 154.9 ms; parked=5 bytes=2158431120 evictions=0 snapshot_bytes=308819488 reused_kv_bytes=0 +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool 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existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 93 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata serve: prompt 16387 tokens = 0 reused + 16387 read in 2855 ms (5739.4 tok/s), 512 generated in 4369 ms (117.2 tok/s), drafts accepted 241 of 373, 2 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 98.78% of 998223 block reads hit VRAM, 49.1 MiB read from RAM +strata serve: suffix drafts: 7 windows, 12 of 21 drafts accepted +strata serve: conversation cache: parked 16898 tokens in 299.4 ms; parked=6 bytes=2774570256 evictions=0 snapshot_bytes=616139136 reused_kv_bytes=0 +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: prompt 82 tokens = 0 reused + 82 read in 435 ms (188.5 tok/s), 72 generated in 503 ms (143.0 tok/s), drafts accepted 47 of 68, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 98.68% of 8856 block reads hit VRAM, 0.5 MiB read from RAM +strata serve: suffix drafts: 1 windows, 1 of 5 drafts accepted +strata serve: conversation cache: skip parking (155 tokens, below the 1024 minimum; parked=6) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: prompt 90 tokens = 0 reused + 90 read in 139 ms (647.1 tok/s), 60 generated in 405 ms (148.3 tok/s), drafts accepted 42 of 59, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 98.51% of 7656 block reads hit VRAM, 0.5 MiB read from RAM +strata serve: conversation cache: skip parking (152 tokens, below the 1024 minimum; parked=6) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: prompt 85 tokens = 0 reused + 85 read in 139 ms (612.9 tok/s), 86 generated in 468 ms (183.6 tok/s), drafts accepted 63 of 69, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 98.61% of 9267 block reads hit VRAM, 0.5 MiB read from RAM +strata serve: conversation cache: skip parking (171 tokens, below the 1024 minimum; parked=6) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: prompt 71 tokens = 0 reused + 71 read in 128 ms (555.6 tok/s), 24 generated in 150 ms (160.4 tok/s), drafts accepted 19 of 21, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 96.35% of 2055 block reads hit VRAM, 0.3 MiB read from RAM +strata serve: conversation cache: skip parking (97 tokens, below the 1024 minimum; parked=6) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 21 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata serve: prompt 4089 tokens = 0 reused + 4089 read in 816 ms (5013.4 tok/s), 66 generated in 443 ms (148.9 tok/s), drafts accepted 42 of 57, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 97.80% of 132483 block reads hit VRAM, 11.8 MiB read from RAM +strata serve: conversation cache: parked 4155 tokens in 150.0 ms; parked=7 bytes=3076483120 evictions=0 snapshot_bytes=301912864 reused_kv_bytes=0 +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 21 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata serve: prompt 4089 tokens = 0 reused + 4089 read in 965 ms (4238.4 tok/s), 66 generated in 414 ms (159.3 tok/s), drafts accepted 45 of 55, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 97.62% of 126324 block reads hit VRAM, 12.1 MiB read from RAM +strata serve: conversation cache: parked 4156 tokens in 148.8 ms; parked=8 bytes=3378402144 evictions=0 snapshot_bytes=301919024 reused_kv_bytes=0 +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 93 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata serve: prompt 16382 tokens = 0 reused + 16382 read in 2837 ms (5774.8 tok/s), 51 generated in 332 ms (153.5 tok/s), drafts accepted 34 of 38, 2 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 92.51% of 93969 block reads hit VRAM, 28.4 MiB read from RAM +strata serve: conversation cache: parked 16434 tokens in 295.0 ms; parked=9 bytes=3987451280 evictions=0 snapshot_bytes=609049136 reused_kv_bytes=0 +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 96 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata serve: prompt 16390 tokens = 0 reused + 16390 read in 3071 ms (5337.4 tok/s), 160 generated in 970 ms (164.9 tok/s), drafts accepted 108 of 124, 3 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 96.91% of 278829 block reads hit VRAM, 34.7 MiB read from RAM +strata serve: conversation cache: parked 16550 tokens in 352.4 ms; parked=10 bytes=4717705296 evictions=0 snapshot_bytes=730254016 reused_kv_bytes=0 +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: prompt 325 tokens = 0 reused + 325 read in 623 ms (521.9 tok/s), 64 generated in 388 ms (165.0 tok/s), drafts accepted 46 of 57, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 98.64% of 21651 block reads hit VRAM, 1.2 MiB read from RAM +strata serve: conversation cache: skip parking (390 tokens, below the 1024 minimum; parked=10) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: prompt 335 tokens = 0 reused + 335 read in 271 ms (1236.7 tok/s), 63 generated in 361 ms (174.5 tok/s), drafts accepted 46 of 51, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 98.52% of 20268 block reads hit VRAM, 1.2 MiB read from RAM +strata serve: conversation cache: skip parking (399 tokens, below the 1024 minimum; parked=10) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: prompt 352 tokens = 0 reused + 352 read in 270 ms (1304.9 tok/s), 73 generated in 392 ms (186.3 tok/s), drafts accepted 53 of 57, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 98.65% of 23529 block reads hit VRAM, 1.3 MiB read from RAM +strata serve: conversation cache: skip parking (424 tokens, below the 1024 minimum; parked=10) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: prompt 339 tokens = 0 reused + 339 read in 269 ms (1258.5 tok/s), 67 generated in 381 ms (175.6 tok/s), drafts accepted 49 of 54, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 98.59% of 21741 block reads hit VRAM, 1.2 MiB read from RAM +strata serve: conversation cache: skip parking (407 tokens, below the 1024 minimum; parked=10) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: prompt 78 tokens = 0 reused + 78 read in 130 ms (601.9 tok/s), 1 generated in 13 ms (75.7 tok/s), drafts accepted 0 of 0, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 79.38% of 291 block reads hit VRAM, 0.2 MiB read from RAM +strata batch: slot 0 takes 79 tokens (copied in 8.5 ms) +strata serve: prompt 79 tokens = 78 reused + 1 read in 0 ms (2988.6 tok/s), 1 generated in 12 ms (86.8 tok/s), drafts accepted 0 of 0, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 82.91% of 351 block reads hit VRAM, 0.2 MiB read from RAM +strata verify: captured the batch window over slots 0 +strata verify: captured the batch window over slots 0 +strata verify: captured the batch window over slots 0 +strata verify: captured the batch window over slots 0 +strata serve: conversation cache: skip parking (79 tokens, below the 1024 minimum; parked=10) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata verify: capturing the 5-token window (1488 MiB of VRAM free) +strata verify: captured the 5-token window (upload no error, sync no error) in 3.6 ms +strata verify: capturing the 5-token window (1465 MiB of VRAM free) +strata verify: captured the 5-token window (upload no error, sync no error) in 3.2 ms +strata verify: capturing the 5-token window (2367 MiB of VRAM free) +strata verify: captured the 5-token window (upload no error, sync no error) in 2.5 ms +strata verify: capturing the 5-token window (1677 MiB of VRAM free) +strata verify: captured the 5-token window (upload no error, sync no error) in 2.7 ms +strata batch: slot 4 takes 78 tokens (copied in 0.9 ms) +strata serve: prompt 78 tokens = 0 reused + 78 read in 112 ms (698.2 tok/s), 1 generated in 32 ms (31.4 tok/s), drafts accepted 0 of 0, 0 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 79.38% of 291 block reads hit VRAM, 0.2 MiB read from RAM +strata verify: captured the batch window over slots 4 +strata verify: captured the batch window over slots 4 +strata verify: captured the batch window over slots 4 +strata verify: captured the batch window over slots 4 +strata serve: conversation cache: skip parking (78 tokens, below the 1024 minimum; parked=10) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata batch: slot 8 takes 78 tokens (copied in 0.9 ms) +strata serve: prompt 78 tokens = 0 reused + 78 read in 112 ms (697.9 tok/s), 1 generated in 20 ms (50.3 tok/s), drafts accepted 0 of 0, 0 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 79.38% of 291 block reads hit VRAM, 0.2 MiB read from RAM +strata verify: captured the batch window over slots 8 +strata verify: captured the batch window over slots 8 +strata verify: captured the batch window over slots 8 +strata verify: captured the batch window over slots 8 +strata serve: conversation cache: skip parking (78 tokens, below the 1024 minimum; parked=10) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata batch: slot 12 takes 78 tokens (copied in 0.9 ms) +strata serve: prompt 78 tokens = 0 reused + 78 read in 111 ms (702.0 tok/s), 1 generated in 21 ms (48.2 tok/s), drafts accepted 0 of 0, 0 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 79.38% of 291 block reads hit VRAM, 0.2 MiB read from RAM +strata verify: captured the batch window over slots 12 +strata verify: captured the batch window over slots 12 +strata verify: captured the batch window over slots 12 +strata verify: captured the batch window over slots 12 +strata batch (pipelined, 4 groups of 4): 1958 group-steps, 1958 rows in 6873 ms = 284.9 rows/s (admissions included) +strata serve: conversation cache: skip parking (78 tokens, below the 1024 minimum; parked=10) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: prompt 78 tokens = 0 reused + 78 read in 139 ms (562.2 tok/s), 1 generated in 12 ms (80.6 tok/s), drafts accepted 0 of 0, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 79.38% of 291 block reads hit VRAM, 0.2 MiB read from RAM +strata serve: conversation cache: slot 0 not parked before its overwrite (its 589 tokens have no per-slot draft K/V without --batch-mtp) +strata batch: slot 0 takes 79 tokens (copied in 8.9 ms) +strata serve: prompt 79 tokens = 78 reused + 1 read in 0 ms (2873.6 tok/s), 1 generated in 11 ms (91.8 tok/s), drafts accepted 0 of 0, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 82.91% of 351 block reads hit VRAM, 0.2 MiB read from RAM +strata serve: conversation cache: skip parking (79 tokens, below the 1024 minimum; parked=10) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: conversation cache: slot 4 not parked before its overwrite (its 509 tokens have no per-slot draft K/V without --batch-mtp) +strata batch: slot 4 takes 78 tokens (copied in 1.0 ms) +strata serve: prompt 78 tokens = 0 reused + 78 read in 108 ms (722.1 tok/s), 1 generated in 20 ms (49.0 tok/s), drafts accepted 0 of 0, 0 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 79.38% of 291 block reads hit VRAM, 0.2 MiB read from RAM +strata serve: conversation cache: skip parking (78 tokens, below the 1024 minimum; parked=10) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: conversation cache: slot 8 not parked before its overwrite (its 584 tokens have no per-slot draft K/V without --batch-mtp) +strata batch: slot 8 takes 78 tokens (copied in 1.0 ms) +strata serve: prompt 78 tokens = 0 reused + 78 read in 108 ms (720.3 tok/s), 1 generated in 20 ms (51.0 tok/s), drafts accepted 0 of 0, 0 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 79.38% of 291 block reads hit VRAM, 0.2 MiB read from RAM +strata serve: conversation cache: skip parking (78 tokens, below the 1024 minimum; parked=10) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: conversation cache: slot 12 not parked before its overwrite (its 589 tokens have no per-slot draft K/V without --batch-mtp) +strata batch: slot 12 takes 78 tokens (copied in 1.0 ms) +strata serve: prompt 78 tokens = 0 reused + 78 read in 109 ms (715.3 tok/s), 1 generated in 19 ms (51.5 tok/s), drafts accepted 0 of 0, 0 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 79.38% of 291 block reads hit VRAM, 0.2 MiB read from RAM +strata batch (pipelined, 4 groups of 4): 1996 group-steps, 1996 rows in 6877 ms = 290.3 rows/s (admissions included) +strata serve: conversation cache: skip parking (78 tokens, below the 1024 minimum; parked=10) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: prompt 78 tokens = 0 reused + 78 read in 127 ms (614.6 tok/s), 1 generated in 12 ms (80.2 tok/s), drafts accepted 0 of 0, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 79.38% of 291 block reads hit VRAM, 0.2 MiB read from RAM +strata serve: conversation cache: slot 0 not parked before its overwrite (its 556 tokens have no per-slot draft K/V without --batch-mtp) +strata batch: slot 0 takes 79 tokens (copied in 8.6 ms) +strata serve: prompt 79 tokens = 78 reused + 1 read in 0 ms (2938.0 tok/s), 1 generated in 11 ms (91.6 tok/s), drafts accepted 0 of 0, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 82.91% of 351 block reads hit VRAM, 0.2 MiB read from RAM +strata serve: conversation cache: skip parking (79 tokens, below the 1024 minimum; parked=10) diff --git a/bench/results/2026-11-08-standard-4x-rtx-3090-be712cdc/outputs.jsonl b/bench/results/2026-11-08-standard-4x-rtx-3090-be712cdc/outputs.jsonl new file mode 100644 index 00000000000..c89ab8e3c82 --- /dev/null +++ b/bench/results/2026-11-08-standard-4x-rtx-3090-be712cdc/outputs.jsonl @@ -0,0 +1,34 @@ +{"request_id": "warmup", "phase": "warmup", "case_id": "warmup", "request": {"stream": true, "stream_options": {"include_usage": true}, "max_tokens": 128, "seed": 1, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}}, "messages": [{"role": "user", "content": "[case warmup]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table finds a value by using a hash function to convert the key into an index.\n\n1. Compute a hash from the key:", "reasoning": "We need to respond to user: \"[case warmup]\nExplain how a hash table finds a value, including collisions and one small example.\"\n\nWe need to produce final answer. Need likely concise explanation. Include case warmup? Maybe they expect answer only. We can provide explanation. Need maybe handle \"case warmup\" perhaps means warm-up case? Just explain. Ensure include finding value, hash function, bucket, collisions (chaining/open addressing), small example.\n", "tool_calls": [], "finish_reason": "length", "usage": {"prompt_tokens": 75, "completion_tokens": 128, "total_tokens": 203, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 75, "prompt_ms": 504.7, "prompt_per_token_ms": 6.729, "prompt_per_second": 148.6, "predicted_n": 128, "predicted_ms": 1036.9, "predicted_per_token_ms": 8.101, "predicted_per_second": 123.4, "draft_n": 113, "draft_n_accepted": 71}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 1.547337, "first_delta": {"offset_s": 0.533628, "kind": "reasoning"}, "first_answer_offset_s": 1.364015, "client_events": [[0.533628, "reasoning"], [0.554202, "reasoning"], [0.554231, "reasoning"], [0.574244, "reasoning"], [0.574264, "reasoning"], [0.574333, "reasoning"], [0.574375, "reasoning"], [0.594495, "reasoning"], [0.594533, "reasoning"], [0.594569, "reasoning"], [0.594611, "reasoning"], [0.6228, "reasoning"], [0.622842, "reasoning"], [0.622885, "reasoning"], [0.643161, "reasoning"], [0.643187, "reasoning"], [0.643205, "reasoning"], [0.643248, "reasoning"], [0.662515, "reasoning"], [0.66254, "reasoning"], [0.662559, "reasoning"], [0.662602, "reasoning"], [0.68252, "reasoning"], [0.682546, "reasoning"], [0.682582, "reasoning"], [0.682616, "reasoning"], [0.702466, "reasoning"], [0.702491, "reasoning"], [0.702519, "reasoning"], [0.702556, "reasoning"], [0.714545, "reasoning"], [0.741362, "reasoning"], [0.756018, "reasoning"], [0.756049, "reasoning"], [0.76813, "reasoning"], [0.785821, "reasoning"], [0.785846, "reasoning"], [0.785875, "reasoning"], [0.806071, "reasoning"], [0.806097, "reasoning"], [0.806131, "reasoning"], [0.806167, "reasoning"], [0.82434, "reasoning"], [0.824366, "reasoning"], [0.844125, "reasoning"], [0.855698, "reasoning"], [0.873811, "reasoning"], [0.873837, "reasoning"], [0.888901, "reasoning"], [0.888926, "reasoning"], [0.909576, "reasoning"], [0.921141, "reasoning"], [0.933518, "reasoning"], [0.951768, "reasoning"], [0.951792, "reasoning"], [0.966845, "reasoning"], [0.981787, "reasoning"], [1.001388, "reasoning"], [1.001414, "reasoning"], [1.001432, "reasoning"], [1.001479, "reasoning"], [1.022241, "reasoning"], [1.034292, "reasoning"], [1.054888, "reasoning"], [1.054914, "reasoning"], [1.054932, "reasoning"], [1.054972, "reasoning"], [1.070226, "reasoning"], [1.082379, "reasoning"], [1.102751, "reasoning"], [1.117636, "reasoning"], [1.117662, "reasoning"], [1.135835, "reasoning"], [1.148006, "reasoning"], [1.159647, "reasoning"], [1.1793, "reasoning"], [1.179327, "reasoning"], [1.190891, "reasoning"], [1.210573, "reasoning"], [1.23013, "reasoning"], [1.230156, "reasoning"], [1.230174, "reasoning"], [1.249446, "reasoning"], [1.269161, "reasoning"], [1.269187, "reasoning"], [1.289153, "reasoning"], [1.289179, "reasoning"], [1.289207, "reasoning"], [1.309077, "reasoning"], [1.309102, "reasoning"], [1.309135, "reasoning"], [1.32681, "reasoning"], [1.326836, "reasoning"], [1.326866, "reasoning"], [1.344765, "reasoning"], [1.344791, "reasoning"], [1.34482, "reasoning"], [1.364015, "answer"], [1.364041, "answer"], [1.383293, "answer"], [1.383371, "answer"], [1.383401, "answer"], [1.383419, "answer"], [1.398346, "answer"], [1.398371, "answer"], [1.413001, "answer"], [1.413027, "answer"], [1.430354, "answer"], [1.430379, "answer"], [1.430411, "answer"], [1.449435, "answer"], [1.44946, "answer"], [1.449489, "answer"], [1.449525, "answer"], [1.46997, "answer"], [1.469996, "answer"], [1.490081, "answer"], [1.490107, "answer"], [1.490145, "answer"], [1.507691, "answer"], [1.526905, "answer"], [1.526931, "answer"], [1.546969, "answer"], [1.546994, "answer"], [1.547013, "answer"]]} +{"request_id": "performance-short-r1", "phase": "performance", "case_id": "short", "request": {"stream": true, "stream_options": {"include_usage": true}, "max_tokens": 512, "seed": 1, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}}, "messages": [{"role": "user", "content": "[case performance-short-r1]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table stores **key–value pairs**. To find a value, it uses the key to compute a location:\n\n1. Hash the key to get a number.\n2. Use that number to find a bucket/index.\n3. Check that bucket for a matching key.\n4. If the key matches, return its value.\n\nA **collision** happens when two different keys hash to the same index. Hash tables handle this with techniques like:\n\n- **Separate chaining:** each bucket holds a list of entries.\n- **Open addressing:** if the slot is taken, probe nearby slots.\n\nSmall example, with chaining:\n\n```text\nindex 0:\nindex 1: (\"apple\", 5) -> (\"orange\", 8)\nindex 2:\n```\n\nFind `\"orange\"`:\n\n- `hash(\"orange\")` maps to index 1.\n- Look at index 1.\n- Check `\"apple\"`: no match.\n- Check `\"orange\"`: match.\n- Return `8`.", "reasoning": "We need answer user: \"Explain how a hash table finds a value, including collisions and one small example. We need provide final answer. User likely wants concise explanation. Need include hash table finds value: key -> hash function -> index -> bucket; if exact key found return value; collisions same index: separate chaining or open addressing; example. Need maybe \"case performance-short-r1\" perhaps some benchmark? Keep short? The case name says performance-short-r1 maybe expected short answer. But desired oververbosity 9? Hmm user asks explain including collisions and example. Keep reasonably concise. Could provide bullets and example. No need elaborate too much. 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theta.\nrecord000130: alpha beta gamma delta epsilon zeta eta theta.\nrecord000131: alpha beta gamma delta epsilon zeta eta theta.\nrecord000132: alpha beta gamma delta epsilon zeta eta theta.\nrecord000133: alpha beta gamma delta epsilon zeta eta theta.\nrecord000134: alpha beta gamma delta epsilon zeta eta theta.\nrecord000135: alpha beta gamma delta epsilon zeta eta theta.\nrecord000136: alpha beta gamma delta epsilon zeta eta theta.\nrecord000137: alpha beta gamma delta epsilon zeta eta theta.\nrecord000138: alpha beta gamma delta epsilon zeta eta theta.\nrecord000139: alpha beta gamma delta epsilon zeta eta theta.\nrecord000140: alpha beta gamma delta epsilon zeta eta theta.\nrecord000141: alpha beta gamma delta epsilon zeta eta theta.\nrecord000142: alpha beta gamma delta epsilon zeta eta theta.\nrecord000143: alpha beta gamma delta epsilon zeta eta theta.\nrecord000144: alpha beta gamma delta epsilon zeta eta theta.\nrecord000145: alpha beta gamma delta epsilon zeta eta theta.\nrecord000146: alpha beta gamma delta epsilon zeta eta theta.\nrecord000147: alpha beta gamma delta epsilon zeta eta theta.\nrecord000148: alpha beta gamma delta epsilon zeta eta theta.\nrecord000149: alpha beta gamma delta epsilon zeta eta theta.\nrecord000150: alpha beta gamma delta epsilon zeta eta theta.\nrecord000151: alpha beta gamma delta epsilon zeta eta theta.\nrecord000152: alpha beta gamma delta epsilon zeta eta theta.\nrecord000153: alpha beta gamma delta epsilon zeta eta theta.\nrecord000154: alpha beta gamma delta epsilon zeta eta theta.\nrecord000155: alpha beta gamma delta epsilon zeta eta theta.\nrecord000156: alpha beta gamma delta epsilon zeta eta theta.\nrecord000157: alpha beta gamma delta epsilon zeta eta theta.\nrecord000158: alpha beta gamma delta epsilon zeta eta theta.\nrecord000159: alpha beta gamma delta epsilon zeta eta theta.\nrecord000160: alpha beta gamma delta epsilon zeta eta theta.\nrecord000161: alpha beta gamma delta epsilon zeta eta theta.\nrecord000162: alpha beta gamma delta epsilon zeta eta theta.\nrecord000163: alpha beta gamma delta epsilon zeta eta theta.\nrecord000164: alpha beta gamma delta epsilon zeta eta theta.\nrecord000165: alpha beta gamma delta epsilon zeta eta theta.\nrecord000166: alpha beta gamma delta epsilon zeta eta theta.\nrecord000167: alpha beta gamma delta epsilon zeta eta theta.\nrecord000168: alpha beta gamma delta epsilon zeta eta theta.\nrecord000169: alpha beta gamma delta epsilon zeta eta theta.\nrecord000170: alpha beta gamma delta epsilon zeta eta theta.\nrecord000171: alpha beta gamma delta epsilon zeta eta theta.\nrecord000172: alpha beta gamma delta epsilon zeta eta theta.\nrecord000173: alpha beta gamma delta epsilon zeta eta theta.\nrecord000174: alpha beta gamma delta epsilon zeta eta theta.\nrecord000175: alpha beta gamma delta epsilon zeta eta theta.\nrecord000176: alpha beta gamma delta epsilon zeta eta theta.\nrecord000177: alpha beta gamma delta epsilon zeta eta theta.\nrecord000178: alpha beta gamma delta epsilon zeta eta theta.\nrecord000179: alpha beta gamma delta epsilon zeta eta theta.\nrecord000180: alpha beta gamma delta epsilon zeta eta theta.\nrecord000181: alpha beta gamma delta epsilon zeta eta theta.\nrecord000182: alpha beta gamma delta epsilon zeta eta theta.\nrecord000183: alpha beta gamma delta epsilon zeta eta theta.\nrecord000184: alpha beta gamma delta epsilon zeta eta theta.\nrecord000185: alpha beta gamma delta epsilon zeta eta theta.\nrecord000186: alpha beta gamma delta epsilon zeta eta theta.\nrecord000187: alpha beta gamma delta epsilon zeta eta theta.\nrecord000188: alpha beta gamma delta epsilon zeta eta theta.\nrecord000189: alpha beta gamma delta epsilon zeta eta theta.\nrecord000190: alpha beta gamma delta epsilon zeta eta theta.\nrecord000191: alpha beta gamma delta epsilon zeta eta theta.\nrecord000192: alpha beta gamma delta epsilon zeta eta theta.\nrecord000193: alpha beta gamma delta epsilon zeta eta theta.\nrecord000194: alpha beta gamma delta epsilon zeta eta theta.\nrecord000195: alpha beta gamma delta epsilon zeta eta theta.\nrecord000196: alpha beta gamma delta epsilon zeta eta theta.\nrecord000197: alpha beta gamma delta epsilon zeta eta theta.\nrecord000198: alpha beta gamma delta epsilon zeta eta theta.\nrecord000199: alpha beta gamma delta epsilon zeta eta theta.\nrecord000200: alpha beta gamma delta epsilon zeta eta theta.\nrecord000201: alpha beta gamma delta epsilon zeta eta theta.\nrecord000202: alpha beta gamma delta epsilon zeta eta theta.\nrecord000203: alpha beta gamma delta epsilon zeta eta theta.\nrecord000204: alpha beta gamma delta epsilon zeta eta theta.\nrecord000205: alpha beta gamma delta epsilon zeta eta theta.\nrecord000206: alpha beta gamma delta epsilon zeta eta theta.\nrecord000207: alpha beta gamma delta epsilon zeta eta theta.\nrecord000208: alpha beta gamma delta epsilon zeta eta theta.\nrecord000209: alpha beta gamma delta epsilon zeta eta theta.\nrecord000210: alpha beta gamma delta epsilon zeta eta theta.\nrecord000211: alpha beta gamma delta epsilon zeta eta theta.\nSummarize the structure of these records and explain how to look up a record by its ID."}], "tools": null, "final_answer": "Each record has a simple, uniform structure:\n\n```text\nrecord000001: alpha beta gamma delta epsilon zeta eta theta.\n```\n\nStructure:\n\n```text\nrecordID: fieldName1 fieldName2 fieldName3 fieldName4 fieldName5 fieldName6 fieldName7 fieldName8.\n```\n\nMore specifically:\n\n```text\nrecordNNNNNN: alpha beta gamma delta epsilon zeta eta theta.\n```\n\n- `recordNNNNNN` is the record ID.\n- The ID uses the prefix `record` followed by a six-digit, zero-padded number:\n - `record000001`\n - `record000010`\n - `record000155`\n- The colon separates the record ID from the record contents.\n- The contents are always the same eight words:\n - `alpha`\n - `beta`\n - `gamma`\n - `delta`\n - `epsilon`\n - `zeta`\n - `eta`\n - `theta`\n- Each record ends with a period.\n- The dataset contains 211 records, from `record000001` through `record000211`.\n\nExample record:\n\n```text\nrecord000155: alpha beta gamma delta epsilon zeta eta theta.\n```\n\nTo look up a record by its ID, search for the exact ID prefix at the beginning of the line, followed by a colon.\n\nFor example, to find record `record000155`, look for:\n\n```text\nrecord000155:\n```\n\nThe matching line would be:\n\n```text\nrecord000", "reasoning": "We need answer user's request. User provided many records, identical pattern, asks: \"Summarize the structure of these records and explain how to look up a record by its ID.\" Need final answer concise but detailed. Need likely mention each line has record ID format recordNNNNNN: followed by eight fields alpha...theta. IDs zero-padded six digits sequential. To look up by ID: exact match on prefix or parse before colon, e.g. record000155 returns that line; could use grep/awk. Need maybe note all records same payload, 211 records. Need perhaps include examples command. 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theta.\nrecord000434: alpha beta gamma delta epsilon zeta eta theta.\nrecord000435: alpha beta gamma delta epsilon zeta eta theta.\nrecord000436: alpha beta gamma delta epsilon zeta eta theta.\nrecord000437: alpha beta gamma delta epsilon zeta eta theta.\nrecord000438: alpha beta gamma delta epsilon zeta eta theta.\nrecord000439: alpha beta gamma delta epsilon zeta eta theta.\nrecord000440: alpha beta gamma delta epsilon zeta eta theta.\nrecord000441: alpha beta gamma delta epsilon zeta eta theta.\nrecord000442: alpha beta gamma delta epsilon zeta eta theta.\nrecord000443: alpha beta gamma delta epsilon zeta eta theta.\nrecord000444: alpha beta gamma delta epsilon zeta eta theta.\nrecord000445: alpha beta gamma delta epsilon zeta eta theta.\nrecord000446: alpha beta gamma delta epsilon zeta eta theta.\nrecord000447: alpha beta gamma delta epsilon zeta eta theta.\nrecord000448: alpha beta gamma delta epsilon zeta eta theta.\nrecord000449: alpha beta gamma delta epsilon zeta eta theta.\nrecord000450: alpha beta gamma delta epsilon zeta eta theta.\nrecord000451: alpha beta gamma delta epsilon zeta eta theta.\nrecord000452: alpha beta gamma delta epsilon zeta eta theta.\nrecord000453: alpha beta gamma delta epsilon zeta eta theta.\nrecord000454: alpha beta gamma delta epsilon zeta eta theta.\nrecord000455: alpha beta gamma delta epsilon zeta eta theta.\nrecord000456: alpha beta gamma delta epsilon zeta eta theta.\nrecord000457: alpha beta gamma delta epsilon zeta eta theta.\nrecord000458: alpha beta gamma delta epsilon zeta eta theta.\nrecord000459: alpha beta gamma delta epsilon zeta eta theta.\nrecord000460: alpha beta gamma delta epsilon zeta eta theta.\nrecord000461: alpha beta gamma delta epsilon zeta eta theta.\nrecord000462: alpha beta gamma delta epsilon zeta eta theta.\nrecord000463: alpha beta gamma delta epsilon zeta eta theta.\nrecord000464: alpha beta gamma delta epsilon zeta eta theta.\nrecord000465: alpha beta gamma delta epsilon zeta eta theta.\nrecord000466: alpha beta gamma delta epsilon zeta eta theta.\nrecord000467: alpha beta gamma delta epsilon zeta eta theta.\nrecord000468: alpha beta gamma delta epsilon zeta eta theta.\nrecord000469: alpha beta gamma delta epsilon zeta eta theta.\nrecord000470: alpha beta gamma delta epsilon zeta eta theta.\nrecord000471: alpha beta gamma delta epsilon zeta eta theta.\nrecord000472: alpha beta gamma delta epsilon zeta eta theta.\nrecord000473: alpha beta gamma delta epsilon zeta eta theta.\nrecord000474: alpha beta gamma delta epsilon zeta eta theta.\nrecord000475: alpha beta gamma delta epsilon zeta eta theta.\nrecord000476: alpha beta gamma delta epsilon zeta eta theta.\nrecord000477: alpha beta gamma delta epsilon zeta eta theta.\nrecord000478: alpha beta gamma delta epsilon zeta eta theta.\nrecord000479: alpha beta gamma delta epsilon zeta eta theta.\nrecord000480: alpha beta gamma delta epsilon zeta eta theta.\nrecord000481: alpha beta gamma delta epsilon zeta eta theta.\nrecord000482: alpha beta gamma delta epsilon zeta eta theta.\nrecord000483: alpha beta gamma delta epsilon zeta eta theta.\nrecord000484: alpha beta gamma delta epsilon zeta eta theta.\nrecord000485: alpha beta gamma delta epsilon zeta eta theta.\nrecord000486: alpha beta gamma delta epsilon zeta eta theta.\nrecord000487: alpha beta gamma delta epsilon zeta eta theta.\nrecord000488: alpha beta gamma delta epsilon zeta eta theta.\nrecord000489: alpha beta gamma delta epsilon zeta eta theta.\nrecord000490: alpha beta gamma delta epsilon zeta eta theta.\nrecord000491: alpha beta gamma delta epsilon zeta eta theta.\nrecord000492: alpha beta gamma delta epsilon zeta eta theta.\nrecord000493: alpha beta gamma delta epsilon zeta eta theta.\nrecord000494: alpha beta gamma delta epsilon zeta eta theta.\nrecord000495: alpha beta gamma delta epsilon zeta eta theta.\nrecord000496: alpha beta gamma delta epsilon zeta eta theta.\nrecord000497: alpha beta gamma delta epsilon zeta eta theta.\nrecord000498: alpha beta gamma delta epsilon zeta eta theta.\nrecord000499: alpha beta gamma delta epsilon zeta eta theta.\nrecord000500: alpha beta gamma delta epsilon zeta eta theta.\nrecord000501: alpha beta gamma delta epsilon zeta eta theta.\nrecord000502: alpha beta gamma delta epsilon zeta eta theta.\nrecord000503: alpha beta gamma delta epsilon zeta eta theta.\nrecord000504: alpha beta gamma delta epsilon zeta eta theta.\nrecord000505: alpha beta gamma delta epsilon zeta eta theta.\nrecord000506: alpha beta gamma delta epsilon zeta eta theta.\nrecord000507: alpha beta gamma delta epsilon zeta eta theta.\nrecord000508: alpha beta gamma delta epsilon zeta eta theta.\nrecord000509: alpha beta gamma delta epsilon zeta eta theta.\nrecord000510: alpha beta gamma delta epsilon zeta eta theta.\nrecord000511: alpha beta gamma delta epsilon zeta eta theta.\nrecord000512: alpha beta gamma delta epsilon zeta eta theta.\nrecord000513: alpha beta gamma delta epsilon zeta eta theta.\nrecord000514: alpha beta gamma delta epsilon zeta eta theta.\nrecord000515: alpha beta gamma delta epsilon zeta eta theta.\nrecord000516: alpha beta gamma delta epsilon zeta eta theta.\nrecord000517: alpha beta gamma delta epsilon zeta eta theta.\nrecord000518: alpha beta gamma delta epsilon zeta eta theta.\nrecord000519: alpha beta gamma delta epsilon zeta eta theta.\nrecord000520: alpha beta gamma delta epsilon zeta eta theta.\nrecord000521: alpha beta gamma delta epsilon zeta eta theta.\nrecord000522: alpha beta gamma delta epsilon zeta eta theta.\nrecord000523: alpha beta gamma delta epsilon zeta eta theta.\nrecord000524: alpha beta gamma delta epsilon zeta eta theta.\nrecord000525: alpha beta gamma delta epsilon zeta eta theta.\nrecord000526: alpha beta gamma delta epsilon zeta eta theta.\nrecord000527: alpha beta gamma delta epsilon zeta eta theta.\nrecord000528: alpha beta gamma delta epsilon zeta eta theta.\nrecord000529: alpha beta gamma delta epsilon zeta eta theta.\nrecord000530: alpha beta gamma delta epsilon zeta eta theta.\nrecord000531: alpha beta gamma delta epsilon zeta eta theta.\nrecord000532: alpha beta gamma delta epsilon zeta eta theta.\nrecord000533: alpha beta gamma delta epsilon zeta eta theta.\nrecord000534: alpha beta gamma delta epsilon zeta eta theta.\nrecord000535: alpha beta gamma delta epsilon zeta eta theta.\nrecord000536: alpha beta gamma delta epsilon zeta eta theta.\nrecord000537: alpha beta gamma delta epsilon zeta eta theta.\nrecord000538: alpha beta gamma delta epsilon zeta eta theta.\nrecord000539: alpha beta gamma delta epsilon zeta eta theta.\nrecord000540: alpha beta gamma delta epsilon zeta eta theta.\nrecord000541: alpha beta gamma delta epsilon zeta eta theta.\nrecord000542: alpha beta gamma delta epsilon zeta eta theta.\nrecord000543: alpha beta gamma delta epsilon zeta eta theta.\nrecord000544: alpha beta gamma delta epsilon zeta eta theta.\nrecord000545: alpha beta gamma delta epsilon zeta eta theta.\nrecord000546: alpha beta gamma delta epsilon zeta eta theta.\nrecord000547: alpha beta gamma delta epsilon zeta eta theta.\nrecord000548: alpha beta gamma delta epsilon zeta eta theta.\nrecord000549: alpha beta gamma delta epsilon zeta eta theta.\nrecord000550: alpha beta gamma delta epsilon zeta eta theta.\nrecord000551: alpha beta gamma delta epsilon zeta eta theta.\nrecord000552: alpha beta gamma delta epsilon zeta eta theta.\nrecord000553: alpha beta gamma delta epsilon zeta eta theta.\nrecord000554: alpha beta gamma delta epsilon zeta eta theta.\nrecord000555: alpha beta gamma delta epsilon zeta eta theta.\nrecord000556: alpha beta gamma delta epsilon zeta eta theta.\nrecord000557: alpha beta gamma delta epsilon zeta eta theta.\nrecord000558: alpha beta gamma delta epsilon zeta eta theta.\nrecord000559: alpha beta gamma delta epsilon zeta eta theta.\nrecord000560: alpha beta gamma delta epsilon zeta eta theta.\nrecord000561: alpha beta gamma delta epsilon zeta eta theta.\nrecord000562: alpha beta gamma delta epsilon zeta eta theta.\nrecord000563: alpha beta gamma delta epsilon zeta eta theta.\nrecord000564: alpha beta gamma delta epsilon zeta eta theta.\nrecord000565: alpha beta gamma delta epsilon zeta eta theta.\nrecord000566: alpha beta gamma delta epsilon zeta eta theta.\nrecord000567: alpha beta gamma delta epsilon zeta eta theta.\nrecord000568: alpha beta gamma delta epsilon zeta eta theta.\nrecord000569: alpha beta gamma delta epsilon zeta eta theta.\nrecord000570: alpha beta gamma delta epsilon zeta eta theta.\nrecord000571: alpha beta gamma delta epsilon zeta eta theta.\nrecord000572: alpha beta gamma delta epsilon zeta eta theta.\nrecord000573: alpha beta gamma delta epsilon zeta eta theta.\nrecord000574: alpha beta gamma delta epsilon zeta eta theta.\nrecord000575: alpha beta gamma delta epsilon zeta eta theta.\nrecord000576: alpha beta gamma delta epsilon zeta eta theta.\nrecord000577: alpha beta gamma delta epsilon zeta eta theta.\nrecord000578: alpha beta gamma delta epsilon zeta eta theta.\nrecord000579: alpha beta gamma delta epsilon zeta eta theta.\nrecord000580: alpha beta gamma delta epsilon zeta eta theta.\nrecord000581: alpha beta gamma delta epsilon zeta eta theta.\nrecord000582: alpha beta gamma delta epsilon zeta eta theta.\nrecord000583: alpha beta gamma delta epsilon zeta eta theta.\nrecord000584: alpha beta gamma delta epsilon zeta eta theta.\nrecord000585: alpha beta gamma delta epsilon zeta eta theta.\nrecord000586: alpha beta gamma delta epsilon zeta eta theta.\nrecord000587: alpha beta gamma delta epsilon zeta eta theta.\nrecord000588: alpha beta gamma delta epsilon zeta eta theta.\nrecord000589: alpha beta gamma delta epsilon zeta eta theta.\nrecord000590: alpha beta gamma delta epsilon zeta eta theta.\nrecord000591: alpha beta gamma delta epsilon zeta eta theta.\nrecord000592: alpha beta gamma delta epsilon zeta eta theta.\nrecord000593: alpha beta gamma delta epsilon zeta eta theta.\nrecord000594: alpha beta gamma delta epsilon zeta eta theta.\nrecord000595: alpha beta gamma delta epsilon zeta eta theta.\nrecord000596: alpha beta gamma delta epsilon zeta eta theta.\nrecord000597: alpha beta gamma delta epsilon zeta eta theta.\nrecord000598: alpha beta gamma delta epsilon zeta eta theta.\nrecord000599: alpha beta gamma delta epsilon zeta eta theta.\nrecord000600: alpha beta gamma delta epsilon zeta eta theta.\nrecord000601: alpha beta gamma delta epsilon zeta eta theta.\nrecord000602: alpha beta gamma delta epsilon zeta eta theta.\nrecord000603: alpha beta gamma delta epsilon zeta eta theta.\nrecord000604: alpha beta gamma delta epsilon zeta eta theta.\nrecord000605: alpha beta gamma delta epsilon zeta eta theta.\nrecord000606: alpha beta gamma delta epsilon zeta eta theta.\nrecord000607: alpha beta gamma delta epsilon zeta eta theta.\nrecord000608: alpha beta gamma delta epsilon zeta eta theta.\nrecord000609: alpha beta gamma delta epsilon zeta eta theta.\nrecord000610: alpha beta gamma delta epsilon zeta eta theta.\nrecord000611: alpha beta gamma delta epsilon zeta eta theta.\nrecord000612: alpha beta gamma delta epsilon zeta eta theta.\nrecord000613: alpha beta gamma delta epsilon zeta eta theta.\nrecord000614: alpha beta gamma delta epsilon zeta eta theta.\nrecord000615: alpha beta gamma delta epsilon zeta eta theta.\nrecord000616: alpha beta gamma delta epsilon zeta eta theta.\nrecord000617: alpha beta gamma delta epsilon zeta eta theta.\nrecord000618: alpha beta gamma delta epsilon zeta eta theta.\nrecord000619: alpha beta gamma delta epsilon zeta eta theta.\nrecord000620: alpha beta gamma delta epsilon zeta eta theta.\nrecord000621: alpha beta gamma delta epsilon zeta eta theta.\nrecord000622: alpha beta gamma delta epsilon zeta eta theta.\nrecord000623: alpha beta gamma delta epsilon zeta eta theta.\nrecord000624: alpha beta gamma delta epsilon zeta eta theta.\nrecord000625: alpha beta gamma delta epsilon zeta eta theta.\nrecord000626: alpha beta gamma delta epsilon zeta eta theta.\nrecord000627: alpha beta gamma delta epsilon zeta eta theta.\nrecord000628: alpha beta gamma delta epsilon zeta eta theta.\nrecord000629: alpha beta gamma delta epsilon zeta eta theta.\nrecord000630: alpha beta gamma delta epsilon zeta eta theta.\nrecord000631: alpha beta gamma delta epsilon zeta eta theta.\nrecord000632: alpha beta gamma delta epsilon zeta eta theta.\nrecord000633: alpha beta gamma delta epsilon zeta eta theta.\nrecord000634: alpha beta gamma delta epsilon zeta eta theta.\nrecord000635: alpha beta gamma delta epsilon zeta eta theta.\nrecord000636: alpha beta gamma delta epsilon zeta eta theta.\nrecord000637: alpha beta gamma delta epsilon zeta eta theta.\nrecord000638: alpha beta gamma delta epsilon zeta eta theta.\nrecord000639: alpha beta gamma delta epsilon zeta eta theta.\nrecord000640: alpha beta gamma delta epsilon zeta eta theta.\nrecord000641: alpha beta gamma delta epsilon zeta eta theta.\nrecord000642: alpha beta gamma delta epsilon zeta eta theta.\nrecord000643: alpha beta gamma delta epsilon zeta eta theta.\nrecord000644: alpha beta gamma delta epsilon zeta eta theta.\nrecord000645: alpha beta gamma delta epsilon zeta eta theta.\nrecord000646: alpha beta gamma delta epsilon zeta eta theta.\nrecord000647: alpha beta gamma delta epsilon zeta eta theta.\nrecord000648: alpha beta gamma delta epsilon zeta eta theta.\nrecord000649: alpha beta gamma delta epsilon zeta eta theta.\nrecord000650: alpha beta gamma delta epsilon zeta eta theta.\nrecord000651: alpha beta gamma delta epsilon zeta eta theta.\nrecord000652: alpha beta gamma delta epsilon zeta eta theta.\nrecord000653: alpha beta gamma delta epsilon zeta eta theta.\nrecord000654: alpha beta gamma delta epsilon zeta eta theta.\nrecord000655: alpha beta gamma delta epsilon zeta eta theta.\nrecord000656: alpha beta gamma delta epsilon zeta eta theta.\nrecord000657: alpha beta gamma delta epsilon zeta eta theta.\nrecord000658: alpha beta gamma delta epsilon zeta eta theta.\nrecord000659: alpha beta gamma delta epsilon zeta eta theta.\nrecord000660: alpha beta gamma delta epsilon zeta eta theta.\nrecord000661: alpha beta gamma delta epsilon zeta eta theta.\nrecord000662: alpha beta gamma delta epsilon zeta eta theta.\nrecord000663: alpha beta gamma delta epsilon zeta eta theta.\nrecord000664: alpha beta gamma delta epsilon zeta eta theta.\nrecord000665: alpha beta gamma delta epsilon zeta eta theta.\nrecord000666: alpha beta gamma delta epsilon zeta eta theta.\nrecord000667: alpha beta gamma delta epsilon zeta eta theta.\nrecord000668: alpha beta gamma delta epsilon zeta eta theta.\nrecord000669: alpha beta gamma delta epsilon zeta eta theta.\nrecord000670: alpha beta gamma delta epsilon zeta eta theta.\nrecord000671: alpha beta gamma delta epsilon zeta eta theta.\nrecord000672: alpha beta gamma delta epsilon zeta eta theta.\nrecord000673: alpha beta gamma delta epsilon zeta eta theta.\nrecord000674: alpha beta gamma delta epsilon zeta eta theta.\nrecord000675: alpha beta gamma delta epsilon zeta eta theta.\nrecord000676: alpha beta gamma delta epsilon zeta eta theta.\nrecord000677: alpha beta gamma delta epsilon zeta eta theta.\nrecord000678: alpha beta gamma delta epsilon zeta eta theta.\nrecord000679: alpha beta gamma delta epsilon zeta eta theta.\nrecord000680: alpha beta gamma delta epsilon zeta eta theta.\nrecord000681: alpha beta gamma delta epsilon zeta eta theta.\nrecord000682: alpha beta gamma delta epsilon zeta eta theta.\nrecord000683: alpha beta gamma delta epsilon zeta eta theta.\nrecord000684: alpha beta gamma delta epsilon zeta eta theta.\nrecord000685: alpha beta gamma delta epsilon zeta eta theta.\nrecord000686: alpha beta gamma delta epsilon zeta eta theta.\nrecord000687: alpha beta gamma delta epsilon zeta eta theta.\nrecord000688: alpha beta gamma delta epsilon zeta eta theta.\nrecord000689: alpha beta gamma delta epsilon zeta eta theta.\nrecord000690: alpha beta gamma delta epsilon zeta eta theta.\nrecord000691: alpha beta gamma delta epsilon zeta eta theta.\nrecord000692: alpha beta gamma delta epsilon zeta eta theta.\nrecord000693: alpha beta gamma delta epsilon zeta eta theta.\nrecord000694: alpha beta gamma delta epsilon zeta eta theta.\nrecord000695: alpha beta gamma delta epsilon zeta eta theta.\nrecord000696: alpha beta gamma delta epsilon zeta eta theta.\nrecord000697: alpha beta gamma delta epsilon zeta eta theta.\nrecord000698: alpha beta gamma delta epsilon zeta eta theta.\nrecord000699: alpha beta gamma delta epsilon zeta eta theta.\nrecord000700: alpha beta gamma delta epsilon zeta eta theta.\nrecord000701: alpha beta gamma delta epsilon zeta eta theta.\nrecord000702: alpha beta gamma delta epsilon zeta eta theta.\nrecord000703: alpha beta gamma delta epsilon zeta eta theta.\nrecord000704: alpha beta gamma delta epsilon zeta eta theta.\nrecord000705: alpha beta gamma delta epsilon zeta eta theta.\nrecord000706: alpha beta gamma delta epsilon zeta eta theta.\nrecord000707: alpha beta gamma delta epsilon zeta eta theta.\nrecord000708: alpha beta gamma delta epsilon zeta eta theta.\nrecord000709: alpha beta gamma delta epsilon zeta eta theta.\nrecord000710: alpha beta gamma delta epsilon zeta eta theta.\nrecord000711: alpha beta gamma delta epsilon zeta eta theta.\nrecord000712: alpha beta gamma delta epsilon zeta eta theta.\nrecord000713: alpha beta gamma delta epsilon zeta eta theta.\nrecord000714: alpha beta gamma delta epsilon zeta eta theta.\nrecord000715: alpha beta gamma delta epsilon zeta eta theta.\nrecord000716: alpha beta gamma delta epsilon zeta eta theta.\nrecord000717: alpha beta gamma delta epsilon zeta eta theta.\nrecord000718: alpha beta gamma delta epsilon zeta eta theta.\nrecord000719: alpha beta gamma delta epsilon zeta eta theta.\nrecord000720: alpha beta gamma delta epsilon zeta eta theta.\nrecord000721: alpha beta gamma delta epsilon zeta eta theta.\nrecord000722: alpha beta gamma delta epsilon zeta eta theta.\nrecord000723: alpha beta gamma delta epsilon zeta eta theta.\nrecord000724: alpha beta gamma delta epsilon zeta eta theta.\nrecord000725: alpha beta gamma delta epsilon zeta eta theta.\nrecord000726: alpha beta gamma delta epsilon zeta eta theta.\nrecord000727: alpha beta gamma delta epsilon zeta eta theta.\nrecord000728: alpha beta gamma delta epsilon zeta eta theta.\nrecord000729: alpha beta gamma delta epsilon zeta eta theta.\nrecord000730: alpha beta gamma delta epsilon zeta eta theta.\nrecord000731: alpha beta gamma delta epsilon zeta eta theta.\nrecord000732: alpha beta gamma delta epsilon zeta eta theta.\nrecord000733: alpha beta gamma delta epsilon zeta eta theta.\nrecord000734: alpha beta gamma delta epsilon zeta eta theta.\nrecord000735: alpha beta gamma delta epsilon zeta eta theta.\nrecord000736: alpha beta gamma delta epsilon zeta eta theta.\nrecord000737: alpha beta gamma delta epsilon zeta eta theta.\nrecord000738: alpha beta gamma delta epsilon zeta eta theta.\nrecord000739: alpha beta gamma delta epsilon zeta eta theta.\nrecord000740: alpha beta gamma delta epsilon zeta eta theta.\nrecord000741: alpha beta gamma delta epsilon zeta eta theta.\nrecord000742: alpha beta gamma delta epsilon zeta eta theta.\nrecord000743: alpha beta gamma delta epsilon zeta eta theta.\nrecord000744: alpha beta gamma delta epsilon zeta eta theta.\nrecord000745: alpha beta gamma delta epsilon zeta eta theta.\nrecord000746: alpha beta gamma delta epsilon zeta eta theta.\nrecord000747: alpha beta gamma delta epsilon zeta eta theta.\nrecord000748: alpha beta gamma delta epsilon zeta eta theta.\nrecord000749: alpha beta gamma delta epsilon zeta eta theta.\nrecord000750: alpha beta gamma delta epsilon zeta eta theta.\nrecord000751: alpha beta gamma delta epsilon zeta eta theta.\nrecord000752: alpha beta gamma delta epsilon zeta eta theta.\nrecord000753: alpha beta gamma delta epsilon zeta eta theta.\nrecord000754: alpha beta gamma delta epsilon zeta eta theta.\nrecord000755: alpha beta gamma delta epsilon zeta eta theta.\nrecord000756: alpha beta gamma delta epsilon zeta eta theta.\nrecord000757: alpha beta gamma delta epsilon zeta eta theta.\nrecord000758: alpha beta gamma delta epsilon zeta eta theta.\nrecord000759: alpha beta gamma delta epsilon zeta eta theta.\nrecord000760: alpha beta gamma delta epsilon zeta eta theta.\nrecord000761: alpha beta gamma delta epsilon zeta eta theta.\nrecord000762: alpha beta gamma delta epsilon zeta eta theta.\nrecord000763: alpha beta gamma delta epsilon zeta eta theta.\nrecord000764: alpha beta gamma delta epsilon zeta eta theta.\nrecord000765: alpha beta gamma delta epsilon zeta eta theta.\nrecord000766: alpha beta gamma delta epsilon zeta eta theta.\nrecord000767: alpha beta gamma delta epsilon zeta eta theta.\nrecord000768: alpha beta gamma delta epsilon zeta eta theta.\nrecord000769: alpha beta gamma delta epsilon zeta eta theta.\nrecord000770: alpha beta gamma delta epsilon zeta eta theta.\nrecord000771: alpha beta gamma delta epsilon zeta eta theta.\nrecord000772: alpha beta gamma delta epsilon zeta eta theta.\nrecord000773: alpha beta gamma delta epsilon zeta eta theta.\nrecord000774: alpha beta gamma delta epsilon zeta eta theta.\nrecord000775: alpha beta gamma delta epsilon zeta eta theta.\nrecord000776: alpha beta gamma delta epsilon zeta eta theta.\nrecord000777: alpha beta gamma delta epsilon zeta eta theta.\nrecord000778: alpha beta gamma delta epsilon zeta eta theta.\nrecord000779: alpha beta gamma delta epsilon zeta eta theta.\nrecord000780: alpha beta gamma delta epsilon zeta eta theta.\nrecord000781: alpha beta gamma delta epsilon zeta eta theta.\nrecord000782: alpha beta gamma delta epsilon zeta eta theta.\nrecord000783: alpha beta gamma delta epsilon zeta eta theta.\nrecord000784: alpha beta gamma delta epsilon zeta eta theta.\nrecord000785: alpha beta gamma delta epsilon zeta eta theta.\nrecord000786: alpha beta gamma delta epsilon zeta eta theta.\nrecord000787: alpha beta gamma delta epsilon zeta eta theta.\nrecord000788: alpha beta gamma delta epsilon zeta eta theta.\nrecord000789: alpha beta gamma delta epsilon zeta eta theta.\nrecord000790: alpha beta gamma delta epsilon zeta eta theta.\nrecord000791: alpha beta gamma delta epsilon zeta eta theta.\nrecord000792: alpha beta gamma delta epsilon zeta eta theta.\nrecord000793: alpha beta gamma delta epsilon zeta eta theta.\nrecord000794: alpha beta gamma delta epsilon zeta eta theta.\nrecord000795: alpha beta gamma delta epsilon zeta eta theta.\nrecord000796: alpha beta gamma delta epsilon zeta eta theta.\nrecord000797: alpha beta gamma delta epsilon zeta eta theta.\nrecord000798: alpha beta gamma delta epsilon zeta eta theta.\nrecord000799: alpha beta gamma delta epsilon zeta eta theta.\nrecord000800: alpha beta gamma delta epsilon zeta eta theta.\nrecord000801: alpha beta gamma delta epsilon zeta eta theta.\nrecord000802: alpha beta gamma delta epsilon zeta eta theta.\nrecord000803: alpha beta gamma delta epsilon zeta eta theta.\nrecord000804: alpha beta gamma delta epsilon zeta eta theta.\nrecord000805: alpha beta gamma delta epsilon zeta eta theta.\nrecord000806: alpha beta gamma delta epsilon zeta eta theta.\nrecord000807: alpha beta gamma delta epsilon zeta eta theta.\nrecord000808: alpha beta gamma delta epsilon zeta eta theta.\nrecord000809: alpha beta gamma delta epsilon zeta eta theta.\nrecord000810: alpha beta gamma delta epsilon zeta eta theta.\nrecord000811: alpha beta gamma delta epsilon zeta eta theta.\nrecord000812: alpha beta gamma delta epsilon zeta eta theta.\nrecord000813: alpha beta gamma delta epsilon zeta eta theta.\nrecord000814: alpha beta gamma delta epsilon zeta eta theta.\nrecord000815: alpha beta gamma delta epsilon zeta eta theta.\nrecord000816: alpha beta gamma delta epsilon zeta eta theta.\nrecord000817: alpha beta gamma delta epsilon zeta eta theta.\nrecord000818: alpha beta gamma delta epsilon zeta eta theta.\nrecord000819: alpha beta gamma delta epsilon zeta eta theta.\nrecord000820: alpha beta gamma delta epsilon zeta eta theta.\nrecord000821: alpha beta gamma delta epsilon zeta eta theta.\nrecord000822: alpha beta gamma delta epsilon zeta eta theta.\nrecord000823: alpha beta gamma delta epsilon zeta eta theta.\nrecord000824: alpha beta gamma delta epsilon zeta eta theta.\nrecord000825: alpha beta gamma delta epsilon zeta eta theta.\nrecord000826: alpha beta gamma delta epsilon zeta eta theta.\nrecord000827: alpha beta gamma delta epsilon zeta eta theta.\nrecord000828: alpha beta gamma delta epsilon zeta eta theta.\nrecord000829: alpha beta gamma delta epsilon zeta eta theta.\nrecord000830: alpha beta gamma delta epsilon zeta eta theta.\nrecord000831: alpha beta gamma delta epsilon zeta eta theta.\nrecord000832: alpha beta gamma delta epsilon zeta eta theta.\nrecord000833: alpha beta gamma delta epsilon zeta eta theta.\nrecord000834: alpha beta gamma delta epsilon zeta eta theta.\nrecord000835: alpha beta gamma delta epsilon zeta eta theta.\nrecord000836: alpha beta gamma delta epsilon zeta eta theta.\nrecord000837: alpha beta gamma delta epsilon zeta eta theta.\nrecord000838: alpha beta gamma delta epsilon zeta eta theta.\nrecord000839: alpha beta gamma delta epsilon zeta eta theta.\nrecord000840: alpha beta gamma delta epsilon zeta eta theta.\nrecord000841: alpha beta gamma delta epsilon zeta eta theta.\nrecord000842: alpha beta gamma delta epsilon zeta eta theta.\nrecord000843: alpha beta gamma delta epsilon zeta eta theta.\nrecord000844: alpha beta gamma delta epsilon zeta eta theta.\nrecord000845: alpha beta gamma delta epsilon zeta eta theta.\nrecord000846: alpha beta gamma delta epsilon zeta eta theta.\nrecord000847: alpha beta gamma delta epsilon zeta eta theta.\nrecord000848: alpha beta gamma delta epsilon zeta eta theta.\nrecord000849: alpha beta gamma delta epsilon zeta eta theta.\nrecord000850: alpha beta gamma delta epsilon zeta eta theta.\nrecord000851: alpha beta gamma delta epsilon zeta eta theta.\nrecord000852: alpha beta gamma delta epsilon zeta eta theta.\nrecord000853: alpha beta gamma delta epsilon zeta eta theta.\nrecord000854: alpha beta gamma delta epsilon zeta eta theta.\nrecord000855: alpha beta gamma delta epsilon zeta eta theta.\nrecord000856: alpha beta gamma delta epsilon zeta eta theta.\nrecord000857: alpha beta gamma delta epsilon zeta eta theta.\nrecord000858: alpha beta gamma delta epsilon zeta eta theta.\nSummarize the structure of these records and explain how to look up a record by its ID."}], "tools": null, "final_answer": "Each record has the same simple structure:\n\n```text\nrecordNNNNNN: alpha beta gamma delta epsilon zeta eta theta.\n```\n\n- **ID**: `recordNNNNNN`, where `NNNNNN` is a 6-digit zero-padded number.\n- **Separator**: `:` and a space.\n- **Payload/content**: the fixed text `alpha beta gamma delta epsilon zeta eta theta.`\n- **Sequence**: IDs run consecutively from `record000001` upward; the visible sample goes through `record000858`.\n- **Data value**: every ID shown maps to the same payload.\n\nTo look up a record by ID, find the line whose ID matches exactly. For example, for `record000042`:\n\n```text\nrecord000042: alpha beta gamma delta epsilon zeta eta theta.\n```\n\nIf stored in an ordered list or array with the first record at index 0, the record number can be converted to an index as:\n\n```text\nindex = numeric_ID - 1\n```\n\nSo:\n\n```text\nrecord000001 -> index 0\nrecord000042 -> index 41\nrecord000858 -> index 857\n```", "reasoning": "We need answer user. User provided a huge list of records 1-858, each same text: recordXXXXXX: alpha beta gamma delta epsilon zeta eta theta. Then asks: Summarize the structure of these records and explain how to look up a record by its ID.\n\nWe need final answer concise but thorough. Need mention structure: each record is a line, ID label record followed by 6 digits zero-padded, colon, then payload fixed sequence of eight Greek letters. IDs sequential from 000001 to 000858 (at least in sample). Lookup by ID: parse line matching exact recordID: prefix or index in list/array, e.g. construct key record000042 and retrieve corresponding line. Could mention if stored in array index ID-1. Need maybe mention if ID outside range not present. Since data repeated, content doesn't vary by ID.\n\nNeed ensure not too much. Could provide examples.\n", "tool_calls": [], "finish_reason": "stop", "usage": {"prompt_tokens": 16387, "completion_tokens": 489, "total_tokens": 16876, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 16387, "prompt_ms": 2831.1, "prompt_per_token_ms": 0.173, "prompt_per_second": 5788.2, "predicted_n": 489, "predicted_ms": 3959.7, "predicted_per_token_ms": 8.098, "predicted_per_second": 123.5, "draft_n": 416, "draft_n_accepted": 263}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 6.80685, "first_delta": {"offset_s": 2.85891, "kind": "reasoning"}, "first_answer_offset_s": 4.583181, "client_events": [[2.85891, "reasoning"], [2.879127, "reasoning"], [2.879153, "reasoning"], [2.879172, "reasoning"], [2.87921, "reasoning"], [2.894695, "reasoning"], [2.894721, "reasoning"], [2.907116, "reasoning"], [2.919034, "reasoning"], [2.938252, "reasoning"], [2.938278, "reasoning"], [2.938297, "reasoning"], [2.938334, "reasoning"], 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performance-short-r2]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table finds a value by using the key to compute an index, then looking in that “bucket” for the stored key/value pair.\n\n1. **Hash the key**: \n A hash function converts the key into a number.\n\n2. **Compute an index**: \n That number is mapped to a table index, often using modulo: \n `index = hash(key) % table_size`\n\n3. **Look up the bucket**: \n The table goes to that index and checks for the key.\n\n4. **Handle collisions**: \n A collision happens when two different keys hash to the same index. Common ways to handle collisions:\n - **Chaining**: each bucket stores a list of key/value pairs.\n - **Open addressing/probing**: if the slot is taken, search nearby slots.\n\n**Small example:**\n\nHash table size: 5 \nHash function: `hash(key) = key % 5`\n\nInsert:\n\n- `\"apple\" -> 10` \n hash(\"apple\") = 3 \n Store at index 3.\n\n- `\"banana\" -> 20` \n hash(\"banana\") = 3 \n Collision with \"apple\". If using chaining, index 3 now stores: \n `[(\"apple\", 10), (\"banana\", 20)]`\n\nTo find `\"banana\"`:\n\n1. Hash `\"banana\"` → 3.\n2. Go to index 3.\n3. Scan the list and find `\"banana\" -> 20`.\n\nSo a hash table finds values quickly by jumping directly to likely slots, then checking for collisions.", "reasoning": "We need answer user's request: \"Explain how a hash table finds a value, including collisions and one small example.\" Need produce final answer. Simple educational. Need likely concise but thorough. Cover hash function, bucket/index, key/value, search by hashing key, collisions, chaining/probing, rehash? small example. Ensure not overly complex.\n", "tool_calls": [], "finish_reason": "stop", "usage": {"prompt_tokens": 77, "completion_tokens": 419, "total_tokens": 496, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 77, "prompt_ms": 433.0, "prompt_per_token_ms": 5.623, "prompt_per_second": 177.8, "predicted_n": 419, "predicted_ms": 3065.9, "predicted_per_token_ms": 7.317, "predicted_per_second": 136.7, "draft_n": 385, "draft_n_accepted": 252}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 3.503134, "first_delta": {"offset_s": 0.448508, "kind": "reasoning"}, "first_answer_offset_s": 1.026823, "client_events": [[0.448508, "reasoning"], [0.467428, "reasoning"], [0.467448, "reasoning"], [0.467492, "reasoning"], [0.46753, "reasoning"], [0.487351, "reasoning"], [0.487372, "reasoning"], [0.487419, "reasoning"], [0.487457, "reasoning"], [0.507768, "reasoning"], [0.507789, "reasoning"], [0.507833, "reasoning"], [0.527092, "reasoning"], 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theta.\nrecord000190: alpha beta gamma delta epsilon zeta eta theta.\nrecord000191: alpha beta gamma delta epsilon zeta eta theta.\nrecord000192: alpha beta gamma delta epsilon zeta eta theta.\nrecord000193: alpha beta gamma delta epsilon zeta eta theta.\nrecord000194: alpha beta gamma delta epsilon zeta eta theta.\nrecord000195: alpha beta gamma delta epsilon zeta eta theta.\nrecord000196: alpha beta gamma delta epsilon zeta eta theta.\nrecord000197: alpha beta gamma delta epsilon zeta eta theta.\nrecord000198: alpha beta gamma delta epsilon zeta eta theta.\nrecord000199: alpha beta gamma delta epsilon zeta eta theta.\nrecord000200: alpha beta gamma delta epsilon zeta eta theta.\nrecord000201: alpha beta gamma delta epsilon zeta eta theta.\nrecord000202: alpha beta gamma delta epsilon zeta eta theta.\nrecord000203: alpha beta gamma delta epsilon zeta eta theta.\nrecord000204: alpha beta gamma delta epsilon zeta eta theta.\nrecord000205: alpha beta gamma delta epsilon zeta eta theta.\nrecord000206: alpha beta gamma delta epsilon zeta eta theta.\nrecord000207: alpha beta gamma delta epsilon zeta eta theta.\nrecord000208: alpha beta gamma delta epsilon zeta eta theta.\nrecord000209: alpha beta gamma delta epsilon zeta eta theta.\nrecord000210: alpha beta gamma delta epsilon zeta eta theta.\nrecord000211: alpha beta gamma delta epsilon zeta eta theta.\nSummarize the structure of these records and explain how to look up a record by its ID."}], "tools": null, "final_answer": "These records have a simple line-oriented structure:\n\n```text\nrecordID: field1 field2 field3 field4 field5 field6 field7 field8\n```\n\nExample:\n\n```text\nrecord000100: alpha beta gamma delta epsilon zeta eta theta\n```\n\n### Structure summary\n\nEach record consists of:\n\n1. **Record ID**\n - Format: `record` followed by a zero-padded numeric ID\n - Examples:\n - `record000001`\n - `record000100`\n - `record000211`\n\n2. **Separator**\n - A colon followed by a space: `: `\n\n3. **Record content**\n - A fixed sequence of eight word fields:\n - `alpha`\n - `beta`\n - `gamma`\n - `delta`\n - `epsilon`\n - `zeta`\n - `eta`\n - `theta`\n\nSo every record in the sample has the same payload:\n\n```text\nalpha beta gamma delta epsilon zeta eta theta\n```\n\n### How to look up a record by ID\n\nTo look up a record by its ID, treat the ID as the key and the text after", "reasoning": "We need answer user's request. User provided a long prompt with many records and asks: \"Summarize the structure of these records and explain how to look up a record by its ID.\" Need answer concise but detailed. Need maybe mention each line record followed by colon then fixed sequence Greek letters. IDs record000001 to record000211. Structure: zero-padded six-digit numeric ID, label, colon space, 8 tokens alpha...theta. Need lookup: parse ID string or pattern, exact match to record line, use map/index. Since all records identical payload, lookup by ID retrieves same content. Could explain steps: strip whitespace, split at first colon, key = left part, value = right part. Build dictionary: {record000001: 'alpha beta ... theta', ...}. To lookup record000175 returns value. Need maybe caution about padding and exact case. Need maybe mention if using line-based input. Final answer in English. Ensure not too verbose? desired 9, but user simple. 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theta.\nrecord000571: alpha beta gamma delta epsilon zeta eta theta.\nrecord000572: alpha beta gamma delta epsilon zeta eta theta.\nrecord000573: alpha beta gamma delta epsilon zeta eta theta.\nrecord000574: alpha beta gamma delta epsilon zeta eta theta.\nrecord000575: alpha beta gamma delta epsilon zeta eta theta.\nrecord000576: alpha beta gamma delta epsilon zeta eta theta.\nrecord000577: alpha beta gamma delta epsilon zeta eta theta.\nrecord000578: alpha beta gamma delta epsilon zeta eta theta.\nrecord000579: alpha beta gamma delta epsilon zeta eta theta.\nrecord000580: alpha beta gamma delta epsilon zeta eta theta.\nrecord000581: alpha beta gamma delta epsilon zeta eta theta.\nrecord000582: alpha beta gamma delta epsilon zeta eta theta.\nrecord000583: alpha beta gamma delta epsilon zeta eta theta.\nrecord000584: alpha beta gamma delta epsilon zeta eta theta.\nrecord000585: alpha beta gamma delta epsilon zeta eta theta.\nrecord000586: alpha beta gamma delta epsilon zeta eta 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theta.\nrecord000603: alpha beta gamma delta epsilon zeta eta theta.\nrecord000604: alpha beta gamma delta epsilon zeta eta theta.\nrecord000605: alpha beta gamma delta epsilon zeta eta theta.\nrecord000606: alpha beta gamma delta epsilon zeta eta theta.\nrecord000607: alpha beta gamma delta epsilon zeta eta theta.\nrecord000608: alpha beta gamma delta epsilon zeta eta theta.\nrecord000609: alpha beta gamma delta epsilon zeta eta theta.\nrecord000610: alpha beta gamma delta epsilon zeta eta theta.\nrecord000611: alpha beta gamma delta epsilon zeta eta theta.\nrecord000612: alpha beta gamma delta epsilon zeta eta theta.\nrecord000613: alpha beta gamma delta epsilon zeta eta theta.\nrecord000614: alpha beta gamma delta epsilon zeta eta theta.\nrecord000615: alpha beta gamma delta epsilon zeta eta theta.\nrecord000616: alpha beta gamma delta epsilon zeta eta theta.\nrecord000617: alpha beta gamma delta epsilon zeta eta theta.\nrecord000618: alpha beta gamma delta epsilon zeta eta theta.\nrecord000619: alpha beta gamma delta epsilon zeta eta theta.\nrecord000620: alpha beta gamma delta epsilon zeta eta theta.\nrecord000621: alpha beta gamma delta epsilon zeta eta theta.\nrecord000622: alpha beta gamma delta epsilon zeta eta theta.\nrecord000623: alpha beta gamma delta epsilon zeta eta theta.\nrecord000624: alpha beta gamma delta epsilon zeta eta theta.\nrecord000625: alpha beta gamma delta epsilon zeta eta theta.\nrecord000626: alpha beta gamma delta epsilon zeta eta theta.\nrecord000627: alpha beta gamma delta epsilon zeta eta theta.\nrecord000628: alpha beta gamma delta epsilon zeta eta theta.\nrecord000629: alpha beta gamma delta epsilon zeta eta theta.\nrecord000630: alpha beta gamma delta epsilon zeta eta theta.\nrecord000631: alpha beta gamma delta epsilon zeta eta theta.\nrecord000632: alpha beta gamma delta epsilon zeta eta theta.\nrecord000633: alpha beta gamma delta epsilon zeta eta theta.\nrecord000634: alpha beta gamma delta epsilon zeta eta theta.\nrecord000635: alpha beta gamma delta epsilon zeta eta theta.\nrecord000636: alpha beta gamma delta epsilon zeta eta theta.\nrecord000637: alpha beta gamma delta epsilon zeta eta theta.\nrecord000638: alpha beta gamma delta epsilon zeta eta theta.\nrecord000639: alpha beta gamma delta epsilon zeta eta theta.\nrecord000640: alpha beta gamma delta epsilon zeta eta theta.\nrecord000641: alpha beta gamma delta epsilon zeta eta theta.\nrecord000642: alpha beta gamma delta epsilon zeta eta theta.\nrecord000643: alpha beta gamma delta epsilon zeta eta theta.\nrecord000644: alpha beta gamma delta epsilon zeta eta theta.\nrecord000645: alpha beta gamma delta epsilon zeta eta theta.\nrecord000646: alpha beta gamma delta epsilon zeta eta theta.\nrecord000647: alpha beta gamma delta epsilon zeta eta theta.\nrecord000648: alpha beta gamma delta epsilon zeta eta theta.\nrecord000649: alpha beta gamma delta epsilon zeta eta theta.\nrecord000650: alpha beta gamma delta epsilon zeta eta theta.\nrecord000651: alpha beta gamma delta epsilon zeta eta theta.\nrecord000652: alpha beta gamma delta epsilon zeta eta theta.\nrecord000653: alpha beta gamma delta epsilon zeta eta theta.\nrecord000654: alpha beta gamma delta epsilon zeta eta theta.\nrecord000655: alpha beta gamma delta epsilon zeta eta theta.\nrecord000656: alpha beta gamma delta epsilon zeta eta theta.\nrecord000657: alpha beta gamma delta epsilon zeta eta theta.\nrecord000658: alpha beta gamma delta epsilon zeta eta theta.\nrecord000659: alpha beta gamma delta epsilon zeta eta theta.\nrecord000660: alpha beta gamma delta epsilon zeta eta theta.\nrecord000661: alpha beta gamma delta epsilon zeta eta theta.\nrecord000662: alpha beta gamma delta epsilon zeta eta theta.\nrecord000663: alpha beta gamma delta epsilon zeta eta theta.\nrecord000664: alpha beta gamma delta epsilon zeta eta theta.\nrecord000665: alpha beta gamma delta epsilon zeta eta theta.\nrecord000666: alpha beta gamma delta epsilon zeta eta theta.\nrecord000667: alpha beta gamma delta epsilon zeta eta theta.\nrecord000668: alpha beta gamma delta epsilon zeta eta theta.\nrecord000669: alpha beta gamma delta epsilon zeta eta theta.\nrecord000670: alpha beta gamma delta epsilon zeta eta theta.\nrecord000671: alpha beta gamma delta epsilon zeta eta theta.\nrecord000672: alpha beta gamma delta epsilon zeta eta theta.\nrecord000673: alpha beta gamma delta epsilon zeta eta theta.\nrecord000674: alpha beta gamma delta epsilon zeta eta theta.\nrecord000675: alpha beta gamma delta epsilon zeta eta theta.\nrecord000676: alpha beta gamma delta epsilon zeta eta theta.\nrecord000677: alpha beta gamma delta epsilon zeta eta theta.\nrecord000678: alpha beta gamma delta epsilon zeta eta theta.\nrecord000679: alpha beta gamma delta epsilon zeta eta theta.\nrecord000680: alpha beta gamma delta epsilon zeta eta theta.\nrecord000681: alpha beta gamma delta epsilon zeta eta theta.\nrecord000682: alpha beta gamma delta epsilon zeta eta theta.\nrecord000683: alpha beta gamma delta epsilon zeta eta theta.\nrecord000684: alpha beta gamma delta epsilon zeta eta theta.\nrecord000685: alpha beta gamma delta epsilon zeta eta theta.\nrecord000686: alpha beta gamma delta epsilon zeta eta theta.\nrecord000687: alpha beta gamma delta epsilon zeta eta theta.\nrecord000688: alpha beta gamma delta epsilon zeta eta theta.\nrecord000689: alpha beta gamma delta epsilon zeta eta theta.\nrecord000690: alpha beta gamma delta epsilon zeta eta theta.\nrecord000691: alpha beta gamma delta epsilon zeta eta theta.\nrecord000692: alpha beta gamma delta epsilon zeta eta theta.\nrecord000693: alpha beta gamma delta epsilon zeta eta theta.\nrecord000694: alpha beta gamma delta epsilon zeta eta theta.\nrecord000695: alpha beta gamma delta epsilon zeta eta theta.\nrecord000696: alpha beta gamma delta epsilon zeta eta theta.\nrecord000697: alpha beta gamma delta epsilon zeta eta theta.\nrecord000698: alpha beta gamma delta epsilon zeta eta theta.\nrecord000699: alpha beta gamma delta epsilon zeta eta theta.\nrecord000700: alpha beta gamma delta epsilon zeta eta theta.\nrecord000701: alpha beta gamma delta epsilon zeta eta theta.\nrecord000702: alpha beta gamma delta epsilon zeta eta theta.\nrecord000703: alpha beta gamma delta epsilon zeta eta theta.\nrecord000704: alpha beta gamma delta epsilon zeta eta theta.\nrecord000705: alpha beta gamma delta epsilon zeta eta theta.\nrecord000706: alpha beta gamma delta epsilon zeta eta theta.\nrecord000707: alpha beta gamma delta epsilon zeta eta theta.\nrecord000708: alpha beta gamma delta epsilon zeta eta theta.\nrecord000709: alpha beta gamma delta epsilon zeta eta theta.\nrecord000710: alpha beta gamma delta epsilon zeta eta theta.\nrecord000711: alpha beta gamma delta epsilon zeta eta theta.\nrecord000712: alpha beta gamma delta epsilon zeta eta theta.\nrecord000713: alpha beta gamma delta epsilon zeta eta theta.\nrecord000714: alpha beta gamma delta epsilon zeta eta theta.\nrecord000715: alpha beta gamma delta epsilon zeta eta theta.\nrecord000716: alpha beta gamma delta epsilon zeta eta theta.\nrecord000717: alpha beta gamma delta epsilon zeta eta theta.\nrecord000718: alpha beta gamma delta epsilon zeta eta theta.\nrecord000719: alpha beta gamma delta epsilon zeta eta theta.\nrecord000720: alpha beta gamma delta epsilon zeta eta theta.\nrecord000721: alpha beta gamma delta epsilon zeta eta theta.\nrecord000722: alpha beta gamma delta epsilon zeta eta theta.\nrecord000723: alpha beta gamma delta epsilon zeta eta theta.\nrecord000724: alpha beta gamma delta epsilon zeta eta theta.\nrecord000725: alpha beta gamma delta epsilon zeta eta theta.\nrecord000726: alpha beta gamma delta epsilon zeta eta theta.\nrecord000727: alpha beta gamma delta epsilon zeta eta theta.\nrecord000728: alpha beta gamma delta epsilon zeta eta theta.\nrecord000729: alpha beta gamma delta epsilon zeta eta theta.\nrecord000730: alpha beta gamma delta epsilon zeta eta theta.\nrecord000731: alpha beta gamma delta epsilon zeta eta theta.\nrecord000732: alpha beta gamma delta epsilon zeta eta theta.\nrecord000733: alpha beta gamma delta epsilon zeta eta theta.\nrecord000734: alpha beta gamma delta epsilon zeta eta theta.\nrecord000735: alpha beta gamma delta epsilon zeta eta theta.\nrecord000736: alpha beta gamma delta epsilon zeta eta theta.\nrecord000737: alpha beta gamma delta epsilon zeta eta theta.\nrecord000738: alpha beta gamma delta epsilon zeta eta theta.\nrecord000739: alpha beta gamma delta epsilon zeta eta theta.\nrecord000740: alpha beta gamma delta epsilon zeta eta theta.\nrecord000741: alpha beta gamma delta epsilon zeta eta theta.\nrecord000742: alpha beta gamma delta epsilon zeta eta theta.\nrecord000743: alpha beta gamma delta epsilon zeta eta theta.\nrecord000744: alpha beta gamma delta epsilon zeta eta theta.\nrecord000745: alpha beta gamma delta epsilon zeta eta theta.\nrecord000746: alpha beta gamma delta epsilon zeta eta theta.\nrecord000747: alpha beta gamma delta epsilon zeta eta theta.\nrecord000748: alpha beta gamma delta epsilon zeta eta theta.\nrecord000749: alpha beta gamma delta epsilon zeta eta theta.\nrecord000750: alpha beta gamma delta epsilon zeta eta theta.\nrecord000751: alpha beta gamma delta epsilon zeta eta theta.\nrecord000752: alpha beta gamma delta epsilon zeta eta theta.\nrecord000753: alpha beta gamma delta epsilon zeta eta theta.\nrecord000754: alpha beta gamma delta epsilon zeta eta theta.\nrecord000755: alpha beta gamma delta epsilon zeta eta theta.\nrecord000756: alpha beta gamma delta epsilon zeta eta theta.\nrecord000757: alpha beta gamma delta epsilon zeta eta theta.\nrecord000758: alpha beta gamma delta epsilon zeta eta theta.\nrecord000759: alpha beta gamma delta epsilon zeta eta theta.\nrecord000760: alpha beta gamma delta epsilon zeta eta theta.\nrecord000761: alpha beta gamma delta epsilon zeta eta theta.\nrecord000762: alpha beta gamma delta epsilon zeta eta theta.\nrecord000763: alpha beta gamma delta epsilon zeta eta theta.\nrecord000764: alpha beta gamma delta epsilon zeta eta theta.\nrecord000765: alpha beta gamma delta epsilon zeta eta theta.\nrecord000766: alpha beta gamma delta epsilon zeta eta theta.\nrecord000767: alpha beta gamma delta epsilon zeta eta theta.\nrecord000768: alpha beta gamma delta epsilon zeta eta theta.\nrecord000769: alpha beta gamma delta epsilon zeta eta theta.\nrecord000770: alpha beta gamma delta epsilon zeta eta theta.\nrecord000771: alpha beta gamma delta epsilon zeta eta theta.\nrecord000772: alpha beta gamma delta epsilon zeta eta theta.\nrecord000773: alpha beta gamma delta epsilon zeta eta theta.\nrecord000774: alpha beta gamma delta epsilon zeta eta theta.\nrecord000775: alpha beta gamma delta epsilon zeta eta theta.\nrecord000776: alpha beta gamma delta epsilon zeta eta theta.\nrecord000777: alpha beta gamma delta epsilon zeta eta theta.\nrecord000778: alpha beta gamma delta epsilon zeta eta theta.\nrecord000779: alpha beta gamma delta epsilon zeta eta theta.\nrecord000780: alpha beta gamma delta epsilon zeta eta theta.\nrecord000781: alpha beta gamma delta epsilon zeta eta theta.\nrecord000782: alpha beta gamma delta epsilon zeta eta theta.\nrecord000783: alpha beta gamma delta epsilon zeta eta theta.\nrecord000784: alpha beta gamma delta epsilon zeta eta theta.\nrecord000785: alpha beta gamma delta epsilon zeta eta theta.\nrecord000786: alpha beta gamma delta epsilon zeta eta theta.\nrecord000787: alpha beta gamma delta epsilon zeta eta theta.\nrecord000788: alpha beta gamma delta epsilon zeta eta theta.\nrecord000789: alpha beta gamma delta epsilon zeta eta theta.\nrecord000790: alpha beta gamma delta epsilon zeta eta theta.\nrecord000791: alpha beta gamma delta epsilon zeta eta theta.\nrecord000792: alpha beta gamma delta epsilon zeta eta theta.\nrecord000793: alpha beta gamma delta epsilon zeta eta theta.\nrecord000794: alpha beta gamma delta epsilon zeta eta theta.\nrecord000795: alpha beta gamma delta epsilon zeta eta theta.\nrecord000796: alpha beta gamma delta epsilon zeta eta theta.\nrecord000797: alpha beta gamma delta epsilon zeta eta theta.\nrecord000798: alpha beta gamma delta epsilon zeta eta theta.\nrecord000799: alpha beta gamma delta epsilon zeta eta theta.\nrecord000800: alpha beta gamma delta epsilon zeta eta theta.\nrecord000801: alpha beta gamma delta epsilon zeta eta theta.\nrecord000802: alpha beta gamma delta epsilon zeta eta theta.\nrecord000803: alpha beta gamma delta epsilon zeta eta theta.\nrecord000804: alpha beta gamma delta epsilon zeta eta theta.\nrecord000805: alpha beta gamma delta epsilon zeta eta theta.\nrecord000806: alpha beta gamma delta epsilon zeta eta theta.\nrecord000807: alpha beta gamma delta epsilon zeta eta theta.\nrecord000808: alpha beta gamma delta epsilon zeta eta theta.\nrecord000809: alpha beta gamma delta epsilon zeta eta theta.\nrecord000810: alpha beta gamma delta epsilon zeta eta theta.\nrecord000811: alpha beta gamma delta epsilon zeta eta theta.\nrecord000812: alpha beta gamma delta epsilon zeta eta theta.\nrecord000813: alpha beta gamma delta epsilon zeta eta theta.\nrecord000814: alpha beta gamma delta epsilon zeta eta theta.\nrecord000815: alpha beta gamma delta epsilon zeta eta theta.\nrecord000816: alpha beta gamma delta epsilon zeta eta theta.\nrecord000817: alpha beta gamma delta epsilon zeta eta theta.\nrecord000818: alpha beta gamma delta epsilon zeta eta theta.\nrecord000819: alpha beta gamma delta epsilon zeta eta theta.\nrecord000820: alpha beta gamma delta epsilon zeta eta theta.\nrecord000821: alpha beta gamma delta epsilon zeta eta theta.\nrecord000822: alpha beta gamma delta epsilon zeta eta theta.\nrecord000823: alpha beta gamma delta epsilon zeta eta theta.\nrecord000824: alpha beta gamma delta epsilon zeta eta theta.\nrecord000825: alpha beta gamma delta epsilon zeta eta theta.\nrecord000826: alpha beta gamma delta epsilon zeta eta theta.\nrecord000827: alpha beta gamma delta epsilon zeta eta theta.\nrecord000828: alpha beta gamma delta epsilon zeta eta theta.\nrecord000829: alpha beta gamma delta epsilon zeta eta theta.\nrecord000830: alpha beta gamma delta epsilon zeta eta theta.\nrecord000831: alpha beta gamma delta epsilon zeta eta theta.\nrecord000832: alpha beta gamma delta epsilon zeta eta theta.\nrecord000833: alpha beta gamma delta epsilon zeta eta theta.\nrecord000834: alpha beta gamma delta epsilon zeta eta theta.\nrecord000835: alpha beta gamma delta epsilon zeta eta theta.\nrecord000836: alpha beta gamma delta epsilon zeta eta theta.\nrecord000837: alpha beta gamma delta epsilon zeta eta theta.\nrecord000838: alpha beta gamma delta epsilon zeta eta theta.\nrecord000839: alpha beta gamma delta epsilon zeta eta theta.\nrecord000840: alpha beta gamma delta epsilon zeta eta theta.\nrecord000841: alpha beta gamma delta epsilon zeta eta theta.\nrecord000842: alpha beta gamma delta epsilon zeta eta theta.\nrecord000843: alpha beta gamma delta epsilon zeta eta theta.\nrecord000844: alpha beta gamma delta epsilon zeta eta theta.\nrecord000845: alpha beta gamma delta epsilon zeta eta theta.\nrecord000846: alpha beta gamma delta epsilon zeta eta theta.\nrecord000847: alpha beta gamma delta epsilon zeta eta theta.\nrecord000848: alpha beta gamma delta epsilon zeta eta theta.\nrecord000849: alpha beta gamma delta epsilon zeta eta theta.\nrecord000850: alpha beta gamma delta epsilon zeta eta theta.\nrecord000851: alpha beta gamma delta epsilon zeta eta theta.\nrecord000852: alpha beta gamma delta epsilon zeta eta theta.\nrecord000853: alpha beta gamma delta epsilon zeta eta theta.\nrecord000854: alpha beta gamma delta epsilon zeta eta theta.\nrecord000855: alpha beta gamma delta epsilon zeta eta theta.\nrecord000856: alpha beta gamma delta epsilon zeta eta theta.\nrecord000857: alpha beta gamma delta epsilon zeta eta theta.\nrecord000858: alpha beta gamma delta epsilon zeta eta theta.\nSummarize the structure of these records and explain how to look up a record by its ID."}], "tools": null, "final_answer": "Each record has the same simple structure:\n\n```text\nrecord000001: alpha beta gamma delta epsilon zeta eta theta\n```\n\n- **Record ID**: `record` followed by a zero-padded 6-digit number, e.g. `record000001`.\n- **Separator**: `: `\n- **Payload**: the fixed text \n `alpha beta gamma delta epsilon zeta eta theta`\n\nThe IDs appear sequential from:\n\n```text\nrecord000001\n...\nrecord000858\n```\n\nSo the collection is effectively a line-delimited record file where each line is", "reasoning": "We need answer user's request. User provided huge repeated records and asks: \"Summarize the structure of these records and explain how to look up a record by its ID.\" Need likely analyze from prompt: records ID record000001 to record000858? Each line: recordNNNNNN: alpha beta gamma delta epsilon zeta eta theta. Need summarize structure: fixed format key: value, ID prefix zero-padded six digits? record + six digits, colon space, payload eight Greek words? alpha beta gamma delta epsilon zeta eta theta. Maybe line-delimited text/log. Lookup by ID: use exact ID as line prefix; parse line by colon to get value; if sorted sequential, binary search possible because IDs increasing and zero-padded lex order equals numeric order. Also perhaps in a list, index = numeric id? Since IDs start at 1 and sequential, if all present and no gaps, lookup recordID = records[id] if array 1-indexed or records[id-1] if 0-indexed, but robust method should search by ID. Need maybe mention for 858 records? Count? Let's verify lines start at 1 and end 858. The user included up to record000858. Could count: 858 lines. Need answer maybe concise but detailed. Need avoid listing all. Also maybe mention ID format: \"record%06d\". Payload constant. Maybe lookup: strip ID to number: int(record_id.removeprefix('record')), then compute offset. But if missing/duplicates, use map/dictionary from ID to record. If file text, grep exact prefix '^record000423:'. Could provide pseudocode. Also mention case-insensitive? no. Need final only.\n", "tool_calls": [], "finish_reason": "length", "usage": {"prompt_tokens": 16387, "completion_tokens": 512, "total_tokens": 16899, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 16387, "prompt_ms": 2840.0, "prompt_per_token_ms": 0.173, "prompt_per_second": 5770.1, "predicted_n": 512, "predicted_ms": 4360.8, "predicted_per_token_ms": 8.517, "predicted_per_second": 117.4, "draft_n": 354, "draft_n_accepted": 239}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 7.216399, "first_delta": {"offset_s": 2.866798, "kind": "reasoning"}, "first_answer_offset_s": 6.277836, "client_events": [[2.866798, "reasoning"], [2.886392, "reasoning"], [2.88642, "reasoning"], [2.88644, "reasoning"], [2.886484, "reasoning"], [2.906181, "reasoning"], [2.906208, "reasoning"], [2.906226, "reasoning"], [2.906266, "reasoning"], [2.918123, "reasoning"], [2.937382, "reasoning"], [2.955154, "reasoning"], [2.95518, "reasoning"], 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zeta eta theta.\nrecord000020: alpha beta gamma delta epsilon zeta eta theta.\nrecord000021: alpha beta gamma delta epsilon zeta eta theta.\nrecord000022: alpha beta gamma delta epsilon zeta eta theta.\nrecord000023: alpha beta gamma delta epsilon zeta eta theta.\nrecord000024: alpha beta gamma delta epsilon zeta eta theta.\nrecord000025: alpha beta gamma delta epsilon zeta eta theta.\nrecord000026: alpha beta gamma delta epsilon zeta eta theta.\nrecord000027: alpha beta gamma delta epsilon zeta eta theta.\nrecord000028: alpha beta gamma delta epsilon zeta eta theta.\nrecord000029: alpha beta gamma delta epsilon zeta eta theta.\nrecord000030: alpha beta gamma delta epsilon zeta eta theta.\nrecord000031: alpha beta gamma delta epsilon zeta eta theta.\nrecord000032: alpha beta gamma delta epsilon zeta eta theta.\nrecord000033: alpha beta gamma delta epsilon zeta eta theta.\nrecord000034: alpha beta gamma delta epsilon zeta eta theta.\nrecord000035: alpha beta gamma delta epsilon zeta eta theta.\nrecord000036: alpha beta gamma delta epsilon zeta eta theta.\nrecord000037: alpha beta gamma delta epsilon zeta eta theta.\nrecord000038: alpha beta gamma delta epsilon zeta eta theta.\nrecord000039: alpha beta gamma delta epsilon zeta eta theta.\nrecord000040: alpha beta gamma delta epsilon zeta eta theta.\nrecord000041: alpha beta gamma delta epsilon zeta eta theta.\nrecord000042: alpha beta gamma delta epsilon zeta eta theta.\nrecord000043: alpha beta gamma delta epsilon zeta eta theta.\nrecord000044: alpha beta gamma delta epsilon zeta eta theta.\nrecord000045: alpha beta gamma delta epsilon zeta eta theta.\nrecord000046: alpha beta gamma delta epsilon zeta eta theta.\nrecord000047: alpha beta gamma delta epsilon zeta eta theta.\nrecord000048: alpha beta gamma delta epsilon zeta eta theta.\nrecord000049: alpha beta gamma delta epsilon zeta eta theta.\nrecord000050: alpha beta gamma delta epsilon zeta eta theta.\nrecord000051: alpha beta gamma delta epsilon zeta eta theta.\nrecord000052: alpha beta gamma delta epsilon zeta eta theta.\nrecord000053: alpha beta gamma delta epsilon zeta eta theta.\nrecord000054: alpha beta gamma delta epsilon zeta eta theta.\nrecord000055: alpha beta gamma delta epsilon zeta eta theta.\nrecord000056: alpha beta gamma delta epsilon zeta eta theta.\nrecord000057: alpha beta gamma delta epsilon zeta eta theta.\nrecord000058: alpha beta gamma delta epsilon zeta eta theta.\nrecord000059: alpha beta gamma delta epsilon zeta eta theta.\nrecord000060: alpha beta gamma delta epsilon zeta eta theta.\nrecord000061: alpha beta gamma delta epsilon zeta eta theta.\nrecord000062: alpha beta gamma delta epsilon zeta eta theta.\nrecord000063: alpha beta gamma delta epsilon zeta eta theta.\nrecord000064: alpha beta gamma delta epsilon zeta eta theta.\nrecord000065: alpha beta gamma delta epsilon zeta eta theta.\nrecord000066: alpha beta gamma delta epsilon zeta eta theta.\nrecord000067: alpha beta gamma delta epsilon zeta eta theta.\nrecord000068: alpha beta gamma delta epsilon zeta eta theta.\nrecord000069: alpha beta gamma delta epsilon zeta eta theta.\nrecord000070: alpha beta gamma delta epsilon zeta eta theta.\nrecord000071: alpha beta gamma delta epsilon zeta eta theta.\nrecord000072: alpha beta gamma delta epsilon zeta eta theta.\nrecord000073: alpha beta gamma delta epsilon zeta eta theta.\nrecord000074: alpha beta gamma delta epsilon zeta eta theta.\nrecord000075: alpha beta gamma delta epsilon zeta eta theta.\nrecord000076: alpha beta gamma delta epsilon zeta eta theta.\nrecord000077: alpha beta gamma delta epsilon zeta eta theta.\nrecord000078: alpha beta gamma delta epsilon zeta eta theta.\nrecord000079: alpha beta gamma delta epsilon zeta eta theta.\nrecord000080: alpha beta gamma delta epsilon zeta eta theta.\nrecord000081: alpha beta gamma delta epsilon zeta eta theta.\nrecord000082: alpha beta gamma delta epsilon zeta eta theta.\nrecord000083: alpha beta gamma delta epsilon zeta eta theta.\nrecord000084: alpha beta gamma delta epsilon zeta eta theta.\nrecord000085: alpha beta gamma delta epsilon zeta eta theta.\nrecord000086: alpha beta gamma delta epsilon zeta eta theta.\nrecord000087: alpha beta gamma delta epsilon zeta eta theta.\nrecord000088: alpha beta gamma delta epsilon zeta eta theta.\nrecord000089: alpha beta gamma delta epsilon zeta eta theta.\nrecord000090: alpha beta gamma delta epsilon zeta eta theta.\nrecord000091: alpha beta gamma delta epsilon zeta eta theta.\nrecord000092: alpha beta gamma delta epsilon zeta eta theta.\nrecord000093: alpha beta gamma delta epsilon zeta eta theta.\nrecord000094: alpha beta gamma delta epsilon zeta eta theta.\nrecord000095: alpha beta gamma delta epsilon zeta eta theta.\nrecord000096: alpha beta gamma delta epsilon zeta eta theta.\nrecord000097: alpha beta gamma delta epsilon zeta eta theta.\nrecord000098: alpha beta gamma delta epsilon zeta eta theta.\nrecord000099: alpha beta gamma delta epsilon zeta eta theta.\nrecord000100: alpha beta gamma delta epsilon zeta eta theta.\nrecord000101: alpha beta gamma delta epsilon zeta eta theta.\nrecord000102: alpha beta gamma delta epsilon zeta eta theta.\nrecord000103: alpha beta gamma delta epsilon zeta eta theta.\nrecord000104: alpha beta gamma delta epsilon zeta eta theta.\nrecord000105: alpha beta gamma delta epsilon zeta eta theta.\nrecord000106: alpha beta gamma delta epsilon zeta eta theta.\nrecord000107: alpha beta gamma delta epsilon zeta eta theta.\nrecord000108: alpha beta gamma delta epsilon zeta eta theta.\nrecord000109: alpha beta gamma delta epsilon zeta eta theta.\nrecord000110: alpha beta gamma delta epsilon zeta eta theta.\nrecord000111: alpha beta gamma delta epsilon zeta eta theta.\nrecord000112: alpha beta gamma delta epsilon zeta eta theta.\nrecord000113: alpha beta gamma delta epsilon zeta eta theta.\nrecord000114: alpha beta gamma delta epsilon zeta eta theta.\nrecord000115: alpha beta gamma delta epsilon zeta eta theta.\nrecord000116: alpha beta gamma delta epsilon zeta eta theta.\nrecord000117: alpha beta gamma delta epsilon zeta eta theta.\nrecord000118: alpha beta gamma delta epsilon zeta eta theta.\nrecord000119: alpha beta gamma delta epsilon zeta eta theta.\nrecord000120: alpha beta gamma delta epsilon zeta eta theta.\nrecord000121: alpha beta gamma delta epsilon zeta eta theta.\nrecord000122: alpha beta gamma delta epsilon zeta eta theta.\nrecord000123: alpha beta gamma delta epsilon zeta eta theta.\nrecord000124: alpha beta gamma delta epsilon zeta eta theta.\nrecord000125: alpha beta gamma delta epsilon zeta eta theta.\nrecord000126: alpha beta gamma delta epsilon zeta eta theta.\nrecord000127: alpha beta gamma delta epsilon zeta eta theta.\nrecord000128: alpha beta gamma delta epsilon zeta eta theta.\nrecord000129: alpha beta gamma delta epsilon zeta eta theta.\nrecord000130: alpha beta gamma delta epsilon zeta eta theta.\nrecord000131: alpha beta gamma delta epsilon zeta eta theta.\nrecord000132: alpha beta gamma delta epsilon zeta eta theta.\nrecord000133: alpha beta gamma delta epsilon zeta eta theta.\nrecord000134: alpha beta gamma delta epsilon zeta eta theta.\nrecord000135: alpha beta gamma delta epsilon zeta eta theta.\nrecord000136: alpha beta gamma delta epsilon zeta eta theta.\nrecord000137: alpha beta gamma delta epsilon zeta eta theta.\nrecord000138: alpha beta gamma delta epsilon zeta eta theta.\nrecord000139: alpha beta gamma delta epsilon zeta eta theta.\nrecord000140: alpha beta gamma delta epsilon zeta eta theta.\nrecord000141: alpha beta gamma delta epsilon zeta eta theta.\nrecord000142: alpha beta gamma delta epsilon zeta eta theta.\nrecord000143: alpha beta gamma delta epsilon zeta eta theta.\nrecord000144: alpha beta gamma delta epsilon zeta eta theta.\nrecord000145: alpha beta gamma delta epsilon zeta eta theta.\nrecord000146: alpha beta gamma delta epsilon zeta eta theta.\nrecord000147: alpha beta gamma delta epsilon zeta eta theta.\nrecord000148: alpha beta gamma delta epsilon zeta eta theta.\nrecord000149: alpha beta gamma delta epsilon zeta eta theta.\nrecord000150: alpha beta gamma delta epsilon zeta eta theta.\nrecord000151: alpha beta gamma delta epsilon zeta eta theta.\nrecord000152: alpha beta gamma delta epsilon zeta eta theta.\nrecord000153: alpha beta gamma delta epsilon zeta eta theta.\nrecord000154: alpha beta gamma delta epsilon zeta eta theta.\nrecord000155: alpha beta gamma delta epsilon zeta eta theta.\nrecord000156: alpha beta gamma delta epsilon zeta eta theta.\nrecord000157: alpha beta gamma delta epsilon zeta eta theta.\nrecord000158: alpha beta gamma delta epsilon zeta eta theta.\nrecord000159: alpha beta gamma delta epsilon zeta eta theta.\nrecord000160: alpha beta gamma delta epsilon zeta eta theta.\nrecord000161: alpha beta gamma delta epsilon zeta eta theta.\nrecord000162: alpha beta gamma delta epsilon zeta eta theta.\nrecord000163: alpha beta gamma delta epsilon zeta eta theta.\nrecord000164: alpha beta gamma delta epsilon zeta eta theta.\nrecord000165: alpha beta gamma delta epsilon zeta eta theta.\nrecord000166: alpha beta gamma delta epsilon zeta eta theta.\nrecord000167: alpha beta gamma delta epsilon zeta eta theta.\nrecord000168: alpha beta gamma delta epsilon zeta eta theta.\nrecord000169: alpha beta gamma delta epsilon zeta eta theta.\nrecord000170: alpha beta gamma delta epsilon zeta eta theta.\nrecord000171: alpha beta gamma delta epsilon zeta eta theta.\nrecord000172: alpha beta gamma delta epsilon zeta eta theta.\nrecord000173: alpha beta gamma delta epsilon zeta eta theta.\nrecord000174: alpha beta gamma delta epsilon zeta eta theta.\nrecord000175: alpha beta gamma delta epsilon zeta eta theta.\nrecord000176: alpha beta gamma delta epsilon zeta eta theta.\nrecord000177: alpha beta gamma delta epsilon zeta eta theta.\nrecord000178: alpha beta gamma delta epsilon zeta eta theta.\nrecord000179: alpha beta gamma delta epsilon zeta eta theta.\nrecord000180: alpha beta gamma delta epsilon zeta eta theta.\nrecord000181: alpha beta gamma delta epsilon zeta eta theta.\nrecord000182: alpha beta gamma delta epsilon zeta eta theta.\nrecord000183: alpha beta gamma delta epsilon zeta eta theta.\nrecord000184: alpha beta gamma delta epsilon zeta eta theta.\nrecord000185: alpha beta gamma delta epsilon zeta eta theta.\nrecord000186: alpha beta gamma delta epsilon zeta eta theta.\nrecord000187: alpha beta gamma delta epsilon zeta eta theta.\nrecord000188: alpha beta gamma delta epsilon zeta eta theta.\nrecord000189: alpha beta gamma delta epsilon zeta eta theta.\nrecord000190: alpha beta gamma delta epsilon zeta eta theta.\nrecord000191: alpha beta gamma delta epsilon zeta eta theta.\nrecord000192: alpha beta gamma delta epsilon zeta eta theta.\nrecord000193: alpha beta gamma delta epsilon zeta eta theta.\nrecord000194: alpha beta gamma delta epsilon zeta eta theta.\nrecord000195: alpha beta gamma delta epsilon zeta eta theta.\nrecord000196: alpha beta gamma delta epsilon zeta eta theta.\nrecord000197: alpha beta gamma delta epsilon zeta eta theta.\nrecord000198: alpha beta gamma delta epsilon zeta eta theta.\nrecord000199: alpha beta gamma delta epsilon zeta eta theta.\nrecord000200: alpha beta gamma delta epsilon zeta eta theta.\nrecord000201: alpha beta gamma delta epsilon zeta eta theta.\nrecord000202: alpha beta gamma delta epsilon zeta eta theta.\nrecord000203: alpha beta gamma delta epsilon zeta eta theta.\nrecord000204: alpha beta gamma delta epsilon zeta eta theta.\nrecord000205: alpha beta gamma delta epsilon zeta eta theta.\nrecord000206: alpha beta gamma delta epsilon zeta eta theta.\nrecord000207: alpha beta gamma delta epsilon zeta eta theta.\nrecord000208: alpha beta gamma delta epsilon zeta eta theta.\nrecord000209: alpha beta gamma delta epsilon zeta eta theta.\nrecord000210: alpha beta gamma delta epsilon zeta eta theta.\nrecord000211: alpha beta gamma delta epsilon zeta eta theta.\nSummarize the structure of these records and explain how to look up a record by its ID."}], "tools": null, "final_answer": "Each record has a simple two-part structure:\n\n```text\nrecord000123: alpha beta gamma delta epsilon zeta eta theta\n```\n\n- **Record ID**: the text before the colon, e.g. `record000123`\n- **Record value/content**: the text after the colon, e.g. `alpha beta gamma delta epsilon zeta eta theta`\n\nAll records in this example share the same content:\n\n```text\nalpha beta gamma delta epsilon zeta eta theta\n```\n\nThe record IDs are sequential and zero-padded to six digits, ranging from:\n\n```text\nrecord000001\n```\n\nto:\n\n```text\nrecord000211\n```\n\nTo look up a record by its ID:\n\n1. Take the desired numeric ID, for example `123`.\n2. Format it as a zero-padded six-digit ID:\n\n ```text\n record000123\n ```\n\n3. Find the line beginning with that exact ID.\n4. Return the text after the colon as the record value.\n\nExample lookup:\n\n```text\nID: record000123\nValue: alpha beta gamma delta epsilon zeta eta theta\n```\n\nIn a file or dataset, this could be done by searching for the exact prefix:\n\n```text\nrecord", "reasoning": "We need answer user's request. User provided records 1-211 all identical content: alpha beta gamma delta epsilon zeta eta theta. Asks: \"Summarize the structure of these records and explain how to look up a record by its ID.\" Need likely respond with structure: each line has recordNNNNNN: followed by fixed fields/tokens. IDs are zero-padded six-digit after record. To lookup by ID: parse line prefix before colon, match exact ID like record000200, then retrieve content after colon. Could mention if ID is numeric, format with %06d; binary search possible because sorted; use hash map. Also summarize: 211 records sequential from record000001 to record000211, identical value list. Need be concise but thorough. Ensure final answer only. Need in English same language. Could provide examples. Also maybe note if using line-based text: grep -n '^record000123:' file. Or index. 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theta.\nrecord000716: alpha beta gamma delta epsilon zeta eta theta.\nrecord000717: alpha beta gamma delta epsilon zeta eta theta.\nrecord000718: alpha beta gamma delta epsilon zeta eta theta.\nrecord000719: alpha beta gamma delta epsilon zeta eta theta.\nrecord000720: alpha beta gamma delta epsilon zeta eta theta.\nrecord000721: alpha beta gamma delta epsilon zeta eta theta.\nrecord000722: alpha beta gamma delta epsilon zeta eta theta.\nrecord000723: alpha beta gamma delta epsilon zeta eta theta.\nrecord000724: alpha beta gamma delta epsilon zeta eta theta.\nrecord000725: alpha beta gamma delta epsilon zeta eta theta.\nrecord000726: alpha beta gamma delta epsilon zeta eta theta.\nrecord000727: alpha beta gamma delta epsilon zeta eta theta.\nrecord000728: alpha beta gamma delta epsilon zeta eta theta.\nrecord000729: alpha beta gamma delta epsilon zeta eta theta.\nrecord000730: alpha beta gamma delta epsilon zeta eta theta.\nrecord000731: alpha beta gamma delta epsilon zeta eta theta.\nrecord000732: alpha beta gamma delta epsilon zeta eta theta.\nrecord000733: alpha beta gamma delta epsilon zeta eta theta.\nrecord000734: alpha beta gamma delta epsilon zeta eta theta.\nrecord000735: alpha beta gamma delta epsilon zeta eta theta.\nrecord000736: alpha beta gamma delta epsilon zeta eta theta.\nrecord000737: alpha beta gamma delta epsilon zeta eta theta.\nrecord000738: alpha beta gamma delta epsilon zeta eta theta.\nrecord000739: alpha beta gamma delta epsilon zeta eta theta.\nrecord000740: alpha beta gamma delta epsilon zeta eta theta.\nrecord000741: alpha beta gamma delta epsilon zeta eta theta.\nrecord000742: alpha beta gamma delta epsilon zeta eta theta.\nrecord000743: alpha beta gamma delta epsilon zeta eta theta.\nrecord000744: alpha beta gamma delta epsilon zeta eta theta.\nrecord000745: alpha beta gamma delta epsilon zeta eta theta.\nrecord000746: alpha beta gamma delta epsilon zeta eta theta.\nrecord000747: alpha beta gamma delta epsilon zeta eta theta.\nrecord000748: alpha beta gamma delta epsilon zeta eta theta.\nrecord000749: alpha beta gamma delta epsilon zeta eta theta.\nrecord000750: alpha beta gamma delta epsilon zeta eta theta.\nrecord000751: alpha beta gamma delta epsilon zeta eta theta.\nrecord000752: alpha beta gamma delta epsilon zeta eta theta.\nrecord000753: alpha beta gamma delta epsilon zeta eta theta.\nrecord000754: alpha beta gamma delta epsilon zeta eta theta.\nrecord000755: alpha beta gamma delta epsilon zeta eta theta.\nrecord000756: alpha beta gamma delta epsilon zeta eta theta.\nrecord000757: alpha beta gamma delta epsilon zeta eta theta.\nrecord000758: alpha beta gamma delta epsilon zeta eta theta.\nrecord000759: alpha beta gamma delta epsilon zeta eta theta.\nrecord000760: alpha beta gamma delta epsilon zeta eta theta.\nrecord000761: alpha beta gamma delta epsilon zeta eta theta.\nrecord000762: alpha beta gamma delta epsilon zeta eta theta.\nrecord000763: alpha beta gamma delta epsilon zeta eta theta.\nrecord000764: alpha beta gamma delta epsilon zeta eta theta.\nrecord000765: alpha beta gamma delta epsilon zeta eta theta.\nrecord000766: alpha beta gamma delta epsilon zeta eta theta.\nrecord000767: alpha beta gamma delta epsilon zeta eta theta.\nrecord000768: alpha beta gamma delta epsilon zeta eta theta.\nrecord000769: alpha beta gamma delta epsilon zeta eta theta.\nrecord000770: alpha beta gamma delta epsilon zeta eta theta.\nrecord000771: alpha beta gamma delta epsilon zeta eta theta.\nrecord000772: alpha beta gamma delta epsilon zeta eta theta.\nrecord000773: alpha beta gamma delta epsilon zeta eta theta.\nrecord000774: alpha beta gamma delta epsilon zeta eta theta.\nrecord000775: alpha beta gamma delta epsilon zeta eta theta.\nrecord000776: alpha beta gamma delta epsilon zeta eta theta.\nrecord000777: alpha beta gamma delta epsilon zeta eta theta.\nrecord000778: alpha beta gamma delta epsilon zeta eta theta.\nrecord000779: alpha beta gamma delta epsilon zeta eta theta.\nrecord000780: alpha beta gamma delta epsilon zeta eta theta.\nrecord000781: alpha beta gamma delta epsilon zeta eta theta.\nrecord000782: alpha beta gamma delta epsilon zeta eta theta.\nrecord000783: alpha beta gamma delta epsilon zeta eta theta.\nrecord000784: alpha beta gamma delta epsilon zeta eta theta.\nrecord000785: alpha beta gamma delta epsilon zeta eta theta.\nrecord000786: alpha beta gamma delta epsilon zeta eta theta.\nrecord000787: alpha beta gamma delta epsilon zeta eta theta.\nrecord000788: alpha beta gamma delta epsilon zeta eta theta.\nrecord000789: alpha beta gamma delta epsilon zeta eta theta.\nrecord000790: alpha beta gamma delta epsilon zeta eta theta.\nrecord000791: alpha beta gamma delta epsilon zeta eta theta.\nrecord000792: alpha beta gamma delta epsilon zeta eta theta.\nrecord000793: alpha beta gamma delta epsilon zeta eta theta.\nrecord000794: alpha beta gamma delta epsilon zeta eta theta.\nrecord000795: alpha beta gamma delta epsilon zeta eta theta.\nrecord000796: alpha beta gamma delta epsilon zeta eta theta.\nrecord000797: alpha beta gamma delta epsilon zeta eta theta.\nrecord000798: alpha beta gamma delta epsilon zeta eta theta.\nrecord000799: alpha beta gamma delta epsilon zeta eta theta.\nrecord000800: alpha beta gamma delta epsilon zeta eta theta.\nrecord000801: alpha beta gamma delta epsilon zeta eta theta.\nrecord000802: alpha beta gamma delta epsilon zeta eta theta.\nrecord000803: alpha beta gamma delta epsilon zeta eta theta.\nrecord000804: alpha beta gamma delta epsilon zeta eta theta.\nrecord000805: alpha beta gamma delta epsilon zeta eta theta.\nrecord000806: alpha beta gamma delta epsilon zeta eta theta.\nrecord000807: alpha beta gamma delta epsilon zeta eta theta.\nrecord000808: alpha beta gamma delta epsilon zeta eta theta.\nrecord000809: alpha beta gamma delta epsilon zeta eta theta.\nrecord000810: alpha beta gamma delta epsilon zeta eta theta.\nrecord000811: alpha beta gamma delta epsilon zeta eta theta.\nrecord000812: alpha beta gamma delta epsilon zeta eta theta.\nrecord000813: alpha beta gamma delta epsilon zeta eta theta.\nrecord000814: alpha beta gamma delta epsilon zeta eta theta.\nrecord000815: alpha beta gamma delta epsilon zeta eta theta.\nrecord000816: alpha beta gamma delta epsilon zeta eta theta.\nrecord000817: alpha beta gamma delta epsilon zeta eta theta.\nrecord000818: alpha beta gamma delta epsilon zeta eta theta.\nrecord000819: alpha beta gamma delta epsilon zeta eta theta.\nrecord000820: alpha beta gamma delta epsilon zeta eta theta.\nrecord000821: alpha beta gamma delta epsilon zeta eta theta.\nrecord000822: alpha beta gamma delta epsilon zeta eta theta.\nrecord000823: alpha beta gamma delta epsilon zeta eta theta.\nrecord000824: alpha beta gamma delta epsilon zeta eta theta.\nrecord000825: alpha beta gamma delta epsilon zeta eta theta.\nrecord000826: alpha beta gamma delta epsilon zeta eta theta.\nrecord000827: alpha beta gamma delta epsilon zeta eta theta.\nrecord000828: alpha beta gamma delta epsilon zeta eta theta.\nrecord000829: alpha beta gamma delta epsilon zeta eta theta.\nrecord000830: alpha beta gamma delta epsilon zeta eta theta.\nrecord000831: alpha beta gamma delta epsilon zeta eta theta.\nrecord000832: alpha beta gamma delta epsilon zeta eta theta.\nrecord000833: alpha beta gamma delta epsilon zeta eta theta.\nrecord000834: alpha beta gamma delta epsilon zeta eta theta.\nrecord000835: alpha beta gamma delta epsilon zeta eta theta.\nrecord000836: alpha beta gamma delta epsilon zeta eta theta.\nrecord000837: alpha beta gamma delta epsilon zeta eta theta.\nrecord000838: alpha beta gamma delta epsilon zeta eta theta.\nrecord000839: alpha beta gamma delta epsilon zeta eta theta.\nrecord000840: alpha beta gamma delta epsilon zeta eta theta.\nrecord000841: alpha beta gamma delta epsilon zeta eta theta.\nrecord000842: alpha beta gamma delta epsilon zeta eta theta.\nrecord000843: alpha beta gamma delta epsilon zeta eta theta.\nrecord000844: alpha beta gamma delta epsilon zeta eta theta.\nrecord000845: alpha beta gamma delta epsilon zeta eta theta.\nrecord000846: alpha beta gamma delta epsilon zeta eta theta.\nrecord000847: alpha beta gamma delta epsilon zeta eta theta.\nrecord000848: alpha beta gamma delta epsilon zeta eta theta.\nrecord000849: alpha beta gamma delta epsilon zeta eta theta.\nrecord000850: alpha beta gamma delta epsilon zeta eta theta.\nrecord000851: alpha beta gamma delta epsilon zeta eta theta.\nrecord000852: alpha beta gamma delta epsilon zeta eta theta.\nrecord000853: alpha beta gamma delta epsilon zeta eta theta.\nrecord000854: alpha beta gamma delta epsilon zeta eta theta.\nrecord000855: alpha beta gamma delta epsilon zeta eta theta.\nrecord000856: alpha beta gamma delta epsilon zeta eta theta.\nrecord000857: alpha beta gamma delta epsilon zeta eta theta.\nrecord000858: alpha beta gamma delta epsilon zeta eta theta.\nSummarize the structure of these records and explain how to look up a record by its ID."}], "tools": null, "final_answer": "Each record has the same simple structure:\n\n```text\nrecord000001: alpha beta gamma delta epsilon zeta eta theta.\n```\n\nSo each line contains:\n\n- **Record ID**: `record` followed by a six-digit zero-padded number \n - Example: `record000001`, `record000042`, `record000858`\n- **Separator**: a colon and space `: `\n- **Record value**: the fixed sequence \n", "reasoning": "We need respond to user. User provided a huge list of records (record000001 to record000858?) each same content: \"alpha beta gamma delta epsilon zeta eta theta.\" They ask: \"Summarize the structure of these records and explain how to look up a record by its ID.\"\n\nNeed produce final answer. Need think in English? User request English. Need maybe include structure: each line is a record with ID field \"record\" + six-digit zero-padded number, colon, value sequence of eight Greek alphabet names. IDs sequential 1..858? Need verify last is record000858. Yes. All values identical. Need explain lookup: parse line, find ID, match zero-padded ID, maybe use data structure map/hash, binary search due sequential IDs, construct key recordNNNNNN, ensure zero padding. Maybe include examples: lookup record000042 -> alpha beta gamma delta epsilon zeta eta theta. Could mention if missing? Since all present. Also maybe summarize size 858 records. Could explain format in fields.\n\nNeed careful: The list maybe truncated? It includes up to 858, not 16k? case prompt 16k but only 858 records. We should answer only visible records. Structure: each record line: key = record + 6-digit decimal zero-padded; separator colon-space; value = fixed token list of eight words: alpha beta gamma delta epsilon zeta eta theta. The records are ordered by numeric ID ascending. Need look up: normalize desired ID to 6 digits, search line beginning with ID + \":\" or map from ID to tokens. If using program: split at first colon, left part key. Or if array indexed by ID: records[id-1] due sequential. Could mention case-sensitive.\n\nFinal answer concise but enough. Ensure not too much.\n", "tool_calls": [], "finish_reason": "length", "usage": {"prompt_tokens": 16387, "completion_tokens": 512, "total_tokens": 16899, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 16387, "prompt_ms": 2855.2, "prompt_per_token_ms": 0.174, "prompt_per_second": 5739.4, "predicted_n": 512, "predicted_ms": 4368.5, "predicted_per_token_ms": 8.532, "predicted_per_second": 117.2, "draft_n": 373, "draft_n_accepted": 241}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 7.239566, "first_delta": {"offset_s": 2.882186, "kind": "reasoning"}, "first_answer_offset_s": 6.540128, "client_events": [[2.882186, "reasoning"], [2.902527, "reasoning"], [2.902616, "reasoning"], [2.922446, "reasoning"], [2.922483, "reasoning"], [2.922575, "reasoning"], [2.922602, "reasoning"], [2.934373, "reasoning"], [2.946574, "reasoning"], [2.958515, "reasoning"], [2.977758, "reasoning"], [2.977786, "reasoning"], [2.977807, "reasoning"], 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theta.\nrecord000210: alpha beta gamma delta epsilon zeta eta theta.\nrecord000211: alpha beta gamma delta epsilon zeta eta theta.\nWhat is access_code? Reply only with its value."}], "tools": null, "final_answer": "ORBIT-731", "reasoning": "We need answer user's request. User provided a long log with access_code = ORBIT-731 among records and asks What is access_code? Reply only with its value. Need output only value. Final: ORBIT-731. Ensure no extra text.\n", "tool_calls": [], "finish_reason": "stop", "usage": {"prompt_tokens": 4089, "completion_tokens": 66, "total_tokens": 4155, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 4089, "prompt_ms": 815.6, "prompt_per_token_ms": 0.199, "prompt_per_second": 5013.5, "predicted_n": 66, "predicted_ms": 443.2, "predicted_per_token_ms": 6.715, "predicted_per_second": 148.9, "draft_n": 57, "draft_n_accepted": 42}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 1.26587, "first_delta": {"offset_s": 0.833652, "kind": "reasoning"}, "first_answer_offset_s": 1.24606, "client_events": [[0.833652, "reasoning"], [0.852661, "reasoning"], [0.852681, "reasoning"], [0.852725, "reasoning"], [0.852762, "reasoning"], [0.872006, "reasoning"], [0.872026, "reasoning"], [0.872084, "reasoning"], [0.883728, "reasoning"], [0.895451, "reasoning"], [0.907594, "reasoning"], [0.919911, "reasoning"], [0.93876, "reasoning"], [0.938787, 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theta.\nrecord000054: alpha beta gamma delta epsilon zeta eta theta.\nrecord000055: alpha beta gamma delta epsilon zeta eta theta.\nrecord000056: alpha beta gamma delta epsilon zeta eta theta.\nrecord000057: alpha beta gamma delta epsilon zeta eta theta.\nrecord000058: alpha beta gamma delta epsilon zeta eta theta.\nrecord000059: alpha beta gamma delta epsilon zeta eta theta.\nrecord000060: alpha beta gamma delta epsilon zeta eta theta.\nrecord000061: alpha beta gamma delta epsilon zeta eta theta.\nrecord000062: alpha beta gamma delta epsilon zeta eta theta.\nrecord000063: alpha beta gamma delta epsilon zeta eta theta.\nrecord000064: alpha beta gamma delta epsilon zeta eta theta.\nrecord000065: alpha beta gamma delta epsilon zeta eta theta.\nrecord000066: alpha beta gamma delta epsilon zeta eta theta.\nrecord000067: alpha beta gamma delta epsilon zeta eta theta.\nrecord000068: alpha beta gamma delta epsilon zeta eta theta.\nrecord000069: alpha beta gamma delta epsilon zeta eta 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theta.\nrecord000102: alpha beta gamma delta epsilon zeta eta theta.\nrecord000103: alpha beta gamma delta epsilon zeta eta theta.\nrecord000104: alpha beta gamma delta epsilon zeta eta theta.\nrecord000105: alpha beta gamma delta epsilon zeta eta theta.\nstorage_label = CEDAR-284\nrecord000106: alpha beta gamma delta epsilon zeta eta theta.\nrecord000107: alpha beta gamma delta epsilon zeta eta theta.\nrecord000108: alpha beta gamma delta epsilon zeta eta theta.\nrecord000109: alpha beta gamma delta epsilon zeta eta theta.\nrecord000110: alpha beta gamma delta epsilon zeta eta theta.\nrecord000111: alpha beta gamma delta epsilon zeta eta theta.\nrecord000112: alpha beta gamma delta epsilon zeta eta theta.\nrecord000113: alpha beta gamma delta epsilon zeta eta theta.\nrecord000114: alpha beta gamma delta epsilon zeta eta theta.\nrecord000115: alpha beta gamma delta epsilon zeta eta theta.\nrecord000116: alpha beta gamma delta epsilon zeta eta theta.\nrecord000117: alpha beta gamma delta epsilon zeta eta theta.\nrecord000118: alpha beta gamma delta epsilon zeta eta theta.\nrecord000119: alpha beta gamma delta epsilon zeta eta theta.\nrecord000120: alpha beta gamma delta epsilon zeta eta theta.\nrecord000121: alpha beta gamma delta epsilon zeta eta theta.\nrecord000122: alpha beta gamma delta epsilon zeta eta theta.\nrecord000123: alpha beta gamma delta epsilon zeta eta theta.\nrecord000124: alpha beta gamma delta epsilon zeta eta theta.\nrecord000125: alpha beta gamma delta epsilon zeta eta theta.\nrecord000126: alpha beta gamma delta epsilon zeta eta theta.\nrecord000127: alpha beta gamma delta epsilon zeta eta theta.\nrecord000128: alpha beta gamma delta epsilon zeta eta theta.\nrecord000129: alpha beta gamma delta epsilon zeta eta theta.\nrecord000130: alpha beta gamma delta epsilon zeta eta theta.\nrecord000131: alpha beta gamma delta epsilon zeta eta theta.\nrecord000132: alpha beta gamma delta epsilon zeta eta theta.\nrecord000133: alpha beta gamma delta epsilon zeta eta theta.\nrecord000134: alpha beta gamma delta epsilon zeta eta theta.\nrecord000135: alpha beta gamma delta epsilon zeta eta theta.\nrecord000136: alpha beta gamma delta epsilon zeta eta theta.\nrecord000137: alpha beta gamma delta epsilon zeta eta theta.\nrecord000138: alpha beta gamma delta epsilon zeta eta theta.\nrecord000139: alpha beta gamma delta epsilon zeta eta theta.\nrecord000140: alpha beta gamma delta epsilon zeta eta theta.\nrecord000141: alpha beta gamma delta epsilon zeta eta theta.\nrecord000142: alpha beta gamma delta epsilon zeta eta theta.\nrecord000143: alpha beta gamma delta epsilon zeta eta theta.\nrecord000144: alpha beta gamma delta epsilon zeta eta theta.\nrecord000145: alpha beta gamma delta epsilon zeta eta theta.\nrecord000146: alpha beta gamma delta epsilon zeta eta theta.\nrecord000147: alpha beta gamma delta epsilon zeta eta theta.\nrecord000148: alpha beta gamma delta epsilon zeta eta theta.\nrecord000149: alpha beta gamma delta epsilon zeta eta theta.\nrecord000150: alpha beta gamma delta epsilon zeta eta theta.\nrecord000151: alpha beta gamma delta epsilon zeta eta theta.\nrecord000152: alpha beta gamma delta epsilon zeta eta theta.\nrecord000153: alpha beta gamma delta epsilon zeta eta theta.\nrecord000154: alpha beta gamma delta epsilon zeta eta theta.\nrecord000155: alpha beta gamma delta epsilon zeta eta theta.\nrecord000156: alpha beta gamma delta epsilon zeta eta theta.\nrecord000157: alpha beta gamma delta epsilon zeta eta theta.\nrecord000158: alpha beta gamma delta epsilon zeta eta theta.\nrecord000159: alpha beta gamma delta epsilon zeta eta theta.\nrecord000160: alpha beta gamma delta epsilon zeta eta theta.\nrecord000161: alpha beta gamma delta epsilon zeta eta theta.\nrecord000162: alpha beta gamma delta epsilon zeta eta theta.\nrecord000163: alpha beta gamma delta epsilon zeta eta theta.\nrecord000164: alpha beta gamma delta epsilon zeta eta theta.\nrecord000165: alpha beta gamma delta epsilon zeta eta theta.\nrecord000166: alpha beta gamma delta epsilon zeta eta theta.\nrecord000167: alpha beta gamma delta epsilon zeta eta theta.\nrecord000168: alpha beta gamma delta epsilon zeta eta theta.\nrecord000169: alpha beta gamma delta epsilon zeta eta theta.\nrecord000170: alpha beta gamma delta epsilon zeta eta theta.\nrecord000171: alpha beta gamma delta epsilon zeta eta theta.\nrecord000172: alpha beta gamma delta epsilon zeta eta theta.\nrecord000173: alpha beta gamma delta epsilon zeta eta theta.\nrecord000174: alpha beta gamma delta epsilon zeta eta theta.\nrecord000175: alpha beta gamma delta epsilon zeta eta theta.\nrecord000176: alpha beta gamma delta epsilon zeta eta theta.\nrecord000177: alpha beta gamma delta epsilon zeta eta theta.\nrecord000178: alpha beta gamma delta epsilon zeta eta theta.\nrecord000179: alpha beta gamma delta epsilon zeta eta theta.\nrecord000180: alpha beta gamma delta epsilon zeta eta theta.\nrecord000181: alpha beta gamma delta epsilon zeta eta 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theta.\nrecord000198: alpha beta gamma delta epsilon zeta eta theta.\nrecord000199: alpha beta gamma delta epsilon zeta eta theta.\nrecord000200: alpha beta gamma delta epsilon zeta eta theta.\nrecord000201: alpha beta gamma delta epsilon zeta eta theta.\nrecord000202: alpha beta gamma delta epsilon zeta eta theta.\nrecord000203: alpha beta gamma delta epsilon zeta eta theta.\nrecord000204: alpha beta gamma delta epsilon zeta eta theta.\nrecord000205: alpha beta gamma delta epsilon zeta eta theta.\nrecord000206: alpha beta gamma delta epsilon zeta eta theta.\nrecord000207: alpha beta gamma delta epsilon zeta eta theta.\nrecord000208: alpha beta gamma delta epsilon zeta eta theta.\nrecord000209: alpha beta gamma delta epsilon zeta eta theta.\nrecord000210: alpha beta gamma delta epsilon zeta eta theta.\nrecord000211: alpha beta gamma delta epsilon zeta eta theta.\nWhat is storage_label? Reply only with its value."}], "tools": null, "final_answer": "CEDAR-284", "reasoning": "We need answer user's request. User provided many records and asks: What is storage_label? Reply only with its value. In text: \"storage_label = CEDAR-284\". Need output only value CEDAR-284. Ensure no extra. 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theta.\nrecord000764: alpha beta gamma delta epsilon zeta eta theta.\nrecord000765: alpha beta gamma delta epsilon zeta eta theta.\nrecord000766: alpha beta gamma delta epsilon zeta eta theta.\nrecord000767: alpha beta gamma delta epsilon zeta eta theta.\nrecord000768: alpha beta gamma delta epsilon zeta eta theta.\nrecord000769: alpha beta gamma delta epsilon zeta eta theta.\nrecord000770: alpha beta gamma delta epsilon zeta eta theta.\nrecord000771: alpha beta gamma delta epsilon zeta eta theta.\nrecord000772: alpha beta gamma delta epsilon zeta eta theta.\nsouth = S-875\nrecord000773: alpha beta gamma delta epsilon zeta eta theta.\nrecord000774: alpha beta gamma delta epsilon zeta eta theta.\nrecord000775: alpha beta gamma delta epsilon zeta eta theta.\nrecord000776: alpha beta gamma delta epsilon zeta eta theta.\nrecord000777: alpha beta gamma delta epsilon zeta eta theta.\nrecord000778: alpha beta gamma delta epsilon zeta eta theta.\nrecord000779: alpha beta gamma delta epsilon zeta eta theta.\nrecord000780: alpha beta gamma delta epsilon zeta eta theta.\nrecord000781: alpha beta gamma delta epsilon zeta eta theta.\nrecord000782: alpha beta gamma delta epsilon zeta eta theta.\nrecord000783: alpha beta gamma delta epsilon zeta eta theta.\nrecord000784: alpha beta gamma delta epsilon zeta eta theta.\nrecord000785: alpha beta gamma delta epsilon zeta eta theta.\nrecord000786: alpha beta gamma delta epsilon zeta eta theta.\nrecord000787: alpha beta gamma delta epsilon zeta eta theta.\nrecord000788: alpha beta gamma delta epsilon zeta eta theta.\nrecord000789: alpha beta gamma delta epsilon zeta eta theta.\nrecord000790: alpha beta gamma delta epsilon zeta eta theta.\nrecord000791: alpha beta gamma delta epsilon zeta eta theta.\nrecord000792: alpha beta gamma delta epsilon zeta eta theta.\nrecord000793: alpha beta gamma delta epsilon zeta eta theta.\nrecord000794: alpha beta gamma delta epsilon zeta eta theta.\nrecord000795: alpha beta gamma delta epsilon zeta eta theta.\nrecord000796: alpha beta gamma delta epsilon zeta eta theta.\nrecord000797: alpha beta gamma delta epsilon zeta eta theta.\nrecord000798: alpha beta gamma delta epsilon zeta eta theta.\nrecord000799: alpha beta gamma delta epsilon zeta eta theta.\nrecord000800: alpha beta gamma delta epsilon zeta eta theta.\nrecord000801: alpha beta gamma delta epsilon zeta eta theta.\nrecord000802: alpha beta gamma delta epsilon zeta eta theta.\nrecord000803: alpha beta gamma delta epsilon zeta eta theta.\nrecord000804: alpha beta gamma delta epsilon zeta eta theta.\nrecord000805: alpha beta gamma delta epsilon zeta eta theta.\nrecord000806: alpha beta gamma delta epsilon zeta eta theta.\nrecord000807: alpha beta gamma delta epsilon zeta eta theta.\nrecord000808: alpha beta gamma delta epsilon zeta eta theta.\nrecord000809: alpha beta gamma delta epsilon zeta eta theta.\nrecord000810: alpha beta gamma delta epsilon zeta eta theta.\nrecord000811: alpha beta gamma delta epsilon zeta eta theta.\nrecord000812: alpha beta gamma delta epsilon zeta eta theta.\nrecord000813: alpha beta gamma delta epsilon zeta eta theta.\nrecord000814: alpha beta gamma delta epsilon zeta eta theta.\nrecord000815: alpha beta gamma delta epsilon zeta eta theta.\nrecord000816: alpha beta gamma delta epsilon zeta eta theta.\nrecord000817: alpha beta gamma delta epsilon zeta eta theta.\nrecord000818: alpha beta gamma delta epsilon zeta eta theta.\nrecord000819: alpha beta gamma delta epsilon zeta eta theta.\nrecord000820: alpha beta gamma delta epsilon zeta eta theta.\nrecord000821: alpha beta gamma delta epsilon zeta eta theta.\nrecord000822: alpha beta gamma delta epsilon zeta eta theta.\nrecord000823: alpha beta gamma delta epsilon zeta eta theta.\nrecord000824: alpha beta gamma delta epsilon zeta eta theta.\nrecord000825: alpha beta gamma delta epsilon zeta eta theta.\nrecord000826: alpha beta gamma delta epsilon zeta eta theta.\nrecord000827: alpha beta gamma delta epsilon zeta eta theta.\nrecord000828: alpha beta gamma delta epsilon zeta eta theta.\nrecord000829: alpha beta gamma delta epsilon zeta eta theta.\nrecord000830: alpha beta gamma delta epsilon zeta eta theta.\nrecord000831: alpha beta gamma delta epsilon zeta eta theta.\nrecord000832: alpha beta gamma delta epsilon zeta eta theta.\nrecord000833: alpha beta gamma delta epsilon zeta eta theta.\nrecord000834: alpha beta gamma delta epsilon zeta eta theta.\nrecord000835: alpha beta gamma delta epsilon zeta eta theta.\nrecord000836: alpha beta gamma delta epsilon zeta eta theta.\nrecord000837: alpha beta gamma delta epsilon zeta eta theta.\nrecord000838: alpha beta gamma delta epsilon zeta eta theta.\nrecord000839: alpha beta gamma delta epsilon zeta eta theta.\nrecord000840: alpha beta gamma delta epsilon zeta eta theta.\nrecord000841: alpha beta gamma delta epsilon zeta eta theta.\nrecord000842: alpha beta gamma delta epsilon zeta eta theta.\nrecord000843: alpha beta gamma delta epsilon zeta eta theta.\nrecord000844: alpha beta gamma delta epsilon zeta eta theta.\nrecord000845: alpha beta gamma delta epsilon zeta eta theta.\nrecord000846: alpha beta gamma delta epsilon zeta eta theta.\nrecord000847: alpha beta gamma delta epsilon zeta eta theta.\nrecord000848: alpha beta gamma delta epsilon zeta eta theta.\nrecord000849: alpha beta gamma delta epsilon zeta eta theta.\nrecord000850: alpha beta gamma delta epsilon zeta eta theta.\nrecord000851: alpha beta gamma delta epsilon zeta eta theta.\nrecord000852: alpha beta gamma delta epsilon zeta eta theta.\nrecord000853: alpha beta gamma delta epsilon zeta eta theta.\nrecord000854: alpha beta gamma delta epsilon zeta eta theta.\nrecord000855: alpha beta gamma delta epsilon zeta eta theta.\nrecord000856: alpha beta gamma delta epsilon zeta eta theta.\nrecord000857: alpha beta gamma delta epsilon zeta eta theta.\nrecord000858: alpha beta gamma delta epsilon zeta eta theta.\nReturn only a JSON object containing north and south and their values."}], "tools": null, "final_answer": "{\n \"north\": \"N-124\",\n \"south\": \"S-875\"\n}", "reasoning": "We need answer user's request. User gave a long text with records and lines:\n[case sanity-R4]\n...\nnorth = N-124\n...\nsouth = S-875\n...\nReturn only a JSON object containing north and south and their values.\nNeed output JSON only. Need parse values: north = N-124, south = S-875. Ensure JSON object containing north and south and their values. Probably {\"north\":\"N-124\",\"south\":\"S-875\"}.\nNeed final only JSON. No extra. Ensure no markdown.\n", "tool_calls": [], "finish_reason": "stop", "usage": {"prompt_tokens": 16390, "completion_tokens": 160, "total_tokens": 16550, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 16390, "prompt_ms": 3070.8, "prompt_per_token_ms": 0.187, "prompt_per_second": 5337.4, "predicted_n": 160, "predicted_ms": 970.2, "predicted_per_token_ms": 6.064, "predicted_per_second": 164.9, "draft_n": 124, "draft_n_accepted": 108}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 4.056589, "first_delta": {"offset_s": 3.098111, "kind": "reasoning"}, "first_answer_offset_s": 3.915913, "client_events": [[3.098111, "reasoning"], [3.118285, "reasoning"], [3.118311, "reasoning"], [3.118329, "reasoning"], [3.11837, "reasoning"], [3.138741, "reasoning"], [3.138767, "reasoning"], [3.138786, "reasoning"], [3.138836, "reasoning"], [3.150717, "reasoning"], [3.163103, "reasoning"], [3.175019, "reasoning"], [3.19006, "reasoning"], [3.190086, "reasoning"], [3.210201, "reasoning"], [3.210227, "reasoning"], [3.230065, "reasoning"], [3.230092, "reasoning"], [3.241917, "reasoning"], [3.261594, "reasoning"], [3.26162, "reasoning"], [3.261649, "reasoning"], [3.261686, "reasoning"], [3.281194, "reasoning"], [3.28122, "reasoning"], [3.281251, "reasoning"], [3.296585, "reasoning"], [3.296611, "reasoning"], [3.316547, "reasoning"], [3.316572, "reasoning"], [3.31661, "reasoning"], [3.316643, "reasoning"], [3.336889, "reasoning"], [3.336915, "reasoning"], [3.336934, "reasoning"], [3.336976, "reasoning"], [3.35807, "reasoning"], [3.358096, "reasoning"], [3.377174, "reasoning"], [3.3772, "reasoning"], [3.37723, "reasoning"], [3.377264, "reasoning"], [3.396995, "reasoning"], [3.39702, "reasoning"], [3.397039, "reasoning"], [3.39708, "reasoning"], [3.417625, "reasoning"], [3.41765, "reasoning"], [3.417667, "reasoning"], [3.417705, "reasoning"], [3.437208, "reasoning"], [3.437233, "reasoning"], [3.437262, "reasoning"], [3.437299, "reasoning"], [3.456755, "reasoning"], [3.456782, "reasoning"], [3.456791, "reasoning"], [3.4568, "reasoning"], [3.476653, "reasoning"], [3.476679, "reasoning"], [3.476688, "reasoning"], [3.491595, "reasoning"], [3.491621, "reasoning"], [3.511317, "reasoning"], [3.511344, "reasoning"], [3.511353, "reasoning"], [3.511362, "reasoning"], [3.52309, "reasoning"], [3.534964, "reasoning"], [3.555389, "reasoning"], [3.555415, "reasoning"], [3.555433, "reasoning"], [3.555467, "reasoning"], [3.575631, "reasoning"], [3.575657, "reasoning"], [3.575676, "reasoning"], [3.575708, "reasoning"], [3.595578, "reasoning"], [3.595605, "reasoning"], [3.595613, "reasoning"], [3.59562, "reasoning"], [3.615262, "reasoning"], [3.615289, "reasoning"], [3.615299, "reasoning"], [3.615307, "reasoning"], [3.630621, "reasoning"], [3.630646, "reasoning"], [3.650263, "reasoning"], [3.665512, "reasoning"], [3.665538, "reasoning"], [3.685832, "reasoning"], [3.685858, "reasoning"], [3.685878, "reasoning"], [3.685916, "reasoning"], [3.706757, "reasoning"], [3.706784, "reasoning"], [3.706794, "reasoning"], [3.706802, "reasoning"], [3.724611, "reasoning"], [3.724637, "reasoning"], [3.744315, "reasoning"], [3.744342, "reasoning"], [3.744352, "reasoning"], [3.74436, "reasoning"], [3.764171, "reasoning"], [3.764197, "reasoning"], [3.764208, "reasoning"], [3.764216, "reasoning"], [3.784358, "reasoning"], [3.784385, "reasoning"], [3.784403, "reasoning"], [3.784442, "reasoning"], [3.805365, "reasoning"], [3.805391, "reasoning"], [3.80541, "reasoning"], [3.805448, "reasoning"], [3.817178, "reasoning"], [3.837943, "reasoning"], [3.837969, "reasoning"], [3.837979, "reasoning"], [3.837987, "reasoning"], [3.857236, "reasoning"], [3.857262, "reasoning"], [3.876779, "reasoning"], [3.876805, "reasoning"], [3.876813, "reasoning"], [3.896423, "reasoning"], [3.896449, "reasoning"], [3.896458, "reasoning"], [3.896466, "reasoning"], [3.915913, "answer"], [3.936228, "answer"], [3.936254, "answer"], [3.936272, "answer"], [3.956496, "answer"], [3.956523, "answer"], [3.956542, "answer"], [3.956584, "answer"], [3.976006, "answer"], [3.976032, "answer"], [3.97605, "answer"], [3.976091, "answer"], [3.9958, "answer"], [3.995826, "answer"], [3.995834, "answer"], [4.015589, "answer"], [4.015615, "answer"], [4.015624, "answer"], [4.015631, "answer"], [4.035754, "answer"], [4.03578, "answer"], [4.035798, "answer"], [4.035831, "answer"], [4.056301, "answer"]]} +{"request_id": "sanity-T1", "phase": "sanity", "case_id": "T1", "request": {"stream": true, "stream_options": {"include_usage": true}, "max_tokens": 2048, "seed": 1, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}, "tool_choice": "auto"}, "messages": [{"role": "user", "content": "[case sanity-T1]\nUse lookup_record to look up record A-17."}], "tools": [{"type": "function", "function": {"name": "lookup_record", "description": "Synthetic benchmark lookup; no external action is performed.", "parameters": {"type": "object", "properties": {"id": {"type": "string"}}, "required": ["id"], "additionalProperties": false}}}], "final_answer": "", "reasoning": "The user wants me to look up record A-17 using the lookup_record tool. This is a simple, straightforward request. I'll make the call.\n", "tool_calls": [{"id": "call_dbacf46186cd4a619dd595bd", "name": "lookup_record", "arguments": "{\"id\":\"A-17\"}"}], "finish_reason": "tool_calls", "usage": {"prompt_tokens": 325, "completion_tokens": 64, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 325, "prompt_ms": 622.7, "prompt_per_token_ms": 1.916, "prompt_per_second": 521.9, "predicted_n": 64, "predicted_ms": 387.8, "predicted_per_token_ms": 6.059, "predicted_per_second": 165.0, "draft_n": 57, "draft_n_accepted": 46}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 1.016755, "first_delta": {"offset_s": 0.63987, "kind": "reasoning"}, "first_answer_offset_s": 0.894669, "client_events": [[0.63987, "reasoning"], [0.658988, "reasoning"], [0.659018, "reasoning"], [0.678733, "reasoning"], [0.678764, "reasoning"], [0.678806, "reasoning"], [0.678845, "reasoning"], [0.699123, "reasoning"], [0.699154, "reasoning"], [0.718104, "reasoning"], [0.718125, "reasoning"], [0.718171, "reasoning"], [0.718212, "reasoning"], [0.737343, "reasoning"], [0.737377, "reasoning"], [0.737422, "reasoning"], [0.737459, "reasoning"], [0.756588, "reasoning"], [0.756614, "reasoning"], [0.775575, "reasoning"], [0.775602, "reasoning"], [0.775644, "reasoning"], [0.775683, "reasoning"], [0.79611, "reasoning"], [0.796136, "reasoning"], [0.796166, "reasoning"], [0.796206, "reasoning"], [0.815958, "reasoning"], [0.815983, "reasoning"], [0.835422, "reasoning"], [0.835448, "reasoning"], [0.835477, "reasoning"], [0.835524, "reasoning"], [0.894669, "tool_call"], [0.894702, "tool_call"], [0.935065, "tool_call"], [0.935094, "tool_call"], [0.935105, "tool_call"], [0.935114, "tool_call"], [0.954791, "tool_call"], [0.954819, "tool_call"], [1.016677, "tool_call"], [1.01671, "tool_call"]]} +{"request_id": "sanity-T2", "phase": "sanity", "case_id": "T2", "request": {"stream": true, "stream_options": {"include_usage": true}, "max_tokens": 2048, "seed": 1, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}, "tool_choice": "auto"}, "messages": [{"role": "user", "content": "[case sanity-T2]\nUse get_weather for Zagreb in celsius."}], "tools": [{"type": "function", "function": {"name": "get_weather", "description": "Synthetic benchmark lookup; no external action is performed.", "parameters": {"type": "object", "properties": {"city": {"type": "string"}, "unit": {"type": "string"}}, "required": ["city", "unit"], "additionalProperties": false}}}], "final_answer": "", "reasoning": "The user wants me to call get_weather for Zagreb in celsius. Simple single call.\n", "tool_calls": [{"id": "call_a500b6f5f956401ca8060d38", "name": "get_weather", "arguments": "{\"city\":\"Zagreb\",\"unit\":\"celsius\"}"}], "finish_reason": "tool_calls", "usage": {"prompt_tokens": 335, "completion_tokens": 63, "total_tokens": 398, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 335, "prompt_ms": 270.9, "prompt_per_token_ms": 0.809, "prompt_per_second": 1236.6, "predicted_n": 63, "predicted_ms": 361.1, "predicted_per_token_ms": 5.732, "predicted_per_second": 174.5, "draft_n": 51, "draft_n_accepted": 46}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 0.636876, "first_delta": {"offset_s": 0.287031, "kind": "reasoning"}, "first_answer_offset_s": 0.456327, "client_events": [[0.287031, "reasoning"], [0.306601, "reasoning"], [0.306623, "reasoning"], [0.306686, "reasoning"], [0.326335, "reasoning"], [0.326357, "reasoning"], [0.326402, "reasoning"], [0.346651, "reasoning"], [0.346682, "reasoning"], [0.34673, "reasoning"], [0.366175, "reasoning"], [0.366194, "reasoning"], [0.366244, "reasoning"], [0.366289, "reasoning"], [0.385894, "reasoning"], [0.385922, "reasoning"], [0.397412, "reasoning"], [0.417398, "reasoning"], [0.417424, "reasoning"], [0.417456, "reasoning"], [0.456327, "tool_call"], [0.456359, "tool_call"], [0.496729, "tool_call"], [0.496758, "tool_call"], [0.496777, "tool_call"], [0.516025, "tool_call"], [0.516053, "tool_call"], [0.556373, "tool_call"], [0.556405, "tool_call"], [0.556417, "tool_call"], [0.576265, "tool_call"], [0.576294, "tool_call"], [0.636803, "tool_call"], [0.636836, "tool_call"]]} +{"request_id": "sanity-T3", "phase": "sanity", "case_id": "T3", "request": {"stream": true, "stream_options": {"include_usage": true}, "max_tokens": 2048, "seed": 1, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}, "tool_choice": "auto"}, "messages": [{"role": "user", "content": "[case sanity-T3]\nUse convert_units to convert 3 km to m."}], "tools": [{"type": "function", "function": {"name": "convert_units", "description": "Synthetic benchmark lookup; no external action is performed.", "parameters": {"type": "object", "properties": {"value": {"type": "number"}, "from_unit": {"type": "string"}, "to_unit": {"type": "string"}}, "required": ["value", "from_unit", "to_unit"], "additionalProperties": false}}}], "final_answer": "", "reasoning": "The user wants me to use the convert_units tool to convert 3 km to m.\n", "tool_calls": [{"id": "call_6a2e5086593446b2b468b01d", "name": "convert_units", "arguments": "{\"to_unit\":\"m\",\"value\":3,\"from_unit\":\"km\"}"}], "finish_reason": "tool_calls", "usage": {"prompt_tokens": 352, "completion_tokens": 73, "total_tokens": 425, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 352, "prompt_ms": 269.7, "prompt_per_token_ms": 0.766, "prompt_per_second": 1305.2, "predicted_n": 73, "predicted_ms": 391.9, "predicted_per_token_ms": 5.368, "predicted_per_second": 186.3, "draft_n": 57, "draft_n_accepted": 53}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 0.666692, "first_delta": {"offset_s": 0.285877, "kind": "reasoning"}, "first_answer_offset_s": 0.445762, "client_events": [[0.285877, "reasoning"], [0.305666, "reasoning"], [0.305696, "reasoning"], [0.305738, "reasoning"], [0.325991, "reasoning"], [0.326012, "reasoning"], [0.326058, "reasoning"], [0.326096, "reasoning"], [0.346017, "reasoning"], [0.346038, "reasoning"], [0.346084, "reasoning"], [0.346123, "reasoning"], [0.36542, "reasoning"], [0.365441, "reasoning"], [0.365508, "reasoning"], [0.36555, "reasoning"], [0.385338, "reasoning"], [0.385363, "reasoning"], [0.385398, "reasoning"], [0.445762, "tool_call"], [0.445793, "tool_call"], [0.48519, "tool_call"], [0.485219, "tool_call"], [0.48524, "tool_call"], [0.546456, "tool_call"], [0.546485, "tool_call"], [0.606127, "tool_call"], [0.606156, "tool_call"], [0.606167, "tool_call"], [0.626617, "tool_call"], [0.666615, "tool_call"], [0.666649, "tool_call"]]} +{"request_id": "sanity-T4", "phase": "sanity", "case_id": "T4", "request": {"stream": true, "stream_options": {"include_usage": true}, "max_tokens": 2048, "seed": 1, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}, "tool_choice": "auto"}, "messages": [{"role": "user", "content": "[case sanity-T4]\nUse get_build_status for project Orion, build 17."}], "tools": [{"type": "function", "function": {"name": "get_build_status", "description": "Synthetic benchmark lookup; no external action is performed.", "parameters": {"type": "object", "properties": {"project": {"type": "string"}, "build": {"type": "integer"}}, "required": ["project", "build"], "additionalProperties": false}}}], "final_answer": "", "reasoning": "The user wants me to call get_build_status for project Orion, build 17. Simple, single call.\n", "tool_calls": [{"id": "call_56addf91484149fc9f7bb3e3", "name": "get_build_status", "arguments": "{\"project\":\"Orion\",\"build\":17}"}], "finish_reason": "tool_calls", "usage": {"prompt_tokens": 339, "completion_tokens": 67, "total_tokens": 406, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 339, "prompt_ms": 269.4, "prompt_per_token_ms": 0.795, "prompt_per_second": 1258.4, "predicted_n": 67, "predicted_ms": 381.4, "predicted_per_token_ms": 5.693, "predicted_per_second": 175.7, "draft_n": 54, "draft_n_accepted": 49}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 0.655884, "first_delta": {"offset_s": 0.28532, "kind": "reasoning"}, "first_answer_offset_s": 0.496267, "client_events": [[0.28532, "reasoning"], [0.30479, "reasoning"], [0.304821, "reasoning"], [0.304863, "reasoning"], [0.304903, "reasoning"], [0.325383, "reasoning"], [0.325416, "reasoning"], [0.325467, "reasoning"], [0.325514, "reasoning"], [0.345874, "reasoning"], [0.345905, "reasoning"], [0.345947, "reasoning"], [0.365621, "reasoning"], [0.365664, "reasoning"], [0.365723, "reasoning"], [0.36575, "reasoning"], [0.385135, "reasoning"], [0.385161, "reasoning"], [0.38519, "reasoning"], [0.405278, "reasoning"], [0.417142, "reasoning"], [0.436852, "reasoning"], [0.436877, "reasoning"], [0.436913, "reasoning"], [0.496267, "tool_call"], [0.496298, "tool_call"], [0.515932, "tool_call"], [0.515962, "tool_call"], [0.535251, "tool_call"], [0.53528, "tool_call"], [0.576444, "tool_call"], [0.576476, "tool_call"], [0.655809, "tool_call"], [0.655843, "tool_call"]]} +{"request_id": "concurrency-r1-c1", "phase": "concurrency", "case_id": "short-burst", "request": {"stream": true, "stream_options": {"include_usage": true}, "max_tokens": 512, "seed": 1, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}}, "messages": [{"role": "user", "content": "[case concurrency-r1-c1]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "", "reasoning": "We need answer user: \"Explain how a hash table finds a value, including collisions and one small example. [case concurrency-r1-c1]\" Need likely provide concise explanation. Need maybe note concurrency-r1-c1? Could be case ID maybe not relevant. Need explain hash table find: compute hash(key), index, compare stored key, if collision handle (chaining or open addressing) and probe/check. Example small: hash table size 5, hash(key)=key mod 5, store \"apple\" maybe hash 1; \"banana\" hash? Need collisions: size 5: hash(key) = key % 5 for strings? Too arbitrary. Use integer keys 3 and 8 both hash 0 mod 4. Find 8: hash 8%4=0 bucket 0, compare stored keys; if chain, check 3 then 8. Or with open addressing linear probe: insert 5 into bucket 1 collision, probe next. Need include concurrency? The case concurrency-r1-c1 maybe asks concurrency? But question only hash table finds value. Maybe case ID indicates scenario? Could be from evaluation where need respond maybe with concurrency caveat? \"case concurrency-r1-c1\" might mean they expect mention if concurrent access? It says Explain how a hash table finds a value, including collisions and one small example. We can include short note: if concurrent, need synchronization or concurrent structure; hash function must be deterministic; but basic lookup doesn't depend on concurrency. Since case has concurrency-r1 maybe maybe they want concurrency issue? The prompt explicitly: [case concurrency-r1-c1] Explain... Could be hidden requirement to answer with a specific structure? But no extra. Let's think: It's a simple algorithm explanation. Need final only. Need be thorough but not too long. Include steps: compute hash, reduce to bucket index, access bucket, compare full keys; if collision: chaining traverses linked list/array; open addressing probes sequence until empty or matching key. Example: table size 4, hash(k)=k % 4. Insert 12 -> bucket0; insert 8 -> bucket0 collision -> chain. Lookup 8: hash=0, inspect chain [12,8], matches 8 return value. Mention if not found until null/empty. Also mention load factor? maybe not necessary. Concurrency note optional: Under concurrent reads/writes, lookup needs memory visibility/locks or lock-free concurrent hash table. 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a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table finds a value using the key’s hash code:\n\n1. **Hash the key**: Compute a hash value from the key, e.g. `hash(key)`.\n2. **Map to a bucket**: Use the hash to choose a bucket, often `hash(key) % bucket_count`.\n3. **Search the bucket**: Compare the target key with keys stored in that bucket.\n4. **Return the value**: If the key matches, return the associated value.\n\n**Collisions** occur when two keys hash to the same bucket. Common solutions:\n- **Separate chaining**: each bucket stores a linked list or array of key/value pairs.\n- **Open addressing**: if a bucket is occupied, probe another bucket until an empty one is found.\n\n**Small example**:\n\nInsert:\n```text\nput(\"apple\", 1)\nput(\"banana\", 2)\nput(\"orange\", 3)\n```\n\nAssume `\"apple\"` and `\"orange\"` both hash to bucket 2.\n\nBucket 2:\n```text\n(\"apple\", 1) -> (\"orange\", 3)\n```\n\nLookup:\n```text\nget(\"orange\")\n```\n\nThe table hashes `\"orange\"` to bucket 2, then compares the keys in that bucket:\n- `\"apple\"` ≠ `\"orange\"`\n- `\"orange\"` = `\"orange\"`\n\nReturns:\n```text\n3\n```", "reasoning": "We need answer user: \"Explain how a hash table finds a value, including collisions and one small example.\n\nNeed provide concise but clear. Maybe mention hash function, bucket, compare key, collisions chaining/open addressing, probe/linked list. Small example. No need overly complex. Ensure case concurrency-r1-c2? Maybe maybe expects something about concurrency? The label case concurrency-r1-c2 perhaps from eval? Could require mention thread safety? User specifically asks hash table finds value, collisions example. We can include note that standard lookup needs synchronization in concurrent environments? But not requested. Maybe include small example. 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"seed": 3, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}}, "messages": [{"role": "user", "content": "[case concurrency-r1-c3]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table stores key-value pairs by using a hash function to map a key to an array index.\n\n### How lookup works\n\n1. **Hash the key** \n The key is passed to a hash function, producing an integer.\n\n2. **Find the bucket/index** \n That integer is reduced to an array index, usually with modulo:\n \\[\n index = hash(key) \\mod tableSize\n \\]\n\n3. **Go to that index** \n The table looks at the bucket at that index.\n\n4. **Compare keys** \n If the bucket contains a stored key, the table compares it with the requested key. If the keys match, it returns the associated value.\n\n### Collisions\n\nA collision happens when two different keys produce the same index.\n\nCommon solutions:\n\n- **Separate chaining**: each bucket stores multiple entries, often in a linked list or array.\n- **Open addressing**: if a bucket is full, the table searches for the next available slot using a probe sequence.\n\n### Small example\n\nSuppose we have a hash table of size 3 and use a simple hash:\n\n```text\nhash(\"apple\") % 3 = 0\nhash(\"banana\") % 3 = 1\nhash(\"cherry\") % 3 = 0\n```\n\nInserting:\n\n```text\nindex 0: (\"apple\", 1)\nindex 1: (\"banana\", 2)\n```\n\nNow insert `(\"cherry\", 3)`. Its hash is also 0, causing a collision.\n\nUsing separate chaining:\n\n```text\nindex 0: (\"apple\", 1) -> (\"cherry\", 3)\nindex 1: (\"banana\", 2)\n```\n\nNow, to find `\"cherry\"`:\n\n1. Hash `\"cherry\"` → index 0\n2. Go to index 0\n3. Check `\"apple\"` → not a match\n4. Check `\"cherry\"` → match\n5. Return value `3`", "reasoning": "We need answer user: \"[case concurrency-r1-c3]\nExplain how a hash table finds a value, including collisions and one small example.\"\n\nNeed provide concise but thorough. Probably mention hash function, index, buckets, compare key, collisions via chaining/open addressing, example. Also maybe concurrency? case id maybe irrelevant. 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To find a value, it follows these steps:\n\n1. **Hash the key** \n The table applies a hash function to the key to compute an index, or bucket, in the array.\n\n2. **Go to that bucket** \n The computed index tells the hash table where the value might be stored.\n\n3. **Check the entry or entries in the bucket** \n - If the bucket contains a key equal to the searched key, the table returns the associated value.\n - If the bucket contains multiple keys, it compares them until it finds a match.\n - If no match is found, the key is not present.\n\n## Handling collisions\n\nA collision happens when two different keys hash to the same bucket.\n\nCommon solutions:\n\n- **Separate chaining:** each bucket holds a list of key-value pairs. The table searches the list for the matching key.\n- **Open addressing:** if the desired bucket is occupied, the table looks for another empty slot according to a probing rule, such as linear probing or quadratic probing.\n\n## Small example\n\nSuppose a hash table has 4 buckets: `[0, 1, 2, 3]`.\n\nWe store:\n\n```text\nput(\"apple\", 10)\nput(\"banana\", 20)\nput(\"cherry\", 30)\n```\n\nAssume the hash function produces:\n\n```text\nhash(\"apple\") % 4 = 1\nhash(\"banana\") % 4 = 1\nhash(\"cherry\") % 4 = 3\n```\n\nWith chaining, the buckets look like:\n\n```text\nbucket 0: empty\nbucket 1: (\"apple\", 10) -> (\"banana\", 20)\nbucket 2: empty\nbucket 3: (\"cherry\", 30)\n```\n\nTo find", "reasoning": "We need to answer user's request: \"[case concurrency-r1-c4]\nExplain how a hash table finds a value, including collisions and one small example.\"\n\nNeed produce final answer. Need likely no complex. User wants explanation. Could mention steps: hash key to bucket, check entries, collisions handled by chaining or open addressing. Small example. Need likely concise. Also tag case? Maybe ignore? Ensure no concurrency mention? Case concurrency-r1-c4 maybe just benchmark id. 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how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table finds a value by using the **key** to compute an index into an array-like table.\n\nSteps:\n\n1. **Hash the key**\n - Apply a hash function to the key to get an integer.\n\n2. **Map to a bucket/index**\n - Convert that integer into a valid table index, often using:\n ```text\n index = hash(key) % table_size\n ```\n\n3. **Look in that bucket**\n - Go directly to that index.\n\n4. **Compare keys**\n - If the bucket contains stored keys, compare them with the search key until one matches, then return its value.\n\n## Collisions\n\nA **collision** happens when two different keys hash to the same index.\n\nCommon handling methods:\n\n- **Separ", "reasoning": "We need answer user: \"Explain how a hash table finds a value, including collisions and one small example. Need produce final answer concise but thorough. Ensure mention hashing key to bucket/index, probing chaining, collisions when multiple keys same index, handle via separate chaining/open addressing, lookup follows bucket and compares keys. Small example: hash function sum chars mod 5 or mod table size. Keys \"cat\", \"dog\" collision? Need show. Could use table size 7, hash(key)= (first letter code mod 7?) Simpler: hash(key)=len(key) mod 5? collisions maybe. Or hash(\"cat\")=3? Need show value retrieval. Example: table size 5, hash(k)= (first character index?) Let's design simple deterministic. Use mod 3 maybe.\n\nLet's craft final: Steps: compute hash code, map to array index, access bucket, compare keys, return value. Collisions: different keys same index; separate chaining stores linked list/array per bucket; open addressing searches neighboring slots. Example table size 5 hash(k)= (sum chars) mod 5. \"cat\" c=3,a=1,t=20 sum 24 mod5=4. \"act\" sum 24 also index4 collision. Store chain at index4 [cat -> value A, act -> value B]. Find \"act\": hash to 4, walk chain compare keys, match act return B. Find missing: hash to 4 compare none return null. Need maybe mention performance average O(1), worst O(n) if many collisions, load factor/rehash.\n\nNeed final with headings? 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"user", "content": "[case concurrency-r2-c2]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table finds a value by turning the key into an array index and then checking the slot at that index.\n\n1. **Hash the key**: The hash table applies a hash function to the key, producing a number.\n Example: `hash(\"apple\")` might produce `1024`.\n\n2. **Convert to an index**: It usually uses the remainder when divided by the table size.\n Example: table size = 10 \n `1024 % 10 = 4` \n So it checks bucket 4.\n\n3. **Look in the bucket**: If the bucket contains an entry with the same key, it returns the associated value. If not, the key is not present, unless there are collisions.\n\n**Collisions** happen when two different keys hash to the same index.\n\nCommon handling methods:\n- **Chaining**: Each bucket stores a list of key/value pairs. On lookup, it searches the list for the exact key.\n- **Open addressing**: If a bucket is taken, the table searches for the next available slot using a probe sequence.\n\n**Small example using chaining**:\n\nTable size = 5\n\n```text\ninsert(\"cat\", 10) -> hash = 3\ninsert(\"dog\", 20) -> hash = 3 collision\ninsert(\"bat\", 30) -> hash = 3 collision\n```\n\nBucket 3 might store:\n\n```text\ncat: 10 -> dog: 20 -> bat: 30\n```\n\nTo find `\"dog\"`:\n\n1. Hash `\"dog\"` to index 3.\n2. Check bucket 3.\n3. Compare `\"dog\"` with stored keys.\n4. Return `20`.", "reasoning": "We need answer user: \"Explain how a hash table finds a value, including collisions and one small example.\" Need produce final. Keep concise but thorough. 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true}, "max_tokens": 512, "seed": 7, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}}, "messages": [{"role": "user", "content": "[case concurrency-r2-c3]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table stores key-value pairs and finds a value using the key.\n\n1. **Hash the key**: The hash table applies a hash function to the key to produce an integer.\n ```text\n index = hash(key) % number_of_buckets\n ```\n This index tells the hash table which bucket to look in.\n\n2. **Go to the bucket**: The hash table jumps directly to that bucket, usually in O(1) average time.\n\n3. **Find the value in the bucket**:\n - If there is no collision, the bucket contains the value directly.\n - If multiple keys hash to the same bucket, the table checks the keys in that bucket until it finds the matching key, then returns its value.\n\n## Collisions\n\nA **collision** happens when two different keys produce the same index.\n\nExample:\n\n```text\nhash(\"apple\") % 4 = 2\nhash(\"banana\") % 4 = 2\n```\n\nBoth `\"apple\"` and `\"banana\"` go to bucket 2.\n\nA common collision strategy is **chaining**, where each bucket stores a small list of entries.\n\n### Small example\n\nBucket structure:\n\n```text\n0: []\n1: []\n2: [(\"apple\", 10), (\"banana\", 20)]\n3: []\n```\n\nTo find the value for `\"banana\"`:\n\n1. Compute the bucket index:\n ```text\n hash(\"banana\") % 4 = 2\n ```\n\n2. Look in bucket 2.\n\n3. Check the entries in bucket 2:\n - key `\"apple\"` does not match.\n - key `\"banana\"` matches.\n\n4. Return the associated value:\n ```text\n 20\n ```\n\nSo a hash table finds a value by hashing the key to an index, checking the appropriate bucket, and resolving collisions if multiple keys map to the same bucket.", "reasoning": "We need answer user: \"Explain how a hash table finds a value, including collisions and one small example.\" We need respond final with explanation. Need be clear. Mention hashing key to index, array bucket, find value. Collisions handled chaining/open addressing. Small example maybe keys 'apple','banana','cherry' with simple hash length? Need include collisions. 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"short-burst", "request": {"stream": true, "stream_options": {"include_usage": true}, "max_tokens": 512, "seed": 8, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}}, "messages": [{"role": "user", "content": "[case concurrency-r2-c4]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table finds a value by using the key to compute a bucket index, then searching only that bucket for the key.\n\n1. **Compute a hash**: The key is passed through a hash function to produce an integer.\n2. **Map to a bucket**: That integer is converted to a table index, usually with `hash(key) % table_size`.\n3. **Check the bucket**: The table looks in that bucket for a matching key.\n4. **Return the value**: If the key is found, return its value. If not found, report that the key is absent.\n\n### Collisions\n\nTwo different keys can produce the same bucket index. This is a **collision**.\n\nCommon collision strategies:\n\n- **Separate chaining**: Each bucket stores a linked list, array, or other container of key-value pairs.\n- **Open addressing**: If the bucket is occupied, the table probes for another slot, such as the next bucket.\n\n### Small example\n\nTable size = 7, hash function = `key % 7`\n\nInsert:\n\n```text\n25 -> hash = 25 % 7 = 4\n11 -> hash = 11 % 7 = ", "reasoning": "We need answer user: \"[case concurrency-r2-c4]\nExplain how a hash table finds a value, including collisions and one small example.\"\n\nNeed produce final answer. Need maybe consider concurrency tag? case concurrency-r2-c4 maybe perhaps test case for concurrency? The request just asks explain hash table finds value, including collisions and example. Maybe need mention concurrency? Tag says concurrency-r2-c4. Could be from benchmark expecting answer maybe with concurrency concerns? We can include note about concurrent access. But main is hash table lookup.\n\nNeed concise but thorough. Explain hashing key to index, bucket, compare keys, collisions (same hash) handled via chaining or open addressing, lookup traverses/probes until key found or empty/sentinel. Example: table size 7, hash(k)=k%7, keys 25, 11 collide? 25%7=4, 11%7=4. Use chaining. Get 11: hash 11=4, bucket contains 25 then 11, compare found. Include concurrency note: without synchronization concurrent inserts/deletes/rehash can cause incorrect reads; use concurrent data structure/locks.\n\nNeed maybe mention load factor/rehash. 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index:\n\n1. **Hash the key**: Compute a hash code from the key, e.g. `hash(\"name\")`.\n2. **Map to a bucket**: Convert the hash into an array index, often `hash % table_size`.\n3. **Look up the bucket**: Check the value stored there.\n\n**Collisions** happen when two different keys hash to the same index. Common fixes:\n\n- **Separate chaining**: each bucket stores a small list of key-value pairs.\n- **Open addressing**: if the slot is full, probe for another slot.\n\n**Small example:**\n\nTable size = 5\n\n- Insert `\"apple\"` → hash gives index 2 → store at bucket 2\n- Insert `\"banana\"` → hash also gives index 2 → collision\n\nWith chaining, bucket 2 becomes:\n\n```text\nbucket 2: (\"apple\" -> 5), (\"banana\" -> 10)\n```\n\nTo find `\"banana\"`, hash it to bucket 2, then search the bucket’s list until the key matches.", "reasoning": "We need answer user: \"Explain how a hash table finds a value, including collisions and one small example.\n\nNeed produce final explanation concise. Include hashing key to index, bucket, direct array lookup, collisions (separate chaining/open addressing), example. Need likely not overdo. 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Need likely address concurrency? The tag case concurrency-r3-c2 maybe hidden? User asks explain hash table finds a value, including collisions and example. Might need mention concurrency? The case tag maybe indicates context? Could be from some evaluation requiring concise? Need maybe mention thread safety? Let's parse: \"[case concurrency-r3-c2] Explain how a hash table finds a value, including collisions and one small example.\" Maybe they expect answer for hash table lookup under concurrency? Could include that normal hash table isn't thread-safe, concurrent hash table needed. But prompt says \"including collisions and one small example\" not explicitly concurrency. Tag concurrency-r3-c2 suggests maybe test case category concurrency; maybe need explain while being careful about concurrency? The instruction \"Explain how a hash table finds a value\" could require mention lock-free/concurrent safe? Let's think.\n\nNeed final maybe: A hash table maps keys to values. To find, hash key to bucket index; go to bucket; if direct chaining, scan entries in bucket comparing keys; if open addressing, probe sequence until empty/sentinel or match. Collisions happen when different keys hash to same index; handled by chaining, open addressing, robin hood etc. If concurrent, lookups can be concurrent but updates require synchronization; readers may need locks/atomic reads/volatile/immutable snapshots; avoid data races. Example: table size 7, hash(k)=k mod 7. Put 5 in bucket 5; put 12 -> bucket 5 collision. With chaining bucket 5 has [5->V5, 12->V12]. Find 12: hash=5, traverse list compare 5 != 12 then 12 == 12 return V12.\n\nNeed possibly include if using concurrent: in a concurrent hash table, lookup may traverse bucket without lock if structure safe; but insertion can resize causing concurrent readers to handle old buckets. But user didn't ask. Tag maybe should include. Need not overdo.\n\nNeed ensure answer addresses \"how finds a value\" step by step. Could mention hash function deterministic, equality. 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"chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}}, "messages": [{"role": "user", "content": "[case concurrency-r3-c3]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table finds a value in a few steps:\n\n1. **Hash the key**\n - The key is passed through a hash function to produce a numeric hash code.\n - Example: `hash(\"apple\") → 17`.\n\n2. **Choose a bucket**\n - The hash code is mapped to an array index, often using something like `index = hash_code % array_length`.\n - Example: with 10 buckets, `17 % 10 = 7`, so look in bucket 7.\n\n3. **Search the bucket**\n - If the bucket contains exactly the key, return the associated value.\n - If not, handle collisions.\n\n**Collisions** happen when two different keys hash to the same bucket.\n\nCommon ways to handle them:\n\n- **Separate chaining**\n - Each bucket holds a list of key/value pairs.\n - To find a value, search that list and compare keys directly.\n - Example: both `\"apple\"` and `\"banana\"` hash to bucket 7.\n - Bucket 7: `[(\"apple\", 1), (\"banana\", 2)]", "reasoning": "We need answer user: \"[case concurrency-r3-c3]\nExplain how a hash table finds a value, including collisions and one small example.\"\n\nNeed produce final answer. Need maybe consider concurrency tag? case concurrency-r3-c3 maybe asks explain hash table finds value, collisions, example. Could include concurrency? Title concurrency maybe case concurrency? User only asks explain hash table finds value including collisions and one small example. Need concise but thorough. Could mention lock/sharding if concurrent? The bracket [case concurrency-r3-c3] might be a benchmark id, not necessarily require concurrency. But maybe should address concurrency: if multiple threads, need synchronization (mutex/read-write locks or concurrent map). But prompt asks explain how hash table finds a value, including collisions and small example. Let's craft clear: hash key -> bucket index via hash function modulo bucket array. Look up bucket. If separate chaining collision, traverse linked list/equality compare key. If open addressing, probe sequence. Small example: keys \"apple\" hash=..., bucket 3; insert \"banana\" collides same bucket; lookup \"banana\" hash to bucket 3, compare nodes, matches. Maybe concurrency: in multithreaded, lock bucket/map during resize etc. Need ensure no overcomplication. 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To find a value:\n\n1. Take the key.\n2. Apply a hash function to compute an array index.\n3. Go to that index’s bucket.\n4. Check stored entries for the requested key.\n5. If the key matches, return its value.\n\nCollisions happen when two keys hash to the same index.\n\nCommon collision handling:\n- Separate chaining: each bucket stores multiple entries, often in a small list.\n- Open addressing: if the bucket is taken, try the next slot using a probe sequence.\n\nExample:\n- Hash table size: 5\n- Hash function: `key % 5`\n- Insert `10 → \"apple\"`: `10 % 5 = 0`\n- Insert `15 → \"banana\"`: `15 % 5 = 0`, collision at index 0\n\nIf using separate chaining, index 0 holds both pairs:\n`[0] -> (10, \"apple\") -> (15, \"banana\")`\n\nTo find `15`:\n- Hash: `15 % 5 = 0`\n- Check index 0 entries\n- Match key `15`, return `\"banana\"`\n\nIf the hash table is shared across threads, access must be synchronized or use a thread-safe concurrent hash table.", "reasoning": "We need answer user: \"Explain how a hash table finds a value, including collisions and one small example. [case concurrency-r3-c4]\". Need likely include concurrency? The tag says case concurrency-r3-c4 maybe from benchmark. Need answer probably mention thread safety? User asks hash table finds value, including collisions and example. Could include concurrency caveat? Need maybe concise. Need final. Need ensure maybe if concurrency tag, mention if shared across threads use locks/concurrent structure. Need no code? Small example. Let's craft clear explanation: hash key to index, array bucket, compare key; collisions: open addressing or separate chaining; lookup follows same path. Example: table size 5, hash(k)=k mod5. Insert 10->idx0, 15 chain/open add next. Find 15 hash=0 then check chain until key match. Concurrency: need synchronization. Need maybe note value found by hash key not value. Ensure answer covers collisions and small example. 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b/bench/results/2026-11-08-standard-4x-rtx-3090-be712cdc/provenance/chat_template.jinja new file mode 100644 index 00000000000..a0877006589 --- /dev/null +++ b/bench/results/2026-11-08-standard-4x-rtx-3090-be712cdc/provenance/chat_template.jinja @@ -0,0 +1,184 @@ +{%- set image_count = namespace(value=0) %} +{%- set video_count = namespace(value=0) %} +{%- macro render_content(content, do_vision_count, is_system_content=false) %} + {%- if content is string %} + {{- content }} + {%- elif content is iterable and content is not mapping %} + {%- for item in content %} + {%- if 'image' in item or 'image_url' in item or item.type == 'image' %} + {%- if is_system_content %} + {{- raise_exception('System message cannot contain images.') }} + {%- endif %} + {%- if do_vision_count %} + {%- set image_count.value = image_count.value + 1 %} + {%- endif %} + {%- if add_vision_id %} + {{- 'Picture ' ~ image_count.value ~ ': ' }} + {%- endif %} + {{- '<|vision_start|><|image_pad|><|vision_end|>' }} + {%- elif 'video' in item or item.type == 'video' %} + {%- if is_system_content %} + {{- raise_exception('System message cannot contain videos.') }} + {%- endif %} + {%- if do_vision_count %} + {%- set video_count.value = video_count.value + 1 %} + {%- endif %} + {%- if add_vision_id %} + {{- 'Video ' ~ video_count.value ~ ': ' }} + {%- endif %} + {{- '<|vision_start|><|video_pad|><|vision_end|>' }} + {%- elif 'text' in item %} + {{- item.text }} + {%- else %} + {{- raise_exception('Unexpected item type in content.') }} + {%- endif %} + {%- endfor %} + {%- elif content is none or content is undefined %} + {{- '' }} + {%- else %} + {{- raise_exception('Unexpected content type.') }} + {%- endif %} +{%- endmacro %} +{%- if not messages %} + {{- raise_exception('No messages provided.') }} +{%- endif %} +{%- set sysns = namespace(count=0, text='') %} +{%- for message in messages %} + {%- if sysns.count == loop.index0 and (message.role == 'system' or message.role == 'developer') %} + {%- set sys_content = render_content(message.content, false, true)|trim %} + {%- if sys_content %} + {%- set sysns.text = sysns.text + ('\n' if sysns.text else '') + sys_content %} + {%- endif %} + {%- set sysns.count = sysns.count + 1 %} + {%- endif %} +{%- endfor %} +{%- set num_sys = sysns.count %} +{%- set merged_system = sysns.text %} +{%- set reasoning_instructions = '' %} +{%- if enable_thinking is undefined or enable_thinking is true %} + {%- set resolved_reasoning_effort = reasoning_effort|default('xhigh') %} + {%- if resolved_reasoning_effort == 'high' %} + {%- set resolved_reasoning_effort = 'xhigh' %} + {%- endif %} + {%- if resolved_reasoning_effort not in ('xhigh', 'medium', 'low') %} + {{- raise_exception('Unexpected reasoning effort ' ~ reasoning_effort ~ '. Supported types are xhigh (default), medium, and low.') }} + {%- endif %} + {%- if resolved_reasoning_effort == 'xhigh' %} + {%- set reasoning_instructions = 'Reasoning effort is set to xhigh. Please think carefully through the task, validate key assumptions, consider plausible alternatives, and prioritize correctness, consistency, and clarity in the final answer.' %} + {%- elif resolved_reasoning_effort == 'low' %} + {%- set reasoning_instructions = 'Reasoning effort is set to low. Keep your thinking brief and focused, moving directly to the conclusion without unnecessary elaboration.' %} + {%- endif %} +{%- endif %} +{%- if tools and tools is iterable and tools is not mapping %} + {{- '<|im_start|>system\n' }} + {%- if reasoning_instructions %} + {{- reasoning_instructions + '\n\n' }} + {%- endif %} + {{- "# Tools\n\nYou have access to the following functions:\n\n" }} + {%- for tool in tools %} + {{- "\n" }} + {{- tool | tojson }} + {%- endfor %} + {{- "\n" }} + {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n\n\n\nvalue_1\n\n\nThis is the value for the second parameter\nthat can span\nmultiple lines\n\n\n\n\n\nReminder:\n- Function calls MUST follow the specified format: an inner block must be nested within XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n' }} + {%- if merged_system %} + {{- '\n\n' + merged_system }} + {%- endif %} + {{- '<|im_end|>\n' }} +{%- else %} + {%- if merged_system %} + {{- '<|im_start|>system\n' + (reasoning_instructions + '\n\n' if reasoning_instructions else '') + merged_system + '<|im_end|>\n' }} + {%- elif reasoning_instructions %} + {{- '<|im_start|>system\n' + reasoning_instructions + '<|im_end|>\n' }} + {%- endif %} +{%- endif %} +{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %} +{%- for message in messages[::-1] %} + {%- set index = (messages|length - 1) - loop.index0 %} + {%- if ns.multi_step_tool and message.role == "user" %} + {%- set content = render_content(message.content, false)|trim %} + {%- if not(content.startswith('') and content.endswith('')) %} + {%- set ns.multi_step_tool = false %} + {%- set ns.last_query_index = index %} + {%- endif %} + {%- endif %} +{%- endfor %} +{%- for message in messages %} + {%- if loop.index0 >= num_sys %} + {%- set content = render_content(message.content, true)|trim %} + {%- if message.role == "system" or message.role == "developer" %} + {{- raise_exception('System message must be at the beginning.') }} + {%- elif message.role == "user" %} + {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }} + {%- elif message.role == "assistant" %} + {%- set reasoning_content = '' %} + {%- if message.reasoning_content is string %} + {%- set reasoning_content = message.reasoning_content %} + {%- endif %} + {%- set reasoning_content = reasoning_content|trim %} + {%- if preserve_thinking is undefined or preserve_thinking is true or loop.index0 > ns.last_query_index %} + {{- '<|im_start|>' + message.role + '\n\n' + reasoning_content + '\n\n\n' + content }} + {%- else %} + {{- '<|im_start|>' + message.role + '\n' + content }} + {%- endif %} + {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %} + {%- for tool_call in message.tool_calls %} + {%- if tool_call.function is defined %} + {%- set tool_call = tool_call.function %} + {%- endif %} + {%- if tool_call.name is not defined or tool_call.name is none %} + {{- raise_exception('Tool call is missing a function name.') }} + {%- endif %} + {%- if loop.first %} + {%- if content|trim %} + {{- '\n\n\n\n' }} + {%- else %} + {{- '\n\n' }} + {%- endif %} + {%- else %} + {{- '\n\n\n' }} + {%- endif %} + {%- if tool_call.arguments is mapping %} + {%- for args_name, args_value in tool_call.arguments|items %} + {{- '\n' }} + {%- set args_value = args_value | string if args_value is string else args_value | tojson | safe %} + {{- args_value }} + {{- '\n\n' }} + {%- endfor %} + {%- elif tool_call.arguments is string %} + {%- if tool_call.arguments|trim %} + {{- raise_exception('Tool call arguments for function "' + (tool_call.name | string) + '" were passed as a JSON string. Parse them into an object before calling apply_chat_template.') }} + {%- endif %} + {%- elif tool_call.arguments is defined and tool_call.arguments is not none %} + {{- raise_exception('Tool call arguments for function "' + (tool_call.name | string) + '" must be an object/mapping or a JSON string.') }} + {%- endif %} + {{- '\n' }} + {%- endfor %} + {%- endif %} + {{- '<|im_end|>\n' }} + {%- elif message.role == "tool" %} + {%- if loop.previtem and loop.previtem.role != "tool" %} + {{- '<|im_start|>user' }} + {%- endif %} + {{- '\n\n' }} + {{- content }} + {{- '\n' }} + {%- if not loop.last and loop.nextitem.role != "tool" %} + {{- '<|im_end|>\n' }} + {%- elif loop.last %} + {{- '<|im_end|>\n' }} + {%- endif %} + {%- else %} + {{- raise_exception('Unexpected message role.') }} + {%- endif %} + {%- endif %} +{%- endfor %} +{%- if add_generation_prompt %} + {{- '<|im_start|>assistant\n' }} + {%- if enable_thinking is defined and enable_thinking is false %} + {{- '\n\n\n\n' }} + {%- else %} + {{- '\n' }} + {%- endif %} +{%- endif %} +{#- Unsloth fixes - developer role, merged system messages, tool calling #} \ No newline at end of file diff --git a/bench/results/2026-11-08-standard-4x-rtx-3090-be712cdc/provenance/corpus-build.json b/bench/results/2026-11-08-standard-4x-rtx-3090-be712cdc/provenance/corpus-build.json new file mode 100644 index 00000000000..472565694c2 --- /dev/null +++ b/bench/results/2026-11-08-standard-4x-rtx-3090-be712cdc/provenance/corpus-build.json @@ -0,0 +1,206 @@ +{ + "protocol_id": "strata-qwen38-thinking-v1-draft.1", + "bundle": "standard-v1", + "profile": "qwen3.8-flash-next-thinking", + "tokenizer_files": { + "vocab.json": "4ba64f0332abcfb0b600b7df1537d1e836e68009d5fb7cdb77339738dc6365c4", + "merges.txt": "080cf95432173729d160346b7882bd2a644b07f7a3813a3eb73f4e66787bfde9", + "token_type.json": "5088c8c298fc06af8382ddb3b76c888703ac2634e82263b97eedcc2ad202738b" + }, + "template": { + "path": "serve/chat_template.jinja", + "sha256": "ae9644304511ef71f28e036b6f65b4c709880bc5a23b7d0b42125ec63a8c70ca" + }, + "template_kwargs": { + "enable_thinking": true, + "preserve_thinking": true, + "reasoning_effort": "xhigh" + }, + "record_format": "record{:06d}: alpha beta gamma delta epsilon zeta eta theta.", + "short_task": "Explain how a hash table finds a value, including collisions and one small example.", + "summary_question": "Summarize the structure of these records and explain how to look up a record by its ID.", + "record_counts": { + "prompt-4k": { + "records": 211, + "target_tokens": 4096 + }, + "prompt-16k": { + "records": 858, + "target_tokens": 16384 + } + }, + "length_tolerance": 0.02, + "requests": [ + { + "id": "warmup", + "input_tokens": 75, + "max_shared_prefix_tokens": 47 + }, + { + "id": "performance-short-r1", + "input_tokens": 77, + "max_shared_prefix_tokens": 50 + }, + { + "id": "performance-prompt-4k-r1", + "input_tokens": 4093, + "max_shared_prefix_tokens": 54 + }, + { + "id": "performance-prompt-16k-r1", + "input_tokens": 16387, + "max_shared_prefix_tokens": 55 + }, + { + "id": "performance-short-r2", + "input_tokens": 77, + "max_shared_prefix_tokens": 50 + }, + { + "id": "performance-prompt-4k-r2", + "input_tokens": 4093, + "max_shared_prefix_tokens": 54 + }, + { + "id": "performance-prompt-16k-r2", + "input_tokens": 16387, + "max_shared_prefix_tokens": 55 + }, + { + "id": "performance-short-r3", + "input_tokens": 77, + "max_shared_prefix_tokens": 50 + }, + { + "id": "performance-prompt-4k-r3", + "input_tokens": 4093, + "max_shared_prefix_tokens": 54 + }, + { + "id": "performance-prompt-16k-r3", + "input_tokens": 16387, + "max_shared_prefix_tokens": 55 + }, + { + "id": "sanity-I1", + "input_tokens": 82, + "max_shared_prefix_tokens": 49 + }, + { + "id": "sanity-I2", + "input_tokens": 90, + "max_shared_prefix_tokens": 49 + }, + { + "id": "sanity-I3", + "input_tokens": 85, + "max_shared_prefix_tokens": 49 + }, + { + "id": "sanity-I4", + "input_tokens": 71, + "max_shared_prefix_tokens": 49 + }, + { + "id": "sanity-R1", + "input_tokens": 4089, + "max_shared_prefix_tokens": 49 + }, + { + "id": "sanity-R2", + "input_tokens": 4089, + "max_shared_prefix_tokens": 49 + }, + { + "id": "sanity-R3", + "input_tokens": 16382, + "max_shared_prefix_tokens": 49 + }, + { + "id": "sanity-R4", + "input_tokens": 16390, + "max_shared_prefix_tokens": 49 + }, + { + "id": "sanity-T1", + "input_tokens": 325, + "max_shared_prefix_tokens": 61 + }, + { + "id": "sanity-T2", + "input_tokens": 335, + "max_shared_prefix_tokens": 62 + }, + { + "id": "sanity-T3", + "input_tokens": 352, + "max_shared_prefix_tokens": 61 + }, + { + "id": "sanity-T4", + "input_tokens": 339, + "max_shared_prefix_tokens": 62 + }, + { + "id": "concurrency-r1-c1", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + }, + { + "id": "concurrency-r1-c2", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + }, + { + "id": "concurrency-r1-c3", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + }, + { + "id": "concurrency-r1-c4", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + }, + { + "id": "concurrency-r2-c1", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + }, + { + "id": "concurrency-r2-c2", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + }, + { + "id": "concurrency-r2-c3", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + }, + { + "id": "concurrency-r2-c4", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + }, + { + "id": "concurrency-r3-c1", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + }, + { + "id": "concurrency-r3-c2", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + }, + { + "id": "concurrency-r3-c3", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + }, + { + "id": "concurrency-r3-c4", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + } + ], + "note": "input_tokens counts the rendered thinking request with the generation prompt. max_shared_prefix_tokens is the longest token prefix this request shares with any other request of the bundle: cache reuse above it means the user payload was read from the cache." +} diff --git a/bench/results/2026-11-08-standard-4x-rtx-3090-be712cdc/provenance/corpus-manifest.sha256 b/bench/results/2026-11-08-standard-4x-rtx-3090-be712cdc/provenance/corpus-manifest.sha256 new file mode 100644 index 00000000000..3c6046bc54c --- /dev/null +++ b/bench/results/2026-11-08-standard-4x-rtx-3090-be712cdc/provenance/corpus-manifest.sha256 @@ -0,0 +1,35 @@ +bc6c1f81d86863c3dc36a31f58010701d8ab05180f69f86c6978214409e43af2 build.json +f724855774dfbea89fade712a70d534a085c88cda6abc123db419fd79eefab49 requests/concurrency-r1-c1.json +2c85f877abbf144ca065c58efc2a7568aaf2c8dc317ad8266e78c149f8245abb requests/concurrency-r1-c2.json +264097f61645a0d5089562dc003b7748b1c20339c2df1290ad6664fc1834068a requests/concurrency-r1-c3.json +65895c5a5fab53c06e9358d88d921f1bfc9dc7cc8b6e8a2521ac90de080ff470 requests/concurrency-r1-c4.json 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b/bench/results/2026-11-08-standard-4x-rtx-3090-be712cdc/provenance/launch-config.json new file mode 100644 index 00000000000..14ba5984aef --- /dev/null +++ b/bench/results/2026-11-08-standard-4x-rtx-3090-be712cdc/provenance/launch-config.json @@ -0,0 +1,109 @@ +{ + "exe": "/bin/strata-212-stocktab-f83fd81691a5b053", + "args": [ + "--pack", + "/unsloth-ud-iq4_xs", + "--native", + "", + "--expert-profile", + "", + "--expert-cache", + "auto", + "--prefill", + "512", + "--spec", + "4", + "--spec-min-p", + "0.5", + "--mtp", + "/mtp/rt", + "--max-context", + "262144", + "--kv", + "int8", + "--resident-experts", + "--trim-stage-weights", + "--ple-io", + "ram", + "--aux-cpus", + "65-127", + "--conversation-cache-mib", + "126976", + "--conversation-cache-slots", + "448", + "--kv-resident", + "28672", + "--conversation-cache-min-free-mib", + "16384", + "--conversation-cache-min-tokens", + "1024", + "--vision", + "--prompt-cache-every", + "8192", + "--prompt-cache", + "12" + ], + "cwd": "", + "tokenizer": "/unsloth-ud-iq4_xs/tokenizer", + "model_name": "qwen3.8-flash-next-unsloth-ud-iq4_xs", + "log": "/engine-C-r2.log", + "lib_dirs": [ + "/usr/local/cuda-13.0/bin", + "/usr/local/cuda-13.0/lib64" + ], + "port": 8091, + "gpu": [ + 0, + 1, + 2, + 3 + ], + "gpus_asked": true, + "layer_split": "12,25,37", + "open_browser": false, + "parallel": 16, + "env": { + "STRATA_MMQ_DIRECT": "1", + "STRATA_SLOT_COPY_DIRECT": "1", + "STRATA_PIPE_BYIELD_NODRAIN": "1", + "STRATA_ADMIT_MERGE_FIRST": "1", + "STRATA_CKPT_POOL": "1", + "STRATA_CKPT_THREADS": "1", + "STRATA_SLOT_CKPT_MOVE": "1", + "STRATA_SLOT_COPY_BATCHSYNC": "1", + "STRATA_SPLIT_MTP_BATCH": "1", + "STRATA_MMQ_GROUP_SORT": "1", + "STRATA_BATCH_SELF_COMMIT": "1", + "STRATA_NAN_GUARD": "0", + "STRATA_QSA_SLOTS": "1", + "STRATA_HANDOFF_PIPE": "8", + "STRATA_KV_PREFETCH": "1", + "MALLOC_MMAP_THRESHOLD_": "1048576", + "MALLOC_TRIM_THRESHOLD_": "1048576", + "STRATA_GR_FAST": "1", + "STRATA_GR_NORM_FAST": "1", + "STRATA_MMVF_ROWS": "1", + "STRATA_GDN_TC": "0", + "STRATA_GDN_CONVL2": "0", + "STRATA_PROMPT_ATTN_IMMA": "0", + "STRATA_AUTO_NOBORROW": "0", + "STRATA_PF_W16_CACHE_MIB": "0", + "STRATA_MMQ_KQ": "0", + "STRATA_BATCH_GDN_GROUPS": "1", + "STRATA_BATCH_ATTN_ROWS": "1", + "STRATA_CKPT_POOL_READY": "4" + }, + "vision": { + "exe": "/strata-vision-cpu", + "mmproj": "", + "model": "", + "gpu": false, + "threads": 32, + "max_tokens": 1024 + }, + "tool_call_recovery": false, + "sampling": { + "presence_penalty": 0 + }, + "drafting": "mtp" +} diff --git a/bench/results/2026-11-08-standard-4x-rtx-3090-be712cdc/results.json b/bench/results/2026-11-08-standard-4x-rtx-3090-be712cdc/results.json new file mode 100644 index 00000000000..98c748e233f --- /dev/null +++ b/bench/results/2026-11-08-standard-4x-rtx-3090-be712cdc/results.json @@ -0,0 +1,2580 @@ +{ + "format": "strata-standard-benchmark", + "schema_version": 1, + "protocol": { + "id": "strata-qwen38-thinking-v1-draft.1", + "git_commit": "146df3c468739147f520ac3816de806f71232571", + "profile": "qwen3.8-flash-next-thinking", + "corpus_sha256": "e75eff8b9feea04f745520b392c4c17d97aefc1ba185e222aa6740efa8f68407", + "model_card_revision": null + }, + "run": { + "id": "20261108T170152Z-be712cdc", + "started_at": "2026-11-08T17:01:52Z", + "status": "complete", + "required_duration_s": 60.921, + "optional_duration_s": 21.072, + "optional_concurrency": true, + "command": "strata bench run --profile /cfg/run-C-r2.json --no-start --out /stdbench-C-r2 --optional-concurrency --track custom --track-notes C-r2: Strata-212@146df3c4, engine strata-212-stocktab-f83fd81691a5b053, CUDA 13.0 source build (STRATA_MMQ_TAB=ON), 4x RTX 3090 320 W, layer split over 4 cards; stock v0.2.12 with our production args/env (16 slots, 262K, int8 KV, MTP, resident experts, conversation cache) + upstream's sm_86 table + stack, bit-changing defaults pinned to 0, sampling.presence_penalty 0; server env: [STRATA_ADMIT_SHORT_FIRST=8192] --quantization UD-IQ4_XS --build-options CUDA 13.0, sm_86, STRATA_MMQ_TAB=ON, NATIVE_EXPERTS=ON, Q6K_EXPERTS=ON, MMQ_KQUANTS=ON --output json" + }, + "hardware": { + "gpus": [ + { + "device_index": 0, + "name": "NVIDIA GeForce RTX 3090", + "memory_bytes": 25769803776, + "memory_kind": "dedicated", + "power_limit_w": 320.0 + }, + { + "device_index": 1, + "name": "NVIDIA GeForce RTX 3090", + "memory_bytes": 25769803776, + "memory_kind": "dedicated", + "power_limit_w": 320.0 + }, + { + "device_index": 2, + "name": "NVIDIA GeForce RTX 3090", + "memory_bytes": 25769803776, + "memory_kind": "dedicated", + "power_limit_w": 320.0 + }, + { + "device_index": 3, + "name": "NVIDIA GeForce RTX 3090", + "memory_bytes": 25769803776, + "memory_kind": "dedicated", + "power_limit_w": 320.0 + } + ], + "cpu": "AMD Ryzen Threadripper 3990X 64-Core Processor", + "ram_bytes": 270073282560, + "storage": [ + { + "kind": "nvme", + "model": "CT1000P310SSD8", + "bus": "nvme" + } + ], + "background_workloads": null + }, + 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"/requests/32/evaluation": "not applicable outside the sanity stage", + "/requests/33/error": "none: the request ended normally", + "/requests/33/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/33/evaluation": "not applicable outside the sanity stage" + }, + "extensions": { + "suite": "standard-v1", + "runner": "strata_cli.bench_standard", + "status_reasons": [], + "started_engine": false, + "server_requests_before_run": 0, + "other_engine_options": { + "--pack": "unsloth-ud-iq4_xs", + "--native": "Qwen3.8-Flash-Next-UD-IQ4_XS-00001-of-00003.gguf", + "--max-context": "262144", + "--resident-experts": true, + "--trim-stage-weights": true, + "--ple-io": "ram", + "--aux-cpus": "65-127", + "--conversation-cache-mib": "126976", + "--conversation-cache-slots": "448", + "--conversation-cache-min-free-mib": "16384", + "--conversation-cache-min-tokens": "1024", + "--vision": true, + "--prompt-cache-every": "8192", + "--prompt-cache": "12", + "--batch": "16" + }, + "request_checks": { + "warmup": { + "max_shared_prefix_tokens": 47, + "frozen_input_tokens": 75, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "performance-short-r1": { + "max_shared_prefix_tokens": 50, + "frozen_input_tokens": 77, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "performance-prompt-4k-r1": { + "max_shared_prefix_tokens": 54, + "frozen_input_tokens": 4093, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "performance-prompt-16k-r1": { + "max_shared_prefix_tokens": 55, + "frozen_input_tokens": 16387, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "performance-short-r2": { + "max_shared_prefix_tokens": 50, + "frozen_input_tokens": 77, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "performance-prompt-4k-r2": { + "max_shared_prefix_tokens": 54, + "frozen_input_tokens": 4093, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "performance-prompt-16k-r2": { + "max_shared_prefix_tokens": 55, + "frozen_input_tokens": 16387, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "performance-short-r3": { + "max_shared_prefix_tokens": 50, + "frozen_input_tokens": 77, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "performance-prompt-4k-r3": { + "max_shared_prefix_tokens": 54, + "frozen_input_tokens": 4093, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "performance-prompt-16k-r3": { + "max_shared_prefix_tokens": 55, + "frozen_input_tokens": 16387, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-I1": { + "max_shared_prefix_tokens": 49, + "frozen_input_tokens": 82, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-I2": { + "max_shared_prefix_tokens": 49, + "frozen_input_tokens": 90, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-I3": { + "max_shared_prefix_tokens": 49, + "frozen_input_tokens": 85, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-I4": { + "max_shared_prefix_tokens": 49, + "frozen_input_tokens": 71, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-R1": { + "max_shared_prefix_tokens": 49, + "frozen_input_tokens": 4089, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-R2": { + "max_shared_prefix_tokens": 49, + "frozen_input_tokens": 4089, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-R3": { + "max_shared_prefix_tokens": 49, + "frozen_input_tokens": 16382, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-R4": { + "max_shared_prefix_tokens": 49, + "frozen_input_tokens": 16390, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-T1": { + "max_shared_prefix_tokens": 61, + "frozen_input_tokens": 325, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-T2": { + "max_shared_prefix_tokens": 62, + "frozen_input_tokens": 335, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-T3": { + "max_shared_prefix_tokens": 61, + "frozen_input_tokens": 352, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-T4": { + "max_shared_prefix_tokens": 62, + "frozen_input_tokens": 339, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r1-c1": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r1-c2": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r1-c3": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r1-c4": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r2-c1": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r2-c2": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r2-c3": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r2-c4": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r3-c1": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r3-c2": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r3-c3": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r3-c4": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + } + }, + "optional_stage_skipped": false, + "api_key_sent": false + } +} diff --git a/bench/results/2026-11-08-standard-4x-rtx-3090-d8cef8bb/README.md b/bench/results/2026-11-08-standard-4x-rtx-3090-d8cef8bb/README.md new file mode 100644 index 00000000000..a0d6c3f567c --- /dev/null +++ b/bench/results/2026-11-08-standard-4x-rtx-3090-d8cef8bb/README.md @@ -0,0 +1,79 @@ +# Strata standard benchmark: NVIDIA GeForce RTX 3090, NVIDIA GeForce RTX 3090, NVIDIA GeForce RTX 3090, NVIDIA GeForce RTX 3090 + +Protocol `strata-qwen38-thinking-v1-draft.1` (draft), run `20261108T163437Z-d8cef8bb`, started 2026-11-08T16:34:37Z. **Status: complete.** + +Written by `strata bench run`. The machine-readable result is [results.json](results.json); every request, its raw usage and timings and the client event offsets are in [outputs.jsonl](outputs.jsonl). + +## Hardware and software + +- GPU: NVIDIA GeForce RTX 3090 (24.0 GiB dedicated); NVIDIA GeForce RTX 3090 (24.0 GiB dedicated); NVIDIA GeForce RTX 3090 (24.0 GiB dedicated); NVIDIA GeForce RTX 3090 (24.0 GiB dedicated) +- CPU: AMD Ryzen Threadripper 3990X 64-Core Processor; RAM: 251.5 GiB +- Storage of the model files: nvme CT1000P310SSD8 (nvme) +- OS: Ubuntu 24.04.5 LTS 7.0.0-38-generic; drivers: gpu-driver 580.196.07; runtime: cuda 13.0 +- Strata commit: `a099d2953b6b70084d92da0f3ac7b015719a4d5e`; engine 0.1.58; source build +- Background work: not measured + +## Model and configuration + +- Model: qwen3.8-flash-next-unsloth-ud-iq4_xs; quantization UD-IQ4_XS; revision not measured; source revision not measured +- Files: `Qwen3.8-Flash-Next-UD-IQ4_XS-00001-of-00003.gguf` `5ce89370720f8bf9...`; `Qwen3.8-Flash-Next-UD-IQ4_XS-00002-of-00003.gguf` `577a38a2392b40ca...`; `Qwen3.8-Flash-Next-UD-IQ4_XS-00003-of-00003.gguf` `d4634e6d84f0ebb0...`; `expert-profile.bin` `8f59b4aa8873209d...` +- Track: **custom** (PT: Strata-212p@a099d295, engine strata-212p-74702164d1e5e37d, CUDA 13.0 source build (STRATA_MMQ_TAB=ON), 4x RTX 3090 320 W, layer split over 4 cards; v0.2.12 + our series (havok2-htwo) + P9-P11 + upstream's sm_86 table, 16 slots, 262K, int8 KV, MTP, bit-changing defaults pinned to 0 (exact); server env: [STRATA_ADMIT_BY_NEW=1 STRATA_YIELD_SHORT=2048 STRATA_YIELDS_MAX=4 STRATA_ADMIT_SHORT_FIRST=8192 STRATA_PREFIX_DIAG=1]) +- Context 262144 tokens; server capacity 16 slot(s) +- Sampling: temperature 1.0, top_p 0.95, top_k 20, min_p 0.0, presence_penalty 0.0, repetition_penalty 1.0, reasoning_effort xhigh; thinking on, preserved +- Engine options: `config.json`; chat template: `provenance/chat_template.jinja` + +## Method + +The frozen requests of `bench/prompts/standard-v1` (corpus `e75eff8b9feea04f...`) were sent over loopback HTTP, streaming, one at a time, in this order: 1 warm-up (excluded), 3 repetitions of the short, 4K and 16K prompts, and the twelve sanity checks. Prompt and decode speed are the engine's own `timings`; time to first token is the client's monotonic clock from dispatch to the first nonempty reasoning, answer or tool-call delta. No request was retried. Time after the model loaded: 0 min 55 s. + +## Results + +| Case | Prompt tok/s | Decode tok/s | TTFT s | First answer s | Total s | Capped | +| --- | --- | --- | --- | --- | --- | --- | +| short | n/a | 154.3 (145.5-155.0) n=3 | 0.23 (0.14-0.23) n=3 | 0.79 (0.74-1.25) n=3 | 2.6 (2.2-2.9) n=3 | 0/3 | +| prompt-4k | 4999.4 (4986.6-5003.7) n=3 | 155.2 (146.5-162.4) n=3 | 0.84 (0.84-0.84) n=3 | 2.51 (1.98-2.83) n=3 | 4.1 (4.0-4.3) n=3 | 3/3 | +| prompt-16k | 6008.9 (5964.5-6025.3) n=3 | 124.6 (123.9-137.9) n=3 | 2.75 (2.75-2.77) n=3 | 5.98 (4.42-6.28) n=3 | 6.9 (6.3-6.9) n=3 | 2/3 | + +Cells are median (min-max) n=samples. Short is a prompt of about 80 tokens: its prompt rate is dominated by the fixed cost of a request, so it is not shown; read prompt speed from prompt-4k and prompt-16k. Capped = requests that reached the 512-token cap, reasoning and answer together. A capped request's total time is the time to the cap, not to an answer, and it has no first-answer time when it was still reasoning. + +| Phase | Planned | Completed | Truncated | Failed | Skipped | +| --- | ---: | ---: | ---: | ---: | ---: | +| warmup | 1 | 0 | 1 | 0 | 0 | +| performance | 9 | 4 | 5 | 0 | 0 | +| sanity | 12 | 12 | 0 | 0 | 0 | +| concurrency | 12 | 6 | 6 | 0 | 0 | + +Sanity checks: **12 of 12**. + +| Case | Result | Reason | +| --- | --- | --- | +| I1 | pass | the expected JSON value | +| I2 | pass | the expected JSON value | +| I3 | pass | the expected JSON value | +| I4 | pass | the exact expected text | +| R1 | pass | the exact expected text | +| R2 | pass | the exact expected text | +| R3 | pass | the exact expected text | +| R4 | pass | the expected JSON value | +| T1 | pass | the expected tool call | +| T2 | pass | the expected tool call | +| T3 | pass | the expected tool call | +| T4 | pass | the expected tool call | + +Concurrency rounds (four requests released together): + +| Round | Wall s | Output tokens | Aggregate tok/s | Failed | +| ---: | ---: | ---: | ---: | ---: | +| 1 | 6.957969 | 1963 | 282.122556 | 0 | +| 2 | 6.7538 | 2001 | 296.277651 | 0 | +| 3 | 6.591305 | 1829 | 277.48678 | 0 | + +## Failures, exclusions and limitations + +- No request failed. +- Excluded from speed summaries: concurrency-r1-c1: first_answer_s is not available for this request +- Excluded from speed summaries: concurrency-r3-c2: first_answer_s is not available for this request +- Prompt-prefix reuse is the shared template prefix only; the cache was not emptied between requests, and the expert cache stays warm and evolves. These are not cold-model measurements. +- Output caps include reasoning; a request that reaches its cap is `truncated` and fails its sanity check. +- The runner cannot see other programs on the machine, the repeat-stop and loop-recovery switches of the server, or the quantization repository's revision; see `missing` in results.json for every value it could not read. +- The server had answered no request before this run (a freshly loaded engine). diff --git a/bench/results/2026-11-08-standard-4x-rtx-3090-d8cef8bb/config.json b/bench/results/2026-11-08-standard-4x-rtx-3090-d8cef8bb/config.json new file mode 100644 index 00000000000..f672f17f16a --- /dev/null +++ b/bench/results/2026-11-08-standard-4x-rtx-3090-d8cef8bb/config.json @@ -0,0 +1,55 @@ +{ + "engine_options": { + "--pack": "unsloth-ud-iq4_xs", + "--native": "Qwen3.8-Flash-Next-UD-IQ4_XS-00001-of-00003.gguf", + "--expert-profile": "expert-profile.bin", + "--expert-cache": "auto", + "--prefill": "512", + "--spec": "4", + "--spec-min-p": "0.5", + "--mtp": "rt", + "--max-context": "262144", + "--kv": "int8", + "--resident-experts": true, + "--trim-stage-weights": true, + "--ple-io": "ram", + "--aux-cpus": "65-127", + "--conversation-cache-mib": "126976", + "--conversation-cache-slots": "448", + "--kv-resident": "28672", + "--conversation-cache-min-free-mib": "16384", + "--conversation-cache-min-tokens": "1024", + "--vision": true, + "--prompt-cache-every": "8192", + "--prompt-cache": "12", + "--layer-split": "12,25,37", + "--batch": "16" + }, + "other_engine_options": { + "--pack": "unsloth-ud-iq4_xs", + "--native": "Qwen3.8-Flash-Next-UD-IQ4_XS-00001-of-00003.gguf", + "--max-context": "262144", + "--resident-experts": true, + "--trim-stage-weights": true, + "--ple-io": "ram", + "--aux-cpus": "65-127", + "--conversation-cache-mib": "126976", + "--conversation-cache-slots": "448", + "--conversation-cache-min-free-mib": "16384", + "--conversation-cache-min-tokens": "1024", + "--vision": true, + "--prompt-cache-every": "8192", + "--prompt-cache": "12", + "--batch": "16" + }, + "server_defaults": { + "temperature": 1.0, + "top_p": 0.95, + "top_k": 20, + "presence_penalty": 0.0, + "n_predict": -1 + }, + "total_slots": 16, + "context": 262144, + "source": "effective engine arguments of the profile" +} diff --git a/bench/results/2026-11-08-standard-4x-rtx-3090-d8cef8bb/engine.log b/bench/results/2026-11-08-standard-4x-rtx-3090-d8cef8bb/engine.log new file mode 100644 index 00000000000..84fe24c10ff --- /dev/null +++ b/bench/results/2026-11-08-standard-4x-rtx-3090-d8cef8bb/engine.log @@ -0,0 +1,1358 @@ +load_hparams: Qwen-VL models require at minimum 1024 image tokens to function correctly on grounding tasks +load_hparams: if you encounter problems with accuracy, try adding --image-min-tokens 1024 +load_hparams: more info: https://github.com/ggml-org/llama.cpp/issues/16842 + +strata-vision: model files loaded in 1.1 s +strata-vision: on the CPU, 32 threads, no warm-up +[strata] 2026-11-08 17:32:03 engine started: /bin/strata-212p-74702164d1e5e37d --serve --pack /unsloth-ud-iq4_xs --native --expert-profile --expert-cache auto --prefill 512 --spec 4 --spec-min-p 0.5 --mtp /mtp/rt --max-context 262144 --kv int8 --resident-experts --trim-stage-weights --ple-io ram --aux-cpus 65-127 --conversation-cache-mib 126976 --conversation-cache-slots 448 --kv-resident 28672 --conversation-cache-min-free-mib 16384 --conversation-cache-min-tokens 1024 --vision --prompt-cache-every 8192 --prompt-cache 12 --layer-split 12,25,37 --batch 16 +strata: sm_86 (Ampere): 8 exact speed switches on by default (STRATA_SM86_PERF=0 turns them off; a switch you set is kept): ADAPT_NOWAIT ADAPT_LAG CPU_IQ_ALL_EXACT1 SIDE_MIXER GR_UP75 GU_SWIGLU QSA_ROWS B6_MMVQ_ROWS +strata generate: memory guard: limit 224.0 GiB (source: cgroup), current 1.4 GiB, reclaimable cache credited 0.0 GiB; available 222.6 GiB (MemAvailable 239.1 GiB), floor 16384 MiB +strata generate: layer split across 4 GPUs: CUDA0, then CUDA1,2,3 (split 12,25,37) +strata generate: PCIe probe: 13.1 GB/s host->device (best of 13.0 13.1 13.0 13.0) -> pcie_frac 0.36 (default 0.55) +strata generate: CPU expert kernels: AVX-2 +strata generate: native pack: /unsloth-ud-iq4_xs experts (largest blob 3.48 MB), token embedding Q8_0 in mapped host memory (644 MiB, 0.6 s) +strata generate: layer split: CUDA0 loads the dense weights of layers 0-11 only +strata generate: 463 MiB of weights loaded from /unsloth-ud-iq4_xs in 0.1 s (843 canonical tensors skipped: served natively) +strata generate: 76 native projection matrices, 763.67 MiB of weights, in 0.2 s +strata generate: PLE table locked in RAM (--ple-io ram) in 1.6 s +strata generate: STRATA_SOLO_PIPELINE: --pipeline-windows 2 beside --batch 16: a request alone on the solo path decodes its windows pipelined across the 4 stages (the slots, the admissions and the prompt reads as before; the drafter, which all of them share, is sized for 8 rows, carries the forcing kernel and runs at its card's greatest priority - STRATA_MTP_PRIORITY=0: the default one) +strata generate: layer split: CUDA1 loads the dense weights of layers 12-24 only +strata generate: layer split: CUDA1 PCIe probe 13.1 GB/s (best of 13.1 13.1 13.1 13.1) -> pcie_frac 0.36 +strata generate: layer split: CUDA1 holds its weights; 21.93 GiB free (its session follows the split search) +strata generate: layer split: CUDA2 loads the dense weights of layers 25-36 only +strata generate: layer split: CUDA2 PCIe probe 13.5 GB/s (best of 13.5 13.5 13.5 13.5) -> pcie_frac 0.37 +strata generate: layer split: CUDA2 holds its weights; 22.02 GiB free (its session follows the split search) +strata generate: layer split: CUDA3 loads the dense weights of layers 37-47 only +strata generate: layer split: CUDA3 PCIe probe 13.5 GB/s (best of 13.5 13.5 13.5 13.5) -> pcie_frac 0.37 +strata generate: layer split: CUDA3 holds its weights; 22.11 GiB free (its session follows the split search) +strata generate: profile : 24576 ranked pairs, built for 24576 slots +strata generate: KV streaming: 28672 of 262144 cells per QSA layer in VRAM, the K/V in 0.77 GiB of pinned RAM +strata generate: PLE on, table 320001536 rows of +strata generate: layer split: CUDA1 holds its weights, session [12, 25); 21.64 GiB free +strata generate: layer split: CUDA2 holds its weights, session [25, 37); 21.73 GiB free +strata generate: layer split: CUDA3 holds its weights, session [37, 48) and the head; 21.34 GiB free +strata generate: --batch-groups auto: 4 groups of 4 slots +strata generate: --batch: 16 slot sessions on CUDA0 (0.28 GiB each); 16.92 GiB free +strata generate: --batch: 16 slot sessions on CUDA1 (0.28 GiB each); 17.06 GiB free +strata generate: --batch: 16 slot sessions on CUDA2 (0.28 GiB each); 17.19 GiB free +strata generate: --batch: 16 slot sessions on CUDA3 (0.28 GiB each); 16.80 GiB free +strata generate: --batch 16: the slot sessions take 4.46 GiB of VRAM on CUDA0 that the expert cache would otherwise hold +strata generate: --vision with --batch 16: the image position table holds 17 regions of 262208 rows (the main sessions' and one per slot), 51.0 MiB per GPU; image and text requests share the batch +strata mtp: draft layer loaded, 837 MiB of VRAM (experts 675, dense 111), files read in 0.53 s (1496 MiB/s) +strata mtp: shared draft weights, 50 MiB of private state and buffers +strata mtp: shared draft weights, 50 MiB of private state and buffers +strata generate: STRATA_SPEC_LANES=4: lanes on slots 0,4,8,12, their drafters on CUDA3 (50 MiB of private K/V state and buffers each, sharing the solo drafter's weights; lanes 2 and 3's after the caches); 15.83 GiB free there +strata generate: GPU 0: NVIDIA GeForce RTX 3090, compute capability 8.6 +strata generate: experts via mmap (--mmap-experts; the GGUF shards in place, no experts.bin) +strata generate: file tier (Linux defaults, the GGUF read in place): page-cached experts computed from the mapping (STRATA_COLD_OVERLAP=4), io prefetch with whole-blob preads on 8 I/O threads, the decode's read-ahead only while the page cache has room for it and it pays (STRATA_IO_PF_GATE=1); off: STRATA_COLD_OVERLAP=0, STRATA_IO_PREFETCH=0, STRATA_IO_PF_GATE=0 +strata generate: GPU host-callback thread started before host-core pinning +strata generate: CPU pool tasks/phase: 99 (automatic), participating threads: 33 +strata generate: CPU pool: 32 workers by default (64 physical cores, 128 logical processors; bounded by the measured cap) +strata generate: 32 pool workers on logical processors 1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32, the host thread on 0 (draining too) (--host-core first) +strata generate: CPU workers on logical processors 1-32 (32 workers, one per physical core; host on 0) +strata aux cpus: threads that are neither pool workers nor the host go to CPUs 65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127 (on; 18 threads placed so far) +strata generate: --pipeline-windows 2: 216 MiB of CUDA0 kept out of the expert cache (the second verifier, the GDN snapshots) +strata generate: STRATA_SPEC_LANES=4: 320 MiB of every card kept out of its expert cache (the lane verifiers: 2 arenas of their own, the rest share idle verifiers' (STRATA_LC_SHARE)) +strata: prompt MMQ reads resident experts in place (STRATA_MMQ_DIRECT=1): 48 of 48 layers +strata: prompt MMQ sorts the full expert groups (STRATA_MMQ_GROUP_SORT=1): 48 of 48 layers +strata generate: expert cache auto: 16.80 GiB free, 700 MiB reserved (+0 MiB for the draft head, +256 MiB for what is allocated after the cache) -> 4730 slots +strata generate: +256 B guard per sized slot (STRATA_MMQ_DIRECT) +strata generate: expert cache 6144 slots, 14.27 GiB of VRAM; policy is +strata generate: the GPU computes the experts in the cache; it rounds differently from the CPU, + so a reply can differ slightly from a run without the cache (same quality: + bench/results/2026-09-27-cache-parity). + PROFILE, ranked by routing frequency, no eviction. +strata generate: the profile fill asks for 256 pairs ahead (STRATA_FILL_AHEAD) +strata generate: pre-filled 6144 of 6144 slots from the profile in 4.5 s (3406 MB/s); slot 0 verified +strata generate: STRATA_SOLO_PIPELINE: CUDA1 keeps 160 MiB (the second verifier) + 62.3 MiB (its GDN snapshots) out of the expert cache +strata generate: layer split, CUDA1: 16.96 GiB free of 23.56, room for experts 15.40 GiB +strata generate: layer split: CUDA1 runs layers 12-24, expert cache 6656 slots (14.44 GiB), 6656 of its 6656 profiled pairs; slot 0 verified +strata generate: STRATA_SOLO_PIPELINE: CUDA2 keeps 160 MiB (the second verifier) + 56.1 MiB (its GDN snapshots) out of the expert cache +strata generate: layer split, CUDA2: 17.12 GiB free of 23.56, room for experts 15.57 GiB +strata generate: layer split: CUDA2 runs layers 25-36, expert cache 6144 slots (13.72 GiB), 6144 of its 6144 profiled pairs; slot 0 verified +strata generate: STRATA_SOLO_PIPELINE: CUDA3 keeps 160 MiB (the second verifier) out of the expert cache +strata generate: layer split, CUDA3: 15.83 GiB free of 23.56, room for experts 14.34 GiB +strata generate: layer split: CUDA3 runs layers 37-47, expert cache 5632 slots (13.00 GiB), 5632 of its 5632 profiled pairs; slot 0 verified +strata generate: layer split: CUDA0 runs layers 0-11 +strata generate: every expert is in the GPU caches (24576 of 24576): the file tier's Linux defaults (io prefetch, the decode gate) are off, the decode reads nothing from it (STRATA_IO_PREFETCH=1 keeps them) +strata generate: routing-aware prefetch off (every expert is in the GPU caches; STRATA_LOOKAHEAD=1 runs it) +strata generate: R4 hit path ON - resident experts are computed on the GPU +strata generate: 32 expert-pool workers + the host thread +strata generate: session is up (engine 0.1.58) +strata generate: token graph hit path: 24576 resident experts, decided on the device +strata serve: layer split: 100% of the experts resident, the prompt path's streamed ring 96 slots +FileExpertSource: copied cache complement through layer 8/48 (0.00 GiB, 0 s) +FileExpertSource: copied cache complement through layer 16/48 (0.00 GiB, 0 s) +FileExpertSource: copied cache complement through layer 24/48 (0.00 GiB, 0 s) +FileExpertSource: copied cache complement through layer 32/48 (0.00 GiB, 0 s) +FileExpertSource: copied cache complement through layer 40/48 (0.00 GiB, 0 s) +FileExpertSource: copied cache complement through layer 48/48 (0.00 GiB, 0 s) +FileExpertSource: locked resident cache complement ready: resident 0.00 GiB, pinned 0.00 GiB in 0 s +FileExpertSource: 18432 verified additional-GPU experts remain on the mmap fallback +strata generate: resident RAM mode: 0.00 GiB of experts in RAM (pageable), 6144 in the GPU cache; adaptive swaps exchange them with the GPU cache (no file reads) +strata serve: CUDA0 keeps its own prompt buffers (0.75 GiB of 2.52 GiB free): no loan +strata serve: CUDA1 keeps its own prompt buffers (0.75 GiB of 2.51 GiB free): no loan +strata serve: CUDA2 keeps its own prompt buffers (0.75 GiB of 3.39 GiB free): no loan +strata serve: CUDA3 keeps its own prompt buffers (0.75 GiB of 2.83 GiB free): no loan +strata serve: the prompt path allocates its own buffers (too few cache slots to borrow) +prefill: the GGUF experts are 100% in the page cache; the stager takes the RAM profile +prefill: the GGUF experts are 100% in the page cache; the stager takes the RAM profile +prefill: the GGUF experts are 100% in the page cache; the stager takes the RAM profile +prefill: the GGUF experts are 100% in the page cache; the stager takes the RAM profile +strata serve: STRATA_SOLO_PIPELINE: CUDA0: 1626 MiB free, the second verifier ~160 MiB + the GDN snapshots 56.1 MiB +strata serve: STRATA_SOLO_PIPELINE: CUDA1: 1617 MiB free, the second verifier ~160 MiB + the GDN snapshots 62.3 MiB +strata serve: STRATA_SOLO_PIPELINE: CUDA2: 2517 MiB free, the second verifier ~160 MiB + the GDN snapshots 56.1 MiB +strata serve: STRATA_SOLO_PIPELINE: CUDA3: 1939 MiB free, the second verifier ~160 MiB + the GDN snapshots 0.0 MiB +strata hc: CUDA1: the hyper-connection read runs as staged (the norm per token and stream, the down projection's activations staged ahead by cp.async); checked bit for bit against the plain read on this card (STRATA_HC_SPLIT=1 or 0 for the earlier ones) +strata verify: window up to 8 tokens, 100.1 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata hc: CUDA2: the hyper-connection read runs as staged (the norm per token and stream, the down projection's activations staged ahead by cp.async); checked bit for bit against the plain read on this card (STRATA_HC_SPLIT=1 or 0 for the earlier ones) +strata verify: window up to 8 tokens, 100.1 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata hc: CUDA3: the hyper-connection read runs as staged (the norm per token and stream, the down projection's activations staged ahead by cp.async); checked bit for bit against the plain read on this card (STRATA_HC_SPLIT=1 or 0 for the earlier ones) +strata verify: window up to 8 tokens, 100.1 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata serve: layer split: layers 0-11 (CUDA0), 12-24 (CUDA1), 25-36 (CUDA2), 37-47 (CUDA3), one hand-off per window +strata verify: window up to 8 tokens, 100.1 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata verify: window up to 8 tokens, 100.1 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata verify: window up to 8 tokens, 100.1 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata hc: CUDA0: the hyper-connection read runs as staged (the norm per token and stream, the down projection's activations staged ahead by cp.async); checked bit for bit against the plain read on this card (STRATA_HC_SPLIT=1 or 0 for the earlier ones) +strata verify: window up to 8 tokens, 100.1 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata verify: window up to 8 tokens, 100.1 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata mtp: draft head over 106299 tokens (212.9 MiB) +strata verify: batch windows of up to 16 sequences (layers [0, 12)), one-row windows keep their rows +strata verify: batch windows of up to 16 sequences (layers [12, 25)), one-row windows keep their rows +strata verify: batch windows of up to 16 sequences (layers [25, 37)), one-row windows keep their rows +strata verify: batch windows of up to 16 sequences (layers [37, 48)), one-row windows keep their rows +strata verify: STRATA_EARLY_SAMPLE=1: sampled rows without penalties or logit bias are drawn right behind the window +strata serve: STRATA_SOLO_PIPELINE: the second verifiers, hand-offs and GDN snapshots took (verifier + snapshots) CUDA0 104 + 60 MiB (1360 MiB free), CUDA1 102 + 64 MiB (1347 MiB free), CUDA2 102 + 60 MiB (2251 MiB free), CUDA3 102 + 0 MiB (1513 MiB free) +strata serve: --pipeline-windows 2: two verifiers per stage, 4 stages overlap across windows (decode too; the GDN snapshots beside the window) +strata verify: capturing the 1-token window (1360 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 3.0 ms +strata verify: capturing the 2-token window (1354 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 2.8 ms +strata verify: capturing the 3-token window (1348 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 2.6 ms +strata verify: capturing the 4-token window (1342 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 2.7 ms +strata verify: capturing the 5-token window (1336 MiB of VRAM free) +strata verify: captured the 5-token window (upload no error, sync no error) in 3.1 ms +strata verify: capturing the 6-token window (1328 MiB of VRAM free) +strata verify: captured the 6-token window (upload no error, sync no error) in 3.2 ms +strata verify: capturing the 1-token window (1322 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 3.2 ms +strata verify: capturing the 2-token window (1314 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 2.6 ms +strata verify: capturing the 3-token window (1310 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 3.2 ms +strata verify: capturing the 4-token window (1302 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 2.7 ms +strata verify: capturing the 5-token window (1296 MiB of VRAM free) +strata verify: captured the 5-token window (upload no error, sync no error) in 2.9 ms +strata verify: capturing the 6-token window (1290 MiB of VRAM free) +strata verify: captured the 6-token window (upload no error, sync no error) in 3.2 ms +strata verify: capturing the 1-token window (1347 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 2.7 ms +strata verify: capturing the 2-token window (1341 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 3.0 ms +strata verify: capturing the 3-token window (1333 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 2.5 ms +strata verify: capturing the 4-token window (1327 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 2.9 ms +strata verify: capturing the 5-token window (1321 MiB of VRAM free) +strata verify: captured the 5-token window (upload no error, sync no error) in 2.5 ms +strata verify: capturing the 6-token window (1315 MiB of VRAM free) +strata verify: captured the 6-token window (upload no error, sync no error) in 2.6 ms +strata verify: capturing the 1-token window (1309 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 2.9 ms +strata verify: capturing the 2-token window (1301 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 2.6 ms +strata verify: capturing the 3-token window (1295 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 2.9 ms +strata verify: capturing the 4-token window (1287 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 2.5 ms +strata verify: capturing the 5-token window (1281 MiB of VRAM free) +strata verify: captured the 5-token window (upload no error, sync no error) in 3.0 ms +strata verify: capturing the 6-token window (1273 MiB of VRAM free) +strata verify: captured the 6-token window (upload no error, sync no error) in 2.5 ms +strata verify: capturing the 1-token window (2251 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 2.5 ms +strata verify: capturing the 2-token window (2245 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 2.8 ms +strata verify: capturing the 3-token window (2237 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 2.4 ms +strata verify: capturing the 4-token window (2233 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 2.4 ms +strata verify: capturing the 5-token window (2227 MiB of VRAM free) +strata verify: captured the 5-token window (upload no error, sync no error) in 2.8 ms +strata verify: capturing the 6-token window (2219 MiB of VRAM free) +strata verify: captured the 6-token window (upload no error, sync no error) in 2.4 ms +strata verify: capturing the 1-token window (2213 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 2.8 ms +strata verify: capturing the 2-token window (2205 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 2.3 ms +strata verify: capturing the 3-token window (2201 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 2.8 ms +strata verify: capturing the 4-token window (2193 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 2.4 ms +strata verify: capturing the 5-token window (2187 MiB of VRAM free) +strata verify: captured the 5-token window (upload no error, sync no error) in 2.4 ms +strata verify: capturing the 6-token window (2181 MiB of VRAM free) +strata verify: captured the 6-token window (upload no error, sync no error) in 2.8 ms +strata verify: capturing the 1-token window (1513 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 2.4 ms +strata verify: capturing the 2-token window (1507 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 2.7 ms +strata verify: capturing the 3-token window (1499 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 2.2 ms +strata verify: capturing the 4-token window (1495 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 2.3 ms +strata verify: capturing the 5-token window (1489 MiB of VRAM free) +strata verify: captured the 5-token window (upload no error, sync no error) in 2.7 ms +strata verify: capturing the 6-token window (1481 MiB of VRAM free) +strata verify: captured the 6-token window (upload no error, sync no error) in 2.3 ms +strata verify: capturing the 1-token window (1475 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 2.6 ms +strata verify: capturing the 2-token window (1467 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 2.2 ms +strata verify: capturing the 3-token window (1463 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 2.4 ms +strata verify: capturing the 4-token window (1457 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 2.6 ms +strata verify: capturing the 5-token window (1449 MiB of VRAM free) +strata verify: captured the 5-token window (upload no error, sync no error) in 2.3 ms +strata verify: capturing the 6-token window (1443 MiB of VRAM free) +strata verify: captured the 6-token window (upload no error, sync no error) in 2.2 ms +strata serve: STRATA_SOLO_PIPELINE: the pipelined windows' graphs (both verifiers per stage, the drafter's chain), captured at boot, took CUDA0 78 MiB (1282 MiB free), CUDA1 78 MiB (1269 MiB free), CUDA2 78 MiB (2173 MiB free), CUDA3 84 MiB (1429 MiB free) +strata mtp: shared draft weights, 50 MiB of private state and buffers +strata mtp: shared draft weights, 50 MiB of private state and buffers +strata serve: STRATA_SPEC_LANES: CUDA0 1280 MiB free, 4 lanes ~256 MiB; CUDA1 1267 MiB free, 4 lanes ~249 MiB; CUDA2 2171 MiB free, 4 lanes ~256 MiB; CUDA3 1321 MiB free, 4 lanes ~364 MiB; 2 arenas of their own per card, the rest shared with idle verifiers (STRATA_LC_SHARE); the floor after them 768 MiB + 141 MiB still made lazily -> 4 lanes (of 4 asked) +strata verify: window up to 8 tokens, 100.1 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata verify: window up to 8 tokens, 100.1 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata verify: window up to 8 tokens, 100.1 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata verify: window up to 8 tokens, 100.1 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata verify: window up to 8 tokens, 100.1 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata verify: window up to 8 tokens, 100.1 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata verify: window up to 8 tokens, 100.1 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata verify: window up to 8 tokens, 100.1 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata verify: window up to 8 tokens, 100.1 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata verify: window up to 8 tokens, 100.1 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata verify: window up to 8 tokens, 100.1 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata verify: window up to 8 tokens, 100.1 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata verify: window up to 8 tokens, 100.1 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata verify: window up to 8 tokens, 100.1 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata verify: window up to 8 tokens, 100.1 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata verify: window up to 8 tokens, 100.1 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata verify: capturing the 1-token window (1074 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 3.2 ms +strata verify: capturing the 2-token window (1068 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 2.9 ms +strata verify: capturing the 3-token window (1062 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 2.7 ms +strata verify: capturing the 4-token window (1056 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 3.1 ms +strata verify: capturing the 1-token window (1048 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 2.5 ms +strata verify: capturing the 2-token window (1042 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 2.8 ms +strata verify: capturing the 3-token window (1036 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 2.9 ms +strata verify: capturing the 4-token window (1030 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 4.8 ms +strata verify: capturing the 1-token window (1022 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 2.8 ms +strata verify: capturing the 2-token window (1014 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 2.6 ms +strata verify: capturing the 3-token window (1008 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 3.0 ms +strata verify: capturing the 4-token window (1000 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 3.0 ms +strata verify: capturing the 1-token window (994 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 2.4 ms +strata verify: capturing the 2-token window (990 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 4.7 ms +strata verify: capturing the 3-token window (982 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 4.5 ms +strata verify: capturing the 4-token window (976 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 5.1 ms +strata verify: capturing the 1-token window (1059 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 4.7 ms +strata verify: capturing the 2-token window (1053 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 3.8 ms +strata verify: capturing the 3-token window (1047 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 3.0 ms +strata verify: capturing the 4-token window (1039 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 2.7 ms +strata verify: capturing the 1-token window (1033 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 3.1 ms +strata verify: capturing the 2-token window (1025 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 2.7 ms +strata verify: capturing the 3-token window (1019 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 2.7 ms +strata verify: capturing the 4-token window (1013 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 4.7 ms +strata verify: capturing the 1-token window (1003 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 2.5 ms +strata verify: capturing the 2-token window (999 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 2.9 ms +strata verify: capturing the 3-token window (991 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 2.6 ms +strata verify: capturing the 4-token window (985 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 2.9 ms +strata verify: capturing the 1-token window (977 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 2.6 ms +strata verify: capturing the 2-token window (971 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 3.0 ms +strata verify: capturing the 3-token window (963 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 2.6 ms +strata verify: capturing the 4-token window (957 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 2.6 ms +strata verify: capturing the 1-token window (1965 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 2.5 ms +strata verify: capturing the 2-token window (1959 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 2.7 ms +strata verify: capturing the 3-token window (1953 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 2.5 ms +strata verify: capturing the 4-token window (1947 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 2.8 ms +strata verify: capturing the 1-token window (1939 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 2.5 ms +strata verify: capturing the 2-token window (1933 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 2.4 ms +strata verify: capturing the 3-token window (1927 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 2.9 ms +strata verify: capturing the 4-token window (1919 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 2.3 ms +strata verify: capturing the 1-token window (1915 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 2.8 ms +strata verify: capturing the 2-token window (1907 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 4.1 ms +strata verify: capturing the 3-token window (1899 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 2.8 ms +strata verify: capturing the 4-token window (1891 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 2.4 ms +strata verify: capturing the 1-token window (1885 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 2.3 ms +strata verify: capturing the 2-token window (1881 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 2.9 ms +strata verify: capturing the 3-token window (1873 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 2.4 ms +strata verify: capturing the 4-token window (1867 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 2.8 ms +strata verify: capturing the 1-token window (1059 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 2.4 ms +strata verify: capturing the 2-token window (1053 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 2.5 ms +strata verify: capturing the 3-token window (1047 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 2.3 ms +strata verify: capturing the 4-token window (1041 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 2.3 ms +strata verify: capturing the 1-token window (1035 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 2.6 ms +strata verify: capturing the 2-token window (1027 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 2.3 ms +strata verify: capturing the 3-token window (1021 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 2.6 ms +strata verify: capturing the 4-token window (1015 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 2.3 ms +strata verify: capturing the 1-token window (1009 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 2.3 ms +strata verify: capturing the 2-token window (1003 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 2.7 ms +strata verify: capturing the 3-token window (995 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 2.1 ms +strata verify: capturing the 4-token window (991 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 2.7 ms +strata verify: capturing the 1-token window (983 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 2.3 ms +strata verify: capturing the 2-token window (977 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 2.3 ms +strata verify: capturing the 3-token window (971 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 2.6 ms +strata verify: capturing the 4-token window (965 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 2.3 ms +strata serve: STRATA_SPEC_LANES=4: the lanes' window and commit graphs (up to 4 rows) took CUDA0 106 MiB, CUDA1 108 MiB, CUDA2 106 MiB, CUDA3 100 MiB +strata serve: STRATA_SPEC_LANES=4: the lane verifiers, hand-offs, the drafters' graphs and the lanes' window graphs took CUDA0 252 MiB (1028 MiB free), CUDA1 252 MiB (1015 MiB free), CUDA2 252 MiB (1919 MiB free), CUDA3 362 MiB (959 MiB free); lane 0 in the main verifiers' arenas, lane 1 in the second verifiers', the GDN snapshots in lane 2's +strata serve: STRATA_CONV_MMAP: parked K/V segments and checkpoint state of 64 KiB or more are mapped one by one and unmapped when freed (an eviction returns its RAM to the kernel at once) +strata serve: STRATA_GATE_EVICT: the physical-RAM gates evict only what can help and stop after 2 evictions in a row that did not raise the available RAM by half their size; a batch slot's capture evicts to fit the RAM floor +strata serve: conversation tier: on: (warm); files=0 parts=0 disk_bytes=0 written_today=0 budget=1000000000000 budget_left=1000000000000 spills=0 written_bytes=0 restores=0 restores_queue=0 read_bytes=0 misses=0 drops_small=0 drops_budget=0 drops_busy=0 drops_ram=0 drops_cap=0 drops_io=0 kept=0 superseded=0 expired=0 evicted=0 pending=0 pending_bytes=0 foreign=0 verified=0 +strata serve: STRATA_PARK_CAPTURE: a finished request's conversation is captured beside the slots on 4 threads (8 x 16 MiB pinned staging) +strata serve: STRATA_MSG_CKPT_TAIL=8192: a prompt read also checkpoints in front of a last message of up to 8192 tokens (a prefix of 8192 or more) +strata serve: PCIe share: start 0.10 from 32 pool workers (assumed 65 GB/s of expert bytes) and the 13.1 GB/s link (was 0.36) +strata serve: adaptive overlap: off: not on a layer split +strata serve: 1028 MiB of VRAM free with everything loaded +strata serve: CUDA1: 1015 MiB of VRAM free with everything loaded +strata serve: CUDA2: 1919 MiB of VRAM free with everything loaded +strata serve: CUDA3: 959 MiB of VRAM free with everything loaded +strata serve: STRATA_SLOT_PARK: a pipelined slot's conversation is captured when it ends, on 4 threads (8 x 16 MiB pinned staging), and parked when the slot is overwritten +strata prefill: QSA layers: norm + rope in one pass on, attention gate in the attention epilogue off +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: draft layer prompt K/V batched on CUDA3 (E-9 on the layer split, K/V mode 2) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: prompt 75 tokens = 0 reused + 75 read in 489 ms (153.4 tok/s), 128 generated in 883 ms (145.0 tok/s), drafts accepted 69 of 116, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 59529.9 MB of expert reads +strata serve: KV streaming: 99.44% of 27669 block reads hit VRAM, 0.6 MiB read from RAM +strata serve: suffix drafts: 2 windows, 3 of 7 drafts accepted +strata serve: conversation cache: skip parking (202 tokens, below the 1024 minimum; parked=0) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: prompt 77 tokens = 0 reused + 77 read in 127 ms (606.7 tok/s), 356 generated in 2447 ms (145.5 tok/s), drafts accepted 191 of 311, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 99.77% of 142392 block reads hit VRAM, 1.3 MiB read from RAM +strata serve: suffix drafts: 3 windows, 9 of 15 drafts accepted +strata serve: conversation cache: skip parking (432 tokens, below the 1024 minimum; parked=0) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 21 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata serve: prompt 4093 tokens = 0 reused + 4093 read in 821 ms (4986.7 tok/s), 512 generated in 3152 ms (162.4 tok/s), drafts accepted 304 of 450, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 99.76% of 1458855 block reads hit VRAM, 13.9 MiB read from RAM +strata serve: suffix drafts: 6 windows, 19 of 30 drafts accepted +strata serve: conversation cache: parked 4604 tokens in 33.6 ms; parked=1 bytes=308819440 evictions=0 snapshot_bytes=308819440 reused_kv_bytes=0 capture=async capture_ms=46.4 wait_ms=32.5 +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 93 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata serve: prompt 16387 tokens = 0 reused + 16387 read in 2720 ms (6025.2 tok/s), 489 generated in 3546 ms (137.9 tok/s), drafts accepted 265 of 427, 2 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 99.16% of 1440357 block reads hit VRAM, 48.8 MiB read from RAM +strata serve: suffix drafts: 6 windows, 14 of 30 drafts accepted +strata serve: conversation cache: parked 16875 tokens in 89.5 ms; parked=2 bytes=924684160 evictions=0 snapshot_bytes=615864720 reused_kv_bytes=0 capture=async capture_ms=93.8 wait_ms=88.5 +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: prompt 77 tokens = 0 reused + 77 read in 217 ms (355.4 tok/s), 419 generated in 2716 ms (154.3 tok/s), drafts accepted 243 of 400, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 99.80% of 185379 block reads hit VRAM, 1.5 MiB read from RAM +strata serve: suffix drafts: 3 windows, 8 of 13 drafts accepted +strata serve: conversation cache: skip parking (495 tokens, below the 1024 minimum; parked=2) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 21 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata serve: prompt 4093 tokens = 0 reused + 4093 read in 819 ms (4999.7 tok/s), 512 generated in 3495 ms (146.5 tok/s), drafts accepted 272 of 423, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 99.77% of 1474245 block reads hit VRAM, 13.9 MiB read from RAM +strata serve: suffix drafts: 2 windows, 1 of 8 drafts accepted +strata serve: conversation cache: parked 4604 tokens in 36.2 ms; parked=3 bytes=1233503600 evictions=0 snapshot_bytes=308819440 reused_kv_bytes=0 capture=async capture_ms=48.7 wait_ms=35.1 +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 93 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata serve: prompt 16387 tokens = 0 reused + 16387 read in 2727 ms (6008.9 tok/s), 512 generated in 4133 ms (123.9 tok/s), drafts accepted 226 of 369, 2 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 99.16% of 1449600 block reads hit VRAM, 49.2 MiB read from RAM +strata serve: suffix drafts: 3 windows, 6 of 11 drafts accepted +strata serve: conversation cache: parked 16898 tokens in 90.4 ms; parked=4 bytes=1849843824 evictions=0 snapshot_bytes=616340224 reused_kv_bytes=0 capture=async capture_ms=94.3 wait_ms=89.1 +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: prompt 77 tokens = 0 reused + 77 read in 219 ms (352.3 tok/s), 308 generated in 1987 ms (155.0 tok/s), drafts accepted 178 of 281, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 99.73% of 106248 block reads hit VRAM, 1.2 MiB read from RAM +strata serve: conversation cache: skip parking (384 tokens, below the 1024 minimum; parked=4) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 21 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata serve: prompt 4093 tokens = 0 reused + 4093 read in 818 ms (5003.8 tok/s), 512 generated in 3299 ms (155.2 tok/s), drafts accepted 288 of 415, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 99.75% of 1358709 block reads hit VRAM, 13.9 MiB read from RAM +strata serve: suffix drafts: 2 windows, 5 of 6 drafts accepted +strata serve: conversation cache: parked 4604 tokens in 35.6 ms; parked=5 bytes=2158663264 evictions=0 snapshot_bytes=308819440 reused_kv_bytes=0 capture=async capture_ms=48.0 wait_ms=34.5 +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 93 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata serve: prompt 16387 tokens = 0 reused + 16387 read in 2747 ms (5964.5 tok/s), 512 generated in 4110 ms (124.6 tok/s), drafts accepted 231 of 381, 2 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 99.18% of 1503525 block reads hit VRAM, 49.4 MiB read from RAM +strata serve: suffix drafts: 3 windows, 8 of 15 drafts accepted +strata serve: conversation cache: parked 16898 tokens in 89.8 ms; parked=6 bytes=2775003488 evictions=0 snapshot_bytes=616340224 reused_kv_bytes=0 capture=async capture_ms=94.4 wait_ms=88.8 +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: prompt 82 tokens = 0 reused + 82 read in 221 ms (371.5 tok/s), 72 generated in 425 ms (169.3 tok/s), drafts accepted 44 of 68, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 99.10% of 13296 block reads hit VRAM, 0.5 MiB read from RAM +strata serve: suffix drafts: 1 windows, 3 of 5 drafts accepted +strata serve: conversation cache: skip parking (153 tokens, below the 1024 minimum; parked=6) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: prompt 90 tokens = 0 reused + 90 read in 135 ms (665.5 tok/s), 60 generated in 332 ms (180.5 tok/s), drafts accepted 38 of 62, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 98.93% of 10944 block reads hit VRAM, 0.5 MiB read from RAM +strata serve: conversation cache: skip parking (149 tokens, below the 1024 minimum; parked=6) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: prompt 85 tokens = 0 reused + 85 read in 135 ms (631.8 tok/s), 86 generated in 371 ms (231.8 tok/s), drafts accepted 60 of 72, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 98.84% of 11385 block reads hit VRAM, 0.5 MiB read from RAM +strata serve: conversation cache: skip parking (170 tokens, below the 1024 minimum; parked=6) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: prompt 71 tokens = 0 reused + 71 read in 125 ms (568.7 tok/s), 24 generated in 109 ms (219.8 tok/s), drafts accepted 16 of 21, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 96.83% of 2274 block reads hit VRAM, 0.3 MiB read from RAM +strata serve: conversation cache: skip parking (94 tokens, below the 1024 minimum; parked=6) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 21 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata serve: prompt 4089 tokens = 0 reused + 4089 read in 819 ms (4992.4 tok/s), 66 generated in 401 ms (164.4 tok/s), drafts accepted 40 of 56, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 98.56% of 204882 block reads hit VRAM, 11.9 MiB read from RAM +strata serve: conversation cache: parked 4154 tokens in 42.8 ms; parked=7 bytes=3077057264 evictions=0 snapshot_bytes=302053776 reused_kv_bytes=0 capture=async capture_ms=47.3 wait_ms=41.8 +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 21 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata serve: prompt 4089 tokens = 0 reused + 4089 read in 861 ms (4747.1 tok/s), 66 generated in 330 ms (199.8 tok/s), drafts accepted 42 of 55, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 98.12% of 161751 block reads hit VRAM, 12.2 MiB read from RAM +strata serve: conversation cache: parked 4154 tokens in 37.2 ms; parked=8 bytes=3379111040 evictions=0 snapshot_bytes=302053776 reused_kv_bytes=0 capture=async capture_ms=47.2 wait_ms=36.0 +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 93 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata serve: prompt 16382 tokens = 0 reused + 16382 read in 2734 ms (5992.4 tok/s), 51 generated in 282 ms (180.8 tok/s), drafts accepted 32 of 38, 2 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 93.70% of 117081 block reads hit VRAM, 29.7 MiB read from RAM +strata serve: conversation cache: parked 16432 tokens in 77.1 ms; parked=9 bytes=3988210192 evictions=0 snapshot_bytes=609099152 reused_kv_bytes=0 capture=async capture_ms=93.0 wait_ms=75.9 +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 96 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata serve: prompt 16390 tokens = 0 reused + 16390 read in 2858 ms (5733.9 tok/s), 160 generated in 867 ms (184.6 tok/s), drafts accepted 104 of 123, 3 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 97.70% of 394365 block reads hit VRAM, 36.6 MiB read from RAM +strata serve: suffix drafts: 1 windows, 2 of 2 drafts accepted +strata serve: conversation cache: parked 16549 tokens in 102.9 ms; parked=10 bytes=4718537664 evictions=0 snapshot_bytes=730327472 reused_kv_bytes=0 capture=async capture_ms=108.8 wait_ms=101.8 +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: prompt 325 tokens = 0 reused + 325 read in 377 ms (861.2 tok/s), 64 generated in 304 ms (210.6 tok/s), drafts accepted 43 of 56, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 98.89% of 26790 block reads hit VRAM, 1.2 MiB read from RAM +strata serve: conversation cache: skip parking (388 tokens, below the 1024 minimum; parked=10) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: prompt 335 tokens = 0 reused + 335 read in 263 ms (1274.9 tok/s), 63 generated in 290 ms (217.0 tok/s), drafts accepted 43 of 54, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 98.90% of 27522 block reads hit VRAM, 1.2 MiB read from RAM +strata serve: conversation cache: skip parking (397 tokens, below the 1024 minimum; parked=10) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: prompt 352 tokens = 0 reused + 352 read in 264 ms (1334.1 tok/s), 73 generated in 284 ms (257.3 tok/s), drafts accepted 53 of 57, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 98.88% of 28680 block reads hit VRAM, 1.3 MiB read from RAM +strata serve: conversation cache: skip parking (424 tokens, below the 1024 minimum; parked=10) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: prompt 339 tokens = 0 reused + 339 read in 267 ms (1271.4 tok/s), 67 generated in 289 ms (231.8 tok/s), drafts accepted 46 of 57, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 98.76% of 24870 block reads hit VRAM, 1.2 MiB read from RAM +strata serve: conversation cache: skip parking (405 tokens, below the 1024 minimum; parked=10) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: prompt 78 tokens = 0 reused + 78 read in 129 ms (605.9 tok/s), 5 generated in 31 ms (161.6 tok/s), drafts accepted 3 of 3, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 91.70% of 795 block reads hit VRAM, 0.3 MiB read from RAM +strata verify: capturing the 1-token window (982 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 2.7 ms +strata verify: capturing the 1-token window (955 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 2.5 ms +strata verify: capturing the 1-token window (1861 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 2.5 ms +strata verify: capturing the 1-token window (907 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 2.3 ms +strata batch: slot 0 takes 83 tokens (copied in 10.9 ms) +strata serve: prompt 83 tokens = 82 reused + 1 read in 0 ms (2714.6 tok/s), 1 generated in 22 ms (46.2 tok/s), drafts accepted 0 of 0, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 92.31% of 858 block reads hit VRAM, 0.3 MiB read from RAM +strata serve: conversation cache: 83 tokens not parked here: slot 0 parks them with its reply +strata verify: batch decode attention: slots-stream (STRATA_QSA_SLOTS_STREAM=1: slots launches on a streamed KV cache, each row resolved first); STRATA_ATTN_DAILY=0 +strata verify: captured the batch window over slots 0 +strata verify: captured the batch window over slots 0,1,2,3 +strata verify: captured the batch window over slots 4,5,6,7 +strata verify: captured the batch window over slots 8,9,10,11 +strata verify: captured the batch window over slots 12,13,14,15 +strata verify: captured the batch window over slots 0 +strata verify: captured the batch window over slots 0,1,2,3 +strata verify: captured the batch window over slots 4,5,6,7 +strata verify: captured the batch window over slots 8,9,10,11 +strata verify: captured the batch window over slots 12,13,14,15 +strata verify: captured the batch window over slots 0 +strata verify: captured the batch window over slots 0,1,2,3 +strata verify: captured the batch window over slots 4,5,6,7 +strata verify: captured the batch window over slots 8,9,10,11 +strata verify: captured the batch window over slots 12,13,14,15 +strata verify: captured the batch window over slots 0 +strata verify: captured the batch window over slots 0,1,2,3 +strata verify: captured the batch window over slots 4,5,6,7 +strata verify: captured the batch window over slots 8,9,10,11 +strata verify: captured the batch window over slots 12,13,14,15 +strata batch: overlapped read: captured 20 group layouts in 54.5 ms +strata generate: STRATA_PIPE_OVERLAP_KVS=1: first overlapped read with a streamed K/V cache (--kv-resident 28672) prepared; free VRAM before->after: CUDA0 976->950 MiB CUDA1 949->923 MiB CUDA2 1855->1829 MiB CUDA3 899->873 MiB +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata batch: overlapped read of 73 tokens in 121 ms (drain 7.7 ms); the slots decoded 9 rows meanwhile, D_ref 0.0 rows/s, lost n/a of decode; 0 group starts padded up, 0 waited; stage-1 PLE gather 0.025 ms avg over 9 windows, ple hit n/a +strata batch: slot 4 takes 78 tokens (copied in 3.0 ms) +strata serve: prompt 78 tokens = 0 reused + 78 read in 208 ms (375.2 tok/s), 1 generated in 21 ms (47.4 tok/s), drafts accepted 0 of 0, 0 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 79.38% of 291 block reads hit VRAM, 0.2 MiB read from RAM +strata batch: STRATA_SPEC_LANES: lanes ran 21 ms (start 1): slot 0: 1 windows, 1 tokens (47.1 tok/s), drafts 0 of 0 (0.0%); slot 4: 1 windows, 4 tokens (188.3 tok/s), drafts 3 of 3 (100.0%); drafter catch-ups from batch windows 9 + 0 + 0 + 0 (0 + 0 + 0 + 0 found a hole) +strata serve: conversation cache: 78 tokens not parked here: slot 4 parks them with its reply +strata verify: captured the batch window over slots 4 +strata verify: captured the batch window over slots 4 +strata verify: captured the batch window over slots 4 +strata verify: captured the batch window over slots 4 +strata batch: overlapped read: captured 4 group layouts in 10.3 ms +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata batch: overlapped read of 73 tokens in 142 ms (drain 7.6 ms); the slots decoded 20 rows meanwhile, D_ref 0.0 rows/s, lost n/a of decode; 0 group starts padded up, 0 waited; stage-1 PLE gather 0.023 ms avg over 20 windows, ple hit n/a +strata batch: slot 8 takes 78 tokens (copied in 3.1 ms) +strata serve: prompt 78 tokens = 0 reused + 78 read in 167 ms (466.6 tok/s), 1 generated in 21 ms (46.8 tok/s), drafts accepted 0 of 0, 0 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 79.38% of 291 block reads hit VRAM, 0.2 MiB read from RAM +strata batch: STRATA_SPEC_LANES: lanes ran 24 ms (start 2): slot 0: 1 windows, 1 tokens (41.1 tok/s), drafts 0 of 0 (0.0%); slot 4: 1 windows, 1 tokens (41.1 tok/s), drafts 0 of 0 (0.0%); slot 8: 1 windows, 2 tokens (82.1 tok/s), drafts 1 of 3 (33.3%); drafter catch-ups from batch windows 19 + 10 + 0 + 0 (0 + 0 + 0 + 0 found a hole) +strata serve: conversation cache: 78 tokens not parked here: slot 8 parks them with its reply +strata verify: captured the batch window over slots 8 +strata verify: captured the batch window over slots 8 +strata verify: captured the batch window over slots 8 +strata verify: captured the batch window over slots 8 +strata batch: overlapped read: captured 4 group layouts in 11.1 ms +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata batch: overlapped read of 73 tokens in 165 ms (drain 11.4 ms); the slots decoded 33 rows meanwhile, D_ref 0.0 rows/s, lost n/a of decode; 0 group starts padded up, 0 waited; stage-1 PLE gather 0.022 ms avg over 33 windows, ple hit n/a +strata batch: slot 12 takes 78 tokens (copied in 3.1 ms) +strata serve: prompt 78 tokens = 0 reused + 78 read in 204 ms (381.5 tok/s), 1 generated in 20 ms (49.6 tok/s), drafts accepted 0 of 0, 0 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 79.38% of 291 block reads hit VRAM, 0.2 MiB read from RAM +strata batch: STRATA_SPEC_LANES: lanes ran 4769 ms (start 3): slot 0: 196 windows, 323 tokens (67.7 tok/s), drafts 127 of 216 (58.8%); slot 4: 173 windows, 405 tokens (84.9 tok/s), drafts 232 of 360 (64.4%); slot 8: 194 windows, 498 tokens (104.4 tok/s), drafts 306 of 438 (69.9%); slot 12: 188 windows, 506 tokens (106.1 tok/s), drafts 318 of 459 (69.3%); drafter catch-ups from batch windows 30 + 21 + 11 + 0 (0 + 0 + 0 + 0 found a hole) +strata serve: conversation cache: skip parking (78 tokens, below the 1024 minimum; parked=10) +strata batch: slot 0 gave back 438 tokens of this conversation (all it holds, and 1 checkpoint of its own) in 64.4 ms +strata serve: prompt 439 tokens = 438 reused + 1 read in 65 ms (15.4 tok/s), 151 generated in 1214 ms (124.4 tok/s), drafts accepted 64 of 101, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 99.59% of 108249 block reads hit VRAM, 1.8 MiB read from RAM +strata serve: conversation cache: skip parking (589 tokens, below the 1024 minimum; parked=10) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: prompt 78 tokens = 0 reused + 78 read in 126 ms (619.5 tok/s), 5 generated in 31 ms (163.9 tok/s), drafts accepted 3 of 3, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 90.50% of 663 block reads hit VRAM, 0.3 MiB read from RAM +strata serve: conversation cache: slot 0 not parked before its overwrite (its 438 tokens have no per-slot draft K/V without --batch-mtp) +strata batch: slot 0 takes 83 tokens (copied in 10.6 ms) +strata serve: prompt 83 tokens = 82 reused + 1 read in 0 ms (2674.9 tok/s), 1 generated in 12 ms (83.6 tok/s), drafts accepted 0 of 0, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 91.32% of 726 block reads hit VRAM, 0.3 MiB read from RAM +strata serve: conversation cache: 83 tokens not parked here: slot 0 parks them with its reply +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata batch: overlapped read of 73 tokens in 118 ms (drain 10.3 ms); the slots decoded 9 rows meanwhile, D_ref 0.0 rows/s, lost n/a of decode; 0 group starts padded up, 0 waited; stage-1 PLE gather 0.024 ms avg over 9 windows, ple hit n/a +strata serve: conversation cache: slot 4 not parked before its overwrite (its 509 tokens have no per-slot draft K/V without --batch-mtp) +strata batch: slot 4 takes 78 tokens (copied in 3.1 ms) +strata serve: prompt 78 tokens = 0 reused + 78 read in 153 ms (510.3 tok/s), 1 generated in 20 ms (49.9 tok/s), drafts accepted 0 of 0, 0 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 79.38% of 291 block reads hit VRAM, 0.2 MiB read from RAM +strata batch: STRATA_SPEC_LANES: lanes ran 0 ms (start 4): ; drafter catch-ups from batch windows 39 + 21 + 11 + 0 (0 + 0 + 0 + 0 found a hole) +strata serve: conversation cache: 78 tokens not parked here: slot 4 parks them with its reply +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata batch: overlapped read of 73 tokens in 142 ms (drain 4.6 ms); the slots decoded 20 rows meanwhile, D_ref 0.0 rows/s, lost n/a of decode; 0 group starts padded up, 0 waited; stage-1 PLE gather 0.022 ms avg over 20 windows, ple hit n/a +strata serve: conversation cache: slot 8 not parked before its overwrite (its 589 tokens have no per-slot draft K/V without --batch-mtp) +strata batch: slot 8 takes 78 tokens (copied in 3.1 ms) +strata serve: prompt 78 tokens = 0 reused + 78 read in 154 ms (507.3 tok/s), 1 generated in 20 ms (48.9 tok/s), drafts accepted 0 of 0, 0 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 79.38% of 291 block reads hit VRAM, 0.2 MiB read from RAM +strata serve: conversation cache: 78 tokens not parked here: slot 8 parks them with its reply +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata batch: overlapped read of 73 tokens in 165 ms (drain 10.4 ms); the slots decoded 32 rows meanwhile, D_ref 0.0 rows/s, lost n/a of decode; 0 group starts padded up, 0 waited; stage-1 PLE gather 0.022 ms avg over 32 windows, ple hit n/a +strata serve: conversation cache: slot 12 not parked before its overwrite (its 584 tokens have no per-slot draft K/V without --batch-mtp) +strata batch: slot 12 takes 78 tokens (copied in 3.6 ms) +strata serve: prompt 78 tokens = 0 reused + 78 read in 182 ms (428.2 tok/s), 1 generated in 21 ms (47.0 tok/s), drafts accepted 0 of 0, 0 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 79.38% of 291 block reads hit VRAM, 0.2 MiB read from RAM +strata batch: STRATA_SPEC_LANES: lanes ran 5469 ms (start 5): slot 0: 178 windows, 463 tokens (84.7 tok/s), drafts 287 of 436 (65.8%); slot 4: 233 windows, 417 tokens (76.2 tok/s), drafts 185 of 347 (53.3%); slot 8: 231 windows, 500 tokens (91.4 tok/s), drafts 271 of 424 (63.9%); slot 12: 207 windows, 478 tokens (87.4 tok/s), drafts 271 of 433 (62.6%); drafter catch-ups from batch windows 59 + 42 + 22 + 0 (0 + 0 + 0 + 0 found a hole) +strata serve: conversation cache: skip parking (78 tokens, below the 1024 minimum; parked=10) +strata batch: slot 4 gave back 516 tokens of this conversation (all it holds, and 1 checkpoint of its own) in 57.0 ms +strata serve: prompt 517 tokens = 516 reused + 1 read in 58 ms (17.4 tok/s), 73 generated in 466 ms (156.5 tok/s), drafts accepted 44 of 73, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 99.31% of 64317 block reads hit VRAM, 1.8 MiB read from RAM +strata serve: conversation cache: skip parking (589 tokens, below the 1024 minimum; parked=10) diff --git a/bench/results/2026-11-08-standard-4x-rtx-3090-d8cef8bb/outputs.jsonl b/bench/results/2026-11-08-standard-4x-rtx-3090-d8cef8bb/outputs.jsonl new file mode 100644 index 00000000000..b643d7a6fca --- /dev/null +++ b/bench/results/2026-11-08-standard-4x-rtx-3090-d8cef8bb/outputs.jsonl @@ -0,0 +1,34 @@ +{"request_id": "warmup", "phase": "warmup", "case_id": "warmup", "request": {"stream": true, "stream_options": {"include_usage": true}, "max_tokens": 128, "seed": 1, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}}, "messages": [{"role": "user", "content": "[case warmup]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table finds a value by using a hash function to convert the key into an index.\n\n1. Compute a hash from the key:", "reasoning": "We need to respond to user: \"[case warmup]\nExplain how a hash table finds a value, including collisions and one small example.\"\n\nWe need to produce final answer. Need likely concise explanation. Include case warmup? Maybe they expect answer only. We can provide explanation. Need maybe handle \"case warmup\" perhaps means warm-up case? Just explain. 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To find a value, it uses the key to compute a location:\n\n1. Hash the key to get a number.\n2. Use that number to find a bucket/index.\n3. Check that bucket for a matching key.\n4. If the key matches, return its value.\n\nA **collision** happens when two different keys hash to the same index. Hash tables handle this with techniques like:\n\n- **Separate chaining:** each bucket holds a list of entries.\n- **Open addressing:** if the slot is taken, probe nearby slots.\n\nSmall example, with chaining:\n\n```text\nindex 0:\nindex 1: (\"apple\", 5) -> (\"orange\", 8)\nindex 2:\n```\n\nFind `\"orange\"`:\n\n- `hash(\"orange\")` maps to index 1.\n- Look at index 1.\n- Check `\"apple\"`: no match.\n- Check `\"orange\"`: match.\n- Return `8`.", "reasoning": "We need answer user: \"Explain how a hash table finds a value, including collisions and one small example. We need provide final answer. User likely wants concise explanation. Need include hash table finds value: key -> hash function -> index -> bucket; if exact key found return value; collisions same index: separate chaining or open addressing; example. Need maybe \"case performance-short-r1\" perhaps some benchmark? Keep short? The case name says performance-short-r1 maybe expected short answer. But desired oververbosity 9? Hmm user asks explain including collisions and example. Keep reasonably concise. Could provide bullets and example. No need elaborate too much. 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theta.\nrecord000050: alpha beta gamma delta epsilon zeta eta theta.\nrecord000051: alpha beta gamma delta epsilon zeta eta theta.\nrecord000052: alpha beta gamma delta epsilon zeta eta theta.\nrecord000053: alpha beta gamma delta epsilon zeta eta theta.\nrecord000054: alpha beta gamma delta epsilon zeta eta theta.\nrecord000055: alpha beta gamma delta epsilon zeta eta theta.\nrecord000056: alpha beta gamma delta epsilon zeta eta theta.\nrecord000057: alpha beta gamma delta epsilon zeta eta theta.\nrecord000058: alpha beta gamma delta epsilon zeta eta theta.\nrecord000059: alpha beta gamma delta epsilon zeta eta theta.\nrecord000060: alpha beta gamma delta epsilon zeta eta theta.\nrecord000061: alpha beta gamma delta epsilon zeta eta theta.\nrecord000062: alpha beta gamma delta epsilon zeta eta theta.\nrecord000063: alpha beta gamma delta epsilon zeta eta theta.\nrecord000064: alpha beta gamma delta epsilon zeta eta theta.\nrecord000065: alpha beta gamma delta epsilon zeta eta theta.\nrecord000066: alpha beta gamma delta epsilon zeta eta theta.\nrecord000067: alpha beta gamma delta epsilon zeta eta theta.\nrecord000068: alpha beta gamma delta epsilon zeta eta theta.\nrecord000069: alpha beta gamma delta epsilon zeta eta theta.\nrecord000070: alpha beta gamma delta epsilon zeta eta theta.\nrecord000071: alpha beta gamma delta epsilon zeta eta theta.\nrecord000072: alpha beta gamma delta epsilon zeta eta theta.\nrecord000073: alpha beta gamma delta epsilon zeta eta theta.\nrecord000074: alpha beta gamma delta epsilon zeta eta theta.\nrecord000075: alpha beta gamma delta epsilon zeta eta theta.\nrecord000076: alpha beta gamma delta epsilon zeta eta theta.\nrecord000077: alpha beta gamma delta epsilon zeta eta theta.\nrecord000078: alpha beta gamma delta epsilon zeta eta theta.\nrecord000079: alpha beta gamma delta epsilon zeta eta theta.\nrecord000080: alpha beta gamma delta epsilon zeta eta theta.\nrecord000081: alpha beta gamma delta epsilon zeta eta theta.\nrecord000082: alpha beta gamma delta epsilon zeta eta theta.\nrecord000083: alpha beta gamma delta epsilon zeta eta theta.\nrecord000084: alpha beta gamma delta epsilon zeta eta theta.\nrecord000085: alpha beta gamma delta epsilon zeta eta theta.\nrecord000086: alpha beta gamma delta epsilon zeta eta theta.\nrecord000087: alpha beta gamma delta epsilon zeta eta theta.\nrecord000088: alpha beta gamma delta epsilon zeta eta theta.\nrecord000089: alpha beta gamma delta epsilon zeta eta theta.\nrecord000090: alpha beta gamma delta epsilon zeta eta theta.\nrecord000091: alpha beta gamma delta epsilon zeta eta theta.\nrecord000092: alpha beta gamma delta epsilon zeta eta theta.\nrecord000093: alpha beta gamma delta epsilon zeta eta theta.\nrecord000094: alpha beta gamma delta epsilon zeta eta theta.\nrecord000095: alpha beta gamma delta epsilon zeta eta theta.\nrecord000096: alpha beta gamma delta epsilon zeta eta theta.\nrecord000097: alpha beta gamma delta epsilon zeta eta 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theta.\nrecord000114: alpha beta gamma delta epsilon zeta eta theta.\nrecord000115: alpha beta gamma delta epsilon zeta eta theta.\nrecord000116: alpha beta gamma delta epsilon zeta eta theta.\nrecord000117: alpha beta gamma delta epsilon zeta eta theta.\nrecord000118: alpha beta gamma delta epsilon zeta eta theta.\nrecord000119: alpha beta gamma delta epsilon zeta eta theta.\nrecord000120: alpha beta gamma delta epsilon zeta eta theta.\nrecord000121: alpha beta gamma delta epsilon zeta eta theta.\nrecord000122: alpha beta gamma delta epsilon zeta eta theta.\nrecord000123: alpha beta gamma delta epsilon zeta eta theta.\nrecord000124: alpha beta gamma delta epsilon zeta eta theta.\nrecord000125: alpha beta gamma delta epsilon zeta eta theta.\nrecord000126: alpha beta gamma delta epsilon zeta eta theta.\nrecord000127: alpha beta gamma delta epsilon zeta eta theta.\nrecord000128: alpha beta gamma delta epsilon zeta eta theta.\nrecord000129: alpha beta gamma delta epsilon zeta eta theta.\nrecord000130: alpha beta gamma delta epsilon zeta eta theta.\nrecord000131: alpha beta gamma delta epsilon zeta eta theta.\nrecord000132: alpha beta gamma delta epsilon zeta eta theta.\nrecord000133: alpha beta gamma delta epsilon zeta eta theta.\nrecord000134: alpha beta gamma delta epsilon zeta eta theta.\nrecord000135: alpha beta gamma delta epsilon zeta eta theta.\nrecord000136: alpha beta gamma delta epsilon zeta eta theta.\nrecord000137: alpha beta gamma delta epsilon zeta eta theta.\nrecord000138: alpha beta gamma delta epsilon zeta eta theta.\nrecord000139: alpha beta gamma delta epsilon zeta eta theta.\nrecord000140: alpha beta gamma delta epsilon zeta eta theta.\nrecord000141: alpha beta gamma delta epsilon zeta eta theta.\nrecord000142: alpha beta gamma delta epsilon zeta eta theta.\nrecord000143: alpha beta gamma delta epsilon zeta eta theta.\nrecord000144: alpha beta gamma delta epsilon zeta eta theta.\nrecord000145: alpha beta gamma delta epsilon zeta eta 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theta.\nrecord000162: alpha beta gamma delta epsilon zeta eta theta.\nrecord000163: alpha beta gamma delta epsilon zeta eta theta.\nrecord000164: alpha beta gamma delta epsilon zeta eta theta.\nrecord000165: alpha beta gamma delta epsilon zeta eta theta.\nrecord000166: alpha beta gamma delta epsilon zeta eta theta.\nrecord000167: alpha beta gamma delta epsilon zeta eta theta.\nrecord000168: alpha beta gamma delta epsilon zeta eta theta.\nrecord000169: alpha beta gamma delta epsilon zeta eta theta.\nrecord000170: alpha beta gamma delta epsilon zeta eta theta.\nrecord000171: alpha beta gamma delta epsilon zeta eta theta.\nrecord000172: alpha beta gamma delta epsilon zeta eta theta.\nrecord000173: alpha beta gamma delta epsilon zeta eta theta.\nrecord000174: alpha beta gamma delta epsilon zeta eta theta.\nrecord000175: alpha beta gamma delta epsilon zeta eta theta.\nrecord000176: alpha beta gamma delta epsilon zeta eta theta.\nrecord000177: alpha beta gamma delta epsilon zeta eta theta.\nrecord000178: alpha beta gamma delta epsilon zeta eta theta.\nrecord000179: alpha beta gamma delta epsilon zeta eta theta.\nrecord000180: alpha beta gamma delta epsilon zeta eta theta.\nrecord000181: alpha beta gamma delta epsilon zeta eta theta.\nrecord000182: alpha beta gamma delta epsilon zeta eta theta.\nrecord000183: alpha beta gamma delta epsilon zeta eta theta.\nrecord000184: alpha beta gamma delta epsilon zeta eta theta.\nrecord000185: alpha beta gamma delta epsilon zeta eta theta.\nrecord000186: alpha beta gamma delta epsilon zeta eta theta.\nrecord000187: alpha beta gamma delta epsilon zeta eta theta.\nrecord000188: alpha beta gamma delta epsilon zeta eta theta.\nrecord000189: alpha beta gamma delta epsilon zeta eta theta.\nrecord000190: alpha beta gamma delta epsilon zeta eta theta.\nrecord000191: alpha beta gamma delta epsilon zeta eta theta.\nrecord000192: alpha beta gamma delta epsilon zeta eta theta.\nrecord000193: alpha beta gamma delta epsilon zeta eta theta.\nrecord000194: alpha beta gamma delta epsilon zeta eta theta.\nrecord000195: alpha beta gamma delta epsilon zeta eta theta.\nrecord000196: alpha beta gamma delta epsilon zeta eta theta.\nrecord000197: alpha beta gamma delta epsilon zeta eta theta.\nrecord000198: alpha beta gamma delta epsilon zeta eta theta.\nrecord000199: alpha beta gamma delta epsilon zeta eta theta.\nrecord000200: alpha beta gamma delta epsilon zeta eta theta.\nrecord000201: alpha beta gamma delta epsilon zeta eta theta.\nrecord000202: alpha beta gamma delta epsilon zeta eta theta.\nrecord000203: alpha beta gamma delta epsilon zeta eta theta.\nrecord000204: alpha beta gamma delta epsilon zeta eta theta.\nrecord000205: alpha beta gamma delta epsilon zeta eta theta.\nrecord000206: alpha beta gamma delta epsilon zeta eta theta.\nrecord000207: alpha beta gamma delta epsilon zeta eta theta.\nrecord000208: alpha beta gamma delta epsilon zeta eta theta.\nrecord000209: alpha beta gamma delta epsilon zeta eta theta.\nrecord000210: alpha beta gamma delta epsilon zeta eta theta.\nrecord000211: alpha beta gamma delta epsilon zeta eta theta.\nSummarize the structure of these records and explain how to look up a record by its ID."}], "tools": null, "final_answer": "Each record has a simple, uniform structure:\n\n```text\nrecord000001: alpha beta gamma delta epsilon zeta eta theta.\n```\n\nStructure:\n\n```text\nrecordID: fieldName1 fieldName2 fieldName3 fieldName4 fieldName5 fieldName6 fieldName7 fieldName8.\n```\n\nMore specifically:\n\n```text\nrecordNNNNNN: alpha beta gamma delta epsilon zeta eta theta.\n```\n\n- `recordNNNNNN` is the record ID.\n- The ID uses the prefix `record` followed by a six-digit, zero-padded number:\n - `record000001`\n - `record000010`\n - `record000155`\n- The colon separates the record ID from the record contents.\n- The contents are always the same eight words:\n - `alpha`\n - `beta`\n - `gamma`\n - `delta`\n - `epsilon`\n - `zeta`\n - `eta`\n - `theta`\n- Each record ends with a period.\n- The dataset contains 211 records, from `record000001` through `record000211`.\n\nExample record:\n\n```text\nrecord000155: alpha beta gamma delta epsilon zeta eta theta.\n```\n\nTo look up a record by its ID, search for the exact ID prefix at the beginning of the line, followed by a colon.\n\nFor example, to find record `record000155`, look for:\n\n```text\nrecord000155:\n```\n\nThe matching line would be:\n\n```text\nrecord000", "reasoning": "We need answer user's request. User provided many records, identical pattern, asks: \"Summarize the structure of these records and explain how to look up a record by its ID.\" Need final answer concise but detailed. Need likely mention each line has record ID format recordNNNNNN: followed by eight fields alpha...theta. IDs zero-padded six digits sequential. To look up by ID: exact match on prefix or parse before colon, e.g. record000155 returns that line; could use grep/awk. Need maybe note all records same payload, 211 records. Need perhaps include examples command. Ensure final only answer.\n", "tool_calls": [], "finish_reason": "length", "usage": {"prompt_tokens": 4093, "completion_tokens": 512, "total_tokens": 4605, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 4093, "prompt_ms": 820.8, "prompt_per_token_ms": 0.201, "prompt_per_second": 4986.6, "predicted_n": 512, "predicted_ms": 3152.0, "predicted_per_token_ms": 6.156, "predicted_per_second": 162.4, "draft_n": 450, "draft_n_accepted": 304}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 3.981208, "first_delta": {"offset_s": 0.839996, "kind": "reasoning"}, "first_answer_offset_s": 1.975568, "client_events": [[0.839996, "reasoning"], [0.860159, "reasoning"], [0.860179, "reasoning"], [0.86022, "reasoning"], [0.860266, "reasoning"], [0.867531, "reasoning"], [0.867585, "reasoning"], [0.867595, "reasoning"], [0.879784, "reasoning"], [0.884629, "reasoning"], [0.896795, "reasoning"], [0.896822, "reasoning"], [0.914733, "reasoning"], 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theta.\nrecord000770: alpha beta gamma delta epsilon zeta eta theta.\nrecord000771: alpha beta gamma delta epsilon zeta eta theta.\nrecord000772: alpha beta gamma delta epsilon zeta eta theta.\nrecord000773: alpha beta gamma delta epsilon zeta eta theta.\nrecord000774: alpha beta gamma delta epsilon zeta eta theta.\nrecord000775: alpha beta gamma delta epsilon zeta eta theta.\nrecord000776: alpha beta gamma delta epsilon zeta eta theta.\nrecord000777: alpha beta gamma delta epsilon zeta eta theta.\nrecord000778: alpha beta gamma delta epsilon zeta eta theta.\nrecord000779: alpha beta gamma delta epsilon zeta eta theta.\nrecord000780: alpha beta gamma delta epsilon zeta eta theta.\nrecord000781: alpha beta gamma delta epsilon zeta eta theta.\nrecord000782: alpha beta gamma delta epsilon zeta eta theta.\nrecord000783: alpha beta gamma delta epsilon zeta eta theta.\nrecord000784: alpha beta gamma delta epsilon zeta eta theta.\nrecord000785: alpha beta gamma delta epsilon zeta eta theta.\nrecord000786: alpha beta gamma delta epsilon zeta eta theta.\nrecord000787: alpha beta gamma delta epsilon zeta eta theta.\nrecord000788: alpha beta gamma delta epsilon zeta eta theta.\nrecord000789: alpha beta gamma delta epsilon zeta eta theta.\nrecord000790: alpha beta gamma delta epsilon zeta eta theta.\nrecord000791: alpha beta gamma delta epsilon zeta eta theta.\nrecord000792: alpha beta gamma delta epsilon zeta eta theta.\nrecord000793: alpha beta gamma delta epsilon zeta eta theta.\nrecord000794: alpha beta gamma delta epsilon zeta eta theta.\nrecord000795: alpha beta gamma delta epsilon zeta eta theta.\nrecord000796: alpha beta gamma delta epsilon zeta eta theta.\nrecord000797: alpha beta gamma delta epsilon zeta eta theta.\nrecord000798: alpha beta gamma delta epsilon zeta eta theta.\nrecord000799: alpha beta gamma delta epsilon zeta eta theta.\nrecord000800: alpha beta gamma delta epsilon zeta eta theta.\nrecord000801: alpha beta gamma delta epsilon zeta eta theta.\nrecord000802: alpha beta gamma delta epsilon zeta eta theta.\nrecord000803: alpha beta gamma delta epsilon zeta eta theta.\nrecord000804: alpha beta gamma delta epsilon zeta eta theta.\nrecord000805: alpha beta gamma delta epsilon zeta eta theta.\nrecord000806: alpha beta gamma delta epsilon zeta eta theta.\nrecord000807: alpha beta gamma delta epsilon zeta eta theta.\nrecord000808: alpha beta gamma delta epsilon zeta eta theta.\nrecord000809: alpha beta gamma delta epsilon zeta eta theta.\nrecord000810: alpha beta gamma delta epsilon zeta eta theta.\nrecord000811: alpha beta gamma delta epsilon zeta eta theta.\nrecord000812: alpha beta gamma delta epsilon zeta eta theta.\nrecord000813: alpha beta gamma delta epsilon zeta eta theta.\nrecord000814: alpha beta gamma delta epsilon zeta eta theta.\nrecord000815: alpha beta gamma delta epsilon zeta eta theta.\nrecord000816: alpha beta gamma delta epsilon zeta eta theta.\nrecord000817: alpha beta gamma delta epsilon zeta eta theta.\nrecord000818: alpha beta gamma delta epsilon zeta eta theta.\nrecord000819: alpha beta gamma delta epsilon zeta eta theta.\nrecord000820: alpha beta gamma delta epsilon zeta eta theta.\nrecord000821: alpha beta gamma delta epsilon zeta eta theta.\nrecord000822: alpha beta gamma delta epsilon zeta eta theta.\nrecord000823: alpha beta gamma delta epsilon zeta eta theta.\nrecord000824: alpha beta gamma delta epsilon zeta eta theta.\nrecord000825: alpha beta gamma delta epsilon zeta eta theta.\nrecord000826: alpha beta gamma delta epsilon zeta eta theta.\nrecord000827: alpha beta gamma delta epsilon zeta eta theta.\nrecord000828: alpha beta gamma delta epsilon zeta eta theta.\nrecord000829: alpha beta gamma delta epsilon zeta eta theta.\nrecord000830: alpha beta gamma delta epsilon zeta eta theta.\nrecord000831: alpha beta gamma delta epsilon zeta eta theta.\nrecord000832: alpha beta gamma delta epsilon zeta eta theta.\nrecord000833: alpha beta gamma delta epsilon zeta eta theta.\nrecord000834: alpha beta gamma delta epsilon zeta eta theta.\nrecord000835: alpha beta gamma delta epsilon zeta eta theta.\nrecord000836: alpha beta gamma delta epsilon zeta eta theta.\nrecord000837: alpha beta gamma delta epsilon zeta eta theta.\nrecord000838: alpha beta gamma delta epsilon zeta eta theta.\nrecord000839: alpha beta gamma delta epsilon zeta eta theta.\nrecord000840: alpha beta gamma delta epsilon zeta eta theta.\nrecord000841: alpha beta gamma delta epsilon zeta eta theta.\nrecord000842: alpha beta gamma delta epsilon zeta eta theta.\nrecord000843: alpha beta gamma delta epsilon zeta eta theta.\nrecord000844: alpha beta gamma delta epsilon zeta eta theta.\nrecord000845: alpha beta gamma delta epsilon zeta eta theta.\nrecord000846: alpha beta gamma delta epsilon zeta eta theta.\nrecord000847: alpha beta gamma delta epsilon zeta eta theta.\nrecord000848: alpha beta gamma delta epsilon zeta eta theta.\nrecord000849: alpha beta gamma delta epsilon zeta eta theta.\nrecord000850: alpha beta gamma delta epsilon zeta eta theta.\nrecord000851: alpha beta gamma delta epsilon zeta eta theta.\nrecord000852: alpha beta gamma delta epsilon zeta eta theta.\nrecord000853: alpha beta gamma delta epsilon zeta eta theta.\nrecord000854: alpha beta gamma delta epsilon zeta eta theta.\nrecord000855: alpha beta gamma delta epsilon zeta eta theta.\nrecord000856: alpha beta gamma delta epsilon zeta eta theta.\nrecord000857: alpha beta gamma delta epsilon zeta eta theta.\nrecord000858: alpha beta gamma delta epsilon zeta eta theta.\nSummarize the structure of these records and explain how to look up a record by its ID."}], "tools": null, "final_answer": "Each record has the same simple structure:\n\n```text\nrecordNNNNNN: alpha beta gamma delta epsilon zeta eta theta.\n```\n\n- **ID**: `recordNNNNNN`, where `NNNNNN` is a 6-digit zero-padded number.\n- **Separator**: `:` and a space.\n- **Payload/content**: the fixed text `alpha beta gamma delta epsilon zeta eta theta.`\n- **Sequence**: IDs run consecutively from `record000001` upward; the visible sample goes through `record000858`.\n- **Data value**: every ID shown maps to the same payload.\n\nTo look up a record by ID, find the line whose ID matches exactly. For example, for `record000042`:\n\n```text\nrecord000042: alpha beta gamma delta epsilon zeta eta theta.\n```\n\nIf stored in an ordered list or array with the first record at index 0, the record number can be converted to an index as:\n\n```text\nindex = numeric_ID - 1\n```\n\nSo:\n\n```text\nrecord000001 -> index 0\nrecord000042 -> index 41\nrecord000858 -> index 857\n```", "reasoning": "We need answer user. User provided a huge list of records 1-858, each same text: recordXXXXXX: alpha beta gamma delta epsilon zeta eta theta. Then asks: Summarize the structure of these records and explain how to look up a record by its ID.\n\nWe need final answer concise but thorough. Need mention structure: each record is a line, ID label record followed by 6 digits zero-padded, colon, then payload fixed sequence of eight Greek letters. IDs sequential from 000001 to 000858 (at least in sample). Lookup by ID: parse line matching exact recordID: prefix or index in list/array, e.g. construct key record000042 and retrieve corresponding line. Could mention if stored in array index ID-1. Need maybe mention if ID outside range not present. Since data repeated, content doesn't vary by ID.\n\nNeed ensure not too much. Could provide examples.\n", "tool_calls": [], "finish_reason": "stop", "usage": {"prompt_tokens": 16387, "completion_tokens": 489, "total_tokens": 16876, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 16387, "prompt_ms": 2719.7, "prompt_per_token_ms": 0.166, "prompt_per_second": 6025.3, "predicted_n": 489, "predicted_ms": 3545.6, "predicted_per_token_ms": 7.251, "predicted_per_second": 137.9, "draft_n": 427, "draft_n_accepted": 265}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 6.285592, "first_delta": {"offset_s": 2.747555, "kind": "reasoning"}, "first_answer_offset_s": 4.417773, "client_events": [[2.747555, "reasoning"], [2.767806, "reasoning"], [2.767849, "reasoning"], [2.767882, "reasoning"], [2.767918, "reasoning"], [2.783484, "reasoning"], [2.783509, "reasoning"], [2.796192, "reasoning"], [2.809538, "reasoning"], [2.819158, "reasoning"], [2.819183, "reasoning"], [2.8192, "reasoning"], [2.81924, "reasoning"], 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performance-short-r2]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table finds a value by using the key to compute an index, then looking in that “bucket” for the stored key/value pair.\n\n1. **Hash the key**: \n A hash function converts the key into a number.\n\n2. **Compute an index**: \n That number is mapped to a table index, often using modulo: \n `index = hash(key) % table_size`\n\n3. **Look up the bucket**: \n The table goes to that index and checks for the key.\n\n4. **Handle collisions**: \n A collision happens when two different keys hash to the same index. Common ways to handle collisions:\n - **Chaining**: each bucket stores a list of key/value pairs.\n - **Open addressing/probing**: if the slot is taken, search nearby slots.\n\n**Small example:**\n\nHash table size: 5 \nHash function: `hash(key) = key % 5`\n\nInsert:\n\n- `\"apple\" -> 10` \n hash(\"apple\") = 3 \n Store at index 3.\n\n- `\"banana\" -> 20` \n hash(\"banana\") = 3 \n Collision with \"apple\". If using chaining, index 3 now stores: \n `[(\"apple\", 10), (\"banana\", 20)]`\n\nTo find `\"banana\"`:\n\n1. Hash `\"banana\"` → 3.\n2. Go to index 3.\n3. Scan the list and find `\"banana\" -> 20`.\n\nSo a hash table finds values quickly by jumping directly to likely slots, then checking for collisions.", "reasoning": "We need answer user's request: \"Explain how a hash table finds a value, including collisions and one small example.\" Need produce final answer. Simple educational. Need likely concise but thorough. Cover hash function, bucket/index, key/value, search by hashing key, collisions, chaining/probing, rehash? small example. 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theta.\nrecord000206: alpha beta gamma delta epsilon zeta eta theta.\nrecord000207: alpha beta gamma delta epsilon zeta eta theta.\nrecord000208: alpha beta gamma delta epsilon zeta eta theta.\nrecord000209: alpha beta gamma delta epsilon zeta eta theta.\nrecord000210: alpha beta gamma delta epsilon zeta eta theta.\nrecord000211: alpha beta gamma delta epsilon zeta eta theta.\nSummarize the structure of these records and explain how to look up a record by its ID."}], "tools": null, "final_answer": "These records have a simple line-oriented structure:\n\n```text\nrecordID: field1 field2 field3 field4 field5 field6 field7 field8\n```\n\nExample:\n\n```text\nrecord000100: alpha beta gamma delta epsilon zeta eta theta\n```\n\n### Structure summary\n\nEach record consists of:\n\n1. **Record ID**\n - Format: `record` followed by a zero-padded numeric ID\n - Examples:\n - `record000001`\n - `record000100`\n - `record000211`\n\n2. **Separator**\n - A colon followed by a space: `: `\n\n3. **Record content**\n - A fixed sequence of eight word fields:\n - `alpha`\n - `beta`\n - `gamma`\n - `delta`\n - `epsilon`\n - `zeta`\n - `eta`\n - `theta`\n\nSo every record in the sample has the same payload:\n\n```text\nalpha beta gamma delta epsilon zeta eta theta\n```\n\n### How to look up a record by ID\n\nTo look up a record by its ID, treat the ID as the key and the text after", "reasoning": "We need answer user's request. User provided a long prompt with many records and asks: \"Summarize the structure of these records and explain how to look up a record by its ID.\" Need answer concise but detailed. Need maybe mention each line record followed by colon then fixed sequence Greek letters. IDs record000001 to record000211. Structure: zero-padded six-digit numeric ID, label, colon space, 8 tokens alpha...theta. Need lookup: parse ID string or pattern, exact match to record line, use map/index. Since all records identical payload, lookup by ID retrieves same content. Could explain steps: strip whitespace, split at first colon, key = left part, value = right part. Build dictionary: {record000001: 'alpha beta ... theta', ...}. To lookup record000175 returns value. Need maybe caution about padding and exact case. Need maybe mention if using line-based input. Final answer in English. Ensure not too verbose? desired 9, but user simple. 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{"stream": true, "stream_options": {"include_usage": true}, "max_tokens": 512, "seed": 2, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}}, "messages": [{"role": "user", "content": "[case performance-prompt-16k-r2]\nrecord000001: alpha beta gamma delta epsilon zeta eta theta.\nrecord000002: alpha beta gamma delta epsilon zeta eta theta.\nrecord000003: alpha beta gamma delta epsilon zeta eta theta.\nrecord000004: alpha beta gamma delta epsilon zeta eta theta.\nrecord000005: alpha beta gamma delta epsilon zeta eta theta.\nrecord000006: alpha beta gamma delta epsilon zeta eta theta.\nrecord000007: alpha beta gamma delta epsilon zeta eta theta.\nrecord000008: alpha beta gamma delta epsilon zeta eta theta.\nrecord000009: alpha beta gamma delta epsilon zeta eta theta.\nrecord000010: alpha beta 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theta.\nrecord000491: alpha beta gamma delta epsilon zeta eta theta.\nrecord000492: alpha beta gamma delta epsilon zeta eta theta.\nrecord000493: alpha beta gamma delta epsilon zeta eta theta.\nrecord000494: alpha beta gamma delta epsilon zeta eta theta.\nrecord000495: alpha beta gamma delta epsilon zeta eta theta.\nrecord000496: alpha beta gamma delta epsilon zeta eta theta.\nrecord000497: alpha beta gamma delta epsilon zeta eta theta.\nrecord000498: alpha beta gamma delta epsilon zeta eta theta.\nrecord000499: alpha beta gamma delta epsilon zeta eta theta.\nrecord000500: alpha beta gamma delta epsilon zeta eta theta.\nrecord000501: alpha beta gamma delta epsilon zeta eta theta.\nrecord000502: alpha beta gamma delta epsilon zeta eta theta.\nrecord000503: alpha beta gamma delta epsilon zeta eta theta.\nrecord000504: alpha beta gamma delta epsilon zeta eta theta.\nrecord000505: alpha beta gamma delta epsilon zeta eta theta.\nrecord000506: alpha beta gamma delta epsilon zeta eta theta.\nrecord000507: alpha beta gamma delta epsilon zeta eta theta.\nrecord000508: alpha beta gamma delta epsilon zeta eta theta.\nrecord000509: alpha beta gamma delta epsilon zeta eta theta.\nrecord000510: alpha beta gamma delta epsilon zeta eta theta.\nrecord000511: alpha beta gamma delta epsilon zeta eta theta.\nrecord000512: alpha beta gamma delta epsilon zeta eta theta.\nrecord000513: alpha beta gamma delta epsilon zeta eta theta.\nrecord000514: alpha beta gamma delta epsilon zeta eta theta.\nrecord000515: alpha beta gamma delta epsilon zeta eta theta.\nrecord000516: alpha beta gamma delta epsilon zeta eta theta.\nrecord000517: alpha beta gamma delta epsilon zeta eta theta.\nrecord000518: alpha beta gamma delta epsilon zeta eta theta.\nrecord000519: alpha beta gamma delta epsilon zeta eta theta.\nrecord000520: alpha beta gamma delta epsilon zeta eta theta.\nrecord000521: alpha beta gamma delta epsilon zeta eta theta.\nrecord000522: alpha beta gamma delta epsilon zeta eta theta.\nrecord000523: alpha beta gamma delta epsilon zeta eta theta.\nrecord000524: alpha beta gamma delta epsilon zeta eta theta.\nrecord000525: alpha beta gamma delta epsilon zeta eta theta.\nrecord000526: alpha beta gamma delta epsilon zeta eta theta.\nrecord000527: alpha beta gamma delta epsilon zeta eta theta.\nrecord000528: alpha beta gamma delta epsilon zeta eta theta.\nrecord000529: alpha beta gamma delta epsilon zeta eta theta.\nrecord000530: alpha beta gamma delta epsilon zeta eta theta.\nrecord000531: alpha beta gamma delta epsilon zeta eta theta.\nrecord000532: alpha beta gamma delta epsilon zeta eta theta.\nrecord000533: alpha beta gamma delta epsilon zeta eta theta.\nrecord000534: alpha beta gamma delta epsilon zeta eta theta.\nrecord000535: alpha beta gamma delta epsilon zeta eta theta.\nrecord000536: alpha beta gamma delta epsilon zeta eta theta.\nrecord000537: alpha beta gamma delta epsilon zeta eta theta.\nrecord000538: alpha beta gamma delta epsilon zeta eta theta.\nrecord000539: alpha beta gamma delta epsilon zeta eta theta.\nrecord000540: alpha beta gamma delta epsilon zeta eta theta.\nrecord000541: alpha beta gamma delta epsilon zeta eta theta.\nrecord000542: alpha beta gamma delta epsilon zeta eta theta.\nrecord000543: alpha beta gamma delta epsilon zeta eta theta.\nrecord000544: alpha beta gamma delta epsilon zeta eta theta.\nrecord000545: alpha beta gamma delta epsilon zeta eta theta.\nrecord000546: alpha beta gamma delta epsilon zeta eta theta.\nrecord000547: alpha beta gamma delta epsilon zeta eta theta.\nrecord000548: alpha beta gamma delta epsilon zeta eta theta.\nrecord000549: alpha beta gamma delta epsilon zeta eta theta.\nrecord000550: alpha beta gamma delta epsilon zeta eta theta.\nrecord000551: alpha beta gamma delta epsilon zeta eta theta.\nrecord000552: alpha beta gamma delta epsilon zeta eta theta.\nrecord000553: alpha beta gamma delta epsilon zeta eta theta.\nrecord000554: alpha beta gamma delta epsilon zeta eta theta.\nrecord000555: alpha beta gamma delta epsilon zeta eta theta.\nrecord000556: alpha beta gamma delta epsilon zeta eta theta.\nrecord000557: alpha beta gamma delta epsilon zeta eta theta.\nrecord000558: alpha beta gamma delta epsilon zeta eta theta.\nrecord000559: alpha beta gamma delta epsilon zeta eta theta.\nrecord000560: alpha beta gamma delta epsilon zeta eta theta.\nrecord000561: alpha beta gamma delta epsilon zeta eta theta.\nrecord000562: alpha beta gamma delta epsilon zeta eta theta.\nrecord000563: alpha beta gamma delta epsilon zeta eta theta.\nrecord000564: alpha beta gamma delta epsilon zeta eta theta.\nrecord000565: alpha beta gamma delta epsilon zeta eta theta.\nrecord000566: alpha beta gamma delta epsilon zeta eta theta.\nrecord000567: alpha beta gamma delta epsilon zeta eta theta.\nrecord000568: alpha beta gamma delta epsilon zeta eta theta.\nrecord000569: alpha beta gamma delta epsilon zeta eta theta.\nrecord000570: alpha beta gamma delta epsilon zeta eta theta.\nrecord000571: alpha beta gamma delta epsilon zeta eta theta.\nrecord000572: alpha beta gamma delta epsilon zeta eta theta.\nrecord000573: alpha beta gamma delta epsilon zeta eta theta.\nrecord000574: alpha beta gamma delta epsilon zeta eta theta.\nrecord000575: alpha beta gamma delta epsilon zeta eta theta.\nrecord000576: alpha beta gamma delta epsilon zeta eta theta.\nrecord000577: alpha beta gamma delta epsilon zeta eta theta.\nrecord000578: alpha beta gamma delta epsilon zeta eta theta.\nrecord000579: alpha beta gamma delta epsilon zeta eta theta.\nrecord000580: alpha beta gamma delta epsilon zeta eta theta.\nrecord000581: alpha beta gamma delta epsilon zeta eta theta.\nrecord000582: alpha beta gamma delta epsilon zeta eta theta.\nrecord000583: alpha beta gamma delta epsilon zeta eta theta.\nrecord000584: alpha beta gamma delta epsilon zeta eta theta.\nrecord000585: alpha beta gamma delta epsilon zeta eta theta.\nrecord000586: alpha beta gamma delta epsilon zeta eta theta.\nrecord000587: alpha beta gamma delta epsilon zeta eta theta.\nrecord000588: alpha beta gamma delta epsilon zeta eta theta.\nrecord000589: alpha beta gamma delta epsilon zeta eta theta.\nrecord000590: alpha beta gamma delta epsilon zeta eta theta.\nrecord000591: alpha beta gamma delta epsilon zeta eta theta.\nrecord000592: alpha beta gamma delta epsilon zeta eta theta.\nrecord000593: alpha beta gamma delta epsilon zeta eta theta.\nrecord000594: alpha beta gamma delta epsilon zeta eta theta.\nrecord000595: alpha beta gamma delta epsilon zeta eta theta.\nrecord000596: alpha beta gamma delta epsilon zeta eta theta.\nrecord000597: alpha beta gamma delta epsilon zeta eta theta.\nrecord000598: alpha beta gamma delta epsilon zeta eta theta.\nrecord000599: alpha beta gamma delta epsilon zeta eta theta.\nrecord000600: alpha beta gamma delta epsilon zeta eta theta.\nrecord000601: alpha beta gamma delta epsilon zeta eta theta.\nrecord000602: alpha beta gamma delta epsilon zeta eta theta.\nrecord000603: alpha beta gamma delta epsilon zeta eta theta.\nrecord000604: alpha beta gamma delta epsilon zeta eta theta.\nrecord000605: alpha beta gamma delta epsilon zeta eta theta.\nrecord000606: alpha beta gamma delta epsilon zeta eta theta.\nrecord000607: alpha beta gamma delta epsilon zeta eta theta.\nrecord000608: alpha beta gamma delta epsilon zeta eta theta.\nrecord000609: alpha beta gamma delta epsilon zeta eta theta.\nrecord000610: alpha beta gamma delta epsilon zeta eta theta.\nrecord000611: alpha beta gamma delta epsilon zeta eta theta.\nrecord000612: alpha beta gamma delta epsilon zeta eta theta.\nrecord000613: alpha beta gamma delta epsilon zeta eta theta.\nrecord000614: alpha beta gamma delta epsilon zeta eta theta.\nrecord000615: alpha beta gamma delta epsilon zeta eta theta.\nrecord000616: alpha beta gamma delta epsilon zeta eta theta.\nrecord000617: alpha beta gamma delta epsilon zeta eta theta.\nrecord000618: alpha beta gamma delta epsilon zeta eta theta.\nrecord000619: alpha beta gamma delta epsilon zeta eta theta.\nrecord000620: alpha beta gamma delta epsilon zeta eta theta.\nrecord000621: alpha beta gamma delta epsilon zeta eta theta.\nrecord000622: alpha beta gamma delta epsilon zeta eta theta.\nrecord000623: alpha beta gamma delta epsilon zeta eta theta.\nrecord000624: alpha beta gamma delta epsilon zeta eta theta.\nrecord000625: alpha beta gamma delta epsilon zeta eta theta.\nrecord000626: alpha beta gamma delta epsilon zeta eta theta.\nrecord000627: alpha beta gamma delta epsilon zeta eta theta.\nrecord000628: alpha beta gamma delta epsilon zeta eta theta.\nrecord000629: alpha beta gamma delta epsilon zeta eta theta.\nrecord000630: alpha beta gamma delta epsilon zeta eta theta.\nrecord000631: alpha beta gamma delta epsilon zeta eta theta.\nrecord000632: alpha beta gamma delta epsilon zeta eta theta.\nrecord000633: alpha beta gamma delta epsilon zeta eta theta.\nrecord000634: alpha beta gamma delta epsilon zeta eta theta.\nrecord000635: alpha beta gamma delta epsilon zeta eta theta.\nrecord000636: alpha beta gamma delta epsilon zeta eta theta.\nrecord000637: alpha beta gamma delta epsilon zeta eta theta.\nrecord000638: alpha beta gamma delta epsilon zeta eta theta.\nrecord000639: alpha beta gamma delta epsilon zeta eta theta.\nrecord000640: alpha beta gamma delta epsilon zeta eta theta.\nrecord000641: alpha beta gamma delta epsilon zeta eta theta.\nrecord000642: alpha beta gamma delta epsilon zeta eta theta.\nrecord000643: alpha beta gamma delta epsilon zeta eta theta.\nrecord000644: alpha beta gamma delta epsilon zeta eta theta.\nrecord000645: alpha beta gamma delta epsilon zeta eta theta.\nrecord000646: alpha beta gamma delta epsilon zeta eta theta.\nrecord000647: alpha beta gamma delta epsilon zeta eta theta.\nrecord000648: alpha beta gamma delta epsilon zeta eta theta.\nrecord000649: alpha beta gamma delta epsilon zeta eta theta.\nrecord000650: alpha beta gamma delta epsilon zeta eta theta.\nrecord000651: alpha beta gamma delta epsilon zeta eta theta.\nrecord000652: alpha beta gamma delta epsilon zeta eta theta.\nrecord000653: alpha beta gamma delta epsilon zeta eta theta.\nrecord000654: alpha beta gamma delta epsilon zeta eta theta.\nrecord000655: alpha beta gamma delta epsilon zeta eta theta.\nrecord000656: alpha beta gamma delta epsilon zeta eta theta.\nrecord000657: alpha beta gamma delta epsilon zeta eta theta.\nrecord000658: alpha beta gamma delta epsilon zeta eta theta.\nrecord000659: alpha beta gamma delta epsilon zeta eta theta.\nrecord000660: alpha beta gamma delta epsilon zeta eta theta.\nrecord000661: alpha beta gamma delta epsilon zeta eta theta.\nrecord000662: alpha beta gamma delta epsilon zeta eta theta.\nrecord000663: alpha beta gamma delta epsilon zeta eta theta.\nrecord000664: alpha beta gamma delta epsilon zeta eta theta.\nrecord000665: alpha beta gamma delta epsilon zeta eta theta.\nrecord000666: alpha beta gamma delta epsilon zeta eta theta.\nrecord000667: alpha beta gamma delta epsilon zeta eta theta.\nrecord000668: alpha beta gamma delta epsilon zeta eta theta.\nrecord000669: alpha beta gamma delta epsilon zeta eta theta.\nrecord000670: alpha beta gamma delta epsilon zeta eta theta.\nrecord000671: alpha beta gamma delta epsilon zeta eta theta.\nrecord000672: alpha beta gamma delta epsilon zeta eta theta.\nrecord000673: alpha beta gamma delta epsilon zeta eta theta.\nrecord000674: alpha beta gamma delta epsilon zeta eta theta.\nrecord000675: alpha beta gamma delta epsilon zeta eta theta.\nrecord000676: alpha beta gamma delta epsilon zeta eta theta.\nrecord000677: alpha beta gamma delta epsilon zeta eta theta.\nrecord000678: alpha beta gamma delta epsilon zeta eta theta.\nrecord000679: alpha beta gamma delta epsilon zeta eta theta.\nrecord000680: alpha beta gamma delta epsilon zeta eta theta.\nrecord000681: alpha beta gamma delta epsilon zeta eta theta.\nrecord000682: alpha beta gamma delta epsilon zeta eta theta.\nrecord000683: alpha beta gamma delta epsilon zeta eta theta.\nrecord000684: alpha beta gamma delta epsilon zeta eta theta.\nrecord000685: alpha beta gamma delta epsilon zeta eta theta.\nrecord000686: alpha beta gamma delta epsilon zeta eta theta.\nrecord000687: alpha beta gamma delta epsilon zeta eta theta.\nrecord000688: alpha beta gamma delta epsilon zeta eta theta.\nrecord000689: alpha beta gamma delta epsilon zeta eta theta.\nrecord000690: alpha beta gamma delta epsilon zeta eta theta.\nrecord000691: alpha beta gamma delta epsilon zeta eta theta.\nrecord000692: alpha beta gamma delta epsilon zeta eta theta.\nrecord000693: alpha beta gamma delta epsilon zeta eta theta.\nrecord000694: alpha beta gamma delta epsilon zeta eta theta.\nrecord000695: alpha beta gamma delta epsilon zeta eta theta.\nrecord000696: alpha beta gamma delta epsilon zeta eta theta.\nrecord000697: alpha beta gamma delta epsilon zeta eta theta.\nrecord000698: alpha beta gamma delta epsilon zeta eta theta.\nrecord000699: alpha beta gamma delta epsilon zeta eta theta.\nrecord000700: alpha beta gamma delta epsilon zeta eta theta.\nrecord000701: alpha beta gamma delta epsilon zeta eta theta.\nrecord000702: alpha beta gamma delta epsilon zeta eta theta.\nrecord000703: alpha beta gamma delta epsilon zeta eta theta.\nrecord000704: alpha beta gamma delta epsilon zeta eta theta.\nrecord000705: alpha beta gamma delta epsilon zeta eta theta.\nrecord000706: alpha beta gamma delta epsilon zeta eta theta.\nrecord000707: alpha beta gamma delta epsilon zeta eta theta.\nrecord000708: alpha beta gamma delta epsilon zeta eta theta.\nrecord000709: alpha beta gamma delta epsilon zeta eta theta.\nrecord000710: alpha beta gamma delta epsilon zeta eta theta.\nrecord000711: alpha beta gamma delta epsilon zeta eta theta.\nrecord000712: alpha beta gamma delta epsilon zeta eta theta.\nrecord000713: alpha beta gamma delta epsilon zeta eta theta.\nrecord000714: alpha beta gamma delta epsilon zeta eta theta.\nrecord000715: alpha beta gamma delta epsilon zeta eta theta.\nrecord000716: alpha beta gamma delta epsilon zeta eta theta.\nrecord000717: alpha beta gamma delta epsilon zeta eta theta.\nrecord000718: alpha beta gamma delta epsilon zeta eta theta.\nrecord000719: alpha beta gamma delta epsilon zeta eta theta.\nrecord000720: alpha beta gamma delta epsilon zeta eta theta.\nrecord000721: alpha beta gamma delta epsilon zeta eta theta.\nrecord000722: alpha beta gamma delta epsilon zeta eta theta.\nrecord000723: alpha beta gamma delta epsilon zeta eta theta.\nrecord000724: alpha beta gamma delta epsilon zeta eta theta.\nrecord000725: alpha beta gamma delta epsilon zeta eta theta.\nrecord000726: alpha beta gamma delta epsilon zeta eta theta.\nrecord000727: alpha beta gamma delta epsilon zeta eta theta.\nrecord000728: alpha beta gamma delta epsilon zeta eta theta.\nrecord000729: alpha beta gamma delta epsilon zeta eta theta.\nrecord000730: alpha beta gamma delta epsilon zeta eta theta.\nrecord000731: alpha beta gamma delta epsilon zeta eta theta.\nrecord000732: alpha beta gamma delta epsilon zeta eta theta.\nrecord000733: alpha beta gamma delta epsilon zeta eta theta.\nrecord000734: alpha beta gamma delta epsilon zeta eta theta.\nrecord000735: alpha beta gamma delta epsilon zeta eta theta.\nrecord000736: alpha beta gamma delta epsilon zeta eta theta.\nrecord000737: alpha beta gamma delta epsilon zeta eta theta.\nrecord000738: alpha beta gamma delta epsilon zeta eta theta.\nrecord000739: alpha beta gamma delta epsilon zeta eta theta.\nrecord000740: alpha beta gamma delta epsilon zeta eta theta.\nrecord000741: alpha beta gamma delta epsilon zeta eta theta.\nrecord000742: alpha beta gamma delta epsilon zeta eta theta.\nrecord000743: alpha beta gamma delta epsilon zeta eta theta.\nrecord000744: alpha beta gamma delta epsilon zeta eta theta.\nrecord000745: alpha beta gamma delta epsilon zeta eta theta.\nrecord000746: alpha beta gamma delta epsilon zeta eta theta.\nrecord000747: alpha beta gamma delta epsilon zeta eta theta.\nrecord000748: alpha beta gamma delta epsilon zeta eta theta.\nrecord000749: alpha beta gamma delta epsilon zeta eta theta.\nrecord000750: alpha beta gamma delta epsilon zeta eta theta.\nrecord000751: alpha beta gamma delta epsilon zeta eta theta.\nrecord000752: alpha beta gamma delta epsilon zeta eta theta.\nrecord000753: alpha beta gamma delta epsilon zeta eta theta.\nrecord000754: alpha beta gamma delta epsilon zeta eta theta.\nrecord000755: alpha beta gamma delta epsilon zeta eta theta.\nrecord000756: alpha beta gamma delta epsilon zeta eta theta.\nrecord000757: alpha beta gamma delta epsilon zeta eta theta.\nrecord000758: alpha beta gamma delta epsilon zeta eta theta.\nrecord000759: alpha beta gamma delta epsilon zeta eta theta.\nrecord000760: alpha beta gamma delta epsilon zeta eta theta.\nrecord000761: alpha beta gamma delta epsilon zeta eta theta.\nrecord000762: alpha beta gamma delta epsilon zeta eta theta.\nrecord000763: alpha beta gamma delta epsilon zeta eta theta.\nrecord000764: alpha beta gamma delta epsilon zeta eta theta.\nrecord000765: alpha beta gamma delta epsilon zeta eta theta.\nrecord000766: alpha beta gamma delta epsilon zeta eta theta.\nrecord000767: alpha beta gamma delta epsilon zeta eta theta.\nrecord000768: alpha beta gamma delta epsilon zeta eta theta.\nrecord000769: alpha beta gamma delta epsilon zeta eta theta.\nrecord000770: alpha beta gamma delta epsilon zeta eta theta.\nrecord000771: alpha beta gamma delta epsilon zeta eta theta.\nrecord000772: alpha beta gamma delta epsilon zeta eta theta.\nrecord000773: alpha beta gamma delta epsilon zeta eta theta.\nrecord000774: alpha beta gamma delta epsilon zeta eta theta.\nrecord000775: alpha beta gamma delta epsilon zeta eta theta.\nrecord000776: alpha beta gamma delta epsilon zeta eta theta.\nrecord000777: alpha beta gamma delta epsilon zeta eta theta.\nrecord000778: alpha beta gamma delta epsilon zeta eta theta.\nrecord000779: alpha beta gamma delta epsilon zeta eta theta.\nrecord000780: alpha beta gamma delta epsilon zeta eta theta.\nrecord000781: alpha beta gamma delta epsilon zeta eta theta.\nrecord000782: alpha beta gamma delta epsilon zeta eta theta.\nrecord000783: alpha beta gamma delta epsilon zeta eta theta.\nrecord000784: alpha beta gamma delta epsilon zeta eta theta.\nrecord000785: alpha beta gamma delta epsilon zeta eta theta.\nrecord000786: alpha beta gamma delta epsilon zeta eta theta.\nrecord000787: alpha beta gamma delta epsilon zeta eta theta.\nrecord000788: alpha beta gamma delta epsilon zeta eta theta.\nrecord000789: alpha beta gamma delta epsilon zeta eta theta.\nrecord000790: alpha beta gamma delta epsilon zeta eta theta.\nrecord000791: alpha beta gamma delta epsilon zeta eta theta.\nrecord000792: alpha beta gamma delta epsilon zeta eta theta.\nrecord000793: alpha beta gamma delta epsilon zeta eta theta.\nrecord000794: alpha beta gamma delta epsilon zeta eta theta.\nrecord000795: alpha beta gamma delta epsilon zeta eta theta.\nrecord000796: alpha beta gamma delta epsilon zeta eta theta.\nrecord000797: alpha beta gamma delta epsilon zeta eta theta.\nrecord000798: alpha beta gamma delta epsilon zeta eta theta.\nrecord000799: alpha beta gamma delta epsilon zeta eta theta.\nrecord000800: alpha beta gamma delta epsilon zeta eta theta.\nrecord000801: alpha beta gamma delta epsilon zeta eta theta.\nrecord000802: alpha beta gamma delta epsilon zeta eta theta.\nrecord000803: alpha beta gamma delta epsilon zeta eta theta.\nrecord000804: alpha beta gamma delta epsilon zeta eta theta.\nrecord000805: alpha beta gamma delta epsilon zeta eta theta.\nrecord000806: alpha beta gamma delta epsilon zeta eta theta.\nrecord000807: alpha beta gamma delta epsilon zeta eta theta.\nrecord000808: alpha beta gamma delta epsilon zeta eta theta.\nrecord000809: alpha beta gamma delta epsilon zeta eta theta.\nrecord000810: alpha beta gamma delta epsilon zeta eta theta.\nrecord000811: alpha beta gamma delta epsilon zeta eta theta.\nrecord000812: alpha beta gamma delta epsilon zeta eta theta.\nrecord000813: alpha beta gamma delta epsilon zeta eta theta.\nrecord000814: alpha beta gamma delta epsilon zeta eta theta.\nrecord000815: alpha beta gamma delta epsilon zeta eta theta.\nrecord000816: alpha beta gamma delta epsilon zeta eta theta.\nrecord000817: alpha beta gamma delta epsilon zeta eta theta.\nrecord000818: alpha beta gamma delta epsilon zeta eta theta.\nrecord000819: alpha beta gamma delta epsilon zeta eta theta.\nrecord000820: alpha beta gamma delta epsilon zeta eta theta.\nrecord000821: alpha beta gamma delta epsilon zeta eta theta.\nrecord000822: alpha beta gamma delta epsilon zeta eta theta.\nrecord000823: alpha beta gamma delta epsilon zeta eta theta.\nrecord000824: alpha beta gamma delta epsilon zeta eta theta.\nrecord000825: alpha beta gamma delta epsilon zeta eta theta.\nrecord000826: alpha beta gamma delta epsilon zeta eta theta.\nrecord000827: alpha beta gamma delta epsilon zeta eta theta.\nrecord000828: alpha beta gamma delta epsilon zeta eta theta.\nrecord000829: alpha beta gamma delta epsilon zeta eta theta.\nrecord000830: alpha beta gamma delta epsilon zeta eta theta.\nrecord000831: alpha beta gamma delta epsilon zeta eta theta.\nrecord000832: alpha beta gamma delta epsilon zeta eta theta.\nrecord000833: alpha beta gamma delta epsilon zeta eta theta.\nrecord000834: alpha beta gamma delta epsilon zeta eta theta.\nrecord000835: alpha beta gamma delta epsilon zeta eta theta.\nrecord000836: alpha beta gamma delta epsilon zeta eta theta.\nrecord000837: alpha beta gamma delta epsilon zeta eta theta.\nrecord000838: alpha beta gamma delta epsilon zeta eta theta.\nrecord000839: alpha beta gamma delta epsilon zeta eta theta.\nrecord000840: alpha beta gamma delta epsilon zeta eta theta.\nrecord000841: alpha beta gamma delta epsilon zeta eta theta.\nrecord000842: alpha beta gamma delta epsilon zeta eta theta.\nrecord000843: alpha beta gamma delta epsilon zeta eta theta.\nrecord000844: alpha beta gamma delta epsilon zeta eta theta.\nrecord000845: alpha beta gamma delta epsilon zeta eta theta.\nrecord000846: alpha beta gamma delta epsilon zeta eta theta.\nrecord000847: alpha beta gamma delta epsilon zeta eta theta.\nrecord000848: alpha beta gamma delta epsilon zeta eta theta.\nrecord000849: alpha beta gamma delta epsilon zeta eta theta.\nrecord000850: alpha beta gamma delta epsilon zeta eta theta.\nrecord000851: alpha beta gamma delta epsilon zeta eta theta.\nrecord000852: alpha beta gamma delta epsilon zeta eta theta.\nrecord000853: alpha beta gamma delta epsilon zeta eta theta.\nrecord000854: alpha beta gamma delta epsilon zeta eta theta.\nrecord000855: alpha beta gamma delta epsilon zeta eta theta.\nrecord000856: alpha beta gamma delta epsilon zeta eta theta.\nrecord000857: alpha beta gamma delta epsilon zeta eta theta.\nrecord000858: alpha beta gamma delta epsilon zeta eta theta.\nSummarize the structure of these records and explain how to look up a record by its ID."}], "tools": null, "final_answer": "Each record has the same simple structure:\n\n```text\nrecord000001: alpha beta gamma delta epsilon zeta eta theta\n```\n\n- **Record ID**: `record` followed by a zero-padded 6-digit number, e.g. `record000001`.\n- **Separator**: `: `\n- **Payload**: the fixed text \n `alpha beta gamma delta epsilon zeta eta theta`\n\nThe IDs appear sequential from:\n\n```text\nrecord000001\n...\nrecord000858\n```\n\nSo the collection is effectively a line-delimited record file where each line is", "reasoning": "We need answer user's request. User provided huge repeated records and asks: \"Summarize the structure of these records and explain how to look up a record by its ID.\" Need likely analyze from prompt: records ID record000001 to record000858? Each line: recordNNNNNN: alpha beta gamma delta epsilon zeta eta theta. Need summarize structure: fixed format key: value, ID prefix zero-padded six digits? record + six digits, colon space, payload eight Greek words? alpha beta gamma delta epsilon zeta eta theta. Maybe line-delimited text/log. Lookup by ID: use exact ID as line prefix; parse line by colon to get value; if sorted sequential, binary search possible because IDs increasing and zero-padded lex order equals numeric order. Also perhaps in a list, index = numeric id? Since IDs start at 1 and sequential, if all present and no gaps, lookup recordID = records[id] if array 1-indexed or records[id-1] if 0-indexed, but robust method should search by ID. Need maybe mention for 858 records? Count? Let's verify lines start at 1 and end 858. The user included up to record000858. Could count: 858 lines. Need answer maybe concise but detailed. Need avoid listing all. Also maybe mention ID format: \"record%06d\". Payload constant. Maybe lookup: strip ID to number: int(record_id.removeprefix('record')), then compute offset. But if missing/duplicates, use map/dictionary from ID to record. If file text, grep exact prefix '^record000423:'. Could provide pseudocode. Also mention case-insensitive? no. Need final only.\n", "tool_calls": [], "finish_reason": "length", "usage": {"prompt_tokens": 16387, "completion_tokens": 512, "total_tokens": 16899, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 16387, "prompt_ms": 2727.1, "prompt_per_token_ms": 0.166, "prompt_per_second": 6008.9, "predicted_n": 512, "predicted_ms": 4132.6, "predicted_per_token_ms": 8.071, "predicted_per_second": 123.9, "draft_n": 369, "draft_n_accepted": 226}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 6.879444, "first_delta": {"offset_s": 2.754942, "kind": "reasoning"}, "first_answer_offset_s": 5.978836, "client_events": [[2.754942, "reasoning"], [2.774871, "reasoning"], [2.774909, "reasoning"], [2.774927, "reasoning"], [2.774968, "reasoning"], [2.782238, "reasoning"], [2.782264, "reasoning"], [2.782282, "reasoning"], [2.795234, "reasoning"], [2.808772, "reasoning"], [2.813964, "reasoning"], [2.834344, "reasoning"], [2.834369, "reasoning"], 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gamma delta epsilon zeta eta theta.\nrecord000004: alpha beta gamma delta epsilon zeta eta theta.\nrecord000005: alpha beta gamma delta epsilon zeta eta theta.\nrecord000006: alpha beta gamma delta epsilon zeta eta theta.\nrecord000007: alpha beta gamma delta epsilon zeta eta theta.\nrecord000008: alpha beta gamma delta epsilon zeta eta theta.\nrecord000009: alpha beta gamma delta epsilon zeta eta theta.\nrecord000010: alpha beta gamma delta epsilon zeta eta theta.\nrecord000011: alpha beta gamma delta epsilon zeta eta theta.\nrecord000012: alpha beta gamma delta epsilon zeta eta theta.\nrecord000013: alpha beta gamma delta epsilon zeta eta theta.\nrecord000014: alpha beta gamma delta epsilon zeta eta theta.\nrecord000015: alpha beta gamma delta epsilon zeta eta theta.\nrecord000016: alpha beta gamma delta epsilon zeta eta theta.\nrecord000017: alpha beta gamma delta epsilon zeta eta theta.\nrecord000018: alpha beta gamma delta epsilon zeta eta theta.\nrecord000019: alpha beta gamma 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theta.\nrecord000180: alpha beta gamma delta epsilon zeta eta theta.\nrecord000181: alpha beta gamma delta epsilon zeta eta theta.\nrecord000182: alpha beta gamma delta epsilon zeta eta theta.\nrecord000183: alpha beta gamma delta epsilon zeta eta theta.\nrecord000184: alpha beta gamma delta epsilon zeta eta theta.\nrecord000185: alpha beta gamma delta epsilon zeta eta theta.\nrecord000186: alpha beta gamma delta epsilon zeta eta theta.\nrecord000187: alpha beta gamma delta epsilon zeta eta theta.\nrecord000188: alpha beta gamma delta epsilon zeta eta theta.\nrecord000189: alpha beta gamma delta epsilon zeta eta theta.\nrecord000190: alpha beta gamma delta epsilon zeta eta theta.\nrecord000191: alpha beta gamma delta epsilon zeta eta theta.\nrecord000192: alpha beta gamma delta epsilon zeta eta theta.\nrecord000193: alpha beta gamma delta epsilon zeta eta theta.\nrecord000194: alpha beta gamma delta epsilon zeta eta theta.\nrecord000195: alpha beta gamma delta epsilon zeta eta theta.\nrecord000196: alpha beta gamma delta epsilon zeta eta theta.\nrecord000197: alpha beta gamma delta epsilon zeta eta theta.\nrecord000198: alpha beta gamma delta epsilon zeta eta theta.\nrecord000199: alpha beta gamma delta epsilon zeta eta theta.\nrecord000200: alpha beta gamma delta epsilon zeta eta theta.\nrecord000201: alpha beta gamma delta epsilon zeta eta theta.\nrecord000202: alpha beta gamma delta epsilon zeta eta theta.\nrecord000203: alpha beta gamma delta epsilon zeta eta theta.\nrecord000204: alpha beta gamma delta epsilon zeta eta theta.\nrecord000205: alpha beta gamma delta epsilon zeta eta theta.\nrecord000206: alpha beta gamma delta epsilon zeta eta theta.\nrecord000207: alpha beta gamma delta epsilon zeta eta theta.\nrecord000208: alpha beta gamma delta epsilon zeta eta theta.\nrecord000209: alpha beta gamma delta epsilon zeta eta theta.\nrecord000210: alpha beta gamma delta epsilon zeta eta theta.\nrecord000211: alpha beta gamma delta epsilon zeta eta theta.\nSummarize the structure of these records and explain how to look up a record by its ID."}], "tools": null, "final_answer": "Each record has a simple two-part structure:\n\n```text\nrecord000123: alpha beta gamma delta epsilon zeta eta theta\n```\n\n- **Record ID**: the text before the colon, e.g. `record000123`\n- **Record value/content**: the text after the colon, e.g. `alpha beta gamma delta epsilon zeta eta theta`\n\nAll records in this example share the same content:\n\n```text\nalpha beta gamma delta epsilon zeta eta theta\n```\n\nThe record IDs are sequential and zero-padded to six digits, ranging from:\n\n```text\nrecord000001\n```\n\nto:\n\n```text\nrecord000211\n```\n\nTo look up a record by its ID:\n\n1. Take the desired numeric ID, for example `123`.\n2. Format it as a zero-padded six-digit ID:\n\n ```text\n record000123\n ```\n\n3. Find the line beginning with that exact ID.\n4. Return the text after the colon as the record value.\n\nExample lookup:\n\n```text\nID: record000123\nValue: alpha beta gamma delta epsilon zeta eta theta\n```\n\nIn a file or dataset, this could be done by searching for the exact prefix:\n\n```text\nrecord", "reasoning": "We need answer user's request. User provided records 1-211 all identical content: alpha beta gamma delta epsilon zeta eta theta. Asks: \"Summarize the structure of these records and explain how to look up a record by its ID.\" Need likely respond with structure: each line has recordNNNNNN: followed by fixed fields/tokens. IDs are zero-padded six-digit after record. To lookup by ID: parse line prefix before colon, match exact ID like record000200, then retrieve content after colon. Could mention if ID is numeric, format with %06d; binary search possible because sorted; use hash map. Also summarize: 211 records sequential from record000001 to record000211, identical value list. Need be concise but thorough. Ensure final answer only. Need in English same language. Could provide examples. Also maybe note if using line-based text: grep -n '^record000123:' file. Or index. 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theta.\nrecord000636: alpha beta gamma delta epsilon zeta eta theta.\nrecord000637: alpha beta gamma delta epsilon zeta eta theta.\nrecord000638: alpha beta gamma delta epsilon zeta eta theta.\nrecord000639: alpha beta gamma delta epsilon zeta eta theta.\nrecord000640: alpha beta gamma delta epsilon zeta eta theta.\nrecord000641: alpha beta gamma delta epsilon zeta eta theta.\nrecord000642: alpha beta gamma delta epsilon zeta eta theta.\nrecord000643: alpha beta gamma delta epsilon zeta eta theta.\nrecord000644: alpha beta gamma delta epsilon zeta eta theta.\nrecord000645: alpha beta gamma delta epsilon zeta eta theta.\nrecord000646: alpha beta gamma delta epsilon zeta eta theta.\nrecord000647: alpha beta gamma delta epsilon zeta eta theta.\nrecord000648: alpha beta gamma delta epsilon zeta eta theta.\nrecord000649: alpha beta gamma delta epsilon zeta eta theta.\nrecord000650: alpha beta gamma delta epsilon zeta eta theta.\nrecord000651: alpha beta gamma delta epsilon zeta eta theta.\nrecord000652: alpha beta gamma delta epsilon zeta eta theta.\nrecord000653: alpha beta gamma delta epsilon zeta eta theta.\nrecord000654: alpha beta gamma delta epsilon zeta eta theta.\nrecord000655: alpha beta gamma delta epsilon zeta eta theta.\nrecord000656: alpha beta gamma delta epsilon zeta eta theta.\nrecord000657: alpha beta gamma delta epsilon zeta eta theta.\nrecord000658: alpha beta gamma delta epsilon zeta eta theta.\nrecord000659: alpha beta gamma delta epsilon zeta eta theta.\nrecord000660: alpha beta gamma delta epsilon zeta eta theta.\nrecord000661: alpha beta gamma delta epsilon zeta eta theta.\nrecord000662: alpha beta gamma delta epsilon zeta eta theta.\nrecord000663: alpha beta gamma delta epsilon zeta eta theta.\nrecord000664: alpha beta gamma delta epsilon zeta eta theta.\nrecord000665: alpha beta gamma delta epsilon zeta eta theta.\nrecord000666: alpha beta gamma delta epsilon zeta eta theta.\nrecord000667: alpha beta gamma delta epsilon zeta eta theta.\nrecord000668: alpha beta gamma delta epsilon zeta eta theta.\nrecord000669: alpha beta gamma delta epsilon zeta eta theta.\nrecord000670: alpha beta gamma delta epsilon zeta eta theta.\nrecord000671: alpha beta gamma delta epsilon zeta eta theta.\nrecord000672: alpha beta gamma delta epsilon zeta eta theta.\nrecord000673: alpha beta gamma delta epsilon zeta eta theta.\nrecord000674: alpha beta gamma delta epsilon zeta eta theta.\nrecord000675: alpha beta gamma delta epsilon zeta eta theta.\nrecord000676: alpha beta gamma delta epsilon zeta eta theta.\nrecord000677: alpha beta gamma delta epsilon zeta eta theta.\nrecord000678: alpha beta gamma delta epsilon zeta eta theta.\nrecord000679: alpha beta gamma delta epsilon zeta eta theta.\nrecord000680: alpha beta gamma delta epsilon zeta eta theta.\nrecord000681: alpha beta gamma delta epsilon zeta eta theta.\nrecord000682: alpha beta gamma delta epsilon zeta eta theta.\nrecord000683: alpha beta gamma delta epsilon zeta eta theta.\nrecord000684: alpha beta gamma delta epsilon zeta eta theta.\nrecord000685: alpha beta gamma delta epsilon zeta eta theta.\nrecord000686: alpha beta gamma delta epsilon zeta eta theta.\nrecord000687: alpha beta gamma delta epsilon zeta eta theta.\nrecord000688: alpha beta gamma delta epsilon zeta eta theta.\nrecord000689: alpha beta gamma delta epsilon zeta eta theta.\nrecord000690: alpha beta gamma delta epsilon zeta eta theta.\nrecord000691: alpha beta gamma delta epsilon zeta eta theta.\nrecord000692: alpha beta gamma delta epsilon zeta eta theta.\nrecord000693: alpha beta gamma delta epsilon zeta eta theta.\nrecord000694: alpha beta gamma delta epsilon zeta eta theta.\nrecord000695: alpha beta gamma delta epsilon zeta eta theta.\nrecord000696: alpha beta gamma delta epsilon zeta eta theta.\nrecord000697: alpha beta gamma delta epsilon zeta eta theta.\nrecord000698: alpha beta gamma delta epsilon zeta eta theta.\nrecord000699: alpha beta gamma delta epsilon zeta eta theta.\nrecord000700: alpha beta gamma delta epsilon zeta eta theta.\nrecord000701: alpha beta gamma delta epsilon zeta eta theta.\nrecord000702: alpha beta gamma delta epsilon zeta eta theta.\nrecord000703: alpha beta gamma delta epsilon zeta eta theta.\nrecord000704: alpha beta gamma delta epsilon zeta eta theta.\nrecord000705: alpha beta gamma delta epsilon zeta eta theta.\nrecord000706: alpha beta gamma delta epsilon zeta eta theta.\nrecord000707: alpha beta gamma delta epsilon zeta eta theta.\nrecord000708: alpha beta gamma delta epsilon zeta eta theta.\nrecord000709: alpha beta gamma delta epsilon zeta eta theta.\nrecord000710: alpha beta gamma delta epsilon zeta eta theta.\nrecord000711: alpha beta gamma delta epsilon zeta eta theta.\nrecord000712: alpha beta gamma delta epsilon zeta eta theta.\nrecord000713: alpha beta gamma delta epsilon zeta eta theta.\nrecord000714: alpha beta gamma delta epsilon zeta eta theta.\nrecord000715: alpha beta gamma delta epsilon zeta eta theta.\nrecord000716: alpha beta gamma delta epsilon zeta eta theta.\nrecord000717: alpha beta gamma delta epsilon zeta eta theta.\nrecord000718: alpha beta gamma delta epsilon zeta eta theta.\nrecord000719: alpha beta gamma delta epsilon zeta eta theta.\nrecord000720: alpha beta gamma delta epsilon zeta eta theta.\nrecord000721: alpha beta gamma delta epsilon zeta eta theta.\nrecord000722: alpha beta gamma delta epsilon zeta eta theta.\nrecord000723: alpha beta gamma delta epsilon zeta eta theta.\nrecord000724: alpha beta gamma delta epsilon zeta eta theta.\nrecord000725: alpha beta gamma delta epsilon zeta eta theta.\nrecord000726: alpha beta gamma delta epsilon zeta eta theta.\nrecord000727: alpha beta gamma delta epsilon zeta eta theta.\nrecord000728: alpha beta gamma delta epsilon zeta eta theta.\nrecord000729: alpha beta gamma delta epsilon zeta eta theta.\nrecord000730: alpha beta gamma delta epsilon zeta eta theta.\nrecord000731: alpha beta gamma delta epsilon zeta eta theta.\nrecord000732: alpha beta gamma delta epsilon zeta eta theta.\nrecord000733: alpha beta gamma delta epsilon zeta eta theta.\nrecord000734: alpha beta gamma delta epsilon zeta eta theta.\nrecord000735: alpha beta gamma delta epsilon zeta eta theta.\nrecord000736: alpha beta gamma delta epsilon zeta eta theta.\nrecord000737: alpha beta gamma delta epsilon zeta eta theta.\nrecord000738: alpha beta gamma delta epsilon zeta eta theta.\nrecord000739: alpha beta gamma delta epsilon zeta eta theta.\nrecord000740: alpha beta gamma delta epsilon zeta eta theta.\nrecord000741: alpha beta gamma delta epsilon zeta eta theta.\nrecord000742: alpha beta gamma delta epsilon zeta eta theta.\nrecord000743: alpha beta gamma delta epsilon zeta eta theta.\nrecord000744: alpha beta gamma delta epsilon zeta eta theta.\nrecord000745: alpha beta gamma delta epsilon zeta eta theta.\nrecord000746: alpha beta gamma delta epsilon zeta eta theta.\nrecord000747: alpha beta gamma delta epsilon zeta eta theta.\nrecord000748: alpha beta gamma delta epsilon zeta eta theta.\nrecord000749: alpha beta gamma delta epsilon zeta eta theta.\nrecord000750: alpha beta gamma delta epsilon zeta eta theta.\nrecord000751: alpha beta gamma delta epsilon zeta eta theta.\nrecord000752: alpha beta gamma delta epsilon zeta eta theta.\nrecord000753: alpha beta gamma delta epsilon zeta eta theta.\nrecord000754: alpha beta gamma delta epsilon zeta eta theta.\nrecord000755: alpha beta gamma delta epsilon zeta eta theta.\nrecord000756: alpha beta gamma delta epsilon zeta eta theta.\nrecord000757: alpha beta gamma delta epsilon zeta eta theta.\nrecord000758: alpha beta gamma delta epsilon zeta eta theta.\nrecord000759: alpha beta gamma delta epsilon zeta eta theta.\nrecord000760: alpha beta gamma delta epsilon zeta eta theta.\nrecord000761: alpha beta gamma delta epsilon zeta eta theta.\nrecord000762: alpha beta gamma delta epsilon zeta eta theta.\nrecord000763: alpha beta gamma delta epsilon zeta eta theta.\nrecord000764: alpha beta gamma delta epsilon zeta eta theta.\nrecord000765: alpha beta gamma delta epsilon zeta eta theta.\nrecord000766: alpha beta gamma delta epsilon zeta eta theta.\nrecord000767: alpha beta gamma delta epsilon zeta eta theta.\nrecord000768: alpha beta gamma delta epsilon zeta eta theta.\nrecord000769: alpha beta gamma delta epsilon zeta eta theta.\nrecord000770: alpha beta gamma delta epsilon zeta eta theta.\nrecord000771: alpha beta gamma delta epsilon zeta eta theta.\nrecord000772: alpha beta gamma delta epsilon zeta eta theta.\nrecord000773: alpha beta gamma delta epsilon zeta eta theta.\nrecord000774: alpha beta gamma delta epsilon zeta eta theta.\nrecord000775: alpha beta gamma delta epsilon zeta eta theta.\nrecord000776: alpha beta gamma delta epsilon zeta eta theta.\nrecord000777: alpha beta gamma delta epsilon zeta eta theta.\nrecord000778: alpha beta gamma delta epsilon zeta eta theta.\nrecord000779: alpha beta gamma delta epsilon zeta eta theta.\nrecord000780: alpha beta gamma delta epsilon zeta eta theta.\nrecord000781: alpha beta gamma delta epsilon zeta eta theta.\nrecord000782: alpha beta gamma delta epsilon zeta eta theta.\nrecord000783: alpha beta gamma delta epsilon zeta eta theta.\nrecord000784: alpha beta gamma delta epsilon zeta eta theta.\nrecord000785: alpha beta gamma delta epsilon zeta eta theta.\nrecord000786: alpha beta gamma delta epsilon zeta eta theta.\nrecord000787: alpha beta gamma delta epsilon zeta eta theta.\nrecord000788: alpha beta gamma delta epsilon zeta eta theta.\nrecord000789: alpha beta gamma delta epsilon zeta eta theta.\nrecord000790: alpha beta gamma delta epsilon zeta eta theta.\nrecord000791: alpha beta gamma delta epsilon zeta eta theta.\nrecord000792: alpha beta gamma delta epsilon zeta eta theta.\nrecord000793: alpha beta gamma delta epsilon zeta eta theta.\nrecord000794: alpha beta gamma delta epsilon zeta eta theta.\nrecord000795: alpha beta gamma delta epsilon zeta eta theta.\nrecord000796: alpha beta gamma delta epsilon zeta eta theta.\nrecord000797: alpha beta gamma delta epsilon zeta eta theta.\nrecord000798: alpha beta gamma delta epsilon zeta eta theta.\nrecord000799: alpha beta gamma delta epsilon zeta eta theta.\nrecord000800: alpha beta gamma delta epsilon zeta eta theta.\nrecord000801: alpha beta gamma delta epsilon zeta eta theta.\nrecord000802: alpha beta gamma delta epsilon zeta eta theta.\nrecord000803: alpha beta gamma delta epsilon zeta eta theta.\nrecord000804: alpha beta gamma delta epsilon zeta eta theta.\nrecord000805: alpha beta gamma delta epsilon zeta eta theta.\nrecord000806: alpha beta gamma delta epsilon zeta eta theta.\nrecord000807: alpha beta gamma delta epsilon zeta eta theta.\nrecord000808: alpha beta gamma delta epsilon zeta eta theta.\nrecord000809: alpha beta gamma delta epsilon zeta eta theta.\nrecord000810: alpha beta gamma delta epsilon zeta eta theta.\nrecord000811: alpha beta gamma delta epsilon zeta eta theta.\nrecord000812: alpha beta gamma delta epsilon zeta eta theta.\nrecord000813: alpha beta gamma delta epsilon zeta eta theta.\nrecord000814: alpha beta gamma delta epsilon zeta eta theta.\nrecord000815: alpha beta gamma delta epsilon zeta eta theta.\nrecord000816: alpha beta gamma delta epsilon zeta eta theta.\nrecord000817: alpha beta gamma delta epsilon zeta eta theta.\nrecord000818: alpha beta gamma delta epsilon zeta eta theta.\nrecord000819: alpha beta gamma delta epsilon zeta eta theta.\nrecord000820: alpha beta gamma delta epsilon zeta eta theta.\nrecord000821: alpha beta gamma delta epsilon zeta eta theta.\nrecord000822: alpha beta gamma delta epsilon zeta eta theta.\nrecord000823: alpha beta gamma delta epsilon zeta eta theta.\nrecord000824: alpha beta gamma delta epsilon zeta eta theta.\nrecord000825: alpha beta gamma delta epsilon zeta eta theta.\nrecord000826: alpha beta gamma delta epsilon zeta eta theta.\nrecord000827: alpha beta gamma delta epsilon zeta eta theta.\nrecord000828: alpha beta gamma delta epsilon zeta eta theta.\nrecord000829: alpha beta gamma delta epsilon zeta eta theta.\nrecord000830: alpha beta gamma delta epsilon zeta eta theta.\nrecord000831: alpha beta gamma delta epsilon zeta eta theta.\nrecord000832: alpha beta gamma delta epsilon zeta eta theta.\nrecord000833: alpha beta gamma delta epsilon zeta eta theta.\nrecord000834: alpha beta gamma delta epsilon zeta eta theta.\nrecord000835: alpha beta gamma delta epsilon zeta eta theta.\nrecord000836: alpha beta gamma delta epsilon zeta eta theta.\nrecord000837: alpha beta gamma delta epsilon zeta eta theta.\nrecord000838: alpha beta gamma delta epsilon zeta eta theta.\nrecord000839: alpha beta gamma delta epsilon zeta eta theta.\nrecord000840: alpha beta gamma delta epsilon zeta eta theta.\nrecord000841: alpha beta gamma delta epsilon zeta eta theta.\nrecord000842: alpha beta gamma delta epsilon zeta eta theta.\nrecord000843: alpha beta gamma delta epsilon zeta eta theta.\nrecord000844: alpha beta gamma delta epsilon zeta eta theta.\nrecord000845: alpha beta gamma delta epsilon zeta eta theta.\nrecord000846: alpha beta gamma delta epsilon zeta eta theta.\nrecord000847: alpha beta gamma delta epsilon zeta eta theta.\nrecord000848: alpha beta gamma delta epsilon zeta eta theta.\nrecord000849: alpha beta gamma delta epsilon zeta eta theta.\nrecord000850: alpha beta gamma delta epsilon zeta eta theta.\nrecord000851: alpha beta gamma delta epsilon zeta eta theta.\nrecord000852: alpha beta gamma delta epsilon zeta eta theta.\nrecord000853: alpha beta gamma delta epsilon zeta eta theta.\nrecord000854: alpha beta gamma delta epsilon zeta eta theta.\nrecord000855: alpha beta gamma delta epsilon zeta eta theta.\nrecord000856: alpha beta gamma delta epsilon zeta eta theta.\nrecord000857: alpha beta gamma delta epsilon zeta eta theta.\nrecord000858: alpha beta gamma delta epsilon zeta eta theta.\nSummarize the structure of these records and explain how to look up a record by its ID."}], "tools": null, "final_answer": "Each record has the same simple structure:\n\n```text\nrecord000001: alpha beta gamma delta epsilon zeta eta theta.\n```\n\nSo each line contains:\n\n- **Record ID**: `record` followed by a six-digit zero-padded number \n - Example: `record000001`, `record000042`, `record000858`\n- **Separator**: a colon and space `: `\n- **Record value**: the fixed sequence \n", "reasoning": "We need respond to user. User provided a huge list of records (record000001 to record000858?) each same content: \"alpha beta gamma delta epsilon zeta eta theta.\" They ask: \"Summarize the structure of these records and explain how to look up a record by its ID.\"\n\nNeed produce final answer. Need think in English? User request English. Need maybe include structure: each line is a record with ID field \"record\" + six-digit zero-padded number, colon, value sequence of eight Greek alphabet names. IDs sequential 1..858? Need verify last is record000858. Yes. All values identical. Need explain lookup: parse line, find ID, match zero-padded ID, maybe use data structure map/hash, binary search due sequential IDs, construct key recordNNNNNN, ensure zero padding. Maybe include examples: lookup record000042 -> alpha beta gamma delta epsilon zeta eta theta. Could mention if missing? Since all present. Also maybe summarize size 858 records. Could explain format in fields.\n\nNeed careful: The list maybe truncated? It includes up to 858, not 16k? case prompt 16k but only 858 records. We should answer only visible records. Structure: each record line: key = record + 6-digit decimal zero-padded; separator colon-space; value = fixed token list of eight words: alpha beta gamma delta epsilon zeta eta theta. The records are ordered by numeric ID ascending. Need look up: normalize desired ID to 6 digits, search line beginning with ID + \":\" or map from ID to tokens. If using program: split at first colon, left part key. Or if array indexed by ID: records[id-1] due sequential. Could mention case-sensitive.\n\nFinal answer concise but enough. Ensure not too much.\n", "tool_calls": [], "finish_reason": "length", "usage": {"prompt_tokens": 16387, "completion_tokens": 512, "total_tokens": 16899, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 16387, "prompt_ms": 2747.4, "prompt_per_token_ms": 0.168, "prompt_per_second": 5964.5, "predicted_n": 512, "predicted_ms": 4109.6, "predicted_per_token_ms": 8.027, "predicted_per_second": 124.6, "draft_n": 381, "draft_n_accepted": 231}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 6.876715, "first_delta": {"offset_s": 2.77494, "kind": "reasoning"}, "first_answer_offset_s": 6.276385, "client_events": [[2.77494, "reasoning"], [2.795316, "reasoning"], [2.795342, "reasoning"], [2.816368, "reasoning"], [2.816394, "reasoning"], [2.816412, "reasoning"], [2.816452, "reasoning"], [2.824839, "reasoning"], [2.837565, "reasoning"], [2.850469, "reasoning"], [2.856034, "reasoning"], [2.870929, "reasoning"], [2.870955, "reasoning"], 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zeta eta theta.\nrecord000050: alpha beta gamma delta epsilon zeta eta theta.\nrecord000051: alpha beta gamma delta epsilon zeta eta theta.\nrecord000052: alpha beta gamma delta epsilon zeta eta theta.\nrecord000053: alpha beta gamma delta epsilon zeta eta theta.\nrecord000054: alpha beta gamma delta epsilon zeta eta theta.\nrecord000055: alpha beta gamma delta epsilon zeta eta theta.\nrecord000056: alpha beta gamma delta epsilon zeta eta theta.\nrecord000057: alpha beta gamma delta epsilon zeta eta theta.\nrecord000058: alpha beta gamma delta epsilon zeta eta theta.\nrecord000059: alpha beta gamma delta epsilon zeta eta theta.\nrecord000060: alpha beta gamma delta epsilon zeta eta theta.\nrecord000061: alpha beta gamma delta epsilon zeta eta theta.\nrecord000062: alpha beta gamma delta epsilon zeta eta theta.\nrecord000063: alpha beta gamma delta epsilon zeta eta theta.\nrecord000064: alpha beta gamma delta epsilon zeta eta theta.\nrecord000065: alpha beta gamma delta epsilon zeta eta 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theta.\nrecord000114: alpha beta gamma delta epsilon zeta eta theta.\nrecord000115: alpha beta gamma delta epsilon zeta eta theta.\nrecord000116: alpha beta gamma delta epsilon zeta eta theta.\nrecord000117: alpha beta gamma delta epsilon zeta eta theta.\nrecord000118: alpha beta gamma delta epsilon zeta eta theta.\nrecord000119: alpha beta gamma delta epsilon zeta eta theta.\nrecord000120: alpha beta gamma delta epsilon zeta eta theta.\nrecord000121: alpha beta gamma delta epsilon zeta eta theta.\nrecord000122: alpha beta gamma delta epsilon zeta eta theta.\nrecord000123: alpha beta gamma delta epsilon zeta eta theta.\nrecord000124: alpha beta gamma delta epsilon zeta eta theta.\nrecord000125: alpha beta gamma delta epsilon zeta eta theta.\nrecord000126: alpha beta gamma delta epsilon zeta eta theta.\nrecord000127: alpha beta gamma delta epsilon zeta eta theta.\nrecord000128: alpha beta gamma delta epsilon zeta eta theta.\nrecord000129: alpha beta gamma delta epsilon zeta eta 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theta.\nrecord000178: alpha beta gamma delta epsilon zeta eta theta.\nrecord000179: alpha beta gamma delta epsilon zeta eta theta.\nrecord000180: alpha beta gamma delta epsilon zeta eta theta.\nrecord000181: alpha beta gamma delta epsilon zeta eta theta.\nrecord000182: alpha beta gamma delta epsilon zeta eta theta.\nrecord000183: alpha beta gamma delta epsilon zeta eta theta.\nrecord000184: alpha beta gamma delta epsilon zeta eta theta.\nrecord000185: alpha beta gamma delta epsilon zeta eta theta.\nrecord000186: alpha beta gamma delta epsilon zeta eta theta.\nrecord000187: alpha beta gamma delta epsilon zeta eta theta.\nrecord000188: alpha beta gamma delta epsilon zeta eta theta.\nrecord000189: alpha beta gamma delta epsilon zeta eta theta.\nrecord000190: alpha beta gamma delta epsilon zeta eta theta.\nrecord000191: alpha beta gamma delta epsilon zeta eta theta.\nrecord000192: alpha beta gamma delta epsilon zeta eta theta.\nrecord000193: alpha beta gamma delta epsilon zeta eta theta.\nrecord000194: alpha beta gamma delta epsilon zeta eta theta.\nrecord000195: alpha beta gamma delta epsilon zeta eta theta.\nrecord000196: alpha beta gamma delta epsilon zeta eta theta.\nrecord000197: alpha beta gamma delta epsilon zeta eta theta.\nrecord000198: alpha beta gamma delta epsilon zeta eta theta.\nrecord000199: alpha beta gamma delta epsilon zeta eta theta.\nrecord000200: alpha beta gamma delta epsilon zeta eta theta.\nrecord000201: alpha beta gamma delta epsilon zeta eta theta.\nrecord000202: alpha beta gamma delta epsilon zeta eta theta.\nrecord000203: alpha beta gamma delta epsilon zeta eta theta.\nrecord000204: alpha beta gamma delta epsilon zeta eta theta.\nrecord000205: alpha beta gamma delta epsilon zeta eta theta.\nrecord000206: alpha beta gamma delta epsilon zeta eta theta.\nrecord000207: alpha beta gamma delta epsilon zeta eta theta.\nrecord000208: alpha beta gamma delta epsilon zeta eta theta.\nrecord000209: alpha beta gamma delta epsilon zeta eta theta.\nrecord000210: alpha beta gamma delta epsilon zeta eta theta.\nrecord000211: alpha beta gamma delta epsilon zeta eta theta.\nWhat is access_code? Reply only with its value."}], "tools": null, "final_answer": "ORBIT-731", "reasoning": "We need answer user's request. User provided a long log with access_code = ORBIT-731 among records and asks What is access_code? Reply only with its value. Need output only value. Final: ORBIT-731. 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eta theta.\nrecord000006: alpha beta gamma delta epsilon zeta eta theta.\nrecord000007: alpha beta gamma delta epsilon zeta eta theta.\nrecord000008: alpha beta gamma delta epsilon zeta eta theta.\nrecord000009: alpha beta gamma delta epsilon zeta eta theta.\nrecord000010: alpha beta gamma delta epsilon zeta eta theta.\nrecord000011: alpha beta gamma delta epsilon zeta eta theta.\nrecord000012: alpha beta gamma delta epsilon zeta eta theta.\nrecord000013: alpha beta gamma delta epsilon zeta eta theta.\nrecord000014: alpha beta gamma delta epsilon zeta eta theta.\nrecord000015: alpha beta gamma delta epsilon zeta eta theta.\nrecord000016: alpha beta gamma delta epsilon zeta eta theta.\nrecord000017: alpha beta gamma delta epsilon zeta eta theta.\nrecord000018: alpha beta gamma delta epsilon zeta eta theta.\nrecord000019: alpha beta gamma delta epsilon zeta eta theta.\nrecord000020: alpha beta gamma delta epsilon zeta eta theta.\nrecord000021: alpha beta gamma delta epsilon zeta eta theta.\nrecord000022: alpha beta gamma delta epsilon zeta eta theta.\nrecord000023: alpha beta gamma delta epsilon zeta eta theta.\nrecord000024: alpha beta gamma delta epsilon zeta eta theta.\nrecord000025: alpha beta gamma delta epsilon zeta eta theta.\nrecord000026: alpha beta gamma delta epsilon zeta eta theta.\nrecord000027: alpha beta gamma delta epsilon zeta eta theta.\nrecord000028: alpha beta gamma delta epsilon zeta eta theta.\nrecord000029: alpha beta gamma delta epsilon zeta eta theta.\nrecord000030: alpha beta gamma delta epsilon zeta eta theta.\nrecord000031: alpha beta gamma delta epsilon zeta eta theta.\nrecord000032: alpha beta gamma delta epsilon zeta eta theta.\nrecord000033: alpha beta gamma delta epsilon zeta eta theta.\nrecord000034: alpha beta gamma delta epsilon zeta eta theta.\nrecord000035: alpha beta gamma delta epsilon zeta eta theta.\nrecord000036: alpha beta gamma delta epsilon zeta eta theta.\nrecord000037: alpha beta gamma delta epsilon zeta eta theta.\nrecord000038: alpha beta gamma delta epsilon zeta eta theta.\nrecord000039: alpha beta gamma delta epsilon zeta eta theta.\nrecord000040: alpha beta gamma delta epsilon zeta eta theta.\nrecord000041: alpha beta gamma delta epsilon zeta eta theta.\nrecord000042: alpha beta gamma delta epsilon zeta eta theta.\nrecord000043: alpha beta gamma delta epsilon zeta eta theta.\nrecord000044: alpha beta gamma delta epsilon zeta eta theta.\nrecord000045: alpha beta gamma delta epsilon zeta eta theta.\nrecord000046: alpha beta gamma delta epsilon zeta eta theta.\nrecord000047: alpha beta gamma delta epsilon zeta eta theta.\nrecord000048: alpha beta gamma delta epsilon zeta eta theta.\nrecord000049: alpha beta gamma delta epsilon zeta eta theta.\nrecord000050: alpha beta gamma delta epsilon zeta eta theta.\nrecord000051: alpha beta gamma delta epsilon zeta eta theta.\nrecord000052: alpha beta gamma delta epsilon zeta eta theta.\nrecord000053: alpha beta gamma delta epsilon zeta eta theta.\nrecord000054: alpha beta gamma delta epsilon zeta eta theta.\nrecord000055: alpha beta gamma delta epsilon zeta eta theta.\nrecord000056: alpha beta gamma delta epsilon zeta eta theta.\nrecord000057: alpha beta gamma delta epsilon zeta eta theta.\nrecord000058: alpha beta gamma delta epsilon zeta eta theta.\nrecord000059: alpha beta gamma delta epsilon zeta eta theta.\nrecord000060: alpha beta gamma delta epsilon zeta eta theta.\nrecord000061: alpha beta gamma delta epsilon zeta eta theta.\nrecord000062: alpha beta gamma delta epsilon zeta eta theta.\nrecord000063: alpha beta gamma delta epsilon zeta eta theta.\nrecord000064: alpha beta gamma delta epsilon zeta eta theta.\nrecord000065: alpha beta gamma delta epsilon zeta eta theta.\nrecord000066: alpha beta gamma delta epsilon zeta eta theta.\nrecord000067: alpha beta gamma delta epsilon zeta eta theta.\nrecord000068: alpha beta gamma delta epsilon zeta eta theta.\nrecord000069: alpha beta gamma delta epsilon zeta eta theta.\nrecord000070: alpha beta gamma delta epsilon zeta eta theta.\nrecord000071: alpha beta gamma delta epsilon zeta eta theta.\nrecord000072: alpha beta gamma delta epsilon zeta eta theta.\nrecord000073: alpha beta gamma delta epsilon zeta eta theta.\nrecord000074: alpha beta gamma delta epsilon zeta eta theta.\nrecord000075: alpha beta gamma delta epsilon zeta eta theta.\nrecord000076: alpha beta gamma delta epsilon zeta eta theta.\nrecord000077: alpha beta gamma delta epsilon zeta eta theta.\nrecord000078: alpha beta gamma delta epsilon zeta eta theta.\nrecord000079: alpha beta gamma delta epsilon zeta eta theta.\nrecord000080: alpha beta gamma delta epsilon zeta eta theta.\nrecord000081: alpha beta gamma delta epsilon zeta eta theta.\nrecord000082: alpha beta gamma delta epsilon zeta eta theta.\nrecord000083: alpha beta gamma delta epsilon zeta eta theta.\nrecord000084: alpha beta gamma delta epsilon zeta eta theta.\nrecord000085: alpha beta gamma delta epsilon zeta eta theta.\nrecord000086: alpha beta gamma delta epsilon zeta eta theta.\nrecord000087: alpha beta gamma delta epsilon zeta eta theta.\nrecord000088: alpha beta gamma delta epsilon zeta eta theta.\nrecord000089: alpha beta gamma delta epsilon zeta eta theta.\nrecord000090: alpha beta gamma delta epsilon zeta eta theta.\nrecord000091: alpha beta gamma delta epsilon zeta eta theta.\nrecord000092: alpha beta gamma delta epsilon zeta eta theta.\nrecord000093: alpha beta gamma delta epsilon zeta eta theta.\nrecord000094: alpha beta gamma delta epsilon zeta eta theta.\nrecord000095: alpha beta gamma delta epsilon zeta eta theta.\nrecord000096: alpha beta gamma delta epsilon zeta eta theta.\nrecord000097: alpha beta gamma delta epsilon zeta eta theta.\nrecord000098: alpha beta gamma delta epsilon zeta eta theta.\nrecord000099: alpha beta gamma delta epsilon zeta eta theta.\nrecord000100: alpha beta gamma delta epsilon zeta eta theta.\nrecord000101: alpha beta gamma delta epsilon zeta eta theta.\nrecord000102: alpha beta gamma delta epsilon zeta eta theta.\nrecord000103: alpha beta gamma delta epsilon zeta eta theta.\nrecord000104: alpha beta gamma delta epsilon zeta eta theta.\nrecord000105: alpha beta gamma delta epsilon zeta eta theta.\nstorage_label = CEDAR-284\nrecord000106: alpha beta gamma delta epsilon zeta eta theta.\nrecord000107: alpha beta gamma delta epsilon zeta eta theta.\nrecord000108: alpha beta gamma delta epsilon zeta eta theta.\nrecord000109: alpha beta gamma delta epsilon zeta eta theta.\nrecord000110: alpha beta gamma delta epsilon zeta eta theta.\nrecord000111: alpha beta gamma delta epsilon zeta eta theta.\nrecord000112: alpha beta gamma delta epsilon zeta eta theta.\nrecord000113: alpha beta gamma delta epsilon zeta eta theta.\nrecord000114: alpha beta gamma delta epsilon zeta eta theta.\nrecord000115: alpha beta gamma delta epsilon zeta eta theta.\nrecord000116: alpha beta gamma delta epsilon zeta eta theta.\nrecord000117: alpha beta gamma delta epsilon zeta eta theta.\nrecord000118: alpha beta gamma delta epsilon zeta eta theta.\nrecord000119: alpha beta gamma delta epsilon zeta eta theta.\nrecord000120: alpha beta gamma delta epsilon zeta eta theta.\nrecord000121: alpha beta gamma delta epsilon zeta eta theta.\nrecord000122: alpha beta gamma delta epsilon zeta eta theta.\nrecord000123: alpha beta gamma delta epsilon zeta eta theta.\nrecord000124: alpha beta gamma delta epsilon zeta eta theta.\nrecord000125: alpha beta gamma delta epsilon zeta eta theta.\nrecord000126: alpha beta gamma delta epsilon zeta eta theta.\nrecord000127: alpha beta gamma delta epsilon zeta eta theta.\nrecord000128: alpha beta gamma delta epsilon zeta eta theta.\nrecord000129: alpha beta gamma delta epsilon zeta eta theta.\nrecord000130: alpha beta gamma delta epsilon zeta eta theta.\nrecord000131: alpha beta gamma delta epsilon zeta eta theta.\nrecord000132: alpha beta gamma delta epsilon zeta eta theta.\nrecord000133: alpha beta gamma delta epsilon zeta eta theta.\nrecord000134: alpha beta gamma delta epsilon zeta eta theta.\nrecord000135: alpha beta gamma delta epsilon zeta eta theta.\nrecord000136: alpha beta gamma delta epsilon zeta eta theta.\nrecord000137: alpha beta gamma delta epsilon zeta eta theta.\nrecord000138: alpha beta gamma delta epsilon zeta eta theta.\nrecord000139: alpha beta gamma delta epsilon zeta eta theta.\nrecord000140: alpha beta gamma delta epsilon zeta eta theta.\nrecord000141: alpha beta gamma delta epsilon zeta eta theta.\nrecord000142: alpha beta gamma delta epsilon zeta eta theta.\nrecord000143: alpha beta gamma delta epsilon zeta eta theta.\nrecord000144: alpha beta gamma delta epsilon zeta eta theta.\nrecord000145: alpha beta gamma delta epsilon zeta eta theta.\nrecord000146: alpha beta gamma delta epsilon zeta eta theta.\nrecord000147: alpha beta gamma delta epsilon zeta eta theta.\nrecord000148: alpha beta gamma delta epsilon zeta eta theta.\nrecord000149: alpha beta gamma delta epsilon zeta eta theta.\nrecord000150: alpha beta gamma delta epsilon zeta eta theta.\nrecord000151: alpha beta gamma delta epsilon zeta eta theta.\nrecord000152: alpha beta gamma delta epsilon zeta eta theta.\nrecord000153: alpha beta gamma delta epsilon zeta eta theta.\nrecord000154: alpha beta gamma delta epsilon zeta eta theta.\nrecord000155: alpha beta gamma delta epsilon zeta eta theta.\nrecord000156: alpha beta gamma delta epsilon zeta eta theta.\nrecord000157: alpha beta gamma delta epsilon zeta eta theta.\nrecord000158: alpha beta gamma delta epsilon zeta eta theta.\nrecord000159: alpha beta gamma delta epsilon zeta eta theta.\nrecord000160: alpha beta gamma delta epsilon zeta eta theta.\nrecord000161: alpha beta gamma delta epsilon zeta eta theta.\nrecord000162: alpha beta gamma delta epsilon zeta eta theta.\nrecord000163: alpha beta gamma delta epsilon zeta eta theta.\nrecord000164: alpha beta gamma delta epsilon zeta eta theta.\nrecord000165: alpha beta gamma delta epsilon zeta eta theta.\nrecord000166: alpha beta gamma delta epsilon zeta eta theta.\nrecord000167: alpha beta gamma delta epsilon zeta eta theta.\nrecord000168: alpha beta gamma delta epsilon zeta eta theta.\nrecord000169: alpha beta gamma delta epsilon zeta eta theta.\nrecord000170: alpha beta gamma delta epsilon zeta eta theta.\nrecord000171: alpha beta gamma delta epsilon zeta eta theta.\nrecord000172: alpha beta gamma delta epsilon zeta eta theta.\nrecord000173: alpha beta gamma delta epsilon zeta eta theta.\nrecord000174: alpha beta gamma delta epsilon zeta eta theta.\nrecord000175: alpha beta gamma delta epsilon zeta eta theta.\nrecord000176: alpha beta gamma delta epsilon zeta eta theta.\nrecord000177: alpha beta gamma delta epsilon zeta eta theta.\nrecord000178: alpha beta gamma delta epsilon zeta eta theta.\nrecord000179: alpha beta gamma delta epsilon zeta eta theta.\nrecord000180: alpha beta gamma delta epsilon zeta eta theta.\nrecord000181: alpha beta gamma delta epsilon zeta eta 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theta.\nrecord000732: alpha beta gamma delta epsilon zeta eta theta.\nrecord000733: alpha beta gamma delta epsilon zeta eta theta.\nrecord000734: alpha beta gamma delta epsilon zeta eta theta.\nrecord000735: alpha beta gamma delta epsilon zeta eta theta.\nrecord000736: alpha beta gamma delta epsilon zeta eta theta.\nrecord000737: alpha beta gamma delta epsilon zeta eta theta.\nrecord000738: alpha beta gamma delta epsilon zeta eta theta.\nrecord000739: alpha beta gamma delta epsilon zeta eta theta.\nrecord000740: alpha beta gamma delta epsilon zeta eta theta.\nrecord000741: alpha beta gamma delta epsilon zeta eta theta.\nrecord000742: alpha beta gamma delta epsilon zeta eta theta.\nrecord000743: alpha beta gamma delta epsilon zeta eta theta.\nrecord000744: alpha beta gamma delta epsilon zeta eta theta.\nrecord000745: alpha beta gamma delta epsilon zeta eta theta.\nrecord000746: alpha beta gamma delta epsilon zeta eta theta.\nrecord000747: alpha beta gamma delta epsilon zeta eta theta.\nrecord000748: alpha beta gamma delta epsilon zeta eta theta.\nrecord000749: alpha beta gamma delta epsilon zeta eta theta.\nrecord000750: alpha beta gamma delta epsilon zeta eta theta.\nrecord000751: alpha beta gamma delta epsilon zeta eta theta.\nrecord000752: alpha beta gamma delta epsilon zeta eta theta.\nrecord000753: alpha beta gamma delta epsilon zeta eta theta.\nrecord000754: alpha beta gamma delta epsilon zeta eta theta.\nrecord000755: alpha beta gamma delta epsilon zeta eta theta.\nrecord000756: alpha beta gamma delta epsilon zeta eta theta.\nrecord000757: alpha beta gamma delta epsilon zeta eta theta.\nrecord000758: alpha beta gamma delta epsilon zeta eta theta.\nrecord000759: alpha beta gamma delta epsilon zeta eta theta.\nrecord000760: alpha beta gamma delta epsilon zeta eta theta.\nrecord000761: alpha beta gamma delta epsilon zeta eta theta.\nrecord000762: alpha beta gamma delta epsilon zeta eta theta.\nrecord000763: alpha beta gamma delta epsilon zeta eta theta.\nrecord000764: alpha beta gamma delta epsilon zeta eta theta.\nrecord000765: alpha beta gamma delta epsilon zeta eta theta.\nrecord000766: alpha beta gamma delta epsilon zeta eta theta.\nrecord000767: alpha beta gamma delta epsilon zeta eta theta.\nrecord000768: alpha beta gamma delta epsilon zeta eta theta.\nrecord000769: alpha beta gamma delta epsilon zeta eta theta.\nrecord000770: alpha beta gamma delta epsilon zeta eta theta.\nrecord000771: alpha beta gamma delta epsilon zeta eta theta.\nrecord000772: alpha beta gamma delta epsilon zeta eta theta.\nsouth = S-875\nrecord000773: alpha beta gamma delta epsilon zeta eta theta.\nrecord000774: alpha beta gamma delta epsilon zeta eta theta.\nrecord000775: alpha beta gamma delta epsilon zeta eta theta.\nrecord000776: alpha beta gamma delta epsilon zeta eta theta.\nrecord000777: alpha beta gamma delta epsilon zeta eta theta.\nrecord000778: alpha beta gamma delta epsilon zeta eta theta.\nrecord000779: alpha beta gamma delta epsilon zeta eta theta.\nrecord000780: alpha beta gamma delta epsilon zeta eta theta.\nrecord000781: alpha beta gamma delta epsilon zeta eta theta.\nrecord000782: alpha beta gamma delta epsilon zeta eta theta.\nrecord000783: alpha beta gamma delta epsilon zeta eta theta.\nrecord000784: alpha beta gamma delta epsilon zeta eta theta.\nrecord000785: alpha beta gamma delta epsilon zeta eta theta.\nrecord000786: alpha beta gamma delta epsilon zeta eta theta.\nrecord000787: alpha beta gamma delta epsilon zeta eta theta.\nrecord000788: alpha beta gamma delta epsilon zeta eta theta.\nrecord000789: alpha beta gamma delta epsilon zeta eta theta.\nrecord000790: alpha beta gamma delta epsilon zeta eta theta.\nrecord000791: alpha beta gamma delta epsilon zeta eta theta.\nrecord000792: alpha beta gamma delta epsilon zeta eta theta.\nrecord000793: alpha beta gamma delta epsilon zeta eta theta.\nrecord000794: alpha beta gamma delta epsilon zeta eta theta.\nrecord000795: alpha beta gamma delta epsilon zeta eta theta.\nrecord000796: alpha beta gamma delta epsilon zeta eta theta.\nrecord000797: alpha beta gamma delta epsilon zeta eta theta.\nrecord000798: alpha beta gamma delta epsilon zeta eta theta.\nrecord000799: alpha beta gamma delta epsilon zeta eta theta.\nrecord000800: alpha beta gamma delta epsilon zeta eta theta.\nrecord000801: alpha beta gamma delta epsilon zeta eta theta.\nrecord000802: alpha beta gamma delta epsilon zeta eta theta.\nrecord000803: alpha beta gamma delta epsilon zeta eta theta.\nrecord000804: alpha beta gamma delta epsilon zeta eta theta.\nrecord000805: alpha beta gamma delta epsilon zeta eta theta.\nrecord000806: alpha beta gamma delta epsilon zeta eta theta.\nrecord000807: alpha beta gamma delta epsilon zeta eta theta.\nrecord000808: alpha beta gamma delta epsilon zeta eta theta.\nrecord000809: alpha beta gamma delta epsilon zeta eta theta.\nrecord000810: alpha beta gamma delta epsilon zeta eta theta.\nrecord000811: alpha beta gamma delta epsilon zeta eta theta.\nrecord000812: alpha beta gamma delta epsilon zeta eta theta.\nrecord000813: alpha beta gamma delta epsilon zeta eta theta.\nrecord000814: alpha beta gamma delta epsilon zeta eta theta.\nrecord000815: alpha beta gamma delta epsilon zeta eta theta.\nrecord000816: alpha beta gamma delta epsilon zeta eta theta.\nrecord000817: alpha beta gamma delta epsilon zeta eta theta.\nrecord000818: alpha beta gamma delta epsilon zeta eta theta.\nrecord000819: alpha beta gamma delta epsilon zeta eta theta.\nrecord000820: alpha beta gamma delta epsilon zeta eta theta.\nrecord000821: alpha beta gamma delta epsilon zeta eta theta.\nrecord000822: alpha beta gamma delta epsilon zeta eta theta.\nrecord000823: alpha beta gamma delta epsilon zeta eta theta.\nrecord000824: alpha beta gamma delta epsilon zeta eta theta.\nrecord000825: alpha beta gamma delta epsilon zeta eta theta.\nrecord000826: alpha beta gamma delta epsilon zeta eta theta.\nrecord000827: alpha beta gamma delta epsilon zeta eta theta.\nrecord000828: alpha beta gamma delta epsilon zeta eta theta.\nrecord000829: alpha beta gamma delta epsilon zeta eta theta.\nrecord000830: alpha beta gamma delta epsilon zeta eta theta.\nrecord000831: alpha beta gamma delta epsilon zeta eta theta.\nrecord000832: alpha beta gamma delta epsilon zeta eta theta.\nrecord000833: alpha beta gamma delta epsilon zeta eta theta.\nrecord000834: alpha beta gamma delta epsilon zeta eta theta.\nrecord000835: alpha beta gamma delta epsilon zeta eta theta.\nrecord000836: alpha beta gamma delta epsilon zeta eta theta.\nrecord000837: alpha beta gamma delta epsilon zeta eta theta.\nrecord000838: alpha beta gamma delta epsilon zeta eta theta.\nrecord000839: alpha beta gamma delta epsilon zeta eta theta.\nrecord000840: alpha beta gamma delta epsilon zeta eta theta.\nrecord000841: alpha beta gamma delta epsilon zeta eta theta.\nrecord000842: alpha beta gamma delta epsilon zeta eta theta.\nrecord000843: alpha beta gamma delta epsilon zeta eta theta.\nrecord000844: alpha beta gamma delta epsilon zeta eta theta.\nrecord000845: alpha beta gamma delta epsilon zeta eta theta.\nrecord000846: alpha beta gamma delta epsilon zeta eta theta.\nrecord000847: alpha beta gamma delta epsilon zeta eta theta.\nrecord000848: alpha beta gamma delta epsilon zeta eta theta.\nrecord000849: alpha beta gamma delta epsilon zeta eta theta.\nrecord000850: alpha beta gamma delta epsilon zeta eta theta.\nrecord000851: alpha beta gamma delta epsilon zeta eta theta.\nrecord000852: alpha beta gamma delta epsilon zeta eta theta.\nrecord000853: alpha beta gamma delta epsilon zeta eta theta.\nrecord000854: alpha beta gamma delta epsilon zeta eta theta.\nrecord000855: alpha beta gamma delta epsilon zeta eta theta.\nrecord000856: alpha beta gamma delta epsilon zeta eta theta.\nrecord000857: alpha beta gamma delta epsilon zeta eta theta.\nrecord000858: alpha beta gamma delta epsilon zeta eta theta.\nReturn only a JSON object containing north and south and their values."}], "tools": null, "final_answer": "{\n \"north\": \"N-124\",\n \"south\": \"S-875\"\n}", "reasoning": "We need answer user's request. User gave a long text with records and lines:\n[case sanity-R4]\n...\nnorth = N-124\n...\nsouth = S-875\n...\nReturn only a JSON object containing north and south and their values.\nNeed output JSON only. Need parse values: north = N-124, south = S-875. Ensure JSON object containing north and south and their values. Probably {\"north\":\"N-124\",\"south\":\"S-875\"}.\nNeed final only JSON. No extra. Ensure no markdown.\n", "tool_calls": [], "finish_reason": "stop", "usage": {"prompt_tokens": 16390, "completion_tokens": 160, "total_tokens": 16550, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 16390, "prompt_ms": 2858.4, "prompt_per_token_ms": 0.174, "prompt_per_second": 5734.0, "predicted_n": 160, "predicted_ms": 866.8, "predicted_per_token_ms": 5.417, "predicted_per_second": 184.6, "draft_n": 123, "draft_n_accepted": 104}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 3.745133, "first_delta": {"offset_s": 2.88621, "kind": "reasoning"}, "first_answer_offset_s": 3.620217, "client_events": [[2.88621, "reasoning"], [2.906472, "reasoning"], [2.906498, "reasoning"], [2.906515, "reasoning"], [2.906555, "reasoning"], [2.915062, "reasoning"], [2.915088, "reasoning"], [2.915106, "reasoning"], [2.928169, "reasoning"], [2.941892, "reasoning"], [2.954623, "reasoning"], [2.967308, "reasoning"], [2.983204, "reasoning"], [2.983229, "reasoning"], [2.991303, "reasoning"], [2.991328, "reasoning"], [3.012177, "reasoning"], [3.012203, "reasoning"], [3.025074, "reasoning"], [3.045463, "reasoning"], [3.045488, "reasoning"], [3.045505, "reasoning"], [3.045546, "reasoning"], [3.052739, "reasoning"], [3.052765, "reasoning"], [3.052835, "reasoning"], [3.068364, "reasoning"], [3.068389, "reasoning"], [3.089596, "reasoning"], [3.089645, "reasoning"], [3.089682, "reasoning"], [3.089755, "reasoning"], [3.098185, "reasoning"], [3.09821, "reasoning"], [3.098228, "reasoning"], [3.098272, "reasoning"], [3.119978, "reasoning"], [3.120003, "reasoning"], [3.140618, "reasoning"], [3.140643, "reasoning"], [3.140673, "reasoning"], [3.140707, "reasoning"], [3.149061, "reasoning"], [3.149086, "reasoning"], [3.149115, "reasoning"], [3.149152, "reasoning"], [3.161995, "reasoning"], [3.162021, "reasoning"], [3.172497, "reasoning"], [3.172522, "reasoning"], [3.172539, "reasoning"], [3.172577, "reasoning"], [3.186545, "reasoning"], [3.207613, "reasoning"], [3.207638, "reasoning"], [3.207736, "reasoning"], [3.228822, "reasoning"], [3.228847, "reasoning"], [3.24783, "reasoning"], [3.247856, "reasoning"], [3.247885, "reasoning"], [3.263448, "reasoning"], [3.263474, "reasoning"], [3.27324, "reasoning"], [3.273266, "reasoning"], [3.273284, "reasoning"], [3.273324, "reasoning"], [3.287902, "reasoning"], [3.302749, "reasoning"], [3.323366, "reasoning"], [3.323391, "reasoning"], [3.323409, "reasoning"], [3.323446, "reasoning"], [3.332112, "reasoning"], [3.332138, "reasoning"], [3.332155, "reasoning"], [3.332191, "reasoning"], [3.35423, "reasoning"], [3.354255, "reasoning"], [3.354273, "reasoning"], [3.35431, "reasoning"], [3.362912, "reasoning"], [3.362937, "reasoning"], [3.362954, "reasoning"], [3.362988, "reasoning"], [3.37911, "reasoning"], [3.379136, "reasoning"], [3.399761, "reasoning"], [3.415784, "reasoning"], [3.415809, "reasoning"], [3.436516, "reasoning"], [3.436542, "reasoning"], [3.436559, "reasoning"], [3.436596, "reasoning"], [3.45738, "reasoning"], [3.457406, "reasoning"], [3.457423, "reasoning"], [3.457471, "reasoning"], [3.47595, "reasoning"], [3.475975, "reasoning"], [3.496451, "reasoning"], [3.496476, "reasoning"], [3.496494, "reasoning"], [3.496533, "reasoning"], [3.505079, "reasoning"], [3.505105, "reasoning"], [3.505123, "reasoning"], [3.505161, "reasoning"], [3.52786, "reasoning"], [3.527887, "reasoning"], [3.527904, "reasoning"], [3.527943, "reasoning"], [3.536469, "reasoning"], [3.536494, "reasoning"], [3.536511, "reasoning"], [3.536549, "reasoning"], [3.546445, "reasoning"], [3.553677, "reasoning"], [3.553702, "reasoning"], [3.569364, "reasoning"], [3.569389, "reasoning"], [3.569406, "reasoning"], [3.569448, "reasoning"], [3.591112, "reasoning"], [3.591138, "reasoning"], [3.591155, "reasoning"], [3.612069, "reasoning"], [3.612095, "reasoning"], [3.612134, "reasoning"], [3.612172, "reasoning"], [3.620217, "answer"], [3.640835, "answer"], [3.64086, "answer"], [3.640895, "answer"], [3.661273, "answer"], [3.661314, "answer"], [3.661351, "answer"], [3.661385, "answer"], [3.669652, "answer"], [3.669686, "answer"], [3.669734, "answer"], [3.669772, "answer"], [3.690514, "answer"], [3.690556, "answer"], [3.690594, "answer"], [3.710977, "answer"], [3.711021, "answer"], [3.711058, "answer"], [3.711092, "answer"], [3.719633, "answer"], [3.719677, "answer"], [3.719712, "answer"], [3.719759, "answer"], [3.740196, "answer"]]} +{"request_id": "sanity-T1", "phase": "sanity", "case_id": "T1", "request": {"stream": true, "stream_options": {"include_usage": true}, "max_tokens": 2048, "seed": 1, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}, "tool_choice": "auto"}, "messages": [{"role": "user", "content": "[case sanity-T1]\nUse lookup_record to look up record A-17."}], "tools": [{"type": "function", "function": {"name": "lookup_record", "description": "Synthetic benchmark lookup; no external action is performed.", "parameters": {"type": "object", "properties": {"id": {"type": "string"}}, "required": ["id"], "additionalProperties": false}}}], "final_answer": "", "reasoning": "The user wants me to look up record A-17 using the lookup_record tool. This is a simple, straightforward request. I'll make the call.\n", "tool_calls": [{"id": "call_934cba6b4a6f4675ad76dcaa", "name": "lookup_record", "arguments": "{\"id\":\"A-17\"}"}], "finish_reason": "tool_calls", "usage": {"prompt_tokens": 325, "completion_tokens": 64, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 325, "prompt_ms": 377.4, "prompt_per_token_ms": 1.161, "prompt_per_second": 861.2, "predicted_n": 64, "predicted_ms": 303.9, "predicted_per_token_ms": 4.748, "predicted_per_second": 210.6, "draft_n": 56, "draft_n_accepted": 43}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 0.687568, "first_delta": {"offset_s": 0.394757, "kind": "reasoning"}, "first_answer_offset_s": 0.600096, "client_events": [[0.394757, "reasoning"], [0.413468, "reasoning"], [0.413498, "reasoning"], [0.432056, "reasoning"], [0.432086, "reasoning"], [0.432129, "reasoning"], [0.432169, "reasoning"], [0.437832, "reasoning"], [0.457492, "reasoning"], [0.457523, "reasoning"], [0.457566, "reasoning"], [0.457606, "reasoning"], [0.465204, "reasoning"], [0.465224, "reasoning"], [0.465284, "reasoning"], [0.465319, "reasoning"], [0.482115, "reasoning"], [0.482141, "reasoning"], [0.48217, "reasoning"], [0.500801, "reasoning"], [0.500826, "reasoning"], [0.500855, "reasoning"], [0.500894, "reasoning"], [0.520205, "reasoning"], [0.520231, "reasoning"], [0.520259, "reasoning"], [0.520302, "reasoning"], [0.527588, "reasoning"], [0.54674, "reasoning"], [0.565806, "reasoning"], [0.565831, "reasoning"], [0.565865, "reasoning"], [0.565908, "reasoning"], [0.600096, "tool_call"], [0.600127, "tool_call"], [0.631403, "tool_call"], [0.631431, "tool_call"], [0.631477, "tool_call"], [0.631522, "tool_call"], [0.638964, "tool_call"], [0.638991, "tool_call"], [0.687494, "tool_call"], [0.687526, "tool_call"]]} +{"request_id": "sanity-T2", "phase": "sanity", "case_id": "T2", "request": {"stream": true, "stream_options": {"include_usage": true}, "max_tokens": 2048, "seed": 1, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}, "tool_choice": "auto"}, "messages": [{"role": "user", "content": "[case sanity-T2]\nUse get_weather for Zagreb in celsius."}], "tools": [{"type": "function", "function": {"name": "get_weather", "description": "Synthetic benchmark lookup; no external action is performed.", "parameters": {"type": "object", "properties": {"city": {"type": "string"}, "unit": {"type": "string"}}, "required": ["city", "unit"], "additionalProperties": false}}}], "final_answer": "", "reasoning": "The user wants me to call get_weather for Zagreb in celsius. Simple single call.\n", "tool_calls": [{"id": "call_b3325b2b8ace45a491857efa", "name": "get_weather", "arguments": "{\"city\":\"Zagreb\",\"unit\":\"celsius\"}"}], "finish_reason": "tool_calls", "usage": {"prompt_tokens": 335, "completion_tokens": 63, "total_tokens": 398, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 335, "prompt_ms": 262.8, "prompt_per_token_ms": 0.784, "prompt_per_second": 1274.7, "predicted_n": 63, "predicted_ms": 290.3, "predicted_per_token_ms": 4.608, "predicted_per_second": 217.0, "draft_n": 54, "draft_n_accepted": 43}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 0.558252, "first_delta": {"offset_s": 0.279497, "kind": "reasoning"}, "first_answer_offset_s": 0.443969, "client_events": [[0.279497, "reasoning"], [0.299023, "reasoning"], [0.299044, "reasoning"], [0.299091, "reasoning"], [0.3187, "reasoning"], [0.318721, "reasoning"], [0.318767, "reasoning"], [0.337819, "reasoning"], [0.337849, "reasoning"], [0.337898, "reasoning"], [0.356636, "reasoning"], [0.356657, "reasoning"], [0.356706, "reasoning"], [0.356747, "reasoning"], [0.364226, "reasoning"], [0.383876, "reasoning"], [0.396825, "reasoning"], [0.417176, "reasoning"], [0.417201, "reasoning"], [0.417236, "reasoning"], [0.443969, "tool_call"], [0.444001, "tool_call"], [0.468597, "tool_call"], [0.468626, "tool_call"], [0.468646, "tool_call"], [0.47626, "tool_call"], [0.476287, "tool_call"], [0.504457, "tool_call"], [0.50449, "tool_call"], [0.504501, "tool_call"], [0.521459, "tool_call"], [0.521488, "tool_call"], [0.558176, "tool_call"], [0.55821, "tool_call"]]} +{"request_id": "sanity-T3", "phase": "sanity", "case_id": "T3", "request": {"stream": true, "stream_options": {"include_usage": true}, "max_tokens": 2048, "seed": 1, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}, "tool_choice": "auto"}, "messages": [{"role": "user", "content": "[case sanity-T3]\nUse convert_units to convert 3 km to m."}], "tools": [{"type": "function", "function": {"name": "convert_units", "description": "Synthetic benchmark lookup; no external action is performed.", "parameters": {"type": "object", "properties": {"value": {"type": "number"}, "from_unit": {"type": "string"}, "to_unit": {"type": "string"}}, "required": ["value", "from_unit", "to_unit"], "additionalProperties": false}}}], "final_answer": "", "reasoning": "The user wants me to use the convert_units tool to convert 3 km to m.\n", "tool_calls": [{"id": "call_a953797a47224d4dafcab862", "name": "convert_units", "arguments": "{\"to_unit\":\"m\",\"value\":3,\"from_unit\":\"km\"}"}], "finish_reason": "tool_calls", "usage": {"prompt_tokens": 352, "completion_tokens": 73, "total_tokens": 425, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 352, "prompt_ms": 263.8, "prompt_per_token_ms": 0.749, "prompt_per_second": 1334.3, "predicted_n": 73, "predicted_ms": 283.7, "predicted_per_token_ms": 3.886, "predicted_per_second": 257.3, "draft_n": 57, "draft_n_accepted": 53}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 0.552349, "first_delta": {"offset_s": 0.2797, "kind": "reasoning"}, "first_answer_offset_s": 0.39119, "client_events": [[0.2797, "reasoning"], [0.298803, "reasoning"], [0.298852, "reasoning"], [0.298894, "reasoning"], [0.318042, "reasoning"], [0.318099, "reasoning"], [0.318141, "reasoning"], [0.318182, "reasoning"], [0.325656, "reasoning"], [0.325705, "reasoning"], [0.325746, "reasoning"], [0.325785, "reasoning"], [0.342634, "reasoning"], [0.342684, "reasoning"], [0.34275, "reasoning"], [0.342779, "reasoning"], [0.350331, "reasoning"], [0.350377, "reasoning"], [0.35042, "reasoning"], [0.39119, "tool_call"], [0.391211, "tool_call"], [0.418685, "tool_call"], [0.418705, "tool_call"], [0.418781, "tool_call"], [0.467552, "tool_call"], [0.467573, "tool_call"], [0.512495, "tool_call"], [0.512514, "tool_call"], [0.512532, "tool_call"], [0.520071, "tool_call"], [0.5522, "tool_call"], [0.552256, "tool_call"]]} +{"request_id": "sanity-T4", "phase": "sanity", "case_id": "T4", "request": {"stream": true, "stream_options": {"include_usage": true}, "max_tokens": 2048, "seed": 1, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}, "tool_choice": "auto"}, "messages": [{"role": "user", "content": "[case sanity-T4]\nUse get_build_status for project Orion, build 17."}], "tools": [{"type": "function", "function": {"name": "get_build_status", "description": "Synthetic benchmark lookup; no external action is performed.", "parameters": {"type": "object", "properties": {"project": {"type": "string"}, "build": {"type": "integer"}}, "required": ["project", "build"], "additionalProperties": false}}}], "final_answer": "", "reasoning": "The user wants me to call get_build_status for project Orion, build 17. 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[case concurrency-r1-c1]\" Need likely provide concise explanation. Need maybe note concurrency-r1-c1? Could be case ID maybe not relevant. Need explain hash table find: compute hash(key), index, compare stored key, if collision handle (chaining or open addressing) and probe/check. Example small: hash table size 5, hash(key)=key mod 5, store \"apple\" maybe hash 1; \"banana\" hash? Need collisions: size 5: hash(key) = key % 5 for strings? Too arbitrary. Use integer keys 3 and 8 both hash 0 mod 4. Find 8: hash 8%4=0 bucket 0, compare stored keys; if chain, check 3 then 8. Or with open addressing linear probe: insert 5 into bucket 1 collision, probe next. Need include concurrency? The case concurrency-r1-c1 maybe asks concurrency? But question only hash table finds value. Maybe case ID indicates scenario? Could be from evaluation where need respond maybe with concurrency caveat? \"case concurrency-r1-c1\" might mean they expect mention if concurrent access? It says Explain how a hash table finds a value, including collisions and one small example. We can include short note: if concurrent, need synchronization or concurrent structure; hash function must be deterministic; but basic lookup doesn't depend on concurrency. Since case has concurrency-r1 maybe maybe they want concurrency issue? The prompt explicitly: [case concurrency-r1-c1] Explain... Could be hidden requirement to answer with a specific structure? But no extra. Let's think: It's a simple algorithm explanation. Need final only. Need be thorough but not too long. Include steps: compute hash, reduce to bucket index, access bucket, compare full keys; if collision: chaining traverses linked list/array; open addressing probes sequence until empty or matching key. Example: table size 4, hash(k)=k % 4. Insert 12 -> bucket0; insert 8 -> bucket0 collision -> chain. Lookup 8: hash=0, inspect chain [12,8], matches 8 return value. Mention if not found until null/empty. Also mention load factor? maybe not necessary. Concurrency note optional: Under concurrent reads/writes, lookup needs memory visibility/locks or lock-free concurrent hash table. 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hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table finds a value using the key’s hash code:\n\n1. **Hash the key**: Compute a hash value from the key, e.g. `hash(key)`.\n2. **Map to a bucket**: Use the hash to choose a bucket, often `hash(key) % bucket_count`.\n3. **Search the bucket**: Compare the target key with keys stored in that bucket.\n4. **Return the value**: If the key matches, return the associated value.\n\n**Collisions** occur when two keys hash to the same bucket. Common solutions:\n- **Separate chaining**: each bucket stores a linked list or array of key/value pairs.\n- **Open addressing**: if a bucket is occupied, probe another bucket until an empty one is found.\n\n**Small example**:\n\nInsert:\n```text\nput(\"apple\", 1)\nput(\"banana\", 2)\nput(\"orange\", 3)\n```\n\nAssume `\"apple\"` and `\"orange\"` both hash to bucket 2.\n\nBucket 2:\n```text\n(\"apple\", 1) -> (\"orange\", 3)\n```\n\nLookup:\n```text\nget(\"orange\")\n```\n\nThe table hashes `\"orange\"` to bucket 2, then compares the keys in that bucket:\n- `\"apple\"` ≠ `\"orange\"`\n- `\"orange\"` = `\"orange\"`\n\nReturns:\n```text\n3\n```", "reasoning": "We need answer user: \"Explain how a hash table finds a value, including collisions and one small example.\n\nNeed provide concise but clear. Maybe mention hash function, bucket, compare key, collisions chaining/open addressing, probe/linked list. Small example. No need overly complex. Ensure case concurrency-r1-c2? Maybe maybe expects something about concurrency? The label case concurrency-r1-c2 perhaps from eval? Could require mention thread safety? User specifically asks hash table finds value, collisions example. We can include note that standard lookup needs synchronization in concurrent environments? But not requested. Maybe include small example. 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"seed": 3, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}}, "messages": [{"role": "user", "content": "[case concurrency-r1-c3]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table stores key-value pairs by using a hash function to map a key to an array index.\n\n### How lookup works\n\n1. **Hash the key** \n The key is passed to a hash function, producing an integer.\n\n2. **Find the bucket/index** \n That integer is reduced to an array index, usually with modulo:\n \\[\n index = hash(key) \\mod tableSize\n \\]\n\n3. **Go to that index** \n The table looks at the bucket at that index.\n\n4. **Compare keys** \n If the bucket contains a stored key, the table compares it with the requested key. If the keys match, it returns the associated value.\n\n### Collisions\n\nA collision happens when two different keys produce the same index.\n\nCommon solutions:\n\n- **Separate chaining**: each bucket stores multiple entries, often in a linked list or array.\n- **Open addressing**: if a bucket is full, the table searches for the next available slot using a probe sequence.\n\n### Small example\n\nSuppose we have a hash table of size 3 and use a simple hash:\n\n```text\nhash(\"apple\") % 3 = 0\nhash(\"banana\") % 3 = 1\nhash(\"cherry\") % 3 = 0\n```\n\nInserting:\n\n```text\nindex 0: (\"apple\", 1)\nindex 1: (\"banana\", 2)\n```\n\nNow insert `(\"cherry\", 3)`. Its hash is also 0, causing a collision.\n\nUsing separate chaining:\n\n```text\nindex 0: (\"apple\", 1) -> (\"cherry\", 3)\nindex 1: (\"banana\", 2)\n```\n\nNow, to find `\"cherry\"`:\n\n1. Hash `\"cherry\"` → index 0\n2. Go to index 0\n3. Check `\"apple\"` → not a match\n4. Check `\"cherry\"` → match\n5. Return value `3`", "reasoning": "We need answer user: \"[case concurrency-r1-c3]\nExplain how a hash table finds a value, including collisions and one small example.\"\n\nNeed provide concise but thorough. Probably mention hash function, index, buckets, compare key, collisions via chaining/open addressing, example. Also maybe concurrency? case id maybe irrelevant. 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To find a value, it follows these steps:\n\n1. **Hash the key** \n The table applies a hash function to the key to compute an index, or bucket, in the array.\n\n2. **Go to that bucket** \n The computed index tells the hash table where the value might be stored.\n\n3. **Check the entry or entries in the bucket** \n - If the bucket contains a key equal to the searched key, the table returns the associated value.\n - If the bucket contains multiple keys, it compares them until it finds a match.\n - If no match is found, the key is not present.\n\n## Handling collisions\n\nA collision happens when two different keys hash to the same bucket.\n\nCommon solutions:\n\n- **Separate chaining:** each bucket holds a list of key-value pairs. The table searches the list for the matching key.\n- **Open addressing:** if the desired bucket is occupied, the table looks for another empty slot according to a probing rule, such as linear probing or quadratic probing.\n\n## Small example\n\nSuppose a hash table has 4 buckets: `[0, 1, 2, 3]`.\n\nWe store:\n\n```text\nput(\"apple\", 10)\nput(\"banana\", 20)\nput(\"cherry\", 30)\n```\n\nAssume the hash function produces:\n\n```text\nhash(\"apple\") % 4 = 1\nhash(\"banana\") % 4 = 1\nhash(\"cherry\") % 4 = 3\n```\n\nWith chaining, the buckets look like:\n\n```text\nbucket 0: empty\nbucket 1: (\"apple\", 10) -> (\"banana\", 20)\nbucket 2: empty\nbucket 3: (\"cherry\", 30)\n```\n\nTo find", "reasoning": "We need to answer user's request: \"[case concurrency-r1-c4]\nExplain how a hash table finds a value, including collisions and one small example.\"\n\nNeed produce final answer. Need likely no complex. User wants explanation. Could mention steps: hash key to bucket, check entries, collisions handled by chaining or open addressing. Small example. Need likely concise. Also tag case? Maybe ignore? Ensure no concurrency mention? Case concurrency-r1-c4 maybe just benchmark id. 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how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table finds a value by using the **key** to compute an index into an array-like table.\n\nSteps:\n\n1. **Hash the key**\n - Apply a hash function to the key to get an integer.\n\n2. **Map to a bucket/index**\n - Convert that integer into a valid table index, often using:\n ```text\n index = hash(key) % table_size\n ```\n\n3. **Look in that bucket**\n - Go directly to that index.\n\n4. **Compare keys**\n - If the bucket contains stored keys, compare them with the search key until one matches, then return its value.\n\n## Collisions\n\nA **collision** happens when two different keys hash to the same index.\n\nCommon handling methods:\n\n- **Separ", "reasoning": "We need answer user: \"Explain how a hash table finds a value, including collisions and one small example. Need produce final answer concise but thorough. Ensure mention hashing key to bucket/index, probing chaining, collisions when multiple keys same index, handle via separate chaining/open addressing, lookup follows bucket and compares keys. Small example: hash function sum chars mod 5 or mod table size. Keys \"cat\", \"dog\" collision? Need show. Could use table size 7, hash(key)= (first letter code mod 7?) Simpler: hash(key)=len(key) mod 5? collisions maybe. Or hash(\"cat\")=3? Need show value retrieval. Example: table size 5, hash(k)= (first character index?) Let's design simple deterministic. Use mod 3 maybe.\n\nLet's craft final: Steps: compute hash code, map to array index, access bucket, compare keys, return value. Collisions: different keys same index; separate chaining stores linked list/array per bucket; open addressing searches neighboring slots. Example table size 5 hash(k)= (sum chars) mod 5. \"cat\" c=3,a=1,t=20 sum 24 mod5=4. \"act\" sum 24 also index4 collision. Store chain at index4 [cat -> value A, act -> value B]. Find \"act\": hash to 4, walk chain compare keys, match act return B. Find missing: hash to 4 compare none return null. Need maybe mention performance average O(1), worst O(n) if many collisions, load factor/rehash.\n\nNeed final with headings? 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"user", "content": "[case concurrency-r2-c2]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table finds a value by turning the key into an array index and then checking the slot at that index.\n\n1. **Hash the key**: The hash table applies a hash function to the key, producing a number.\n Example: `hash(\"apple\")` might produce `1024`.\n\n2. **Convert to an index**: It usually uses the remainder when divided by the table size.\n Example: table size = 10 \n `1024 % 10 = 4` \n So it checks bucket 4.\n\n3. **Look in the bucket**: If the bucket contains an entry with the same key, it returns the associated value. If not, the key is not present, unless there are collisions.\n\n**Collisions** happen when two different keys hash to the same index.\n\nCommon handling methods:\n- **Chaining**: Each bucket stores a list of key/value pairs. On lookup, it searches the list for the exact key.\n- **Open addressing**: If a bucket is taken, the table searches for the next available slot using a probe sequence.\n\n**Small example using chaining**:\n\nTable size = 5\n\n```text\ninsert(\"cat\", 10) -> hash = 3\ninsert(\"dog\", 20) -> hash = 3 collision\ninsert(\"bat\", 30) -> hash = 3 collision\n```\n\nBucket 3 might store:\n\n```text\ncat: 10 -> dog: 20 -> bat: 30\n```\n\nTo find `\"dog\"`:\n\n1. Hash `\"dog\"` to index 3.\n2. Check bucket 3.\n3. Compare `\"dog\"` with stored keys.\n4. Return `20`.", "reasoning": "We need answer user: \"Explain how a hash table finds a value, including collisions and one small example.\" Need produce final. Keep concise but thorough. 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{"include_usage": true}, "max_tokens": 512, "seed": 7, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}}, "messages": [{"role": "user", "content": "[case concurrency-r2-c3]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table stores key-value pairs and finds a value using the key.\n\n1. **Hash the key**: The hash table applies a hash function to the key to produce an integer.\n ```text\n index = hash(key) % number_of_buckets\n ```\n This index tells the hash table which bucket to look in.\n\n2. **Go to the bucket**: The hash table jumps directly to that bucket, usually in O(1) average time.\n\n3. **Find the value in the bucket**:\n - If there is no collision, the bucket contains the value directly.\n - If multiple keys hash to the same bucket, the table checks the keys in that bucket until it finds the matching key, then returns its value.\n\n## Collisions\n\nA **collision** happens when two different keys produce the same index.\n\nExample:\n\n```text\nhash(\"apple\") % 4 = 2\nhash(\"banana\") % 4 = 2\n```\n\nBoth `\"apple\"` and `\"banana\"` go to bucket 2.\n\nA common collision strategy is **chaining**, where each bucket stores a small list of entries.\n\n### Small example\n\nBucket structure:\n\n```text\n0: []\n1: []\n2: [(\"apple\", 10), (\"banana\", 20)]\n3: []\n```\n\nTo find the value for `\"banana\"`:\n\n1. Compute the bucket index:\n ```text\n hash(\"banana\") % 4 = 2\n ```\n\n2. Look in bucket 2.\n\n3. Check the entries in bucket 2:\n - key `\"apple\"` does not match.\n - key `\"banana\"` matches.\n\n4. Return the associated value:\n ```text\n 20\n ```\n\nSo a hash table finds a value by hashing the key to an index, checking the appropriate bucket, and resolving collisions if multiple keys map to the same bucket.", "reasoning": "We need answer user: \"Explain how a hash table finds a value, including collisions and one small example.\" We need respond final with explanation. Need be clear. Mention hashing key to index, array bucket, find value. Collisions handled chaining/open addressing. Small example maybe keys 'apple','banana','cherry' with simple hash length? Need include collisions. 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"request": {"stream": true, "stream_options": {"include_usage": true}, "max_tokens": 512, "seed": 8, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}}, "messages": [{"role": "user", "content": "[case concurrency-r2-c4]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table finds a value by using the key to compute a bucket index, then searching only that bucket for the key.\n\n1. **Compute a hash**: The key is passed through a hash function to produce an integer.\n2. **Map to a bucket**: That integer is converted to a table index, usually with `hash(key) % table_size`.\n3. **Check the bucket**: The table looks in that bucket for a matching key.\n4. **Return the value**: If the key is found, return its value. If not found, report that the key is absent.\n\n### Collisions\n\nTwo different keys can produce the same bucket index. This is a **collision**.\n\nCommon collision strategies:\n\n- **Separate chaining**: Each bucket stores a linked list, array, or other container of key-value pairs.\n- **Open addressing**: If the bucket is occupied, the table probes for another slot, such as the next bucket.\n\n### Small example\n\nTable size = 7, hash function = `key % 7`\n\nInsert:\n\n```text\n25 -> hash = 25 % 7 = 4\n11 -> hash = 11 % 7 = ", "reasoning": "We need answer user: \"[case concurrency-r2-c4]\nExplain how a hash table finds a value, including collisions and one small example.\"\n\nNeed produce final answer. Need maybe consider concurrency tag? case concurrency-r2-c4 maybe perhaps test case for concurrency? The request just asks explain hash table finds value, including collisions and example. Maybe need mention concurrency? Tag says concurrency-r2-c4. Could be from benchmark expecting answer maybe with concurrency concerns? We can include note about concurrent access. But main is hash table lookup.\n\nNeed concise but thorough. Explain hashing key to index, bucket, compare keys, collisions (same hash) handled via chaining or open addressing, lookup traverses/probes until key found or empty/sentinel. Example: table size 7, hash(k)=k%7, keys 25, 11 collide? 25%7=4, 11%7=4. Use chaining. Get 11: hash 11=4, bucket contains 25 then 11, compare found. Include concurrency note: without synchronization concurrent inserts/deletes/rehash can cause incorrect reads; use concurrent data structure/locks.\n\nNeed maybe mention load factor/rehash. 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an index:\n\n1. **Hash the key**: Compute a hash code from the key, e.g. `hash(\"name\")`.\n2. **Map to a bucket**: Convert the hash into an array index, often `hash % table_size`.\n3. **Look up the bucket**: Check the value stored there.\n\n**Collisions** happen when two different keys hash to the same index. Common fixes:\n\n- **Separate chaining**: each bucket stores a small list of key-value pairs.\n- **Open addressing**: if the slot is full, probe for another slot.\n\n**Small example:**\n\nTable size = 5\n\n- Insert `\"apple\"` → hash gives index 2 → store at bucket 2\n- Insert `\"banana\"` → hash also gives index 2 → collision\n\nWith chaining, bucket 2 becomes:\n\n```text\nbucket 2: (\"apple\" -> 5), (\"banana\" -> 10)\n```\n\nTo find `\"banana\"`, hash it to bucket 2, then search the bucket’s list until the key matches.", "reasoning": "We need answer user: \"Explain how a hash table finds a value, including collisions and one small example.\n\nNeed produce final explanation concise. Include hashing key to index, bucket, direct array lookup, collisions (separate chaining/open addressing), example. Need likely not overdo. 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Need likely address concurrency? The tag case concurrency-r3-c2 maybe hidden? User asks explain hash table finds a value, including collisions and example. Might need mention concurrency? The case tag maybe indicates context? Could be from some evaluation requiring concise? Need maybe mention thread safety? Let's parse: \"[case concurrency-r3-c2] Explain how a hash table finds a value, including collisions and one small example.\" Maybe they expect answer for hash table lookup under concurrency? Could include that normal hash table isn't thread-safe, concurrent hash table needed. But prompt says \"including collisions and one small example\" not explicitly concurrency. Tag concurrency-r3-c2 suggests maybe test case category concurrency; maybe need explain while being careful about concurrency? The instruction \"Explain how a hash table finds a value\" could require mention lock-free/concurrent safe? Let's think.\n\nNeed final maybe: A hash table maps keys to values. To find, hash key to bucket index; go to bucket; if direct chaining, scan entries in bucket comparing keys; if open addressing, probe sequence until empty/sentinel or match. Collisions happen when different keys hash to same index; handled by chaining, open addressing, robin hood etc. If concurrent, lookups can be concurrent but updates require synchronization; readers may need locks/atomic reads/volatile/immutable snapshots; avoid data races. Example: table size 7, hash(k)=k mod 7. Put 5 in bucket 5; put 12 -> bucket 5 collision. With chaining bucket 5 has [5->V5, 12->V12]. Find 12: hash=5, traverse list compare 5 != 12 then 12 == 12 return V12.\n\nNeed possibly include if using concurrent: in a concurrent hash table, lookup may traverse bucket without lock if structure safe; but insertion can resize causing concurrent readers to handle old buckets. But user didn't ask. Tag maybe should include. Need not overdo.\n\nNeed ensure answer addresses \"how finds a value\" step by step. 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"chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}}, "messages": [{"role": "user", "content": "[case concurrency-r3-c3]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table finds a value in a few steps:\n\n1. **Hash the key**\n - The key is passed through a hash function to produce a numeric hash code.\n - Example: `hash(\"apple\") → 17`.\n\n2. **Choose a bucket**\n - The hash code is mapped to an array index, often using something like `index = hash_code % array_length`.\n - Example: with 10 buckets, `17 % 10 = 7`, so look in bucket 7.\n\n3. **Search the bucket**\n - If the bucket contains exactly the key, return the associated value.\n - If not, handle collisions.\n\n**Collisions** happen when two different keys hash to the same bucket.\n\nCommon ways to handle them:\n\n- **Separate chaining**\n - Each bucket holds a list of key/value pairs.\n - To find a value, search that list and compare keys directly.\n - Example: both `\"apple\"` and `\"banana\"` hash to bucket 7.\n - Bucket 7: `[(\"apple\", 1), (\"banana\", 2)]", "reasoning": "We need answer user: \"[case concurrency-r3-c3]\nExplain how a hash table finds a value, including collisions and one small example.\"\n\nNeed produce final answer. Need maybe consider concurrency tag? case concurrency-r3-c3 maybe asks explain hash table finds value, collisions, example. Could include concurrency? Title concurrency maybe case concurrency? User only asks explain hash table finds value including collisions and one small example. Need concise but thorough. Could mention lock/sharding if concurrent? The bracket [case concurrency-r3-c3] might be a benchmark id, not necessarily require concurrency. But maybe should address concurrency: if multiple threads, need synchronization (mutex/read-write locks or concurrent map). But prompt asks explain how hash table finds a value, including collisions and small example. Let's craft clear: hash key -> bucket index via hash function modulo bucket array. Look up bucket. If separate chaining collision, traverse linked list/equality compare key. If open addressing, probe sequence. Small example: keys \"apple\" hash=..., bucket 3; insert \"banana\" collides same bucket; lookup \"banana\" hash to bucket 3, compare nodes, matches. Maybe concurrency: in multithreaded, lock bucket/map during resize etc. Need ensure no overcomplication. 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To find a value:\n\n1. Take the key.\n2. Apply a hash function to compute an array index.\n3. Go to that index’s bucket.\n4. Check stored entries for the requested key.\n5. If the key matches, return its value.\n\nCollisions happen when two keys hash to the same index.\n\nCommon collision handling:\n- Separate chaining: each bucket stores multiple entries, often in a small list.\n- Open addressing: if the bucket is taken, try the next slot using a probe sequence.\n\nExample:\n- Hash table size: 5\n- Hash function: `key % 5`\n- Insert `10 → \"apple\"`: `10 % 5 = 0`\n- Insert `15 → \"banana\"`: `15 % 5 = 0`, collision at index 0\n\nIf using separate chaining, index 0 holds both pairs:\n`[0] -> (10, \"apple\") -> (15, \"banana\")`\n\nTo find `15`:\n- Hash: `15 % 5 = 0`\n- Check index 0 entries\n- Match key `15`, return `\"banana\"`\n\nIf the hash table is shared across threads, access must be synchronized or use a thread-safe concurrent hash table.", "reasoning": "We need answer user: \"Explain how a hash table finds a value, including collisions and one small example. [case concurrency-r3-c4]\". Need likely include concurrency? The tag says case concurrency-r3-c4 maybe from benchmark. Need answer probably mention thread safety? User asks hash table finds value, including collisions and example. Could include concurrency caveat? Need maybe concise. Need final. Need ensure maybe if concurrency tag, mention if shared across threads use locks/concurrent structure. Need no code? Small example. Let's craft clear explanation: hash key to index, array bucket, compare key; collisions: open addressing or separate chaining; lookup follows same path. Example: table size 5, hash(k)=k mod5. Insert 10->idx0, 15 chain/open add next. Find 15 hash=0 then check chain until key match. Concurrency: need synchronization. Need maybe note value found by hash key not value. Ensure answer covers collisions and small example. 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b/bench/results/2026-11-08-standard-4x-rtx-3090-d8cef8bb/provenance/chat_template.jinja new file mode 100644 index 00000000000..a0877006589 --- /dev/null +++ b/bench/results/2026-11-08-standard-4x-rtx-3090-d8cef8bb/provenance/chat_template.jinja @@ -0,0 +1,184 @@ +{%- set image_count = namespace(value=0) %} +{%- set video_count = namespace(value=0) %} +{%- macro render_content(content, do_vision_count, is_system_content=false) %} + {%- if content is string %} + {{- content }} + {%- elif content is iterable and content is not mapping %} + {%- for item in content %} + {%- if 'image' in item or 'image_url' in item or item.type == 'image' %} + {%- if is_system_content %} + {{- raise_exception('System message cannot contain images.') }} + {%- endif %} + {%- if do_vision_count %} + {%- set image_count.value = image_count.value + 1 %} + {%- endif %} + {%- if add_vision_id %} + {{- 'Picture ' ~ image_count.value ~ ': ' }} + {%- endif %} + {{- '<|vision_start|><|image_pad|><|vision_end|>' }} + {%- elif 'video' in item or item.type == 'video' %} + {%- if is_system_content %} + {{- raise_exception('System message cannot contain videos.') }} + {%- endif %} + {%- if do_vision_count %} + {%- set video_count.value = video_count.value + 1 %} + {%- endif %} + {%- if add_vision_id %} + {{- 'Video ' ~ video_count.value ~ ': ' }} + {%- endif %} + {{- '<|vision_start|><|video_pad|><|vision_end|>' }} + {%- elif 'text' in item %} + {{- item.text }} + {%- else %} + {{- raise_exception('Unexpected item type in content.') }} + {%- endif %} + {%- endfor %} + {%- elif content is none or content is undefined %} + {{- '' }} + {%- else %} + {{- raise_exception('Unexpected content type.') }} + {%- endif %} +{%- endmacro %} +{%- if not messages %} + {{- raise_exception('No messages provided.') }} +{%- endif %} +{%- set sysns = namespace(count=0, text='') %} +{%- for message in messages %} + {%- if sysns.count == loop.index0 and (message.role == 'system' or message.role == 'developer') %} + {%- set sys_content = render_content(message.content, false, true)|trim %} + {%- if sys_content %} + {%- set sysns.text = sysns.text + ('\n' if sysns.text else '') + sys_content %} + {%- endif %} + {%- set sysns.count = sysns.count + 1 %} + {%- endif %} +{%- endfor %} +{%- set num_sys = sysns.count %} +{%- set merged_system = sysns.text %} +{%- set reasoning_instructions = '' %} +{%- if enable_thinking is undefined or enable_thinking is true %} + {%- set resolved_reasoning_effort = reasoning_effort|default('xhigh') %} + {%- if resolved_reasoning_effort == 'high' %} + {%- set resolved_reasoning_effort = 'xhigh' %} + {%- endif %} + {%- if resolved_reasoning_effort not in ('xhigh', 'medium', 'low') %} + {{- raise_exception('Unexpected reasoning effort ' ~ reasoning_effort ~ '. Supported types are xhigh (default), medium, and low.') }} + {%- endif %} + {%- if resolved_reasoning_effort == 'xhigh' %} + {%- set reasoning_instructions = 'Reasoning effort is set to xhigh. Please think carefully through the task, validate key assumptions, consider plausible alternatives, and prioritize correctness, consistency, and clarity in the final answer.' %} + {%- elif resolved_reasoning_effort == 'low' %} + {%- set reasoning_instructions = 'Reasoning effort is set to low. Keep your thinking brief and focused, moving directly to the conclusion without unnecessary elaboration.' %} + {%- endif %} +{%- endif %} +{%- if tools and tools is iterable and tools is not mapping %} + {{- '<|im_start|>system\n' }} + {%- if reasoning_instructions %} + {{- reasoning_instructions + '\n\n' }} + {%- endif %} + {{- "# Tools\n\nYou have access to the following functions:\n\n" }} + {%- for tool in tools %} + {{- "\n" }} + {{- tool | tojson }} + {%- endfor %} + {{- "\n" }} + {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n\n\n\nvalue_1\n\n\nThis is the value for the second parameter\nthat can span\nmultiple lines\n\n\n\n\n\nReminder:\n- Function calls MUST follow the specified format: an inner block must be nested within XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n' }} + {%- if merged_system %} + {{- '\n\n' + merged_system }} + {%- endif %} + {{- '<|im_end|>\n' }} +{%- else %} + {%- if merged_system %} + {{- '<|im_start|>system\n' + (reasoning_instructions + '\n\n' if reasoning_instructions else '') + merged_system + '<|im_end|>\n' }} + {%- elif reasoning_instructions %} + {{- '<|im_start|>system\n' + reasoning_instructions + '<|im_end|>\n' }} + {%- endif %} +{%- endif %} +{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %} +{%- for message in messages[::-1] %} + {%- set index = (messages|length - 1) - loop.index0 %} + {%- if ns.multi_step_tool and message.role == "user" %} + {%- set content = render_content(message.content, false)|trim %} + {%- if not(content.startswith('') and content.endswith('')) %} + {%- set ns.multi_step_tool = false %} + {%- set ns.last_query_index = index %} + {%- endif %} + {%- endif %} +{%- endfor %} +{%- for message in messages %} + {%- if loop.index0 >= num_sys %} + {%- set content = render_content(message.content, true)|trim %} + {%- if message.role == "system" or message.role == "developer" %} + {{- raise_exception('System message must be at the beginning.') }} + {%- elif message.role == "user" %} + {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }} + {%- elif message.role == "assistant" %} + {%- set reasoning_content = '' %} + {%- if message.reasoning_content is string %} + {%- set reasoning_content = message.reasoning_content %} + {%- endif %} + {%- set reasoning_content = reasoning_content|trim %} + {%- if preserve_thinking is undefined or preserve_thinking is true or loop.index0 > ns.last_query_index %} + {{- '<|im_start|>' + message.role + '\n\n' + reasoning_content + '\n\n\n' + content }} + {%- else %} + {{- '<|im_start|>' + message.role + '\n' + content }} + {%- endif %} + {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %} + {%- for tool_call in message.tool_calls %} + {%- if tool_call.function is defined %} + {%- set tool_call = tool_call.function %} + {%- endif %} + {%- if tool_call.name is not defined or tool_call.name is none %} + {{- raise_exception('Tool call is missing a function name.') }} + {%- endif %} + {%- if loop.first %} + {%- if content|trim %} + {{- '\n\n\n\n' }} + {%- else %} + {{- '\n\n' }} + {%- endif %} + {%- else %} + {{- '\n\n\n' }} + {%- endif %} + {%- if tool_call.arguments is mapping %} + {%- for args_name, args_value in tool_call.arguments|items %} + {{- '\n' }} + {%- set args_value = args_value | string if args_value is string else args_value | tojson | safe %} + {{- args_value }} + {{- '\n\n' }} + {%- endfor %} + {%- elif tool_call.arguments is string %} + {%- if tool_call.arguments|trim %} + {{- raise_exception('Tool call arguments for function "' + (tool_call.name | string) + '" were passed as a JSON string. Parse them into an object before calling apply_chat_template.') }} + {%- endif %} + {%- elif tool_call.arguments is defined and tool_call.arguments is not none %} + {{- raise_exception('Tool call arguments for function "' + (tool_call.name | string) + '" must be an object/mapping or a JSON string.') }} + {%- endif %} + {{- '\n' }} + {%- endfor %} + {%- endif %} + {{- '<|im_end|>\n' }} + {%- elif message.role == "tool" %} + {%- if loop.previtem and loop.previtem.role != "tool" %} + {{- '<|im_start|>user' }} + {%- endif %} + {{- '\n\n' }} + {{- content }} + {{- '\n' }} + {%- if not loop.last and loop.nextitem.role != "tool" %} + {{- '<|im_end|>\n' }} + {%- elif loop.last %} + {{- '<|im_end|>\n' }} + {%- endif %} + {%- else %} + {{- raise_exception('Unexpected message role.') }} + {%- endif %} + {%- endif %} +{%- endfor %} +{%- if add_generation_prompt %} + {{- '<|im_start|>assistant\n' }} + {%- if enable_thinking is defined and enable_thinking is false %} + {{- '\n\n\n\n' }} + {%- else %} + {{- '\n' }} + {%- endif %} +{%- endif %} +{#- Unsloth fixes - developer role, merged system messages, tool calling #} \ No newline at end of file diff --git a/bench/results/2026-11-08-standard-4x-rtx-3090-d8cef8bb/provenance/corpus-build.json b/bench/results/2026-11-08-standard-4x-rtx-3090-d8cef8bb/provenance/corpus-build.json new file mode 100644 index 00000000000..472565694c2 --- /dev/null +++ b/bench/results/2026-11-08-standard-4x-rtx-3090-d8cef8bb/provenance/corpus-build.json @@ -0,0 +1,206 @@ +{ + "protocol_id": "strata-qwen38-thinking-v1-draft.1", + "bundle": "standard-v1", + "profile": "qwen3.8-flash-next-thinking", + "tokenizer_files": { + "vocab.json": "4ba64f0332abcfb0b600b7df1537d1e836e68009d5fb7cdb77339738dc6365c4", + "merges.txt": "080cf95432173729d160346b7882bd2a644b07f7a3813a3eb73f4e66787bfde9", + "token_type.json": "5088c8c298fc06af8382ddb3b76c888703ac2634e82263b97eedcc2ad202738b" + }, + "template": { + "path": "serve/chat_template.jinja", + "sha256": "ae9644304511ef71f28e036b6f65b4c709880bc5a23b7d0b42125ec63a8c70ca" + }, + "template_kwargs": { + "enable_thinking": true, + "preserve_thinking": true, + "reasoning_effort": "xhigh" + }, + "record_format": "record{:06d}: alpha beta gamma delta epsilon zeta eta theta.", + "short_task": "Explain how a hash table finds a value, including collisions and one small example.", + "summary_question": "Summarize the structure of these records and explain how to look up a record by its ID.", + "record_counts": { + "prompt-4k": { + "records": 211, + "target_tokens": 4096 + }, + "prompt-16k": { + "records": 858, + "target_tokens": 16384 + } + }, + "length_tolerance": 0.02, + "requests": [ + { + "id": "warmup", + "input_tokens": 75, + "max_shared_prefix_tokens": 47 + }, + { + "id": "performance-short-r1", + "input_tokens": 77, + "max_shared_prefix_tokens": 50 + }, + { + "id": "performance-prompt-4k-r1", + "input_tokens": 4093, + "max_shared_prefix_tokens": 54 + }, + { + "id": 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"max_shared_prefix_tokens": 49 + }, + { + "id": "sanity-R1", + "input_tokens": 4089, + "max_shared_prefix_tokens": 49 + }, + { + "id": "sanity-R2", + "input_tokens": 4089, + "max_shared_prefix_tokens": 49 + }, + { + "id": "sanity-R3", + "input_tokens": 16382, + "max_shared_prefix_tokens": 49 + }, + { + "id": "sanity-R4", + "input_tokens": 16390, + "max_shared_prefix_tokens": 49 + }, + { + "id": "sanity-T1", + "input_tokens": 325, + "max_shared_prefix_tokens": 61 + }, + { + "id": "sanity-T2", + "input_tokens": 335, + "max_shared_prefix_tokens": 62 + }, + { + "id": "sanity-T3", + "input_tokens": 352, + "max_shared_prefix_tokens": 61 + }, + { + "id": "sanity-T4", + "input_tokens": 339, + "max_shared_prefix_tokens": 62 + }, + { + "id": "concurrency-r1-c1", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + }, + { + "id": "concurrency-r1-c2", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + }, + { + "id": "concurrency-r1-c3", + "input_tokens": 78, + "max_shared_prefix_tokens": 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request shares with any other request of the bundle: cache reuse above it means the user payload was read from the cache." +} diff --git a/bench/results/2026-11-08-standard-4x-rtx-3090-d8cef8bb/provenance/corpus-manifest.sha256 b/bench/results/2026-11-08-standard-4x-rtx-3090-d8cef8bb/provenance/corpus-manifest.sha256 new file mode 100644 index 00000000000..3c6046bc54c --- /dev/null +++ b/bench/results/2026-11-08-standard-4x-rtx-3090-d8cef8bb/provenance/corpus-manifest.sha256 @@ -0,0 +1,35 @@ +bc6c1f81d86863c3dc36a31f58010701d8ab05180f69f86c6978214409e43af2 build.json +f724855774dfbea89fade712a70d534a085c88cda6abc123db419fd79eefab49 requests/concurrency-r1-c1.json +2c85f877abbf144ca065c58efc2a7568aaf2c8dc317ad8266e78c149f8245abb requests/concurrency-r1-c2.json +264097f61645a0d5089562dc003b7748b1c20339c2df1290ad6664fc1834068a requests/concurrency-r1-c3.json +65895c5a5fab53c06e9358d88d921f1bfc9dc7cc8b6e8a2521ac90de080ff470 requests/concurrency-r1-c4.json 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b/bench/results/2026-11-08-standard-4x-rtx-3090-d8cef8bb/provenance/launch-config.json new file mode 100644 index 00000000000..27b65cdd018 --- /dev/null +++ b/bench/results/2026-11-08-standard-4x-rtx-3090-d8cef8bb/provenance/launch-config.json @@ -0,0 +1,133 @@ +{ + "exe": "/bin/strata-212p-74702164d1e5e37d", + "args": [ + "--pack", + "/unsloth-ud-iq4_xs", + "--native", + "", + "--expert-profile", + "", + "--expert-cache", + "auto", + "--prefill", + "512", + "--spec", + "4", + "--spec-min-p", + "0.5", + "--mtp", + "/mtp/rt", + "--max-context", + "262144", + "--kv", + "int8", + "--resident-experts", + "--trim-stage-weights", + "--ple-io", + "ram", + "--aux-cpus", + "65-127", + "--conversation-cache-mib", + "126976", + "--conversation-cache-slots", + "448", + "--kv-resident", + "28672", + "--conversation-cache-min-free-mib", + "16384", + "--conversation-cache-min-tokens", + "1024", + "--vision", + "--prompt-cache-every", + "8192", + "--prompt-cache", + "12" + ], + "cwd": "", + 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"STRATA_SOLO_PIPELINE": "1", + "STRATA_READ_YIELD": "1" + }, + "vision": { + "exe": "/strata-vision-cpu", + "mmproj": "", + "model": "", + "gpu": false, + "threads": 32, + "max_tokens": 1024 + }, + "tool_call_recovery": false, + "sampling": { + "presence_penalty": 0 + }, + "drafting": "mtp" +} diff --git a/bench/results/2026-11-08-standard-4x-rtx-3090-d8cef8bb/results.json b/bench/results/2026-11-08-standard-4x-rtx-3090-d8cef8bb/results.json new file mode 100644 index 00000000000..f84eb8aecd0 --- /dev/null +++ b/bench/results/2026-11-08-standard-4x-rtx-3090-d8cef8bb/results.json @@ -0,0 +1,2603 @@ +{ + "format": "strata-standard-benchmark", + "schema_version": 1, + "protocol": { + "id": "strata-qwen38-thinking-v1-draft.1", + "git_commit": "a099d2953b6b70084d92da0f3ac7b015719a4d5e", + "profile": "qwen3.8-flash-next-thinking", + "corpus_sha256": "e75eff8b9feea04f745520b392c4c17d97aefc1ba185e222aa6740efa8f68407", + "model_card_revision": null + }, + "run": { + "id": 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"memory_bytes": 25769803776, + "memory_kind": "dedicated", + "power_limit_w": 320.0 + }, + { + "device_index": 1, + "name": "NVIDIA GeForce RTX 3090", + "memory_bytes": 25769803776, + "memory_kind": "dedicated", + "power_limit_w": 320.0 + }, + { + "device_index": 2, + "name": "NVIDIA GeForce RTX 3090", + "memory_bytes": 25769803776, + "memory_kind": "dedicated", + "power_limit_w": 320.0 + }, + { + "device_index": 3, + "name": "NVIDIA GeForce RTX 3090", + "memory_bytes": 25769803776, + "memory_kind": "dedicated", + "power_limit_w": 320.0 + } + ], + "cpu": "AMD Ryzen Threadripper 3990X 64-Core Processor", + "ram_bytes": 270073282560, + "storage": [ + { + "kind": "nvme", + "model": "CT1000P310SSD8", + "bus": "nvme" + } + ], + "background_workloads": null + }, + "software": { + "os": { + "name": "Ubuntu 24.04.5 LTS", + "version": "7.0.0-38-generic" + }, + "drivers": [ + { + "name": "gpu-driver", + "version": "580.196.07" + } + ], + "runtime": [ + { + "name": "cuda", + "version": "13.0" + } 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agree or only one exists", + "/requests/26/evaluation": "not applicable outside the sanity stage", + "/requests/27/error": "none: the request ended normally", + "/requests/27/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/27/evaluation": "not applicable outside the sanity stage", + "/requests/28/error": "none: the request ended normally", + "/requests/28/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/28/evaluation": "not applicable outside the sanity stage", + "/requests/29/error": "none: the request ended normally", + "/requests/29/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/29/evaluation": "not applicable outside the sanity stage", + "/requests/30/error": "none: the request ended normally", + "/requests/30/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/30/evaluation": "not applicable outside the sanity stage", + "/requests/31/error": "none: the request ended normally", + "/requests/31/timings/first_answer_s": "no answer text or tool call arrived (reasoning alone does not count)", + "/requests/31/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/31/evaluation": "not applicable outside the sanity stage", + "/requests/32/error": "none: the request ended normally", + "/requests/32/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/32/evaluation": "not applicable outside the sanity stage", + "/requests/33/error": "none: the request ended normally", + "/requests/33/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/33/evaluation": "not applicable outside the sanity stage" + }, + "extensions": { + "suite": "standard-v1", + "runner": "strata_cli.bench_standard", + "status_reasons": [], + "started_engine": false, + "server_requests_before_run": 0, + "other_engine_options": { + "--pack": "unsloth-ud-iq4_xs", + "--native": "Qwen3.8-Flash-Next-UD-IQ4_XS-00001-of-00003.gguf", + "--max-context": "262144", + "--resident-experts": true, + "--trim-stage-weights": true, + "--ple-io": "ram", + "--aux-cpus": "65-127", + "--conversation-cache-mib": "126976", + "--conversation-cache-slots": "448", + "--conversation-cache-min-free-mib": "16384", + "--conversation-cache-min-tokens": "1024", + "--vision": true, + "--prompt-cache-every": "8192", + "--prompt-cache": "12", + "--batch": "16" + }, + "request_checks": { + "warmup": { + "max_shared_prefix_tokens": 47, + "frozen_input_tokens": 75, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "performance-short-r1": { + "max_shared_prefix_tokens": 50, + "frozen_input_tokens": 77, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "performance-prompt-4k-r1": { + "max_shared_prefix_tokens": 54, + "frozen_input_tokens": 4093, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "performance-prompt-16k-r1": { + "max_shared_prefix_tokens": 55, + "frozen_input_tokens": 16387, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "performance-short-r2": { + "max_shared_prefix_tokens": 50, + "frozen_input_tokens": 77, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "performance-prompt-4k-r2": { + "max_shared_prefix_tokens": 54, + "frozen_input_tokens": 4093, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "performance-prompt-16k-r2": { + "max_shared_prefix_tokens": 55, + "frozen_input_tokens": 16387, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "performance-short-r3": { + "max_shared_prefix_tokens": 50, + "frozen_input_tokens": 77, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "performance-prompt-4k-r3": { + "max_shared_prefix_tokens": 54, + "frozen_input_tokens": 4093, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "performance-prompt-16k-r3": { + "max_shared_prefix_tokens": 55, + "frozen_input_tokens": 16387, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-I1": { + "max_shared_prefix_tokens": 49, + "frozen_input_tokens": 82, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-I2": { + "max_shared_prefix_tokens": 49, + "frozen_input_tokens": 90, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-I3": { + "max_shared_prefix_tokens": 49, + "frozen_input_tokens": 85, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-I4": { + "max_shared_prefix_tokens": 49, + "frozen_input_tokens": 71, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-R1": { + "max_shared_prefix_tokens": 49, + "frozen_input_tokens": 4089, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-R2": { + "max_shared_prefix_tokens": 49, + "frozen_input_tokens": 4089, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-R3": { + "max_shared_prefix_tokens": 49, + "frozen_input_tokens": 16382, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-R4": { + "max_shared_prefix_tokens": 49, + "frozen_input_tokens": 16390, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-T1": { + "max_shared_prefix_tokens": 61, + "frozen_input_tokens": 325, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-T2": { + "max_shared_prefix_tokens": 62, + "frozen_input_tokens": 335, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-T3": { + "max_shared_prefix_tokens": 61, + "frozen_input_tokens": 352, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-T4": { + "max_shared_prefix_tokens": 62, + "frozen_input_tokens": 339, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r1-c1": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r1-c2": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r1-c3": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r1-c4": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r2-c1": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r2-c2": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r2-c3": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r2-c4": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r3-c1": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r3-c2": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r3-c3": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r3-c4": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + } + }, + "optional_stage_skipped": false, + "api_key_sent": false + } +} diff --git a/bench/results/2026-11-08-standard-4x-rtx-3090-e32ea56b/README.md b/bench/results/2026-11-08-standard-4x-rtx-3090-e32ea56b/README.md new file mode 100644 index 00000000000..b8992eb2c9b --- /dev/null +++ b/bench/results/2026-11-08-standard-4x-rtx-3090-e32ea56b/README.md @@ -0,0 +1,78 @@ +# Strata standard benchmark: NVIDIA GeForce RTX 3090, NVIDIA GeForce RTX 3090, NVIDIA GeForce RTX 3090, NVIDIA GeForce RTX 3090 + +Protocol `strata-qwen38-thinking-v1-draft.1` (draft), run `20261108T164512Z-e32ea56b`, started 2026-11-08T16:45:12Z. **Status: complete.** + +Written by `strata bench run`. The machine-readable result is [results.json](results.json); every request, its raw usage and timings and the client event offsets are in [outputs.jsonl](outputs.jsonl). + +## Hardware and software + +- GPU: NVIDIA GeForce RTX 3090 (24.0 GiB dedicated); NVIDIA GeForce RTX 3090 (24.0 GiB dedicated); NVIDIA GeForce RTX 3090 (24.0 GiB dedicated); NVIDIA GeForce RTX 3090 (24.0 GiB dedicated) +- CPU: AMD Ryzen Threadripper 3990X 64-Core Processor; RAM: 251.5 GiB +- Storage of the model files: nvme CT1000P310SSD8 (nvme) +- OS: Ubuntu 24.04.5 LTS 7.0.0-38-generic; drivers: gpu-driver 580.196.07; runtime: cuda 13.0 +- Strata commit: `146df3c468739147f520ac3816de806f71232571`; engine 0.1.58; source build +- Background work: not measured + +## Model and configuration + +- Model: qwen3.8-flash-next-unsloth-ud-iq4_xs; quantization UD-IQ4_XS; revision not measured; source revision not measured +- Files: `Qwen3.8-Flash-Next-UD-IQ4_XS-00001-of-00003.gguf` `5ce89370720f8bf9...`; `Qwen3.8-Flash-Next-UD-IQ4_XS-00002-of-00003.gguf` `577a38a2392b40ca...`; `Qwen3.8-Flash-Next-UD-IQ4_XS-00003-of-00003.gguf` `d4634e6d84f0ebb0...`; `expert-profile.bin` `8f59b4aa8873209d...` +- Track: **custom** (S: Strata-212@146df3c4, engine strata-212-stocktab-f83fd81691a5b053, CUDA 13.0 source build (STRATA_MMQ_TAB=ON), 4x RTX 3090 320 W, layer split over 4 cards; stock v0.2.12: the args/env stock setup writes for this box (128K, int8 KV, MTP, parallel 3 as strata launch sets for 24 GB), vision off, sampling.presence_penalty 0 (inert here: the suite sends 0); server env: []) +- Context 131072 tokens; server capacity 3 slot(s) +- Sampling: temperature 1.0, top_p 0.95, top_k 20, min_p 0.0, presence_penalty 0.0, repetition_penalty 1.0, reasoning_effort xhigh; thinking on, preserved +- Engine options: `config.json`; chat template: `provenance/chat_template.jinja` + +## Method + +The frozen requests of `bench/prompts/standard-v1` (corpus `e75eff8b9feea04f...`) were sent over loopback HTTP, streaming, one at a time, in this order: 1 warm-up (excluded), 3 repetitions of the short, 4K and 16K prompts, and the twelve sanity checks. Prompt and decode speed are the engine's own `timings`; time to first token is the client's monotonic clock from dispatch to the first nonempty reasoning, answer or tool-call delta. No request was retried. Time after the model loaded: 1 min 18 s. + +## Results + +| Case | Prompt tok/s | Decode tok/s | TTFT s | First answer s | Total s | Capped | +| --- | --- | --- | --- | --- | --- | --- | +| short | n/a | 127.4 (125.5-137.1) n=3 | 0.49 (0.38-0.49) n=3 | 1.79 (1.29-1.96) n=3 | 3.0 (3.0-3.5) n=3 | 0/3 | +| prompt-4k | 1921.4 (1912.9-1995.8) n=3 | 128.3 (124.2-136.6) n=3 | 2.15 (2.07-2.16) n=3 | 4.95 (4.35-5.55) n=2 | 6.1 (5.9-6.2) n=3 | 3/3 | +| prompt-16k | 3219.1 (3211.1-3285.0) n=3 | 127.9 (127.4-143.7) n=3 | 5.12 (5.01-5.13) n=3 | 7.90 (6.71-8.04) n=3 | 9.1 (8.6-9.1) n=3 | 3/3 | + +Cells are median (min-max) n=samples. Short is a prompt of about 80 tokens: its prompt rate is dominated by the fixed cost of a request, so it is not shown; read prompt speed from prompt-4k and prompt-16k. Capped = requests that reached the 512-token cap, reasoning and answer together. A capped request's total time is the time to the cap, not to an answer, and it has no first-answer time when it was still reasoning. + +| Phase | Planned | Completed | Truncated | Failed | Skipped | +| --- | ---: | ---: | ---: | ---: | ---: | +| warmup | 1 | 0 | 1 | 0 | 0 | +| performance | 9 | 3 | 6 | 0 | 0 | +| sanity | 12 | 12 | 0 | 0 | 0 | +| concurrency | 12 | 4 | 8 | 0 | 0 | + +Sanity checks: **12 of 12**. + +| Case | Result | Reason | +| --- | --- | --- | +| I1 | pass | the expected JSON value | +| I2 | pass | the expected JSON value | +| I3 | pass | the expected JSON value | +| I4 | pass | the exact expected text | +| R1 | pass | the exact expected text | +| R2 | pass | the exact expected text | +| R3 | pass | the exact expected text | +| R4 | pass | the expected JSON value | +| T1 | pass | the expected tool call | +| T2 | pass | the expected tool call | +| T3 | pass | the expected tool call | +| T4 | pass | the expected tool call | + +Concurrency rounds (four requests released together): + +| Round | Wall s | Output tokens | Aggregate tok/s | Failed | +| ---: | ---: | ---: | ---: | ---: | +| 1 | 9.751499 | 1933 | 198.225934 | 0 | +| 2 | 9.743433 | 1968 | 201.982197 | 0 | +| 3 | 10.431865 | 2048 | 196.321559 | 0 | + +## Failures, exclusions and limitations + +- No request failed. +- Excluded from speed summaries: performance-prompt-4k-r3: first_answer_s is not available for this request +- Prompt-prefix reuse is the shared template prefix only; the cache was not emptied between requests, and the expert cache stays warm and evolves. These are not cold-model measurements. +- Output caps include reasoning; a request that reaches its cap is `truncated` and fails its sanity check. +- The runner cannot see other programs on the machine, the repeat-stop and loop-recovery switches of the server, or the quantization repository's revision; see `missing` in results.json for every value it could not read. +- The server had answered no request before this run (a freshly loaded engine). diff --git a/bench/results/2026-11-08-standard-4x-rtx-3090-e32ea56b/config.json b/bench/results/2026-11-08-standard-4x-rtx-3090-e32ea56b/config.json new file mode 100644 index 00000000000..0f1393ddf3c --- /dev/null +++ b/bench/results/2026-11-08-standard-4x-rtx-3090-e32ea56b/config.json @@ -0,0 +1,35 @@ +{ + "engine_options": { + "--pack": "unsloth-ud-iq4_xs", + "--native": "Qwen3.8-Flash-Next-UD-IQ4_XS-00001-of-00003.gguf", + "--expert-profile": "expert-profile.bin", + "--expert-cache": "auto", + "--prefill": "auto", + "--spec": "4", + "--spec-min-p": "0.5", + "--mtp": "rt", + "--max-context": "131072", + "--kv": "int8", + "--ple-io": "ram", + "--kv-resident": "32768", + "--layer-split": "auto", + "--batch": "3" + }, + "other_engine_options": { + "--pack": "unsloth-ud-iq4_xs", + "--native": "Qwen3.8-Flash-Next-UD-IQ4_XS-00001-of-00003.gguf", + "--max-context": "131072", + "--ple-io": "ram", + "--batch": "3" + }, + "server_defaults": { + "temperature": 1.0, + "top_p": 0.95, + "top_k": 20, + "presence_penalty": 0.0, + "n_predict": -1 + }, + "total_slots": 3, + "context": 131072, + "source": "effective engine arguments of the profile" +} diff --git a/bench/results/2026-11-08-standard-4x-rtx-3090-e32ea56b/engine.log b/bench/results/2026-11-08-standard-4x-rtx-3090-e32ea56b/engine.log new file mode 100644 index 00000000000..d5d8a1602d7 --- /dev/null +++ b/bench/results/2026-11-08-standard-4x-rtx-3090-e32ea56b/engine.log @@ -0,0 +1,280 @@ +[strata] 2026-11-08 17:43:22 engine started: /bin/strata-212-stocktab-f83fd81691a5b053 --serve --pack /unsloth-ud-iq4_xs --native --expert-profile /data/expert-profile.bin --expert-cache auto --prefill auto --spec 4 --spec-min-p 0.5 --mtp /mtp/rt --max-context 131072 --kv int8 --ple-io ram --kv-resident 32768 --layer-split auto --batch 3 +strata: sm_86 (Ampere): 9 exact speed switches on by default (STRATA_SM86_PERF=0 turns them off; a switch you set is kept): ADAPT_NOWAIT ADAPT_LAG CPU_IQ_ALL_EXACT1 SIDE_MIXER ATTN_DAILY GR_UP75 GU_SWIGLU QSA_ROWS B6_MMVQ_ROWS +strata: a model with K-quant experts (Unsloth UD-Q4/Q5/Q6_K_XL) reads its prompt on llama.cpp's MMQ kernels (STRATA_MMQ_KQ=0 or STRATA_NV_KQ_DEFAULT=0 turns it off) +strata generate: NVIDIA: --prefill auto may take chunks up to 32768 (STRATA_NV_CHUNK=0 keeps 8192, =16 keeps 16384) +strata generate: memory guard: limit 224.0 GiB (source: cgroup), current 0.5 GiB, reclaimable cache credited 0.0 GiB; available 223.5 GiB (MemAvailable 240.1 GiB), floor 2560 MiB +strata generate: layer split across 4 GPUs: CUDA0, then CUDA1,2,3 (split auto) +strata generate: PCIe probe: 13.1 GB/s host->device (best of 13.1 13.1 13.1 13.1) -> pcie_frac 0.36 (default 0.55) +strata generate: CPU expert kernels: AVX-2 +strata generate: native pack: /unsloth-ud-iq4_xs experts (largest blob 3.48 MB), token embedding Q8_0 in mapped host memory (644 MiB, 0.7 s) +strata generate: 1416 MiB of weights loaded from /unsloth-ud-iq4_xs in 0.4 s (303 canonical tensors skipped: served natively) +strata: STRATA_HC_Q8=1: 0.63 GiB of Q8_0 hyper-connection projections for the verify read +strata generate: 495 native projection matrices, 3619.14 MiB of weights, in 0.8 s +strata generate: PLE table locked in RAM (--ple-io ram) in 1.6 s +strata: STRATA_HC_Q8=1: 0.63 GiB of Q8_0 hyper-connection projections for the verify read +strata generate: layer split: CUDA1 PCIe probe 13.1 GB/s (best of 13.1 13.1 13.1 13.1) -> pcie_frac 0.36 +strata generate: layer split: CUDA1 holds its weights; 18.00 GiB free (its session follows the split search) +strata: STRATA_HC_Q8=1: 0.63 GiB of Q8_0 hyper-connection projections for the verify read +strata generate: layer split: CUDA2 PCIe probe 13.5 GB/s (best of 13.5 13.5 13.5 13.5) -> pcie_frac 0.37 +strata generate: layer split: CUDA2 holds its weights; 18.00 GiB free (its session follows the split search) +strata: STRATA_HC_Q8=1: 0.63 GiB of Q8_0 hyper-connection projections for the verify read +strata generate: layer split: CUDA3 PCIe probe 13.5 GB/s (best of 13.5 13.5 13.5 13.5) -> pcie_frac 0.37 +strata generate: layer split: CUDA3 holds its weights; 18.00 GiB free (its session follows the split search) +strata generate: profile /data/expert-profile.bin: 24576 ranked pairs, built for 24576 slots +strata generate: layer split auto: CUDA0 82 SMs at 1.78 GHz -> 0.50 ms per layer, 17.08 GiB free before its session carve +strata generate: layer split auto: CUDA1 82 SMs at 1.78 GHz -> 0.50 ms per layer, 16.97 GiB free before its session carve +strata generate: layer split auto: CUDA2 82 SMs at 1.78 GHz -> 0.50 ms per layer, 16.97 GiB free before its session carve +strata generate: layer split auto: CUDA3 82 SMs at 1.78 GHz -> 0.50 ms per layer, 15.99 GiB free before its session carve +strata generate: layer split auto: CUDA0 link 13.1 GB/s -> miss cost x1.00 +strata generate: layer split auto: CUDA1 link 13.1 GB/s -> miss cost x1.00 +strata generate: layer split auto: CUDA2 link 13.5 GB/s -> miss cost x1.00 +strata generate: layer split auto: CUDA3 link 13.5 GB/s -> miss cost x1.00 +strata generate: layer split auto: K=12,24,36 - predicted 23.8 ms per decode window; the caches hold 24576 of 24576 profiled pairs (~100.0% of the routed mass), best of 15180 placements +strata generate: KV streaming: 32768 of 131072 cells per QSA layer in VRAM, the K/V in 0.39 GiB of pinned RAM +strata generate: PLE on, table 320001536 rows of +strata generate: layer split: CUDA1 holds its weights, session [12, 24); 17.78 GiB free +strata generate: layer split: CUDA2 holds its weights, session [24, 36); 17.78 GiB free +strata generate: layer split: CUDA3 holds its weights, session [36, 48) and the head; 17.29 GiB free +strata generate: --batch-groups auto: 3 groups of 1 slot +strata generate: --batch: 3 slot sessions on CUDA0 (0.21 GiB each); 16.91 GiB free +strata generate: --batch: 3 slot sessions on CUDA1 (0.21 GiB each); 17.14 GiB free +strata generate: --batch: 3 slot sessions on CUDA2 (0.21 GiB each); 17.13 GiB free +strata generate: --batch: 3 slot sessions on CUDA3 (0.21 GiB each); 16.64 GiB free +strata generate: --batch 3: the slot sessions take 0.64 GiB of VRAM on CUDA0 that the expert cache would otherwise hold +strata mtp: draft layer loaded, 835 MiB of VRAM (experts 675, dense 111), files read in 0.44 s (1777 MiB/s) +strata generate: GPU 0: NVIDIA GeForce RTX 3090, compute capability 8.6 +strata generate: expert arena read through the file cache (buffered (not Windows)) +strata generate: expert arena: cudaHostRegister PORTABLE ok; MAP_HUGETLB unavailable (needed 28383 2 MiB pages, vm.nr_hugepages=0); transparent huge pages requested (MADV_HUGEPAGE) +strata generate: loaded 55.43 GiB at 6.75 GiB/s +strata generate: GPU host-callback thread started before host-core pinning +strata generate: CPU pool tasks/phase: 99 (automatic), participating threads: 33 +strata generate: CPU pool: 32 workers by default (64 physical cores, 128 logical processors; bounded by the measured cap) +strata generate: 32 pool workers on logical processors 1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32, the host thread on 0 (draining too) (--host-core first) +strata generate: CPU workers on logical processors 1-32 (32 workers, one per physical core; host on 0) +strata aux cpus: threads that are neither pool workers nor the host go to CPUs 64,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127 (off at start; a request's aux_cpus=1 turns it on) +strata generate: expert cache auto: 16.79 GiB free, 700 MiB reserved (+0 MiB for the draft head, +256 MiB for what is allocated after the cache) -> 4889 slots +strata generate: expert cache 6144 slots, 14.27 GiB of VRAM; policy is +strata generate: the GPU computes the experts in the cache; it rounds differently from the CPU, + so a reply can differ slightly from a run without the cache (same quality: + bench/results/2026-09-27-cache-parity). + PROFILE, ranked by routing frequency, no eviction. +strata generate: pre-filled 6144 of 6144 slots from the profile in 1.2 s (12541 MB/s); slot 0 verified +strata generate: layer split, CUDA1: 17.02 GiB free of 23.56, room for experts 16.00 GiB +strata generate: layer split: CUDA1 runs layers 12-23, expert cache 6144 slots (13.33 GiB), 6144 of its 6144 profiled pairs; slot 0 verified +strata generate: layer split, CUDA2: 17.02 GiB free of 23.56, room for experts 16.00 GiB +strata generate: layer split: CUDA2 runs layers 24-35, expert cache 6144 slots (13.72 GiB), 6144 of its 6144 profiled pairs; slot 0 verified +strata generate: layer split, CUDA3: 15.72 GiB free of 23.56, room for experts 14.69 GiB +strata generate: layer split: CUDA3 runs layers 36-47, expert cache 6144 slots (14.11 GiB), 6144 of its 6144 profiled pairs; slot 0 verified +strata generate: layer split: CUDA0 runs layers 0-11 +strata generate: layer split auto: L2 probe: the split is startable on the live free figures +strata generate: R4 hit path ON - resident experts are computed on the GPU +strata generate: 32 expert-pool workers + the host thread +strata generate: session is up (engine 0.1.58) +strata generate: token graph hit path: 24576 resident experts, decided on the device +strata serve: layer split: 100% of the experts resident, the prompt path's streamed ring 96 slots +strata serve: prompt chunk auto: 8192 tokens, a 96-slot ring +strata serve: the prompt path borrows 1560 CUDA0 cache slots (3.62 GiB) +strata serve: CUDA1 prompt path borrows 1668 of its 6144 slots (3.62 GiB) +strata serve: CUDA2 prompt path borrows 1630 of its 6144 slots (3.62 GiB) +strata serve: CUDA3 prompt path borrows 1558 of its 6144 slots (3.62 GiB) +strata hc: CUDA1: the hyper-connection read runs as staged (the norm per token and stream, the down projection's activations staged ahead by cp.async); checked bit for bit against the plain read on this card (STRATA_HC_SPLIT=1 or 0 for the earlier ones) +strata verify: window up to 6 tokens, 87.6 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata hc: CUDA2: the hyper-connection read runs as staged (the norm per token and stream, the down projection's activations staged ahead by cp.async); checked bit for bit against the plain read on this card (STRATA_HC_SPLIT=1 or 0 for the earlier ones) +strata verify: window up to 6 tokens, 87.6 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata hc: CUDA3: the hyper-connection read runs as staged (the norm per token and stream, the down projection's activations staged ahead by cp.async); checked bit for bit against the plain read on this card (STRATA_HC_SPLIT=1 or 0 for the earlier ones) +strata verify: window up to 6 tokens, 87.6 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata serve: layer split: layers 0-11 (CUDA0), 12-23 (CUDA1), 24-35 (CUDA2), 36-47 (CUDA3), one hand-off per window +strata hc: CUDA0: the hyper-connection read runs as staged (the norm per token and stream, the down projection's activations staged ahead by cp.async); checked bit for bit against the plain read on this card (STRATA_HC_SPLIT=1 or 0 for the earlier ones) +strata verify: window up to 6 tokens, 87.6 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata mtp: draft head over 106299 tokens (212.9 MiB) +strata verify: batch windows of up to 3 sequences (layers [0, 12)), one-row windows keep their rows +strata verify: batch windows of up to 3 sequences (layers [12, 24)), one-row windows keep their rows +strata verify: batch windows of up to 3 sequences (layers [24, 36)), one-row windows keep their rows +strata verify: batch windows of up to 3 sequences (layers [36, 48)), one-row windows keep their rows +strata serve: conversation cache sized from the free RAM: 8192 MiB for up to 4 parked conversations, so an agent's next turn reuses its prompt (--conversation-cache-mib N sets it, 0 turns it off) +strata serve: PCIe share: start 0.10 from 32 pool workers (assumed 65 GB/s of expert bytes) and the 13.1 GB/s link (was 0.36) +strata serve: adaptive overlap: off: not on a layer split +strata serve: 2317 MiB of VRAM free with everything loaded +strata serve: CUDA1: 3521 MiB of VRAM free with everything loaded +strata serve: CUDA2: 3121 MiB of VRAM free with everything loaded +strata serve: CUDA3: 1163 MiB of VRAM free with everything loaded +strata prefill: FP16 weight cache 0 MiB (the card keeps 3072 MiB free; STRATA_PF_W16_CACHE_MIB=0 turns it off) +strata prefill: QSA layers: norm + rope in one pass on, attention gate in the attention epilogue off +strata prefill: FP16 weight cache 363 MiB (the card keeps 3072 MiB free; STRATA_PF_W16_CACHE_MIB=0 turns it off) +strata prefill: FP16 weight cache 0 MiB (the card keeps 3072 MiB free; STRATA_PF_W16_CACHE_MIB=0 turns it off) +strata prefill: FP16 weight cache 0 MiB (the card keeps 3072 MiB free; STRATA_PF_W16_CACHE_MIB=0 turns it off) +strata verify: capturing the 4-token window (2279 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 3.2 ms +strata verify: capturing the 4-token window (3109 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 2.1 ms +strata verify: capturing the 4-token window (3079 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 2.3 ms +strata verify: capturing the 4-token window (1125 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 2.5 ms +strata verify: capturing the 1-token window (2273 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 3.3 ms +strata verify: capturing the 1-token window (3103 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 2.6 ms +strata verify: capturing the 1-token window (3073 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 2.7 ms +strata verify: capturing the 1-token window (1119 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 3.0 ms +strata verify: capturing the 6-token window (2267 MiB of VRAM free) +strata verify: captured the 6-token window (upload no error, sync no error) in 3.5 ms +strata verify: capturing the 6-token window (3097 MiB of VRAM free) +strata verify: captured the 6-token window (upload no error, sync no error) in 2.3 ms +strata verify: capturing the 6-token window (3067 MiB of VRAM free) +strata verify: captured the 6-token window (upload no error, sync no error) in 2.4 ms +strata verify: capturing the 6-token window (1109 MiB of VRAM free) +strata verify: captured the 6-token window (upload no error, sync no error) in 2.6 ms +strata verify: capturing the 2-token window (2261 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 3.0 ms +strata verify: capturing the 2-token window (3091 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 2.4 ms +strata verify: capturing the 2-token window (3061 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 2.4 ms +strata verify: capturing the 2-token window (1103 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 2.9 ms +strata verify: capturing the 3-token window (2255 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 3.2 ms +strata verify: capturing the 3-token window (3085 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 2.7 ms +strata verify: capturing the 3-token window (3055 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 2.8 ms +strata verify: capturing the 3-token window (1095 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 2.4 ms +strata serve: prompt 75 tokens = 0 reused + 75 read in 602 ms (124.6 tok/s), 128 generated in 957 ms (133.8 tok/s), drafts accepted 78 of 123, 1 checkpoints +strata serve: KV streaming: 99.16% of 18639 block reads hit VRAM, 0.6 MiB read from RAM +strata serve: suffix drafts: 2 windows, 6 of 10 drafts accepted +strata serve: conversation cache: parked 204 tokens in 120.8 ms; parked=1 bytes=241468240 evictions=0 snapshot_bytes=241468240 reused_kv_bytes=0 +strata serve: prompt 77 tokens = 0 reused + 77 read in 362 ms (213.0 tok/s), 364 generated in 2655 ms (137.1 tok/s), drafts accepted 204 of 333, 1 checkpoints +strata serve: KV streaming: 99.66% of 99009 block reads hit VRAM, 1.3 MiB read from RAM +strata serve: suffix drafts: 4 windows, 7 of 12 drafts accepted +strata serve: conversation cache: parked 442 tokens in 123.1 ms; parked=2 bytes=486597536 evictions=0 snapshot_bytes=245129296 reused_kv_bytes=0 +strata serve: prompt 4093 tokens = 0 reused + 4093 read in 2130 ms (1921.4 tok/s), 512 generated in 3747 ms (136.6 tok/s), drafts accepted 274 of 380, 1 checkpoints +strata serve: KV streaming: 99.64% of 959730 block reads hit VRAM, 13.9 MiB read from RAM +strata serve: suffix drafts: 9 windows, 22 of 29 drafts accepted +strata serve: conversation cache: parked 4605 tokens in 154.0 ms; parked=3 bytes=795416992 evictions=0 snapshot_bytes=308819456 reused_kv_bytes=0 +strata serve: prompt 16387 tokens = 0 reused + 16387 read in 5103 ms (3211.1 tok/s), 512 generated in 4004 ms (127.9 tok/s), drafts accepted 267 of 431, 1 checkpoints +strata serve: KV streaming: 98.84% of 1047513 block reads hit VRAM, 48.9 MiB read from RAM +strata serve: suffix drafts: 11 windows, 17 of 33 drafts accepted +strata serve: conversation cache: parked 16898 tokens in 243.4 ms; parked=4 bytes=1292254928 evictions=0 snapshot_bytes=496837936 reused_kv_bytes=0 +strata serve: prompt 77 tokens = 0 reused + 77 read in 480 ms (160.5 tok/s), 385 generated in 3022 ms (127.4 tok/s), drafts accepted 201 of 344, 1 checkpoints +strata serve: KV streaming: 99.68% of 108414 block reads hit VRAM, 1.4 MiB read from RAM +strata serve: suffix drafts: 6 windows, 17 of 18 drafts accepted +strata serve: conversation cache: parked 462 tokens in 118.8 ms; parked=4 bytes=1296221584 evictions=1 snapshot_bytes=245434896 reused_kv_bytes=0 +strata serve: prompt 4093 tokens = 0 reused + 4093 read in 2140 ms (1912.9 tok/s), 512 generated in 3991 ms (128.3 tok/s), drafts accepted 256 of 385, 1 checkpoints +strata serve: KV streaming: 99.65% of 996714 block reads hit VRAM, 13.9 MiB read from RAM +strata serve: suffix drafts: 21 windows, 51 of 65 drafts accepted +strata serve: conversation cache: parked 4606 tokens in 148.0 ms; parked=4 bytes=1359911760 evictions=2 snapshot_bytes=308819472 reused_kv_bytes=0 +strata serve: prompt 16387 tokens = 0 reused + 16387 read in 5091 ms (3219.1 tok/s), 512 generated in 4018 ms (127.4 tok/s), drafts accepted 257 of 383, 1 checkpoints +strata serve: KV streaming: 98.78% of 990519 block reads hit VRAM, 48.6 MiB read from RAM +strata serve: suffix drafts: 8 windows, 14 of 26 drafts accepted +strata serve: conversation cache: parked 16899 tokens in 217.6 ms; parked=4 bytes=1547930256 evictions=3 snapshot_bytes=496837952 reused_kv_bytes=0 +strata serve: prompt 77 tokens = 0 reused + 77 read in 477 ms (161.6 tok/s), 322 generated in 2566 ms (125.5 tok/s), drafts accepted 165 of 294, 1 checkpoints +strata serve: KV streaming: 99.63% of 82056 block reads hit VRAM, 1.2 MiB read from RAM +strata serve: suffix drafts: 2 windows, 3 of 6 drafts accepted +strata serve: conversation cache: parked 400 tokens in 31.9 ms; parked=4 bytes=1295555472 evictions=4 snapshot_bytes=244463152 reused_kv_bytes=0 +strata serve: prompt 4093 tokens = 0 reused + 4093 read in 2051 ms (1995.8 tok/s), 512 generated in 4122 ms (124.2 tok/s), drafts accepted 242 of 381, 1 checkpoints +strata serve: KV streaming: 99.66% of 1009020 block reads hit VRAM, 13.9 MiB read from RAM +strata serve: suffix drafts: 13 windows, 22 of 39 drafts accepted +strata serve: conversation cache: parked 4604 tokens in 56.5 ms; parked=4 bytes=1358885104 evictions=5 snapshot_bytes=308764528 reused_kv_bytes=0 +strata serve: prompt 16387 tokens = 0 reused + 16387 read in 4989 ms (3284.9 tok/s), 512 generated in 3564 ms (143.7 tok/s), drafts accepted 303 of 418, 1 checkpoints +strata serve: KV streaming: 98.76% of 973599 block reads hit VRAM, 48.5 MiB read from RAM +strata serve: suffix drafts: 4 windows, 6 of 11 drafts accepted +strata serve: conversation cache: parked 16899 tokens in 130.0 ms; parked=4 bytes=1546903584 evictions=6 snapshot_bytes=496837952 reused_kv_bytes=0 +strata serve: prompt 82 tokens = 0 reused + 82 read in 373 ms (220.1 tok/s), 74 generated in 467 ms (158.6 tok/s), drafts accepted 49 of 72, 1 checkpoints +strata serve: KV streaming: 98.71% of 9036 block reads hit VRAM, 0.5 MiB read from RAM +strata serve: suffix drafts: 1 windows, 3 of 5 drafts accepted +strata serve: conversation cache: parked 156 tokens in 31.3 ms; parked=4 bytes=1290800544 evictions=7 snapshot_bytes=240734912 reused_kv_bytes=0 +strata serve: prompt 90 tokens = 0 reused + 90 read in 280 ms (321.5 tok/s), 64 generated in 357 ms (179.4 tok/s), drafts accepted 46 of 55, 1 checkpoints +strata serve: KV streaming: 98.38% of 7233 block reads hit VRAM, 0.5 MiB read from RAM +strata serve: conversation cache: parked 155 tokens in 30.8 ms; parked=4 bytes=1287066272 evictions=8 snapshot_bytes=240728880 reused_kv_bytes=0 +strata serve: prompt 85 tokens = 0 reused + 85 read in 277 ms (307.0 tok/s), 81 generated in 432 ms (187.6 tok/s), drafts accepted 57 of 69, 1 checkpoints +strata serve: KV streaming: 98.61% of 9060 block reads hit VRAM, 0.5 MiB read from RAM +strata serve: conversation cache: parked 165 tokens in 30.9 ms; parked=4 bytes=1219213872 evictions=9 snapshot_bytes=240912128 reused_kv_bytes=0 +strata serve: prompt 71 tokens = 0 reused + 71 read in 255 ms (278.9 tok/s), 42 generated in 249 ms (169.0 tok/s), drafts accepted 29 of 35, 1 checkpoints +strata serve: KV streaming: 97.67% of 3732 block reads hit VRAM, 0.4 MiB read from RAM +strata serve: conversation cache: parked 114 tokens in 31.2 ms; parked=4 bytes=962493280 evictions=10 snapshot_bytes=240117360 reused_kv_bytes=0 +strata serve: prompt 4089 tokens = 0 reused + 4089 read in 2052 ms (1992.8 tok/s), 66 generated in 393 ms (167.9 tok/s), drafts accepted 44 of 54, 1 checkpoints +strata serve: KV streaming: 97.65% of 124782 block reads hit VRAM, 11.8 MiB read from RAM +strata serve: conversation cache: parked 4155 tokens in 38.6 ms; parked=4 bytes=1023671232 evictions=11 snapshot_bytes=301912864 reused_kv_bytes=0 +strata serve: prompt 4089 tokens = 0 reused + 4089 read in 2039 ms (2004.9 tok/s), 109 generated in 702 ms (155.2 tok/s), drafts accepted 68 of 86, 1 checkpoints +strata serve: KV streaming: 98.49% of 204882 block reads hit VRAM, 12.5 MiB read from RAM +strata serve: suffix drafts: 1 windows, 1 of 3 drafts accepted +strata serve: conversation cache: parked 4199 tokens in 38.7 ms; parked=4 bytes=1085527536 evictions=12 snapshot_bytes=302585184 reused_kv_bytes=0 +strata serve: prompt 16382 tokens = 0 reused + 16382 read in 4964 ms (3300.5 tok/s), 74 generated in 548 ms (135.1 tok/s), drafts accepted 42 of 62, 1 checkpoints +strata serve: KV streaming: 94.83% of 154050 block reads hit VRAM, 32.1 MiB read from RAM +strata serve: conversation cache: parked 16457 tokens in 62.1 ms; parked=4 bytes=1334730048 evictions=13 snapshot_bytes=490114640 reused_kv_bytes=0 +strata serve: prompt 16390 tokens = 0 reused + 16390 read in 5037 ms (3254.0 tok/s), 118 generated in 771 ms (153.1 tok/s), drafts accepted 74 of 105, 2 checkpoints +strata serve: KV streaming: 96.50% of 235695 block reads hit VRAM, 33.3 MiB read from RAM +strata serve: conversation cache: parked 16507 tokens in 205.1 ms; parked=4 bytes=1704893200 evictions=14 snapshot_bytes=610280512 reused_kv_bytes=0 +strata serve: prompt 325 tokens = 0 reused + 325 read in 655 ms (496.1 tok/s), 64 generated in 357 ms (179.1 tok/s), drafts accepted 47 of 57, 1 checkpoints +strata serve: KV streaming: 98.64% of 21684 block reads hit VRAM, 1.2 MiB read from RAM +strata serve: conversation cache: parked 391 tokens in 31.4 ms; parked=4 bytes=1647319056 evictions=15 snapshot_bytes=244338720 reused_kv_bytes=0 +strata serve: prompt 335 tokens = 0 reused + 335 read in 495 ms (676.7 tok/s), 63 generated in 335 ms (188.1 tok/s), drafts accepted 46 of 51, 1 checkpoints +strata serve: KV streaming: 98.52% of 20268 block reads hit VRAM, 1.2 MiB read from RAM +strata serve: conversation cache: parked 399 tokens in 31.2 ms; parked=4 bytes=1589194992 evictions=16 snapshot_bytes=244461120 reused_kv_bytes=0 +strata serve: prompt 352 tokens = 0 reused + 352 read in 499 ms (705.4 tok/s), 71 generated in 342 ms (207.7 tok/s), drafts accepted 52 of 54, 1 checkpoints +strata serve: KV streaming: 98.58% of 22317 block reads hit VRAM, 1.3 MiB read from RAM +strata serve: conversation cache: parked 422 tokens in 31.8 ms; parked=4 bytes=1343908448 evictions=17 snapshot_bytes=244828096 reused_kv_bytes=0 +strata serve: prompt 339 tokens = 0 reused + 339 read in 500 ms (677.5 tok/s), 64 generated in 351 ms (182.2 tok/s), drafts accepted 46 of 53, 1 checkpoints +strata serve: KV streaming: 98.58% of 21318 block reads hit VRAM, 1.2 MiB read from RAM +strata serve: conversation cache: parked 404 tokens in 31.7 ms; parked=4 bytes=978156400 evictions=18 snapshot_bytes=244528464 reused_kv_bytes=0 +strata serve: prompt 78 tokens = 0 reused + 78 read in 296 ms (263.8 tok/s), 1 generated in 12 ms (80.3 tok/s), drafts accepted 0 of 0, 1 checkpoints +strata serve: KV streaming: 79.38% of 291 block reads hit VRAM, 0.2 MiB read from RAM +strata batch: slot 0 takes 79 tokens (copied in 8.6 ms) +strata serve: prompt 79 tokens = 78 reused + 1 read in 0 ms (23310.0 tok/s), 1 generated in 11 ms (93.6 tok/s), drafts accepted 0 of 0, 1 checkpoints +strata serve: KV streaming: 82.91% of 351 block reads hit VRAM, 0.2 MiB read from RAM +strata verify: captured the batch window over slots 0 +strata verify: captured the batch window over slots 0 +strata verify: captured the batch window over slots 0 +strata verify: captured the batch window over slots 0 +strata serve: conversation cache: parked 79 tokens in 31.2 ms; parked=4 bytes=973385088 evictions=19 snapshot_bytes=239567408 reused_kv_bytes=0 +strata batch: slot 1 takes 78 tokens (copied in 1.0 ms) +strata serve: prompt 78 tokens = 0 reused + 78 read in 262 ms (297.4 tok/s), 1 generated in 11 ms (94.3 tok/s), drafts accepted 0 of 0, 0 checkpoints +strata serve: KV streaming: 79.38% of 291 block reads hit VRAM, 0.2 MiB read from RAM +strata verify: captured the batch window over slots 1 +strata verify: captured the batch window over slots 1 +strata verify: captured the batch window over slots 1 +strata verify: captured the batch window over slots 1 +strata serve: conversation cache: parked 78 tokens in 19.7 ms; parked=4 bytes=849320064 evictions=20 snapshot_bytes=120396096 reused_kv_bytes=0 +strata batch: slot 2 takes 78 tokens (copied in 1.0 ms) +strata serve: prompt 78 tokens = 0 reused + 78 read in 257 ms (303.7 tok/s), 1 generated in 11 ms (91.8 tok/s), drafts accepted 0 of 0, 0 checkpoints +strata serve: KV streaming: 79.38% of 291 block reads hit VRAM, 0.2 MiB read from RAM +strata verify: captured the batch window over slots 2 +strata verify: captured the batch window over slots 2 +strata verify: captured the batch window over slots 2 +strata verify: captured the batch window over slots 2 +strata serve: conversation cache: parked 78 tokens in 19.5 ms; parked=4 bytes=724888064 evictions=21 snapshot_bytes=120396096 reused_kv_bytes=0 +strata serve: conversation cache: slot 0 not parked before its overwrite (its 567 tokens have no per-slot draft K/V without --batch-mtp) +strata batch: slot 0 takes 78 tokens (copied in 1.0 ms) +strata serve: prompt 78 tokens = 0 reused + 78 read in 256 ms (304.3 tok/s), 1 generated in 11 ms (94.3 tok/s), drafts accepted 0 of 0, 0 checkpoints +strata serve: KV streaming: 79.38% of 291 block reads hit VRAM, 0.2 MiB read from RAM +strata batch (pipelined, 3 groups of 1): 1522 group-steps, 1522 rows in 6653 ms = 228.8 rows/s (admissions included) +strata serve: conversation cache: parked 78 tokens in 19.2 ms; parked=4 bytes=600755696 evictions=22 snapshot_bytes=120396096 reused_kv_bytes=0 +strata batch: slot 0 gave back 103 tokens of this conversation (all it holds) in 8.3 ms +strata serve: prompt 104 tokens = 103 reused + 1 read in 28 ms (36.1 tok/s), 406 generated in 2732 ms (148.6 tok/s), drafts accepted 243 of 362, 1 checkpoints +strata serve: KV streaming: 99.68% of 120372 block reads hit VRAM, 1.5 MiB read from RAM +strata serve: suffix drafts: 1 windows, 1 of 3 drafts accepted +strata serve: conversation cache: parked 510 tokens in 31.8 ms; parked=4 bytes=607356640 evictions=23 snapshot_bytes=246168352 reused_kv_bytes=0 +strata serve: prompt 78 tokens = 0 reused + 78 read in 270 ms (288.7 tok/s), 1 generated in 13 ms (79.2 tok/s), drafts accepted 0 of 0, 1 checkpoints +strata serve: KV streaming: 79.38% of 291 block reads hit VRAM, 0.2 MiB read from RAM +strata serve: conversation cache: slot 2 not parked before its overwrite (its 576 tokens have no per-slot draft K/V without --batch-mtp) +strata batch: slot 2 takes 79 tokens (copied in 16.6 ms) +strata serve: prompt 79 tokens = 78 reused + 1 read in 0 ms (23004.4 tok/s), 1 generated in 11 ms (87.1 tok/s), drafts accepted 0 of 0, 1 checkpoints +strata serve: KV streaming: 82.91% of 351 block reads hit VRAM, 0.2 MiB read from RAM +strata serve: conversation cache: parked 79 tokens in 31.4 ms; parked=4 bytes=726527952 evictions=24 snapshot_bytes=239567408 reused_kv_bytes=0 +strata serve: conversation cache: slot 1 not parked before its overwrite (its 589 tokens have no per-slot draft K/V without --batch-mtp) +strata batch: slot 1 takes 78 tokens (copied in 1.0 ms) +strata serve: prompt 78 tokens = 0 reused + 78 read in 266 ms (292.8 tok/s), 1 generated in 11 ms (93.2 tok/s), drafts accepted 0 of 0, 0 checkpoints +strata serve: KV streaming: 79.38% of 291 block reads hit VRAM, 0.2 MiB read from RAM +strata serve: conversation cache: parked 78 tokens in 19.2 ms; parked=4 bytes=726527952 evictions=25 snapshot_bytes=120396096 reused_kv_bytes=0 +strata batch: slot 0 takes 78 tokens (copied in 1.0 ms) +strata serve: prompt 78 tokens = 0 reused + 78 read in 251 ms (310.8 tok/s), 1 generated in 11 ms (90.4 tok/s), drafts accepted 0 of 0, 0 checkpoints +strata serve: KV streaming: 79.38% of 291 block reads hit VRAM, 0.2 MiB read from RAM +strata serve: conversation cache: parked 78 tokens in 19.4 ms; parked=4 bytes=726527952 evictions=26 snapshot_bytes=120396096 reused_kv_bytes=0 +strata serve: conversation cache: slot 2 not parked before its overwrite (its 509 tokens have no per-slot draft K/V without --batch-mtp) +strata batch: slot 2 takes 78 tokens (copied in 1.0 ms) +strata serve: prompt 78 tokens = 0 reused + 78 read in 251 ms (311.1 tok/s), 1 generated in 11 ms (94.1 tok/s), drafts accepted 0 of 0, 0 checkpoints +strata serve: KV streaming: 79.38% of 291 block reads hit VRAM, 0.2 MiB read from RAM diff --git a/bench/results/2026-11-08-standard-4x-rtx-3090-e32ea56b/outputs.jsonl b/bench/results/2026-11-08-standard-4x-rtx-3090-e32ea56b/outputs.jsonl new file mode 100644 index 00000000000..4d33b4ec672 --- /dev/null +++ b/bench/results/2026-11-08-standard-4x-rtx-3090-e32ea56b/outputs.jsonl @@ -0,0 +1,34 @@ +{"request_id": "warmup", "phase": "warmup", "case_id": "warmup", "request": {"stream": true, "stream_options": {"include_usage": true}, "max_tokens": 128, "seed": 1, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}}, "messages": [{"role": "user", "content": "[case warmup]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table finds a value in two main steps:\n\n1. **Hash the key**\n - The hash table takes the key and runs it through a hash function.\n - The hash function produces a number.\n - That number is used to pick a", "reasoning": "We need answer user's request: \"[case warmup] Explain how a hash table finds a value, including collisions and one small example.\" Need produce final. Simple explanation. Need include hash table lookup: hash key to bucket, index, compare keys, collisions via chaining or open addressing, example. Keep concise but detailed. Ensure no weird.\n", "tool_calls": [], "finish_reason": "length", "usage": {"prompt_tokens": 75, "completion_tokens": 128, "total_tokens": 203, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 75, "prompt_ms": 602.0, "prompt_per_token_ms": 8.027, "prompt_per_second": 124.6, "predicted_n": 128, "predicted_ms": 956.7, "predicted_per_token_ms": 7.474, "predicted_per_second": 133.8, "draft_n": 123, "draft_n_accepted": 78}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 1.563434, "first_delta": {"offset_s": 0.629335, "kind": "reasoning"}, "first_answer_offset_s": 1.225984, "client_events": [[0.629335, "reasoning"], [0.648412, "reasoning"], [0.648458, "reasoning"], [0.648499, "reasoning"], [0.648543, "reasoning"], [0.667568, "reasoning"], [0.667607, "reasoning"], [0.667651, "reasoning"], [0.686327, "reasoning"], [0.686367, "reasoning"], [0.686409, "reasoning"], [0.686449, "reasoning"], [0.705232, "reasoning"], [0.705269, "reasoning"], [0.705323, "reasoning"], [0.705354, "reasoning"], [0.724409, "reasoning"], [0.724444, "reasoning"], [0.724476, "reasoning"], [0.724512, "reasoning"], [0.760285, "reasoning"], [0.760317, "reasoning"], [0.76035, "reasoning"], [0.760381, "reasoning"], [0.760411, "reasoning"], [0.760442, "reasoning"], [0.785478, "reasoning"], [0.785513, "reasoning"], [0.810949, "reasoning"], [0.810978, "reasoning"], [0.825307, "reasoning"], [0.825341, "reasoning"], [0.844306, "reasoning"], [0.858921, "reasoning"], [0.887054, "reasoning"], [0.887088, "reasoning"], [0.887124, "reasoning"], [0.906184, "reasoning"], [0.925053, "reasoning"], [0.943682, "reasoning"], [0.958402, "reasoning"], [0.958436, "reasoning"], [0.976737, "reasoning"], [0.97677, "reasoning"], [0.993902, "reasoning"], [1.012823, "reasoning"], [1.012863, "reasoning"], [1.031894, "reasoning"], [1.031931, "reasoning"], [1.031968, "reasoning"], [1.046235, "reasoning"], [1.046268, "reasoning"], [1.058172, "reasoning"], [1.074875, "reasoning"], [1.074909, "reasoning"], [1.074946, "reasoning"], [1.091737, "reasoning"], [1.09177, "reasoning"], [1.091803, "reasoning"], [1.110815, "reasoning"], [1.110852, "reasoning"], [1.130361, "reasoning"], [1.130394, "reasoning"], [1.149202, "reasoning"], [1.163465, "reasoning"], [1.163503, "reasoning"], [1.175387, "reasoning"], [1.187492, "reasoning"], [1.206629, "reasoning"], [1.206677, "reasoning"], [1.225984, "answer"], [1.226023, "answer"], [1.22607, "answer"], [1.226104, "answer"], [1.245092, "answer"], [1.245124, "answer"], [1.245159, "answer"], [1.264966, "answer"], [1.283461, "answer"], [1.283494, "answer"], [1.283524, "answer"], [1.301822, "answer"], [1.301855, "answer"], [1.301894, "answer"], [1.301932, "answer"], [1.320453, "answer"], [1.32049, "answer"], [1.320526, "answer"], [1.33922, "answer"], [1.339255, "answer"], [1.33929, "answer"], [1.339323, "answer"], [1.35834, "answer"], [1.358376, "answer"], [1.374939, "answer"], [1.37497, "answer"], [1.375002, "answer"], [1.386678, "answer"], [1.405073, "answer"], [1.405108, "answer"], [1.405142, "answer"], [1.405175, "answer"], [1.424437, "answer"], [1.42447, "answer"], [1.424522, "answer"], [1.443422, "answer"], [1.443454, "answer"], [1.443485, "answer"], [1.443518, "answer"], [1.455003, "answer"], [1.469409, "answer"], [1.469443, "answer"], [1.487649, "answer"], [1.506516, "answer"], [1.506549, "answer"], [1.506585, "answer"], [1.525404, "answer"], [1.525436, "answer"], [1.52547, "answer"], [1.525503, "answer"], [1.544272, "answer"], [1.563171, "answer"]]} +{"request_id": "performance-short-r1", "phase": "performance", "case_id": "short", "request": {"stream": true, "stream_options": {"include_usage": true}, "max_tokens": 512, "seed": 1, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}}, "messages": [{"role": "user", "content": "[case performance-short-r1]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table finds a value by converting the search key into an array index.\n\nExample table size: 8 slots.\n\n1. **Hash the key**\n - Example keys: `\"apple\"` and `\"banana\"`\n - Suppose:\n - `hash(\"apple\") % 8 = 2`\n - `hash(\"banana\") % 8 = 2`\n\n2. **Go to that slot**\n - Both keys hash to slot 2.\n - This is a **collision**: different keys map to the same index.\n\n3. **Resolve the collision**\n - One common method is **chaining**: slot 2 stores a small list.\n - After insertion, slot 2 contains:\n - `(\"apple\", 5)`\n - `(\"banana\", 7)`\n\n4. **Search**\n - To find `\"banana\"`:\n - Hash `\"banana\"` to slot 2\n - Look through the list at slot 2\n - Compare keys until `\"banana\"` matches\n - Return `7`\n\nSo the value is found by hashing to a location, then handling collisions if multiple keys share that location.", "reasoning": "We need answer user: \"Explain how a hash table finds a value, including collisions and one small example. Need produce final answer. Need maybe concise but thorough. User likely wants explanation. Let's craft. Include: key -> hash -> index -> bucket. If key matches return value. Collisions: same index; handle via chaining or open addressing. Small example with table size maybe 8. Keys \"apple\", \"banana\". Show hashes modulo. Collision. Search: hash banana, probe/chain compare keys. 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theta.\nrecord000098: alpha beta gamma delta epsilon zeta eta theta.\nrecord000099: alpha beta gamma delta epsilon zeta eta theta.\nrecord000100: alpha beta gamma delta epsilon zeta eta theta.\nrecord000101: alpha beta gamma delta epsilon zeta eta theta.\nrecord000102: alpha beta gamma delta epsilon zeta eta theta.\nrecord000103: alpha beta gamma delta epsilon zeta eta theta.\nrecord000104: alpha beta gamma delta epsilon zeta eta theta.\nrecord000105: alpha beta gamma delta epsilon zeta eta theta.\nrecord000106: alpha beta gamma delta epsilon zeta eta theta.\nrecord000107: alpha beta gamma delta epsilon zeta eta theta.\nrecord000108: alpha beta gamma delta epsilon zeta eta theta.\nrecord000109: alpha beta gamma delta epsilon zeta eta theta.\nrecord000110: alpha beta gamma delta epsilon zeta eta theta.\nrecord000111: alpha beta gamma delta epsilon zeta eta theta.\nrecord000112: alpha beta gamma delta epsilon zeta eta theta.\nrecord000113: alpha beta gamma delta epsilon zeta eta theta.\nrecord000114: alpha beta gamma delta epsilon zeta eta theta.\nrecord000115: alpha beta gamma delta epsilon zeta eta theta.\nrecord000116: alpha beta gamma delta epsilon zeta eta theta.\nrecord000117: alpha beta gamma delta epsilon zeta eta theta.\nrecord000118: alpha beta gamma delta epsilon zeta eta theta.\nrecord000119: alpha beta gamma delta epsilon zeta eta theta.\nrecord000120: alpha beta gamma delta epsilon zeta eta theta.\nrecord000121: alpha beta gamma delta epsilon zeta eta theta.\nrecord000122: alpha beta gamma delta epsilon zeta eta theta.\nrecord000123: alpha beta gamma delta epsilon zeta eta theta.\nrecord000124: alpha beta gamma delta epsilon zeta eta theta.\nrecord000125: alpha beta gamma delta epsilon zeta eta theta.\nrecord000126: alpha beta gamma delta epsilon zeta eta theta.\nrecord000127: alpha beta gamma delta epsilon zeta eta theta.\nrecord000128: alpha beta gamma delta epsilon zeta eta theta.\nrecord000129: alpha beta gamma delta epsilon zeta eta theta.\nrecord000130: alpha beta gamma delta epsilon zeta eta theta.\nrecord000131: alpha beta gamma delta epsilon zeta eta theta.\nrecord000132: alpha beta gamma delta epsilon zeta eta theta.\nrecord000133: alpha beta gamma delta epsilon zeta eta theta.\nrecord000134: alpha beta gamma delta epsilon zeta eta theta.\nrecord000135: alpha beta gamma delta epsilon zeta eta theta.\nrecord000136: alpha beta gamma delta epsilon zeta eta theta.\nrecord000137: alpha beta gamma delta epsilon zeta eta theta.\nrecord000138: alpha beta gamma delta epsilon zeta eta theta.\nrecord000139: alpha beta gamma delta epsilon zeta eta theta.\nrecord000140: alpha beta gamma delta epsilon zeta eta theta.\nrecord000141: alpha beta gamma delta epsilon zeta eta theta.\nrecord000142: alpha beta gamma delta epsilon zeta eta theta.\nrecord000143: alpha beta gamma delta epsilon zeta eta theta.\nrecord000144: alpha beta gamma delta epsilon zeta eta theta.\nrecord000145: alpha beta gamma delta epsilon zeta eta theta.\nrecord000146: alpha beta gamma delta epsilon zeta eta theta.\nrecord000147: alpha beta gamma delta epsilon zeta eta theta.\nrecord000148: alpha beta gamma delta epsilon zeta eta theta.\nrecord000149: alpha beta gamma delta epsilon zeta eta theta.\nrecord000150: alpha beta gamma delta epsilon zeta eta theta.\nrecord000151: alpha beta gamma delta epsilon zeta eta theta.\nrecord000152: alpha beta gamma delta epsilon zeta eta theta.\nrecord000153: alpha beta gamma delta epsilon zeta eta theta.\nrecord000154: alpha beta gamma delta epsilon zeta eta theta.\nrecord000155: alpha beta gamma delta epsilon zeta eta theta.\nrecord000156: alpha beta gamma delta epsilon zeta eta theta.\nrecord000157: alpha beta gamma delta epsilon zeta eta theta.\nrecord000158: alpha beta gamma delta epsilon zeta eta theta.\nrecord000159: alpha beta gamma delta epsilon zeta eta theta.\nrecord000160: alpha beta gamma delta epsilon zeta eta theta.\nrecord000161: alpha beta gamma delta epsilon zeta eta theta.\nrecord000162: alpha beta gamma delta epsilon zeta eta theta.\nrecord000163: alpha beta gamma delta epsilon zeta eta theta.\nrecord000164: alpha beta gamma delta epsilon zeta eta theta.\nrecord000165: alpha beta gamma delta epsilon zeta eta theta.\nrecord000166: alpha beta gamma delta epsilon zeta eta theta.\nrecord000167: alpha beta gamma delta epsilon zeta eta theta.\nrecord000168: alpha beta gamma delta epsilon zeta eta theta.\nrecord000169: alpha beta gamma delta epsilon zeta eta theta.\nrecord000170: alpha beta gamma delta epsilon zeta eta theta.\nrecord000171: alpha beta gamma delta epsilon zeta eta theta.\nrecord000172: alpha beta gamma delta epsilon zeta eta theta.\nrecord000173: alpha beta gamma delta epsilon zeta eta theta.\nrecord000174: alpha beta gamma delta epsilon zeta eta theta.\nrecord000175: alpha beta gamma delta epsilon zeta eta theta.\nrecord000176: alpha beta gamma delta epsilon zeta eta theta.\nrecord000177: alpha beta gamma delta epsilon zeta eta theta.\nrecord000178: alpha beta gamma delta epsilon zeta eta theta.\nrecord000179: alpha beta gamma delta epsilon zeta eta theta.\nrecord000180: alpha beta gamma delta epsilon zeta eta theta.\nrecord000181: alpha beta gamma delta epsilon zeta eta theta.\nrecord000182: alpha beta gamma delta epsilon zeta eta theta.\nrecord000183: alpha beta gamma delta epsilon zeta eta theta.\nrecord000184: alpha beta gamma delta epsilon zeta eta theta.\nrecord000185: alpha beta gamma delta epsilon zeta eta theta.\nrecord000186: alpha beta gamma delta epsilon zeta eta theta.\nrecord000187: alpha beta gamma delta epsilon zeta eta theta.\nrecord000188: alpha beta gamma delta epsilon zeta eta theta.\nrecord000189: alpha beta gamma delta epsilon zeta eta theta.\nrecord000190: alpha beta gamma delta epsilon zeta eta theta.\nrecord000191: alpha beta gamma delta epsilon zeta eta theta.\nrecord000192: alpha beta gamma delta epsilon zeta eta theta.\nrecord000193: alpha beta gamma delta epsilon zeta eta theta.\nrecord000194: alpha beta gamma delta epsilon zeta eta theta.\nrecord000195: alpha beta gamma delta epsilon zeta eta theta.\nrecord000196: alpha beta gamma delta epsilon zeta eta theta.\nrecord000197: alpha beta gamma delta epsilon zeta eta theta.\nrecord000198: alpha beta gamma delta epsilon zeta eta theta.\nrecord000199: alpha beta gamma delta epsilon zeta eta theta.\nrecord000200: alpha beta gamma delta epsilon zeta eta theta.\nrecord000201: alpha beta gamma delta epsilon zeta eta theta.\nrecord000202: alpha beta gamma delta epsilon zeta eta theta.\nrecord000203: alpha beta gamma delta epsilon zeta eta theta.\nrecord000204: alpha beta gamma delta epsilon zeta eta theta.\nrecord000205: alpha beta gamma delta epsilon zeta eta theta.\nrecord000206: alpha beta gamma delta epsilon zeta eta theta.\nrecord000207: alpha beta gamma delta epsilon zeta eta theta.\nrecord000208: alpha beta gamma delta epsilon zeta eta theta.\nrecord000209: alpha beta gamma delta epsilon zeta eta theta.\nrecord000210: alpha beta gamma delta epsilon zeta eta theta.\nrecord000211: alpha beta gamma delta epsilon zeta eta theta.\nSummarize the structure of these records and explain how to look up a record by its ID."}], "tools": null, "final_answer": "The records have a simple, uniform structure:\n\n- **Line format:** \n `record<6-digit zero-padded ID>: alpha beta gamma delta epsilon zeta eta theta.`\n\n- **Components:**\n - `record` — fixed prefix\n - `000001` through `000211` — zero-padded 6-digit numeric ID\n - `:` — separator between ID and payload\n - Payload — always the same 8 words:\n 1. alpha\n 2. beta\n 3. gamma\n 4. delta\n 5. epsilon\n 6. zeta\n 7. eta\n 8. theta\n\n- **Important trait:** \n Every record currently has the same content except for its numeric ID.\n\nTo look up a record by its ID:\n\n1. **Convert the ID to the expected format.** \n If the ID is numeric, zero-pad it to 6 digits.\n\n Example:\n - `42` → `000042`\n - `199` → `000", "reasoning": "We need answer user's request. User provided many records: format \"record000001: alpha beta gamma delta epsilon zeta eta theta.\" etc up to 211, and asks: \"Summarize the structure of these records and explain how to look up a record by its ID.\" Need provide concise but detailed. Need final only. Analyze in English? User English. Need maybe mention all records have identical payload, 8 fields after colon, fixed zero-padded six-digit ID after record prefix. Lookup by ID: exact match prefix+zero-padded ID; retrieve line, parse ID and fields; in programming regex ^record(\\d{6}): (.*)$ or dictionary mapping. Could mention ID numeric value maps to line order: line n corresponds to record00000n for n=1..211 (assuming sequential). If ID provided as e.g. 42, pad to 000042; if string, normalize. For missing outside range not present. Also maybe summarize: each record has identifier and value list, no nested data. Need maybe mention if want look up by ID manually: scan or use find/grep: grep '^record000042:'. Could be enough. Ensure final answers.\n", "tool_calls": [], "finish_reason": "length", "usage": {"prompt_tokens": 4093, "completion_tokens": 512, "total_tokens": 4605, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 4093, "prompt_ms": 2130.2, "prompt_per_token_ms": 0.52, "prompt_per_second": 1921.4, "predicted_n": 512, "predicted_ms": 3747.1, "predicted_per_token_ms": 7.319, "predicted_per_second": 136.6, "draft_n": 380, "draft_n_accepted": 274}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 5.883798, "first_delta": {"offset_s": 2.147292, "kind": "reasoning"}, "first_answer_offset_s": 4.3526, "client_events": [[2.147292, "reasoning"], [2.165301, "reasoning"], [2.165321, "reasoning"], [2.165364, "reasoning"], [2.165401, "reasoning"], [2.184326, "reasoning"], [2.184341, "reasoning"], [2.18435, "reasoning"], [2.184359, "reasoning"], [2.200447, "reasoning"], [2.200479, "reasoning"], [2.20052, "reasoning"], [2.218834, "reasoning"], 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theta.\nrecord000806: alpha beta gamma delta epsilon zeta eta theta.\nrecord000807: alpha beta gamma delta epsilon zeta eta theta.\nrecord000808: alpha beta gamma delta epsilon zeta eta theta.\nrecord000809: alpha beta gamma delta epsilon zeta eta theta.\nrecord000810: alpha beta gamma delta epsilon zeta eta theta.\nrecord000811: alpha beta gamma delta epsilon zeta eta theta.\nrecord000812: alpha beta gamma delta epsilon zeta eta theta.\nrecord000813: alpha beta gamma delta epsilon zeta eta theta.\nrecord000814: alpha beta gamma delta epsilon zeta eta theta.\nrecord000815: alpha beta gamma delta epsilon zeta eta theta.\nrecord000816: alpha beta gamma delta epsilon zeta eta theta.\nrecord000817: alpha beta gamma delta epsilon zeta eta theta.\nrecord000818: alpha beta gamma delta epsilon zeta eta theta.\nrecord000819: alpha beta gamma delta epsilon zeta eta theta.\nrecord000820: alpha beta gamma delta epsilon zeta eta theta.\nrecord000821: alpha beta gamma delta epsilon zeta eta theta.\nrecord000822: alpha beta gamma delta epsilon zeta eta theta.\nrecord000823: alpha beta gamma delta epsilon zeta eta theta.\nrecord000824: alpha beta gamma delta epsilon zeta eta theta.\nrecord000825: alpha beta gamma delta epsilon zeta eta theta.\nrecord000826: alpha beta gamma delta epsilon zeta eta theta.\nrecord000827: alpha beta gamma delta epsilon zeta eta theta.\nrecord000828: alpha beta gamma delta epsilon zeta eta theta.\nrecord000829: alpha beta gamma delta epsilon zeta eta theta.\nrecord000830: alpha beta gamma delta epsilon zeta eta theta.\nrecord000831: alpha beta gamma delta epsilon zeta eta theta.\nrecord000832: alpha beta gamma delta epsilon zeta eta theta.\nrecord000833: alpha beta gamma delta epsilon zeta eta theta.\nrecord000834: alpha beta gamma delta epsilon zeta eta theta.\nrecord000835: alpha beta gamma delta epsilon zeta eta theta.\nrecord000836: alpha beta gamma delta epsilon zeta eta theta.\nrecord000837: alpha beta gamma delta epsilon zeta eta theta.\nrecord000838: alpha beta gamma delta epsilon zeta eta theta.\nrecord000839: alpha beta gamma delta epsilon zeta eta theta.\nrecord000840: alpha beta gamma delta epsilon zeta eta theta.\nrecord000841: alpha beta gamma delta epsilon zeta eta theta.\nrecord000842: alpha beta gamma delta epsilon zeta eta theta.\nrecord000843: alpha beta gamma delta epsilon zeta eta theta.\nrecord000844: alpha beta gamma delta epsilon zeta eta theta.\nrecord000845: alpha beta gamma delta epsilon zeta eta theta.\nrecord000846: alpha beta gamma delta epsilon zeta eta theta.\nrecord000847: alpha beta gamma delta epsilon zeta eta theta.\nrecord000848: alpha beta gamma delta epsilon zeta eta theta.\nrecord000849: alpha beta gamma delta epsilon zeta eta theta.\nrecord000850: alpha beta gamma delta epsilon zeta eta theta.\nrecord000851: alpha beta gamma delta epsilon zeta eta theta.\nrecord000852: alpha beta gamma delta epsilon zeta eta theta.\nrecord000853: alpha beta gamma delta epsilon zeta eta theta.\nrecord000854: alpha beta gamma delta epsilon zeta eta theta.\nrecord000855: alpha beta gamma delta epsilon zeta eta theta.\nrecord000856: alpha beta gamma delta epsilon zeta eta theta.\nrecord000857: alpha beta gamma delta epsilon zeta eta theta.\nrecord000858: alpha beta gamma delta epsilon zeta eta theta.\nSummarize the structure of these records and explain how to look up a record by its ID."}], "tools": null, "final_answer": "The records have a very simple, uniform structure:\n\n```text\nrecordNNNNNN: alpha beta gamma delta epsilon zeta eta theta.\n```\n\n### Record structure\n\nEach line represents one record and has two logical parts:\n\n1. **Record ID**\n - Format: `recordNNNNNN`\n - `record` is a fixed prefix.\n - `NNNNNN` is a six-digit, zero-padded numeric ID.\n - Example IDs:\n ```text\n record000001\n record000042\n record000858\n ```\n\n2. **Record payload**\n - After the ID comes a colon and space:\n ```text\n : \n", "reasoning": "We need answer user. User provided a long list of records from record000001 to record000858, each identical: \"alpha beta gamma delta epsilon zeta eta theta.\" Then asks: Summarize the structure of these records and explain how to look up a record by its ID.\n\nNeed produce final answer. Need maybe analyze content. It's simple. Need mention each record line: ID token recordNNNNNN colon space then fixed payload of eight Greek letter words separated by spaces ending period. IDs sequential zero-padded six digits from 000001 to 000858 inclusive. Total 858 records, no variations. Lookup by ID: exact string match or extract ID field; e.g. grep \"^record000123: \" file or search for recordNNNNNN; since payload constant, record by ID can be generated directly as `record%06d: alpha beta gamma delta epsilon zeta eta theta.` if within range. Need maybe mention ID uniqueness, format. Also if lookup in memory: parse line split at colon. Provide example. Need final concise but thorough. Ensure not overdo? Desired 9 so detailed. Could include pseudo steps. Need maybe address case performance? Not relevant. Maybe mention if many duplicate payload, lookup O(1) possible. Also caution IDs zero-padded six digits. Need maybe say record ID appears only at start of line. Let's craft final with structure, ID range, lookup methods, formula, example record000123, edge cases: IDs 1-858 valid; zero-padded; if no leading zeros normalize.\n", "tool_calls": [], "finish_reason": "length", "usage": {"prompt_tokens": 16387, "completion_tokens": 512, "total_tokens": 16899, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 16387, "prompt_ms": 5103.2, "prompt_per_token_ms": 0.311, "prompt_per_second": 3211.1, "predicted_n": 512, "predicted_ms": 4004.1, "predicted_per_token_ms": 7.821, "predicted_per_second": 127.9, "draft_n": 431, "draft_n_accepted": 267}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 9.122463, "first_delta": {"offset_s": 5.129108, "kind": "reasoning"}, "first_answer_offset_s": 8.035761, "client_events": [[5.129108, "reasoning"], [5.147515, "reasoning"], [5.147537, "reasoning"], [5.147583, "reasoning"], [5.147623, "reasoning"], [5.162084, "reasoning"], [5.162099, "reasoning"], 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"reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}}, "messages": [{"role": "user", "content": "[case performance-short-r2]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table finds a value by using the key to compute a hash code, then mapping that hash to a bucket/index in an array. It stores key-value pairs in that bucket. On lookup, it hashes the key again, goes to the same bucket, and checks for a matching key.\n\nIf two different keys hash to the same index, that’s a collision. Common fixes include:\n\n- Separate chaining: each bucket holds a list of entries.\n- Open addressing: if a bucket is full, probe another bucket.\n\nExample with table size 7 and hash `length(key) % 7`:\n\n- Insert `\"cat\"` → hash = `3 % 7 = 3` → store in bucket 3.\n- Insert `\"dog\"` → hash = `3 % 7 = 3` → collision with `\"cat\"`.\n\nWith chaining, bucket 3 contains `[\"cat\", \"dog\"]`. To find `\"dog\"`, hash it to bucket 3, scan the list, compare keys, and return its value.", "reasoning": "We need answer user's request: \"Explain how a hash table finds a value, including collisions and one small example.\" Need produce final concise but informative. Need include hash table lookup process: compute hash of key, map to bucket/index, retrieve stored entry, compare key (handle keys may hash same), collisions: separate chaining or open addressing. Example small: table size 7, hash function len(key)%7 maybe keys: \"cat\" length 3 => index 3. Insert \"dog\" length 3 collision same index 3: if chaining add linked list; lookup dog hash to 3, traverse list compare \"dog\". Or open addressing probe next slot. Need be careful. The prompt [case performance-short-r2] likely wants short. Answer in plain English. No need code. Final only.\n", "tool_calls": [], "finish_reason": "stop", "usage": {"prompt_tokens": 77, "completion_tokens": 385, "total_tokens": 462, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 77, "prompt_ms": 479.8, "prompt_per_token_ms": 6.231, "prompt_per_second": 160.5, "predicted_n": 385, "predicted_ms": 3022.2, "predicted_per_token_ms": 7.85, "predicted_per_second": 127.4, "draft_n": 344, "draft_n_accepted": 201}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 3.50503, "first_delta": {"offset_s": 0.49378, "kind": "reasoning"}, "first_answer_offset_s": 1.962745, "client_events": [[0.49378, "reasoning"], [0.511897, "reasoning"], [0.511924, "reasoning"], [0.511958, "reasoning"], [0.511993, "reasoning"], [0.530568, "reasoning"], [0.530588, "reasoning"], [0.530633, "reasoning"], [0.530687, "reasoning"], [0.549626, "reasoning"], [0.549646, "reasoning"], [0.549701, "reasoning"], [0.549736, "reasoning"], [0.568461, "reasoning"], 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beta gamma delta epsilon zeta eta theta.\nrecord000003: alpha beta gamma delta epsilon zeta eta theta.\nrecord000004: alpha beta gamma delta epsilon zeta eta theta.\nrecord000005: alpha beta gamma delta epsilon zeta eta theta.\nrecord000006: alpha beta gamma delta epsilon zeta eta theta.\nrecord000007: alpha beta gamma delta epsilon zeta eta theta.\nrecord000008: alpha beta gamma delta epsilon zeta eta theta.\nrecord000009: alpha beta gamma delta epsilon zeta eta theta.\nrecord000010: alpha beta gamma delta epsilon zeta eta theta.\nrecord000011: alpha beta gamma delta epsilon zeta eta theta.\nrecord000012: alpha beta gamma delta epsilon zeta eta theta.\nrecord000013: alpha beta gamma delta epsilon zeta eta theta.\nrecord000014: alpha beta gamma delta epsilon zeta eta theta.\nrecord000015: alpha beta gamma delta epsilon zeta eta theta.\nrecord000016: alpha beta gamma delta epsilon zeta eta theta.\nrecord000017: alpha beta gamma delta epsilon zeta eta theta.\nrecord000018: alpha beta gamma delta epsilon zeta eta theta.\nrecord000019: alpha beta gamma delta epsilon zeta eta theta.\nrecord000020: alpha beta gamma delta epsilon zeta eta theta.\nrecord000021: alpha beta gamma delta epsilon zeta eta theta.\nrecord000022: alpha beta gamma delta epsilon zeta eta theta.\nrecord000023: alpha beta gamma delta epsilon zeta eta theta.\nrecord000024: alpha beta gamma delta epsilon zeta eta theta.\nrecord000025: alpha beta gamma delta epsilon zeta eta theta.\nrecord000026: alpha beta gamma delta epsilon zeta eta theta.\nrecord000027: alpha beta gamma delta epsilon zeta eta theta.\nrecord000028: alpha beta gamma delta epsilon zeta eta theta.\nrecord000029: alpha beta gamma delta epsilon zeta eta theta.\nrecord000030: alpha beta gamma delta epsilon zeta eta theta.\nrecord000031: alpha beta gamma delta epsilon zeta eta theta.\nrecord000032: alpha beta gamma delta epsilon zeta eta theta.\nrecord000033: alpha beta gamma delta epsilon zeta eta theta.\nrecord000034: alpha beta gamma delta epsilon zeta eta theta.\nrecord000035: alpha beta gamma delta epsilon zeta eta theta.\nrecord000036: alpha beta gamma delta epsilon zeta eta theta.\nrecord000037: alpha beta gamma delta epsilon zeta eta theta.\nrecord000038: alpha beta gamma delta epsilon zeta eta theta.\nrecord000039: alpha beta gamma delta epsilon zeta eta theta.\nrecord000040: alpha beta gamma delta epsilon zeta eta theta.\nrecord000041: alpha beta gamma delta epsilon zeta eta theta.\nrecord000042: alpha beta gamma delta epsilon zeta eta theta.\nrecord000043: alpha beta gamma delta epsilon zeta eta theta.\nrecord000044: alpha beta gamma delta epsilon zeta eta theta.\nrecord000045: alpha beta gamma delta epsilon zeta eta theta.\nrecord000046: alpha beta gamma delta epsilon zeta eta theta.\nrecord000047: alpha beta gamma delta epsilon zeta eta theta.\nrecord000048: alpha beta gamma delta epsilon zeta eta theta.\nrecord000049: alpha beta gamma delta epsilon zeta eta theta.\nrecord000050: alpha beta gamma delta epsilon zeta eta theta.\nrecord000051: alpha beta gamma delta epsilon zeta eta theta.\nrecord000052: alpha beta gamma delta epsilon zeta eta theta.\nrecord000053: alpha beta gamma delta epsilon zeta eta theta.\nrecord000054: alpha beta gamma delta epsilon zeta eta theta.\nrecord000055: alpha beta gamma delta epsilon zeta eta theta.\nrecord000056: alpha beta gamma delta epsilon zeta eta theta.\nrecord000057: alpha beta gamma delta epsilon zeta eta theta.\nrecord000058: alpha beta gamma delta epsilon zeta eta theta.\nrecord000059: alpha beta gamma delta epsilon zeta eta theta.\nrecord000060: alpha beta gamma delta epsilon zeta eta theta.\nrecord000061: alpha beta gamma delta epsilon zeta eta theta.\nrecord000062: alpha beta gamma delta epsilon zeta eta theta.\nrecord000063: alpha beta gamma delta epsilon zeta eta theta.\nrecord000064: alpha beta gamma delta epsilon zeta eta theta.\nrecord000065: alpha beta gamma delta epsilon zeta eta theta.\nrecord000066: alpha beta gamma delta epsilon zeta eta theta.\nrecord000067: alpha beta gamma delta epsilon zeta eta theta.\nrecord000068: alpha beta gamma delta epsilon zeta eta theta.\nrecord000069: alpha beta gamma delta epsilon zeta eta theta.\nrecord000070: alpha beta gamma delta epsilon zeta eta theta.\nrecord000071: alpha beta gamma delta epsilon zeta eta theta.\nrecord000072: alpha beta gamma delta epsilon zeta eta theta.\nrecord000073: alpha beta gamma delta epsilon zeta eta theta.\nrecord000074: alpha beta gamma delta epsilon zeta eta theta.\nrecord000075: alpha beta gamma delta epsilon zeta eta theta.\nrecord000076: alpha beta gamma delta epsilon zeta eta theta.\nrecord000077: alpha beta gamma delta epsilon zeta eta theta.\nrecord000078: alpha beta gamma delta epsilon zeta eta theta.\nrecord000079: alpha beta gamma delta epsilon zeta eta theta.\nrecord000080: alpha beta gamma delta epsilon zeta eta theta.\nrecord000081: alpha beta gamma delta epsilon zeta eta theta.\nrecord000082: alpha beta gamma delta epsilon zeta eta 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theta.\nrecord000099: alpha beta gamma delta epsilon zeta eta theta.\nrecord000100: alpha beta gamma delta epsilon zeta eta theta.\nrecord000101: alpha beta gamma delta epsilon zeta eta theta.\nrecord000102: alpha beta gamma delta epsilon zeta eta theta.\nrecord000103: alpha beta gamma delta epsilon zeta eta theta.\nrecord000104: alpha beta gamma delta epsilon zeta eta theta.\nrecord000105: alpha beta gamma delta epsilon zeta eta theta.\nrecord000106: alpha beta gamma delta epsilon zeta eta theta.\nrecord000107: alpha beta gamma delta epsilon zeta eta theta.\nrecord000108: alpha beta gamma delta epsilon zeta eta theta.\nrecord000109: alpha beta gamma delta epsilon zeta eta theta.\nrecord000110: alpha beta gamma delta epsilon zeta eta theta.\nrecord000111: alpha beta gamma delta epsilon zeta eta theta.\nrecord000112: alpha beta gamma delta epsilon zeta eta theta.\nrecord000113: alpha beta gamma delta epsilon zeta eta theta.\nrecord000114: alpha beta gamma delta epsilon zeta eta 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theta.\nrecord000163: alpha beta gamma delta epsilon zeta eta theta.\nrecord000164: alpha beta gamma delta epsilon zeta eta theta.\nrecord000165: alpha beta gamma delta epsilon zeta eta theta.\nrecord000166: alpha beta gamma delta epsilon zeta eta theta.\nrecord000167: alpha beta gamma delta epsilon zeta eta theta.\nrecord000168: alpha beta gamma delta epsilon zeta eta theta.\nrecord000169: alpha beta gamma delta epsilon zeta eta theta.\nrecord000170: alpha beta gamma delta epsilon zeta eta theta.\nrecord000171: alpha beta gamma delta epsilon zeta eta theta.\nrecord000172: alpha beta gamma delta epsilon zeta eta theta.\nrecord000173: alpha beta gamma delta epsilon zeta eta theta.\nrecord000174: alpha beta gamma delta epsilon zeta eta theta.\nrecord000175: alpha beta gamma delta epsilon zeta eta theta.\nrecord000176: alpha beta gamma delta epsilon zeta eta theta.\nrecord000177: alpha beta gamma delta epsilon zeta eta theta.\nrecord000178: alpha beta gamma delta epsilon zeta eta theta.\nrecord000179: alpha beta gamma delta epsilon zeta eta theta.\nrecord000180: alpha beta gamma delta epsilon zeta eta theta.\nrecord000181: alpha beta gamma delta epsilon zeta eta theta.\nrecord000182: alpha beta gamma delta epsilon zeta eta theta.\nrecord000183: alpha beta gamma delta epsilon zeta eta theta.\nrecord000184: alpha beta gamma delta epsilon zeta eta theta.\nrecord000185: alpha beta gamma delta epsilon zeta eta theta.\nrecord000186: alpha beta gamma delta epsilon zeta eta theta.\nrecord000187: alpha beta gamma delta epsilon zeta eta theta.\nrecord000188: alpha beta gamma delta epsilon zeta eta theta.\nrecord000189: alpha beta gamma delta epsilon zeta eta theta.\nrecord000190: alpha beta gamma delta epsilon zeta eta theta.\nrecord000191: alpha beta gamma delta epsilon zeta eta theta.\nrecord000192: alpha beta gamma delta epsilon zeta eta theta.\nrecord000193: alpha beta gamma delta epsilon zeta eta theta.\nrecord000194: alpha beta gamma delta epsilon zeta eta theta.\nrecord000195: alpha beta gamma delta epsilon zeta eta theta.\nrecord000196: alpha beta gamma delta epsilon zeta eta theta.\nrecord000197: alpha beta gamma delta epsilon zeta eta theta.\nrecord000198: alpha beta gamma delta epsilon zeta eta theta.\nrecord000199: alpha beta gamma delta epsilon zeta eta theta.\nrecord000200: alpha beta gamma delta epsilon zeta eta theta.\nrecord000201: alpha beta gamma delta epsilon zeta eta theta.\nrecord000202: alpha beta gamma delta epsilon zeta eta theta.\nrecord000203: alpha beta gamma delta epsilon zeta eta theta.\nrecord000204: alpha beta gamma delta epsilon zeta eta theta.\nrecord000205: alpha beta gamma delta epsilon zeta eta theta.\nrecord000206: alpha beta gamma delta epsilon zeta eta theta.\nrecord000207: alpha beta gamma delta epsilon zeta eta theta.\nrecord000208: alpha beta gamma delta epsilon zeta eta theta.\nrecord000209: alpha beta gamma delta epsilon zeta eta theta.\nrecord000210: alpha beta gamma delta epsilon zeta eta theta.\nrecord000211: alpha beta gamma delta epsilon zeta eta theta.\nSummarize the structure of these records and explain how to look up a record by its ID."}], "tools": null, "final_answer": "The records are plain text, one record per line, with a simple, uniform structure:\n\n```text\nrecord000001: alpha beta gamma delta epsilon zeta eta theta.\n```\n\nEach line has these parts:\n\n1. **Record ID**\n - Format: `record` followed by a six-digit number.\n - Example IDs: `record000001`, `record000042`, `record0", "reasoning": "We need respond to user: \"[case performance-prompt-4k-r2]\nrecord000001: alpha beta gamma delta epsilon zeta eta theta.\n... record000211: ...\nSummarize the structure of these records and explain how to look up a record by its ID.\"\n\nWe need produce final answer. Need likely concise but with details. User provided many identical records. Need summarize structure and how to look up by ID. No actual lookup requested specific ID? Need explain ID format: record####### six-digit zero-padded, colon, content fields? Each line: \"record000001: alpha beta gamma delta epsilon zeta eta theta.\" Fields: fixed prefix record, zero-padded sequence number, colon, space, eight Greek letter words separated by spaces, period. Same payload for all 1..211? Check records from 1 to 211 all same. Need mention contiguous IDs? records from 000001 to 000211 inclusive. Lookup: parse ID, extract numeric part, convert to integer, retrieve line corresponding to that sequence; IDs are zero-padded to six digits. To look up record000042, match line beginning exactly \"record000042:\" and read payload after colon. Could also calculate if contiguous: payload is constant, but generally index = id number - 1 if 1-based. Need mention case: if ID missing? maybe validate range and padding. Need maybe include example. Ensure not too verbose but enough.\n\nNeed maybe address \"structure of these records\": each record line consists of ID token, separator, body sentence, punctuation? Body is identical: alpha beta gamma delta epsilon zeta eta theta. Need mention no nested structure, plain text line-oriented. IDs monotonically increasing by 1, no gaps, total 211 records.\n\nFinal in English. No markdown? can use bullet list.\n", "tool_calls": [], "finish_reason": "length", "usage": {"prompt_tokens": 4093, "completion_tokens": 512, "total_tokens": 4605, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 4093, "prompt_ms": 2139.7, "prompt_per_token_ms": 0.523, "prompt_per_second": 1912.9, "predicted_n": 512, "predicted_ms": 3991.1, "predicted_per_token_ms": 7.795, "predicted_per_second": 128.3, "draft_n": 385, "draft_n_accepted": 256}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 6.136793, "first_delta": {"offset_s": 2.156599, "kind": "reasoning"}, "first_answer_offset_s": 5.545694, "client_events": [[2.156599, "reasoning"], [2.1746, "reasoning"], [2.174629, "reasoning"], [2.192767, "reasoning"], [2.192787, "reasoning"], [2.19283, "reasoning"], [2.21108, "reasoning"], [2.229664, "reasoning"], [2.229685, "reasoning"], [2.229725, "reasoning"], [2.229768, "reasoning"], [2.248484, "reasoning"], [2.248504, 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+{"request_id": "performance-prompt-16k-r2", "phase": "performance", "case_id": "prompt-16k", "request": {"stream": true, "stream_options": {"include_usage": true}, "max_tokens": 512, "seed": 2, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}}, "messages": [{"role": "user", "content": "[case performance-prompt-16k-r2]\nrecord000001: alpha beta gamma delta epsilon zeta eta theta.\nrecord000002: alpha beta gamma delta epsilon zeta eta theta.\nrecord000003: alpha beta gamma delta epsilon zeta eta theta.\nrecord000004: alpha beta gamma delta epsilon zeta eta theta.\nrecord000005: alpha beta gamma delta epsilon zeta eta theta.\nrecord000006: alpha beta gamma delta epsilon zeta eta theta.\nrecord000007: alpha beta gamma delta epsilon zeta eta theta.\nrecord000008: alpha beta gamma delta epsilon zeta eta theta.\nrecord000009: alpha beta gamma delta epsilon zeta eta theta.\nrecord000010: alpha beta gamma delta epsilon zeta eta theta.\nrecord000011: alpha beta gamma delta epsilon zeta eta theta.\nrecord000012: alpha beta gamma delta epsilon zeta eta theta.\nrecord000013: alpha beta gamma delta epsilon zeta eta theta.\nrecord000014: alpha beta gamma delta epsilon zeta eta theta.\nrecord000015: alpha beta gamma delta epsilon zeta eta theta.\nrecord000016: alpha beta gamma delta epsilon zeta eta theta.\nrecord000017: alpha beta gamma delta epsilon zeta eta theta.\nrecord000018: alpha beta gamma delta epsilon zeta eta theta.\nrecord000019: alpha beta gamma delta epsilon zeta eta theta.\nrecord000020: alpha beta gamma delta epsilon zeta eta theta.\nrecord000021: alpha beta gamma delta epsilon zeta eta theta.\nrecord000022: alpha beta gamma delta epsilon zeta eta theta.\nrecord000023: alpha beta gamma delta epsilon zeta eta theta.\nrecord000024: alpha beta gamma delta epsilon zeta eta theta.\nrecord000025: alpha beta gamma delta epsilon zeta eta theta.\nrecord000026: alpha beta gamma delta epsilon zeta eta theta.\nrecord000027: alpha beta gamma delta epsilon zeta eta theta.\nrecord000028: alpha beta gamma delta epsilon zeta eta theta.\nrecord000029: alpha beta gamma delta epsilon zeta eta theta.\nrecord000030: alpha beta gamma delta epsilon zeta eta theta.\nrecord000031: alpha beta gamma delta epsilon zeta eta theta.\nrecord000032: alpha beta gamma delta epsilon zeta eta theta.\nrecord000033: alpha beta gamma delta epsilon zeta eta theta.\nrecord000034: alpha beta gamma delta epsilon zeta eta theta.\nrecord000035: alpha beta gamma delta epsilon zeta eta theta.\nrecord000036: alpha beta gamma delta epsilon zeta eta theta.\nrecord000037: alpha beta gamma delta epsilon zeta eta theta.\nrecord000038: alpha beta gamma delta epsilon zeta eta theta.\nrecord000039: alpha beta gamma delta epsilon zeta eta theta.\nrecord000040: alpha beta gamma delta epsilon zeta eta theta.\nrecord000041: alpha beta gamma delta epsilon zeta eta theta.\nrecord000042: alpha beta gamma delta epsilon zeta eta theta.\nrecord000043: alpha beta gamma delta epsilon zeta eta theta.\nrecord000044: alpha beta gamma delta epsilon zeta eta theta.\nrecord000045: alpha beta gamma delta epsilon zeta eta theta.\nrecord000046: alpha beta gamma delta epsilon zeta eta theta.\nrecord000047: alpha beta gamma delta epsilon zeta eta theta.\nrecord000048: alpha beta gamma delta epsilon zeta eta theta.\nrecord000049: alpha beta gamma delta epsilon zeta eta theta.\nrecord000050: alpha beta gamma delta epsilon zeta eta theta.\nrecord000051: alpha beta gamma delta epsilon zeta eta theta.\nrecord000052: alpha beta gamma delta epsilon zeta eta theta.\nrecord000053: alpha beta gamma delta epsilon zeta eta theta.\nrecord000054: alpha beta gamma delta epsilon zeta eta theta.\nrecord000055: alpha beta gamma delta epsilon zeta eta theta.\nrecord000056: alpha beta gamma delta epsilon zeta eta 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theta.\nrecord000697: alpha beta gamma delta epsilon zeta eta theta.\nrecord000698: alpha beta gamma delta epsilon zeta eta theta.\nrecord000699: alpha beta gamma delta epsilon zeta eta theta.\nrecord000700: alpha beta gamma delta epsilon zeta eta theta.\nrecord000701: alpha beta gamma delta epsilon zeta eta theta.\nrecord000702: alpha beta gamma delta epsilon zeta eta theta.\nrecord000703: alpha beta gamma delta epsilon zeta eta theta.\nrecord000704: alpha beta gamma delta epsilon zeta eta theta.\nrecord000705: alpha beta gamma delta epsilon zeta eta theta.\nrecord000706: alpha beta gamma delta epsilon zeta eta theta.\nrecord000707: alpha beta gamma delta epsilon zeta eta theta.\nrecord000708: alpha beta gamma delta epsilon zeta eta theta.\nrecord000709: alpha beta gamma delta epsilon zeta eta theta.\nrecord000710: alpha beta gamma delta epsilon zeta eta theta.\nrecord000711: alpha beta gamma delta epsilon zeta eta theta.\nrecord000712: alpha beta gamma delta epsilon zeta eta theta.\nrecord000713: alpha beta gamma delta epsilon zeta eta theta.\nrecord000714: alpha beta gamma delta epsilon zeta eta theta.\nrecord000715: alpha beta gamma delta epsilon zeta eta theta.\nrecord000716: alpha beta gamma delta epsilon zeta eta theta.\nrecord000717: alpha beta gamma delta epsilon zeta eta theta.\nrecord000718: alpha beta gamma delta epsilon zeta eta theta.\nrecord000719: alpha beta gamma delta epsilon zeta eta theta.\nrecord000720: alpha beta gamma delta epsilon zeta eta theta.\nrecord000721: alpha beta gamma delta epsilon zeta eta theta.\nrecord000722: alpha beta gamma delta epsilon zeta eta theta.\nrecord000723: alpha beta gamma delta epsilon zeta eta theta.\nrecord000724: alpha beta gamma delta epsilon zeta eta theta.\nrecord000725: alpha beta gamma delta epsilon zeta eta theta.\nrecord000726: alpha beta gamma delta epsilon zeta eta theta.\nrecord000727: alpha beta gamma delta epsilon zeta eta theta.\nrecord000728: alpha beta gamma delta epsilon zeta eta 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theta.\nrecord000809: alpha beta gamma delta epsilon zeta eta theta.\nrecord000810: alpha beta gamma delta epsilon zeta eta theta.\nrecord000811: alpha beta gamma delta epsilon zeta eta theta.\nrecord000812: alpha beta gamma delta epsilon zeta eta theta.\nrecord000813: alpha beta gamma delta epsilon zeta eta theta.\nrecord000814: alpha beta gamma delta epsilon zeta eta theta.\nrecord000815: alpha beta gamma delta epsilon zeta eta theta.\nrecord000816: alpha beta gamma delta epsilon zeta eta theta.\nrecord000817: alpha beta gamma delta epsilon zeta eta theta.\nrecord000818: alpha beta gamma delta epsilon zeta eta theta.\nrecord000819: alpha beta gamma delta epsilon zeta eta theta.\nrecord000820: alpha beta gamma delta epsilon zeta eta theta.\nrecord000821: alpha beta gamma delta epsilon zeta eta theta.\nrecord000822: alpha beta gamma delta epsilon zeta eta theta.\nrecord000823: alpha beta gamma delta epsilon zeta eta theta.\nrecord000824: alpha beta gamma delta epsilon zeta eta theta.\nrecord000825: alpha beta gamma delta epsilon zeta eta theta.\nrecord000826: alpha beta gamma delta epsilon zeta eta theta.\nrecord000827: alpha beta gamma delta epsilon zeta eta theta.\nrecord000828: alpha beta gamma delta epsilon zeta eta theta.\nrecord000829: alpha beta gamma delta epsilon zeta eta theta.\nrecord000830: alpha beta gamma delta epsilon zeta eta theta.\nrecord000831: alpha beta gamma delta epsilon zeta eta theta.\nrecord000832: alpha beta gamma delta epsilon zeta eta theta.\nrecord000833: alpha beta gamma delta epsilon zeta eta theta.\nrecord000834: alpha beta gamma delta epsilon zeta eta theta.\nrecord000835: alpha beta gamma delta epsilon zeta eta theta.\nrecord000836: alpha beta gamma delta epsilon zeta eta theta.\nrecord000837: alpha beta gamma delta epsilon zeta eta theta.\nrecord000838: alpha beta gamma delta epsilon zeta eta theta.\nrecord000839: alpha beta gamma delta epsilon zeta eta theta.\nrecord000840: alpha beta gamma delta epsilon zeta eta theta.\nrecord000841: alpha beta gamma delta epsilon zeta eta theta.\nrecord000842: alpha beta gamma delta epsilon zeta eta theta.\nrecord000843: alpha beta gamma delta epsilon zeta eta theta.\nrecord000844: alpha beta gamma delta epsilon zeta eta theta.\nrecord000845: alpha beta gamma delta epsilon zeta eta theta.\nrecord000846: alpha beta gamma delta epsilon zeta eta theta.\nrecord000847: alpha beta gamma delta epsilon zeta eta theta.\nrecord000848: alpha beta gamma delta epsilon zeta eta theta.\nrecord000849: alpha beta gamma delta epsilon zeta eta theta.\nrecord000850: alpha beta gamma delta epsilon zeta eta theta.\nrecord000851: alpha beta gamma delta epsilon zeta eta theta.\nrecord000852: alpha beta gamma delta epsilon zeta eta theta.\nrecord000853: alpha beta gamma delta epsilon zeta eta theta.\nrecord000854: alpha beta gamma delta epsilon zeta eta theta.\nrecord000855: alpha beta gamma delta epsilon zeta eta theta.\nrecord000856: alpha beta gamma delta epsilon zeta eta theta.\nrecord000857: alpha beta gamma delta epsilon zeta eta theta.\nrecord000858: alpha beta gamma delta epsilon zeta eta theta.\nSummarize the structure of these records and explain how to look up a record by its ID."}], "tools": null, "final_answer": "Each record is a single text line with the same structure:\n\n```text\nrecordNNNNNN: alpha beta gamma delta epsilon zeta eta theta.\n```\n\nMore specifically:\n\n- **Record ID**: `recordNNNNNN`\n - Prefix: `record`\n - Followed by a zero-padded six-digit number\n - Examples:\n - `record000001`\n - `record000123`\n - `record000858`\n\n- **Separator**: `: ` \n A colon followed by a space separates the ID from the record body.\n\n- **Body**: `alpha beta gamma delta epsilon zeta eta theta.`\n - In the supplied data, every record has the same body text.\n\n- **Overall pattern**:\n\n```text\nrecordID: payload\n```\n\n", "reasoning": "We need answer user's request. User provided huge repeated records and asks: \"Summarize the structure of these records and explain how to look up a record by its ID.\" Need likely identify each line format: recordNNNNNN: alpha beta gamma delta epsilon zeta eta theta. They want summary and lookup method. Need perhaps mention IDs are zero-padded six-digit sequential numbers from record000001 to record000858, colon-space payload. How lookup by ID: extract ID, locate line beginning with that ID followed by colon, or if sorted sequential calculate line number = integer part after record. Could describe algorithm, binary search if file sorted, grep. Maybe note if missing? In given records all same content? There is a trailing newline after last? Not relevant.\n\nNeed maybe produce concise but thorough. Need final. But let's think if any trick: [case performance-prompt-16k-r2] maybe from benchmark? They ask summarize structure and explain lookup. Could be expecting answer: each record has an identifier record000001 etc, a colon, then a space and a fixed payload of eight Greek letters? alpha beta gamma delta epsilon zeta eta theta. There are 858 records. IDs are zero-padded to 6 digits. To lookup: map ID to line via prefix or use dictionary.\n\nNeed maybe include example: record000123 -> line record000123: ... Payload maybe same across all. Could mention ID is unique key.\n\nNeed final with sections.\n", "tool_calls": [], "finish_reason": "length", "usage": {"prompt_tokens": 16387, "completion_tokens": 512, "total_tokens": 16899, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 16387, "prompt_ms": 5090.5, "prompt_per_token_ms": 0.311, "prompt_per_second": 3219.1, "predicted_n": 512, "predicted_ms": 4017.9, "predicted_per_token_ms": 7.847, "predicted_per_second": 127.4, "draft_n": 383, "draft_n_accepted": 257}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 9.123051, "first_delta": {"offset_s": 5.115963, "kind": "reasoning"}, "first_answer_offset_s": 7.897856, "client_events": [[5.115963, "reasoning"], [5.134445, "reasoning"], [5.134466, "reasoning"], [5.134494, "reasoning"], [5.134529, "reasoning"], [5.153206, "reasoning"], [5.153228, "reasoning"], [5.153241, "reasoning"], [5.153304, "reasoning"], [5.164846, "reasoning"], [5.176491, "reasoning"], 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performance-short-r3]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table finds a value by hashing the key to a bucket/index, then looking up the entry stored there. If two keys hash to the same bucket (a collision), the table resolves it—e.g., chaining puts both values in a list at that bucket, or open addressing checks nearby slots.\n\nExample: \nHash table size 4, `hash(key) = key % 4`. \n- Insert `\"A\"` → bucket 1 \n- Insert `\"B\"` → bucket 2 \n- Insert `\"C\"` → bucket 3 \n- Insert `\"E\"` → also bucket 1 → collision, so bucket 1 stores both `\"A\"` and `\"E\"` in a list. \n\nLookup `\"E\"` hashes to bucket 1, then searches that bucket’s list to find `\"E\"`.", "reasoning": "We need answer user: \"[case performance-short-r3] Explain how a hash table finds a value, including collisions and one small example.\" Need likely concise explanation. Need produce final answer. Ensure address performance-short? Maybe user expects short answer? Could be case performance-short-r3, maybe from benchmark requiring short answer? We need explain hash table finds value, including collisions and small example. Let's craft concise but complete. 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lines records 000001-000211 all same words alpha beta gamma delta epsilon zeta eta theta. Asked: \"Summarize the structure of these records and explain how to look up a record by its ID.\" Need produce concise answer. Need maybe mention ID format record####### with 6-digit zero-padded sequential numeric IDs, colon separator, payload of 8 lowercase Greek alphabet words? Let's count words: alpha(1), beta2, gamma3, delta4, epsilon5, zeta6, eta7, theta8. Payload fixed 8 tokens separated by single spaces, period at end? Each line: recordID: alpha beta gamma delta epsilon zeta eta theta. There is period after theta. Structure: identifier, colon, content. IDs from 000001 through 000211 inclusive, sequential no gaps? 211 records. All records have identical payload in provided excerpt. How to look up: parse line start before colon as key; IDs zero padded to width 6; to retrieve e.g. record000042 search exact line/record ID. If in file use grep -n '^record000042:' file; or in programming store as dictionary/map ID->payload. Note leading zeros matter: record000042 not 42. For range: zero-pad to 6 digits. If using numeric id: key = f\"record{integer:06d}\". For given max 000211; 6 digits enough. Need maybe explain lookup: if sorted by ID and contiguous, can compute line number? Since file has header? Provided has no header? Actually first line is [case performance-prompt-4k-r3]? Wait user included [case performance-prompt-4k-r3] then record lines. That first line is metadata? It says [case performance-prompt-4k-r3]\nrecord000001... So if including first line, records start line 2. For lookup by ID if sorted, line_number = ID + 1? record000001 at line 2, so line = ID+1 if metadata present. But if only records no header, line = ID. Need not overcomplicate. User asks summarize structure and explain how to look up record by ID. Mention exact string key. 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theta.\nrecord000578: alpha beta gamma delta epsilon zeta eta theta.\nrecord000579: alpha beta gamma delta epsilon zeta eta theta.\nrecord000580: alpha beta gamma delta epsilon zeta eta theta.\nrecord000581: alpha beta gamma delta epsilon zeta eta theta.\nrecord000582: alpha beta gamma delta epsilon zeta eta theta.\nrecord000583: alpha beta gamma delta epsilon zeta eta theta.\nrecord000584: alpha beta gamma delta epsilon zeta eta theta.\nrecord000585: alpha beta gamma delta epsilon zeta eta theta.\nrecord000586: alpha beta gamma delta epsilon zeta eta theta.\nrecord000587: alpha beta gamma delta epsilon zeta eta theta.\nrecord000588: alpha beta gamma delta epsilon zeta eta theta.\nrecord000589: alpha beta gamma delta epsilon zeta eta theta.\nrecord000590: alpha beta gamma delta epsilon zeta eta theta.\nrecord000591: alpha beta gamma delta epsilon zeta eta theta.\nrecord000592: alpha beta gamma delta epsilon zeta eta theta.\nrecord000593: alpha beta gamma delta epsilon zeta eta theta.\nrecord000594: alpha beta gamma delta epsilon zeta eta theta.\nrecord000595: alpha beta gamma delta epsilon zeta eta theta.\nrecord000596: alpha beta gamma delta epsilon zeta eta theta.\nrecord000597: alpha beta gamma delta epsilon zeta eta theta.\nrecord000598: alpha beta gamma delta epsilon zeta eta theta.\nrecord000599: alpha beta gamma delta epsilon zeta eta theta.\nrecord000600: alpha beta gamma delta epsilon zeta eta theta.\nrecord000601: alpha beta gamma delta epsilon zeta eta theta.\nrecord000602: alpha beta gamma delta epsilon zeta eta theta.\nrecord000603: alpha beta gamma delta epsilon zeta eta theta.\nrecord000604: alpha beta gamma delta epsilon zeta eta theta.\nrecord000605: alpha beta gamma delta epsilon zeta eta theta.\nrecord000606: alpha beta gamma delta epsilon zeta eta theta.\nrecord000607: alpha beta gamma delta epsilon zeta eta theta.\nrecord000608: alpha beta gamma delta epsilon zeta eta theta.\nrecord000609: alpha beta gamma delta epsilon zeta eta theta.\nrecord000610: alpha beta gamma delta epsilon zeta eta theta.\nrecord000611: alpha beta gamma delta epsilon zeta eta theta.\nrecord000612: alpha beta gamma delta epsilon zeta eta theta.\nrecord000613: alpha beta gamma delta epsilon zeta eta theta.\nrecord000614: alpha beta gamma delta epsilon zeta eta theta.\nrecord000615: alpha beta gamma delta epsilon zeta eta theta.\nrecord000616: alpha beta gamma delta epsilon zeta eta theta.\nrecord000617: alpha beta gamma delta epsilon zeta eta theta.\nrecord000618: alpha beta gamma delta epsilon zeta eta theta.\nrecord000619: alpha beta gamma delta epsilon zeta eta theta.\nrecord000620: alpha beta gamma delta epsilon zeta eta theta.\nrecord000621: alpha beta gamma delta epsilon zeta eta theta.\nrecord000622: alpha beta gamma delta epsilon zeta eta theta.\nrecord000623: alpha beta gamma delta epsilon zeta eta theta.\nrecord000624: alpha beta gamma delta epsilon zeta eta theta.\nrecord000625: alpha beta gamma delta epsilon zeta eta theta.\nrecord000626: alpha beta gamma delta epsilon zeta eta theta.\nrecord000627: alpha beta gamma delta epsilon zeta eta theta.\nrecord000628: alpha beta gamma delta epsilon zeta eta theta.\nrecord000629: alpha beta gamma delta epsilon zeta eta theta.\nrecord000630: alpha beta gamma delta epsilon zeta eta theta.\nrecord000631: alpha beta gamma delta epsilon zeta eta theta.\nrecord000632: alpha beta gamma delta epsilon zeta eta theta.\nrecord000633: alpha beta gamma delta epsilon zeta eta theta.\nrecord000634: alpha beta gamma delta epsilon zeta eta theta.\nrecord000635: alpha beta gamma delta epsilon zeta eta theta.\nrecord000636: alpha beta gamma delta epsilon zeta eta theta.\nrecord000637: alpha beta gamma delta epsilon zeta eta theta.\nrecord000638: alpha beta gamma delta epsilon zeta eta theta.\nrecord000639: alpha beta gamma delta epsilon zeta eta theta.\nrecord000640: alpha beta gamma delta epsilon zeta eta theta.\nrecord000641: alpha beta gamma delta epsilon zeta eta theta.\nrecord000642: alpha beta gamma delta epsilon zeta eta theta.\nrecord000643: alpha beta gamma delta epsilon zeta eta theta.\nrecord000644: alpha beta gamma delta epsilon zeta eta theta.\nrecord000645: alpha beta gamma delta epsilon zeta eta theta.\nrecord000646: alpha beta gamma delta epsilon zeta eta theta.\nrecord000647: alpha beta gamma delta epsilon zeta eta theta.\nrecord000648: alpha beta gamma delta epsilon zeta eta theta.\nrecord000649: alpha beta gamma delta epsilon zeta eta theta.\nrecord000650: alpha beta gamma delta epsilon zeta eta theta.\nrecord000651: alpha beta gamma delta epsilon zeta eta theta.\nrecord000652: alpha beta gamma delta epsilon zeta eta theta.\nrecord000653: alpha beta gamma delta epsilon zeta eta theta.\nrecord000654: alpha beta gamma delta epsilon zeta eta theta.\nrecord000655: alpha beta gamma delta epsilon zeta eta theta.\nrecord000656: alpha beta gamma delta epsilon zeta eta theta.\nrecord000657: alpha beta gamma delta epsilon zeta eta theta.\nrecord000658: alpha beta gamma delta epsilon zeta eta theta.\nrecord000659: alpha beta gamma delta epsilon zeta eta theta.\nrecord000660: alpha beta gamma delta epsilon zeta eta theta.\nrecord000661: alpha beta gamma delta epsilon zeta eta theta.\nrecord000662: alpha beta gamma delta epsilon zeta eta theta.\nrecord000663: alpha beta gamma delta epsilon zeta eta theta.\nrecord000664: alpha beta gamma delta epsilon zeta eta theta.\nrecord000665: alpha beta gamma delta epsilon zeta eta theta.\nrecord000666: alpha beta gamma delta epsilon zeta eta theta.\nrecord000667: alpha beta gamma delta epsilon zeta eta theta.\nrecord000668: alpha beta gamma delta epsilon zeta eta theta.\nrecord000669: alpha beta gamma delta epsilon zeta eta theta.\nrecord000670: alpha beta gamma delta epsilon zeta eta theta.\nrecord000671: alpha beta gamma delta epsilon zeta eta theta.\nrecord000672: alpha beta gamma delta epsilon zeta eta theta.\nrecord000673: alpha beta gamma delta epsilon zeta eta theta.\nrecord000674: alpha beta gamma delta epsilon zeta eta theta.\nrecord000675: alpha beta gamma delta epsilon zeta eta theta.\nrecord000676: alpha beta gamma delta epsilon zeta eta theta.\nrecord000677: alpha beta gamma delta epsilon zeta eta theta.\nrecord000678: alpha beta gamma delta epsilon zeta eta theta.\nrecord000679: alpha beta gamma delta epsilon zeta eta theta.\nrecord000680: alpha beta gamma delta epsilon zeta eta theta.\nrecord000681: alpha beta gamma delta epsilon zeta eta theta.\nrecord000682: alpha beta gamma delta epsilon zeta eta theta.\nrecord000683: alpha beta gamma delta epsilon zeta eta theta.\nrecord000684: alpha beta gamma delta epsilon zeta eta theta.\nrecord000685: alpha beta gamma delta epsilon zeta eta theta.\nrecord000686: alpha beta gamma delta epsilon zeta eta theta.\nrecord000687: alpha beta gamma delta epsilon zeta eta theta.\nrecord000688: alpha beta gamma delta epsilon zeta eta theta.\nrecord000689: alpha beta gamma delta epsilon zeta eta theta.\nrecord000690: alpha beta gamma delta epsilon zeta eta theta.\nrecord000691: alpha beta gamma delta epsilon zeta eta theta.\nrecord000692: alpha beta gamma delta epsilon zeta eta theta.\nrecord000693: alpha beta gamma delta epsilon zeta eta theta.\nrecord000694: alpha beta gamma delta epsilon zeta eta theta.\nrecord000695: alpha beta gamma delta epsilon zeta eta theta.\nrecord000696: alpha beta gamma delta epsilon zeta eta theta.\nrecord000697: alpha beta gamma delta epsilon zeta eta theta.\nrecord000698: alpha beta gamma delta epsilon zeta eta theta.\nrecord000699: alpha beta gamma delta epsilon zeta eta theta.\nrecord000700: alpha beta gamma delta epsilon zeta eta theta.\nrecord000701: alpha beta gamma delta epsilon zeta eta theta.\nrecord000702: alpha beta gamma delta epsilon zeta eta theta.\nrecord000703: alpha beta gamma delta epsilon zeta eta theta.\nrecord000704: alpha beta gamma delta epsilon zeta eta theta.\nrecord000705: alpha beta gamma delta epsilon zeta eta theta.\nrecord000706: alpha beta gamma delta epsilon zeta eta theta.\nrecord000707: alpha beta gamma delta epsilon zeta eta theta.\nrecord000708: alpha beta gamma delta epsilon zeta eta theta.\nrecord000709: alpha beta gamma delta epsilon zeta eta theta.\nrecord000710: alpha beta gamma delta epsilon zeta eta theta.\nrecord000711: alpha beta gamma delta epsilon zeta eta theta.\nrecord000712: alpha beta gamma delta epsilon zeta eta theta.\nrecord000713: alpha beta gamma delta epsilon zeta eta theta.\nrecord000714: alpha beta gamma delta epsilon zeta eta theta.\nrecord000715: alpha beta gamma delta epsilon zeta eta theta.\nrecord000716: alpha beta gamma delta epsilon zeta eta theta.\nrecord000717: alpha beta gamma delta epsilon zeta eta theta.\nrecord000718: alpha beta gamma delta epsilon zeta eta theta.\nrecord000719: alpha beta gamma delta epsilon zeta eta theta.\nrecord000720: alpha beta gamma delta epsilon zeta eta theta.\nrecord000721: alpha beta gamma delta epsilon zeta eta theta.\nrecord000722: alpha beta gamma delta epsilon zeta eta theta.\nrecord000723: alpha beta gamma delta epsilon zeta eta theta.\nrecord000724: alpha beta gamma delta epsilon zeta eta theta.\nrecord000725: alpha beta gamma delta epsilon zeta eta theta.\nrecord000726: alpha beta gamma delta epsilon zeta eta theta.\nrecord000727: alpha beta gamma delta epsilon zeta eta theta.\nrecord000728: alpha beta gamma delta epsilon zeta eta theta.\nrecord000729: alpha beta gamma delta epsilon zeta eta theta.\nrecord000730: alpha beta gamma delta epsilon zeta eta theta.\nrecord000731: alpha beta gamma delta epsilon zeta eta theta.\nrecord000732: alpha beta gamma delta epsilon zeta eta theta.\nrecord000733: alpha beta gamma delta epsilon zeta eta theta.\nrecord000734: alpha beta gamma delta epsilon zeta eta theta.\nrecord000735: alpha beta gamma delta epsilon zeta eta theta.\nrecord000736: alpha beta gamma delta epsilon zeta eta theta.\nrecord000737: alpha beta gamma delta epsilon zeta eta theta.\nrecord000738: alpha beta gamma delta epsilon zeta eta theta.\nrecord000739: alpha beta gamma delta epsilon zeta eta theta.\nrecord000740: alpha beta gamma delta epsilon zeta eta theta.\nrecord000741: alpha beta gamma delta epsilon zeta eta theta.\nrecord000742: alpha beta gamma delta epsilon zeta eta theta.\nrecord000743: alpha beta gamma delta epsilon zeta eta theta.\nrecord000744: alpha beta gamma delta epsilon zeta eta theta.\nrecord000745: alpha beta gamma delta epsilon zeta eta theta.\nrecord000746: alpha beta gamma delta epsilon zeta eta theta.\nrecord000747: alpha beta gamma delta epsilon zeta eta theta.\nrecord000748: alpha beta gamma delta epsilon zeta eta theta.\nrecord000749: alpha beta gamma delta epsilon zeta eta theta.\nrecord000750: alpha beta gamma delta epsilon zeta eta theta.\nrecord000751: alpha beta gamma delta epsilon zeta eta theta.\nrecord000752: alpha beta gamma delta epsilon zeta eta theta.\nrecord000753: alpha beta gamma delta epsilon zeta eta theta.\nrecord000754: alpha beta gamma delta epsilon zeta eta theta.\nrecord000755: alpha beta gamma delta epsilon zeta eta theta.\nrecord000756: alpha beta gamma delta epsilon zeta eta theta.\nrecord000757: alpha beta gamma delta epsilon zeta eta theta.\nrecord000758: alpha beta gamma delta epsilon zeta eta theta.\nrecord000759: alpha beta gamma delta epsilon zeta eta theta.\nrecord000760: alpha beta gamma delta epsilon zeta eta theta.\nrecord000761: alpha beta gamma delta epsilon zeta eta theta.\nrecord000762: alpha beta gamma delta epsilon zeta eta theta.\nrecord000763: alpha beta gamma delta epsilon zeta eta theta.\nrecord000764: alpha beta gamma delta epsilon zeta eta theta.\nrecord000765: alpha beta gamma delta epsilon zeta eta theta.\nrecord000766: alpha beta gamma delta epsilon zeta eta theta.\nrecord000767: alpha beta gamma delta epsilon zeta eta theta.\nrecord000768: alpha beta gamma delta epsilon zeta eta theta.\nrecord000769: alpha beta gamma delta epsilon zeta eta theta.\nrecord000770: alpha beta gamma delta epsilon zeta eta theta.\nrecord000771: alpha beta gamma delta epsilon zeta eta theta.\nrecord000772: alpha beta gamma delta epsilon zeta eta theta.\nrecord000773: alpha beta gamma delta epsilon zeta eta theta.\nrecord000774: alpha beta gamma delta epsilon zeta eta theta.\nrecord000775: alpha beta gamma delta epsilon zeta eta theta.\nrecord000776: alpha beta gamma delta epsilon zeta eta theta.\nrecord000777: alpha beta gamma delta epsilon zeta eta theta.\nrecord000778: alpha beta gamma delta epsilon zeta eta theta.\nrecord000779: alpha beta gamma delta epsilon zeta eta theta.\nrecord000780: alpha beta gamma delta epsilon zeta eta theta.\nrecord000781: alpha beta gamma delta epsilon zeta eta theta.\nrecord000782: alpha beta gamma delta epsilon zeta eta theta.\nrecord000783: alpha beta gamma delta epsilon zeta eta theta.\nrecord000784: alpha beta gamma delta epsilon zeta eta theta.\nrecord000785: alpha beta gamma delta epsilon zeta eta theta.\nrecord000786: alpha beta gamma delta epsilon zeta eta theta.\nrecord000787: alpha beta gamma delta epsilon zeta eta theta.\nrecord000788: alpha beta gamma delta epsilon zeta eta theta.\nrecord000789: alpha beta gamma delta epsilon zeta eta theta.\nrecord000790: alpha beta gamma delta epsilon zeta eta theta.\nrecord000791: alpha beta gamma delta epsilon zeta eta theta.\nrecord000792: alpha beta gamma delta epsilon zeta eta theta.\nrecord000793: alpha beta gamma delta epsilon zeta eta theta.\nrecord000794: alpha beta gamma delta epsilon zeta eta theta.\nrecord000795: alpha beta gamma delta epsilon zeta eta theta.\nrecord000796: alpha beta gamma delta epsilon zeta eta theta.\nrecord000797: alpha beta gamma delta epsilon zeta eta theta.\nrecord000798: alpha beta gamma delta epsilon zeta eta theta.\nrecord000799: alpha beta gamma delta epsilon zeta eta theta.\nrecord000800: alpha beta gamma delta epsilon zeta eta theta.\nrecord000801: alpha beta gamma delta epsilon zeta eta theta.\nrecord000802: alpha beta gamma delta epsilon zeta eta theta.\nrecord000803: alpha beta gamma delta epsilon zeta eta theta.\nrecord000804: alpha beta gamma delta epsilon zeta eta theta.\nrecord000805: alpha beta gamma delta epsilon zeta eta theta.\nrecord000806: alpha beta gamma delta epsilon zeta eta theta.\nrecord000807: alpha beta gamma delta epsilon zeta eta theta.\nrecord000808: alpha beta gamma delta epsilon zeta eta theta.\nrecord000809: alpha beta gamma delta epsilon zeta eta theta.\nrecord000810: alpha beta gamma delta epsilon zeta eta theta.\nrecord000811: alpha beta gamma delta epsilon zeta eta theta.\nrecord000812: alpha beta gamma delta epsilon zeta eta theta.\nrecord000813: alpha beta gamma delta epsilon zeta eta theta.\nrecord000814: alpha beta gamma delta epsilon zeta eta theta.\nrecord000815: alpha beta gamma delta epsilon zeta eta theta.\nrecord000816: alpha beta gamma delta epsilon zeta eta theta.\nrecord000817: alpha beta gamma delta epsilon zeta eta theta.\nrecord000818: alpha beta gamma delta epsilon zeta eta theta.\nrecord000819: alpha beta gamma delta epsilon zeta eta theta.\nrecord000820: alpha beta gamma delta epsilon zeta eta theta.\nrecord000821: alpha beta gamma delta epsilon zeta eta theta.\nrecord000822: alpha beta gamma delta epsilon zeta eta theta.\nrecord000823: alpha beta gamma delta epsilon zeta eta theta.\nrecord000824: alpha beta gamma delta epsilon zeta eta theta.\nrecord000825: alpha beta gamma delta epsilon zeta eta theta.\nrecord000826: alpha beta gamma delta epsilon zeta eta theta.\nrecord000827: alpha beta gamma delta epsilon zeta eta theta.\nrecord000828: alpha beta gamma delta epsilon zeta eta theta.\nrecord000829: alpha beta gamma delta epsilon zeta eta theta.\nrecord000830: alpha beta gamma delta epsilon zeta eta theta.\nrecord000831: alpha beta gamma delta epsilon zeta eta theta.\nrecord000832: alpha beta gamma delta epsilon zeta eta theta.\nrecord000833: alpha beta gamma delta epsilon zeta eta theta.\nrecord000834: alpha beta gamma delta epsilon zeta eta theta.\nrecord000835: alpha beta gamma delta epsilon zeta eta theta.\nrecord000836: alpha beta gamma delta epsilon zeta eta theta.\nrecord000837: alpha beta gamma delta epsilon zeta eta theta.\nrecord000838: alpha beta gamma delta epsilon zeta eta theta.\nrecord000839: alpha beta gamma delta epsilon zeta eta theta.\nrecord000840: alpha beta gamma delta epsilon zeta eta theta.\nrecord000841: alpha beta gamma delta epsilon zeta eta theta.\nrecord000842: alpha beta gamma delta epsilon zeta eta theta.\nrecord000843: alpha beta gamma delta epsilon zeta eta theta.\nrecord000844: alpha beta gamma delta epsilon zeta eta theta.\nrecord000845: alpha beta gamma delta epsilon zeta eta theta.\nrecord000846: alpha beta gamma delta epsilon zeta eta theta.\nrecord000847: alpha beta gamma delta epsilon zeta eta theta.\nrecord000848: alpha beta gamma delta epsilon zeta eta theta.\nrecord000849: alpha beta gamma delta epsilon zeta eta theta.\nrecord000850: alpha beta gamma delta epsilon zeta eta theta.\nrecord000851: alpha beta gamma delta epsilon zeta eta theta.\nrecord000852: alpha beta gamma delta epsilon zeta eta theta.\nrecord000853: alpha beta gamma delta epsilon zeta eta theta.\nrecord000854: alpha beta gamma delta epsilon zeta eta theta.\nrecord000855: alpha beta gamma delta epsilon zeta eta theta.\nrecord000856: alpha beta gamma delta epsilon zeta eta theta.\nrecord000857: alpha beta gamma delta epsilon zeta eta theta.\nrecord000858: alpha beta gamma delta epsilon zeta eta theta.\nSummarize the structure of these records and explain how to look up a record by its ID."}], "tools": null, "final_answer": "Each record has the same simple structure:\n\n```text\nrecordNNNNNN: alpha beta gamma delta epsilon zeta eta theta.\n```\n\nBreakdown:\n\n- `recordNNNNNN` — the record ID\n - Prefix: `record`\n - Numeric ID: zero-padded to 6 digits\n - Example: `record000001`, `record000100`, `record000858`\n- `:` — separator between the ID and the record contents\n- `alpha beta gamma delta epsilon zeta eta theta.` — the record payload\n - Fixed list of 8 tokens:\n 1. `alpha`\n 2. `beta`\n 3. `gamma`\n 4. `delta`\n 5. `epsilon`\n 6. `zeta`\n 7. `eta`\n 8. `theta`\n - Ends with a period.\n\nAll records from `record000001` through `record000858` have identical payload text.\n\nTo look up a record by ID:\n\n1. Know the numeric ID you want, for example `42`.\n2. Format it with 6 zero-padded digits:\n\n ```text\n record000042\n ```\n\n3. Search for a line", "reasoning": "We need respond to user: \"[case performance-prompt-16k-r3] ... Summarize the structure of these records and explain how to look up a record by its ID.\"\n\nWe have huge input with records 000001 to 000858, each identical: \"recordNNNNNN: alpha beta gamma delta epsilon zeta eta theta.\" Need summarize structure and explain how to look up by ID. Need maybe mention ID zero-padded six digits, colon separator, payload fixed sequence of 8 Greek-letter tokens, trailing period. Lookup by exact ID string or numeric after parsing. Could mention efficient indexing: map ID -> record; binary search if sorted; regex or split on \": \". Could include formula: ID n formatted as record%06d, line = prefix + \": \" + payload. Also all records have same payload, so any lookup returns same payload except ID.\n\nNeed be concise but thorough. No need process all. Ensure final answer. Final only answer.\n", "tool_calls": [], "finish_reason": "length", "usage": {"prompt_tokens": 16387, "completion_tokens": 512, "total_tokens": 16899, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 16387, "prompt_ms": 4988.5, "prompt_per_token_ms": 0.304, "prompt_per_second": 3285.0, "predicted_n": 512, "predicted_ms": 3564.2, "predicted_per_token_ms": 6.961, "predicted_per_second": 143.7, "draft_n": 418, "draft_n_accepted": 303}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 8.567139, "first_delta": {"offset_s": 5.013885, "kind": "reasoning"}, "first_answer_offset_s": 6.710419, "client_events": [[5.013885, "reasoning"], [5.033312, "reasoning"], [5.033336, "reasoning"], [5.051713, "reasoning"], [5.051734, "reasoning"], [5.051783, "reasoning"], [5.066499, "reasoning"], [5.084492, "reasoning"], [5.084517, "reasoning"], [5.103158, "reasoning"], [5.10318, "reasoning"], [5.103227, "reasoning"], [5.103263, "reasoning"], 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Ensure no extra. Done.\n", "tool_calls": [], "finish_reason": "stop", "usage": {"prompt_tokens": 71, "completion_tokens": 42, "total_tokens": 113, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 71, "prompt_ms": 254.6, "prompt_per_token_ms": 3.586, "prompt_per_second": 278.9, "predicted_n": 42, "predicted_ms": 248.5, "predicted_per_token_ms": 5.917, "predicted_per_second": 169.0, "draft_n": 35, "draft_n_accepted": 29}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 0.50659, "first_delta": {"offset_s": 0.268501, "kind": "reasoning"}, "first_answer_offset_s": 0.506552, "client_events": [[0.268501, "reasoning"], [0.28238, "reasoning"], [0.282399, "reasoning"], [0.300299, "reasoning"], [0.300319, "reasoning"], [0.300361, "reasoning"], [0.300399, "reasoning"], [0.31837, "reasoning"], [0.336533, "reasoning"], [0.336547, "reasoning"], [0.336556, "reasoning"], [0.336564, "reasoning"], [0.354414, "reasoning"], [0.35444, "reasoning"], [0.35447, "reasoning"], [0.354505, "reasoning"], [0.372542, "reasoning"], [0.372568, "reasoning"], [0.372585, "reasoning"], [0.372632, "reasoning"], [0.390572, "reasoning"], [0.390598, "reasoning"], [0.390607, "reasoning"], [0.390614, "reasoning"], [0.408704, "reasoning"], [0.40873, "reasoning"], [0.408748, "reasoning"], [0.408783, "reasoning"], [0.421937, "reasoning"], [0.433034, "reasoning"], [0.451955, "reasoning"], [0.451981, "reasoning"], [0.451991, "reasoning"], [0.451998, "reasoning"], [0.470623, "reasoning"], [0.470649, "reasoning"], [0.487941, "reasoning"], [0.487966, "reasoning"], [0.506552, "answer"]]} +{"request_id": "sanity-R1", "phase": "sanity", "case_id": "R1", "request": {"stream": true, "stream_options": {"include_usage": true}, "max_tokens": 2048, "seed": 1, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}}, "messages": [{"role": "user", "content": "[case sanity-R1]\nrecord000001: alpha beta gamma delta epsilon zeta eta theta.\nrecord000002: alpha beta gamma delta epsilon zeta eta theta.\nrecord000003: alpha beta gamma delta epsilon zeta eta theta.\nrecord000004: alpha beta gamma delta epsilon zeta eta theta.\nrecord000005: alpha beta gamma delta epsilon zeta eta theta.\nrecord000006: alpha beta gamma delta epsilon zeta eta theta.\nrecord000007: alpha beta gamma delta epsilon zeta eta theta.\nrecord000008: alpha beta gamma delta epsilon zeta eta theta.\nrecord000009: alpha beta gamma delta epsilon zeta eta theta.\nrecord000010: alpha beta gamma delta epsilon zeta eta theta.\nrecord000011: alpha beta gamma delta epsilon zeta eta theta.\nrecord000012: alpha beta gamma delta epsilon zeta eta theta.\nrecord000013: alpha beta gamma delta epsilon zeta eta theta.\nrecord000014: alpha beta gamma delta epsilon zeta eta theta.\nrecord000015: alpha beta gamma delta epsilon zeta eta theta.\nrecord000016: alpha beta gamma delta epsilon zeta eta theta.\nrecord000017: alpha beta gamma delta epsilon zeta eta theta.\nrecord000018: alpha beta gamma delta epsilon zeta eta theta.\nrecord000019: alpha beta gamma delta epsilon zeta eta theta.\nrecord000020: alpha beta gamma delta epsilon zeta eta theta.\nrecord000021: alpha beta gamma delta epsilon zeta eta theta.\naccess_code = ORBIT-731\nrecord000022: alpha beta gamma delta epsilon zeta eta theta.\nrecord000023: alpha beta gamma delta epsilon zeta eta theta.\nrecord000024: alpha beta gamma delta epsilon zeta eta theta.\nrecord000025: alpha beta gamma delta epsilon zeta eta theta.\nrecord000026: alpha beta gamma delta epsilon zeta eta theta.\nrecord000027: alpha beta gamma delta epsilon zeta eta theta.\nrecord000028: alpha beta gamma delta epsilon zeta eta theta.\nrecord000029: alpha beta gamma delta epsilon zeta eta theta.\nrecord000030: alpha beta gamma delta epsilon zeta eta theta.\nrecord000031: alpha beta gamma delta epsilon zeta eta theta.\nrecord000032: alpha beta gamma delta epsilon zeta eta theta.\nrecord000033: alpha beta gamma delta epsilon zeta eta theta.\nrecord000034: alpha beta gamma delta epsilon zeta eta theta.\nrecord000035: alpha beta gamma delta epsilon zeta eta theta.\nrecord000036: alpha beta gamma delta epsilon zeta eta theta.\nrecord000037: alpha beta gamma delta epsilon zeta eta theta.\nrecord000038: alpha beta gamma delta epsilon zeta eta theta.\nrecord000039: alpha beta gamma delta epsilon zeta eta theta.\nrecord000040: alpha beta gamma delta epsilon zeta eta theta.\nrecord000041: alpha beta gamma delta epsilon zeta eta theta.\nrecord000042: alpha beta gamma delta epsilon zeta eta theta.\nrecord000043: alpha beta gamma delta epsilon zeta eta theta.\nrecord000044: alpha beta gamma delta epsilon zeta eta theta.\nrecord000045: alpha beta gamma delta epsilon zeta eta theta.\nrecord000046: alpha beta gamma delta epsilon zeta eta theta.\nrecord000047: alpha beta gamma delta epsilon zeta eta theta.\nrecord000048: alpha beta gamma delta epsilon zeta eta theta.\nrecord000049: alpha beta gamma delta epsilon zeta eta theta.\nrecord000050: alpha beta gamma delta epsilon zeta eta theta.\nrecord000051: alpha beta gamma delta epsilon zeta eta theta.\nrecord000052: alpha beta gamma delta epsilon zeta eta theta.\nrecord000053: alpha beta gamma delta epsilon zeta eta theta.\nrecord000054: alpha beta gamma delta epsilon zeta eta theta.\nrecord000055: alpha beta gamma delta epsilon zeta eta theta.\nrecord000056: alpha beta gamma delta epsilon zeta eta theta.\nrecord000057: alpha beta gamma delta epsilon zeta eta theta.\nrecord000058: alpha beta gamma delta epsilon zeta eta theta.\nrecord000059: alpha beta gamma delta epsilon zeta eta theta.\nrecord000060: alpha beta gamma delta epsilon zeta eta theta.\nrecord000061: alpha beta gamma delta epsilon zeta eta theta.\nrecord000062: alpha beta gamma delta epsilon zeta eta theta.\nrecord000063: alpha beta gamma delta epsilon zeta eta theta.\nrecord000064: alpha beta gamma delta epsilon zeta eta theta.\nrecord000065: alpha beta gamma delta epsilon zeta eta theta.\nrecord000066: alpha beta gamma delta epsilon zeta eta theta.\nrecord000067: alpha beta gamma delta epsilon zeta eta theta.\nrecord000068: alpha beta gamma delta epsilon zeta eta theta.\nrecord000069: alpha beta gamma delta epsilon zeta eta theta.\nrecord000070: alpha beta gamma delta epsilon zeta eta theta.\nrecord000071: alpha beta gamma delta epsilon zeta eta theta.\nrecord000072: alpha beta gamma delta epsilon zeta eta theta.\nrecord000073: alpha beta gamma delta epsilon zeta eta theta.\nrecord000074: alpha beta gamma delta epsilon zeta eta theta.\nrecord000075: alpha beta gamma delta epsilon zeta eta theta.\nrecord000076: alpha beta gamma delta epsilon zeta eta theta.\nrecord000077: alpha beta gamma delta epsilon zeta eta theta.\nrecord000078: alpha beta gamma delta epsilon zeta eta theta.\nrecord000079: alpha beta gamma delta epsilon zeta eta theta.\nrecord000080: alpha beta gamma delta epsilon zeta eta theta.\nrecord000081: alpha beta gamma delta epsilon zeta eta theta.\nrecord000082: alpha beta gamma delta epsilon zeta eta theta.\nrecord000083: alpha beta gamma delta epsilon zeta eta theta.\nrecord000084: alpha beta gamma delta epsilon zeta eta theta.\nrecord000085: alpha beta gamma delta epsilon zeta eta theta.\nrecord000086: alpha beta gamma delta epsilon zeta eta theta.\nrecord000087: alpha beta gamma delta epsilon zeta eta theta.\nrecord000088: alpha beta gamma delta epsilon zeta eta theta.\nrecord000089: alpha beta gamma delta epsilon zeta eta theta.\nrecord000090: alpha beta gamma delta epsilon zeta eta theta.\nrecord000091: alpha beta gamma delta epsilon zeta eta theta.\nrecord000092: alpha beta gamma delta epsilon zeta eta theta.\nrecord000093: alpha beta gamma delta epsilon zeta eta theta.\nrecord000094: alpha beta gamma delta epsilon zeta eta theta.\nrecord000095: alpha beta gamma delta epsilon zeta eta theta.\nrecord000096: alpha beta gamma delta epsilon zeta eta theta.\nrecord000097: alpha beta gamma delta epsilon zeta eta theta.\nrecord000098: alpha beta gamma delta epsilon zeta eta theta.\nrecord000099: alpha beta gamma delta epsilon zeta eta theta.\nrecord000100: alpha beta gamma delta epsilon zeta eta theta.\nrecord000101: alpha beta gamma delta epsilon zeta eta theta.\nrecord000102: alpha beta gamma delta epsilon zeta eta theta.\nrecord000103: alpha beta gamma delta epsilon zeta eta theta.\nrecord000104: alpha beta gamma delta epsilon zeta eta theta.\nrecord000105: alpha beta gamma delta epsilon zeta eta theta.\nrecord000106: alpha beta gamma delta epsilon zeta eta theta.\nrecord000107: alpha beta gamma delta epsilon zeta eta theta.\nrecord000108: alpha beta gamma delta epsilon zeta eta theta.\nrecord000109: alpha beta gamma delta epsilon zeta eta theta.\nrecord000110: alpha beta gamma delta epsilon zeta eta theta.\nrecord000111: alpha beta gamma delta epsilon zeta eta theta.\nrecord000112: alpha beta gamma delta epsilon zeta eta theta.\nrecord000113: alpha beta gamma delta epsilon zeta eta theta.\nrecord000114: alpha beta gamma delta epsilon zeta eta theta.\nrecord000115: alpha beta gamma delta epsilon zeta eta theta.\nrecord000116: alpha beta gamma delta epsilon zeta eta theta.\nrecord000117: alpha beta gamma delta epsilon zeta eta theta.\nrecord000118: alpha beta gamma delta epsilon zeta eta theta.\nrecord000119: alpha beta gamma delta epsilon zeta eta theta.\nrecord000120: alpha beta gamma delta epsilon zeta eta theta.\nrecord000121: alpha beta gamma delta epsilon zeta eta theta.\nrecord000122: alpha beta gamma delta epsilon zeta eta theta.\nrecord000123: alpha beta gamma delta epsilon zeta eta theta.\nrecord000124: alpha beta gamma delta epsilon zeta eta theta.\nrecord000125: alpha beta gamma delta epsilon zeta eta theta.\nrecord000126: alpha beta gamma delta epsilon zeta eta theta.\nrecord000127: alpha beta gamma delta epsilon zeta eta theta.\nrecord000128: alpha beta gamma delta epsilon zeta eta theta.\nrecord000129: alpha beta gamma delta epsilon zeta eta theta.\nrecord000130: alpha beta gamma delta epsilon zeta eta theta.\nrecord000131: alpha beta gamma delta epsilon zeta eta theta.\nrecord000132: alpha beta gamma delta epsilon zeta eta theta.\nrecord000133: alpha beta gamma delta epsilon zeta eta theta.\nrecord000134: alpha beta gamma delta epsilon zeta eta theta.\nrecord000135: alpha beta gamma delta epsilon zeta eta theta.\nrecord000136: alpha beta gamma delta epsilon zeta eta theta.\nrecord000137: alpha beta gamma delta epsilon zeta eta theta.\nrecord000138: alpha beta gamma delta epsilon zeta eta theta.\nrecord000139: alpha beta gamma delta epsilon zeta eta theta.\nrecord000140: alpha beta gamma delta epsilon zeta eta theta.\nrecord000141: alpha beta gamma delta epsilon zeta eta theta.\nrecord000142: alpha beta gamma delta epsilon zeta eta theta.\nrecord000143: alpha beta gamma delta epsilon zeta eta theta.\nrecord000144: alpha beta gamma delta epsilon zeta eta theta.\nrecord000145: alpha beta gamma delta epsilon zeta eta theta.\nrecord000146: alpha beta gamma delta epsilon zeta eta theta.\nrecord000147: alpha beta gamma delta epsilon zeta eta theta.\nrecord000148: alpha beta gamma delta epsilon zeta eta theta.\nrecord000149: alpha beta gamma delta epsilon zeta eta theta.\nrecord000150: alpha beta gamma delta epsilon zeta eta theta.\nrecord000151: alpha beta gamma delta epsilon zeta eta theta.\nrecord000152: alpha beta gamma delta epsilon zeta eta theta.\nrecord000153: alpha beta gamma delta epsilon zeta eta theta.\nrecord000154: alpha beta gamma delta epsilon zeta eta theta.\nrecord000155: alpha beta gamma delta epsilon zeta eta theta.\nrecord000156: alpha beta gamma delta epsilon zeta eta theta.\nrecord000157: alpha beta gamma delta epsilon zeta eta theta.\nrecord000158: alpha beta gamma delta epsilon zeta eta theta.\nrecord000159: alpha beta gamma delta epsilon zeta eta theta.\nrecord000160: alpha beta gamma delta epsilon zeta eta theta.\nrecord000161: alpha beta gamma delta epsilon zeta eta theta.\nrecord000162: alpha beta gamma delta epsilon zeta eta theta.\nrecord000163: alpha beta gamma delta epsilon zeta eta theta.\nrecord000164: alpha beta gamma delta epsilon zeta eta theta.\nrecord000165: alpha beta gamma delta epsilon zeta eta theta.\nrecord000166: alpha beta gamma delta epsilon zeta eta theta.\nrecord000167: alpha beta gamma delta epsilon zeta eta theta.\nrecord000168: alpha beta gamma delta epsilon zeta eta theta.\nrecord000169: alpha beta gamma delta epsilon zeta eta theta.\nrecord000170: alpha beta gamma delta epsilon zeta eta theta.\nrecord000171: alpha beta gamma delta epsilon zeta eta theta.\nrecord000172: alpha beta gamma delta epsilon zeta eta theta.\nrecord000173: alpha beta gamma delta epsilon zeta eta theta.\nrecord000174: alpha beta gamma delta epsilon zeta eta theta.\nrecord000175: alpha beta gamma delta epsilon zeta eta theta.\nrecord000176: alpha beta gamma delta epsilon zeta eta theta.\nrecord000177: alpha beta gamma delta epsilon zeta eta theta.\nrecord000178: alpha beta gamma delta epsilon zeta eta theta.\nrecord000179: alpha beta gamma delta epsilon zeta eta theta.\nrecord000180: alpha beta gamma delta epsilon zeta eta theta.\nrecord000181: alpha beta gamma delta epsilon zeta eta theta.\nrecord000182: alpha beta gamma delta epsilon zeta eta theta.\nrecord000183: alpha beta gamma delta epsilon zeta eta theta.\nrecord000184: alpha beta gamma delta epsilon zeta eta theta.\nrecord000185: alpha beta gamma delta epsilon zeta eta theta.\nrecord000186: alpha beta gamma delta epsilon zeta eta theta.\nrecord000187: alpha beta gamma delta epsilon zeta eta theta.\nrecord000188: alpha beta gamma delta epsilon zeta eta theta.\nrecord000189: alpha beta gamma delta epsilon zeta eta theta.\nrecord000190: alpha beta gamma delta epsilon zeta eta theta.\nrecord000191: alpha beta gamma delta epsilon zeta eta theta.\nrecord000192: alpha beta gamma delta epsilon zeta eta theta.\nrecord000193: alpha beta gamma delta epsilon zeta eta theta.\nrecord000194: alpha beta gamma delta epsilon zeta eta theta.\nrecord000195: alpha beta gamma delta epsilon zeta eta theta.\nrecord000196: alpha beta gamma delta epsilon zeta eta theta.\nrecord000197: alpha beta gamma delta epsilon zeta eta theta.\nrecord000198: alpha beta gamma delta epsilon zeta eta theta.\nrecord000199: alpha beta gamma delta epsilon zeta eta theta.\nrecord000200: alpha beta gamma delta epsilon zeta eta theta.\nrecord000201: alpha beta gamma delta epsilon zeta eta theta.\nrecord000202: alpha beta gamma delta epsilon zeta eta theta.\nrecord000203: alpha beta gamma delta epsilon zeta eta theta.\nrecord000204: alpha beta gamma delta epsilon zeta eta theta.\nrecord000205: alpha beta gamma delta epsilon zeta eta theta.\nrecord000206: alpha beta gamma delta epsilon zeta eta theta.\nrecord000207: alpha beta gamma delta epsilon zeta eta theta.\nrecord000208: alpha beta gamma delta epsilon zeta eta theta.\nrecord000209: alpha beta gamma delta epsilon zeta eta theta.\nrecord000210: alpha beta gamma delta epsilon zeta eta theta.\nrecord000211: alpha beta gamma delta epsilon zeta eta theta.\nWhat is access_code? Reply only with its value."}], "tools": null, "final_answer": "ORBIT-731", "reasoning": "We need answer user's request. User provided long text with records and line \"access_code = ORBIT-731\" then asks \"What is access_code? Reply only with its value.\" Need output only ORBIT-731. Ensure no extra. done.\n", "tool_calls": [], "finish_reason": "stop", "usage": {"prompt_tokens": 4089, "completion_tokens": 66, "total_tokens": 4155, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 4089, "prompt_ms": 2051.9, "prompt_per_token_ms": 0.502, "prompt_per_second": 1992.8, "predicted_n": 66, "predicted_ms": 393.0, "predicted_per_token_ms": 5.955, "predicted_per_second": 167.9, "draft_n": 54, "draft_n_accepted": 44}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 2.451436, "first_delta": {"offset_s": 2.068881, "kind": "reasoning"}, "first_answer_offset_s": 2.432364, "client_events": [[2.068881, "reasoning"], [2.087253, "reasoning"], [2.087273, "reasoning"], [2.087334, "reasoning"], [2.087373, "reasoning"], [2.106449, "reasoning"], [2.10647, "reasoning"], [2.106516, "reasoning"], [2.117902, "reasoning"], [2.129429, "reasoning"], [2.140885, "reasoning"], [2.159416, "reasoning"], [2.159437, "reasoning"], 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[2.395512, "reasoning"], [2.395555, "reasoning"], [2.413777, "reasoning"], [2.413803, "reasoning"], [2.432364, "answer"], [2.43239, "answer"], [2.432408, "answer"], [2.432449, "answer"], [2.451132, "answer"], [2.451157, "answer"]]} +{"request_id": "sanity-R2", "phase": "sanity", "case_id": "R2", "request": {"stream": true, "stream_options": {"include_usage": true}, "max_tokens": 2048, "seed": 1, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}}, "messages": [{"role": "user", "content": "[case sanity-R2]\nrecord000001: alpha beta gamma delta epsilon zeta eta theta.\nrecord000002: alpha beta gamma delta epsilon zeta eta theta.\nrecord000003: alpha beta gamma delta epsilon zeta eta theta.\nrecord000004: alpha beta gamma delta epsilon zeta eta theta.\nrecord000005: alpha beta gamma delta epsilon zeta eta theta.\nrecord000006: alpha beta gamma delta epsilon zeta eta theta.\nrecord000007: alpha beta gamma delta epsilon zeta eta theta.\nrecord000008: alpha beta gamma delta epsilon zeta eta theta.\nrecord000009: alpha beta gamma delta epsilon zeta eta theta.\nrecord000010: alpha beta gamma delta epsilon zeta eta theta.\nrecord000011: alpha beta gamma delta epsilon zeta eta theta.\nrecord000012: alpha beta gamma delta epsilon zeta eta theta.\nrecord000013: alpha beta gamma delta epsilon zeta eta theta.\nrecord000014: alpha beta gamma delta epsilon zeta eta theta.\nrecord000015: alpha beta gamma delta epsilon zeta eta theta.\nrecord000016: alpha beta gamma delta epsilon zeta eta theta.\nrecord000017: alpha beta gamma delta epsilon zeta eta theta.\nrecord000018: alpha beta gamma delta epsilon zeta eta theta.\nrecord000019: alpha beta gamma delta epsilon zeta eta theta.\nrecord000020: alpha beta gamma delta epsilon zeta eta theta.\nrecord000021: alpha beta gamma delta epsilon zeta eta theta.\nrecord000022: alpha beta gamma delta epsilon zeta eta theta.\nrecord000023: alpha beta gamma delta epsilon zeta eta theta.\nrecord000024: alpha beta gamma delta epsilon zeta eta theta.\nrecord000025: alpha beta gamma delta epsilon zeta eta theta.\nrecord000026: alpha beta gamma delta epsilon zeta eta theta.\nrecord000027: alpha beta gamma delta epsilon zeta eta theta.\nrecord000028: alpha beta gamma delta epsilon zeta eta theta.\nrecord000029: alpha beta gamma delta epsilon zeta eta theta.\nrecord000030: alpha beta gamma delta epsilon zeta eta theta.\nrecord000031: alpha beta gamma delta epsilon zeta eta theta.\nrecord000032: alpha beta gamma delta epsilon zeta eta theta.\nrecord000033: alpha beta gamma delta epsilon zeta eta theta.\nrecord000034: alpha beta gamma delta epsilon zeta eta theta.\nrecord000035: alpha beta gamma delta epsilon zeta eta theta.\nrecord000036: alpha beta gamma delta epsilon zeta eta theta.\nrecord000037: alpha beta gamma delta epsilon zeta eta theta.\nrecord000038: alpha beta gamma delta epsilon zeta eta theta.\nrecord000039: alpha beta gamma delta epsilon zeta eta theta.\nrecord000040: alpha beta gamma delta epsilon zeta eta theta.\nrecord000041: alpha beta gamma delta epsilon zeta eta theta.\nrecord000042: alpha beta gamma delta epsilon zeta eta theta.\nrecord000043: alpha beta gamma delta epsilon zeta eta theta.\nrecord000044: alpha beta gamma delta epsilon zeta eta theta.\nrecord000045: alpha beta gamma delta epsilon zeta eta theta.\nrecord000046: alpha beta gamma delta epsilon zeta eta theta.\nrecord000047: alpha beta gamma delta epsilon zeta eta theta.\nrecord000048: alpha beta gamma delta epsilon zeta eta theta.\nrecord000049: alpha beta gamma delta epsilon zeta eta theta.\nrecord000050: alpha beta gamma delta epsilon zeta eta theta.\nrecord000051: alpha beta gamma delta epsilon zeta eta theta.\nrecord000052: alpha beta gamma delta epsilon zeta eta theta.\nrecord000053: alpha beta gamma delta epsilon zeta eta theta.\nrecord000054: alpha beta gamma delta epsilon zeta eta theta.\nrecord000055: alpha beta gamma delta epsilon zeta eta theta.\nrecord000056: alpha beta gamma delta epsilon zeta eta theta.\nrecord000057: alpha beta gamma delta epsilon zeta eta theta.\nrecord000058: alpha beta gamma delta epsilon zeta eta theta.\nrecord000059: alpha beta gamma delta epsilon zeta eta theta.\nrecord000060: alpha beta gamma delta epsilon zeta eta theta.\nrecord000061: alpha beta gamma delta epsilon zeta eta theta.\nrecord000062: alpha beta gamma delta epsilon zeta eta theta.\nrecord000063: alpha beta gamma delta epsilon zeta eta theta.\nrecord000064: alpha beta gamma delta epsilon zeta eta theta.\nrecord000065: alpha beta gamma delta epsilon zeta eta theta.\nrecord000066: alpha beta gamma delta epsilon zeta eta theta.\nrecord000067: alpha beta gamma delta epsilon zeta eta theta.\nrecord000068: alpha beta gamma delta epsilon zeta eta theta.\nrecord000069: alpha beta gamma delta epsilon zeta eta theta.\nrecord000070: alpha beta gamma delta epsilon zeta eta theta.\nrecord000071: alpha beta gamma delta epsilon zeta eta theta.\nrecord000072: alpha beta gamma delta epsilon zeta eta theta.\nrecord000073: alpha beta gamma delta epsilon zeta eta theta.\nrecord000074: alpha beta gamma delta epsilon zeta eta theta.\nrecord000075: alpha beta gamma delta epsilon zeta eta theta.\nrecord000076: alpha beta gamma delta epsilon zeta eta theta.\nrecord000077: alpha beta gamma delta epsilon zeta eta theta.\nrecord000078: alpha beta gamma delta epsilon zeta eta theta.\nrecord000079: alpha beta gamma delta epsilon zeta eta theta.\nrecord000080: alpha beta gamma delta epsilon zeta eta theta.\nrecord000081: alpha beta gamma delta epsilon zeta eta theta.\nrecord000082: alpha beta gamma delta epsilon zeta eta theta.\nrecord000083: alpha beta gamma delta epsilon zeta eta theta.\nrecord000084: alpha beta gamma delta epsilon zeta eta theta.\nrecord000085: alpha beta gamma delta epsilon zeta eta theta.\nrecord000086: alpha beta gamma delta epsilon zeta eta theta.\nrecord000087: alpha beta gamma delta epsilon zeta eta theta.\nrecord000088: alpha beta gamma delta epsilon zeta eta theta.\nrecord000089: alpha beta gamma delta epsilon zeta eta theta.\nrecord000090: alpha beta gamma delta epsilon zeta eta theta.\nrecord000091: alpha beta gamma delta epsilon zeta eta theta.\nrecord000092: alpha beta gamma delta epsilon zeta eta theta.\nrecord000093: alpha beta gamma delta epsilon zeta eta theta.\nrecord000094: alpha beta gamma delta epsilon zeta eta theta.\nrecord000095: alpha beta gamma delta epsilon zeta eta theta.\nrecord000096: alpha beta gamma delta epsilon zeta eta theta.\nrecord000097: alpha beta gamma delta epsilon zeta eta theta.\nrecord000098: alpha beta gamma delta epsilon zeta eta theta.\nrecord000099: alpha beta gamma delta epsilon zeta eta theta.\nrecord000100: alpha beta gamma delta epsilon zeta eta theta.\nrecord000101: alpha beta gamma delta epsilon zeta eta theta.\nrecord000102: alpha beta gamma delta epsilon zeta eta theta.\nrecord000103: alpha beta gamma delta epsilon zeta eta theta.\nrecord000104: alpha beta gamma delta epsilon zeta eta theta.\nrecord000105: alpha beta gamma delta epsilon zeta eta theta.\nstorage_label = CEDAR-284\nrecord000106: alpha beta gamma delta epsilon zeta eta theta.\nrecord000107: alpha beta gamma delta epsilon zeta eta theta.\nrecord000108: alpha beta gamma delta epsilon zeta eta theta.\nrecord000109: alpha beta gamma delta epsilon zeta eta theta.\nrecord000110: alpha beta gamma delta epsilon zeta eta theta.\nrecord000111: alpha beta gamma delta epsilon zeta eta theta.\nrecord000112: alpha beta gamma delta epsilon zeta eta theta.\nrecord000113: alpha beta gamma delta epsilon zeta eta theta.\nrecord000114: alpha beta gamma delta epsilon zeta eta theta.\nrecord000115: alpha beta gamma delta epsilon zeta eta theta.\nrecord000116: alpha beta gamma delta epsilon zeta eta theta.\nrecord000117: alpha beta gamma delta epsilon zeta eta theta.\nrecord000118: alpha beta gamma delta epsilon zeta eta theta.\nrecord000119: alpha beta gamma delta epsilon zeta eta theta.\nrecord000120: alpha beta gamma delta epsilon zeta eta theta.\nrecord000121: alpha beta gamma delta epsilon zeta eta theta.\nrecord000122: alpha beta gamma delta epsilon zeta eta theta.\nrecord000123: alpha beta gamma delta epsilon zeta eta theta.\nrecord000124: alpha beta gamma delta epsilon zeta eta theta.\nrecord000125: alpha beta gamma delta epsilon zeta eta theta.\nrecord000126: alpha beta gamma delta epsilon zeta eta theta.\nrecord000127: alpha beta gamma delta epsilon zeta eta theta.\nrecord000128: alpha beta gamma delta epsilon zeta eta theta.\nrecord000129: alpha beta gamma delta epsilon zeta eta theta.\nrecord000130: alpha beta gamma delta epsilon zeta eta theta.\nrecord000131: alpha beta gamma delta epsilon zeta eta theta.\nrecord000132: alpha beta gamma delta epsilon zeta eta theta.\nrecord000133: alpha beta gamma delta 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Reply only with its value."}], "tools": null, "final_answer": "CEDAR-284", "reasoning": "We need answer user's request. User provided many records and asks: What is storage_label? Reply only with its value. In text: \"storage_label = CEDAR-284\". Need output only value CEDAR-284. Ensure no extra. But let's analyze if any trick: The label appears after record000105. It says storage_label = CEDAR-284. So answer CEDAR-284. 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theta.\nrecord000627: alpha beta gamma delta epsilon zeta eta theta.\nrecord000628: alpha beta gamma delta epsilon zeta eta theta.\nrecord000629: alpha beta gamma delta epsilon zeta eta theta.\nrecord000630: alpha beta gamma delta epsilon zeta eta theta.\nrecord000631: alpha beta gamma delta epsilon zeta eta theta.\nrecord000632: alpha beta gamma delta epsilon zeta eta theta.\nrecord000633: alpha beta gamma delta epsilon zeta eta theta.\nrecord000634: alpha beta gamma delta epsilon zeta eta theta.\nrecord000635: alpha beta gamma delta epsilon zeta eta theta.\nrecord000636: alpha beta gamma delta epsilon zeta eta theta.\nrecord000637: alpha beta gamma delta epsilon zeta eta theta.\nrecord000638: alpha beta gamma delta epsilon zeta eta theta.\nrecord000639: alpha beta gamma delta epsilon zeta eta theta.\nrecord000640: alpha beta gamma delta epsilon zeta eta theta.\nrecord000641: alpha beta gamma delta epsilon zeta eta theta.\nrecord000642: alpha beta gamma delta epsilon zeta eta theta.\nrecord000643: alpha beta gamma delta epsilon zeta eta theta.\nrecord000644: alpha beta gamma delta epsilon zeta eta theta.\nrecord000645: alpha beta gamma delta epsilon zeta eta theta.\nrecord000646: alpha beta gamma delta epsilon zeta eta theta.\nrecord000647: alpha beta gamma delta epsilon zeta eta theta.\nrecord000648: alpha beta gamma delta epsilon zeta eta theta.\nrecord000649: alpha beta gamma delta epsilon zeta eta theta.\nrecord000650: alpha beta gamma delta epsilon zeta eta theta.\nrecord000651: alpha beta gamma delta epsilon zeta eta theta.\nrecord000652: alpha beta gamma delta epsilon zeta eta theta.\nrecord000653: alpha beta gamma delta epsilon zeta eta theta.\nrecord000654: alpha beta gamma delta epsilon zeta eta theta.\nrecord000655: alpha beta gamma delta epsilon zeta eta theta.\nrecord000656: alpha beta gamma delta epsilon zeta eta theta.\nrecord000657: alpha beta gamma delta epsilon zeta eta theta.\nrecord000658: alpha beta gamma delta epsilon zeta eta theta.\nrecord000659: alpha beta gamma delta epsilon zeta eta theta.\nrecord000660: alpha beta gamma delta epsilon zeta eta theta.\nrecord000661: alpha beta gamma delta epsilon zeta eta theta.\nrecord000662: alpha beta gamma delta epsilon zeta eta theta.\nrecord000663: alpha beta gamma delta epsilon zeta eta theta.\nrecord000664: alpha beta gamma delta epsilon zeta eta theta.\nrecord000665: alpha beta gamma delta epsilon zeta eta theta.\nrecord000666: alpha beta gamma delta epsilon zeta eta theta.\nrecord000667: alpha beta gamma delta epsilon zeta eta theta.\nrecord000668: alpha beta gamma delta epsilon zeta eta theta.\nrecord000669: alpha beta gamma delta epsilon zeta eta theta.\nrecord000670: alpha beta gamma delta epsilon zeta eta theta.\nrecord000671: alpha beta gamma delta epsilon zeta eta theta.\nrecord000672: alpha beta gamma delta epsilon zeta eta theta.\nrecord000673: alpha beta gamma delta epsilon zeta eta theta.\nrecord000674: alpha beta gamma delta epsilon zeta eta theta.\nrecord000675: alpha beta gamma delta epsilon zeta eta theta.\nrecord000676: alpha beta gamma delta epsilon zeta eta theta.\nrecord000677: alpha beta gamma delta epsilon zeta eta theta.\nrecord000678: alpha beta gamma delta epsilon zeta eta theta.\nrecord000679: alpha beta gamma delta epsilon zeta eta theta.\nrecord000680: alpha beta gamma delta epsilon zeta eta theta.\nrecord000681: alpha beta gamma delta epsilon zeta eta theta.\nrecord000682: alpha beta gamma delta epsilon zeta eta theta.\nrecord000683: alpha beta gamma delta epsilon zeta eta theta.\nrecord000684: alpha beta gamma delta epsilon zeta eta theta.\nrecord000685: alpha beta gamma delta epsilon zeta eta theta.\nrecord000686: alpha beta gamma delta epsilon zeta eta theta.\nrecord000687: alpha beta gamma delta epsilon zeta eta theta.\nrecord000688: alpha beta gamma delta epsilon zeta eta theta.\nrecord000689: alpha beta gamma delta epsilon zeta eta theta.\nrecord000690: alpha beta gamma delta epsilon zeta eta theta.\nrecord000691: alpha beta gamma delta epsilon zeta eta theta.\nrecord000692: alpha beta gamma delta epsilon zeta eta theta.\nrecord000693: alpha beta gamma delta epsilon zeta eta theta.\nrecord000694: alpha beta gamma delta epsilon zeta eta theta.\nrecord000695: alpha beta gamma delta epsilon zeta eta theta.\nrecord000696: alpha beta gamma delta epsilon zeta eta theta.\nrecord000697: alpha beta gamma delta epsilon zeta eta theta.\nrecord000698: alpha beta gamma delta epsilon zeta eta theta.\nrecord000699: alpha beta gamma delta epsilon zeta eta theta.\nrecord000700: alpha beta gamma delta epsilon zeta eta theta.\nrecord000701: alpha beta gamma delta epsilon zeta eta theta.\nrecord000702: alpha beta gamma delta epsilon zeta eta theta.\nrecord000703: alpha beta gamma delta epsilon zeta eta theta.\nrecord000704: alpha beta gamma delta epsilon zeta eta theta.\nrecord000705: alpha beta gamma delta epsilon zeta eta theta.\nrecord000706: alpha beta gamma delta epsilon zeta eta theta.\nrecord000707: alpha beta gamma delta epsilon zeta eta theta.\nrecord000708: alpha beta gamma delta epsilon zeta eta theta.\nrecord000709: alpha beta gamma delta epsilon zeta eta theta.\nrecord000710: alpha beta gamma delta epsilon zeta eta theta.\nrecord000711: alpha beta gamma delta epsilon zeta eta theta.\nrecord000712: alpha beta gamma delta epsilon zeta eta theta.\nrecord000713: alpha beta gamma delta epsilon zeta eta theta.\nrecord000714: alpha beta gamma delta epsilon zeta eta theta.\nrecord000715: alpha beta gamma delta epsilon zeta eta theta.\nrecord000716: alpha beta gamma delta epsilon zeta eta theta.\nrecord000717: alpha beta gamma delta epsilon zeta eta theta.\nrecord000718: alpha beta gamma delta epsilon zeta eta theta.\nrecord000719: alpha beta gamma delta epsilon zeta eta theta.\nrecord000720: alpha beta gamma delta epsilon zeta eta theta.\nrecord000721: alpha beta gamma delta epsilon zeta eta theta.\nrecord000722: alpha beta gamma delta epsilon zeta eta theta.\nrecord000723: alpha beta gamma delta epsilon zeta eta theta.\nrecord000724: alpha beta gamma delta epsilon zeta eta theta.\nrecord000725: alpha beta gamma delta epsilon zeta eta theta.\nrecord000726: alpha beta gamma delta epsilon zeta eta theta.\nrecord000727: alpha beta gamma delta epsilon zeta eta theta.\nrecord000728: alpha beta gamma delta epsilon zeta eta theta.\nrecord000729: alpha beta gamma delta epsilon zeta eta theta.\nrecord000730: alpha beta gamma delta epsilon zeta eta theta.\nrecord000731: alpha beta gamma delta epsilon zeta eta theta.\nrecord000732: alpha beta gamma delta epsilon zeta eta theta.\nrecord000733: alpha beta gamma delta epsilon zeta eta theta.\nrecord000734: alpha beta gamma delta epsilon zeta eta theta.\nrecord000735: alpha beta gamma delta epsilon zeta eta theta.\nrecord000736: alpha beta gamma delta epsilon zeta eta theta.\nrecord000737: alpha beta gamma delta epsilon zeta eta theta.\nrecord000738: alpha beta gamma delta epsilon zeta eta theta.\nrecord000739: alpha beta gamma delta epsilon zeta eta theta.\nrecord000740: alpha beta gamma delta epsilon zeta eta theta.\nrecord000741: alpha beta gamma delta epsilon zeta eta theta.\nrecord000742: alpha beta gamma delta epsilon zeta eta theta.\nrecord000743: alpha beta gamma delta epsilon zeta eta theta.\nrecord000744: alpha beta gamma delta epsilon zeta eta theta.\nrecord000745: alpha beta gamma delta epsilon zeta eta theta.\nrecord000746: alpha beta gamma delta epsilon zeta eta theta.\nrecord000747: alpha beta gamma delta epsilon zeta eta theta.\nrecord000748: alpha beta gamma delta epsilon zeta eta theta.\nrecord000749: alpha beta gamma delta epsilon zeta eta theta.\nrecord000750: alpha beta gamma delta epsilon zeta eta theta.\nrecord000751: alpha beta gamma delta epsilon zeta eta theta.\nrecord000752: alpha beta gamma delta epsilon zeta eta theta.\nrecord000753: alpha beta gamma delta epsilon zeta eta theta.\nrecord000754: alpha beta gamma delta epsilon zeta eta theta.\nrecord000755: alpha beta gamma delta epsilon zeta eta theta.\nrecord000756: alpha beta gamma delta epsilon zeta eta theta.\nrecord000757: alpha beta gamma delta epsilon zeta eta theta.\nrecord000758: alpha beta gamma delta epsilon zeta eta theta.\nrecord000759: alpha beta gamma delta epsilon zeta eta theta.\nrecord000760: alpha beta gamma delta epsilon zeta eta theta.\nrecord000761: alpha beta gamma delta epsilon zeta eta theta.\nrecord000762: alpha beta gamma delta epsilon zeta eta theta.\nrecord000763: alpha beta gamma delta epsilon zeta eta theta.\nrecord000764: alpha beta gamma delta epsilon zeta eta theta.\nrecord000765: alpha beta gamma delta epsilon zeta eta theta.\nrecord000766: alpha beta gamma delta epsilon zeta eta theta.\nrecord000767: alpha beta gamma delta epsilon zeta eta theta.\nrecord000768: alpha beta gamma delta epsilon zeta eta theta.\nrecord000769: alpha beta gamma delta epsilon zeta eta theta.\nrecord000770: alpha beta gamma delta epsilon zeta eta theta.\nrecord000771: alpha beta gamma delta epsilon zeta eta theta.\nrecord000772: alpha beta gamma delta epsilon zeta eta theta.\nsouth = S-875\nrecord000773: alpha beta gamma delta epsilon zeta eta theta.\nrecord000774: alpha beta gamma delta epsilon zeta eta theta.\nrecord000775: alpha beta gamma delta epsilon zeta eta theta.\nrecord000776: alpha beta gamma delta epsilon zeta eta theta.\nrecord000777: alpha beta gamma delta epsilon zeta eta theta.\nrecord000778: alpha beta gamma delta epsilon zeta eta theta.\nrecord000779: alpha beta gamma delta epsilon zeta eta theta.\nrecord000780: alpha beta gamma delta epsilon zeta eta theta.\nrecord000781: alpha beta gamma delta epsilon zeta eta theta.\nrecord000782: alpha beta gamma delta epsilon zeta eta theta.\nrecord000783: alpha beta gamma delta epsilon zeta eta theta.\nrecord000784: alpha beta gamma delta epsilon zeta eta theta.\nrecord000785: alpha beta gamma delta epsilon zeta eta theta.\nrecord000786: alpha beta gamma delta epsilon zeta eta theta.\nrecord000787: alpha beta gamma delta epsilon zeta eta theta.\nrecord000788: alpha beta gamma delta epsilon zeta eta theta.\nrecord000789: alpha beta gamma delta epsilon zeta eta theta.\nrecord000790: alpha beta gamma delta epsilon zeta eta theta.\nrecord000791: alpha beta gamma delta epsilon zeta eta theta.\nrecord000792: alpha beta gamma delta epsilon zeta eta theta.\nrecord000793: alpha beta gamma delta epsilon zeta eta theta.\nrecord000794: alpha beta gamma delta epsilon zeta eta theta.\nrecord000795: alpha beta gamma delta epsilon zeta eta theta.\nrecord000796: alpha beta gamma delta epsilon zeta eta theta.\nrecord000797: alpha beta gamma delta epsilon zeta eta theta.\nrecord000798: alpha beta gamma delta epsilon zeta eta theta.\nrecord000799: alpha beta gamma delta epsilon zeta eta theta.\nrecord000800: alpha beta gamma delta epsilon zeta eta theta.\nrecord000801: alpha beta gamma delta epsilon zeta eta theta.\nrecord000802: alpha beta gamma delta epsilon zeta eta theta.\nrecord000803: alpha beta gamma delta epsilon zeta eta theta.\nrecord000804: alpha beta gamma delta epsilon zeta eta theta.\nrecord000805: alpha beta gamma delta epsilon zeta eta theta.\nrecord000806: alpha beta gamma delta epsilon zeta eta theta.\nrecord000807: alpha beta gamma delta epsilon zeta eta theta.\nrecord000808: alpha beta gamma delta epsilon zeta eta theta.\nrecord000809: alpha beta gamma delta epsilon zeta eta theta.\nrecord000810: alpha beta gamma delta epsilon zeta eta theta.\nrecord000811: alpha beta gamma delta epsilon zeta eta theta.\nrecord000812: alpha beta gamma delta epsilon zeta eta theta.\nrecord000813: alpha beta gamma delta epsilon zeta eta theta.\nrecord000814: alpha beta gamma delta epsilon zeta eta theta.\nrecord000815: alpha beta gamma delta epsilon zeta eta theta.\nrecord000816: alpha beta gamma delta epsilon zeta eta theta.\nrecord000817: alpha beta gamma delta epsilon zeta eta theta.\nrecord000818: alpha beta gamma delta epsilon zeta eta theta.\nrecord000819: alpha beta gamma delta epsilon zeta eta theta.\nrecord000820: alpha beta gamma delta epsilon zeta eta theta.\nrecord000821: alpha beta gamma delta epsilon zeta eta theta.\nrecord000822: alpha beta gamma delta epsilon zeta eta theta.\nrecord000823: alpha beta gamma delta epsilon zeta eta theta.\nrecord000824: alpha beta gamma delta epsilon zeta eta theta.\nrecord000825: alpha beta gamma delta epsilon zeta eta theta.\nrecord000826: alpha beta gamma delta epsilon zeta eta theta.\nrecord000827: alpha beta gamma delta epsilon zeta eta theta.\nrecord000828: alpha beta gamma delta epsilon zeta eta theta.\nrecord000829: alpha beta gamma delta epsilon zeta eta theta.\nrecord000830: alpha beta gamma delta epsilon zeta eta theta.\nrecord000831: alpha beta gamma delta epsilon zeta eta theta.\nrecord000832: alpha beta gamma delta epsilon zeta eta theta.\nrecord000833: alpha beta gamma delta epsilon zeta eta theta.\nrecord000834: alpha beta gamma delta epsilon zeta eta theta.\nrecord000835: alpha beta gamma delta epsilon zeta eta theta.\nrecord000836: alpha beta gamma delta epsilon zeta eta theta.\nrecord000837: alpha beta gamma delta epsilon zeta eta theta.\nrecord000838: alpha beta gamma delta epsilon zeta eta theta.\nrecord000839: alpha beta gamma delta epsilon zeta eta theta.\nrecord000840: alpha beta gamma delta epsilon zeta eta theta.\nrecord000841: alpha beta gamma delta epsilon zeta eta theta.\nrecord000842: alpha beta gamma delta epsilon zeta eta theta.\nrecord000843: alpha beta gamma delta epsilon zeta eta theta.\nrecord000844: alpha beta gamma delta epsilon zeta eta theta.\nrecord000845: alpha beta gamma delta epsilon zeta eta theta.\nrecord000846: alpha beta gamma delta epsilon zeta eta theta.\nrecord000847: alpha beta gamma delta epsilon zeta eta theta.\nrecord000848: alpha beta gamma delta epsilon zeta eta theta.\nrecord000849: alpha beta gamma delta epsilon zeta eta theta.\nrecord000850: alpha beta gamma delta epsilon zeta eta theta.\nrecord000851: alpha beta gamma delta epsilon zeta eta theta.\nrecord000852: alpha beta gamma delta epsilon zeta eta theta.\nrecord000853: alpha beta gamma delta epsilon zeta eta theta.\nrecord000854: alpha beta gamma delta epsilon zeta eta theta.\nrecord000855: alpha beta gamma delta epsilon zeta eta theta.\nrecord000856: alpha beta gamma delta epsilon zeta eta theta.\nrecord000857: alpha beta gamma delta epsilon zeta eta theta.\nrecord000858: alpha beta gamma delta epsilon zeta eta theta.\nReturn only a JSON object containing north and south and their values."}], "tools": null, "final_answer": "{\"north\":\"N-124\",\"south\":\"S-875\"}", "reasoning": "We need answer user's request. User gave a long text with records and embedded lines:\nnorth = N-124\nsouth = S-875\nInstruction: \"Return only a JSON object containing north and south and their values.\"\nNeed output JSON object with north and south and their values. Likely {\"north\":\"N-124\",\"south\":\"S-875\"}.\nNeed ensure only JSON no markdown.\nNeed final only JSON.\n", "tool_calls": [], "finish_reason": "stop", "usage": {"prompt_tokens": 16390, "completion_tokens": 118, "total_tokens": 16508, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 16390, "prompt_ms": 5036.8, "prompt_per_token_ms": 0.307, "prompt_per_second": 3254.1, "predicted_n": 118, "predicted_ms": 770.5, "predicted_per_token_ms": 6.53, "predicted_per_second": 153.1, "draft_n": 105, "draft_n_accepted": 74}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 5.82175, "first_delta": {"offset_s": 5.062152, "kind": "reasoning"}, "first_answer_offset_s": 5.745118, "client_events": [[5.062152, "reasoning"], [5.081207, "reasoning"], [5.081222, "reasoning"], [5.081231, "reasoning"], [5.081239, "reasoning"], [5.099769, "reasoning"], [5.09979, "reasoning"], [5.099834, "reasoning"], [5.099881, "reasoning"], [5.111418, "reasoning"], [5.123057, "reasoning"], [5.134696, "reasoning"], [5.149363, "reasoning"], [5.149385, "reasoning"], [5.16935, "reasoning"], [5.169365, "reasoning"], [5.188937, "reasoning"], [5.207648, "reasoning"], [5.207675, "reasoning"], [5.207693, "reasoning"], [5.226112, "reasoning"], [5.226144, "reasoning"], [5.226167, "reasoning"], [5.226183, "reasoning"], [5.245029, "reasoning"], [5.245063, "reasoning"], [5.245081, "reasoning"], [5.245098, "reasoning"], [5.264211, "reasoning"], [5.264243, "reasoning"], [5.264266, "reasoning"], [5.264282, "reasoning"], [5.283035, "reasoning"], [5.283067, "reasoning"], [5.28309, "reasoning"], [5.283106, "reasoning"], [5.301977, "reasoning"], [5.302004, "reasoning"], [5.321938, "reasoning"], [5.321969, "reasoning"], [5.321991, "reasoning"], [5.322008, "reasoning"], [5.340604, "reasoning"], [5.34063, "reasoning"], [5.340649, "reasoning"], [5.340675, "reasoning"], [5.359064, "reasoning"], [5.359096, "reasoning"], [5.359118, "reasoning"], [5.359134, "reasoning"], [5.37348, "reasoning"], [5.373507, "reasoning"], [5.387825, "reasoning"], [5.387868, "reasoning"], [5.406397, "reasoning"], [5.406424, "reasoning"], [5.417924, "reasoning"], [5.430013, "reasoning"], [5.448649, "reasoning"], [5.44868, "reasoning"], [5.448698, "reasoning"], [5.468201, "reasoning"], [5.468232, "reasoning"], [5.468254, "reasoning"], [5.468271, "reasoning"], [5.485365, "reasoning"], [5.505266, "reasoning"], [5.523394, "reasoning"], [5.523427, "reasoning"], [5.523451, "reasoning"], [5.523468, "reasoning"], [5.542062, "reasoning"], [5.542094, "reasoning"], [5.542113, "reasoning"], [5.560565, "reasoning"], [5.579676, "reasoning"], [5.579709, "reasoning"], [5.579732, "reasoning"], [5.579749, "reasoning"], [5.599219, "reasoning"], [5.599247, "reasoning"], [5.599257, "reasoning"], [5.599265, "reasoning"], [5.617922, "reasoning"], [5.63755, "reasoning"], [5.637583, "reasoning"], [5.637605, "reasoning"], [5.637621, "reasoning"], [5.65613, "reasoning"], [5.67482, "reasoning"], [5.674853, "reasoning"], [5.674872, "reasoning"], [5.689119, "reasoning"], [5.689148, "reasoning"], [5.707564, "reasoning"], [5.70759, "reasoning"], [5.726206, "reasoning"], [5.726233, "reasoning"], [5.745118, "answer"], [5.745147, "answer"], [5.764382, "answer"], [5.76441, "answer"], [5.76442, "answer"], [5.764428, "answer"], [5.78273, "answer"], [5.782765, "answer"], [5.782789, "answer"], [5.782817, "answer"], [5.801777, "answer"], [5.801821, "answer"], [5.801845, "answer"], [5.801861, "answer"], [5.821685, "answer"], [5.821706, "answer"], [5.821717, "answer"]]} +{"request_id": "sanity-T1", "phase": "sanity", "case_id": "T1", "request": {"stream": true, "stream_options": {"include_usage": true}, "max_tokens": 2048, "seed": 1, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}, "tool_choice": "auto"}, "messages": [{"role": "user", "content": "[case sanity-T1]\nUse lookup_record to look up record A-17."}], "tools": [{"type": "function", "function": {"name": "lookup_record", "description": "Synthetic benchmark lookup; no external action is performed.", "parameters": {"type": "object", "properties": {"id": {"type": "string"}}, "required": ["id"], "additionalProperties": false}}}], "final_answer": "", "reasoning": "The user wants me to look up record A-17 using the lookup_record tool. This is a simple, direct request. Let me make the call.\n", "tool_calls": [{"id": "call_25b336cec7fb451c8e532c90", "name": "lookup_record", "arguments": "{\"id\":\"A-17\"}"}], "finish_reason": "tool_calls", "usage": {"prompt_tokens": 325, "completion_tokens": 64, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 325, "prompt_ms": 655.2, "prompt_per_token_ms": 2.016, "prompt_per_second": 496.0, "predicted_n": 64, "predicted_ms": 357.4, "predicted_per_token_ms": 5.584, "predicted_per_second": 179.1, "draft_n": 57, "draft_n_accepted": 47}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 1.017966, "first_delta": {"offset_s": 0.671165, "kind": "reasoning"}, "first_answer_offset_s": 0.906675, "client_events": [[0.671165, "reasoning"], [0.689113, "reasoning"], [0.689134, "reasoning"], [0.707133, "reasoning"], [0.707148, "reasoning"], [0.707157, "reasoning"], [0.707166, "reasoning"], [0.725217, "reasoning"], [0.725239, "reasoning"], [0.725286, "reasoning"], [0.725323, "reasoning"], [0.743827, "reasoning"], [0.743841, "reasoning"], [0.743851, "reasoning"], [0.743859, "reasoning"], [0.762437, "reasoning"], [0.762463, "reasoning"], [0.762497, "reasoning"], [0.762534, "reasoning"], [0.780483, "reasoning"], [0.780508, "reasoning"], [0.780526, "reasoning"], [0.78057, "reasoning"], [0.799279, "reasoning"], [0.817451, "reasoning"], [0.81748, "reasoning"], [0.817489, "reasoning"], [0.834912, "reasoning"], [0.834938, "reasoning"], [0.852797, "reasoning"], [0.852823, "reasoning"], [0.852894, "reasoning"], [0.852921, "reasoning"], [0.906675, "tool_call"], [0.906706, "tool_call"], [0.94316, "tool_call"], [0.94319, "tool_call"], [0.943227, "tool_call"], [0.943274, "tool_call"], [0.96118, "tool_call"], [0.961209, "tool_call"], [1.017913, "tool_call"], [1.01793, "tool_call"]]} +{"request_id": "sanity-T2", "phase": "sanity", "case_id": "T2", "request": {"stream": true, "stream_options": {"include_usage": true}, "max_tokens": 2048, "seed": 1, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}, "tool_choice": "auto"}, "messages": [{"role": "user", "content": "[case sanity-T2]\nUse get_weather for Zagreb in celsius."}], "tools": [{"type": "function", "function": {"name": "get_weather", "description": "Synthetic benchmark lookup; no external action is performed.", "parameters": {"type": "object", "properties": {"city": {"type": "string"}, "unit": {"type": "string"}}, "required": ["city", "unit"], "additionalProperties": false}}}], "final_answer": "", "reasoning": "The user wants me to call get_weather for Zagreb in celsius. Simple single call.\n", "tool_calls": [{"id": "call_58d0b20a6fac4e7696637657", "name": "get_weather", "arguments": "{\"city\":\"Zagreb\",\"unit\":\"celsius\"}"}], "finish_reason": "tool_calls", "usage": {"prompt_tokens": 335, "completion_tokens": 63, "total_tokens": 398, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 335, "prompt_ms": 495.1, "prompt_per_token_ms": 1.478, "prompt_per_second": 676.6, "predicted_n": 63, "predicted_ms": 334.9, "predicted_per_token_ms": 5.316, "predicted_per_second": 188.1, "draft_n": 51, "draft_n_accepted": 46}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 0.833696, "first_delta": {"offset_s": 0.509139, "kind": "reasoning"}, "first_answer_offset_s": 0.667636, "client_events": [[0.509139, "reasoning"], [0.527382, "reasoning"], [0.527412, "reasoning"], [0.527452, "reasoning"], [0.545731, "reasoning"], [0.545751, "reasoning"], [0.545787, "reasoning"], [0.565074, "reasoning"], [0.565105, "reasoning"], [0.565153, "reasoning"], [0.582843, "reasoning"], [0.582873, "reasoning"], [0.582918, "reasoning"], [0.582962, "reasoning"], [0.601055, "reasoning"], [0.601081, "reasoning"], [0.612131, "reasoning"], [0.631743, "reasoning"], [0.631769, "reasoning"], [0.631805, "reasoning"], [0.667636, "tool_call"], [0.667666, "tool_call"], [0.703998, "tool_call"], [0.704027, "tool_call"], [0.704039, "tool_call"], [0.721834, "tool_call"], [0.721862, "tool_call"], [0.759051, "tool_call"], [0.759084, "tool_call"], [0.759108, "tool_call"], [0.777597, "tool_call"], [0.777626, "tool_call"], [0.833621, "tool_call"], [0.833654, "tool_call"]]} +{"request_id": "sanity-T3", "phase": "sanity", "case_id": "T3", "request": {"stream": true, "stream_options": {"include_usage": true}, "max_tokens": 2048, "seed": 1, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}, "tool_choice": "auto"}, "messages": [{"role": "user", "content": "[case sanity-T3]\nUse convert_units to convert 3 km to m."}], "tools": [{"type": "function", "function": {"name": "convert_units", "description": "Synthetic benchmark lookup; no external action is performed.", "parameters": {"type": "object", "properties": {"value": {"type": "number"}, "from_unit": {"type": "string"}, "to_unit": {"type": "string"}}, "required": ["value", "from_unit", "to_unit"], "additionalProperties": false}}}], "final_answer": "", "reasoning": "The user wants to convert 3 km to m using the convert_units tool.\n", "tool_calls": [{"id": "call_bf5f0367fd8c473dbe3450d1", "name": "convert_units", "arguments": "{\"value\":3,\"from_unit\":\"km\",\"to_unit\":\"m\"}"}], "finish_reason": "tool_calls", "usage": {"prompt_tokens": 352, "completion_tokens": 71, "total_tokens": 423, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 352, "prompt_ms": 499.0, "prompt_per_token_ms": 1.418, "prompt_per_second": 705.4, "predicted_n": 71, "predicted_ms": 341.9, "predicted_per_token_ms": 4.815, "predicted_per_second": 207.7, "draft_n": 54, "draft_n_accepted": 52}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 0.84518, "first_delta": {"offset_s": 0.513224, "kind": "reasoning"}, "first_answer_offset_s": 0.640281, "client_events": [[0.513224, "reasoning"], [0.531181, "reasoning"], [0.531211, "reasoning"], [0.531253, "reasoning"], [0.531292, "reasoning"], [0.549173, "reasoning"], [0.549194, "reasoning"], [0.549247, "reasoning"], [0.549286, "reasoning"], [0.567536, "reasoning"], [0.567557, "reasoning"], [0.567602, "reasoning"], [0.56764, "reasoning"], [0.586089, "reasoning"], [0.586102, "reasoning"], [0.586123, "reasoning"], [0.586131, "reasoning"], [0.640281, "tool_call"], [0.640311, "tool_call"], [0.677389, "tool_call"], [0.733339, "tool_call"], [0.733368, "tool_call"], [0.73338, "tool_call"], [0.733391, "tool_call"], [0.788805, "tool_call"], [0.788834, "tool_call"], [0.788845, "tool_call"], [0.807302, "tool_call"], [0.84511, "tool_call"], [0.845143, "tool_call"]]} +{"request_id": "sanity-T4", "phase": "sanity", "case_id": "T4", "request": {"stream": true, "stream_options": {"include_usage": true}, "max_tokens": 2048, "seed": 1, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}, "tool_choice": "auto"}, "messages": [{"role": "user", "content": "[case sanity-T4]\nUse get_build_status for project Orion, build 17."}], "tools": [{"type": "function", "function": {"name": "get_build_status", "description": "Synthetic benchmark lookup; no external action is performed.", "parameters": {"type": "object", "properties": {"project": {"type": "string"}, "build": {"type": "integer"}}, "required": ["project", "build"], "additionalProperties": false}}}], "final_answer": "", "reasoning": "User asked to use get_build_status for project Orion, build 17. Simple tool call.\n", "tool_calls": [{"id": "call_21d1bb0211b0437cb83db434", "name": "get_build_status", "arguments": "{\"project\":\"Orion\",\"build\":17}"}], "finish_reason": "tool_calls", "usage": {"prompt_tokens": 339, "completion_tokens": 64, "total_tokens": 403, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 339, "prompt_ms": 500.3, "prompt_per_token_ms": 1.476, "prompt_per_second": 677.6, "predicted_n": 64, "predicted_ms": 351.3, "predicted_per_token_ms": 5.489, "predicted_per_second": 182.2, "draft_n": 53, "draft_n_accepted": 46}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 0.855639, "first_delta": {"offset_s": 0.514327, "kind": "reasoning"}, "first_answer_offset_s": 0.706957, "client_events": [[0.514327, "reasoning"], [0.530864, "reasoning"], [0.549093, "reasoning"], [0.549123, "reasoning"], [0.567348, "reasoning"], [0.567378, "reasoning"], [0.567422, "reasoning"], [0.567462, "reasoning"], [0.58576, "reasoning"], [0.585792, "reasoning"], [0.585835, "reasoning"], [0.585877, "reasoning"], [0.603955, "reasoning"], [0.603977, "reasoning"], [0.604034, "reasoning"], [0.604059, "reasoning"], [0.615123, "reasoning"], [0.633915, "reasoning"], [0.652483, "reasoning"], [0.652508, "reasoning"], [0.652542, "reasoning"], [0.706957, "tool_call"], [0.706987, "tool_call"], [0.725206, "tool_call"], [0.725234, "tool_call"], [0.743555, "tool_call"], [0.743584, "tool_call"], [0.780663, "tool_call"], [0.780696, "tool_call"], [0.855562, "tool_call"], [0.855596, "tool_call"]]} +{"request_id": "concurrency-r1-c1", "phase": "concurrency", "case_id": "short-burst", "request": {"stream": true, "stream_options": {"include_usage": true}, "max_tokens": 512, "seed": 1, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}}, "messages": [{"role": "user", "content": "[case concurrency-r1-c1]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table finds a value in two main steps:\n\n1. **Hash the key** \n The key is passed through a hash function, which converts it into an array index (a bucket slot).\n\n2. **Look up the bucket** \n The table checks that bucket for the key and its associated value.\n\nIf the key is found, the table returns its value. If not, it may continue searching according to the collision-resolution method, or return “not found.”\n\n### Collisions\n\nA **collision** happens when two different keys hash to the same bucket.\n\nCommon ways to handle collisions:\n\n- **Chaining**: each bucket holds a list of key-value pairs.\n- **Open addressing**: if the bucket is full, try another bucket according to a probe sequence.\n\n### Small example\n\nAssume a hash table uses modulo 7: `index = hash(key) % 7`.\n\nInsert:\n\n```text\nput(\"apple\", 10)\nput(\"banana\", 20)\n```\n\nSuppose:\n\n```text\nhash(\"apple\") % 7 = 2\nhash(\"banana\") % 7 = 2\n```\n\nBoth keys collide in bucket 2, so the table might store:\n\n```text\nbucket 2: [ (\"apple\", 10), (\"banana\", 20) ]\n```\n\nTo find `\"banana\"`:\n\n1. Compute: `hash(\"banana\") % 7 = 2`\n2. Go to bucket 2.\n3. Search the bucket and find `(\"banana\", 20)`.\n4. Return `20`.", "reasoning": "We need answer user: \"Explain how a hash table finds a value, including collisions and one small example. [case concurrency-r1-c1]\" Need likely straightforward explanation. Need final concise but detailed enough. No need concurrency? tag case concurrency-r1-c1 maybe from eval? They ask hash table finds value, collisions, example. Could mention concurrent? No, hash table. Let's craft final.\n", "tool_calls": [], "finish_reason": "stop", "usage": {"prompt_tokens": 78, "completion_tokens": 432, "total_tokens": 510, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 78, "prompt_ms": 256.3, "prompt_per_token_ms": 3.286, "prompt_per_second": 304.3, "predicted_n": 432, "predicted_ms": 3023.6, "predicted_per_token_ms": 6.999, "predicted_per_second": 142.9, "draft_n": 362, "draft_n_accepted": 243}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 9.751499, "first_delta": {"offset_s": 6.708178, "kind": "reasoning"}, "first_answer_offset_s": 7.476349, "client_events": [[6.708178, "reasoning"], [6.720666, "reasoning"], [6.731824, "reasoning"], [6.742854, "reasoning"], [6.754237, "reasoning"], [6.765473, "reasoning"], [6.776559, "reasoning"], [6.788219, "reasoning"], [6.799459, "reasoning"], [6.810423, "reasoning"], [6.822076, "reasoning"], [6.833532, "reasoning"], [6.844579, "reasoning"], [6.856154, 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1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}}, "messages": [{"role": "user", "content": "[case concurrency-r1-c2]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table finds a value in roughly these steps:\n\n1. **Start with a key** \n For example, the key might be `\"apple\"`.\n\n2. **Hash the key** \n A hash function turns the key into an integer, such as `17`.\n\n3. **Convert to a bucket index** \n If the table has size `10`, compute:\n\n ```text\n index = 17 % 10 = 7\n ```\n\n So the table looks in bucket `7`.\n\n4. **Look in that bucket** \n If the bucket contains a key-value pair, it checks whether the stored key matches the search key.\n\n5. **Return the value if the key matches** \n For example, if bucket `7` contains:\n\n ```text\n (\"apple\", 3)\n ```\n\n and you search for `\"apple\"`, the hash table returns `3`.\n\n## Collisions\n\nA collision happens when two different keys hash to the same bucket.\n\nFor example:\n\n```text\nhash(\"apple\") % 10 = 7\nhash(\"banana\") % 10 = 7\n```\n\nBoth `\"apple\"` and `\"banana\"` map to bucket `7`.\n\nCommon ways to handle collisions:\n\n- **Separate chaining**: each bucket stores a list of entries.\n- **Open addressing**: if the bucket is full, the table checks another bucket, such as the next one.\n\n## Small example\n\nUsing separate chaining, the table might look like this:\n\n```text\nbucket 7:\n (\"apple\", 3)\n (\"banana\", 5)\n\nbucket 8:\n (\"cherry\", 7)\n```\n\nIf you search for `\"banana\"`:\n\n```text\nhash(\"banana\") % 10 = 7\ngo to bucket 7\ncheck entries:\n \"apple\" does not match\n \"banana\" matches\nreturn 5\n```\n\nSo the value for `\"banana\"` is `5`.", "reasoning": "We need answer user: \"Explain how a hash table finds a value, including collisions and one small example.\n\nNeed provide concise but clear. 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512, "seed": 3, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}}, "messages": [{"role": "user", "content": "[case concurrency-r1-c3]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table stores key-value pairs by converting each key into an index into an array using a hash function.\n\n### How lookup works\n\n1. The hash table receives a key, e.g. `\"apple\"`.\n2. It passes the key to a hash function.\n3. The hash function produces a number.\n4. That number is mapped to a table index, often using modulo.\n5. The hash table goes to that index and checks the stored key.\n6. If the stored key matches, it returns the associated value.\n\n### Collisions\n\nA collision happens when two different keys hash to the same index.\n\nExample: both `\"apple\"` and `\"banana\"` might hash to index `2`.\n\nCommon collision handling methods include:\n\n- **Chaining**: each index stores a linked list or another collection of entries.\n- **Open addressing**: if the slot is occupied, the table searches for another slot using a probe sequence.\n\n### Small example\n\nSuppose the table size is 3 and we use a simple hash:\n\n```text\nhash(key) = length(key) % 3\n```\n\nInsert:\n\n```text\n\"hi\" -> length 2 -> index 2: value 1\n\"dog\" -> length 3 -> index 0: value 2\n\"cat\" -> length 3 -> index 0: value 3\n```\n\nNow index 0 contains both `\"dog\"` and `\"cat\"`. This is a collision.\n\nIf using chaining, index 0 might look like:\n\n```text\n0: [\"dog\" -> 2, \"cat\" -> 3]\n1: empty\n2: [\"hi\" -> 1]\n```\n\nLookup `\"cat\"`:\n\n```text\nhash(\"cat\") = 3 % 3 = 0\n```\n\nGo to index 0, scan the chain, find key `\"cat\"`, return value `3`.", "reasoning": "We need answer user: \"Explain how a hash table finds a value, including collisions and one small example.\" Simple explanation. Need final concise but complete. Include hash, index, buckets, collisions (chaining or open addressing), small example. Case concurrency-r1-c3 maybe irrelevant. Need maybe avoid concurrency? Could mention thread safety? Not asked. Just explain. 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"temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}}, "messages": [{"role": "user", "content": "[case concurrency-r1-c4]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table finds a value by converting a key into an index using a **hash function**, then checking that index for the stored value.\n\n### How it works\n1. **Hash the key**\n - Example key: `\"apple\"`\n - A hash function computes something like `hash(\"apple\") = 12`.\n\n2. **Map to a bucket/index**\n - If the table has size 8, use:\n ```text\n 12 % 8 = 4\n ```\n - So look in bucket 4.\n\n3. **Compare the stored key**\n - If bucket 4 contains a pair like `(\"apple\", 10)`, and the key matches, return `10`.\n\n### Collisions\nA **collision** happens when two different keys hash to the same index.\n\nExample:\n```text\nhash(\"apple\") % 8 = 4\nhash(\"banana\") % 8 = 4\n```\n\nIf both need to be stored at index 4, the hash table must handle the collision.\n\nCommon methods:\n- **Separate chaining**: each bucket holds a list of key/value pairs.\n- **Open addressing**: if the bucket is full, try another bucket according to a probing rule.\n\n### Small example with chaining\nAssume hash table size 8 and collisions use chains.\n\nInsert:\n```text\n(\"apple\", 10)\n(\"banana\", 20)\n```\n\nSuppose both hash to bucket 4.\n\nTable bucket 4 becomes:\n\n```text\n4: (\"apple\", 10) -> (\"banana\", 20)\n```\n\nNow search for `\"banana\"`:\n1. Compute hash: `hash(\"banana\") % 8 = 4`\n2. Go to bucket 4.\n3. Check `\"apple\"` — not a match.\n4. Check `\"banana\"` — match.\n5. Return `20`.\n\nSo a hash table finds values quickly by hashing to a", "reasoning": "We need to answer user's request: \"[case concurrency-r1-c4] Explain how a hash table finds a value, including collisions and one small example.\" Need likely concise but explanatory. Need final answer. Could maybe mention not concurrency? The case tag perhaps from some benchmark? Maybe just answer. Need include collisions and small example. Maybe also note open addressing vs chaining. 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to the key:\n\n ```text\n index = hash(key) % table_size\n ```\n\n2. **Look at the slot/bucket** \n It goes to the computed index.\n\n3. **Compare the key** \n If that bucket contains a key, it compares the stored key with the search key.\n - If the keys match, return the associated value.\n - If not, handle the collision.\n\n4. **Collision handling** \n A collision happens when different keys hash to the same index.\n\n Common solutions:\n\n - **Chaining**: each bucket contains a list of entries. \n The search traverses that list and compares keys.\n - **Open addressing**: if the first slot is occupied, probe another slot, such as the next index.\n\n**Small example**", "reasoning": "We need answer user: \"Explain how a hash table finds a value, including collisions and one small example. We need respond final with explanation. Need probably concise but detailed. Topic concurrency-r2-c1? Could hint concurrency? Maybe case id. But user just asks hash table finds value including collisions and example. Need likely mention concurrency? The case concurrency-r2-c1 maybe from benchmark expects mention race conditions? Let's think.\n\nNeed ensure answer covers:\n- key hashed to index via hash function and array size.\n- if empty return null/not found.\n- if occupied, compare keys; if match return value.\n- collisions: same index different keys; resolve via chaining (linked list) or open addressing (probe). If chaining: traverse bucket. If open addressing: linear/quadratic/double hash until key found or empty marker.\n- small example: table size 5, hash(k)=k%5. Insert keys 12 (vA), 17 (vB) both index2; find 17 checks 12 not match then 17 match. Need mention concurrency? Given case concurrency-r2-c1 maybe expect concurrency risk? 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true}}, "messages": [{"role": "user", "content": "[case concurrency-r2-c2]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table finds a value by turning the key into an array index using a hash function.\n\n**Steps:**\n\n1. **Hash the key:** \n The key is passed through a hash function, producing a number.\n\n Example: \n `hash(\"apple\") = 7`\n\n2. **Map to a bucket/index:** \n The hash value is converted into an array index, often using modulo.\n\n Example, with table size 10: \n `7 % 10 = 7`\n\n3. **Look at that bucket:** \n - If the bucket is empty, the key is not present.\n - If a key is stored there, compare it with the requested key.\n - If it matches, return the value.\n\n**Collisions:**\n\nA collision happens when two different keys hash to the same index.\n\nFor example:\n\n```text\nhash(\"apple\") = 7\nhash(\"banana\") = 17\n```\n\nWith table size 10:\n\n```text\n7 % 10 = 7\n17 % 10 = 7\n```\n\nBoth map to index 7.\n\nCommon ways to handle collisions:\n\n- **Chaining:** each bucket contains a small list of key-value pairs.\n- **Open addressing:** if a slot is taken, try another slot using a probing rule.\n\n**Small example using chaining:**\n\n```text\ntable[7] -> \"apple\": 5\n \"banana\": 9\n```\n\nTo find `\"banana\"`:\n\n1. Hash `\"banana\"` → index 7.\n2. Check bucket 7.\n3. Check keys in the list.\n4. Find `\"banana\"` and return `9`.", "reasoning": "We need answer user: \"Explain how a hash table finds a value, including collisions and one small example.\" Need produce final. Keep concise but thorough. Explain hashing key to index, locate bucket, compare key, collisions open addressing or chaining, small example. 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"[case concurrency-r2-c3]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table finds a value by converting its key into an index and then looking in the bucket stored at that index.\n\n### Steps\n\n1. **Hash the key** \n The hash table takes the key and passes it through a hash function.\n\n Example:\n\n ```text\n hash(\"apple\") → 3\n ```\n\n2. **Use the hash to choose a bucket** \n The result is mapped to a position in an array.\n\n ```text\n bucket index = hash(key) % table_size\n ```\n\n3. **Look in that bucket** \n The table checks the bucket at that index for the value.\n\n4. **Compare keys to find the right value** \n A bucket may contain more than one key, so after hashing, the hash table compares the stored key with the requested key to make sure it returns the correct value.\n\n---\n\n## Collisions\n\nA **collision** happens when two different keys produce the same bucket index.\n\nFor example:\n\n```text\nhash(\"apple\") = 3\nhash(\"banana\") = 3\n```\n\nBoth keys want to go into bucket `3`.\n\nHash tables handle collisions using methods such as:\n\n- **Chaining:** each bucket stores a list of key-value pairs.\n- **Open addressing:** if a bucket is full, the table checks another slot according to a probing rule.\n\n---\n\n## Small example using chaining\n\nSuppose the hash table size is `5`, and the hash function is:\n\n```text\nindex = len(key) % 5\n```\n\nInsert:\n\n```text\n\"cat\" → 3\n\"dog\" → 3\n\"bird\" → 4\n```\n\nThe table looks like this:\n\n```text\n0:\n1:\n2:\n3: (\"cat\" → 10), (\"dog\" → 20)\n4: (\"bird\" → 30)\n```\n\nNow find the value for `\"dog\"`.\n\n1. Compute the bucket:\n\n```text\nlen(\"dog", "reasoning": "We need answer user: \"Explain how a hash table finds a value, including collisions and one small example.\" We need respond final with explanation. Need be clear. Mention hashing key to index, array bucket, search bucket, collisions, methods: chaining or open addressing. small example maybe keys \"apple\" hash mod 7, collision banana? 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[9.743198, "answer"], [9.743217, "answer"]]} +{"request_id": "concurrency-r2-c4", "phase": "concurrency", "case_id": "short-burst", "request": {"stream": true, "stream_options": {"include_usage": true}, "max_tokens": 512, "seed": 8, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}}, "messages": [{"role": "user", "content": "[case concurrency-r2-c4]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table finds a value by turning a key into a table index.\n\n1. **Hash the key**\n - The key is passed through a hash function, producing a number.\n - That number is mapped to a bucket index, usually with modulo:\n \\[\n index = hash(key) \\bmod tableSize\n \\]\n\n2. **Go to the bucket**\n - The table goes directly to the bucket at that index.\n\n3. **Check for the key**\n - If the bucket contains an entry, it compares the stored key with the searched", "reasoning": "We need answer user: \"[case concurrency-r2-c4]\nExplain how a hash table finds a value, including collisions and one small example.\"\n\nNeed produce final answer. Need maybe consider concurrency tag? case concurrency-r2-c4 maybe perhaps test case for concurrency? The request just asks explain hash table finds value including collisions and example. Could include concurrency? The tag says concurrency-r2-c4 but user didn't ask concurrency explicitly. Maybe they expect simple explanation? The case ID maybe benchmark. We should answer concise but thorough. Need include steps: hash key -> index, check bucket, collisions handled by chaining or open addressing, example. Maybe mention lock/concurrency? Since tag includes concurrency maybe maybe include note about concurrent access? But user asks hash table finds a value, collisions, example. Could mention that in concurrent setting need locks/atomic read? Maybe optional. Let's craft final with clear steps and example. Use key-value. Example: keys \"apple\" hash mod 4 etc. Hash table find: compute hash(key), mod table size, examine slot. If occupied and matches key return value; if collision: if chaining walk linked list; if open addressing probe next. Example with collision: table size 4, hash: int('a')%4=1? Need example. Use h(key)=first letter position mod 4: \"apple\" A=1, \"ant\" A=1. Buckets: 1: apple->banana? Wait if insert apple first then ant. Find ant: h=1, compare apple not equal, next ant match return. Also mention load factor, O(1) average. If concurrent, add read lock or concurrent map. Need answer maybe include case? No need. Final. Ensure not too short? Desired oververbosity 9, but user asks simple. Could include bullets, pseudocode, example table. 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"temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}}, "messages": [{"role": "user", "content": "[case concurrency-r3-c1]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table finds a value by using the key’s hash code to locate a bucket, then searching inside that bucket for the exact key.\n\n**Lookup steps:**\n\n1. **Hash the key** \n Compute a hash code from the key, e.g. `hash(\"apple\")`.\n\n2. **Map to a bucket index** \n Convert the hash code to a table index, often using modulo:\n `index = hash(key) % table_size`\n\n3. **Go to that bucket** \n Check the bucket at that index.\n\n4. **Handle collisions** \n If multiple keys hash to the same bucket, the table uses a collision strategy:\n - **Chaining:** the bucket stores a linked list or small array of entries; search through it.\n - **Open addressing:** if the bucket is occupied, probe for another slot using a rule such as linear probing.\n\n5. **Compare keys** \n In the matching bucket/probe sequence, compare stored keys to the requested key. If found, return the associated value. If not found after checking the collision chain/probe sequence, return “not found.”\n\n**Small example:**\n\nTable size: 5\n\n```text\nInsert:\n\"apple\" -> 10 hash(\"apple\") % 5 = 2\n\"banana\" -> 20 hash(\"banana\") % 5 = 2\n```\n\nBoth hash to index 2, so there is a collision. With chaining:\n\n```text\nindex 2 -> [(\"banana\", 20), (\"apple\", 10)]\n```\n\nLookup:\n\n```text\nget(\"apple\")\nhash(\"apple\") % 5 = 2\ncheck index 2\ncompare keys:\n \"banana\" != \"apple\"\n \"apple\" == \"apple\"\nreturn 10\n```", "reasoning": "We need answer user: \"Explain how a hash table finds a value, including collisions and one small example. [case concurrency-r3-c1]\" Need provide concise but complete. done. Now final. Need maybe include lookup steps: hash key, index, bucket, collisions via chaining/open addressing, compare keys. Small example. Concurrency tag? \"case concurrency-r3-c1\" maybe they expect something about concurrency? User only asks hash table finds value including collisions. Could mention concurrent access if relevant? Maybe case identifier only. Keep focused. Need explain. 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"chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}}, "messages": [{"role": "user", "content": "[case concurrency-r3-c2]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table finds a value in roughly these steps:\n\n1. **Hash the key** \n The key is passed through a hash function to produce an integer hash value.\n\n2. **Map to a bucket index** \n That hash is reduced to an array index, often with something like:\n\n ```text\n index = hash(key) % table_size\n ```\n\n3. **Look in that bucket** \n The table checks the entry or entries stored at that index.\n\n4. **Compare keys** \n If a stored entry’s key equals the requested key, the table returns its value. \n If not, and collisions are handled properly, the table continues searching.\n\n## Handling collisions\n\nA **collision** happens when two different keys hash to the same", "reasoning": "We need answer user: \"[case concurrency-r3-c2]\nExplain how a hash table finds a value, including collisions and one small example.\"\n\nNeed produce final answer. Need likely address concurrency? The tag case concurrency-r3-c2 maybe expected mention concurrency? User asks explain hash table finds value, collisions, small example. Could include thread-safety? The case id might be from some eval maybe wants concise explanation. Need ensure correct. Maybe mention lookup: hash key -> index, compare keys, if collision use chaining or open addressing. Concurrency? Since tag says concurrency, perhaps include how concurrent access affects finds? But prompt: Explain how hash table finds value, including collisions and one small example. Could add \"in concurrent setting, lookups may need read locks/atomic/concurrent maps\". Need not overdo. Let's craft clear answer.\n\nFinal: steps: 1 compute hash, 2 mod/array index, 3 bucket, 4 if entry key equals target return value, if no entry return missing. Collisions: different keys same index; strategies: separate chaining (linked list/array of buckets) or open addressing (linear probing etc.) to find next slot or chain entry. Example: capacity 4 hash(key)=key%4; keys 25->1, 9->1 collision; chain: bucket 1: key25 val \"Alice\", key9 val \"Bob\". lookup 9: hash=1, traverse chain, match 9 return Bob. Concurrency note: if other threads may insert/delete, lookup requires appropriate synchronization (e.g., read-write lock or concurrent hash map's volatile/atomic references) so it doesn't observe inconsistent bucket state.\n", "tool_calls": [], "finish_reason": "length", "usage": {"prompt_tokens": 78, "completion_tokens": 512, "total_tokens": 590, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 78, "prompt_ms": 250.4, "prompt_per_token_ms": 3.21, "prompt_per_second": 311.5, "predicted_n": 512, "predicted_ms": 6071.8, "predicted_per_token_ms": 11.859, "predicted_per_second": 84.3, "draft_n": 0, "draft_n_accepted": 0}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 6.939665, "first_delta": {"offset_s": 0.877584, "kind": "reasoning"}, "first_answer_offset_s": 4.843609, "client_events": [[0.877584, "reasoning"], [0.893134, "reasoning"], [0.904661, "reasoning"], [0.915514, "reasoning"], [0.926832, "reasoning"], [0.938805, 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Compute `index = hash(key) % 8`\n2. Go to that bucket.\n3. Check the stored key(s) in that bucket.\n4. If the key matches, return the associated value.\n\nIf two keys hash to the same index, that is a collision. Common handling:\n\n- Chaining: each bucket stores a linked list or array of entries.\n- Open addressing: probe nearby slots until an empty or matching slot is found.\n\nSmall example using chaining:\n\n```text\nput(\"apple\", 10) hash(\"apple\") % 8 = 3\nput(\"banana\", 20) hash(\"banana\") % 8 = 3\n```\n\nBucket 3:\n\n```text\n[ \"apple\" -> 10 ] -> [ \"banana\" -> 20 ]", "reasoning": "We need answer user: \"[case concurrency-r3-c3] Explain how a hash table finds a value, including collisions and one small example.\" Need likely concise but detailed. Need final only. Need maybe mention concurrency? The tag concurrency-r3-c3 maybe benchmark case? But request generic hash table finds value. Could mention concurrent? It says case concurrency maybe expects concurrency-related? Let's parse: \"[case concurrency-r3-c3] Explain how a hash table finds a value, including collisions and one small example.\" Maybe they want hash table lookup under concurrency? Hmm tag might be from evaluation requiring certain style? The prompt simple. Need explain how hash table finds a value, including collisions and small example. Could mention open addressing vs chaining. Since concurrency tag, maybe include read concurrency? \"In a concurrent hash table, readers may see published entries via memory barrier or locks; lookup follows same path but must acquire appropriate lock/version check\" But user doesn't ask concurrency explicitly except tag. We should likely answer core and add note about concurrency briefly. Need avoid overdoing. Include steps: hash key -> index -> bucket -> compare keys -> if collision traverse chain/probe. Small example: hash table size 8, hash(k) mod 8, put \"apple\" hash 3, \"banana\" hash 3, lookup banana: hash=3, bucket linked list [apple, banana], compare, match. Collisions handled by chaining or probing. Concurrency note: with locks/CHM. 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including collisions and one small example."}], "tools": null, "final_answer": "A hash table finds a value by using the **key** to compute a location in an internal array, then checking that location for the matching key/value pair.\n\n## How lookup works\n\n1. **Hash the key**\n - The hash table applies a hash function to the key to produce an integer hash code.\n\n Example:\n\n ```text\n hash(\"apple\") = 17\n ```\n\n2. **Map the hash code to an index**\n - The hash table converts that integer into an array index.\n\n Example:\n\n ```text\n index = hash(key) % table_size\n ```\n\n If the table size is 7:\n\n ```text", "reasoning": "We need answer user: \"Explain how a hash table finds a value, including collisions and one small example. [case concurrency-r3-c4]\"\n\nNeed provide concise but thorough explanation. Include how hash table finds value: hash key to index, bucket, equality check, collisions handling (separate chaining or open addressing), load factor/rehash maybe. Small example. Case concurrency? Maybe irrelevant tag? Could mention concurrency? User didn't ask. Need maybe \"case concurrency-r3-c4\" perhaps test label. Need final only.\n\nNeed ensure not too verbose? Desired oververbosity 9. So detailed. No need citations. Let's craft with example: keys: \"apple\"->1, \"banana\"->2. hash mod 7: apple h=3, banana h=3 collision. If separate chaining bucket3 has (apple,1)->(banana,2). Find banana: hash to 3, scan chain compare key banana, return 2. If open addressing linear probing, probe next slots.\n\nMention get procedure:\n1 compute hash function\n2 index = hash(key) % capacity\n3 access bucket\n4 if chaining scan entries; if open addressing probe until empty or match\n5 compare keys, return value. If no match return not found.\nCollisions: same index. Must preserve lookup. Also if table resized, hash modulo changes.\n\nCould mention deterministic hash, immutable key, equality. Concurrency? Since tag concurrency, maybe mention thread safety: concurrent hash table may lock bucket/segment for get or use atomic reads; not required. The user only asks hash table finds value. 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/dev/null +++ b/bench/results/2026-11-08-standard-4x-rtx-3090-e32ea56b/provenance/chat_template.jinja @@ -0,0 +1,184 @@ +{%- set image_count = namespace(value=0) %} +{%- set video_count = namespace(value=0) %} +{%- macro render_content(content, do_vision_count, is_system_content=false) %} + {%- if content is string %} + {{- content }} + {%- elif content is iterable and content is not mapping %} + {%- for item in content %} + {%- if 'image' in item or 'image_url' in item or item.type == 'image' %} + {%- if is_system_content %} + {{- raise_exception('System message cannot contain images.') }} + {%- endif %} + {%- if do_vision_count %} + {%- set image_count.value = image_count.value + 1 %} + {%- endif %} + {%- if add_vision_id %} + {{- 'Picture ' ~ image_count.value ~ ': ' }} + {%- endif %} + {{- '<|vision_start|><|image_pad|><|vision_end|>' }} + {%- elif 'video' in item or item.type == 'video' %} + {%- if is_system_content %} + {{- raise_exception('System message cannot contain videos.') }} + {%- endif %} + {%- if do_vision_count %} + {%- set video_count.value = video_count.value + 1 %} + {%- endif %} + {%- if add_vision_id %} + {{- 'Video ' ~ video_count.value ~ ': ' }} + {%- endif %} + {{- '<|vision_start|><|video_pad|><|vision_end|>' }} + {%- elif 'text' in item %} + {{- item.text }} + {%- else %} + {{- raise_exception('Unexpected item type in content.') }} + {%- endif %} + {%- endfor %} + {%- elif content is none or content is undefined %} + {{- '' }} + {%- else %} + {{- raise_exception('Unexpected content type.') }} + {%- endif %} +{%- endmacro %} +{%- if not messages %} + {{- raise_exception('No messages provided.') }} +{%- endif %} +{%- set sysns = namespace(count=0, text='') %} +{%- for message in messages %} + {%- if sysns.count == loop.index0 and (message.role == 'system' or message.role == 'developer') %} + {%- set sys_content = render_content(message.content, false, true)|trim %} + {%- if sys_content %} + {%- set sysns.text = sysns.text + ('\n' if sysns.text else '') + sys_content %} + {%- endif %} + {%- set sysns.count = sysns.count + 1 %} + {%- endif %} +{%- endfor %} +{%- set num_sys = sysns.count %} +{%- set merged_system = sysns.text %} +{%- set reasoning_instructions = '' %} +{%- if enable_thinking is undefined or enable_thinking is true %} + {%- set resolved_reasoning_effort = reasoning_effort|default('xhigh') %} + {%- if resolved_reasoning_effort == 'high' %} + {%- set resolved_reasoning_effort = 'xhigh' %} + {%- endif %} + {%- if resolved_reasoning_effort not in ('xhigh', 'medium', 'low') %} + {{- raise_exception('Unexpected reasoning effort ' ~ reasoning_effort ~ '. Supported types are xhigh (default), medium, and low.') }} + {%- endif %} + {%- if resolved_reasoning_effort == 'xhigh' %} + {%- set reasoning_instructions = 'Reasoning effort is set to xhigh. Please think carefully through the task, validate key assumptions, consider plausible alternatives, and prioritize correctness, consistency, and clarity in the final answer.' %} + {%- elif resolved_reasoning_effort == 'low' %} + {%- set reasoning_instructions = 'Reasoning effort is set to low. Keep your thinking brief and focused, moving directly to the conclusion without unnecessary elaboration.' %} + {%- endif %} +{%- endif %} +{%- if tools and tools is iterable and tools is not mapping %} + {{- '<|im_start|>system\n' }} + {%- if reasoning_instructions %} + {{- reasoning_instructions + '\n\n' }} + {%- endif %} + {{- "# Tools\n\nYou have access to the following functions:\n\n" }} + {%- for tool in tools %} + {{- "\n" }} + {{- tool | tojson }} + {%- endfor %} + {{- "\n" }} + {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n\n\n\nvalue_1\n\n\nThis is the value for the second parameter\nthat can span\nmultiple lines\n\n\n\n\n\nReminder:\n- Function calls MUST follow the specified format: an inner block must be nested within XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n' }} + {%- if merged_system %} + {{- '\n\n' + merged_system }} + {%- endif %} + {{- '<|im_end|>\n' }} +{%- else %} + {%- if merged_system %} + {{- '<|im_start|>system\n' + (reasoning_instructions + '\n\n' if reasoning_instructions else '') + merged_system + '<|im_end|>\n' }} + {%- elif reasoning_instructions %} + {{- '<|im_start|>system\n' + reasoning_instructions + '<|im_end|>\n' }} + {%- endif %} +{%- endif %} +{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %} +{%- for message in messages[::-1] %} + {%- set index = (messages|length - 1) - loop.index0 %} + {%- if ns.multi_step_tool and message.role == "user" %} + {%- set content = render_content(message.content, false)|trim %} + {%- if not(content.startswith('') and content.endswith('')) %} + {%- set ns.multi_step_tool = false %} + {%- set ns.last_query_index = index %} + {%- endif %} + {%- endif %} +{%- endfor %} +{%- for message in messages %} + {%- if loop.index0 >= num_sys %} + {%- set content = render_content(message.content, true)|trim %} + {%- if message.role == "system" or message.role == "developer" %} + {{- raise_exception('System message must be at the beginning.') }} + {%- elif message.role == "user" %} + {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }} + {%- elif message.role == "assistant" %} + {%- set reasoning_content = '' %} + {%- if message.reasoning_content is string %} + {%- set reasoning_content = message.reasoning_content %} + {%- endif %} + {%- set reasoning_content = reasoning_content|trim %} + {%- if preserve_thinking is undefined or preserve_thinking is true or loop.index0 > ns.last_query_index %} + {{- '<|im_start|>' + message.role + '\n\n' + reasoning_content + '\n\n\n' + content }} + {%- else %} + {{- '<|im_start|>' + message.role + '\n' + content }} + {%- endif %} + {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %} + {%- for tool_call in message.tool_calls %} + {%- if tool_call.function is defined %} + {%- set tool_call = tool_call.function %} + {%- endif %} + {%- if tool_call.name is not defined or tool_call.name is none %} + {{- raise_exception('Tool call is missing a function name.') }} + {%- endif %} + {%- if loop.first %} + {%- if content|trim %} + {{- '\n\n\n\n' }} + {%- else %} + {{- '\n\n' }} + {%- endif %} + {%- else %} + {{- '\n\n\n' }} + {%- endif %} + {%- if tool_call.arguments is mapping %} + {%- for args_name, args_value in tool_call.arguments|items %} + {{- '\n' }} + {%- set args_value = args_value | string if args_value is string else args_value | tojson | safe %} + {{- args_value }} + {{- '\n\n' }} + {%- endfor %} + {%- elif tool_call.arguments is string %} + {%- if tool_call.arguments|trim %} + {{- raise_exception('Tool call arguments for function "' + (tool_call.name | string) + '" were passed as a JSON string. Parse them into an object before calling apply_chat_template.') }} + {%- endif %} + {%- elif tool_call.arguments is defined and tool_call.arguments is not none %} + {{- raise_exception('Tool call arguments for function "' + (tool_call.name | string) + '" must be an object/mapping or a JSON string.') }} + {%- endif %} + {{- '\n' }} + {%- endfor %} + {%- endif %} + {{- '<|im_end|>\n' }} + {%- elif message.role == "tool" %} + {%- if loop.previtem and loop.previtem.role != "tool" %} + {{- '<|im_start|>user' }} + {%- endif %} + {{- '\n\n' }} + {{- content }} + {{- '\n' }} + {%- if not loop.last and loop.nextitem.role != "tool" %} + {{- '<|im_end|>\n' }} + {%- elif loop.last %} + {{- '<|im_end|>\n' }} + {%- endif %} + {%- else %} + {{- raise_exception('Unexpected message role.') }} + {%- endif %} + {%- endif %} +{%- endfor %} +{%- if add_generation_prompt %} + {{- '<|im_start|>assistant\n' }} + {%- if enable_thinking is defined and enable_thinking is false %} + {{- '\n\n\n\n' }} + {%- else %} + {{- '\n' }} + {%- endif %} +{%- endif %} +{#- Unsloth fixes - developer role, merged system messages, tool calling #} \ No newline at end of file diff --git a/bench/results/2026-11-08-standard-4x-rtx-3090-e32ea56b/provenance/corpus-build.json b/bench/results/2026-11-08-standard-4x-rtx-3090-e32ea56b/provenance/corpus-build.json new file mode 100644 index 00000000000..472565694c2 --- /dev/null +++ b/bench/results/2026-11-08-standard-4x-rtx-3090-e32ea56b/provenance/corpus-build.json @@ -0,0 +1,206 @@ +{ + "protocol_id": "strata-qwen38-thinking-v1-draft.1", + "bundle": "standard-v1", + "profile": "qwen3.8-flash-next-thinking", + "tokenizer_files": { + "vocab.json": "4ba64f0332abcfb0b600b7df1537d1e836e68009d5fb7cdb77339738dc6365c4", + "merges.txt": "080cf95432173729d160346b7882bd2a644b07f7a3813a3eb73f4e66787bfde9", + "token_type.json": "5088c8c298fc06af8382ddb3b76c888703ac2634e82263b97eedcc2ad202738b" + }, + "template": { + "path": "serve/chat_template.jinja", + "sha256": "ae9644304511ef71f28e036b6f65b4c709880bc5a23b7d0b42125ec63a8c70ca" + }, + "template_kwargs": { + "enable_thinking": true, + "preserve_thinking": true, + "reasoning_effort": "xhigh" + }, + "record_format": "record{:06d}: alpha beta gamma delta epsilon zeta eta theta.", + "short_task": "Explain how a hash table finds a value, including collisions and one small example.", + "summary_question": "Summarize the structure of these records and explain how to look up a record by its ID.", + "record_counts": { + "prompt-4k": { + "records": 211, + "target_tokens": 4096 + }, + "prompt-16k": { + "records": 858, + "target_tokens": 16384 + } + }, + "length_tolerance": 0.02, + "requests": [ + { + "id": "warmup", + "input_tokens": 75, + "max_shared_prefix_tokens": 47 + }, + { + "id": "performance-short-r1", + "input_tokens": 77, + "max_shared_prefix_tokens": 50 + }, + { + "id": "performance-prompt-4k-r1", + "input_tokens": 4093, + "max_shared_prefix_tokens": 54 + }, + { + "id": "performance-prompt-16k-r1", + "input_tokens": 16387, + "max_shared_prefix_tokens": 55 + }, + { + "id": "performance-short-r2", + "input_tokens": 77, + "max_shared_prefix_tokens": 50 + }, + { + "id": "performance-prompt-4k-r2", + "input_tokens": 4093, + "max_shared_prefix_tokens": 54 + }, + { + "id": "performance-prompt-16k-r2", + "input_tokens": 16387, + "max_shared_prefix_tokens": 55 + }, + { + "id": "performance-short-r3", + "input_tokens": 77, + "max_shared_prefix_tokens": 50 + }, + { + "id": "performance-prompt-4k-r3", + "input_tokens": 4093, + "max_shared_prefix_tokens": 54 + }, + { + "id": "performance-prompt-16k-r3", + "input_tokens": 16387, + "max_shared_prefix_tokens": 55 + }, + { + "id": "sanity-I1", + "input_tokens": 82, + "max_shared_prefix_tokens": 49 + }, + { + "id": "sanity-I2", + "input_tokens": 90, + "max_shared_prefix_tokens": 49 + }, + { + "id": "sanity-I3", + "input_tokens": 85, + "max_shared_prefix_tokens": 49 + }, + { + "id": "sanity-I4", + "input_tokens": 71, + "max_shared_prefix_tokens": 49 + }, + { + "id": "sanity-R1", + "input_tokens": 4089, + "max_shared_prefix_tokens": 49 + }, + { + "id": "sanity-R2", + "input_tokens": 4089, + "max_shared_prefix_tokens": 49 + }, + { + "id": "sanity-R3", + "input_tokens": 16382, + "max_shared_prefix_tokens": 49 + }, + { + "id": "sanity-R4", + "input_tokens": 16390, + "max_shared_prefix_tokens": 49 + }, + { + "id": "sanity-T1", + "input_tokens": 325, + "max_shared_prefix_tokens": 61 + }, + { + "id": "sanity-T2", + "input_tokens": 335, + "max_shared_prefix_tokens": 62 + }, + { + "id": "sanity-T3", + "input_tokens": 352, + "max_shared_prefix_tokens": 61 + }, + { + "id": "sanity-T4", + "input_tokens": 339, + "max_shared_prefix_tokens": 62 + }, + { + "id": "concurrency-r1-c1", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + }, + { + "id": "concurrency-r1-c2", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + }, + { + "id": "concurrency-r1-c3", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + }, + { + "id": "concurrency-r1-c4", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + }, + { + "id": "concurrency-r2-c1", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + }, + { + "id": "concurrency-r2-c2", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + }, + { + "id": "concurrency-r2-c3", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + }, + { + "id": "concurrency-r2-c4", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + }, + { + "id": "concurrency-r3-c1", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + }, + { + "id": "concurrency-r3-c2", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + }, + { + "id": "concurrency-r3-c3", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + }, + { + "id": "concurrency-r3-c4", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + } + ], + "note": "input_tokens counts the rendered thinking request with the generation prompt. max_shared_prefix_tokens is the longest token prefix this request shares with any other request of the bundle: cache reuse above it means the user payload was read from the cache." +} diff --git a/bench/results/2026-11-08-standard-4x-rtx-3090-e32ea56b/provenance/corpus-manifest.sha256 b/bench/results/2026-11-08-standard-4x-rtx-3090-e32ea56b/provenance/corpus-manifest.sha256 new file mode 100644 index 00000000000..3c6046bc54c --- /dev/null +++ b/bench/results/2026-11-08-standard-4x-rtx-3090-e32ea56b/provenance/corpus-manifest.sha256 @@ -0,0 +1,35 @@ +bc6c1f81d86863c3dc36a31f58010701d8ab05180f69f86c6978214409e43af2 build.json +f724855774dfbea89fade712a70d534a085c88cda6abc123db419fd79eefab49 requests/concurrency-r1-c1.json +2c85f877abbf144ca065c58efc2a7568aaf2c8dc317ad8266e78c149f8245abb requests/concurrency-r1-c2.json +264097f61645a0d5089562dc003b7748b1c20339c2df1290ad6664fc1834068a requests/concurrency-r1-c3.json +65895c5a5fab53c06e9358d88d921f1bfc9dc7cc8b6e8a2521ac90de080ff470 requests/concurrency-r1-c4.json 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+7af4c49f99192007be27110296b5a0bcc2efbc91c7ff1c337a6cac6732050559 requests/performance-prompt-16k-r3.json +bda0e60c2de0703899ac1bd5711d793b9b325c7f8ba6be6c967f22dd07d8dda8 requests/performance-prompt-4k-r1.json +e898eec0ee22499473179a719505c9feb9d3772658833f607dffb34c3727150e requests/performance-prompt-4k-r2.json +6d3b3300eace318574490f4379119409920cbe7e88fdaff28eb6f5c79430c3e3 requests/performance-prompt-4k-r3.json +483b4f18fcc64ca802fde3377c59bf7b114ec5a5c96fe781bd2be4665ef7b898 requests/performance-short-r1.json +b0ec85f40117303d19c8c17a4813625c8554f59caddbe69e7d8aafdcf51d501a requests/performance-short-r2.json +e210da20b80c61147da5102fcba65131dafbbb4ceee952fa6b91ce2bb06581ed requests/performance-short-r3.json +70ebcd31af5ae1bc7573136d9a257469d8ad9e85b5d0233980998e957c36d6c2 requests/sanity-I1.json +1cc6e4bc56b5a22043b6e384b3036170dc6d3edeb403be391a8b802b5613f4cb requests/sanity-I2.json +c29b13e6e31b674ff733202b3c0b1f9410768b9ea9368a4a6a13430b3e011fb8 requests/sanity-I3.json +780fbd1d02f119323cf50ac4dabcfffbd23dd84115efbe18152e7ee9112b041a requests/sanity-I4.json +3c1e0718ad06e591e47cf8df9c36bab2d13332d44b05e440ec17d0402bf9facc requests/sanity-R1.json +352e054c48e08e11d339d3a02a14f4f50125071710679b8d04b77aba711fbafc requests/sanity-R2.json +36770434f1ea046ec84b32691d644e8416e89fbcbb04b8f6032da66016d78291 requests/sanity-R3.json +a63df33c784732cc6b4d8a0f2258b7226c8df5a3b4f6818f9e886bbf09604999 requests/sanity-R4.json +6b272ef684b43c1e0004a40b958c807b84dcd9de579d4b2d8819e39ae4196fb2 requests/sanity-T1.json +8253ee4aa6b19e61e28d64406807218c9aa10cf2cf682101e8a2d6a50564de46 requests/sanity-T2.json +aa2be8761793f51eab6ef04bc54c96e018f6981b7a6a26b9e50cc3c7ac856803 requests/sanity-T3.json +04043bdec397df487bebd2999e280a9fae5925e5efec1a10fa96055ec3430faa requests/sanity-T4.json +d3365c57db8be1fd0dd9771f74f264b1f6994a396e472c3e5fa4ede2641ffb5c requests/warmup.json diff --git a/bench/results/2026-11-08-standard-4x-rtx-3090-e32ea56b/provenance/launch-config.json b/bench/results/2026-11-08-standard-4x-rtx-3090-e32ea56b/provenance/launch-config.json new file mode 100644 index 00000000000..0e11420129a --- /dev/null +++ b/bench/results/2026-11-08-standard-4x-rtx-3090-e32ea56b/provenance/launch-config.json @@ -0,0 +1,62 @@ +{ + "exe": "/bin/strata-212-stocktab-f83fd81691a5b053", + "args": [ + "--pack", + "/unsloth-ud-iq4_xs", + "--native", + "", + "--expert-profile", + "/data/expert-profile.bin", + "--expert-cache", + "auto", + "--prefill", + "auto", + "--spec", + "4", + "--spec-min-p", + "0.5", + "--mtp", + "/mtp/rt", + "--max-context", + "131072", + "--kv", + "int8", + "--ple-io", + "ram", + "--kv-resident", + "32768" + ], + "cwd": "", + "tokenizer": "/unsloth-ud-iq4_xs/tokenizer", + "model_name": "qwen3.8-flash-next-unsloth-ud-iq4_xs", + "log": "/engine-S.log", + "lib_dirs": [ + "/usr/local/cuda-13.0/bin", + "/usr/local/cuda-13.0/lib64" + ], + "port": 8091, + "env": { + "STRATA_HC_Q8": "1", + "STRATA_ROUTE_TAIL_SKIP": "0" + }, + "gpu": [ + 0, + 1, + 2, + 3 + ], + "gpus_asked": true, + "layer_split": "auto", + "gpu_order": "as_given", + "gpu_roles": { + "0": "helper", + "1": "helper", + "2": "helper", + "3": "main" + }, + "open_browser": false, + "parallel": 3, + "sampling": { + "presence_penalty": 0 + } +} diff --git a/bench/results/2026-11-08-standard-4x-rtx-3090-e32ea56b/results.json b/bench/results/2026-11-08-standard-4x-rtx-3090-e32ea56b/results.json new file mode 100644 index 00000000000..700d988c69f --- /dev/null +++ b/bench/results/2026-11-08-standard-4x-rtx-3090-e32ea56b/results.json @@ -0,0 +1,2541 @@ +{ + "format": "strata-standard-benchmark", + "schema_version": 1, + "protocol": { + "id": "strata-qwen38-thinking-v1-draft.1", + "git_commit": "146df3c468739147f520ac3816de806f71232571", + "profile": "qwen3.8-flash-next-thinking", + "corpus_sha256": "e75eff8b9feea04f745520b392c4c17d97aefc1ba185e222aa6740efa8f68407", + "model_card_revision": null + }, + "run": { + "id": "20261108T164512Z-e32ea56b", + "started_at": "2026-11-08T16:45:12Z", + "status": "complete", + "required_duration_s": 78.953, + "optional_duration_s": 30.083, + "optional_concurrency": true, + "command": "strata bench run --profile /cfg/run-S.json --no-start --out /stdbench-S --optional-concurrency --track custom --track-notes S: Strata-212@146df3c4, engine strata-212-stocktab-f83fd81691a5b053, CUDA 13.0 source build (STRATA_MMQ_TAB=ON), 4x RTX 3090 320 W, layer split over 4 cards; stock v0.2.12: the args/env stock setup writes for this box (128K, int8 KV, MTP, parallel 3 as strata launch sets for 24 GB), vision off, sampling.presence_penalty 0 (inert here: the suite sends 0); server env: [] --quantization UD-IQ4_XS --build-options CUDA 13.0, sm_86, STRATA_MMQ_TAB=ON, NATIVE_EXPERTS=ON, Q6K_EXPERTS=ON, MMQ_KQUANTS=ON --output json" + }, + "hardware": { + "gpus": [ + { + "device_index": 0, + "name": "NVIDIA GeForce RTX 3090", + "memory_bytes": 25769803776, + "memory_kind": "dedicated", + "power_limit_w": 320.0 + }, + { + "device_index": 1, + "name": "NVIDIA GeForce RTX 3090", + "memory_bytes": 25769803776, + "memory_kind": "dedicated", + "power_limit_w": 320.0 + }, + { + "device_index": 2, + "name": "NVIDIA GeForce RTX 3090", + "memory_bytes": 25769803776, + "memory_kind": "dedicated", + "power_limit_w": 320.0 + }, + { + "device_index": 3, + "name": "NVIDIA GeForce RTX 3090", + "memory_bytes": 25769803776, + "memory_kind": "dedicated", + "power_limit_w": 320.0 + } + ], + "cpu": "AMD Ryzen Threadripper 3990X 64-Core Processor", + "ram_bytes": 270073282560, + "storage": [ + { + "kind": "nvme", + "model": "CT1000P310SSD8", + "bus": "nvme" + } + ], + "background_workloads": null + }, + "software": { + "os": { + "name": "Ubuntu 24.04.5 LTS", + "version": "7.0.0-38-generic" + }, + "drivers": [ + { + "name": "gpu-driver", + "version": "580.196.07" + } + ], + "runtime": [ + { + "name": "cuda", + "version": "13.0" + } + ], + "strata_commit": "146df3c468739147f520ac3816de806f71232571", + "engine_version": 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"none: the request ended normally", + "/requests/2/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/2/evaluation": "not applicable outside the sanity stage", + "/requests/3/round": "not applicable outside the concurrency stage", + "/requests/3/error": "none: the request ended normally", + "/requests/3/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/3/evaluation": "not applicable outside the sanity stage", + "/requests/4/round": "not applicable outside the concurrency stage", + "/requests/4/error": "none: the request ended normally", + "/requests/4/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/4/evaluation": "not applicable outside the sanity stage", + "/requests/5/round": "not applicable outside the concurrency stage", + "/requests/5/error": "none: the request ended normally", + "/requests/5/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/5/evaluation": "not applicable outside the sanity stage", + "/requests/6/round": "not applicable outside the concurrency stage", + "/requests/6/error": "none: the request ended normally", + "/requests/6/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/6/evaluation": "not applicable outside the sanity stage", + "/requests/7/round": "not applicable outside the concurrency stage", + "/requests/7/error": "none: the request ended normally", + "/requests/7/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/7/evaluation": "not applicable outside the sanity stage", + "/requests/8/round": "not applicable outside the concurrency stage", + "/requests/8/error": "none: the request ended normally", + "/requests/8/timings/first_answer_s": "no answer text or tool call arrived (reasoning alone does not count)", + "/requests/8/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/8/evaluation": "not applicable outside the sanity stage", + "/requests/9/round": "not applicable outside the concurrency stage", + "/requests/9/error": "none: the request ended normally", + "/requests/9/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/9/evaluation": "not applicable outside the sanity stage", + "/requests/10/round": "not applicable outside the concurrency stage", + "/requests/10/error": "none: the request ended normally", + "/requests/10/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/11/round": "not applicable outside the concurrency stage", + "/requests/11/error": "none: the request ended normally", + "/requests/11/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/12/round": "not applicable outside the concurrency stage", + "/requests/12/error": "none: the request ended normally", + "/requests/12/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/13/round": "not applicable outside the concurrency stage", + "/requests/13/error": "none: the request ended normally", + "/requests/13/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/14/round": "not applicable outside the concurrency stage", + "/requests/14/error": "none: the request ended normally", + "/requests/14/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/15/round": "not applicable outside the concurrency stage", + "/requests/15/error": "none: the request ended normally", + "/requests/15/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/16/round": "not applicable outside the concurrency stage", + "/requests/16/error": "none: the request ended normally", + "/requests/16/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/17/round": "not applicable outside the concurrency stage", + "/requests/17/error": "none: the request ended normally", + "/requests/17/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/18/round": "not applicable outside the concurrency stage", + "/requests/18/error": "none: the request ended normally", + "/requests/18/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/19/round": "not applicable outside the concurrency stage", + "/requests/19/error": "none: the request ended normally", + "/requests/19/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/20/round": "not applicable outside the concurrency stage", + "/requests/20/error": "none: the request ended normally", + "/requests/20/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/21/round": "not applicable outside the concurrency stage", + "/requests/21/error": "none: the request ended normally", + "/requests/21/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/22/error": "none: the request ended normally", + "/requests/22/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/22/evaluation": "not applicable outside the sanity stage", + "/requests/23/error": "none: the request ended normally", + "/requests/23/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/23/evaluation": "not applicable outside the sanity stage", + "/requests/24/error": "none: the request ended normally", + "/requests/24/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/24/evaluation": "not applicable outside the sanity stage", + "/requests/25/error": "none: the request ended normally", + "/requests/25/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/25/evaluation": "not applicable outside the sanity stage", + "/requests/26/error": "none: the request ended normally", + "/requests/26/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/26/evaluation": "not applicable outside the sanity stage", + "/requests/27/error": "none: the request ended normally", + "/requests/27/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/27/evaluation": "not applicable outside the sanity stage", + "/requests/28/error": "none: the request ended normally", + "/requests/28/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/28/evaluation": "not applicable outside the sanity stage", + "/requests/29/error": "none: the request ended normally", + "/requests/29/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/29/evaluation": "not applicable outside the sanity stage", + "/requests/30/error": "none: the request ended normally", + "/requests/30/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/30/evaluation": "not applicable outside the sanity stage", + "/requests/31/error": "none: the request ended normally", + "/requests/31/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/31/evaluation": "not applicable outside the sanity stage", + "/requests/32/error": "none: the request ended normally", + "/requests/32/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/32/evaluation": "not applicable outside the sanity stage", + "/requests/33/error": "none: the request ended normally", + "/requests/33/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/33/evaluation": "not applicable outside the sanity stage" + }, + "extensions": { + "suite": "standard-v1", + "runner": "strata_cli.bench_standard", + "status_reasons": [], + "started_engine": false, + "server_requests_before_run": 0, + "other_engine_options": { + "--pack": "unsloth-ud-iq4_xs", + "--native": "Qwen3.8-Flash-Next-UD-IQ4_XS-00001-of-00003.gguf", + "--max-context": "131072", + "--ple-io": "ram", + "--batch": "3" + }, + "request_checks": { + "warmup": { + "max_shared_prefix_tokens": 47, + "frozen_input_tokens": 75, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "performance-short-r1": { + "max_shared_prefix_tokens": 50, + "frozen_input_tokens": 77, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "performance-prompt-4k-r1": { + "max_shared_prefix_tokens": 54, + "frozen_input_tokens": 4093, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "performance-prompt-16k-r1": { + "max_shared_prefix_tokens": 55, + "frozen_input_tokens": 16387, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "performance-short-r2": { + "max_shared_prefix_tokens": 50, + "frozen_input_tokens": 77, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "performance-prompt-4k-r2": { + "max_shared_prefix_tokens": 54, + "frozen_input_tokens": 4093, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "performance-prompt-16k-r2": { + "max_shared_prefix_tokens": 55, + "frozen_input_tokens": 16387, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "performance-short-r3": { + "max_shared_prefix_tokens": 50, + "frozen_input_tokens": 77, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "performance-prompt-4k-r3": { + "max_shared_prefix_tokens": 54, + "frozen_input_tokens": 4093, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "performance-prompt-16k-r3": { + "max_shared_prefix_tokens": 55, + "frozen_input_tokens": 16387, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-I1": { + "max_shared_prefix_tokens": 49, + "frozen_input_tokens": 82, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-I2": { + "max_shared_prefix_tokens": 49, + "frozen_input_tokens": 90, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-I3": { + "max_shared_prefix_tokens": 49, + "frozen_input_tokens": 85, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-I4": { + "max_shared_prefix_tokens": 49, + "frozen_input_tokens": 71, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-R1": { + "max_shared_prefix_tokens": 49, + "frozen_input_tokens": 4089, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-R2": { + "max_shared_prefix_tokens": 49, + "frozen_input_tokens": 4089, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-R3": { + "max_shared_prefix_tokens": 49, + "frozen_input_tokens": 16382, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-R4": { + "max_shared_prefix_tokens": 49, + "frozen_input_tokens": 16390, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-T1": { + "max_shared_prefix_tokens": 61, + "frozen_input_tokens": 325, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-T2": { + "max_shared_prefix_tokens": 62, + "frozen_input_tokens": 335, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-T3": { + "max_shared_prefix_tokens": 61, + "frozen_input_tokens": 352, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-T4": { + "max_shared_prefix_tokens": 62, + "frozen_input_tokens": 339, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r1-c1": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r1-c2": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r1-c3": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r1-c4": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r2-c1": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r2-c2": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r2-c3": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r2-c4": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r3-c1": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r3-c2": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r3-c3": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r3-c4": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + } + }, + "optional_stage_skipped": false, + "api_key_sent": false + } +} diff --git a/bench/results/2026-11-08-standard-4x-rtx-3090-eb4f9649/README.md b/bench/results/2026-11-08-standard-4x-rtx-3090-eb4f9649/README.md new file mode 100644 index 00000000000..ed926df823f --- /dev/null +++ b/bench/results/2026-11-08-standard-4x-rtx-3090-eb4f9649/README.md @@ -0,0 +1,79 @@ +# Strata standard benchmark: NVIDIA GeForce RTX 3090, NVIDIA GeForce RTX 3090, NVIDIA GeForce RTX 3090, NVIDIA GeForce RTX 3090 + +Protocol `strata-qwen38-thinking-v1-draft.1` (draft), run `20261108T162324Z-eb4f9649`, started 2026-11-08T16:23:24Z. **Status: complete.** + +Written by `strata bench run`. The machine-readable result is [results.json](results.json); every request, its raw usage and timings and the client event offsets are in [outputs.jsonl](outputs.jsonl). + +## Hardware and software + +- GPU: NVIDIA GeForce RTX 3090 (24.0 GiB dedicated); NVIDIA GeForce RTX 3090 (24.0 GiB dedicated); NVIDIA GeForce RTX 3090 (24.0 GiB dedicated); NVIDIA GeForce RTX 3090 (24.0 GiB dedicated) +- CPU: AMD Ryzen Threadripper 3990X 64-Core Processor; RAM: 251.5 GiB +- Storage of the model files: nvme CT1000P310SSD8 (nvme) +- OS: Ubuntu 24.04.5 LTS 7.0.0-38-generic; drivers: gpu-driver 580.196.07; runtime: cuda 13.0 +- Strata commit: `146df3c468739147f520ac3816de806f71232571`; engine 0.1.58; source build +- Background work: not measured + +## Model and configuration + +- Model: qwen3.8-flash-next-unsloth-ud-iq4_xs; quantization UD-IQ4_XS; revision not measured; source revision not measured +- Files: `Qwen3.8-Flash-Next-UD-IQ4_XS-00001-of-00003.gguf` `5ce89370720f8bf9...`; `Qwen3.8-Flash-Next-UD-IQ4_XS-00002-of-00003.gguf` `577a38a2392b40ca...`; `Qwen3.8-Flash-Next-UD-IQ4_XS-00003-of-00003.gguf` `d4634e6d84f0ebb0...`; `expert-profile.bin` `8f59b4aa8873209d...` +- Track: **custom** (C: Strata-212@146df3c4, engine strata-212-stocktab-f83fd81691a5b053, CUDA 13.0 source build (STRATA_MMQ_TAB=ON), 4x RTX 3090 320 W, layer split over 4 cards; stock v0.2.12 with our production args/env (16 slots, 262K, int8 KV, MTP, resident experts, conversation cache) + upstream's sm_86 table + stack, bit-changing defaults pinned to 0, sampling.presence_penalty 0; server env: [STRATA_ADMIT_SHORT_FIRST=8192]) +- Context 262144 tokens; server capacity 16 slot(s) +- Sampling: temperature 1.0, top_p 0.95, top_k 20, min_p 0.0, presence_penalty 0.0, repetition_penalty 1.0, reasoning_effort xhigh; thinking on, preserved +- Engine options: `config.json`; chat template: `provenance/chat_template.jinja` + +## Method + +The frozen requests of `bench/prompts/standard-v1` (corpus `e75eff8b9feea04f...`) were sent over loopback HTTP, streaming, one at a time, in this order: 1 warm-up (excluded), 3 repetitions of the short, 4K and 16K prompts, and the twelve sanity checks. Prompt and decode speed are the engine's own `timings`; time to first token is the client's monotonic clock from dispatch to the first nonempty reasoning, answer or tool-call delta. No request was retried. Time after the model loaded: 1 min 0 s. + +## Results + +| Case | Prompt tok/s | Decode tok/s | TTFT s | First answer s | Total s | Capped | +| --- | --- | --- | --- | --- | --- | --- | +| short | n/a | 136.1 (129.4-136.7) n=3 | 0.45 (0.15-0.45) n=3 | 1.07 (1.03-1.35) n=3 | 2.9 (2.7-3.5) n=3 | 0/3 | +| prompt-4k | 4997.6 (4960.6-5009.2) n=3 | 138.4 (128.7-141.4) n=3 | 0.84 (0.84-0.84) n=3 | 2.62 (2.04-2.95) n=3 | 4.5 (4.5-4.8) n=3 | 3/3 | +| prompt-16k | 5773.9 (5765.2-5790.5) n=3 | 117.4 (117.0-123.1) n=3 | 2.86 (2.86-2.87) n=3 | 6.28 (4.58-6.53) n=3 | 7.2 (6.8-7.2) n=3 | 2/3 | + +Cells are median (min-max) n=samples. Short is a prompt of about 80 tokens: its prompt rate is dominated by the fixed cost of a request, so it is not shown; read prompt speed from prompt-4k and prompt-16k. Capped = requests that reached the 512-token cap, reasoning and answer together. A capped request's total time is the time to the cap, not to an answer, and it has no first-answer time when it was still reasoning. + +| Phase | Planned | Completed | Truncated | Failed | Skipped | +| --- | ---: | ---: | ---: | ---: | ---: | +| warmup | 1 | 0 | 1 | 0 | 0 | +| performance | 9 | 4 | 5 | 0 | 0 | +| sanity | 12 | 12 | 0 | 0 | 0 | +| concurrency | 12 | 6 | 6 | 0 | 0 | + +Sanity checks: **12 of 12**. + +| Case | Result | Reason | +| --- | --- | --- | +| I1 | pass | the expected JSON value | +| I2 | pass | the expected JSON value | +| I3 | pass | the expected JSON value | +| I4 | pass | the exact expected text | +| R1 | pass | the exact expected text | +| R2 | pass | the exact expected text | +| R3 | pass | the exact expected text | +| R4 | pass | the expected JSON value | +| T1 | pass | the expected tool call | +| T2 | pass | the expected tool call | +| T3 | pass | the expected tool call | +| T4 | pass | the expected tool call | + +Concurrency rounds (four requests released together): + +| Round | Wall s | Output tokens | Aggregate tok/s | Failed | +| ---: | ---: | ---: | ---: | ---: | +| 1 | 7.049018 | 1963 | 278.478506 | 0 | +| 2 | 7.0625 | 2001 | 283.327434 | 0 | +| 3 | 6.821685 | 1829 | 268.115576 | 0 | + +## Failures, exclusions and limitations + +- No request failed. +- Excluded from speed summaries: concurrency-r1-c1: first_answer_s is not available for this request +- Excluded from speed summaries: concurrency-r3-c2: first_answer_s is not available for this request +- Prompt-prefix reuse is the shared template prefix only; the cache was not emptied between requests, and the expert cache stays warm and evolves. These are not cold-model measurements. +- Output caps include reasoning; a request that reaches its cap is `truncated` and fails its sanity check. +- The runner cannot see other programs on the machine, the repeat-stop and loop-recovery switches of the server, or the quantization repository's revision; see `missing` in results.json for every value it could not read. +- The server had answered no request before this run (a freshly loaded engine). diff --git a/bench/results/2026-11-08-standard-4x-rtx-3090-eb4f9649/config.json b/bench/results/2026-11-08-standard-4x-rtx-3090-eb4f9649/config.json new file mode 100644 index 00000000000..f672f17f16a --- /dev/null +++ b/bench/results/2026-11-08-standard-4x-rtx-3090-eb4f9649/config.json @@ -0,0 +1,55 @@ +{ + "engine_options": { + "--pack": "unsloth-ud-iq4_xs", + "--native": "Qwen3.8-Flash-Next-UD-IQ4_XS-00001-of-00003.gguf", + "--expert-profile": "expert-profile.bin", + "--expert-cache": "auto", + "--prefill": "512", + "--spec": "4", + "--spec-min-p": "0.5", + "--mtp": "rt", + "--max-context": "262144", + "--kv": "int8", + "--resident-experts": true, + "--trim-stage-weights": true, + "--ple-io": "ram", + "--aux-cpus": "65-127", + "--conversation-cache-mib": "126976", + "--conversation-cache-slots": "448", + "--kv-resident": "28672", + "--conversation-cache-min-free-mib": "16384", + "--conversation-cache-min-tokens": "1024", + "--vision": true, + "--prompt-cache-every": "8192", + "--prompt-cache": "12", + "--layer-split": "12,25,37", + "--batch": "16" + }, + "other_engine_options": { + "--pack": "unsloth-ud-iq4_xs", + "--native": "Qwen3.8-Flash-Next-UD-IQ4_XS-00001-of-00003.gguf", + "--max-context": "262144", + "--resident-experts": true, + "--trim-stage-weights": true, + "--ple-io": "ram", + "--aux-cpus": "65-127", + "--conversation-cache-mib": "126976", + "--conversation-cache-slots": "448", + "--conversation-cache-min-free-mib": "16384", + "--conversation-cache-min-tokens": "1024", + "--vision": true, + "--prompt-cache-every": "8192", + "--prompt-cache": "12", + "--batch": "16" + }, + "server_defaults": { + "temperature": 1.0, + "top_p": 0.95, + "top_k": 20, + "presence_penalty": 0.0, + "n_predict": -1 + }, + "total_slots": 16, + "context": 262144, + "source": "effective engine arguments of the profile" +} diff --git a/bench/results/2026-11-08-standard-4x-rtx-3090-eb4f9649/engine.log b/bench/results/2026-11-08-standard-4x-rtx-3090-eb4f9649/engine.log new file mode 100644 index 00000000000..6c7fdcba8fe --- /dev/null +++ b/bench/results/2026-11-08-standard-4x-rtx-3090-eb4f9649/engine.log @@ -0,0 +1,1101 @@ +load_hparams: Qwen-VL models require at minimum 1024 image tokens to function correctly on grounding tasks +load_hparams: if you encounter problems with accuracy, try adding --image-min-tokens 1024 +load_hparams: more info: https://github.com/ggml-org/llama.cpp/issues/16842 + +strata-vision: model files loaded in 1.1 s +strata-vision: on the CPU, 32 threads, no warm-up +[strata] 2026-11-08 17:20:48 engine started: /bin/strata-212-stocktab-f83fd81691a5b053 --serve --pack /unsloth-ud-iq4_xs --native --expert-profile --expert-cache auto --prefill 512 --spec 4 --spec-min-p 0.5 --mtp /mtp/rt --max-context 262144 --kv int8 --resident-experts --trim-stage-weights --ple-io ram --aux-cpus 65-127 --conversation-cache-mib 126976 --conversation-cache-slots 448 --kv-resident 28672 --conversation-cache-min-free-mib 16384 --conversation-cache-min-tokens 1024 --vision --prompt-cache-every 8192 --prompt-cache 12 --layer-split 12,25,37 --batch 16 +strata: sm_86 (Ampere): 9 exact speed switches on by default (STRATA_SM86_PERF=0 turns them off; a switch you set is kept): ADAPT_NOWAIT ADAPT_LAG CPU_IQ_ALL_EXACT1 SIDE_MIXER ATTN_DAILY GR_UP75 GU_SWIGLU QSA_ROWS B6_MMVQ_ROWS +strata generate: memory guard: limit 224.0 GiB (source: cgroup), current 1.4 GiB, reclaimable cache credited 0.0 GiB; available 222.6 GiB (MemAvailable 238.8 GiB), floor 16384 MiB +strata generate: layer split across 4 GPUs: CUDA0, then CUDA1,2,3 (split 12,25,37) +strata generate: PCIe probe: 13.0 GB/s host->device (best of 13.0 13.0 13.0 13.0) -> pcie_frac 0.36 (default 0.55) +strata generate: CPU expert kernels: AVX-2 +strata generate: native pack: /unsloth-ud-iq4_xs experts (largest blob 3.48 MB), token embedding Q8_0 in mapped host memory (644 MiB, 0.6 s) +strata generate: layer split: CUDA0 loads the dense weights of layers 0-11 only +strata generate: 463 MiB of weights loaded from /unsloth-ud-iq4_xs in 0.1 s (843 canonical tensors skipped: served natively) +strata generate: 76 native projection matrices, 763.67 MiB of weights, in 0.2 s +strata generate: PLE table locked in RAM (--ple-io ram) in 1.6 s +strata generate: layer split: CUDA1 loads the dense weights of layers 12-24 only +strata generate: layer split: CUDA1 PCIe probe 13.1 GB/s (best of 13.1 13.1 13.1 13.1) -> pcie_frac 0.36 +strata generate: layer split: CUDA1 holds its weights; 21.93 GiB free (its session follows the split search) +strata generate: layer split: CUDA2 loads the dense weights of layers 25-36 only +strata generate: layer split: CUDA2 PCIe probe 13.5 GB/s (best of 13.5 13.5 13.5 13.5) -> pcie_frac 0.37 +strata generate: layer split: CUDA2 holds its weights; 22.02 GiB free (its session follows the split search) +strata generate: layer split: CUDA3 loads the dense weights of layers 37-47 only +strata generate: layer split: CUDA3 PCIe probe 13.5 GB/s (best of 13.5 13.5 13.5 13.5) -> pcie_frac 0.37 +strata generate: layer split: CUDA3 holds its weights; 22.11 GiB free (its session follows the split search) +strata generate: profile : 24576 ranked pairs, built for 24576 slots +strata generate: KV streaming: 28672 of 262144 cells per QSA layer in VRAM, the K/V in 0.77 GiB of pinned RAM +strata generate: PLE on, table 320001536 rows of +strata generate: layer split: CUDA1 holds its weights, session [12, 25); 21.64 GiB free +strata generate: layer split: CUDA2 holds its weights, session [25, 37); 21.73 GiB free +strata generate: layer split: CUDA3 holds its weights, session [37, 48) and the head; 21.34 GiB free +strata generate: --batch-groups auto: 4 groups of 4 slots +strata generate: --batch: 16 slot sessions on CUDA0 (0.28 GiB each); 16.91 GiB free +strata generate: --batch: 16 slot sessions on CUDA1 (0.28 GiB each); 17.06 GiB free +strata generate: --batch: 16 slot sessions on CUDA2 (0.28 GiB each); 17.19 GiB free +strata generate: --batch: 16 slot sessions on CUDA3 (0.28 GiB each); 16.80 GiB free +strata generate: --batch 16: the slot sessions take 4.46 GiB of VRAM on CUDA0 that the expert cache would otherwise hold +strata mtp: draft layer loaded, 835 MiB of VRAM (experts 675, dense 111), files read in 0.53 s (1496 MiB/s) +strata generate: GPU 0: NVIDIA GeForce RTX 3090, compute capability 8.6 +strata generate: experts via mmap (--mmap-experts; the GGUF shards in place, no experts.bin) +strata generate: file tier (Linux defaults, the GGUF read in place): page-cached experts computed from the mapping (STRATA_COLD_OVERLAP=4), io prefetch with whole-blob preads on 8 I/O threads, the decode's read-ahead only while the page cache has room for it and it pays (STRATA_IO_PF_GATE=1); off: STRATA_COLD_OVERLAP=0, STRATA_IO_PREFETCH=0, STRATA_IO_PF_GATE=0 +strata generate: GPU host-callback thread started before host-core pinning +strata generate: CPU pool tasks/phase: 99 (automatic), participating threads: 33 +strata generate: CPU pool: 32 workers by default (64 physical cores, 128 logical processors; bounded by the measured cap) +strata generate: 32 pool workers on logical processors 1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32, the host thread on 0 (draining too) (--host-core first) +strata generate: CPU workers on logical processors 1-32 (32 workers, one per physical core; host on 0) +strata aux cpus: threads that are neither pool workers nor the host go to CPUs 65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127 (on; 18 threads placed so far) +strata: prompt MMQ reads resident experts in place (STRATA_MMQ_DIRECT=1): 48 of 48 layers +strata: prompt MMQ sorts the full expert groups (STRATA_MMQ_GROUP_SORT=1): 48 of 48 layers +strata generate: expert cache auto: 16.84 GiB free, 700 MiB reserved (+0 MiB for the draft head, +256 MiB for what is allocated after the cache) -> 4905 slots +strata generate: +256 B guard per sized slot (STRATA_MMQ_DIRECT) +strata generate: expert cache 6144 slots, 14.27 GiB of VRAM; policy is +strata generate: the GPU computes the experts in the cache; it rounds differently from the CPU, + so a reply can differ slightly from a run without the cache (same quality: + bench/results/2026-09-27-cache-parity). + PROFILE, ranked by routing frequency, no eviction. +strata generate: the profile fill asks for 256 pairs ahead (STRATA_FILL_AHEAD) +strata generate: pre-filled 6144 of 6144 slots from the profile in 4.5 s (3400 MB/s); slot 0 verified +strata generate: layer split, CUDA1: 17.01 GiB free of 23.56, room for experts 15.98 GiB +strata generate: layer split: CUDA1 runs layers 12-24, expert cache 6656 slots (14.44 GiB), 6656 of its 6656 profiled pairs; slot 0 verified +strata generate: layer split, CUDA2: 17.17 GiB free of 23.56, room for experts 16.14 GiB +strata generate: layer split: CUDA2 runs layers 25-36, expert cache 6144 slots (13.72 GiB), 6144 of its 6144 profiled pairs; slot 0 verified +strata generate: layer split, CUDA3: 15.98 GiB free of 23.56, room for experts 14.96 GiB +strata generate: layer split: CUDA3 runs layers 37-47, expert cache 5632 slots (13.00 GiB), 5632 of its 5632 profiled pairs; slot 0 verified +strata generate: layer split: CUDA0 runs layers 0-11 +strata generate: every expert is in the GPU caches (24576 of 24576): the file tier's Linux defaults (io prefetch, the decode gate) are off, the decode reads nothing from it (STRATA_IO_PREFETCH=1 keeps them) +strata generate: routing-aware prefetch off (every expert is in the GPU caches; STRATA_LOOKAHEAD=1 runs it) +strata generate: R4 hit path ON - resident experts are computed on the GPU +strata generate: 32 expert-pool workers + the host thread +strata generate: session is up (engine 0.1.58) +strata generate: token graph hit path: 24576 resident experts, decided on the device +strata serve: layer split: 100% of the experts resident, the prompt path's streamed ring 96 slots +FileExpertSource: copied cache complement through layer 8/48 (0.00 GiB, 0 s) +FileExpertSource: copied cache complement through layer 16/48 (0.00 GiB, 0 s) +FileExpertSource: copied cache complement through layer 24/48 (0.00 GiB, 0 s) +FileExpertSource: copied cache complement through layer 32/48 (0.00 GiB, 0 s) +FileExpertSource: copied cache complement through layer 40/48 (0.00 GiB, 0 s) +FileExpertSource: copied cache complement through layer 48/48 (0.00 GiB, 0 s) +FileExpertSource: locked resident cache complement ready: resident 0.00 GiB, pinned 0.00 GiB in 0 s +FileExpertSource: 18432 verified additional-GPU experts remain on the mmap fallback +strata generate: resident RAM mode: 0.00 GiB of experts in RAM (pageable), 6144 in the GPU cache; adaptive swaps exchange them with the GPU cache (no file reads) +strata serve: CUDA0 keeps its own prompt buffers (0.75 GiB of 2.57 GiB free): no loan +strata serve: CUDA1 keeps its own prompt buffers (0.75 GiB of 2.56 GiB free): no loan +strata serve: CUDA2 keeps its own prompt buffers (0.75 GiB of 3.44 GiB free): no loan +strata serve: CUDA3 keeps its own prompt buffers (0.75 GiB of 2.98 GiB free): no loan +strata serve: the prompt path allocates its own buffers (too few cache slots to borrow) +prefill: the GGUF experts are 100% in the page cache; the stager takes the RAM profile +prefill: the GGUF experts are 100% in the page cache; the stager takes the RAM profile +prefill: the GGUF experts are 100% in the page cache; the stager takes the RAM profile +prefill: the GGUF experts are 100% in the page cache; the stager takes the RAM profile +strata hc: CUDA1: the hyper-connection read runs as staged (the norm per token and stream, the down projection's activations staged ahead by cp.async); checked bit for bit against the plain read on this card (STRATA_HC_SPLIT=1 or 0 for the earlier ones) +strata verify: window up to 8 tokens, 100.1 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata hc: CUDA2: the hyper-connection read runs as staged (the norm per token and stream, the down projection's activations staged ahead by cp.async); checked bit for bit against the plain read on this card (STRATA_HC_SPLIT=1 or 0 for the earlier ones) +strata verify: window up to 8 tokens, 100.1 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata hc: CUDA3: the hyper-connection read runs as staged (the norm per token and stream, the down projection's activations staged ahead by cp.async); checked bit for bit against the plain read on this card (STRATA_HC_SPLIT=1 or 0 for the earlier ones) +strata verify: window up to 8 tokens, 100.1 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata serve: layer split: layers 0-11 (CUDA0), 12-24 (CUDA1), 25-36 (CUDA2), 37-47 (CUDA3), one hand-off per window +strata hc: CUDA0: the hyper-connection read runs as staged (the norm per token and stream, the down projection's activations staged ahead by cp.async); checked bit for bit against the plain read on this card (STRATA_HC_SPLIT=1 or 0 for the earlier ones) +strata verify: window up to 8 tokens, 100.1 MiB of device buffers (100% VRAM resident: zero-doorbell graph) +strata mtp: draft head over 106299 tokens (212.9 MiB) +strata verify: batch windows of up to 16 sequences (layers [0, 12)), one-row windows keep their rows +strata verify: batch windows of up to 16 sequences (layers [12, 25)), one-row windows keep their rows +strata verify: batch windows of up to 16 sequences (layers [25, 37)), one-row windows keep their rows +strata verify: batch windows of up to 16 sequences (layers [37, 48)), one-row windows keep their rows +strata serve: PCIe share: start 0.10 from 32 pool workers (assumed 65 GB/s of expert bytes) and the 13.0 GB/s link (was 0.36) +strata serve: adaptive overlap: off: not on a layer split +strata serve: 1565 MiB of VRAM free with everything loaded +strata serve: CUDA1: 1561 MiB of VRAM free with everything loaded +strata serve: CUDA2: 2461 MiB of VRAM free with everything loaded +strata serve: CUDA3: 1769 MiB of VRAM free with everything loaded +strata prefill: QSA layers: norm + rope in one pass on, attention gate in the attention epilogue off +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: draft layer prompt K/V batched on CUDA3 (E-9 on the layer split, K/V mode 2) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata verify: capturing the 4-token window (1527 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 3.5 ms +strata verify: capturing the 4-token window (1523 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 2.6 ms +strata verify: capturing the 4-token window (2423 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 2.6 ms +strata verify: capturing the 4-token window (1723 MiB of VRAM free) +strata verify: captured the 4-token window (upload no error, sync no error) in 2.5 ms +strata verify: capturing the 1-token window (1521 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 3.6 ms +strata verify: capturing the 1-token window (1517 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 3.1 ms +strata verify: capturing the 1-token window (2417 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 2.8 ms +strata verify: capturing the 1-token window (1717 MiB of VRAM free) +strata verify: captured the 1-token window (upload no error, sync no error) in 2.6 ms +strata verify: capturing the 3-token window (1515 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 3.5 ms +strata verify: capturing the 3-token window (1509 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 2.6 ms +strata verify: capturing the 3-token window (2411 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 2.5 ms +strata verify: capturing the 3-token window (1709 MiB of VRAM free) +strata verify: captured the 3-token window (upload no error, sync no error) in 2.4 ms +strata verify: capturing the 2-token window (1509 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 3.0 ms +strata verify: capturing the 2-token window (1505 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 3.1 ms +strata verify: capturing the 2-token window (2405 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 2.6 ms +strata verify: capturing the 2-token window (1701 MiB of VRAM free) +strata verify: captured the 2-token window (upload no error, sync no error) in 2.7 ms +strata serve: prompt 75 tokens = 0 reused + 75 read in 497 ms (150.8 tok/s), 128 generated in 1035 ms (123.6 tok/s), drafts accepted 71 of 113, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 59529.9 MB of expert reads +strata serve: KV streaming: 99.17% of 18492 block reads hit VRAM, 0.6 MiB read from RAM +strata serve: suffix drafts: 5 windows, 14 of 14 drafts accepted +strata serve: conversation cache: skip parking (203 tokens, below the 1024 minimum; parked=0) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: prompt 77 tokens = 0 reused + 77 read in 133 ms (580.3 tok/s), 356 generated in 2752 ms (129.4 tok/s), drafts accepted 196 of 303, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 99.63% of 88380 block reads hit VRAM, 1.3 MiB read from RAM +strata serve: suffix drafts: 6 windows, 15 of 18 drafts accepted +strata serve: conversation cache: skip parking (433 tokens, below the 1024 minimum; parked=0) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 21 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata verify: capturing the 6-token window (1491 MiB of VRAM free) +strata verify: captured the 6-token window (upload no error, sync no error) in 4.4 ms +strata verify: capturing the 6-token window (1477 MiB of VRAM free) +strata verify: captured the 6-token window (upload no error, sync no error) in 3.0 ms +strata verify: capturing the 6-token window (2379 MiB of VRAM free) +strata verify: captured the 6-token window (upload no error, sync no error) in 3.2 ms +strata verify: capturing the 6-token window (1689 MiB of VRAM free) +strata verify: captured the 6-token window (upload no error, sync no error) in 2.6 ms +strata serve: prompt 4093 tokens = 0 reused + 4093 read in 825 ms (4960.8 tok/s), 512 generated in 3622 ms (141.4 tok/s), drafts accepted 312 of 437, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 99.65% of 989007 block reads hit VRAM, 13.9 MiB read from RAM +strata serve: suffix drafts: 24 windows, 62 of 78 drafts accepted +strata serve: conversation cache: parked 4605 tokens in 153.3 ms; parked=1 bytes=308819456 evictions=0 snapshot_bytes=308819456 reused_kv_bytes=0 +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 93 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata serve: prompt 16387 tokens = 0 reused + 16387 read in 2830 ms (5790.4 tok/s), 489 generated in 3973 ms (123.1 tok/s), drafts accepted 263 of 416, 2 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 98.80% of 999786 block reads hit VRAM, 48.2 MiB read from RAM +strata serve: suffix drafts: 14 windows, 23 of 42 drafts accepted +strata serve: conversation cache: parked 16878 tokens in 300.9 ms; parked=2 bytes=924652992 evictions=0 snapshot_bytes=615833536 reused_kv_bytes=0 +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: prompt 77 tokens = 0 reused + 77 read in 434 ms (177.4 tok/s), 419 generated in 3078 ms (136.1 tok/s), drafts accepted 252 of 385, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 99.69% of 120384 block reads hit VRAM, 1.5 MiB read from RAM +strata serve: conversation cache: skip parking (498 tokens, below the 1024 minimum; parked=2) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 21 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata serve: prompt 4093 tokens = 0 reused + 4093 read in 817 ms (5009.1 tok/s), 512 generated in 3977 ms (128.7 tok/s), drafts accepted 281 of 416, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 99.66% of 1007481 block reads hit VRAM, 13.9 MiB read from RAM +strata serve: suffix drafts: 8 windows, 11 of 26 drafts accepted +strata serve: conversation cache: parked 4607 tokens in 153.7 ms; parked=3 bytes=1233472480 evictions=0 snapshot_bytes=308819488 reused_kv_bytes=0 +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 93 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata serve: prompt 16387 tokens = 0 reused + 16387 read in 2838 ms (5773.9 tok/s), 512 generated in 4360 ms (117.4 tok/s), drafts accepted 239 of 354, 2 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 98.76% of 973587 block reads hit VRAM, 48.8 MiB read from RAM +strata serve: suffix drafts: 5 windows, 11 of 15 drafts accepted +strata serve: conversation cache: parked 16899 tokens in 300.8 ms; parked=4 bytes=1849611632 evictions=0 snapshot_bytes=616139152 reused_kv_bytes=0 +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: prompt 77 tokens = 0 reused + 77 read in 434 ms (177.6 tok/s), 308 generated in 2254 ms (136.7 tok/s), drafts accepted 183 of 283, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 99.59% of 70788 block reads hit VRAM, 1.2 MiB read from RAM +strata serve: suffix drafts: 1 windows, 1 of 3 drafts accepted +strata serve: conversation cache: skip parking (384 tokens, below the 1024 minimum; parked=4) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 21 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata serve: prompt 4093 tokens = 0 reused + 4093 read in 819 ms (4997.6 tok/s), 512 generated in 3698 ms (138.4 tok/s), drafts accepted 303 of 417, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 99.65% of 975123 block reads hit VRAM, 13.9 MiB read from RAM +strata serve: suffix drafts: 4 windows, 8 of 12 drafts accepted +strata serve: conversation cache: parked 4607 tokens in 153.9 ms; parked=5 bytes=2158431120 evictions=0 snapshot_bytes=308819488 reused_kv_bytes=0 +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 93 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata serve: prompt 16387 tokens = 0 reused + 16387 read in 2842 ms (5765.3 tok/s), 512 generated in 4376 ms (117.0 tok/s), drafts accepted 241 of 373, 2 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 98.78% of 998223 block reads hit VRAM, 49.1 MiB read from RAM +strata serve: suffix drafts: 7 windows, 12 of 21 drafts accepted +strata serve: conversation cache: parked 16898 tokens in 301.1 ms; parked=6 bytes=2774570256 evictions=0 snapshot_bytes=616139136 reused_kv_bytes=0 +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: prompt 82 tokens = 0 reused + 82 read in 437 ms (187.5 tok/s), 72 generated in 506 ms (142.4 tok/s), drafts accepted 47 of 68, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 98.68% of 8856 block reads hit VRAM, 0.5 MiB read from RAM +strata serve: suffix drafts: 1 windows, 1 of 5 drafts accepted +strata serve: conversation cache: skip parking (155 tokens, below the 1024 minimum; parked=6) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: prompt 90 tokens = 0 reused + 90 read in 140 ms (642.3 tok/s), 60 generated in 407 ms (147.4 tok/s), drafts accepted 42 of 59, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 98.51% of 7656 block reads hit VRAM, 0.5 MiB read from RAM +strata serve: conversation cache: skip parking (152 tokens, below the 1024 minimum; parked=6) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: prompt 85 tokens = 0 reused + 85 read in 139 ms (611.7 tok/s), 86 generated in 470 ms (182.9 tok/s), drafts accepted 63 of 69, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 98.61% of 9267 block reads hit VRAM, 0.5 MiB read from RAM +strata serve: conversation cache: skip parking (171 tokens, below the 1024 minimum; parked=6) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: prompt 71 tokens = 0 reused + 71 read in 128 ms (555.8 tok/s), 24 generated in 151 ms (158.7 tok/s), drafts accepted 19 of 21, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 96.35% of 2055 block reads hit VRAM, 0.3 MiB read from RAM +strata serve: conversation cache: skip parking (97 tokens, below the 1024 minimum; parked=6) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 21 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata serve: prompt 4089 tokens = 0 reused + 4089 read in 818 ms (4999.9 tok/s), 66 generated in 443 ms (148.9 tok/s), drafts accepted 42 of 57, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 97.80% of 132483 block reads hit VRAM, 11.8 MiB read from RAM +strata serve: conversation cache: parked 4155 tokens in 150.7 ms; parked=7 bytes=3076483120 evictions=0 snapshot_bytes=301912864 reused_kv_bytes=0 +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 21 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata serve: prompt 4089 tokens = 0 reused + 4089 read in 967 ms (4227.7 tok/s), 66 generated in 413 ms (159.9 tok/s), drafts accepted 45 of 55, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 97.62% of 126324 block reads hit VRAM, 12.1 MiB read from RAM +strata serve: conversation cache: parked 4156 tokens in 149.9 ms; parked=8 bytes=3378402144 evictions=0 snapshot_bytes=301919024 reused_kv_bytes=0 +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 93 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata serve: prompt 16382 tokens = 0 reused + 16382 read in 2852 ms (5744.6 tok/s), 51 generated in 332 ms (153.7 tok/s), drafts accepted 34 of 38, 2 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 92.51% of 93969 block reads hit VRAM, 28.4 MiB read from RAM +strata serve: conversation cache: parked 16434 tokens in 296.9 ms; parked=9 bytes=3987451280 evictions=0 snapshot_bytes=609049136 reused_kv_bytes=0 +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 96 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata KV prefetch: 3 layer prefixes, single existing staging pool +strata serve: prompt 16390 tokens = 0 reused + 16390 read in 3065 ms (5348.1 tok/s), 160 generated in 969 ms (165.1 tok/s), drafts accepted 108 of 124, 3 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 96.91% of 278829 block reads hit VRAM, 34.7 MiB read from RAM +strata serve: conversation cache: parked 16550 tokens in 352.6 ms; parked=10 bytes=4717705296 evictions=0 snapshot_bytes=730254016 reused_kv_bytes=0 +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: prompt 325 tokens = 0 reused + 325 read in 624 ms (520.8 tok/s), 64 generated in 385 ms (166.4 tok/s), drafts accepted 46 of 57, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 98.64% of 21651 block reads hit VRAM, 1.2 MiB read from RAM +strata serve: conversation cache: skip parking (390 tokens, below the 1024 minimum; parked=10) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: prompt 335 tokens = 0 reused + 335 read in 271 ms (1236.3 tok/s), 63 generated in 362 ms (173.8 tok/s), drafts accepted 46 of 51, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 98.52% of 20268 block reads hit VRAM, 1.2 MiB read from RAM +strata serve: conversation cache: skip parking (399 tokens, below the 1024 minimum; parked=10) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: prompt 352 tokens = 0 reused + 352 read in 270 ms (1303.3 tok/s), 73 generated in 391 ms (186.8 tok/s), drafts accepted 53 of 57, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 98.65% of 23529 block reads hit VRAM, 1.3 MiB read from RAM +strata serve: conversation cache: skip parking (424 tokens, below the 1024 minimum; parked=10) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: prompt 339 tokens = 0 reused + 339 read in 270 ms (1256.7 tok/s), 67 generated in 382 ms (175.2 tok/s), drafts accepted 49 of 54, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 98.59% of 21741 block reads hit VRAM, 1.2 MiB read from RAM +strata serve: conversation cache: skip parking (407 tokens, below the 1024 minimum; parked=10) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: prompt 78 tokens = 0 reused + 78 read in 131 ms (597.1 tok/s), 1 generated in 13 ms (79.4 tok/s), drafts accepted 0 of 0, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 79.38% of 291 block reads hit VRAM, 0.2 MiB read from RAM +strata batch: slot 0 takes 79 tokens (copied in 8.8 ms) +strata serve: prompt 79 tokens = 78 reused + 1 read in 0 ms (2811.4 tok/s), 1 generated in 11 ms (90.3 tok/s), drafts accepted 0 of 0, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 82.91% of 351 block reads hit VRAM, 0.2 MiB read from RAM +strata verify: captured the batch window over slots 0 +strata verify: captured the batch window over slots 0 +strata verify: captured the batch window over slots 0 +strata verify: captured the batch window over slots 0 +strata serve: conversation cache: skip parking (79 tokens, below the 1024 minimum; parked=10) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata verify: capturing the 5-token window (1483 MiB of VRAM free) +strata verify: captured the 5-token window (upload no error, sync no error) in 3.7 ms +strata verify: capturing the 5-token window (1465 MiB of VRAM free) +strata verify: captured the 5-token window (upload no error, sync no error) in 3.2 ms +strata verify: capturing the 5-token window (2367 MiB of VRAM free) +strata verify: captured the 5-token window (upload no error, sync no error) in 2.6 ms +strata verify: capturing the 5-token window (1677 MiB of VRAM free) +strata verify: captured the 5-token window (upload no error, sync no error) in 2.7 ms +strata batch: slot 4 takes 78 tokens (copied in 0.9 ms) +strata serve: prompt 78 tokens = 0 reused + 78 read in 112 ms (694.3 tok/s), 1 generated in 33 ms (30.3 tok/s), drafts accepted 0 of 0, 0 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 79.38% of 291 block reads hit VRAM, 0.2 MiB read from RAM +strata verify: captured the batch window over slots 4 +strata verify: captured the batch window over slots 4 +strata verify: captured the batch window over slots 4 +strata verify: captured the batch window over slots 4 +strata serve: conversation cache: skip parking (78 tokens, below the 1024 minimum; parked=10) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata batch: slot 8 takes 78 tokens (copied in 0.9 ms) +strata serve: prompt 78 tokens = 0 reused + 78 read in 112 ms (698.6 tok/s), 1 generated in 21 ms (48.2 tok/s), drafts accepted 0 of 0, 0 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 79.38% of 291 block reads hit VRAM, 0.2 MiB read from RAM +strata verify: captured the batch window over slots 8 +strata verify: captured the batch window over slots 8 +strata verify: captured the batch window over slots 8 +strata verify: captured the batch window over slots 8 +strata serve: conversation cache: skip parking (78 tokens, below the 1024 minimum; parked=10) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata batch: slot 12 takes 78 tokens (copied in 0.9 ms) +strata serve: prompt 78 tokens = 0 reused + 78 read in 112 ms (694.4 tok/s), 1 generated in 20 ms (50.6 tok/s), drafts accepted 0 of 0, 0 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 79.38% of 291 block reads hit VRAM, 0.2 MiB read from RAM +strata verify: captured the batch window over slots 12 +strata verify: captured the batch window over slots 12 +strata verify: captured the batch window over slots 12 +strata verify: captured the batch window over slots 12 +strata batch (pipelined, 4 groups of 4): 1958 group-steps, 1958 rows in 6876 ms = 284.7 rows/s (admissions included) +strata serve: conversation cache: skip parking (78 tokens, below the 1024 minimum; parked=10) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: prompt 78 tokens = 0 reused + 78 read in 141 ms (553.9 tok/s), 1 generated in 13 ms (77.1 tok/s), drafts accepted 0 of 0, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 79.38% of 291 block reads hit VRAM, 0.2 MiB read from RAM +strata serve: conversation cache: slot 0 not parked before its overwrite (its 589 tokens have no per-slot draft K/V without --batch-mtp) +strata batch: slot 0 takes 79 tokens (copied in 8.5 ms) +strata serve: prompt 79 tokens = 78 reused + 1 read in 0 ms (2877.5 tok/s), 1 generated in 11 ms (91.6 tok/s), drafts accepted 0 of 0, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 82.91% of 351 block reads hit VRAM, 0.2 MiB read from RAM +strata serve: conversation cache: skip parking (79 tokens, below the 1024 minimum; parked=10) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: conversation cache: slot 4 not parked before its overwrite (its 584 tokens have no per-slot draft K/V without --batch-mtp) +strata batch: slot 4 takes 78 tokens (copied in 0.9 ms) +strata serve: prompt 78 tokens = 0 reused + 78 read in 109 ms (713.2 tok/s), 1 generated in 19 ms (51.7 tok/s), drafts accepted 0 of 0, 0 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 79.38% of 291 block reads hit VRAM, 0.2 MiB read from RAM +strata serve: conversation cache: skip parking (78 tokens, below the 1024 minimum; parked=10) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: conversation cache: slot 8 not parked before its overwrite (its 509 tokens have no per-slot draft K/V without --batch-mtp) +strata batch: slot 8 takes 78 tokens (copied in 1.0 ms) +strata serve: prompt 78 tokens = 0 reused + 78 read in 109 ms (712.9 tok/s), 1 generated in 20 ms (50.3 tok/s), drafts accepted 0 of 0, 0 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 79.38% of 291 block reads hit VRAM, 0.2 MiB read from RAM +strata serve: conversation cache: skip parking (78 tokens, below the 1024 minimum; parked=10) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: conversation cache: slot 12 not parked before its overwrite (its 589 tokens have no per-slot draft K/V without --batch-mtp) +strata batch: slot 12 takes 78 tokens (copied in 1.5 ms) +strata serve: prompt 78 tokens = 0 reused + 78 read in 109 ms (718.3 tok/s), 1 generated in 20 ms (50.5 tok/s), drafts accepted 0 of 0, 0 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 79.38% of 291 block reads hit VRAM, 0.2 MiB read from RAM +strata batch (pipelined, 4 groups of 4): 1996 group-steps, 1996 rows in 6879 ms = 290.1 rows/s (admissions included) +strata serve: conversation cache: skip parking (78 tokens, below the 1024 minimum; parked=10) +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata KV prefetch: 0 layer prefixes, single existing staging pool +strata serve: prompt 78 tokens = 0 reused + 78 read in 128 ms (611.4 tok/s), 1 generated in 13 ms (77.5 tok/s), drafts accepted 0 of 0, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 79.38% of 291 block reads hit VRAM, 0.2 MiB read from RAM +strata serve: conversation cache: slot 0 not parked before its overwrite (its 575 tokens have no per-slot draft K/V without --batch-mtp) +strata batch: slot 0 takes 79 tokens (copied in 8.6 ms) +strata serve: prompt 79 tokens = 78 reused + 1 read in 0 ms (2945.0 tok/s), 1 generated in 11 ms (88.1 tok/s), drafts accepted 0 of 0, 1 checkpoints +strata serve: resident RAM: 0.00 GiB of experts in RAM, 0 exchanged with the VRAM tier, 0 blob reads from the file +strata serve: expert tiers: GPU 0 hits this request; since the start RAM 0 blobs, files 0 blobs 59529.9 MB read (the GGUF in place) +strata serve: file tier I/O this request: the OS read 0.0 MB from storage (0 major faults) for 0.0 MB of expert reads +strata serve: KV streaming: 82.91% of 351 block reads hit VRAM, 0.2 MiB read from RAM +strata serve: conversation cache: skip parking (79 tokens, below the 1024 minimum; parked=10) diff --git a/bench/results/2026-11-08-standard-4x-rtx-3090-eb4f9649/outputs.jsonl b/bench/results/2026-11-08-standard-4x-rtx-3090-eb4f9649/outputs.jsonl new file mode 100644 index 00000000000..51eb1b7140f --- /dev/null +++ b/bench/results/2026-11-08-standard-4x-rtx-3090-eb4f9649/outputs.jsonl @@ -0,0 +1,34 @@ +{"request_id": "warmup", "phase": "warmup", "case_id": "warmup", "request": {"stream": true, "stream_options": {"include_usage": true}, "max_tokens": 128, "seed": 1, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}}, "messages": [{"role": "user", "content": "[case warmup]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table finds a value by using a hash function to convert the key into an index.\n\n1. Compute a hash from the key:", "reasoning": "We need to respond to user: \"[case warmup]\nExplain how a hash table finds a value, including collisions and one small example.\"\n\nWe need to produce final answer. Need likely concise explanation. Include case warmup? Maybe they expect answer only. We can provide explanation. Need maybe handle \"case warmup\" perhaps means warm-up case? Just explain. Ensure include finding value, hash function, bucket, collisions (chaining/open addressing), small example.\n", "tool_calls": [], "finish_reason": "length", "usage": {"prompt_tokens": 75, "completion_tokens": 128, "total_tokens": 203, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 75, "prompt_ms": 497.2, "prompt_per_token_ms": 6.629, "prompt_per_second": 150.8, "predicted_n": 128, "predicted_ms": 1035.3, "predicted_per_token_ms": 8.088, "predicted_per_second": 123.6, "draft_n": 113, "draft_n_accepted": 71}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 1.53794, "first_delta": {"offset_s": 0.526276, "kind": "reasoning"}, "first_answer_offset_s": 1.352654, "client_events": [[0.526276, "reasoning"], [0.546558, "reasoning"], [0.546588, "reasoning"], [0.566047, "reasoning"], [0.566068, "reasoning"], [0.566115, "reasoning"], [0.56617, "reasoning"], [0.586165, "reasoning"], [0.586215, "reasoning"], [0.586249, "reasoning"], [0.586292, "reasoning"], [0.614924, "reasoning"], [0.614966, "reasoning"], [0.615007, "reasoning"], [0.635244, "reasoning"], [0.635269, "reasoning"], [0.635298, "reasoning"], [0.635336, "reasoning"], [0.655065, "reasoning"], [0.65509, "reasoning"], [0.655108, "reasoning"], [0.655162, "reasoning"], [0.675904, "reasoning"], [0.675929, "reasoning"], [0.675966, "reasoning"], [0.675999, "reasoning"], [0.695671, "reasoning"], [0.695697, "reasoning"], [0.695725, "reasoning"], [0.695762, "reasoning"], [0.707895, "reasoning"], [0.734493, "reasoning"], [0.749097, "reasoning"], [0.749128, "reasoning"], [0.760788, "reasoning"], [0.778308, "reasoning"], [0.778333, "reasoning"], [0.778361, "reasoning"], [0.798305, "reasoning"], [0.79833, "reasoning"], [0.798365, "reasoning"], [0.7984, "reasoning"], [0.81604, "reasoning"], [0.816065, "reasoning"], [0.835723, "reasoning"], [0.847325, "reasoning"], [0.864871, "reasoning"], [0.864897, "reasoning"], [0.879701, "reasoning"], [0.879726, "reasoning"], [0.899664, "reasoning"], [0.911268, "reasoning"], [0.923415, "reasoning"], [0.941183, "reasoning"], [0.94122, "reasoning"], [0.955889, "reasoning"], [0.971216, "reasoning"], [0.991718, "reasoning"], [0.991743, "reasoning"], [0.99176, "reasoning"], [0.991806, "reasoning"], [1.012032, "reasoning"], [1.024046, "reasoning"], [1.044041, "reasoning"], [1.044067, "reasoning"], [1.044084, "reasoning"], [1.044124, "reasoning"], [1.059169, "reasoning"], [1.070749, "reasoning"], [1.09156, "reasoning"], [1.10627, "reasoning"], [1.106295, "reasoning"], [1.12434, "reasoning"], [1.136042, "reasoning"], [1.147721, "reasoning"], [1.167344, "reasoning"], [1.16737, "reasoning"], [1.178972, "reasoning"], [1.198812, "reasoning"], [1.218358, "reasoning"], [1.218384, "reasoning"], [1.218402, "reasoning"], [1.237974, "reasoning"], [1.257933, "reasoning"], [1.257959, "reasoning"], [1.277598, "reasoning"], [1.277623, "reasoning"], [1.277651, "reasoning"], [1.297734, "reasoning"], [1.297759, "reasoning"], [1.297791, "reasoning"], [1.315565, "reasoning"], [1.315591, "reasoning"], [1.315625, "reasoning"], [1.333427, "reasoning"], [1.333453, "reasoning"], [1.333482, "reasoning"], [1.352654, "answer"], [1.35268, "answer"], [1.37226, "answer"], [1.372285, "answer"], [1.372303, "answer"], [1.372342, "answer"], [1.387801, "answer"], [1.387826, "answer"], [1.402836, "answer"], [1.402861, "answer"], [1.420625, "answer"], [1.42065, "answer"], [1.420682, "answer"], [1.440642, "answer"], [1.440667, "answer"], [1.440695, "answer"], [1.440732, "answer"], [1.461086, "answer"], [1.461112, "answer"], [1.480836, "answer"], [1.480862, "answer"], [1.480898, "answer"], [1.498457, "answer"], [1.517569, "answer"], [1.517595, "answer"], [1.537605, "answer"], [1.53763, "answer"], [1.53765, "answer"]]} +{"request_id": "performance-short-r1", "phase": "performance", "case_id": "short", "request": {"stream": true, "stream_options": {"include_usage": true}, "max_tokens": 512, "seed": 1, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}}, "messages": [{"role": "user", "content": "[case performance-short-r1]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table stores **key–value pairs**. To find a value, it uses the key to compute a location:\n\n1. Hash the key to get a number.\n2. Use that number to find a bucket/index.\n3. Check that bucket for a matching key.\n4. If the key matches, return its value.\n\nA **collision** happens when two different keys hash to the same index. Hash tables handle this with techniques like:\n\n- **Separate chaining:** each bucket holds a list of entries.\n- **Open addressing:** if the slot is taken, probe nearby slots.\n\nSmall example, with chaining:\n\n```text\nindex 0:\nindex 1: (\"apple\", 5) -> (\"orange\", 8)\nindex 2:\n```\n\nFind `\"orange\"`:\n\n- `hash(\"orange\")` maps to index 1.\n- Look at index 1.\n- Check `\"apple\"`: no match.\n- Check `\"orange\"`: match.\n- Return `8`.", "reasoning": "We need answer user: \"Explain how a hash table finds a value, including collisions and one small example. We need provide final answer. User likely wants concise explanation. Need include hash table finds value: key -> hash function -> index -> bucket; if exact key found return value; collisions same index: separate chaining or open addressing; example. Need maybe \"case performance-short-r1\" perhaps some benchmark? Keep short? The case name says performance-short-r1 maybe expected short answer. But desired oververbosity 9? Hmm user asks explain including collisions and example. Keep reasonably concise. Could provide bullets and example. No need elaborate too much. Ensure clear.\n", "tool_calls": [], "finish_reason": "stop", "usage": {"prompt_tokens": 77, "completion_tokens": 356, "total_tokens": 433, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 77, "prompt_ms": 132.7, "prompt_per_token_ms": 1.723, "prompt_per_second": 580.3, "predicted_n": 356, "predicted_ms": 2752.0, "predicted_per_token_ms": 7.73, "predicted_per_second": 129.4, "draft_n": 303, "draft_n_accepted": 196}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 2.889012, "first_delta": {"offset_s": 0.148048, "kind": "reasoning"}, "first_answer_offset_s": 1.347138, "client_events": [[0.148048, "reasoning"], [0.167451, "reasoning"], [0.16747, "reasoning"], [0.167512, "reasoning"], [0.16755, "reasoning"], [0.187856, "reasoning"], [0.187877, "reasoning"], [0.187923, "reasoning"], [0.187976, "reasoning"], [0.208175, "reasoning"], [0.208194, "reasoning"], [0.208236, "reasoning"], [0.208282, "reasoning"], [0.227977, 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theta.\nrecord000002: alpha beta gamma delta epsilon zeta eta theta.\nrecord000003: alpha beta gamma delta epsilon zeta eta theta.\nrecord000004: alpha beta gamma delta epsilon zeta eta theta.\nrecord000005: alpha beta gamma delta epsilon zeta eta theta.\nrecord000006: alpha beta gamma delta epsilon zeta eta theta.\nrecord000007: alpha beta gamma delta epsilon zeta eta theta.\nrecord000008: alpha beta gamma delta epsilon zeta eta theta.\nrecord000009: alpha beta gamma delta epsilon zeta eta theta.\nrecord000010: alpha beta gamma delta epsilon zeta eta theta.\nrecord000011: alpha beta gamma delta epsilon zeta eta theta.\nrecord000012: alpha beta gamma delta epsilon zeta eta theta.\nrecord000013: alpha beta gamma delta epsilon zeta eta theta.\nrecord000014: alpha beta gamma delta epsilon zeta eta theta.\nrecord000015: alpha beta gamma delta epsilon zeta eta theta.\nrecord000016: alpha beta gamma delta epsilon zeta eta theta.\nrecord000017: alpha beta gamma delta epsilon zeta eta 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theta.\nrecord000050: alpha beta gamma delta epsilon zeta eta theta.\nrecord000051: alpha beta gamma delta epsilon zeta eta theta.\nrecord000052: alpha beta gamma delta epsilon zeta eta theta.\nrecord000053: alpha beta gamma delta epsilon zeta eta theta.\nrecord000054: alpha beta gamma delta epsilon zeta eta theta.\nrecord000055: alpha beta gamma delta epsilon zeta eta theta.\nrecord000056: alpha beta gamma delta epsilon zeta eta theta.\nrecord000057: alpha beta gamma delta epsilon zeta eta theta.\nrecord000058: alpha beta gamma delta epsilon zeta eta theta.\nrecord000059: alpha beta gamma delta epsilon zeta eta theta.\nrecord000060: alpha beta gamma delta epsilon zeta eta theta.\nrecord000061: alpha beta gamma delta epsilon zeta eta theta.\nrecord000062: alpha beta gamma delta epsilon zeta eta theta.\nrecord000063: alpha beta gamma delta epsilon zeta eta theta.\nrecord000064: alpha beta gamma delta epsilon zeta eta theta.\nrecord000065: alpha beta gamma delta epsilon zeta eta theta.\nrecord000066: alpha beta gamma delta epsilon zeta eta theta.\nrecord000067: alpha beta gamma delta epsilon zeta eta theta.\nrecord000068: alpha beta gamma delta epsilon zeta eta theta.\nrecord000069: alpha beta gamma delta epsilon zeta eta theta.\nrecord000070: alpha beta gamma delta epsilon zeta eta theta.\nrecord000071: alpha beta gamma delta epsilon zeta eta theta.\nrecord000072: alpha beta gamma delta epsilon zeta eta theta.\nrecord000073: alpha beta gamma delta epsilon zeta eta theta.\nrecord000074: alpha beta gamma delta epsilon zeta eta theta.\nrecord000075: alpha beta gamma delta epsilon zeta eta theta.\nrecord000076: alpha beta gamma delta epsilon zeta eta theta.\nrecord000077: alpha beta gamma delta epsilon zeta eta theta.\nrecord000078: alpha beta gamma delta epsilon zeta eta theta.\nrecord000079: alpha beta gamma delta epsilon zeta eta theta.\nrecord000080: alpha beta gamma delta epsilon zeta eta theta.\nrecord000081: alpha beta gamma delta epsilon zeta eta theta.\nrecord000082: alpha beta gamma delta epsilon zeta eta theta.\nrecord000083: alpha beta gamma delta epsilon zeta eta theta.\nrecord000084: alpha beta gamma delta epsilon zeta eta theta.\nrecord000085: alpha beta gamma delta epsilon zeta eta theta.\nrecord000086: alpha beta gamma delta epsilon zeta eta theta.\nrecord000087: alpha beta gamma delta epsilon zeta eta theta.\nrecord000088: alpha beta gamma delta epsilon zeta eta theta.\nrecord000089: alpha beta gamma delta epsilon zeta eta theta.\nrecord000090: alpha beta gamma delta epsilon zeta eta theta.\nrecord000091: alpha beta gamma delta epsilon zeta eta theta.\nrecord000092: alpha beta gamma delta epsilon zeta eta theta.\nrecord000093: alpha beta gamma delta epsilon zeta eta theta.\nrecord000094: alpha beta gamma delta epsilon zeta eta theta.\nrecord000095: alpha beta gamma delta epsilon zeta eta theta.\nrecord000096: alpha beta gamma delta epsilon zeta eta theta.\nrecord000097: alpha beta gamma delta epsilon zeta eta 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theta.\nrecord000194: alpha beta gamma delta epsilon zeta eta theta.\nrecord000195: alpha beta gamma delta epsilon zeta eta theta.\nrecord000196: alpha beta gamma delta epsilon zeta eta theta.\nrecord000197: alpha beta gamma delta epsilon zeta eta theta.\nrecord000198: alpha beta gamma delta epsilon zeta eta theta.\nrecord000199: alpha beta gamma delta epsilon zeta eta theta.\nrecord000200: alpha beta gamma delta epsilon zeta eta theta.\nrecord000201: alpha beta gamma delta epsilon zeta eta theta.\nrecord000202: alpha beta gamma delta epsilon zeta eta theta.\nrecord000203: alpha beta gamma delta epsilon zeta eta theta.\nrecord000204: alpha beta gamma delta epsilon zeta eta theta.\nrecord000205: alpha beta gamma delta epsilon zeta eta theta.\nrecord000206: alpha beta gamma delta epsilon zeta eta theta.\nrecord000207: alpha beta gamma delta epsilon zeta eta theta.\nrecord000208: alpha beta gamma delta epsilon zeta eta theta.\nrecord000209: alpha beta gamma delta epsilon zeta eta theta.\nrecord000210: alpha beta gamma delta epsilon zeta eta theta.\nrecord000211: alpha beta gamma delta epsilon zeta eta theta.\nSummarize the structure of these records and explain how to look up a record by its ID."}], "tools": null, "final_answer": "Each record has a simple, uniform structure:\n\n```text\nrecord000001: alpha beta gamma delta epsilon zeta eta theta.\n```\n\nStructure:\n\n```text\nrecordID: fieldName1 fieldName2 fieldName3 fieldName4 fieldName5 fieldName6 fieldName7 fieldName8.\n```\n\nMore specifically:\n\n```text\nrecordNNNNNN: alpha beta gamma delta epsilon zeta eta theta.\n```\n\n- `recordNNNNNN` is the record ID.\n- The ID uses the prefix `record` followed by a six-digit, zero-padded number:\n - `record000001`\n - `record000010`\n - `record000155`\n- The colon separates the record ID from the record contents.\n- The contents are always the same eight words:\n - `alpha`\n - `beta`\n - `gamma`\n - `delta`\n - `epsilon`\n - `zeta`\n - `eta`\n - `theta`\n- Each record ends with a period.\n- The dataset contains 211 records, from `record000001` through `record000211`.\n\nExample record:\n\n```text\nrecord000155: alpha beta gamma delta epsilon zeta eta theta.\n```\n\nTo look up a record by its ID, search for the exact ID prefix at the beginning of the line, followed by a colon.\n\nFor example, to find record `record000155`, look for:\n\n```text\nrecord000155:\n```\n\nThe matching line would be:\n\n```text\nrecord000", "reasoning": "We need answer user's request. User provided many records, identical pattern, asks: \"Summarize the structure of these records and explain how to look up a record by its ID.\" Need final answer concise but detailed. Need likely mention each line has record ID format recordNNNNNN: followed by eight fields alpha...theta. IDs zero-padded six digits sequential. To look up by ID: exact match on prefix or parse before colon, e.g. record000155 returns that line; could use grep/awk. Need maybe note all records same payload, 211 records. Need perhaps include examples command. 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theta.\nrecord000674: alpha beta gamma delta epsilon zeta eta theta.\nrecord000675: alpha beta gamma delta epsilon zeta eta theta.\nrecord000676: alpha beta gamma delta epsilon zeta eta theta.\nrecord000677: alpha beta gamma delta epsilon zeta eta theta.\nrecord000678: alpha beta gamma delta epsilon zeta eta theta.\nrecord000679: alpha beta gamma delta epsilon zeta eta theta.\nrecord000680: alpha beta gamma delta epsilon zeta eta theta.\nrecord000681: alpha beta gamma delta epsilon zeta eta theta.\nrecord000682: alpha beta gamma delta epsilon zeta eta theta.\nrecord000683: alpha beta gamma delta epsilon zeta eta theta.\nrecord000684: alpha beta gamma delta epsilon zeta eta theta.\nrecord000685: alpha beta gamma delta epsilon zeta eta theta.\nrecord000686: alpha beta gamma delta epsilon zeta eta theta.\nrecord000687: alpha beta gamma delta epsilon zeta eta theta.\nrecord000688: alpha beta gamma delta epsilon zeta eta theta.\nrecord000689: alpha beta gamma delta epsilon zeta eta theta.\nrecord000690: alpha beta gamma delta epsilon zeta eta theta.\nrecord000691: alpha beta gamma delta epsilon zeta eta theta.\nrecord000692: alpha beta gamma delta epsilon zeta eta theta.\nrecord000693: alpha beta gamma delta epsilon zeta eta theta.\nrecord000694: alpha beta gamma delta epsilon zeta eta theta.\nrecord000695: alpha beta gamma delta epsilon zeta eta theta.\nrecord000696: alpha beta gamma delta epsilon zeta eta theta.\nrecord000697: alpha beta gamma delta epsilon zeta eta theta.\nrecord000698: alpha beta gamma delta epsilon zeta eta theta.\nrecord000699: alpha beta gamma delta epsilon zeta eta theta.\nrecord000700: alpha beta gamma delta epsilon zeta eta theta.\nrecord000701: alpha beta gamma delta epsilon zeta eta theta.\nrecord000702: alpha beta gamma delta epsilon zeta eta theta.\nrecord000703: alpha beta gamma delta epsilon zeta eta theta.\nrecord000704: alpha beta gamma delta epsilon zeta eta theta.\nrecord000705: alpha beta gamma delta epsilon zeta eta theta.\nrecord000706: alpha beta gamma delta epsilon zeta eta theta.\nrecord000707: alpha beta gamma delta epsilon zeta eta theta.\nrecord000708: alpha beta gamma delta epsilon zeta eta theta.\nrecord000709: alpha beta gamma delta epsilon zeta eta theta.\nrecord000710: alpha beta gamma delta epsilon zeta eta theta.\nrecord000711: alpha beta gamma delta epsilon zeta eta theta.\nrecord000712: alpha beta gamma delta epsilon zeta eta theta.\nrecord000713: alpha beta gamma delta epsilon zeta eta theta.\nrecord000714: alpha beta gamma delta epsilon zeta eta theta.\nrecord000715: alpha beta gamma delta epsilon zeta eta theta.\nrecord000716: alpha beta gamma delta epsilon zeta eta theta.\nrecord000717: alpha beta gamma delta epsilon zeta eta theta.\nrecord000718: alpha beta gamma delta epsilon zeta eta theta.\nrecord000719: alpha beta gamma delta epsilon zeta eta theta.\nrecord000720: alpha beta gamma delta epsilon zeta eta theta.\nrecord000721: alpha beta gamma delta epsilon zeta eta theta.\nrecord000722: alpha beta gamma delta epsilon zeta eta theta.\nrecord000723: alpha beta gamma delta epsilon zeta eta theta.\nrecord000724: alpha beta gamma delta epsilon zeta eta theta.\nrecord000725: alpha beta gamma delta epsilon zeta eta theta.\nrecord000726: alpha beta gamma delta epsilon zeta eta theta.\nrecord000727: alpha beta gamma delta epsilon zeta eta theta.\nrecord000728: alpha beta gamma delta epsilon zeta eta theta.\nrecord000729: alpha beta gamma delta epsilon zeta eta theta.\nrecord000730: alpha beta gamma delta epsilon zeta eta theta.\nrecord000731: alpha beta gamma delta epsilon zeta eta theta.\nrecord000732: alpha beta gamma delta epsilon zeta eta theta.\nrecord000733: alpha beta gamma delta epsilon zeta eta theta.\nrecord000734: alpha beta gamma delta epsilon zeta eta theta.\nrecord000735: alpha beta gamma delta epsilon zeta eta theta.\nrecord000736: alpha beta gamma delta epsilon zeta eta theta.\nrecord000737: alpha beta gamma delta epsilon zeta eta theta.\nrecord000738: alpha beta gamma delta epsilon zeta eta theta.\nrecord000739: alpha beta gamma delta epsilon zeta eta theta.\nrecord000740: alpha beta gamma delta epsilon zeta eta theta.\nrecord000741: alpha beta gamma delta epsilon zeta eta theta.\nrecord000742: alpha beta gamma delta epsilon zeta eta theta.\nrecord000743: alpha beta gamma delta epsilon zeta eta theta.\nrecord000744: alpha beta gamma delta epsilon zeta eta theta.\nrecord000745: alpha beta gamma delta epsilon zeta eta theta.\nrecord000746: alpha beta gamma delta epsilon zeta eta theta.\nrecord000747: alpha beta gamma delta epsilon zeta eta theta.\nrecord000748: alpha beta gamma delta epsilon zeta eta theta.\nrecord000749: alpha beta gamma delta epsilon zeta eta theta.\nrecord000750: alpha beta gamma delta epsilon zeta eta theta.\nrecord000751: alpha beta gamma delta epsilon zeta eta theta.\nrecord000752: alpha beta gamma delta epsilon zeta eta theta.\nrecord000753: alpha beta gamma delta epsilon zeta eta theta.\nrecord000754: alpha beta gamma delta epsilon zeta eta theta.\nrecord000755: alpha beta gamma delta epsilon zeta eta theta.\nrecord000756: alpha beta gamma delta epsilon zeta eta theta.\nrecord000757: alpha beta gamma delta epsilon zeta eta theta.\nrecord000758: alpha beta gamma delta epsilon zeta eta theta.\nrecord000759: alpha beta gamma delta epsilon zeta eta theta.\nrecord000760: alpha beta gamma delta epsilon zeta eta theta.\nrecord000761: alpha beta gamma delta epsilon zeta eta theta.\nrecord000762: alpha beta gamma delta epsilon zeta eta theta.\nrecord000763: alpha beta gamma delta epsilon zeta eta theta.\nrecord000764: alpha beta gamma delta epsilon zeta eta theta.\nrecord000765: alpha beta gamma delta epsilon zeta eta theta.\nrecord000766: alpha beta gamma delta epsilon zeta eta theta.\nrecord000767: alpha beta gamma delta epsilon zeta eta theta.\nrecord000768: alpha beta gamma delta epsilon zeta eta theta.\nrecord000769: alpha beta gamma delta epsilon zeta eta theta.\nrecord000770: alpha beta gamma delta epsilon zeta eta theta.\nrecord000771: alpha beta gamma delta epsilon zeta eta theta.\nrecord000772: alpha beta gamma delta epsilon zeta eta theta.\nrecord000773: alpha beta gamma delta epsilon zeta eta theta.\nrecord000774: alpha beta gamma delta epsilon zeta eta theta.\nrecord000775: alpha beta gamma delta epsilon zeta eta theta.\nrecord000776: alpha beta gamma delta epsilon zeta eta theta.\nrecord000777: alpha beta gamma delta epsilon zeta eta theta.\nrecord000778: alpha beta gamma delta epsilon zeta eta theta.\nrecord000779: alpha beta gamma delta epsilon zeta eta theta.\nrecord000780: alpha beta gamma delta epsilon zeta eta theta.\nrecord000781: alpha beta gamma delta epsilon zeta eta theta.\nrecord000782: alpha beta gamma delta epsilon zeta eta theta.\nrecord000783: alpha beta gamma delta epsilon zeta eta theta.\nrecord000784: alpha beta gamma delta epsilon zeta eta theta.\nrecord000785: alpha beta gamma delta epsilon zeta eta theta.\nrecord000786: alpha beta gamma delta epsilon zeta eta theta.\nrecord000787: alpha beta gamma delta epsilon zeta eta theta.\nrecord000788: alpha beta gamma delta epsilon zeta eta theta.\nrecord000789: alpha beta gamma delta epsilon zeta eta theta.\nrecord000790: alpha beta gamma delta epsilon zeta eta theta.\nrecord000791: alpha beta gamma delta epsilon zeta eta theta.\nrecord000792: alpha beta gamma delta epsilon zeta eta theta.\nrecord000793: alpha beta gamma delta epsilon zeta eta theta.\nrecord000794: alpha beta gamma delta epsilon zeta eta theta.\nrecord000795: alpha beta gamma delta epsilon zeta eta theta.\nrecord000796: alpha beta gamma delta epsilon zeta eta theta.\nrecord000797: alpha beta gamma delta epsilon zeta eta theta.\nrecord000798: alpha beta gamma delta epsilon zeta eta theta.\nrecord000799: alpha beta gamma delta epsilon zeta eta theta.\nrecord000800: alpha beta gamma delta epsilon zeta eta theta.\nrecord000801: alpha beta gamma delta epsilon zeta eta theta.\nrecord000802: alpha beta gamma delta epsilon zeta eta theta.\nrecord000803: alpha beta gamma delta epsilon zeta eta theta.\nrecord000804: alpha beta gamma delta epsilon zeta eta theta.\nrecord000805: alpha beta gamma delta epsilon zeta eta theta.\nrecord000806: alpha beta gamma delta epsilon zeta eta theta.\nrecord000807: alpha beta gamma delta epsilon zeta eta theta.\nrecord000808: alpha beta gamma delta epsilon zeta eta theta.\nrecord000809: alpha beta gamma delta epsilon zeta eta theta.\nrecord000810: alpha beta gamma delta epsilon zeta eta theta.\nrecord000811: alpha beta gamma delta epsilon zeta eta theta.\nrecord000812: alpha beta gamma delta epsilon zeta eta theta.\nrecord000813: alpha beta gamma delta epsilon zeta eta theta.\nrecord000814: alpha beta gamma delta epsilon zeta eta theta.\nrecord000815: alpha beta gamma delta epsilon zeta eta theta.\nrecord000816: alpha beta gamma delta epsilon zeta eta theta.\nrecord000817: alpha beta gamma delta epsilon zeta eta theta.\nrecord000818: alpha beta gamma delta epsilon zeta eta theta.\nrecord000819: alpha beta gamma delta epsilon zeta eta theta.\nrecord000820: alpha beta gamma delta epsilon zeta eta theta.\nrecord000821: alpha beta gamma delta epsilon zeta eta theta.\nrecord000822: alpha beta gamma delta epsilon zeta eta theta.\nrecord000823: alpha beta gamma delta epsilon zeta eta theta.\nrecord000824: alpha beta gamma delta epsilon zeta eta theta.\nrecord000825: alpha beta gamma delta epsilon zeta eta theta.\nrecord000826: alpha beta gamma delta epsilon zeta eta theta.\nrecord000827: alpha beta gamma delta epsilon zeta eta theta.\nrecord000828: alpha beta gamma delta epsilon zeta eta theta.\nrecord000829: alpha beta gamma delta epsilon zeta eta theta.\nrecord000830: alpha beta gamma delta epsilon zeta eta theta.\nrecord000831: alpha beta gamma delta epsilon zeta eta theta.\nrecord000832: alpha beta gamma delta epsilon zeta eta theta.\nrecord000833: alpha beta gamma delta epsilon zeta eta theta.\nrecord000834: alpha beta gamma delta epsilon zeta eta theta.\nrecord000835: alpha beta gamma delta epsilon zeta eta theta.\nrecord000836: alpha beta gamma delta epsilon zeta eta theta.\nrecord000837: alpha beta gamma delta epsilon zeta eta theta.\nrecord000838: alpha beta gamma delta epsilon zeta eta theta.\nrecord000839: alpha beta gamma delta epsilon zeta eta theta.\nrecord000840: alpha beta gamma delta epsilon zeta eta theta.\nrecord000841: alpha beta gamma delta epsilon zeta eta theta.\nrecord000842: alpha beta gamma delta epsilon zeta eta theta.\nrecord000843: alpha beta gamma delta epsilon zeta eta theta.\nrecord000844: alpha beta gamma delta epsilon zeta eta theta.\nrecord000845: alpha beta gamma delta epsilon zeta eta theta.\nrecord000846: alpha beta gamma delta epsilon zeta eta theta.\nrecord000847: alpha beta gamma delta epsilon zeta eta theta.\nrecord000848: alpha beta gamma delta epsilon zeta eta theta.\nrecord000849: alpha beta gamma delta epsilon zeta eta theta.\nrecord000850: alpha beta gamma delta epsilon zeta eta theta.\nrecord000851: alpha beta gamma delta epsilon zeta eta theta.\nrecord000852: alpha beta gamma delta epsilon zeta eta theta.\nrecord000853: alpha beta gamma delta epsilon zeta eta theta.\nrecord000854: alpha beta gamma delta epsilon zeta eta theta.\nrecord000855: alpha beta gamma delta epsilon zeta eta theta.\nrecord000856: alpha beta gamma delta epsilon zeta eta theta.\nrecord000857: alpha beta gamma delta epsilon zeta eta theta.\nrecord000858: alpha beta gamma delta epsilon zeta eta theta.\nSummarize the structure of these records and explain how to look up a record by its ID."}], "tools": null, "final_answer": "Each record has the same simple structure:\n\n```text\nrecordNNNNNN: alpha beta gamma delta epsilon zeta eta theta.\n```\n\n- **ID**: `recordNNNNNN`, where `NNNNNN` is a 6-digit zero-padded number.\n- **Separator**: `:` and a space.\n- **Payload/content**: the fixed text `alpha beta gamma delta epsilon zeta eta theta.`\n- **Sequence**: IDs run consecutively from `record000001` upward; the visible sample goes through `record000858`.\n- **Data value**: every ID shown maps to the same payload.\n\nTo look up a record by ID, find the line whose ID matches exactly. For example, for `record000042`:\n\n```text\nrecord000042: alpha beta gamma delta epsilon zeta eta theta.\n```\n\nIf stored in an ordered list or array with the first record at index 0, the record number can be converted to an index as:\n\n```text\nindex = numeric_ID - 1\n```\n\nSo:\n\n```text\nrecord000001 -> index 0\nrecord000042 -> index 41\nrecord000858 -> index 857\n```", "reasoning": "We need answer user. User provided a huge list of records 1-858, each same text: recordXXXXXX: alpha beta gamma delta epsilon zeta eta theta. Then asks: Summarize the structure of these records and explain how to look up a record by its ID.\n\nWe need final answer concise but thorough. Need mention structure: each record is a line, ID label record followed by 6 digits zero-padded, colon, then payload fixed sequence of eight Greek letters. IDs sequential from 000001 to 000858 (at least in sample). Lookup by ID: parse line matching exact recordID: prefix or index in list/array, e.g. construct key record000042 and retrieve corresponding line. Could mention if stored in array index ID-1. Need maybe mention if ID outside range not present. Since data repeated, content doesn't vary by ID.\n\nNeed ensure not too much. Could provide examples.\n", "tool_calls": [], "finish_reason": "stop", "usage": {"prompt_tokens": 16387, "completion_tokens": 489, "total_tokens": 16876, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 16387, "prompt_ms": 2830.0, "prompt_per_token_ms": 0.173, "prompt_per_second": 5790.5, "predicted_n": 489, "predicted_ms": 3972.8, "predicted_per_token_ms": 8.124, "predicted_per_second": 123.1, "draft_n": 416, "draft_n_accepted": 263}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 6.818878, "first_delta": {"offset_s": 2.857835, "kind": "reasoning"}, "first_answer_offset_s": 4.581932, "client_events": [[2.857835, "reasoning"], [2.877392, "reasoning"], [2.877418, "reasoning"], [2.877437, "reasoning"], [2.877478, "reasoning"], [2.893027, "reasoning"], [2.893053, "reasoning"], [2.905027, "reasoning"], [2.916964, "reasoning"], [2.936132, "reasoning"], [2.936158, "reasoning"], [2.936176, "reasoning"], [2.936215, 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performance-short-r2]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table finds a value by using the key to compute an index, then looking in that “bucket” for the stored key/value pair.\n\n1. **Hash the key**: \n A hash function converts the key into a number.\n\n2. **Compute an index**: \n That number is mapped to a table index, often using modulo: \n `index = hash(key) % table_size`\n\n3. **Look up the bucket**: \n The table goes to that index and checks for the key.\n\n4. **Handle collisions**: \n A collision happens when two different keys hash to the same index. Common ways to handle collisions:\n - **Chaining**: each bucket stores a list of key/value pairs.\n - **Open addressing/probing**: if the slot is taken, search nearby slots.\n\n**Small example:**\n\nHash table size: 5 \nHash function: `hash(key) = key % 5`\n\nInsert:\n\n- `\"apple\" -> 10` \n hash(\"apple\") = 3 \n Store at index 3.\n\n- `\"banana\" -> 20` \n hash(\"banana\") = 3 \n Collision with \"apple\". If using chaining, index 3 now stores: \n `[(\"apple\", 10), (\"banana\", 20)]`\n\nTo find `\"banana\"`:\n\n1. Hash `\"banana\"` → 3.\n2. Go to index 3.\n3. Scan the list and find `\"banana\" -> 20`.\n\nSo a hash table finds values quickly by jumping directly to likely slots, then checking for collisions.", "reasoning": "We need answer user's request: \"Explain how a hash table finds a value, including collisions and one small example.\" Need produce final answer. Simple educational. Need likely concise but thorough. Cover hash function, bucket/index, key/value, search by hashing key, collisions, chaining/probing, rehash? small example. 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theta.\nrecord000062: alpha beta gamma delta epsilon zeta eta theta.\nrecord000063: alpha beta gamma delta epsilon zeta eta theta.\nrecord000064: alpha beta gamma delta epsilon zeta eta theta.\nrecord000065: alpha beta gamma delta epsilon zeta eta theta.\nrecord000066: alpha beta gamma delta epsilon zeta eta theta.\nrecord000067: alpha beta gamma delta epsilon zeta eta theta.\nrecord000068: alpha beta gamma delta epsilon zeta eta theta.\nrecord000069: alpha beta gamma delta epsilon zeta eta theta.\nrecord000070: alpha beta gamma delta epsilon zeta eta theta.\nrecord000071: alpha beta gamma delta epsilon zeta eta theta.\nrecord000072: alpha beta gamma delta epsilon zeta eta theta.\nrecord000073: alpha beta gamma delta epsilon zeta eta theta.\nrecord000074: alpha beta gamma delta epsilon zeta eta theta.\nrecord000075: alpha beta gamma delta epsilon zeta eta theta.\nrecord000076: alpha beta gamma delta epsilon zeta eta theta.\nrecord000077: alpha beta gamma delta epsilon zeta eta theta.\nrecord000078: alpha beta gamma delta epsilon zeta eta theta.\nrecord000079: alpha beta gamma delta epsilon zeta eta theta.\nrecord000080: alpha beta gamma delta epsilon zeta eta theta.\nrecord000081: alpha beta gamma delta epsilon zeta eta theta.\nrecord000082: alpha beta gamma delta epsilon zeta eta theta.\nrecord000083: alpha beta gamma delta epsilon zeta eta theta.\nrecord000084: alpha beta gamma delta epsilon zeta eta theta.\nrecord000085: alpha beta gamma delta epsilon zeta eta theta.\nrecord000086: alpha beta gamma delta epsilon zeta eta theta.\nrecord000087: alpha beta gamma delta epsilon zeta eta theta.\nrecord000088: alpha beta gamma delta epsilon zeta eta theta.\nrecord000089: alpha beta gamma delta epsilon zeta eta theta.\nrecord000090: alpha beta gamma delta epsilon zeta eta theta.\nrecord000091: alpha beta gamma delta epsilon zeta eta theta.\nrecord000092: alpha beta gamma delta epsilon zeta eta theta.\nrecord000093: alpha beta gamma delta epsilon zeta eta theta.\nrecord000094: alpha beta gamma delta epsilon zeta eta theta.\nrecord000095: alpha beta gamma delta epsilon zeta eta theta.\nrecord000096: alpha beta gamma delta epsilon zeta eta theta.\nrecord000097: alpha beta gamma delta epsilon zeta eta theta.\nrecord000098: alpha beta gamma delta epsilon zeta eta theta.\nrecord000099: alpha beta gamma delta epsilon zeta eta theta.\nrecord000100: alpha beta gamma delta epsilon zeta eta theta.\nrecord000101: alpha beta gamma delta epsilon zeta eta theta.\nrecord000102: alpha beta gamma delta epsilon zeta eta theta.\nrecord000103: alpha beta gamma delta epsilon zeta eta theta.\nrecord000104: alpha beta gamma delta epsilon zeta eta theta.\nrecord000105: alpha beta gamma delta epsilon zeta eta theta.\nrecord000106: alpha beta gamma delta epsilon zeta eta theta.\nrecord000107: alpha beta gamma delta epsilon zeta eta theta.\nrecord000108: alpha beta gamma delta epsilon zeta eta theta.\nrecord000109: alpha beta gamma delta epsilon zeta eta theta.\nrecord000110: alpha beta gamma delta epsilon zeta eta theta.\nrecord000111: alpha beta gamma delta epsilon zeta eta theta.\nrecord000112: alpha beta gamma delta epsilon zeta eta theta.\nrecord000113: alpha beta gamma delta epsilon zeta eta theta.\nrecord000114: alpha beta gamma delta epsilon zeta eta theta.\nrecord000115: alpha beta gamma delta epsilon zeta eta theta.\nrecord000116: alpha beta gamma delta epsilon zeta eta theta.\nrecord000117: alpha beta gamma delta epsilon zeta eta theta.\nrecord000118: alpha beta gamma delta epsilon zeta eta theta.\nrecord000119: alpha beta gamma delta epsilon zeta eta theta.\nrecord000120: alpha beta gamma delta epsilon zeta eta theta.\nrecord000121: alpha beta gamma delta epsilon zeta eta theta.\nrecord000122: alpha beta gamma delta epsilon zeta eta theta.\nrecord000123: alpha beta gamma delta epsilon zeta eta theta.\nrecord000124: alpha beta gamma delta epsilon zeta eta theta.\nrecord000125: alpha beta gamma delta epsilon zeta eta theta.\nrecord000126: alpha beta gamma delta epsilon zeta eta theta.\nrecord000127: alpha beta gamma delta epsilon zeta eta theta.\nrecord000128: alpha beta gamma delta epsilon zeta eta theta.\nrecord000129: alpha beta gamma delta epsilon zeta eta theta.\nrecord000130: alpha beta gamma delta epsilon zeta eta theta.\nrecord000131: alpha beta gamma delta epsilon zeta eta theta.\nrecord000132: alpha beta gamma delta epsilon zeta eta theta.\nrecord000133: alpha beta gamma delta epsilon zeta eta theta.\nrecord000134: alpha beta gamma delta epsilon zeta eta theta.\nrecord000135: alpha beta gamma delta epsilon zeta eta theta.\nrecord000136: alpha beta gamma delta epsilon zeta eta theta.\nrecord000137: alpha beta gamma delta epsilon zeta eta theta.\nrecord000138: alpha beta gamma delta epsilon zeta eta theta.\nrecord000139: alpha beta gamma delta epsilon zeta eta theta.\nrecord000140: alpha beta gamma delta epsilon zeta eta theta.\nrecord000141: alpha beta gamma delta epsilon zeta eta theta.\nrecord000142: alpha beta gamma delta epsilon zeta eta theta.\nrecord000143: alpha beta gamma delta epsilon zeta eta theta.\nrecord000144: alpha beta gamma delta epsilon zeta eta theta.\nrecord000145: alpha beta gamma delta epsilon zeta eta theta.\nrecord000146: alpha beta gamma delta epsilon zeta eta theta.\nrecord000147: alpha beta gamma delta epsilon zeta eta theta.\nrecord000148: alpha beta gamma delta epsilon zeta eta theta.\nrecord000149: alpha beta gamma delta epsilon zeta eta theta.\nrecord000150: alpha beta gamma delta epsilon zeta eta theta.\nrecord000151: alpha beta gamma delta epsilon zeta eta theta.\nrecord000152: alpha beta gamma delta epsilon zeta eta theta.\nrecord000153: alpha beta gamma delta epsilon zeta eta theta.\nrecord000154: alpha beta gamma delta epsilon zeta eta theta.\nrecord000155: alpha beta gamma delta epsilon zeta eta theta.\nrecord000156: alpha beta gamma delta epsilon zeta eta theta.\nrecord000157: alpha beta gamma delta epsilon zeta eta theta.\nrecord000158: alpha beta gamma delta epsilon zeta eta theta.\nrecord000159: alpha beta gamma delta epsilon zeta eta theta.\nrecord000160: alpha beta gamma delta epsilon zeta eta theta.\nrecord000161: alpha beta gamma delta epsilon zeta eta theta.\nrecord000162: alpha beta gamma delta epsilon zeta eta theta.\nrecord000163: alpha beta gamma delta epsilon zeta eta theta.\nrecord000164: alpha beta gamma delta epsilon zeta eta theta.\nrecord000165: alpha beta gamma delta epsilon zeta eta theta.\nrecord000166: alpha beta gamma delta epsilon zeta eta theta.\nrecord000167: alpha beta gamma delta epsilon zeta eta theta.\nrecord000168: alpha beta gamma delta epsilon zeta eta theta.\nrecord000169: alpha beta gamma delta epsilon zeta eta theta.\nrecord000170: alpha beta gamma delta epsilon zeta eta theta.\nrecord000171: alpha beta gamma delta epsilon zeta eta theta.\nrecord000172: alpha beta gamma delta epsilon zeta eta theta.\nrecord000173: alpha beta gamma delta epsilon zeta eta theta.\nrecord000174: alpha beta gamma delta epsilon zeta eta theta.\nrecord000175: alpha beta gamma delta epsilon zeta eta theta.\nrecord000176: alpha beta gamma delta epsilon zeta eta theta.\nrecord000177: alpha beta gamma delta epsilon zeta eta theta.\nrecord000178: alpha beta gamma delta epsilon zeta eta theta.\nrecord000179: alpha beta gamma delta epsilon zeta eta theta.\nrecord000180: alpha beta gamma delta epsilon zeta eta theta.\nrecord000181: alpha beta gamma delta epsilon zeta eta theta.\nrecord000182: alpha beta gamma delta epsilon zeta eta theta.\nrecord000183: alpha beta gamma delta epsilon zeta eta theta.\nrecord000184: alpha beta gamma delta epsilon zeta eta theta.\nrecord000185: alpha beta gamma delta epsilon zeta eta theta.\nrecord000186: alpha beta gamma delta epsilon zeta eta theta.\nrecord000187: alpha beta gamma delta epsilon zeta eta theta.\nrecord000188: alpha beta gamma delta epsilon zeta eta theta.\nrecord000189: alpha beta gamma delta epsilon zeta eta theta.\nrecord000190: alpha beta gamma delta epsilon zeta eta theta.\nrecord000191: alpha beta gamma delta epsilon zeta eta theta.\nrecord000192: alpha beta gamma delta epsilon zeta eta theta.\nrecord000193: alpha beta gamma delta epsilon zeta eta theta.\nrecord000194: alpha beta gamma delta epsilon zeta eta theta.\nrecord000195: alpha beta gamma delta epsilon zeta eta theta.\nrecord000196: alpha beta gamma delta epsilon zeta eta theta.\nrecord000197: alpha beta gamma delta epsilon zeta eta theta.\nrecord000198: alpha beta gamma delta epsilon zeta eta theta.\nrecord000199: alpha beta gamma delta epsilon zeta eta theta.\nrecord000200: alpha beta gamma delta epsilon zeta eta theta.\nrecord000201: alpha beta gamma delta epsilon zeta eta theta.\nrecord000202: alpha beta gamma delta epsilon zeta eta theta.\nrecord000203: alpha beta gamma delta epsilon zeta eta theta.\nrecord000204: alpha beta gamma delta epsilon zeta eta theta.\nrecord000205: alpha beta gamma delta epsilon zeta eta theta.\nrecord000206: alpha beta gamma delta epsilon zeta eta theta.\nrecord000207: alpha beta gamma delta epsilon zeta eta theta.\nrecord000208: alpha beta gamma delta epsilon zeta eta theta.\nrecord000209: alpha beta gamma delta epsilon zeta eta theta.\nrecord000210: alpha beta gamma delta epsilon zeta eta theta.\nrecord000211: alpha beta gamma delta epsilon zeta eta theta.\nSummarize the structure of these records and explain how to look up a record by its ID."}], "tools": null, "final_answer": "These records have a simple line-oriented structure:\n\n```text\nrecordID: field1 field2 field3 field4 field5 field6 field7 field8\n```\n\nExample:\n\n```text\nrecord000100: alpha beta gamma delta epsilon zeta eta theta\n```\n\n### Structure summary\n\nEach record consists of:\n\n1. **Record ID**\n - Format: `record` followed by a zero-padded numeric ID\n - Examples:\n - `record000001`\n - `record000100`\n - `record000211`\n\n2. **Separator**\n - A colon followed by a space: `: `\n\n3. **Record content**\n - A fixed sequence of eight word fields:\n - `alpha`\n - `beta`\n - `gamma`\n - `delta`\n - `epsilon`\n - `zeta`\n - `eta`\n - `theta`\n\nSo every record in the sample has the same payload:\n\n```text\nalpha beta gamma delta epsilon zeta eta theta\n```\n\n### How to look up a record by ID\n\nTo look up a record by its ID, treat the ID as the key and the text after", "reasoning": "We need answer user's request. User provided a long prompt with many records and asks: \"Summarize the structure of these records and explain how to look up a record by its ID.\" Need answer concise but detailed. Need maybe mention each line record followed by colon then fixed sequence Greek letters. IDs record000001 to record000211. Structure: zero-padded six-digit numeric ID, label, colon space, 8 tokens alpha...theta. Need lookup: parse ID string or pattern, exact match to record line, use map/index. Since all records identical payload, lookup by ID retrieves same content. Could explain steps: strip whitespace, split at first colon, key = left part, value = right part. Build dictionary: {record000001: 'alpha beta ... theta', ...}. To lookup record000175 returns value. Need maybe caution about padding and exact case. Need maybe mention if using line-based input. Final answer in English. Ensure not too verbose? desired 9, but user simple. Provide summary and lookup algorithm, maybe example pseudocode.\n", "tool_calls": [], "finish_reason": "length", "usage": {"prompt_tokens": 4093, "completion_tokens": 512, "total_tokens": 4605, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 4093, "prompt_ms": 817.1, "prompt_per_token_ms": 0.2, "prompt_per_second": 5009.2, "predicted_n": 512, "predicted_ms": 3976.9, "predicted_per_token_ms": 7.767, "predicted_per_second": 128.7, "draft_n": 416, "draft_n_accepted": 281}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 4.800998, "first_delta": {"offset_s": 0.835708, "kind": "reasoning"}, "first_answer_offset_s": 2.949391, "client_events": [[0.835708, "reasoning"], [0.854918, "reasoning"], [0.854968, "reasoning"], [0.855006, "reasoning"], [0.855044, "reasoning"], [0.874833, "reasoning"], [0.874882, "reasoning"], [0.874938, "reasoning"], [0.874965, "reasoning"], [0.892624, "reasoning"], [0.904315, "reasoning"], [0.923793, 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theta.\nrecord000763: alpha beta gamma delta epsilon zeta eta theta.\nrecord000764: alpha beta gamma delta epsilon zeta eta theta.\nrecord000765: alpha beta gamma delta epsilon zeta eta theta.\nrecord000766: alpha beta gamma delta epsilon zeta eta theta.\nrecord000767: alpha beta gamma delta epsilon zeta eta theta.\nrecord000768: alpha beta gamma delta epsilon zeta eta theta.\nrecord000769: alpha beta gamma delta epsilon zeta eta theta.\nrecord000770: alpha beta gamma delta epsilon zeta eta theta.\nrecord000771: alpha beta gamma delta epsilon zeta eta theta.\nrecord000772: alpha beta gamma delta epsilon zeta eta theta.\nrecord000773: alpha beta gamma delta epsilon zeta eta theta.\nrecord000774: alpha beta gamma delta epsilon zeta eta theta.\nrecord000775: alpha beta gamma delta epsilon zeta eta theta.\nrecord000776: alpha beta gamma delta epsilon zeta eta theta.\nrecord000777: alpha beta gamma delta epsilon zeta eta theta.\nrecord000778: alpha beta gamma delta epsilon zeta eta theta.\nrecord000779: alpha beta gamma delta epsilon zeta eta theta.\nrecord000780: alpha beta gamma delta epsilon zeta eta theta.\nrecord000781: alpha beta gamma delta epsilon zeta eta theta.\nrecord000782: alpha beta gamma delta epsilon zeta eta theta.\nrecord000783: alpha beta gamma delta epsilon zeta eta theta.\nrecord000784: alpha beta gamma delta epsilon zeta eta theta.\nrecord000785: alpha beta gamma delta epsilon zeta eta theta.\nrecord000786: alpha beta gamma delta epsilon zeta eta theta.\nrecord000787: alpha beta gamma delta epsilon zeta eta theta.\nrecord000788: alpha beta gamma delta epsilon zeta eta theta.\nrecord000789: alpha beta gamma delta epsilon zeta eta theta.\nrecord000790: alpha beta gamma delta epsilon zeta eta theta.\nrecord000791: alpha beta gamma delta epsilon zeta eta theta.\nrecord000792: alpha beta gamma delta epsilon zeta eta theta.\nrecord000793: alpha beta gamma delta epsilon zeta eta theta.\nrecord000794: alpha beta gamma delta epsilon zeta eta theta.\nrecord000795: alpha beta gamma delta epsilon zeta eta theta.\nrecord000796: alpha beta gamma delta epsilon zeta eta theta.\nrecord000797: alpha beta gamma delta epsilon zeta eta theta.\nrecord000798: alpha beta gamma delta epsilon zeta eta theta.\nrecord000799: alpha beta gamma delta epsilon zeta eta theta.\nrecord000800: alpha beta gamma delta epsilon zeta eta theta.\nrecord000801: alpha beta gamma delta epsilon zeta eta theta.\nrecord000802: alpha beta gamma delta epsilon zeta eta theta.\nrecord000803: alpha beta gamma delta epsilon zeta eta theta.\nrecord000804: alpha beta gamma delta epsilon zeta eta theta.\nrecord000805: alpha beta gamma delta epsilon zeta eta theta.\nrecord000806: alpha beta gamma delta epsilon zeta eta theta.\nrecord000807: alpha beta gamma delta epsilon zeta eta theta.\nrecord000808: alpha beta gamma delta epsilon zeta eta theta.\nrecord000809: alpha beta gamma delta epsilon zeta eta theta.\nrecord000810: alpha beta gamma delta epsilon zeta eta theta.\nrecord000811: alpha beta gamma delta epsilon zeta eta theta.\nrecord000812: alpha beta gamma delta epsilon zeta eta theta.\nrecord000813: alpha beta gamma delta epsilon zeta eta theta.\nrecord000814: alpha beta gamma delta epsilon zeta eta theta.\nrecord000815: alpha beta gamma delta epsilon zeta eta theta.\nrecord000816: alpha beta gamma delta epsilon zeta eta theta.\nrecord000817: alpha beta gamma delta epsilon zeta eta theta.\nrecord000818: alpha beta gamma delta epsilon zeta eta theta.\nrecord000819: alpha beta gamma delta epsilon zeta eta theta.\nrecord000820: alpha beta gamma delta epsilon zeta eta theta.\nrecord000821: alpha beta gamma delta epsilon zeta eta theta.\nrecord000822: alpha beta gamma delta epsilon zeta eta theta.\nrecord000823: alpha beta gamma delta epsilon zeta eta theta.\nrecord000824: alpha beta gamma delta epsilon zeta eta theta.\nrecord000825: alpha beta gamma delta epsilon zeta eta theta.\nrecord000826: alpha beta gamma delta epsilon zeta eta theta.\nrecord000827: alpha beta gamma delta epsilon zeta eta theta.\nrecord000828: alpha beta gamma delta epsilon zeta eta theta.\nrecord000829: alpha beta gamma delta epsilon zeta eta theta.\nrecord000830: alpha beta gamma delta epsilon zeta eta theta.\nrecord000831: alpha beta gamma delta epsilon zeta eta theta.\nrecord000832: alpha beta gamma delta epsilon zeta eta theta.\nrecord000833: alpha beta gamma delta epsilon zeta eta theta.\nrecord000834: alpha beta gamma delta epsilon zeta eta theta.\nrecord000835: alpha beta gamma delta epsilon zeta eta theta.\nrecord000836: alpha beta gamma delta epsilon zeta eta theta.\nrecord000837: alpha beta gamma delta epsilon zeta eta theta.\nrecord000838: alpha beta gamma delta epsilon zeta eta theta.\nrecord000839: alpha beta gamma delta epsilon zeta eta theta.\nrecord000840: alpha beta gamma delta epsilon zeta eta theta.\nrecord000841: alpha beta gamma delta epsilon zeta eta theta.\nrecord000842: alpha beta gamma delta epsilon zeta eta theta.\nrecord000843: alpha beta gamma delta epsilon zeta eta theta.\nrecord000844: alpha beta gamma delta epsilon zeta eta theta.\nrecord000845: alpha beta gamma delta epsilon zeta eta theta.\nrecord000846: alpha beta gamma delta epsilon zeta eta theta.\nrecord000847: alpha beta gamma delta epsilon zeta eta theta.\nrecord000848: alpha beta gamma delta epsilon zeta eta theta.\nrecord000849: alpha beta gamma delta epsilon zeta eta theta.\nrecord000850: alpha beta gamma delta epsilon zeta eta theta.\nrecord000851: alpha beta gamma delta epsilon zeta eta theta.\nrecord000852: alpha beta gamma delta epsilon zeta eta theta.\nrecord000853: alpha beta gamma delta epsilon zeta eta theta.\nrecord000854: alpha beta gamma delta epsilon zeta eta theta.\nrecord000855: alpha beta gamma delta epsilon zeta eta theta.\nrecord000856: alpha beta gamma delta epsilon zeta eta theta.\nrecord000857: alpha beta gamma delta epsilon zeta eta theta.\nrecord000858: alpha beta gamma delta epsilon zeta eta theta.\nSummarize the structure of these records and explain how to look up a record by its ID."}], "tools": null, "final_answer": "Each record has the same simple structure:\n\n```text\nrecord000001: alpha beta gamma delta epsilon zeta eta theta\n```\n\n- **Record ID**: `record` followed by a zero-padded 6-digit number, e.g. `record000001`.\n- **Separator**: `: `\n- **Payload**: the fixed text \n `alpha beta gamma delta epsilon zeta eta theta`\n\nThe IDs appear sequential from:\n\n```text\nrecord000001\n...\nrecord000858\n```\n\nSo the collection is effectively a line-delimited record file where each line is", "reasoning": "We need answer user's request. User provided huge repeated records and asks: \"Summarize the structure of these records and explain how to look up a record by its ID.\" Need likely analyze from prompt: records ID record000001 to record000858? Each line: recordNNNNNN: alpha beta gamma delta epsilon zeta eta theta. Need summarize structure: fixed format key: value, ID prefix zero-padded six digits? record + six digits, colon space, payload eight Greek words? alpha beta gamma delta epsilon zeta eta theta. Maybe line-delimited text/log. Lookup by ID: use exact ID as line prefix; parse line by colon to get value; if sorted sequential, binary search possible because IDs increasing and zero-padded lex order equals numeric order. Also perhaps in a list, index = numeric id? Since IDs start at 1 and sequential, if all present and no gaps, lookup recordID = records[id] if array 1-indexed or records[id-1] if 0-indexed, but robust method should search by ID. Need maybe mention for 858 records? Count? Let's verify lines start at 1 and end 858. The user included up to record000858. Could count: 858 lines. Need answer maybe concise but detailed. Need avoid listing all. Also maybe mention ID format: \"record%06d\". Payload constant. Maybe lookup: strip ID to number: int(record_id.removeprefix('record')), then compute offset. But if missing/duplicates, use map/dictionary from ID to record. If file text, grep exact prefix '^record000423:'. Could provide pseudocode. Also mention case-insensitive? no. 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"repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}}, "messages": [{"role": "user", "content": "[case performance-short-r3]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table finds a value like this:\n\n1. **Compute a hash** of the key.\n2. **Convert it to a bucket index**, e.g. `hash(key) % table_size`.\n3. **Go to that bucket** and search for the matching key.\n4. **Return the value** if the key is found.\n\n**Collisions** happen when two keys hash to the same bucket. They are handled by storing multiple entries in one bucket, often using:\n- **Chaining:** each bucket holds a linked list/array of entries.\n- **Open addressing:** the table probes nearby buckets until the key is found.\n\n**Example:** \nTable size = 4\n\n- Insert `\"apple\" -> 10`: `hash(\"apple\") % 4 = 2` → stored in bucket 2.\n- Insert `\"banana\" -> 20`: `hash(\"banana\") % 4 = 2` → collision; add to bucket 2 as well.\n- Find `\"banana\"`: hash to bucket 2, check entries, match `\"banana\"`, return `20`.", "reasoning": "We need answer user: \"Explain how a hash table finds a value, including collisions and one small example. [case performance-short-r3]\" Need final concise but thorough? Performance-short maybe shorter. Need explain lookup, hash key to bucket index, access bucket, compare key, collisions handled chaining/open addressing. Small example. 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gamma delta epsilon zeta eta theta.\nrecord000004: alpha beta gamma delta epsilon zeta eta theta.\nrecord000005: alpha beta gamma delta epsilon zeta eta theta.\nrecord000006: alpha beta gamma delta epsilon zeta eta theta.\nrecord000007: alpha beta gamma delta epsilon zeta eta theta.\nrecord000008: alpha beta gamma delta epsilon zeta eta theta.\nrecord000009: alpha beta gamma delta epsilon zeta eta theta.\nrecord000010: alpha beta gamma delta epsilon zeta eta theta.\nrecord000011: alpha beta gamma delta epsilon zeta eta theta.\nrecord000012: alpha beta gamma delta epsilon zeta eta theta.\nrecord000013: alpha beta gamma delta epsilon zeta eta theta.\nrecord000014: alpha beta gamma delta epsilon zeta eta theta.\nrecord000015: alpha beta gamma delta epsilon zeta eta theta.\nrecord000016: alpha beta gamma delta epsilon zeta eta theta.\nrecord000017: alpha beta gamma delta epsilon zeta eta theta.\nrecord000018: alpha beta gamma delta epsilon zeta eta theta.\nrecord000019: alpha beta gamma 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theta.\nrecord000180: alpha beta gamma delta epsilon zeta eta theta.\nrecord000181: alpha beta gamma delta epsilon zeta eta theta.\nrecord000182: alpha beta gamma delta epsilon zeta eta theta.\nrecord000183: alpha beta gamma delta epsilon zeta eta theta.\nrecord000184: alpha beta gamma delta epsilon zeta eta theta.\nrecord000185: alpha beta gamma delta epsilon zeta eta theta.\nrecord000186: alpha beta gamma delta epsilon zeta eta theta.\nrecord000187: alpha beta gamma delta epsilon zeta eta theta.\nrecord000188: alpha beta gamma delta epsilon zeta eta theta.\nrecord000189: alpha beta gamma delta epsilon zeta eta theta.\nrecord000190: alpha beta gamma delta epsilon zeta eta theta.\nrecord000191: alpha beta gamma delta epsilon zeta eta theta.\nrecord000192: alpha beta gamma delta epsilon zeta eta theta.\nrecord000193: alpha beta gamma delta epsilon zeta eta theta.\nrecord000194: alpha beta gamma delta epsilon zeta eta theta.\nrecord000195: alpha beta gamma delta epsilon zeta eta theta.\nrecord000196: alpha beta gamma delta epsilon zeta eta theta.\nrecord000197: alpha beta gamma delta epsilon zeta eta theta.\nrecord000198: alpha beta gamma delta epsilon zeta eta theta.\nrecord000199: alpha beta gamma delta epsilon zeta eta theta.\nrecord000200: alpha beta gamma delta epsilon zeta eta theta.\nrecord000201: alpha beta gamma delta epsilon zeta eta theta.\nrecord000202: alpha beta gamma delta epsilon zeta eta theta.\nrecord000203: alpha beta gamma delta epsilon zeta eta theta.\nrecord000204: alpha beta gamma delta epsilon zeta eta theta.\nrecord000205: alpha beta gamma delta epsilon zeta eta theta.\nrecord000206: alpha beta gamma delta epsilon zeta eta theta.\nrecord000207: alpha beta gamma delta epsilon zeta eta theta.\nrecord000208: alpha beta gamma delta epsilon zeta eta theta.\nrecord000209: alpha beta gamma delta epsilon zeta eta theta.\nrecord000210: alpha beta gamma delta epsilon zeta eta theta.\nrecord000211: alpha beta gamma delta epsilon zeta eta theta.\nSummarize the structure of these records and explain how to look up a record by its ID."}], "tools": null, "final_answer": "Each record has a simple two-part structure:\n\n```text\nrecord000123: alpha beta gamma delta epsilon zeta eta theta\n```\n\n- **Record ID**: the text before the colon, e.g. `record000123`\n- **Record value/content**: the text after the colon, e.g. `alpha beta gamma delta epsilon zeta eta theta`\n\nAll records in this example share the same content:\n\n```text\nalpha beta gamma delta epsilon zeta eta theta\n```\n\nThe record IDs are sequential and zero-padded to six digits, ranging from:\n\n```text\nrecord000001\n```\n\nto:\n\n```text\nrecord000211\n```\n\nTo look up a record by its ID:\n\n1. Take the desired numeric ID, for example `123`.\n2. Format it as a zero-padded six-digit ID:\n\n ```text\n record000123\n ```\n\n3. Find the line beginning with that exact ID.\n4. Return the text after the colon as the record value.\n\nExample lookup:\n\n```text\nID: record000123\nValue: alpha beta gamma delta epsilon zeta eta theta\n```\n\nIn a file or dataset, this could be done by searching for the exact prefix:\n\n```text\nrecord", "reasoning": "We need answer user's request. User provided records 1-211 all identical content: alpha beta gamma delta epsilon zeta eta theta. Asks: \"Summarize the structure of these records and explain how to look up a record by its ID.\" Need likely respond with structure: each line has recordNNNNNN: followed by fixed fields/tokens. IDs are zero-padded six-digit after record. To lookup by ID: parse line prefix before colon, match exact ID like record000200, then retrieve content after colon. Could mention if ID is numeric, format with %06d; binary search possible because sorted; use hash map. Also summarize: 211 records sequential from record000001 to record000211, identical value list. Need be concise but thorough. Ensure final answer only. Need in English same language. Could provide examples. Also maybe note if using line-based text: grep -n '^record000123:' file. Or index. Need satisfy.\n", "tool_calls": [], "finish_reason": "length", "usage": {"prompt_tokens": 4093, "completion_tokens": 512, "total_tokens": 4605, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 4093, "prompt_ms": 819.0, "prompt_per_token_ms": 0.2, "prompt_per_second": 4997.6, "predicted_n": 512, "predicted_ms": 3698.5, "predicted_per_token_ms": 7.224, "predicted_per_second": 138.4, "draft_n": 417, "draft_n_accepted": 303}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 4.524294, "first_delta": {"offset_s": 0.837003, "kind": "reasoning"}, "first_answer_offset_s": 2.623219, "client_events": [[0.837003, "reasoning"], [0.856193, "reasoning"], [0.856241, "reasoning"], [0.856283, "reasoning"], [0.856324, "reasoning"], [0.876047, "reasoning"], [0.8761, "reasoning"], [0.876162, "reasoning"], [0.876194, "reasoning"], [0.893441, "reasoning"], [0.910753, "reasoning"], [0.929351, "reasoning"], [0.948867, "reasoning"], [0.948909, 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theta.\nrecord000540: alpha beta gamma delta epsilon zeta eta theta.\nrecord000541: alpha beta gamma delta epsilon zeta eta theta.\nrecord000542: alpha beta gamma delta epsilon zeta eta theta.\nrecord000543: alpha beta gamma delta epsilon zeta eta theta.\nrecord000544: alpha beta gamma delta epsilon zeta eta theta.\nrecord000545: alpha beta gamma delta epsilon zeta eta theta.\nrecord000546: alpha beta gamma delta epsilon zeta eta theta.\nrecord000547: alpha beta gamma delta epsilon zeta eta theta.\nrecord000548: alpha beta gamma delta epsilon zeta eta theta.\nrecord000549: alpha beta gamma delta epsilon zeta eta theta.\nrecord000550: alpha beta gamma delta epsilon zeta eta theta.\nrecord000551: alpha beta gamma delta epsilon zeta eta theta.\nrecord000552: alpha beta gamma delta epsilon zeta eta theta.\nrecord000553: alpha beta gamma delta epsilon zeta eta theta.\nrecord000554: alpha beta gamma delta epsilon zeta eta theta.\nrecord000555: alpha beta gamma delta epsilon zeta eta theta.\nrecord000556: alpha beta gamma delta epsilon zeta eta theta.\nrecord000557: alpha beta gamma delta epsilon zeta eta theta.\nrecord000558: alpha beta gamma delta epsilon zeta eta theta.\nrecord000559: alpha beta gamma delta epsilon zeta eta theta.\nrecord000560: alpha beta gamma delta epsilon zeta eta theta.\nrecord000561: alpha beta gamma delta epsilon zeta eta theta.\nrecord000562: alpha beta gamma delta epsilon zeta eta theta.\nrecord000563: alpha beta gamma delta epsilon zeta eta theta.\nrecord000564: alpha beta gamma delta epsilon zeta eta theta.\nrecord000565: alpha beta gamma delta epsilon zeta eta theta.\nrecord000566: alpha beta gamma delta epsilon zeta eta theta.\nrecord000567: alpha beta gamma delta epsilon zeta eta theta.\nrecord000568: alpha beta gamma delta epsilon zeta eta theta.\nrecord000569: alpha beta gamma delta epsilon zeta eta theta.\nrecord000570: alpha beta gamma delta epsilon zeta eta theta.\nrecord000571: alpha beta gamma delta epsilon zeta eta theta.\nrecord000572: alpha beta gamma delta epsilon zeta eta theta.\nrecord000573: alpha beta gamma delta epsilon zeta eta theta.\nrecord000574: alpha beta gamma delta epsilon zeta eta theta.\nrecord000575: alpha beta gamma delta epsilon zeta eta theta.\nrecord000576: alpha beta gamma delta epsilon zeta eta theta.\nrecord000577: alpha beta gamma delta epsilon zeta eta theta.\nrecord000578: alpha beta gamma delta epsilon zeta eta theta.\nrecord000579: alpha beta gamma delta epsilon zeta eta theta.\nrecord000580: alpha beta gamma delta epsilon zeta eta theta.\nrecord000581: alpha beta gamma delta epsilon zeta eta theta.\nrecord000582: alpha beta gamma delta epsilon zeta eta theta.\nrecord000583: alpha beta gamma delta epsilon zeta eta theta.\nrecord000584: alpha beta gamma delta epsilon zeta eta theta.\nrecord000585: alpha beta gamma delta epsilon zeta eta theta.\nrecord000586: alpha beta gamma delta epsilon zeta eta theta.\nrecord000587: alpha beta gamma delta epsilon zeta eta theta.\nrecord000588: alpha beta gamma delta epsilon zeta eta theta.\nrecord000589: alpha beta gamma delta epsilon zeta eta theta.\nrecord000590: alpha beta gamma delta epsilon zeta eta theta.\nrecord000591: alpha beta gamma delta epsilon zeta eta theta.\nrecord000592: alpha beta gamma delta epsilon zeta eta theta.\nrecord000593: alpha beta gamma delta epsilon zeta eta theta.\nrecord000594: alpha beta gamma delta epsilon zeta eta theta.\nrecord000595: alpha beta gamma delta epsilon zeta eta theta.\nrecord000596: alpha beta gamma delta epsilon zeta eta theta.\nrecord000597: alpha beta gamma delta epsilon zeta eta theta.\nrecord000598: alpha beta gamma delta epsilon zeta eta theta.\nrecord000599: alpha beta gamma delta epsilon zeta eta theta.\nrecord000600: alpha beta gamma delta epsilon zeta eta theta.\nrecord000601: alpha beta gamma delta epsilon zeta eta theta.\nrecord000602: alpha beta gamma delta epsilon zeta eta theta.\nrecord000603: alpha beta gamma delta epsilon zeta eta theta.\nrecord000604: alpha beta gamma delta epsilon zeta eta theta.\nrecord000605: alpha beta gamma delta epsilon zeta eta theta.\nrecord000606: alpha beta gamma delta epsilon zeta eta theta.\nrecord000607: alpha beta gamma delta epsilon zeta eta theta.\nrecord000608: alpha beta gamma delta epsilon zeta eta theta.\nrecord000609: alpha beta gamma delta epsilon zeta eta theta.\nrecord000610: alpha beta gamma delta epsilon zeta eta theta.\nrecord000611: alpha beta gamma delta epsilon zeta eta theta.\nrecord000612: alpha beta gamma delta epsilon zeta eta theta.\nrecord000613: alpha beta gamma delta epsilon zeta eta theta.\nrecord000614: alpha beta gamma delta epsilon zeta eta theta.\nrecord000615: alpha beta gamma delta epsilon zeta eta theta.\nrecord000616: alpha beta gamma delta epsilon zeta eta theta.\nrecord000617: alpha beta gamma delta epsilon zeta eta theta.\nrecord000618: alpha beta gamma delta epsilon zeta eta theta.\nrecord000619: alpha beta gamma delta epsilon zeta eta theta.\nrecord000620: alpha beta gamma delta epsilon zeta eta theta.\nrecord000621: alpha beta gamma delta epsilon zeta eta theta.\nrecord000622: alpha beta gamma delta epsilon zeta eta theta.\nrecord000623: alpha beta gamma delta epsilon zeta eta theta.\nrecord000624: alpha beta gamma delta epsilon zeta eta theta.\nrecord000625: alpha beta gamma delta epsilon zeta eta theta.\nrecord000626: alpha beta gamma delta epsilon zeta eta theta.\nrecord000627: alpha beta gamma delta epsilon zeta eta theta.\nrecord000628: alpha beta gamma delta epsilon zeta eta theta.\nrecord000629: alpha beta gamma delta epsilon zeta eta theta.\nrecord000630: alpha beta gamma delta epsilon zeta eta theta.\nrecord000631: alpha beta gamma delta epsilon zeta eta theta.\nrecord000632: alpha beta gamma delta epsilon zeta eta theta.\nrecord000633: alpha beta gamma delta epsilon zeta eta theta.\nrecord000634: alpha beta gamma delta epsilon zeta eta theta.\nrecord000635: alpha beta gamma delta epsilon zeta eta theta.\nrecord000636: alpha beta gamma delta epsilon zeta eta theta.\nrecord000637: alpha beta gamma delta epsilon zeta eta theta.\nrecord000638: alpha beta gamma delta epsilon zeta eta theta.\nrecord000639: alpha beta gamma delta epsilon zeta eta theta.\nrecord000640: alpha beta gamma delta epsilon zeta eta theta.\nrecord000641: alpha beta gamma delta epsilon zeta eta theta.\nrecord000642: alpha beta gamma delta epsilon zeta eta theta.\nrecord000643: alpha beta gamma delta epsilon zeta eta theta.\nrecord000644: alpha beta gamma delta epsilon zeta eta theta.\nrecord000645: alpha beta gamma delta epsilon zeta eta theta.\nrecord000646: alpha beta gamma delta epsilon zeta eta theta.\nrecord000647: alpha beta gamma delta epsilon zeta eta theta.\nrecord000648: alpha beta gamma delta epsilon zeta eta theta.\nrecord000649: alpha beta gamma delta epsilon zeta eta theta.\nrecord000650: alpha beta gamma delta epsilon zeta eta theta.\nrecord000651: alpha beta gamma delta epsilon zeta eta theta.\nrecord000652: alpha beta gamma delta epsilon zeta eta theta.\nrecord000653: alpha beta gamma delta epsilon zeta eta theta.\nrecord000654: alpha beta gamma delta epsilon zeta eta theta.\nrecord000655: alpha beta gamma delta epsilon zeta eta theta.\nrecord000656: alpha beta gamma delta epsilon zeta eta theta.\nrecord000657: alpha beta gamma delta epsilon zeta eta theta.\nrecord000658: alpha beta gamma delta epsilon zeta eta theta.\nrecord000659: alpha beta gamma delta epsilon zeta eta theta.\nrecord000660: alpha beta gamma delta epsilon zeta eta theta.\nrecord000661: alpha beta gamma delta epsilon zeta eta theta.\nrecord000662: alpha beta gamma delta epsilon zeta eta theta.\nrecord000663: alpha beta gamma delta epsilon zeta eta theta.\nrecord000664: alpha beta gamma delta epsilon zeta eta theta.\nrecord000665: alpha beta gamma delta epsilon zeta eta theta.\nrecord000666: alpha beta gamma delta epsilon zeta eta theta.\nrecord000667: alpha beta gamma delta epsilon zeta eta theta.\nrecord000668: alpha beta gamma delta epsilon zeta eta theta.\nrecord000669: alpha beta gamma delta epsilon zeta eta theta.\nrecord000670: alpha beta gamma delta epsilon zeta eta theta.\nrecord000671: alpha beta gamma delta epsilon zeta eta theta.\nrecord000672: alpha beta gamma delta epsilon zeta eta theta.\nrecord000673: alpha beta gamma delta epsilon zeta eta theta.\nrecord000674: alpha beta gamma delta epsilon zeta eta theta.\nrecord000675: alpha beta gamma delta epsilon zeta eta theta.\nrecord000676: alpha beta gamma delta epsilon zeta eta theta.\nrecord000677: alpha beta gamma delta epsilon zeta eta theta.\nrecord000678: alpha beta gamma delta epsilon zeta eta theta.\nrecord000679: alpha beta gamma delta epsilon zeta eta theta.\nrecord000680: alpha beta gamma delta epsilon zeta eta theta.\nrecord000681: alpha beta gamma delta epsilon zeta eta theta.\nrecord000682: alpha beta gamma delta epsilon zeta eta theta.\nrecord000683: alpha beta gamma delta epsilon zeta eta theta.\nrecord000684: alpha beta gamma delta epsilon zeta eta theta.\nrecord000685: alpha beta gamma delta epsilon zeta eta theta.\nrecord000686: alpha beta gamma delta epsilon zeta eta theta.\nrecord000687: alpha beta gamma delta epsilon zeta eta theta.\nrecord000688: alpha beta gamma delta epsilon zeta eta theta.\nrecord000689: alpha beta gamma delta epsilon zeta eta theta.\nrecord000690: alpha beta gamma delta epsilon zeta eta theta.\nrecord000691: alpha beta gamma delta epsilon zeta eta theta.\nrecord000692: alpha beta gamma delta epsilon zeta eta theta.\nrecord000693: alpha beta gamma delta epsilon zeta eta theta.\nrecord000694: alpha beta gamma delta epsilon zeta eta theta.\nrecord000695: alpha beta gamma delta epsilon zeta eta theta.\nrecord000696: alpha beta gamma delta epsilon zeta eta theta.\nrecord000697: alpha beta gamma delta epsilon zeta eta theta.\nrecord000698: alpha beta gamma delta epsilon zeta eta theta.\nrecord000699: alpha beta gamma delta epsilon zeta eta theta.\nrecord000700: alpha beta gamma delta epsilon zeta eta theta.\nrecord000701: alpha beta gamma delta epsilon zeta eta theta.\nrecord000702: alpha beta gamma delta epsilon zeta eta theta.\nrecord000703: alpha beta gamma delta epsilon zeta eta theta.\nrecord000704: alpha beta gamma delta epsilon zeta eta theta.\nrecord000705: alpha beta gamma delta epsilon zeta eta theta.\nrecord000706: alpha beta gamma delta epsilon zeta eta theta.\nrecord000707: alpha beta gamma delta epsilon zeta eta theta.\nrecord000708: alpha beta gamma delta epsilon zeta eta theta.\nrecord000709: alpha beta gamma delta epsilon zeta eta theta.\nrecord000710: alpha beta gamma delta epsilon zeta eta theta.\nrecord000711: alpha beta gamma delta epsilon zeta eta theta.\nrecord000712: alpha beta gamma delta epsilon zeta eta theta.\nrecord000713: alpha beta gamma delta epsilon zeta eta theta.\nrecord000714: alpha beta gamma delta epsilon zeta eta theta.\nrecord000715: alpha beta gamma delta epsilon zeta eta theta.\nrecord000716: alpha beta gamma delta epsilon zeta eta theta.\nrecord000717: alpha beta gamma delta epsilon zeta eta theta.\nrecord000718: alpha beta gamma delta epsilon zeta eta theta.\nrecord000719: alpha beta gamma delta epsilon zeta eta theta.\nrecord000720: alpha beta gamma delta epsilon zeta eta theta.\nrecord000721: alpha beta gamma delta epsilon zeta eta theta.\nrecord000722: alpha beta gamma delta epsilon zeta eta theta.\nrecord000723: alpha beta gamma delta epsilon zeta eta theta.\nrecord000724: alpha beta gamma delta epsilon zeta eta theta.\nrecord000725: alpha beta gamma delta epsilon zeta eta theta.\nrecord000726: alpha beta gamma delta epsilon zeta eta theta.\nrecord000727: alpha beta gamma delta epsilon zeta eta theta.\nrecord000728: alpha beta gamma delta epsilon zeta eta theta.\nrecord000729: alpha beta gamma delta epsilon zeta eta theta.\nrecord000730: alpha beta gamma delta epsilon zeta eta theta.\nrecord000731: alpha beta gamma delta epsilon zeta eta theta.\nrecord000732: alpha beta gamma delta epsilon zeta eta theta.\nrecord000733: alpha beta gamma delta epsilon zeta eta theta.\nrecord000734: alpha beta gamma delta epsilon zeta eta theta.\nrecord000735: alpha beta gamma delta epsilon zeta eta theta.\nrecord000736: alpha beta gamma delta epsilon zeta eta theta.\nrecord000737: alpha beta gamma delta epsilon zeta eta theta.\nrecord000738: alpha beta gamma delta epsilon zeta eta theta.\nrecord000739: alpha beta gamma delta epsilon zeta eta theta.\nrecord000740: alpha beta gamma delta epsilon zeta eta theta.\nrecord000741: alpha beta gamma delta epsilon zeta eta theta.\nrecord000742: alpha beta gamma delta epsilon zeta eta theta.\nrecord000743: alpha beta gamma delta epsilon zeta eta theta.\nrecord000744: alpha beta gamma delta epsilon zeta eta theta.\nrecord000745: alpha beta gamma delta epsilon zeta eta theta.\nrecord000746: alpha beta gamma delta epsilon zeta eta theta.\nrecord000747: alpha beta gamma delta epsilon zeta eta theta.\nrecord000748: alpha beta gamma delta epsilon zeta eta theta.\nrecord000749: alpha beta gamma delta epsilon zeta eta theta.\nrecord000750: alpha beta gamma delta epsilon zeta eta theta.\nrecord000751: alpha beta gamma delta epsilon zeta eta theta.\nrecord000752: alpha beta gamma delta epsilon zeta eta theta.\nrecord000753: alpha beta gamma delta epsilon zeta eta theta.\nrecord000754: alpha beta gamma delta epsilon zeta eta theta.\nrecord000755: alpha beta gamma delta epsilon zeta eta theta.\nrecord000756: alpha beta gamma delta epsilon zeta eta theta.\nrecord000757: alpha beta gamma delta epsilon zeta eta theta.\nrecord000758: alpha beta gamma delta epsilon zeta eta theta.\nrecord000759: alpha beta gamma delta epsilon zeta eta theta.\nrecord000760: alpha beta gamma delta epsilon zeta eta theta.\nrecord000761: alpha beta gamma delta epsilon zeta eta theta.\nrecord000762: alpha beta gamma delta epsilon zeta eta theta.\nrecord000763: alpha beta gamma delta epsilon zeta eta theta.\nrecord000764: alpha beta gamma delta epsilon zeta eta theta.\nrecord000765: alpha beta gamma delta epsilon zeta eta theta.\nrecord000766: alpha beta gamma delta epsilon zeta eta theta.\nrecord000767: alpha beta gamma delta epsilon zeta eta theta.\nrecord000768: alpha beta gamma delta epsilon zeta eta theta.\nrecord000769: alpha beta gamma delta epsilon zeta eta theta.\nrecord000770: alpha beta gamma delta epsilon zeta eta theta.\nrecord000771: alpha beta gamma delta epsilon zeta eta theta.\nrecord000772: alpha beta gamma delta epsilon zeta eta theta.\nrecord000773: alpha beta gamma delta epsilon zeta eta theta.\nrecord000774: alpha beta gamma delta epsilon zeta eta theta.\nrecord000775: alpha beta gamma delta epsilon zeta eta theta.\nrecord000776: alpha beta gamma delta epsilon zeta eta theta.\nrecord000777: alpha beta gamma delta epsilon zeta eta theta.\nrecord000778: alpha beta gamma delta epsilon zeta eta theta.\nrecord000779: alpha beta gamma delta epsilon zeta eta theta.\nrecord000780: alpha beta gamma delta epsilon zeta eta theta.\nrecord000781: alpha beta gamma delta epsilon zeta eta theta.\nrecord000782: alpha beta gamma delta epsilon zeta eta theta.\nrecord000783: alpha beta gamma delta epsilon zeta eta theta.\nrecord000784: alpha beta gamma delta epsilon zeta eta theta.\nrecord000785: alpha beta gamma delta epsilon zeta eta theta.\nrecord000786: alpha beta gamma delta epsilon zeta eta theta.\nrecord000787: alpha beta gamma delta epsilon zeta eta theta.\nrecord000788: alpha beta gamma delta epsilon zeta eta theta.\nrecord000789: alpha beta gamma delta epsilon zeta eta theta.\nrecord000790: alpha beta gamma delta epsilon zeta eta theta.\nrecord000791: alpha beta gamma delta epsilon zeta eta theta.\nrecord000792: alpha beta gamma delta epsilon zeta eta theta.\nrecord000793: alpha beta gamma delta epsilon zeta eta theta.\nrecord000794: alpha beta gamma delta epsilon zeta eta theta.\nrecord000795: alpha beta gamma delta epsilon zeta eta theta.\nrecord000796: alpha beta gamma delta epsilon zeta eta theta.\nrecord000797: alpha beta gamma delta epsilon zeta eta theta.\nrecord000798: alpha beta gamma delta epsilon zeta eta theta.\nrecord000799: alpha beta gamma delta epsilon zeta eta theta.\nrecord000800: alpha beta gamma delta epsilon zeta eta theta.\nrecord000801: alpha beta gamma delta epsilon zeta eta theta.\nrecord000802: alpha beta gamma delta epsilon zeta eta theta.\nrecord000803: alpha beta gamma delta epsilon zeta eta theta.\nrecord000804: alpha beta gamma delta epsilon zeta eta theta.\nrecord000805: alpha beta gamma delta epsilon zeta eta theta.\nrecord000806: alpha beta gamma delta epsilon zeta eta theta.\nrecord000807: alpha beta gamma delta epsilon zeta eta theta.\nrecord000808: alpha beta gamma delta epsilon zeta eta theta.\nrecord000809: alpha beta gamma delta epsilon zeta eta theta.\nrecord000810: alpha beta gamma delta epsilon zeta eta theta.\nrecord000811: alpha beta gamma delta epsilon zeta eta theta.\nrecord000812: alpha beta gamma delta epsilon zeta eta theta.\nrecord000813: alpha beta gamma delta epsilon zeta eta theta.\nrecord000814: alpha beta gamma delta epsilon zeta eta theta.\nrecord000815: alpha beta gamma delta epsilon zeta eta theta.\nrecord000816: alpha beta gamma delta epsilon zeta eta theta.\nrecord000817: alpha beta gamma delta epsilon zeta eta theta.\nrecord000818: alpha beta gamma delta epsilon zeta eta theta.\nrecord000819: alpha beta gamma delta epsilon zeta eta theta.\nrecord000820: alpha beta gamma delta epsilon zeta eta theta.\nrecord000821: alpha beta gamma delta epsilon zeta eta theta.\nrecord000822: alpha beta gamma delta epsilon zeta eta theta.\nrecord000823: alpha beta gamma delta epsilon zeta eta theta.\nrecord000824: alpha beta gamma delta epsilon zeta eta theta.\nrecord000825: alpha beta gamma delta epsilon zeta eta theta.\nrecord000826: alpha beta gamma delta epsilon zeta eta theta.\nrecord000827: alpha beta gamma delta epsilon zeta eta theta.\nrecord000828: alpha beta gamma delta epsilon zeta eta theta.\nrecord000829: alpha beta gamma delta epsilon zeta eta theta.\nrecord000830: alpha beta gamma delta epsilon zeta eta theta.\nrecord000831: alpha beta gamma delta epsilon zeta eta theta.\nrecord000832: alpha beta gamma delta epsilon zeta eta theta.\nrecord000833: alpha beta gamma delta epsilon zeta eta theta.\nrecord000834: alpha beta gamma delta epsilon zeta eta theta.\nrecord000835: alpha beta gamma delta epsilon zeta eta theta.\nrecord000836: alpha beta gamma delta epsilon zeta eta theta.\nrecord000837: alpha beta gamma delta epsilon zeta eta theta.\nrecord000838: alpha beta gamma delta epsilon zeta eta theta.\nrecord000839: alpha beta gamma delta epsilon zeta eta theta.\nrecord000840: alpha beta gamma delta epsilon zeta eta theta.\nrecord000841: alpha beta gamma delta epsilon zeta eta theta.\nrecord000842: alpha beta gamma delta epsilon zeta eta theta.\nrecord000843: alpha beta gamma delta epsilon zeta eta theta.\nrecord000844: alpha beta gamma delta epsilon zeta eta theta.\nrecord000845: alpha beta gamma delta epsilon zeta eta theta.\nrecord000846: alpha beta gamma delta epsilon zeta eta theta.\nrecord000847: alpha beta gamma delta epsilon zeta eta theta.\nrecord000848: alpha beta gamma delta epsilon zeta eta theta.\nrecord000849: alpha beta gamma delta epsilon zeta eta theta.\nrecord000850: alpha beta gamma delta epsilon zeta eta theta.\nrecord000851: alpha beta gamma delta epsilon zeta eta theta.\nrecord000852: alpha beta gamma delta epsilon zeta eta theta.\nrecord000853: alpha beta gamma delta epsilon zeta eta theta.\nrecord000854: alpha beta gamma delta epsilon zeta eta theta.\nrecord000855: alpha beta gamma delta epsilon zeta eta theta.\nrecord000856: alpha beta gamma delta epsilon zeta eta theta.\nrecord000857: alpha beta gamma delta epsilon zeta eta theta.\nrecord000858: alpha beta gamma delta epsilon zeta eta theta.\nSummarize the structure of these records and explain how to look up a record by its ID."}], "tools": null, "final_answer": "Each record has the same simple structure:\n\n```text\nrecord000001: alpha beta gamma delta epsilon zeta eta theta.\n```\n\nSo each line contains:\n\n- **Record ID**: `record` followed by a six-digit zero-padded number \n - Example: `record000001`, `record000042`, `record000858`\n- **Separator**: a colon and space `: `\n- **Record value**: the fixed sequence \n", "reasoning": "We need respond to user. User provided a huge list of records (record000001 to record000858?) each same content: \"alpha beta gamma delta epsilon zeta eta theta.\" They ask: \"Summarize the structure of these records and explain how to look up a record by its ID.\"\n\nNeed produce final answer. Need think in English? User request English. Need maybe include structure: each line is a record with ID field \"record\" + six-digit zero-padded number, colon, value sequence of eight Greek alphabet names. IDs sequential 1..858? Need verify last is record000858. Yes. All values identical. Need explain lookup: parse line, find ID, match zero-padded ID, maybe use data structure map/hash, binary search due sequential IDs, construct key recordNNNNNN, ensure zero padding. Maybe include examples: lookup record000042 -> alpha beta gamma delta epsilon zeta eta theta. Could mention if missing? Since all present. Also maybe summarize size 858 records. Could explain format in fields.\n\nNeed careful: The list maybe truncated? It includes up to 858, not 16k? case prompt 16k but only 858 records. We should answer only visible records. Structure: each record line: key = record + 6-digit decimal zero-padded; separator colon-space; value = fixed token list of eight words: alpha beta gamma delta epsilon zeta eta theta. The records are ordered by numeric ID ascending. Need look up: normalize desired ID to 6 digits, search line beginning with ID + \":\" or map from ID to tokens. If using program: split at first colon, left part key. Or if array indexed by ID: records[id-1] due sequential. Could mention case-sensitive.\n\nFinal answer concise but enough. Ensure not too much.\n", "tool_calls": [], "finish_reason": "length", "usage": {"prompt_tokens": 16387, "completion_tokens": 512, "total_tokens": 16899, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 16387, "prompt_ms": 2842.4, "prompt_per_token_ms": 0.173, "prompt_per_second": 5765.2, "predicted_n": 512, "predicted_ms": 4375.7, "predicted_per_token_ms": 8.546, "predicted_per_second": 117.0, "draft_n": 373, "draft_n_accepted": 241}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 7.232936, "first_delta": {"offset_s": 2.868526, "kind": "reasoning"}, "first_answer_offset_s": 6.534538, "client_events": [[2.868526, "reasoning"], [2.888094, "reasoning"], [2.88812, "reasoning"], [2.907928, "reasoning"], [2.907953, "reasoning"], [2.907971, "reasoning"], [2.908011, "reasoning"], [2.920298, "reasoning"], [2.932274, "reasoning"], [2.944252, "reasoning"], [2.963935, "reasoning"], [2.96396, "reasoning"], [2.963978, "reasoning"], 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theta.\nrecord000210: alpha beta gamma delta epsilon zeta eta theta.\nrecord000211: alpha beta gamma delta epsilon zeta eta theta.\nWhat is access_code? Reply only with its value."}], "tools": null, "final_answer": "ORBIT-731", "reasoning": "We need answer user's request. User provided a long log with access_code = ORBIT-731 among records and asks What is access_code? Reply only with its value. Need output only value. Final: ORBIT-731. 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theta.\nrecord000652: alpha beta gamma delta epsilon zeta eta theta.\nrecord000653: alpha beta gamma delta epsilon zeta eta theta.\nrecord000654: alpha beta gamma delta epsilon zeta eta theta.\nrecord000655: alpha beta gamma delta epsilon zeta eta theta.\nrecord000656: alpha beta gamma delta epsilon zeta eta theta.\nrecord000657: alpha beta gamma delta epsilon zeta eta theta.\nrecord000658: alpha beta gamma delta epsilon zeta eta theta.\nrecord000659: alpha beta gamma delta epsilon zeta eta theta.\nrecord000660: alpha beta gamma delta epsilon zeta eta theta.\nrecord000661: alpha beta gamma delta epsilon zeta eta theta.\nrecord000662: alpha beta gamma delta epsilon zeta eta theta.\nrecord000663: alpha beta gamma delta epsilon zeta eta theta.\nrecord000664: alpha beta gamma delta epsilon zeta eta theta.\nrecord000665: alpha beta gamma delta epsilon zeta eta theta.\nrecord000666: alpha beta gamma delta epsilon zeta eta theta.\nrecord000667: alpha beta gamma delta epsilon zeta eta theta.\nrecord000668: alpha beta gamma delta epsilon zeta eta theta.\nrecord000669: alpha beta gamma delta epsilon zeta eta theta.\nrecord000670: alpha beta gamma delta epsilon zeta eta theta.\nrecord000671: alpha beta gamma delta epsilon zeta eta theta.\nrecord000672: alpha beta gamma delta epsilon zeta eta theta.\nrecord000673: alpha beta gamma delta epsilon zeta eta theta.\nrecord000674: alpha beta gamma delta epsilon zeta eta theta.\nrecord000675: alpha beta gamma delta epsilon zeta eta theta.\nrecord000676: alpha beta gamma delta epsilon zeta eta theta.\nrecord000677: alpha beta gamma delta epsilon zeta eta theta.\nrecord000678: alpha beta gamma delta epsilon zeta eta theta.\nrecord000679: alpha beta gamma delta epsilon zeta eta theta.\nrecord000680: alpha beta gamma delta epsilon zeta eta theta.\nrecord000681: alpha beta gamma delta epsilon zeta eta theta.\nrecord000682: alpha beta gamma delta epsilon zeta eta theta.\nrecord000683: alpha beta gamma delta epsilon zeta eta theta.\nrecord000684: alpha beta gamma delta epsilon zeta eta theta.\nrecord000685: alpha beta gamma delta epsilon zeta eta theta.\nrecord000686: alpha beta gamma delta epsilon zeta eta theta.\nrecord000687: alpha beta gamma delta epsilon zeta eta theta.\nrecord000688: alpha beta gamma delta epsilon zeta eta theta.\nrecord000689: alpha beta gamma delta epsilon zeta eta theta.\nrecord000690: alpha beta gamma delta epsilon zeta eta theta.\nrecord000691: alpha beta gamma delta epsilon zeta eta theta.\nrecord000692: alpha beta gamma delta epsilon zeta eta theta.\nrecord000693: alpha beta gamma delta epsilon zeta eta theta.\nrecord000694: alpha beta gamma delta epsilon zeta eta theta.\nrecord000695: alpha beta gamma delta epsilon zeta eta theta.\nrecord000696: alpha beta gamma delta epsilon zeta eta theta.\nrecord000697: alpha beta gamma delta epsilon zeta eta theta.\nrecord000698: alpha beta gamma delta epsilon zeta eta theta.\nrecord000699: alpha beta gamma delta epsilon zeta eta theta.\nrecord000700: alpha beta gamma delta epsilon zeta eta theta.\nrecord000701: alpha beta gamma delta epsilon zeta eta theta.\nrecord000702: alpha beta gamma delta epsilon zeta eta theta.\nrecord000703: alpha beta gamma delta epsilon zeta eta theta.\nrecord000704: alpha beta gamma delta epsilon zeta eta theta.\nrecord000705: alpha beta gamma delta epsilon zeta eta theta.\nrecord000706: alpha beta gamma delta epsilon zeta eta theta.\nrecord000707: alpha beta gamma delta epsilon zeta eta theta.\nrecord000708: alpha beta gamma delta epsilon zeta eta theta.\nrecord000709: alpha beta gamma delta epsilon zeta eta theta.\nrecord000710: alpha beta gamma delta epsilon zeta eta theta.\nrecord000711: alpha beta gamma delta epsilon zeta eta theta.\nrecord000712: alpha beta gamma delta epsilon zeta eta theta.\nrecord000713: alpha beta gamma delta epsilon zeta eta theta.\nrecord000714: alpha beta gamma delta epsilon zeta eta theta.\nrecord000715: alpha beta gamma delta epsilon zeta eta theta.\nrecord000716: alpha beta gamma delta epsilon zeta eta theta.\nrecord000717: alpha beta gamma delta epsilon zeta eta theta.\nrecord000718: alpha beta gamma delta epsilon zeta eta theta.\nrecord000719: alpha beta gamma delta epsilon zeta eta theta.\nrecord000720: alpha beta gamma delta epsilon zeta eta theta.\nrecord000721: alpha beta gamma delta epsilon zeta eta theta.\nrecord000722: alpha beta gamma delta epsilon zeta eta theta.\nrecord000723: alpha beta gamma delta epsilon zeta eta theta.\nrecord000724: alpha beta gamma delta epsilon zeta eta theta.\nrecord000725: alpha beta gamma delta epsilon zeta eta theta.\nrecord000726: alpha beta gamma delta epsilon zeta eta theta.\nrecord000727: alpha beta gamma delta epsilon zeta eta theta.\nrecord000728: alpha beta gamma delta epsilon zeta eta theta.\nrecord000729: alpha beta gamma delta epsilon zeta eta theta.\nrecord000730: alpha beta gamma delta epsilon zeta eta theta.\nrecord000731: alpha beta gamma delta epsilon zeta eta theta.\nrecord000732: alpha beta gamma delta epsilon zeta eta theta.\nrecord000733: alpha beta gamma delta epsilon zeta eta theta.\nrecord000734: alpha beta gamma delta epsilon zeta eta theta.\nrecord000735: alpha beta gamma delta epsilon zeta eta theta.\nrecord000736: alpha beta gamma delta epsilon zeta eta theta.\nrecord000737: alpha beta gamma delta epsilon zeta eta theta.\nrecord000738: alpha beta gamma delta epsilon zeta eta theta.\nrecord000739: alpha beta gamma delta epsilon zeta eta theta.\nrecord000740: alpha beta gamma delta epsilon zeta eta theta.\nrecord000741: alpha beta gamma delta epsilon zeta eta theta.\nrecord000742: alpha beta gamma delta epsilon zeta eta theta.\nrecord000743: alpha beta gamma delta epsilon zeta eta theta.\nrecord000744: alpha beta gamma delta epsilon zeta eta theta.\nrecord000745: alpha beta gamma delta epsilon zeta eta theta.\nrecord000746: alpha beta gamma delta epsilon zeta eta theta.\nrecord000747: alpha beta gamma delta epsilon zeta eta theta.\nrecord000748: alpha beta gamma delta epsilon zeta eta theta.\nrecord000749: alpha beta gamma delta epsilon zeta eta theta.\nrecord000750: alpha beta gamma delta epsilon zeta eta theta.\nrecord000751: alpha beta gamma delta epsilon zeta eta theta.\nrecord000752: alpha beta gamma delta epsilon zeta eta theta.\nrecord000753: alpha beta gamma delta epsilon zeta eta theta.\nrecord000754: alpha beta gamma delta epsilon zeta eta theta.\nrecord000755: alpha beta gamma delta epsilon zeta eta theta.\nrecord000756: alpha beta gamma delta epsilon zeta eta theta.\nrecord000757: alpha beta gamma delta epsilon zeta eta theta.\nrecord000758: alpha beta gamma delta epsilon zeta eta theta.\nrecord000759: alpha beta gamma delta epsilon zeta eta theta.\nrecord000760: alpha beta gamma delta epsilon zeta eta theta.\nrecord000761: alpha beta gamma delta epsilon zeta eta theta.\nrecord000762: alpha beta gamma delta epsilon zeta eta theta.\nrecord000763: alpha beta gamma delta epsilon zeta eta theta.\nrecord000764: alpha beta gamma delta epsilon zeta eta theta.\nrecord000765: alpha beta gamma delta epsilon zeta eta theta.\nrecord000766: alpha beta gamma delta epsilon zeta eta theta.\nrecord000767: alpha beta gamma delta epsilon zeta eta theta.\nrecord000768: alpha beta gamma delta epsilon zeta eta theta.\nrecord000769: alpha beta gamma delta epsilon zeta eta theta.\nrecord000770: alpha beta gamma delta epsilon zeta eta theta.\nrecord000771: alpha beta gamma delta epsilon zeta eta theta.\nrecord000772: alpha beta gamma delta epsilon zeta eta theta.\nsouth = S-875\nrecord000773: alpha beta gamma delta epsilon zeta eta theta.\nrecord000774: alpha beta gamma delta epsilon zeta eta theta.\nrecord000775: alpha beta gamma delta epsilon zeta eta theta.\nrecord000776: alpha beta gamma delta epsilon zeta eta theta.\nrecord000777: alpha beta gamma delta epsilon zeta eta theta.\nrecord000778: alpha beta gamma delta epsilon zeta eta theta.\nrecord000779: alpha beta gamma delta epsilon zeta eta theta.\nrecord000780: alpha beta gamma delta epsilon zeta eta theta.\nrecord000781: alpha beta gamma delta epsilon zeta eta theta.\nrecord000782: alpha beta gamma delta epsilon zeta eta theta.\nrecord000783: alpha beta gamma delta epsilon zeta eta theta.\nrecord000784: alpha beta gamma delta epsilon zeta eta theta.\nrecord000785: alpha beta gamma delta epsilon zeta eta theta.\nrecord000786: alpha beta gamma delta epsilon zeta eta theta.\nrecord000787: alpha beta gamma delta epsilon zeta eta theta.\nrecord000788: alpha beta gamma delta epsilon zeta eta theta.\nrecord000789: alpha beta gamma delta epsilon zeta eta theta.\nrecord000790: alpha beta gamma delta epsilon zeta eta theta.\nrecord000791: alpha beta gamma delta epsilon zeta eta theta.\nrecord000792: alpha beta gamma delta epsilon zeta eta theta.\nrecord000793: alpha beta gamma delta epsilon zeta eta theta.\nrecord000794: alpha beta gamma delta epsilon zeta eta theta.\nrecord000795: alpha beta gamma delta epsilon zeta eta theta.\nrecord000796: alpha beta gamma delta epsilon zeta eta theta.\nrecord000797: alpha beta gamma delta epsilon zeta eta theta.\nrecord000798: alpha beta gamma delta epsilon zeta eta theta.\nrecord000799: alpha beta gamma delta epsilon zeta eta theta.\nrecord000800: alpha beta gamma delta epsilon zeta eta theta.\nrecord000801: alpha beta gamma delta epsilon zeta eta theta.\nrecord000802: alpha beta gamma delta epsilon zeta eta theta.\nrecord000803: alpha beta gamma delta epsilon zeta eta theta.\nrecord000804: alpha beta gamma delta epsilon zeta eta theta.\nrecord000805: alpha beta gamma delta epsilon zeta eta theta.\nrecord000806: alpha beta gamma delta epsilon zeta eta theta.\nrecord000807: alpha beta gamma delta epsilon zeta eta theta.\nrecord000808: alpha beta gamma delta epsilon zeta eta theta.\nrecord000809: alpha beta gamma delta epsilon zeta eta theta.\nrecord000810: alpha beta gamma delta epsilon zeta eta theta.\nrecord000811: alpha beta gamma delta epsilon zeta eta theta.\nrecord000812: alpha beta gamma delta epsilon zeta eta theta.\nrecord000813: alpha beta gamma delta epsilon zeta eta theta.\nrecord000814: alpha beta gamma delta epsilon zeta eta theta.\nrecord000815: alpha beta gamma delta epsilon zeta eta theta.\nrecord000816: alpha beta gamma delta epsilon zeta eta theta.\nrecord000817: alpha beta gamma delta epsilon zeta eta theta.\nrecord000818: alpha beta gamma delta epsilon zeta eta theta.\nrecord000819: alpha beta gamma delta epsilon zeta eta theta.\nrecord000820: alpha beta gamma delta epsilon zeta eta theta.\nrecord000821: alpha beta gamma delta epsilon zeta eta theta.\nrecord000822: alpha beta gamma delta epsilon zeta eta theta.\nrecord000823: alpha beta gamma delta epsilon zeta eta theta.\nrecord000824: alpha beta gamma delta epsilon zeta eta theta.\nrecord000825: alpha beta gamma delta epsilon zeta eta theta.\nrecord000826: alpha beta gamma delta epsilon zeta eta theta.\nrecord000827: alpha beta gamma delta epsilon zeta eta theta.\nrecord000828: alpha beta gamma delta epsilon zeta eta theta.\nrecord000829: alpha beta gamma delta epsilon zeta eta theta.\nrecord000830: alpha beta gamma delta epsilon zeta eta theta.\nrecord000831: alpha beta gamma delta epsilon zeta eta theta.\nrecord000832: alpha beta gamma delta epsilon zeta eta theta.\nrecord000833: alpha beta gamma delta epsilon zeta eta theta.\nrecord000834: alpha beta gamma delta epsilon zeta eta theta.\nrecord000835: alpha beta gamma delta epsilon zeta eta theta.\nrecord000836: alpha beta gamma delta epsilon zeta eta theta.\nrecord000837: alpha beta gamma delta epsilon zeta eta theta.\nrecord000838: alpha beta gamma delta epsilon zeta eta theta.\nrecord000839: alpha beta gamma delta epsilon zeta eta theta.\nrecord000840: alpha beta gamma delta epsilon zeta eta theta.\nrecord000841: alpha beta gamma delta epsilon zeta eta theta.\nrecord000842: alpha beta gamma delta epsilon zeta eta theta.\nrecord000843: alpha beta gamma delta epsilon zeta eta theta.\nrecord000844: alpha beta gamma delta epsilon zeta eta theta.\nrecord000845: alpha beta gamma delta epsilon zeta eta theta.\nrecord000846: alpha beta gamma delta epsilon zeta eta theta.\nrecord000847: alpha beta gamma delta epsilon zeta eta theta.\nrecord000848: alpha beta gamma delta epsilon zeta eta theta.\nrecord000849: alpha beta gamma delta epsilon zeta eta theta.\nrecord000850: alpha beta gamma delta epsilon zeta eta theta.\nrecord000851: alpha beta gamma delta epsilon zeta eta theta.\nrecord000852: alpha beta gamma delta epsilon zeta eta theta.\nrecord000853: alpha beta gamma delta epsilon zeta eta theta.\nrecord000854: alpha beta gamma delta epsilon zeta eta theta.\nrecord000855: alpha beta gamma delta epsilon zeta eta theta.\nrecord000856: alpha beta gamma delta epsilon zeta eta theta.\nrecord000857: alpha beta gamma delta epsilon zeta eta theta.\nrecord000858: alpha beta gamma delta epsilon zeta eta theta.\nReturn only a JSON object containing north and south and their values."}], "tools": null, "final_answer": "{\n \"north\": \"N-124\",\n \"south\": \"S-875\"\n}", "reasoning": "We need answer user's request. User gave a long text with records and lines:\n[case sanity-R4]\n...\nnorth = N-124\n...\nsouth = S-875\n...\nReturn only a JSON object containing north and south and their values.\nNeed output JSON only. Need parse values: north = N-124, south = S-875. Ensure JSON object containing north and south and their values. Probably {\"north\":\"N-124\",\"south\":\"S-875\"}.\nNeed final only JSON. No extra. Ensure no markdown.\n", "tool_calls": [], "finish_reason": "stop", "usage": {"prompt_tokens": 16390, "completion_tokens": 160, "total_tokens": 16550, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 16390, "prompt_ms": 3064.7, "prompt_per_token_ms": 0.187, "prompt_per_second": 5348.0, "predicted_n": 160, "predicted_ms": 969.3, "predicted_per_token_ms": 6.058, "predicted_per_second": 165.1, "draft_n": 124, "draft_n_accepted": 108}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 4.049398, "first_delta": {"offset_s": 3.091783, "kind": "reasoning"}, "first_answer_offset_s": 3.909108, "client_events": [[3.091783, "reasoning"], [3.11206, "reasoning"], [3.112085, "reasoning"], [3.112103, "reasoning"], [3.112139, "reasoning"], [3.132388, "reasoning"], [3.132414, "reasoning"], [3.132432, "reasoning"], [3.132479, "reasoning"], [3.144351, "reasoning"], [3.156474, "reasoning"], [3.168445, "reasoning"], [3.183479, "reasoning"], [3.183504, "reasoning"], [3.203539, "reasoning"], [3.203564, "reasoning"], [3.223351, "reasoning"], [3.223383, "reasoning"], [3.23524, "reasoning"], [3.254873, "reasoning"], [3.254898, "reasoning"], [3.254916, "reasoning"], [3.254958, "reasoning"], [3.274909, "reasoning"], [3.274934, "reasoning"], [3.274963, "reasoning"], [3.290194, "reasoning"], [3.29022, "reasoning"], [3.310433, "reasoning"], [3.310458, "reasoning"], [3.310491, "reasoning"], [3.310524, "reasoning"], [3.330566, "reasoning"], [3.330592, "reasoning"], [3.330609, "reasoning"], [3.330667, "reasoning"], [3.350537, "reasoning"], [3.350563, "reasoning"], [3.370304, "reasoning"], [3.370329, "reasoning"], [3.370359, "reasoning"], [3.370392, "reasoning"], [3.390101, "reasoning"], [3.390126, "reasoning"], [3.390143, "reasoning"], [3.390186, "reasoning"], [3.410673, "reasoning"], [3.410704, "reasoning"], [3.410727, "reasoning"], [3.410743, "reasoning"], [3.430795, "reasoning"], [3.43082, "reasoning"], [3.430849, "reasoning"], [3.430885, "reasoning"], [3.45014, "reasoning"], [3.450166, "reasoning"], [3.450183, "reasoning"], [3.450224, "reasoning"], [3.469995, "reasoning"], [3.470021, "reasoning"], [3.470049, "reasoning"], [3.485099, "reasoning"], [3.485126, "reasoning"], [3.504665, "reasoning"], [3.504691, "reasoning"], [3.504721, "reasoning"], [3.504753, "reasoning"], [3.516615, "reasoning"], [3.528542, "reasoning"], [3.548998, "reasoning"], [3.549024, "reasoning"], [3.549042, "reasoning"], [3.549077, "reasoning"], [3.568801, "reasoning"], [3.568826, "reasoning"], [3.568844, "reasoning"], [3.568879, "reasoning"], [3.588869, "reasoning"], [3.588895, "reasoning"], [3.588912, "reasoning"], [3.588946, "reasoning"], [3.608913, "reasoning"], [3.608938, "reasoning"], [3.608956, "reasoning"], [3.608986, "reasoning"], [3.624326, "reasoning"], [3.624352, "reasoning"], [3.644445, "reasoning"], [3.659449, "reasoning"], [3.659474, "reasoning"], [3.679195, "reasoning"], [3.67922, "reasoning"], [3.679238, "reasoning"], [3.679272, "reasoning"], [3.699655, "reasoning"], [3.69968, "reasoning"], [3.699698, "reasoning"], [3.699747, "reasoning"], [3.717534, "reasoning"], [3.71756, "reasoning"], [3.737193, "reasoning"], [3.737219, "reasoning"], [3.737236, "reasoning"], [3.737273, "reasoning"], [3.757011, "reasoning"], [3.757036, "reasoning"], [3.757054, "reasoning"], [3.757089, "reasoning"], [3.777663, "reasoning"], [3.777689, "reasoning"], [3.777707, "reasoning"], [3.777745, "reasoning"], [3.79814, "reasoning"], [3.798165, "reasoning"], [3.798183, "reasoning"], [3.798218, "reasoning"], [3.810071, "reasoning"], [3.830601, "reasoning"], [3.83064, "reasoning"], [3.830659, "reasoning"], [3.830699, "reasoning"], [3.850361, "reasoning"], [3.850386, "reasoning"], [3.869819, "reasoning"], [3.869844, "reasoning"], [3.869861, "reasoning"], [3.889391, "reasoning"], [3.889417, "reasoning"], [3.889454, "reasoning"], [3.889491, "reasoning"], [3.909108, "answer"], [3.929763, "answer"], [3.929789, "answer"], [3.929807, "answer"], [3.949409, "answer"], [3.949435, "answer"], [3.949452, "answer"], [3.94949, "answer"], [3.968898, "answer"], [3.968923, "answer"], [3.96894, "answer"], [3.968979, "answer"], [3.988535, "answer"], [3.988561, "answer"], [3.988578, "answer"], [4.008403, "answer"], [4.008428, "answer"], [4.008446, "answer"], [4.008486, "answer"], [4.028918, "answer"], [4.028944, "answer"], [4.028961, "answer"], [4.028998, "answer"], [4.049132, "answer"]]} +{"request_id": "sanity-T1", "phase": "sanity", "case_id": "T1", "request": {"stream": true, "stream_options": {"include_usage": true}, "max_tokens": 2048, "seed": 1, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}, "tool_choice": "auto"}, "messages": [{"role": "user", "content": "[case sanity-T1]\nUse lookup_record to look up record A-17."}], "tools": [{"type": "function", "function": {"name": "lookup_record", "description": "Synthetic benchmark lookup; no external action is performed.", "parameters": {"type": "object", "properties": {"id": {"type": "string"}}, "required": ["id"], "additionalProperties": false}}}], "final_answer": "", "reasoning": "The user wants me to look up record A-17 using the lookup_record tool. This is a simple, straightforward request. I'll make the call.\n", "tool_calls": [{"id": "call_0ae9001dd08a446da3dc4438", "name": "lookup_record", "arguments": "{\"id\":\"A-17\"}"}], "finish_reason": "tool_calls", "usage": {"prompt_tokens": 325, "completion_tokens": 64, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 325, "prompt_ms": 624.0, "prompt_per_token_ms": 1.92, "prompt_per_second": 520.8, "predicted_n": 64, "predicted_ms": 384.6, "predicted_per_token_ms": 6.009, "predicted_per_second": 166.4, "draft_n": 57, "draft_n_accepted": 46}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 1.014816, "first_delta": {"offset_s": 0.641181, "kind": "reasoning"}, "first_answer_offset_s": 0.893484, "client_events": [[0.641181, "reasoning"], [0.660458, "reasoning"], [0.660488, "reasoning"], [0.679217, "reasoning"], [0.679247, "reasoning"], [0.679291, "reasoning"], [0.679331, "reasoning"], [0.698591, "reasoning"], [0.698621, "reasoning"], [0.717427, "reasoning"], [0.717456, "reasoning"], [0.717499, "reasoning"], [0.71754, "reasoning"], [0.736625, "reasoning"], [0.736671, "reasoning"], [0.736709, "reasoning"], [0.736758, "reasoning"], [0.756364, "reasoning"], [0.75639, "reasoning"], [0.775284, "reasoning"], [0.775311, "reasoning"], [0.77534, "reasoning"], [0.775381, "reasoning"], [0.79565, "reasoning"], [0.795676, "reasoning"], [0.795705, "reasoning"], [0.795753, "reasoning"], [0.814869, "reasoning"], [0.814894, "reasoning"], [0.834273, "reasoning"], [0.834299, "reasoning"], [0.834345, "reasoning"], [0.83438, "reasoning"], [0.893484, "tool_call"], [0.893515, "tool_call"], [0.933112, "tool_call"], [0.933141, "tool_call"], [0.933173, "tool_call"], [0.933222, "tool_call"], [0.952792, "tool_call"], [0.952833, "tool_call"], [1.014694, "tool_call"], [1.014722, "tool_call"]]} +{"request_id": "sanity-T2", "phase": "sanity", "case_id": "T2", "request": {"stream": true, "stream_options": {"include_usage": true}, "max_tokens": 2048, "seed": 1, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}, "tool_choice": "auto"}, "messages": [{"role": "user", "content": "[case sanity-T2]\nUse get_weather for Zagreb in celsius."}], "tools": [{"type": "function", "function": {"name": "get_weather", "description": "Synthetic benchmark lookup; no external action is performed.", "parameters": {"type": "object", "properties": {"city": {"type": "string"}, "unit": {"type": "string"}}, "required": ["city", "unit"], "additionalProperties": false}}}], "final_answer": "", "reasoning": "The user wants me to call get_weather for Zagreb in celsius. Simple single call.\n", "tool_calls": [{"id": "call_4e9df55f45b2433e83153572", "name": "get_weather", "arguments": "{\"city\":\"Zagreb\",\"unit\":\"celsius\"}"}], "finish_reason": "tool_calls", "usage": {"prompt_tokens": 335, "completion_tokens": 63, "total_tokens": 398, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 335, "prompt_ms": 271.0, "prompt_per_token_ms": 0.809, "prompt_per_second": 1236.2, "predicted_n": 63, "predicted_ms": 362.4, "predicted_per_token_ms": 5.752, "predicted_per_second": 173.8, "draft_n": 51, "draft_n_accepted": 46}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 0.638215, "first_delta": {"offset_s": 0.286888, "kind": "reasoning"}, "first_answer_offset_s": 0.456959, "client_events": [[0.286888, "reasoning"], [0.306722, "reasoning"], [0.306763, "reasoning"], [0.306803, "reasoning"], [0.327017, "reasoning"], [0.327047, "reasoning"], [0.327091, "reasoning"], [0.347125, "reasoning"], [0.347147, "reasoning"], [0.347197, "reasoning"], [0.366379, "reasoning"], [0.3664, "reasoning"], [0.366447, "reasoning"], [0.366486, "reasoning"], [0.386061, "reasoning"], [0.386087, "reasoning"], [0.397615, "reasoning"], [0.417572, "reasoning"], [0.417598, "reasoning"], [0.41763, "reasoning"], [0.456959, "tool_call"], [0.456991, "tool_call"], [0.497863, "tool_call"], [0.497892, "tool_call"], [0.497912, "tool_call"], [0.516922, "tool_call"], [0.516951, "tool_call"], [0.557596, "tool_call"], [0.557628, "tool_call"], [0.55764, "tool_call"], [0.578058, "tool_call"], [0.578086, "tool_call"], [0.638141, "tool_call"], [0.638174, "tool_call"]]} +{"request_id": "sanity-T3", "phase": "sanity", "case_id": "T3", "request": {"stream": true, "stream_options": {"include_usage": true}, "max_tokens": 2048, "seed": 1, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}, "tool_choice": "auto"}, "messages": [{"role": "user", "content": "[case sanity-T3]\nUse convert_units to convert 3 km to m."}], "tools": [{"type": "function", "function": {"name": "convert_units", "description": "Synthetic benchmark lookup; no external action is performed.", "parameters": {"type": "object", "properties": {"value": {"type": "number"}, "from_unit": {"type": "string"}, "to_unit": {"type": "string"}}, "required": ["value", "from_unit", "to_unit"], "additionalProperties": false}}}], "final_answer": "", "reasoning": "The user wants me to use the convert_units tool to convert 3 km to m.\n", "tool_calls": [{"id": "call_902f70cf0bb34c56a41dac47", "name": "convert_units", "arguments": "{\"to_unit\":\"m\",\"value\":3,\"from_unit\":\"km\"}"}], "finish_reason": "tool_calls", "usage": {"prompt_tokens": 352, "completion_tokens": 73, "total_tokens": 425, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 352, "prompt_ms": 270.1, "prompt_per_token_ms": 0.767, "prompt_per_second": 1303.2, "predicted_n": 73, "predicted_ms": 390.9, "predicted_per_token_ms": 5.355, "predicted_per_second": 186.7, "draft_n": 57, "draft_n_accepted": 53}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 0.665772, "first_delta": {"offset_s": 0.286262, "kind": "reasoning"}, "first_answer_offset_s": 0.444749, "client_events": [[0.286262, "reasoning"], [0.305817, "reasoning"], [0.305847, "reasoning"], [0.305891, "reasoning"], [0.325911, "reasoning"], [0.325941, "reasoning"], [0.325983, "reasoning"], [0.326023, "reasoning"], [0.345416, "reasoning"], [0.345446, "reasoning"], [0.345489, "reasoning"], [0.34553, "reasoning"], [0.36481, "reasoning"], [0.36484, "reasoning"], [0.364905, "reasoning"], [0.364935, "reasoning"], [0.385016, "reasoning"], [0.385042, "reasoning"], [0.385079, "reasoning"], [0.444749, "tool_call"], [0.444779, "tool_call"], [0.483779, "tool_call"], [0.483808, "tool_call"], [0.483829, "tool_call"], [0.545026, "tool_call"], [0.545055, "tool_call"], [0.60561, "tool_call"], [0.605639, "tool_call"], [0.605651, "tool_call"], [0.625723, "tool_call"], [0.6657, "tool_call"], [0.665732, "tool_call"]]} +{"request_id": "sanity-T4", "phase": "sanity", "case_id": "T4", "request": {"stream": true, "stream_options": {"include_usage": true}, "max_tokens": 2048, "seed": 1, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}, "tool_choice": "auto"}, "messages": [{"role": "user", "content": "[case sanity-T4]\nUse get_build_status for project Orion, build 17."}], "tools": [{"type": "function", "function": {"name": "get_build_status", "description": "Synthetic benchmark lookup; no external action is performed.", "parameters": {"type": "object", "properties": {"project": {"type": "string"}, "build": {"type": "integer"}}, "required": ["project", "build"], "additionalProperties": false}}}], "final_answer": "", "reasoning": "The user wants me to call get_build_status for project Orion, build 17. Simple, single call.\n", "tool_calls": [{"id": "call_3d8b80c3f501496fb2e7aef6", "name": "get_build_status", "arguments": "{\"project\":\"Orion\",\"build\":17}"}], "finish_reason": "tool_calls", "usage": {"prompt_tokens": 339, "completion_tokens": 67, "total_tokens": 406, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 339, "prompt_ms": 269.8, "prompt_per_token_ms": 0.796, "prompt_per_second": 1256.5, "predicted_n": 67, "predicted_ms": 382.4, "predicted_per_token_ms": 5.707, "predicted_per_second": 175.2, "draft_n": 54, "draft_n_accepted": 49}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 0.656766, "first_delta": {"offset_s": 0.285447, "kind": "reasoning"}, "first_answer_offset_s": 0.496613, "client_events": [[0.285447, "reasoning"], [0.305512, "reasoning"], [0.305542, "reasoning"], [0.305586, "reasoning"], [0.305629, "reasoning"], [0.325878, "reasoning"], [0.3259, "reasoning"], [0.32595, "reasoning"], [0.325992, "reasoning"], [0.345713, "reasoning"], [0.345742, "reasoning"], [0.345783, "reasoning"], [0.365421, "reasoning"], [0.365443, "reasoning"], [0.365504, "reasoning"], [0.365522, "reasoning"], [0.385297, "reasoning"], [0.385323, "reasoning"], [0.385365, "reasoning"], [0.405904, "reasoning"], [0.417709, "reasoning"], [0.438109, "reasoning"], [0.438134, "reasoning"], [0.438173, "reasoning"], [0.496613, "tool_call"], [0.496643, "tool_call"], [0.516457, "tool_call"], [0.516486, "tool_call"], [0.536064, "tool_call"], [0.536092, "tool_call"], [0.577046, "tool_call"], [0.577077, "tool_call"], [0.656692, "tool_call"], [0.656725, "tool_call"]]} +{"request_id": "concurrency-r1-c1", "phase": "concurrency", "case_id": "short-burst", "request": {"stream": true, "stream_options": {"include_usage": true}, "max_tokens": 512, "seed": 1, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}}, "messages": [{"role": "user", "content": "[case concurrency-r1-c1]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "", "reasoning": "We need answer user: \"Explain how a hash table finds a value, including collisions and one small example. [case concurrency-r1-c1]\" Need likely provide concise explanation. Need maybe note concurrency-r1-c1? Could be case ID maybe not relevant. Need explain hash table find: compute hash(key), index, compare stored key, if collision handle (chaining or open addressing) and probe/check. Example small: hash table size 5, hash(key)=key mod 5, store \"apple\" maybe hash 1; \"banana\" hash? Need collisions: size 5: hash(key) = key % 5 for strings? Too arbitrary. Use integer keys 3 and 8 both hash 0 mod 4. Find 8: hash 8%4=0 bucket 0, compare stored keys; if chain, check 3 then 8. Or with open addressing linear probe: insert 5 into bucket 1 collision, probe next. Need include concurrency? The case concurrency-r1-c1 maybe asks concurrency? But question only hash table finds value. Maybe case ID indicates scenario? Could be from evaluation where need respond maybe with concurrency caveat? \"case concurrency-r1-c1\" might mean they expect mention if concurrent access? It says Explain how a hash table finds a value, including collisions and one small example. We can include short note: if concurrent, need synchronization or concurrent structure; hash function must be deterministic; but basic lookup doesn't depend on concurrency. Since case has concurrency-r1 maybe maybe they want concurrency issue? The prompt explicitly: [case concurrency-r1-c1] Explain... Could be hidden requirement to answer with a specific structure? But no extra. Let's think: It's a simple algorithm explanation. Need final only. Need be thorough but not too long. Include steps: compute hash, reduce to bucket index, access bucket, compare full keys; if collision: chaining traverses linked list/array; open addressing probes sequence until empty or matching key. Example: table size 4, hash(k)=k % 4. Insert 12 -> bucket0; insert 8 -> bucket0 collision -> chain. Lookup 8: hash=0, inspect chain [12,8], matches 8 return value. Mention if not found until null/empty. Also mention load factor? maybe not necessary. Concurrency note optional: Under concurrent reads/writes, lookup needs memory visibility/locks or lock-free concurrent hash table. Since ID concurrency maybe add \"", "tool_calls": [], "finish_reason": "length", "usage": {"prompt_tokens": 78, "completion_tokens": 512, "total_tokens": 590, "prompt_tokens_details": {"cached_tokens": 0}}, "timings": {"cache_n": 0, "prompt_n": 78, "prompt_ms": 130.6, "prompt_per_token_ms": 1.674, "prompt_per_second": 597.2, "predicted_n": 512, "predicted_ms": 6889.3, "predicted_per_token_ms": 13.456, "predicted_per_second": 74.3, "draft_n": 0, "draft_n_accepted": 0}, "error": null, "http_status": 200, "dispatch_offset_s": 0.0, "end_offset_s": 7.030523, "first_delta": {"offset_s": 0.147932, "kind": "reasoning"}, "first_answer_offset_s": null, "client_events": [[0.147932, "reasoning"], [0.163319, "reasoning"], [0.193866, "reasoning"], [0.682116, "reasoning"], [0.694328, "reasoning"], [0.70671, "reasoning"], [0.719186, "reasoning"], [0.731738, "reasoning"], [0.744319, "reasoning"], [0.756936, "reasoning"], [0.769495, "reasoning"], [0.782116, "reasoning"], [0.794713, "reasoning"], 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[1.313062, "reasoning"], [1.325713, "reasoning"], [1.338379, "reasoning"], [1.351043, "reasoning"], [1.363743, "reasoning"], [1.376388, "reasoning"], [1.389065, "reasoning"], [1.401721, "reasoning"], [1.41442, "reasoning"], [1.427089, "reasoning"], [1.439763, "reasoning"], [1.452422, "reasoning"], [1.465118, "reasoning"], [1.477764, "reasoning"], [1.490438, "reasoning"], [1.503123, "reasoning"], [1.515865, "reasoning"], [1.528555, "reasoning"], [1.541266, "reasoning"], [1.554065, "reasoning"], [1.567102, "reasoning"], [1.580236, "reasoning"], [1.593282, "reasoning"], [1.606287, "reasoning"], [1.619266, "reasoning"], [1.632117, "reasoning"], [1.644937, "reasoning"], [1.657738, "reasoning"], [1.670544, "reasoning"], [1.683257, "reasoning"], [1.695957, "reasoning"], [1.708662, "reasoning"], [1.721429, "reasoning"], [1.734116, "reasoning"], [1.746776, "reasoning"], [1.759451, "reasoning"], [1.772182, "reasoning"], [1.784832, "reasoning"], [1.797512, "reasoning"], [1.810192, "reasoning"], 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table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table finds a value using the key’s hash code:\n\n1. **Hash the key**: Compute a hash value from the key, e.g. `hash(key)`.\n2. **Map to a bucket**: Use the hash to choose a bucket, often `hash(key) % bucket_count`.\n3. **Search the bucket**: Compare the target key with keys stored in that bucket.\n4. **Return the value**: If the key matches, return the associated value.\n\n**Collisions** occur when two keys hash to the same bucket. Common solutions:\n- **Separate chaining**: each bucket stores a linked list or array of key/value pairs.\n- **Open addressing**: if a bucket is occupied, probe another bucket until an empty one is found.\n\n**Small example**:\n\nInsert:\n```text\nput(\"apple\", 1)\nput(\"banana\", 2)\nput(\"orange\", 3)\n```\n\nAssume `\"apple\"` and `\"orange\"` both hash to bucket 2.\n\nBucket 2:\n```text\n(\"apple\", 1) -> (\"orange\", 3)\n```\n\nLookup:\n```text\nget(\"orange\")\n```\n\nThe table hashes `\"orange\"` to bucket 2, then compares the keys in that bucket:\n- `\"apple\"` ≠ `\"orange\"`\n- `\"orange\"` = `\"orange\"`\n\nReturns:\n```text\n3\n```", "reasoning": "We need answer user: \"Explain how a hash table finds a value, including collisions and one small example.\n\nNeed provide concise but clear. Maybe mention hash function, bucket, compare key, collisions chaining/open addressing, probe/linked list. Small example. No need overly complex. Ensure case concurrency-r1-c2? Maybe maybe expects something about concurrency? The label case concurrency-r1-c2 perhaps from eval? Could require mention thread safety? User specifically asks hash table finds value, collisions example. We can include note that standard lookup needs synchronization in concurrent environments? But not requested. Maybe include small example. 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"seed": 3, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}}, "messages": [{"role": "user", "content": "[case concurrency-r1-c3]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table stores key-value pairs by using a hash function to map a key to an array index.\n\n### How lookup works\n\n1. **Hash the key** \n The key is passed to a hash function, producing an integer.\n\n2. **Find the bucket/index** \n That integer is reduced to an array index, usually with modulo:\n \\[\n index = hash(key) \\mod tableSize\n \\]\n\n3. **Go to that index** \n The table looks at the bucket at that index.\n\n4. **Compare keys** \n If the bucket contains a stored key, the table compares it with the requested key. If the keys match, it returns the associated value.\n\n### Collisions\n\nA collision happens when two different keys produce the same index.\n\nCommon solutions:\n\n- **Separate chaining**: each bucket stores multiple entries, often in a linked list or array.\n- **Open addressing**: if a bucket is full, the table searches for the next available slot using a probe sequence.\n\n### Small example\n\nSuppose we have a hash table of size 3 and use a simple hash:\n\n```text\nhash(\"apple\") % 3 = 0\nhash(\"banana\") % 3 = 1\nhash(\"cherry\") % 3 = 0\n```\n\nInserting:\n\n```text\nindex 0: (\"apple\", 1)\nindex 1: (\"banana\", 2)\n```\n\nNow insert `(\"cherry\", 3)`. Its hash is also 0, causing a collision.\n\nUsing separate chaining:\n\n```text\nindex 0: (\"apple\", 1) -> (\"cherry\", 3)\nindex 1: (\"banana\", 2)\n```\n\nNow, to find `\"cherry\"`:\n\n1. Hash `\"cherry\"` → index 0\n2. Go to index 0\n3. Check `\"apple\"` → not a match\n4. Check `\"cherry\"` → match\n5. 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To find a value, it follows these steps:\n\n1. **Hash the key** \n The table applies a hash function to the key to compute an index, or bucket, in the array.\n\n2. **Go to that bucket** \n The computed index tells the hash table where the value might be stored.\n\n3. **Check the entry or entries in the bucket** \n - If the bucket contains a key equal to the searched key, the table returns the associated value.\n - If the bucket contains multiple keys, it compares them until it finds a match.\n - If no match is found, the key is not present.\n\n## Handling collisions\n\nA collision happens when two different keys hash to the same bucket.\n\nCommon solutions:\n\n- **Separate chaining:** each bucket holds a list of key-value pairs. The table searches the list for the matching key.\n- **Open addressing:** if the desired bucket is occupied, the table looks for another empty slot according to a probing rule, such as linear probing or quadratic probing.\n\n## Small example\n\nSuppose a hash table has 4 buckets: `[0, 1, 2, 3]`.\n\nWe store:\n\n```text\nput(\"apple\", 10)\nput(\"banana\", 20)\nput(\"cherry\", 30)\n```\n\nAssume the hash function produces:\n\n```text\nhash(\"apple\") % 4 = 1\nhash(\"banana\") % 4 = 1\nhash(\"cherry\") % 4 = 3\n```\n\nWith chaining, the buckets look like:\n\n```text\nbucket 0: empty\nbucket 1: (\"apple\", 10) -> (\"banana\", 20)\nbucket 2: empty\nbucket 3: (\"cherry\", 30)\n```\n\nTo find", "reasoning": "We need to answer user's request: \"[case concurrency-r1-c4]\nExplain how a hash table finds a value, including collisions and one small example.\"\n\nNeed produce final answer. Need likely no complex. User wants explanation. Could mention steps: hash key to bucket, check entries, collisions handled by chaining or open addressing. Small example. Need likely concise. Also tag case? Maybe ignore? Ensure no concurrency mention? Case concurrency-r1-c4 maybe just benchmark id. 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how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table finds a value by using the **key** to compute an index into an array-like table.\n\nSteps:\n\n1. **Hash the key**\n - Apply a hash function to the key to get an integer.\n\n2. **Map to a bucket/index**\n - Convert that integer into a valid table index, often using:\n ```text\n index = hash(key) % table_size\n ```\n\n3. **Look in that bucket**\n - Go directly to that index.\n\n4. **Compare keys**\n - If the bucket contains stored keys, compare them with the search key until one matches, then return its value.\n\n## Collisions\n\nA **collision** happens when two different keys hash to the same index.\n\nCommon handling methods:\n\n- **Separ", "reasoning": "We need answer user: \"Explain how a hash table finds a value, including collisions and one small example. Need produce final answer concise but thorough. Ensure mention hashing key to bucket/index, probing chaining, collisions when multiple keys same index, handle via separate chaining/open addressing, lookup follows bucket and compares keys. Small example: hash function sum chars mod 5 or mod table size. Keys \"cat\", \"dog\" collision? Need show. Could use table size 7, hash(key)= (first letter code mod 7?) Simpler: hash(key)=len(key) mod 5? collisions maybe. Or hash(\"cat\")=3? Need show value retrieval. Example: table size 5, hash(k)= (first character index?) Let's design simple deterministic. Use mod 3 maybe.\n\nLet's craft final: Steps: compute hash code, map to array index, access bucket, compare keys, return value. Collisions: different keys same index; separate chaining stores linked list/array per bucket; open addressing searches neighboring slots. Example table size 5 hash(k)= (sum chars) mod 5. \"cat\" c=3,a=1,t=20 sum 24 mod5=4. \"act\" sum 24 also index4 collision. Store chain at index4 [cat -> value A, act -> value B]. Find \"act\": hash to 4, walk chain compare keys, match act return B. Find missing: hash to 4 compare none return null. Need maybe mention performance average O(1), worst O(n) if many collisions, load factor/rehash.\n\nNeed final with headings? 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"user", "content": "[case concurrency-r2-c2]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table finds a value by turning the key into an array index and then checking the slot at that index.\n\n1. **Hash the key**: The hash table applies a hash function to the key, producing a number.\n Example: `hash(\"apple\")` might produce `1024`.\n\n2. **Convert to an index**: It usually uses the remainder when divided by the table size.\n Example: table size = 10 \n `1024 % 10 = 4` \n So it checks bucket 4.\n\n3. **Look in the bucket**: If the bucket contains an entry with the same key, it returns the associated value. If not, the key is not present, unless there are collisions.\n\n**Collisions** happen when two different keys hash to the same index.\n\nCommon handling methods:\n- **Chaining**: Each bucket stores a list of key/value pairs. On lookup, it searches the list for the exact key.\n- **Open addressing**: If a bucket is taken, the table searches for the next available slot using a probe sequence.\n\n**Small example using chaining**:\n\nTable size = 5\n\n```text\ninsert(\"cat\", 10) -> hash = 3\ninsert(\"dog\", 20) -> hash = 3 collision\ninsert(\"bat\", 30) -> hash = 3 collision\n```\n\nBucket 3 might store:\n\n```text\ncat: 10 -> dog: 20 -> bat: 30\n```\n\nTo find `\"dog\"`:\n\n1. Hash `\"dog\"` to index 3.\n2. Check bucket 3.\n3. Compare `\"dog\"` with stored keys.\n4. Return `20`.", "reasoning": "We need answer user: \"Explain how a hash table finds a value, including collisions and one small example.\" Need produce final. Keep concise but thorough. Include hashing key to index, look at bucket, compare keys, collision handling maybe chaining/open addressing. Small example. Also maybe case concurrency-r2-c2? Irrelevant maybe a case label. Need answer no concurrency? Could mention if concurrent then locks, but request likely basic hash table. Don't overcomplicate. 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{"include_usage": true}, "max_tokens": 512, "seed": 7, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}}, "messages": [{"role": "user", "content": "[case concurrency-r2-c3]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table stores key-value pairs and finds a value using the key.\n\n1. **Hash the key**: The hash table applies a hash function to the key to produce an integer.\n ```text\n index = hash(key) % number_of_buckets\n ```\n This index tells the hash table which bucket to look in.\n\n2. **Go to the bucket**: The hash table jumps directly to that bucket, usually in O(1) average time.\n\n3. **Find the value in the bucket**:\n - If there is no collision, the bucket contains the value directly.\n - If multiple keys hash to the same bucket, the table checks the keys in that bucket until it finds the matching key, then returns its value.\n\n## Collisions\n\nA **collision** happens when two different keys produce the same index.\n\nExample:\n\n```text\nhash(\"apple\") % 4 = 2\nhash(\"banana\") % 4 = 2\n```\n\nBoth `\"apple\"` and `\"banana\"` go to bucket 2.\n\nA common collision strategy is **chaining**, where each bucket stores a small list of entries.\n\n### Small example\n\nBucket structure:\n\n```text\n0: []\n1: []\n2: [(\"apple\", 10), (\"banana\", 20)]\n3: []\n```\n\nTo find the value for `\"banana\"`:\n\n1. Compute the bucket index:\n ```text\n hash(\"banana\") % 4 = 2\n ```\n\n2. Look in bucket 2.\n\n3. Check the entries in bucket 2:\n - key `\"apple\"` does not match.\n - key `\"banana\"` matches.\n\n4. Return the associated value:\n ```text\n 20\n ```\n\nSo a hash table finds a value by hashing the key to an index, checking the appropriate bucket, and resolving collisions if multiple keys map to the same bucket.", "reasoning": "We need answer user: \"Explain how a hash table finds a value, including collisions and one small example.\" We need respond final with explanation. Need be clear. Mention hashing key to index, array bucket, find value. Collisions handled chaining/open addressing. Small example maybe keys 'apple','banana','cherry' with simple hash length? Need include collisions. 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"short-burst", "request": {"stream": true, "stream_options": {"include_usage": true}, "max_tokens": 512, "seed": 8, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}}, "messages": [{"role": "user", "content": "[case concurrency-r2-c4]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table finds a value by using the key to compute a bucket index, then searching only that bucket for the key.\n\n1. **Compute a hash**: The key is passed through a hash function to produce an integer.\n2. **Map to a bucket**: That integer is converted to a table index, usually with `hash(key) % table_size`.\n3. **Check the bucket**: The table looks in that bucket for a matching key.\n4. **Return the value**: If the key is found, return its value. If not found, report that the key is absent.\n\n### Collisions\n\nTwo different keys can produce the same bucket index. This is a **collision**.\n\nCommon collision strategies:\n\n- **Separate chaining**: Each bucket stores a linked list, array, or other container of key-value pairs.\n- **Open addressing**: If the bucket is occupied, the table probes for another slot, such as the next bucket.\n\n### Small example\n\nTable size = 7, hash function = `key % 7`\n\nInsert:\n\n```text\n25 -> hash = 25 % 7 = 4\n11 -> hash = 11 % 7 = ", "reasoning": "We need answer user: \"[case concurrency-r2-c4]\nExplain how a hash table finds a value, including collisions and one small example.\"\n\nNeed produce final answer. Need maybe consider concurrency tag? case concurrency-r2-c4 maybe perhaps test case for concurrency? The request just asks explain hash table finds value, including collisions and example. Maybe need mention concurrency? Tag says concurrency-r2-c4. Could be from benchmark expecting answer maybe with concurrency concerns? We can include note about concurrent access. But main is hash table lookup.\n\nNeed concise but thorough. Explain hashing key to index, bucket, compare keys, collisions (same hash) handled via chaining or open addressing, lookup traverses/probes until key found or empty/sentinel. Example: table size 7, hash(k)=k%7, keys 25, 11 collide? 25%7=4, 11%7=4. Use chaining. Get 11: hash 11=4, bucket contains 25 then 11, compare found. Include concurrency note: without synchronization concurrent inserts/deletes/rehash can cause incorrect reads; use concurrent data structure/locks.\n\nNeed maybe mention load factor/rehash. 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an index:\n\n1. **Hash the key**: Compute a hash code from the key, e.g. `hash(\"name\")`.\n2. **Map to a bucket**: Convert the hash into an array index, often `hash % table_size`.\n3. **Look up the bucket**: Check the value stored there.\n\n**Collisions** happen when two different keys hash to the same index. Common fixes:\n\n- **Separate chaining**: each bucket stores a small list of key-value pairs.\n- **Open addressing**: if the slot is full, probe for another slot.\n\n**Small example:**\n\nTable size = 5\n\n- Insert `\"apple\"` → hash gives index 2 → store at bucket 2\n- Insert `\"banana\"` → hash also gives index 2 → collision\n\nWith chaining, bucket 2 becomes:\n\n```text\nbucket 2: (\"apple\" -> 5), (\"banana\" -> 10)\n```\n\nTo find `\"banana\"`, hash it to bucket 2, then search the bucket’s list until the key matches.", "reasoning": "We need answer user: \"Explain how a hash table finds a value, including collisions and one small example.\n\nNeed produce final explanation concise. Include hashing key to index, bucket, direct array lookup, collisions (separate chaining/open addressing), example. Need likely not overdo. 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"answer"], [4.38633, "answer"]]} +{"request_id": "concurrency-r3-c2", "phase": "concurrency", "case_id": "short-burst", "request": {"stream": true, "stream_options": {"include_usage": true}, "max_tokens": 512, "seed": 10, "temperature": 1.0, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "reasoning_effort": "xhigh", "reasoning_budget_tokens": 0, "chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}}, "messages": [{"role": "user", "content": "[case concurrency-r3-c2]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "", "reasoning": "We need answer user: \"[case concurrency-r3-c2]\nExplain how a hash table finds a value, including collisions and one small example.\"\n\nNeed produce final answer. Need likely address concurrency? The tag case concurrency-r3-c2 maybe hidden? User asks explain hash table finds a value, including collisions and example. Might need mention concurrency? The case tag maybe indicates context? Could be from some evaluation requiring concise? Need maybe mention thread safety? Let's parse: \"[case concurrency-r3-c2] Explain how a hash table finds a value, including collisions and one small example.\" Maybe they expect answer for hash table lookup under concurrency? Could include that normal hash table isn't thread-safe, concurrent hash table needed. But prompt says \"including collisions and one small example\" not explicitly concurrency. Tag concurrency-r3-c2 suggests maybe test case category concurrency; maybe need explain while being careful about concurrency? The instruction \"Explain how a hash table finds a value\" could require mention lock-free/concurrent safe? Let's think.\n\nNeed final maybe: A hash table maps keys to values. To find, hash key to bucket index; go to bucket; if direct chaining, scan entries in bucket comparing keys; if open addressing, probe sequence until empty/sentinel or match. Collisions happen when different keys hash to same index; handled by chaining, open addressing, robin hood etc. If concurrent, lookups can be concurrent but updates require synchronization; readers may need locks/atomic reads/volatile/immutable snapshots; avoid data races. Example: table size 7, hash(k)=k mod 7. Put 5 in bucket 5; put 12 -> bucket 5 collision. With chaining bucket 5 has [5->V5, 12->V12]. Find 12: hash=5, traverse list compare 5 != 12 then 12 == 12 return V12.\n\nNeed possibly include if using concurrent: in a concurrent hash table, lookup may traverse bucket without lock if structure safe; but insertion can resize causing concurrent readers to handle old buckets. But user didn't ask. Tag maybe should include. Need not overdo.\n\nNeed ensure answer addresses \"how finds a value\" step by step. Could mention hash function deterministic, equality. 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"chat_template_kwargs": {"enable_thinking": true, "preserve_thinking": true}}, "messages": [{"role": "user", "content": "[case concurrency-r3-c3]\nExplain how a hash table finds a value, including collisions and one small example."}], "tools": null, "final_answer": "A hash table finds a value in a few steps:\n\n1. **Hash the key**\n - The key is passed through a hash function to produce a numeric hash code.\n - Example: `hash(\"apple\") → 17`.\n\n2. **Choose a bucket**\n - The hash code is mapped to an array index, often using something like `index = hash_code % array_length`.\n - Example: with 10 buckets, `17 % 10 = 7`, so look in bucket 7.\n\n3. **Search the bucket**\n - If the bucket contains exactly the key, return the associated value.\n - If not, handle collisions.\n\n**Collisions** happen when two different keys hash to the same bucket.\n\nCommon ways to handle them:\n\n- **Separate chaining**\n - Each bucket holds a list of key/value pairs.\n - To find a value, search that list and compare keys directly.\n - Example: both `\"apple\"` and `\"banana\"` hash to bucket 7.\n - Bucket 7: `[(\"apple\", 1), (\"banana\", 2)]", "reasoning": "We need answer user: \"[case concurrency-r3-c3]\nExplain how a hash table finds a value, including collisions and one small example.\"\n\nNeed produce final answer. Need maybe consider concurrency tag? case concurrency-r3-c3 maybe asks explain hash table finds value, collisions, example. Could include concurrency? Title concurrency maybe case concurrency? User only asks explain hash table finds value including collisions and one small example. Need concise but thorough. Could mention lock/sharding if concurrent? The bracket [case concurrency-r3-c3] might be a benchmark id, not necessarily require concurrency. But maybe should address concurrency: if multiple threads, need synchronization (mutex/read-write locks or concurrent map). But prompt asks explain how hash table finds a value, including collisions and small example. Let's craft clear: hash key -> bucket index via hash function modulo bucket array. Look up bucket. If separate chaining collision, traverse linked list/equality compare key. If open addressing, probe sequence. Small example: keys \"apple\" hash=..., bucket 3; insert \"banana\" collides same bucket; lookup \"banana\" hash to bucket 3, compare nodes, matches. Maybe concurrency: in multithreaded, lock bucket/map during resize etc. Need ensure no overcomplication. 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To find a value:\n\n1. Take the key.\n2. Apply a hash function to compute an array index.\n3. Go to that index’s bucket.\n4. Check stored entries for the requested key.\n5. If the key matches, return its value.\n\nCollisions happen when two keys hash to the same index.\n\nCommon collision handling:\n- Separate chaining: each bucket stores multiple entries, often in a small list.\n- Open addressing: if the bucket is taken, try the next slot using a probe sequence.\n\nExample:\n- Hash table size: 5\n- Hash function: `key % 5`\n- Insert `10 → \"apple\"`: `10 % 5 = 0`\n- Insert `15 → \"banana\"`: `15 % 5 = 0`, collision at index 0\n\nIf using separate chaining, index 0 holds both pairs:\n`[0] -> (10, \"apple\") -> (15, \"banana\")`\n\nTo find `15`:\n- Hash: `15 % 5 = 0`\n- Check index 0 entries\n- Match key `15`, return `\"banana\"`\n\nIf the hash table is shared across threads, access must be synchronized or use a thread-safe concurrent hash table.", "reasoning": "We need answer user: \"Explain how a hash table finds a value, including collisions and one small example. [case concurrency-r3-c4]\". Need likely include concurrency? The tag says case concurrency-r3-c4 maybe from benchmark. Need answer probably mention thread safety? User asks hash table finds value, including collisions and example. Could include concurrency caveat? Need maybe concise. Need final. Need ensure maybe if concurrency tag, mention if shared across threads use locks/concurrent structure. Need no code? Small example. Let's craft clear explanation: hash key to index, array bucket, compare key; collisions: open addressing or separate chaining; lookup follows same path. Example: table size 5, hash(k)=k mod5. Insert 10->idx0, 15 chain/open add next. Find 15 hash=0 then check chain until key match. Concurrency: need synchronization. Need maybe note value found by hash key not value. Ensure answer covers collisions and small example. 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b/bench/results/2026-11-08-standard-4x-rtx-3090-eb4f9649/provenance/chat_template.jinja new file mode 100644 index 00000000000..a0877006589 --- /dev/null +++ b/bench/results/2026-11-08-standard-4x-rtx-3090-eb4f9649/provenance/chat_template.jinja @@ -0,0 +1,184 @@ +{%- set image_count = namespace(value=0) %} +{%- set video_count = namespace(value=0) %} +{%- macro render_content(content, do_vision_count, is_system_content=false) %} + {%- if content is string %} + {{- content }} + {%- elif content is iterable and content is not mapping %} + {%- for item in content %} + {%- if 'image' in item or 'image_url' in item or item.type == 'image' %} + {%- if is_system_content %} + {{- raise_exception('System message cannot contain images.') }} + {%- endif %} + {%- if do_vision_count %} + {%- set image_count.value = image_count.value + 1 %} + {%- endif %} + {%- if add_vision_id %} + {{- 'Picture ' ~ image_count.value ~ ': ' }} + {%- endif %} + {{- '<|vision_start|><|image_pad|><|vision_end|>' }} + {%- elif 'video' in item or item.type == 'video' %} + {%- if is_system_content %} + {{- raise_exception('System message cannot contain videos.') }} + {%- endif %} + {%- if do_vision_count %} + {%- set video_count.value = video_count.value + 1 %} + {%- endif %} + {%- if add_vision_id %} + {{- 'Video ' ~ video_count.value ~ ': ' }} + {%- endif %} + {{- '<|vision_start|><|video_pad|><|vision_end|>' }} + {%- elif 'text' in item %} + {{- item.text }} + {%- else %} + {{- raise_exception('Unexpected item type in content.') }} + {%- endif %} + {%- endfor %} + {%- elif content is none or content is undefined %} + {{- '' }} + {%- else %} + {{- raise_exception('Unexpected content type.') }} + {%- endif %} +{%- endmacro %} +{%- if not messages %} + {{- raise_exception('No messages provided.') }} +{%- endif %} +{%- set sysns = namespace(count=0, text='') %} +{%- for message in messages %} + {%- if sysns.count == loop.index0 and (message.role == 'system' or message.role == 'developer') %} + {%- set sys_content = render_content(message.content, false, true)|trim %} + {%- if sys_content %} + {%- set sysns.text = sysns.text + ('\n' if sysns.text else '') + sys_content %} + {%- endif %} + {%- set sysns.count = sysns.count + 1 %} + {%- endif %} +{%- endfor %} +{%- set num_sys = sysns.count %} +{%- set merged_system = sysns.text %} +{%- set reasoning_instructions = '' %} +{%- if enable_thinking is undefined or enable_thinking is true %} + {%- set resolved_reasoning_effort = reasoning_effort|default('xhigh') %} + {%- if resolved_reasoning_effort == 'high' %} + {%- set resolved_reasoning_effort = 'xhigh' %} + {%- endif %} + {%- if resolved_reasoning_effort not in ('xhigh', 'medium', 'low') %} + {{- raise_exception('Unexpected reasoning effort ' ~ reasoning_effort ~ '. Supported types are xhigh (default), medium, and low.') }} + {%- endif %} + {%- if resolved_reasoning_effort == 'xhigh' %} + {%- set reasoning_instructions = 'Reasoning effort is set to xhigh. Please think carefully through the task, validate key assumptions, consider plausible alternatives, and prioritize correctness, consistency, and clarity in the final answer.' %} + {%- elif resolved_reasoning_effort == 'low' %} + {%- set reasoning_instructions = 'Reasoning effort is set to low. Keep your thinking brief and focused, moving directly to the conclusion without unnecessary elaboration.' %} + {%- endif %} +{%- endif %} +{%- if tools and tools is iterable and tools is not mapping %} + {{- '<|im_start|>system\n' }} + {%- if reasoning_instructions %} + {{- reasoning_instructions + '\n\n' }} + {%- endif %} + {{- "# Tools\n\nYou have access to the following functions:\n\n" }} + {%- for tool in tools %} + {{- "\n" }} + {{- tool | tojson }} + {%- endfor %} + {{- "\n" }} + {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n\n\n\nvalue_1\n\n\nThis is the value for the second parameter\nthat can span\nmultiple lines\n\n\n\n\n\nReminder:\n- Function calls MUST follow the specified format: an inner block must be nested within XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n' }} + {%- if merged_system %} + {{- '\n\n' + merged_system }} + {%- endif %} + {{- '<|im_end|>\n' }} +{%- else %} + {%- if merged_system %} + {{- '<|im_start|>system\n' + (reasoning_instructions + '\n\n' if reasoning_instructions else '') + merged_system + '<|im_end|>\n' }} + {%- elif reasoning_instructions %} + {{- '<|im_start|>system\n' + reasoning_instructions + '<|im_end|>\n' }} + {%- endif %} +{%- endif %} +{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %} +{%- for message in messages[::-1] %} + {%- set index = (messages|length - 1) - loop.index0 %} + {%- if ns.multi_step_tool and message.role == "user" %} + {%- set content = render_content(message.content, false)|trim %} + {%- if not(content.startswith('') and content.endswith('')) %} + {%- set ns.multi_step_tool = false %} + {%- set ns.last_query_index = index %} + {%- endif %} + {%- endif %} +{%- endfor %} +{%- for message in messages %} + {%- if loop.index0 >= num_sys %} + {%- set content = render_content(message.content, true)|trim %} + {%- if message.role == "system" or message.role == "developer" %} + {{- raise_exception('System message must be at the beginning.') }} + {%- elif message.role == "user" %} + {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }} + {%- elif message.role == "assistant" %} + {%- set reasoning_content = '' %} + {%- if message.reasoning_content is string %} + {%- set reasoning_content = message.reasoning_content %} + {%- endif %} + {%- set reasoning_content = reasoning_content|trim %} + {%- if preserve_thinking is undefined or preserve_thinking is true or loop.index0 > ns.last_query_index %} + {{- '<|im_start|>' + message.role + '\n\n' + reasoning_content + '\n\n\n' + content }} + {%- else %} + {{- '<|im_start|>' + message.role + '\n' + content }} + {%- endif %} + {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %} + {%- for tool_call in message.tool_calls %} + {%- if tool_call.function is defined %} + {%- set tool_call = tool_call.function %} + {%- endif %} + {%- if tool_call.name is not defined or tool_call.name is none %} + {{- raise_exception('Tool call is missing a function name.') }} + {%- endif %} + {%- if loop.first %} + {%- if content|trim %} + {{- '\n\n\n\n' }} + {%- else %} + {{- '\n\n' }} + {%- endif %} + {%- else %} + {{- '\n\n\n' }} + {%- endif %} + {%- if tool_call.arguments is mapping %} + {%- for args_name, args_value in tool_call.arguments|items %} + {{- '\n' }} + {%- set args_value = args_value | string if args_value is string else args_value | tojson | safe %} + {{- args_value }} + {{- '\n\n' }} + {%- endfor %} + {%- elif tool_call.arguments is string %} + {%- if tool_call.arguments|trim %} + {{- raise_exception('Tool call arguments for function "' + (tool_call.name | string) + '" were passed as a JSON string. Parse them into an object before calling apply_chat_template.') }} + {%- endif %} + {%- elif tool_call.arguments is defined and tool_call.arguments is not none %} + {{- raise_exception('Tool call arguments for function "' + (tool_call.name | string) + '" must be an object/mapping or a JSON string.') }} + {%- endif %} + {{- '\n' }} + {%- endfor %} + {%- endif %} + {{- '<|im_end|>\n' }} + {%- elif message.role == "tool" %} + {%- if loop.previtem and loop.previtem.role != "tool" %} + {{- '<|im_start|>user' }} + {%- endif %} + {{- '\n\n' }} + {{- content }} + {{- '\n' }} + {%- if not loop.last and loop.nextitem.role != "tool" %} + {{- '<|im_end|>\n' }} + {%- elif loop.last %} + {{- '<|im_end|>\n' }} + {%- endif %} + {%- else %} + {{- raise_exception('Unexpected message role.') }} + {%- endif %} + {%- endif %} +{%- endfor %} +{%- if add_generation_prompt %} + {{- '<|im_start|>assistant\n' }} + {%- if enable_thinking is defined and enable_thinking is false %} + {{- '\n\n\n\n' }} + {%- else %} + {{- '\n' }} + {%- endif %} +{%- endif %} +{#- Unsloth fixes - developer role, merged system messages, tool calling #} \ No newline at end of file diff --git a/bench/results/2026-11-08-standard-4x-rtx-3090-eb4f9649/provenance/corpus-build.json b/bench/results/2026-11-08-standard-4x-rtx-3090-eb4f9649/provenance/corpus-build.json new file mode 100644 index 00000000000..472565694c2 --- /dev/null +++ b/bench/results/2026-11-08-standard-4x-rtx-3090-eb4f9649/provenance/corpus-build.json @@ -0,0 +1,206 @@ +{ + "protocol_id": "strata-qwen38-thinking-v1-draft.1", + "bundle": "standard-v1", + "profile": "qwen3.8-flash-next-thinking", + "tokenizer_files": { + "vocab.json": "4ba64f0332abcfb0b600b7df1537d1e836e68009d5fb7cdb77339738dc6365c4", + "merges.txt": "080cf95432173729d160346b7882bd2a644b07f7a3813a3eb73f4e66787bfde9", + "token_type.json": "5088c8c298fc06af8382ddb3b76c888703ac2634e82263b97eedcc2ad202738b" + }, + "template": { + "path": "serve/chat_template.jinja", + "sha256": "ae9644304511ef71f28e036b6f65b4c709880bc5a23b7d0b42125ec63a8c70ca" + }, + "template_kwargs": { + "enable_thinking": true, + "preserve_thinking": true, + "reasoning_effort": "xhigh" + }, + "record_format": "record{:06d}: alpha beta gamma delta epsilon zeta eta theta.", + "short_task": "Explain how a hash table finds a value, including collisions and one small example.", + "summary_question": "Summarize the structure of these records and explain how to look up a record by its ID.", + "record_counts": { + "prompt-4k": { + "records": 211, + "target_tokens": 4096 + }, + "prompt-16k": { + "records": 858, + "target_tokens": 16384 + } + }, + "length_tolerance": 0.02, + "requests": [ + { + "id": "warmup", + "input_tokens": 75, + "max_shared_prefix_tokens": 47 + }, + { + "id": "performance-short-r1", + "input_tokens": 77, + "max_shared_prefix_tokens": 50 + }, + { + "id": "performance-prompt-4k-r1", + "input_tokens": 4093, + "max_shared_prefix_tokens": 54 + }, + { + "id": "performance-prompt-16k-r1", + "input_tokens": 16387, + "max_shared_prefix_tokens": 55 + }, + { + "id": "performance-short-r2", + "input_tokens": 77, + "max_shared_prefix_tokens": 50 + }, + { + "id": "performance-prompt-4k-r2", + "input_tokens": 4093, + "max_shared_prefix_tokens": 54 + }, + { + "id": "performance-prompt-16k-r2", + "input_tokens": 16387, + "max_shared_prefix_tokens": 55 + }, + { + "id": "performance-short-r3", + "input_tokens": 77, + "max_shared_prefix_tokens": 50 + }, + { + "id": "performance-prompt-4k-r3", + "input_tokens": 4093, + "max_shared_prefix_tokens": 54 + }, + { + "id": "performance-prompt-16k-r3", + "input_tokens": 16387, + "max_shared_prefix_tokens": 55 + }, + { + "id": "sanity-I1", + "input_tokens": 82, + "max_shared_prefix_tokens": 49 + }, + { + "id": "sanity-I2", + "input_tokens": 90, + "max_shared_prefix_tokens": 49 + }, + { + "id": "sanity-I3", + "input_tokens": 85, + "max_shared_prefix_tokens": 49 + }, + { + "id": "sanity-I4", + "input_tokens": 71, + "max_shared_prefix_tokens": 49 + }, + { + "id": "sanity-R1", + "input_tokens": 4089, + "max_shared_prefix_tokens": 49 + }, + { + "id": "sanity-R2", + "input_tokens": 4089, + "max_shared_prefix_tokens": 49 + }, + { + "id": "sanity-R3", + "input_tokens": 16382, + "max_shared_prefix_tokens": 49 + }, + { + "id": "sanity-R4", + "input_tokens": 16390, + "max_shared_prefix_tokens": 49 + }, + { + "id": "sanity-T1", + "input_tokens": 325, + "max_shared_prefix_tokens": 61 + }, + { + "id": "sanity-T2", + "input_tokens": 335, + "max_shared_prefix_tokens": 62 + }, + { + "id": "sanity-T3", + "input_tokens": 352, + "max_shared_prefix_tokens": 61 + }, + { + "id": "sanity-T4", + "input_tokens": 339, + "max_shared_prefix_tokens": 62 + }, + { + "id": "concurrency-r1-c1", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + }, + { + "id": "concurrency-r1-c2", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + }, + { + "id": "concurrency-r1-c3", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + }, + { + "id": "concurrency-r1-c4", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + }, + { + "id": "concurrency-r2-c1", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + }, + { + "id": "concurrency-r2-c2", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + }, + { + "id": "concurrency-r2-c3", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + }, + { + "id": "concurrency-r2-c4", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + }, + { + "id": "concurrency-r3-c1", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + }, + { + "id": "concurrency-r3-c2", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + }, + { + "id": "concurrency-r3-c3", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + }, + { + "id": "concurrency-r3-c4", + "input_tokens": 78, + "max_shared_prefix_tokens": 51 + } + ], + "note": "input_tokens counts the rendered thinking request with the generation prompt. max_shared_prefix_tokens is the longest token prefix this request shares with any other request of the bundle: cache reuse above it means the user payload was read from the cache." +} diff --git a/bench/results/2026-11-08-standard-4x-rtx-3090-eb4f9649/provenance/corpus-manifest.sha256 b/bench/results/2026-11-08-standard-4x-rtx-3090-eb4f9649/provenance/corpus-manifest.sha256 new file mode 100644 index 00000000000..3c6046bc54c --- /dev/null +++ b/bench/results/2026-11-08-standard-4x-rtx-3090-eb4f9649/provenance/corpus-manifest.sha256 @@ -0,0 +1,35 @@ +bc6c1f81d86863c3dc36a31f58010701d8ab05180f69f86c6978214409e43af2 build.json +f724855774dfbea89fade712a70d534a085c88cda6abc123db419fd79eefab49 requests/concurrency-r1-c1.json +2c85f877abbf144ca065c58efc2a7568aaf2c8dc317ad8266e78c149f8245abb requests/concurrency-r1-c2.json +264097f61645a0d5089562dc003b7748b1c20339c2df1290ad6664fc1834068a requests/concurrency-r1-c3.json +65895c5a5fab53c06e9358d88d921f1bfc9dc7cc8b6e8a2521ac90de080ff470 requests/concurrency-r1-c4.json 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b/bench/results/2026-11-08-standard-4x-rtx-3090-eb4f9649/provenance/launch-config.json new file mode 100644 index 00000000000..18c5b7a3e1a --- /dev/null +++ b/bench/results/2026-11-08-standard-4x-rtx-3090-eb4f9649/provenance/launch-config.json @@ -0,0 +1,109 @@ +{ + "exe": "/bin/strata-212-stocktab-f83fd81691a5b053", + "args": [ + "--pack", + "/unsloth-ud-iq4_xs", + "--native", + "", + "--expert-profile", + "", + "--expert-cache", + "auto", + "--prefill", + "512", + "--spec", + "4", + "--spec-min-p", + "0.5", + "--mtp", + "/mtp/rt", + "--max-context", + "262144", + "--kv", + "int8", + "--resident-experts", + "--trim-stage-weights", + "--ple-io", + "ram", + "--aux-cpus", + "65-127", + "--conversation-cache-mib", + "126976", + "--conversation-cache-slots", + "448", + "--kv-resident", + "28672", + "--conversation-cache-min-free-mib", + "16384", + "--conversation-cache-min-tokens", + "1024", + "--vision", + "--prompt-cache-every", + "8192", + "--prompt-cache", + "12" + ], + "cwd": "", + "tokenizer": "/unsloth-ud-iq4_xs/tokenizer", + "model_name": "qwen3.8-flash-next-unsloth-ud-iq4_xs", + "log": "/engine-C.log", + "lib_dirs": [ + "/usr/local/cuda-13.0/bin", + "/usr/local/cuda-13.0/lib64" + ], + "port": 8091, + "gpu": [ + 0, + 1, + 2, + 3 + ], + "gpus_asked": true, + "layer_split": "12,25,37", + "open_browser": false, + "parallel": 16, + "env": { + "STRATA_MMQ_DIRECT": "1", + "STRATA_SLOT_COPY_DIRECT": "1", + "STRATA_PIPE_BYIELD_NODRAIN": "1", + "STRATA_ADMIT_MERGE_FIRST": "1", + "STRATA_CKPT_POOL": "1", + "STRATA_CKPT_THREADS": "1", + "STRATA_SLOT_CKPT_MOVE": "1", + "STRATA_SLOT_COPY_BATCHSYNC": "1", + "STRATA_SPLIT_MTP_BATCH": "1", + "STRATA_MMQ_GROUP_SORT": "1", + "STRATA_BATCH_SELF_COMMIT": "1", + "STRATA_NAN_GUARD": "0", + "STRATA_QSA_SLOTS": "1", + "STRATA_HANDOFF_PIPE": "8", + "STRATA_KV_PREFETCH": "1", + "MALLOC_MMAP_THRESHOLD_": "1048576", + "MALLOC_TRIM_THRESHOLD_": "1048576", + "STRATA_GR_FAST": "1", + "STRATA_GR_NORM_FAST": "1", + "STRATA_MMVF_ROWS": "1", + "STRATA_GDN_TC": "0", + "STRATA_GDN_CONVL2": "0", + "STRATA_PROMPT_ATTN_IMMA": "0", + "STRATA_AUTO_NOBORROW": "0", + "STRATA_PF_W16_CACHE_MIB": "0", + "STRATA_MMQ_KQ": "0", + "STRATA_BATCH_GDN_GROUPS": "1", + "STRATA_BATCH_ATTN_ROWS": "1", + "STRATA_CKPT_POOL_READY": "4" + }, + "vision": { + "exe": "/strata-vision-cpu", + "mmproj": "", + "model": "", + "gpu": false, + "threads": 32, + "max_tokens": 1024 + }, + "tool_call_recovery": false, + "sampling": { + "presence_penalty": 0 + }, + "drafting": "mtp" +} diff --git a/bench/results/2026-11-08-standard-4x-rtx-3090-eb4f9649/results.json b/bench/results/2026-11-08-standard-4x-rtx-3090-eb4f9649/results.json new file mode 100644 index 00000000000..79c1e196455 --- /dev/null +++ b/bench/results/2026-11-08-standard-4x-rtx-3090-eb4f9649/results.json @@ -0,0 +1,2580 @@ +{ + "format": "strata-standard-benchmark", + "schema_version": 1, + "protocol": { + "id": "strata-qwen38-thinking-v1-draft.1", + "git_commit": 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"1516fd96e3a71cca1bf2cbf58ee50fec82c1916cf3a8149691bcaeadd834f4ed" + }, + { + "kind": "provenance", + "path": "provenance/chat_template.jinja", + "sha256": "12827f24b742ea4e80cdc12dbcf9622227056b9f797252a3149263d4f9aaadce" + }, + { + "kind": "provenance", + "path": "provenance/corpus-manifest.sha256", + "sha256": "e75eff8b9feea04f745520b392c4c17d97aefc1ba185e222aa6740efa8f68407" + }, + { + "kind": "provenance", + "path": "provenance/corpus-build.json", + "sha256": "bc6c1f81d86863c3dc36a31f58010701d8ab05180f69f86c6978214409e43af2" + }, + { + "kind": "engine_log", + "path": "engine.log", + "sha256": "413e016abfbac1b066b7e00aca9b5463f5dea8600ac14ebcb3c8d23508d8f13d" + }, + { + "kind": "provenance", + "path": "provenance/launch-config.json", + "sha256": "a073d9850e5d4a766fabefb28fda099678f4261da15dc91cf4d5bc299bb5e69e" + } + ], + "missing": { + "/protocol/model_card_revision": "the profile's model-card revision is not pinned yet (protocol draft)", + "/hardware/background_workloads": "the runner does not inspect other programs; none were declared with --background", + "/model/revision": "not given: the quantization repository's immutable revision cannot be read from the engine; pass --model-revision", + "/model/source_revision": "not given: pass --source-revision", + "/model/tokenizer_revision": "not given: pass --tokenizer-revision", + "/model/custom_pack": "no custom pack or expert profile was declared by the operator (--custom-pack)", + "/requests/0/round": "not applicable outside the concurrency stage", + "/requests/0/error": "none: the request ended normally", + "/requests/0/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/0/evaluation": "not applicable outside the sanity stage", + "/requests/1/round": "not applicable outside the concurrency stage", + "/requests/1/error": "none: the request ended normally", + "/requests/1/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/1/evaluation": "not applicable outside the sanity stage", + "/requests/2/round": "not applicable outside the concurrency stage", + "/requests/2/error": "none: the request ended normally", + "/requests/2/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/2/evaluation": "not applicable outside the sanity stage", + "/requests/3/round": "not applicable outside the concurrency stage", + "/requests/3/error": "none: the request ended normally", + "/requests/3/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/3/evaluation": "not applicable outside the sanity stage", + "/requests/4/round": "not applicable outside the concurrency stage", + "/requests/4/error": "none: the request ended normally", + "/requests/4/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/4/evaluation": "not applicable outside the sanity stage", + "/requests/5/round": "not applicable outside the concurrency stage", + "/requests/5/error": "none: the request ended normally", + "/requests/5/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/5/evaluation": "not applicable outside the sanity stage", + "/requests/6/round": "not applicable outside the concurrency stage", + "/requests/6/error": "none: the request ended normally", + "/requests/6/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/6/evaluation": "not applicable outside the sanity stage", + "/requests/7/round": "not applicable outside the concurrency stage", + "/requests/7/error": "none: the request ended normally", + "/requests/7/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/7/evaluation": "not applicable outside the sanity stage", + "/requests/8/round": "not applicable outside the concurrency stage", + "/requests/8/error": "none: the request ended normally", + "/requests/8/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/8/evaluation": "not applicable outside the sanity stage", + "/requests/9/round": "not applicable outside the concurrency stage", + "/requests/9/error": "none: the request ended normally", + "/requests/9/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/9/evaluation": "not applicable outside the sanity stage", + "/requests/10/round": "not applicable outside the concurrency stage", + "/requests/10/error": "none: the request ended normally", + "/requests/10/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/11/round": "not applicable outside the concurrency stage", + "/requests/11/error": "none: the request ended normally", + "/requests/11/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/12/round": "not applicable outside the concurrency stage", + "/requests/12/error": "none: the request ended normally", + "/requests/12/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/13/round": "not applicable outside the concurrency stage", + "/requests/13/error": "none: the request ended normally", + "/requests/13/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/14/round": "not applicable outside the concurrency stage", + "/requests/14/error": "none: the request ended normally", + "/requests/14/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/15/round": "not applicable outside the concurrency stage", + "/requests/15/error": "none: the request ended normally", + "/requests/15/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/16/round": "not applicable outside the concurrency stage", + "/requests/16/error": "none: the request ended normally", + "/requests/16/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/17/round": "not applicable outside the concurrency stage", + "/requests/17/error": "none: the request ended normally", + "/requests/17/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/18/round": "not applicable outside the concurrency stage", + "/requests/18/error": "none: the request ended normally", + "/requests/18/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/19/round": "not applicable outside the concurrency stage", + "/requests/19/error": "none: the request ended normally", + "/requests/19/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/20/round": "not applicable outside the concurrency stage", + "/requests/20/error": "none: the request ended normally", + "/requests/20/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/21/round": "not applicable outside the concurrency stage", + "/requests/21/error": "none: the request ended normally", + "/requests/21/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/22/error": "none: the request ended normally", + "/requests/22/timings/first_answer_s": "no answer text or tool call arrived (reasoning alone does not count)", + "/requests/22/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/22/evaluation": "not applicable outside the sanity stage", + "/requests/23/error": "none: the request ended normally", + "/requests/23/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/23/evaluation": "not applicable outside the sanity stage", + "/requests/24/error": "none: the request ended normally", + "/requests/24/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/24/evaluation": "not applicable outside the sanity stage", + "/requests/25/error": "none: the request ended normally", + "/requests/25/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/25/evaluation": "not applicable outside the sanity stage", + "/requests/26/error": "none: the request ended normally", + "/requests/26/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/26/evaluation": "not applicable outside the sanity stage", + "/requests/27/error": "none: the request ended normally", + "/requests/27/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/27/evaluation": "not applicable outside the sanity stage", + "/requests/28/error": "none: the request ended normally", + "/requests/28/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/28/evaluation": "not applicable outside the sanity stage", + "/requests/29/error": "none: the request ended normally", + "/requests/29/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/29/evaluation": "not applicable outside the sanity stage", + "/requests/30/error": "none: the request ended normally", + "/requests/30/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/30/evaluation": "not applicable outside the sanity stage", + "/requests/31/error": "none: the request ended normally", + "/requests/31/timings/first_answer_s": "no answer text or tool call arrived (reasoning alone does not count)", + "/requests/31/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/31/evaluation": "not applicable outside the sanity stage", + "/requests/32/error": "none: the request ended normally", + "/requests/32/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/32/evaluation": "not applicable outside the sanity stage", + "/requests/33/error": "none: the request ended normally", + "/requests/33/token_accounting_note": "none: the API and engine counts agree or only one exists", + "/requests/33/evaluation": "not applicable outside the sanity stage" + }, + "extensions": { + "suite": "standard-v1", + "runner": "strata_cli.bench_standard", + "status_reasons": [], + "started_engine": false, + "server_requests_before_run": 0, + "other_engine_options": { + "--pack": "unsloth-ud-iq4_xs", + "--native": "Qwen3.8-Flash-Next-UD-IQ4_XS-00001-of-00003.gguf", + "--max-context": "262144", + "--resident-experts": true, + "--trim-stage-weights": true, + "--ple-io": "ram", + "--aux-cpus": "65-127", + "--conversation-cache-mib": "126976", + "--conversation-cache-slots": "448", + "--conversation-cache-min-free-mib": "16384", + "--conversation-cache-min-tokens": "1024", + "--vision": true, + "--prompt-cache-every": "8192", + "--prompt-cache": "12", + "--batch": "16" + }, + "request_checks": { + "warmup": { + "max_shared_prefix_tokens": 47, + "frozen_input_tokens": 75, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "performance-short-r1": { + "max_shared_prefix_tokens": 50, + "frozen_input_tokens": 77, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "performance-prompt-4k-r1": { + "max_shared_prefix_tokens": 54, + "frozen_input_tokens": 4093, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "performance-prompt-16k-r1": { + "max_shared_prefix_tokens": 55, + "frozen_input_tokens": 16387, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "performance-short-r2": { + "max_shared_prefix_tokens": 50, + "frozen_input_tokens": 77, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "performance-prompt-4k-r2": { + "max_shared_prefix_tokens": 54, + "frozen_input_tokens": 4093, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "performance-prompt-16k-r2": { + "max_shared_prefix_tokens": 55, + "frozen_input_tokens": 16387, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "performance-short-r3": { + "max_shared_prefix_tokens": 50, + "frozen_input_tokens": 77, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "performance-prompt-4k-r3": { + "max_shared_prefix_tokens": 54, + "frozen_input_tokens": 4093, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "performance-prompt-16k-r3": { + "max_shared_prefix_tokens": 55, + "frozen_input_tokens": 16387, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-I1": { + "max_shared_prefix_tokens": 49, + "frozen_input_tokens": 82, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-I2": { + "max_shared_prefix_tokens": 49, + "frozen_input_tokens": 90, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-I3": { + "max_shared_prefix_tokens": 49, + "frozen_input_tokens": 85, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-I4": { + "max_shared_prefix_tokens": 49, + "frozen_input_tokens": 71, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-R1": { + "max_shared_prefix_tokens": 49, + "frozen_input_tokens": 4089, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-R2": { + "max_shared_prefix_tokens": 49, + "frozen_input_tokens": 4089, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-R3": { + "max_shared_prefix_tokens": 49, + "frozen_input_tokens": 16382, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-R4": { + "max_shared_prefix_tokens": 49, + "frozen_input_tokens": 16390, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-T1": { + "max_shared_prefix_tokens": 61, + "frozen_input_tokens": 325, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-T2": { + "max_shared_prefix_tokens": 62, + "frozen_input_tokens": 335, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-T3": { + "max_shared_prefix_tokens": 61, + "frozen_input_tokens": 352, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "sanity-T4": { + "max_shared_prefix_tokens": 62, + "frozen_input_tokens": 339, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r1-c1": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r1-c2": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r1-c3": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r1-c4": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r2-c1": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r2-c2": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r2-c3": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r2-c4": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r3-c1": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r3-c2": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r3-c3": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + }, + "concurrency-r3-c4": { + "max_shared_prefix_tokens": 51, + "frozen_input_tokens": 78, + "unexpected_payload_reuse": false, + "length_outside_tolerance": false + } + }, + "optional_stage_skipped": false, + "api_key_sent": false + } +}