feat(models): classify local embedding models without registry metadata - #689
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Local models served by llama.cpp, LM Studio, Ollama, or vLLM are absent
from the remote model registry, so they never received modes/categories
and fell out of the dashboard's Embeddings category entirely — and the
documented metadata escape hatch could not fix it because MergeMetadata
never derived categories from operator-declared modes.
- MergeMetadata now derives Categories when an override declares Modes
without explicit Categories, making `modes: [embedding]` under
providers.<name>.models work as documented.
- New last-resort inference pass: models left with no modes and no
categories after registry enrichment and config overrides get modes
inferred from their ID ("embed"/"rerank" substrings, plus delimited
bge/e5/gte/minilm family tokens). Registry data and operator metadata
always win; the heuristic returns nothing when unsure. Applied on the
init sweep, per-provider refresh, cache load, and live re-enrichment.
Categories remain advisory (dashboard filter, failover suggestions);
/v1/embeddings routing is unchanged.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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📝 WalkthroughWalkthroughChangesModel metadata enrichment
Estimated code review effort: 4 (Complex) | ~45 minutes Merge Risk: 🟡 Moderate · up to This PR improves local model category detection and metadata overrides, but some models may still be advertised as rerank-capable when the provider cannot serve rerank requests, which can lead to incorrect capability display and failover suggestions. Merge should wait for this behavior to be corrected or explicitly accepted; the documentation inaccuracies are minor follow-up items. Sequence Diagram(s)sequenceDiagram
participant Provider
participant CapabilityAPI
participant ProviderRegistry
participant MetadataEnrichment
participant ModelIDInference
Provider->>CapabilityAPI: discover model capabilities
CapabilityAPI-->>Provider: return provider metadata
Provider->>ProviderRegistry: publish discovered models
ProviderRegistry->>MetadataEnrichment: apply registry and configuration metadata
MetadataEnrichment->>ModelIDInference: infer missing modes from model IDs
ModelIDInference-->>MetadataEnrichment: return inferred modes or nil
MetadataEnrichment-->>ProviderRegistry: publish enriched model metadata
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Inline comments:
In `@docs/providers/overview.mdx`:
- Around line 142-151: Update the “Model categories” documentation to state that
local model IDs containing “rerank” are automatically categorized as reranking
models, alongside the existing embedding-name heuristics. Keep the guidance
about explicit operator metadata overriding inference and the category behavior
unchanged.
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docs/providers/overview.mdxinternal/modeldata/infer.gointernal/modeldata/infer_test.gointernal/modeldata/merge.gointernal/modeldata/merge_categories_test.gointernal/providers/registry_cache.gointernal/providers/registry_inferred_metadata_test.gointernal/providers/registry_init.gointernal/providers/registry_metadata.go
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Confidence Score: 5/5Safe to merge based on the exercised metadata lifecycle and precedence behavior. The before-and-after check directly reproduced the missing local metadata before the change and confirmed the intended behavior after it across initialization, re-enrichment, cache restoration, and refresh. Focused regression coverage also passed, and no defects were found. Files Needing Attention: No files require follow-up. The unrelated broad-suite failure originates in internal/providers/config_test.go, whose no-provider assumption is affected by the runner's configured environment rather than by this metadata change.
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Reviews (1): Last reviewed commit: "feat(models): classify local embedding m..." | Re-trigger Greptile |
Review follow-ups on #689: the model-categories doc note now mentions that IDs containing "rerank" are classified as reranking models, and a direct test covers the replace-not-mutate branch of applyInferredModelMetadata (fresh entry, prior-replacement chain, and untouched non-inferable models). Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Gemini's native models listing already reports supportedGenerationMethods per model, but ListModels only used it to filter membership and discarded the signal. Stamp Modes/Categories from it at discovery time so embedding models are classified even when the remote model registry has no entry (new or preview IDs). Precedence is unchanged: registry enrichment replaces the stamp when it has an entry, operator config merges on top, and the ID-inference fallback skips models that already carry modes. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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Added a third classification source in 6d92063: Gemini's native models listing reports |
…overy Extends the Gemini discovery stamp to the remaining providers whose listings carry a capability signal: - Cohere: map per-model `endpoints` (chat/embed/rerank/transcriptions) onto modes alongside the existing context-window metadata. - OpenRouter: parse the native listing's `architecture` output modalities (text → chat, image → image generation) and context length, which the generic OpenAI-shape parser dropped; OpenRouter's long tail is far larger than the remote model registry. - Ollama: probe native /api/show per listed model for `capabilities` (completion → chat, embedding → embedding), best-effort with per-model caching so steady-state listings cost no extra requests and older servers without the field simply stay unstamped for the ID heuristic. Precedence is unchanged everywhere: registry enrichment replaces the discovery stamp, operator config merges on top, ID inference skips models that already carry modes. Verified live against a local Ollama: nomic-embed-text lands in the Embeddings category and untracked local chat models (qwen, bielik) now classify as text generation. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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d3ef59e extends discovery-time classification to the remaining providers whose listings carry a capability signal: Cohere maps per-model |
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Inline comments:
In `@docs/providers/overview.mdx`:
- Around line 147-148: Update the provider classification paragraph in the
provider overview to document discovery for Gemini, Cohere, OpenRouter, and
Ollama, and state the precedence order: registry metadata and operator
configuration first, provider discovery next, and ID-based inference last. Limit
manual metadata guidance to models that remain unclassified after these steps.
Apply the same fix in `@docs/providers/overview.mdx` around lines 147 - 148: The
final path-segment limitation and matching scope are covered by the consolidated
documentation update.
In `@internal/providers/openrouter/openrouter.go`:
- Around line 101-104: Update the models request in the OpenRouter provider’s
model-listing flow to include the output_modalities=all query parameter, map
upstream “embeddings” modalities to the internal “embedding” modality, and
extend the relevant test to verify both behaviors.
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docs/providers/overview.mdxinternal/providers/cohere/cohere.gointernal/providers/cohere/cohere_test.gointernal/providers/gemini/gemini.gointernal/providers/gemini/gemini_test.gointernal/providers/ollama/ollama.gointernal/providers/ollama/ollama_test.gointernal/providers/openrouter/openrouter.gointernal/providers/openrouter/openrouter_test.gointernal/providers/registry_inferred_metadata_test.go
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Review follow-up on #689: OpenRouter's GET /models defaults to text-output models only, so the catalog silently hid its 34 embedding models (Voyage, gemini-embedding) — the exact class this PR exists to surface. Request output_modalities=all, map the embeddings modality to the embedding mode, and skip models whose every modality has no gateway surface on OpenRouter (rerank-only, video, speech, transcription) so the catalog never advertises a model that can only fail; models without architecture info are kept. Verified against the live API: default 413 models vs 548 with =all, and POST /embeddings exists upstream (401 without auth), so listed embedding models are actually servable. Also documents the full four-source classification precedence and the final-path-segment scope of the ID heuristic. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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Inline comments:
In `@internal/providers/openrouter/openrouter_test.go`:
- Around line 23-27: Add an error-path test for Provider.ListModels using a
non-success upstream response, and assert that the returned error matches the
provider’s normalized error format. Keep the existing successful response and
output_modalities request assertion unchanged, and exercise the failure handling
around ListModels.
- Around line 51-52: Strengthen the response assertion near the Data length
check to explicitly verify that mystery/no-architecture is present in resp.Data
before inspecting its metadata. Use the existing model lookup path, but assert
map membership separately so a missing model cannot pass through as a zero-value
core.Model.
In `@internal/providers/openrouter/openrouter.go`:
- Around line 165-168: Remove the rerank case from the mode-mapping logic so
openrouterServable models are not assigned the unsupported "rerank" mode; retain
the existing embeddings-to-embedding mapping and other supported modes
unchanged.
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docs/providers/overview.mdxinternal/providers/openrouter/openrouter.gointernal/providers/openrouter/openrouter_test.go
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New advanced/model-metadata.mdx documents the full five-source chain in one place — pricing overrides > config.yaml metadata > ai-model-list catalog > provider discovery signals > ID heuristic — with a precedence flowchart in the style of the configuration page, what each field affects, and offline behavior. Cross-linked from cost-tracking's pricing-precedence section. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Review follow-ups on #689: a text+rerank model would have advertised a rerank mode the gateway cannot reach on OpenRouter, sorting it into the Embeddings category (rerank-only models were already skipped, so the mapping was nearly dead code; Cohere keeps its mapping since rerank is reachable there via passthrough). Tests now assert the no-architecture model is actually retained rather than passing on a zero-value map lookup, and cover upstream listing failures propagating as gateway errors. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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Inline comments:
In `@docs/advanced/model-metadata.mdx`:
- Around line 63-66: Update the offline behavior description to clarify that
registry failures or air-gapped deployments only remove registry-sourced
metadata; configured metadata overrides and ID inference still apply, so
enriched metadata and pricing may remain available. Keep the guidance to mirror
MODEL_LIST_URL or declare metadata in config.yaml.
- Around line 39-43: Revise the “Provider discovery” section to distinguish
provider discovery from the ai-model-list catalog source: state that locally
configured models need no provider discovery, and describe discovery only as
capability enrichment for models exposed by a provider. Preserve the listed
provider-specific metadata examples.
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Review follow-ups on #689: describe provider discovery as capability enrichment for discovered models (configured model lists skip it) rather than the origin of every entry, and correct the offline section — a catalog outage only loses catalog-supplied defaults; overrides, config metadata, discovery signals, and the ID heuristic still apply. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
* feat(openrouter): serve speech and transcription models Follow-up to #689: OpenRouter's catalog listing skipped speech- and transcription-only models because the gateway treated them as unreachable there. OpenRouter's /audio/speech and /audio/transcriptions endpoints are OpenAI-shaped, so the embedded OpenAI-compatible provider already serves them — the models were hidden for no reason. - Keep "speech" and "transcription" output modalities in the servable set (unlocks 18 TTS and 19 STT models on today's catalog). - Map them onto audio_speech / audio_transcription modes so the models land in the Audio dashboard category and pass the registry's audio-only guard. - Assert core.AudioProvider compliance at compile time so the audio surface cannot silently disappear if the embedding changes. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * test(openrouter): assert title attribution header on audio paths Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> --------- Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
* docs(providers): add llama.cpp / LM Studio guide llama.cpp users have no setup guidance today (the embeddings-classification report in #689 came from one). Documents registering llama-server as a vLLM-type provider, the pooling requirement for /v1/embeddings, ID-based model classification, and what llama.cpp does not serve (rerank via passthrough only; no image-generation or OpenAI audio endpoints). Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * docs(providers): drop unsupported-capability list from llama.cpp guide Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * docs(providers): fix llama.cpp model aliases and rerank flags Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> --------- Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
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Problem
A user report: their llama.cpp-served embedding model works when calling llama.cpp directly, but through GoModel it is never recognized as an embeddings model.
Root cause: "is this an embeddings model" is derived solely from the remote model registry's
modes. The registry has zero local-model entries (no nomic/bge/GGUF IDs — and never can, since llama.cpp IDs are file names or user aliases), and llama.cpp's/v1/modelsand/propsexpose no capability signal to discover. So every local embedding model ended up with no metadata and fell out of the dashboard's Embeddings category entirely.Worse, the documented escape hatch was broken: declaring
modes: [embedding]underproviders.<name>.modelsmetadata set the modes but never derivedCategories— only the registry enrichment path did that — so even a diligent operator stayed unrecognized.Changes
MergeMetadatafix: an override declaringModeswithout explicitCategoriesnow derives categories from the merged modes, making the documentedmodes: [embedding]config work.modeldata.InferModesFromID+applyInferredModelMetadata): models left with no modes and no categories after registry enrichment and config overrides get modes inferred from their ID —embedsubstring → embedding,rerank→ rerank, delimited family tokensbge/e5/gte/minilm→ embedding. Token matching avoids lookalikes (gemma-3n-e4b,bge2000-chat). The heuristic returns nothing when unsure, and both real sources always win. Applied on all enrichment paths: init sweep, per-provider refresh, cache load, and live re-enrichment — including deployments where no model list is ever fetched.docs/providers/overview.mdxexplaining the algorithm and the override.User-visible impact
nomic-embed-text-v1.5.Q8_0.gguf,bge-m3,all-minilm, etc. from llama.cpp / LM Studio / Ollama / vLLM now appear under the dashboard's Embeddings category out of the box, andmodes: [embedding]config metadata works for anything the heuristic misses.Categories remain advisory (dashboard category filter, failover suggestions);
/v1/embeddingsrequest routing is unchanged and still forwards to any model the provider serves.Tests
infer_test.go),MergeMetadatacategory-derivation cases, and registry-level tests: local embedding models land inListModelsWithProviderByCategory(embedding), chat models don't, and later registry data overrides an earlier inference.go test ./...green; pre-commit hooks (race tests, lint, perf guard) passed.🤖 Generated with Claude Code
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New Features
Documentation