feat: add model compress command & decision model inference

Author: gujieye

CHANGELOG.md

@@ -6,8 +6,22 @@ The format follows [Keep a Changelog](https://keepachangelog.com/en/1.1.0/), and
 
 [中文版](CHANGELOG.zh.md) · [README](README.md) · [Contributing](CONTRIBUTING.md)
 
+## [Unreleased]
+
+### Added
+
+- **Decision model inference** — Added `bl decision` for TypeSafe System One requests against workspace-scoped endpoints, including `choice` / `noul` / `score` validation, JSON and text output, training-sample reuse, Beijing/Singapore routing, and dry-run previews.
+
+### Changed
+
+- **Decision dataset validation** — Aligned the `decision` schema with the current API: `state` may be a string, object, or array; `instructions` is optional; and question criteria now enforce API limits.
+
 ## [2.2.0] - 2026-10-12
 
+### Added
+
+- **Model compression lifecycle** — Added `bl finetune compress templates/create/list/get/watch/logs/cancel/delete` for quantizing supported full-parameter fine-tuned models, including dry-run previews, status polling, log retrieval, and safe deletion confirmation.
+
 ### Changed
 
 - **Token Plan usage window** — `bl usage token-plan` now reports a single monthly quota (usage percentage and reset time) instead of the previous 5-hour and 1-week windows.

CHANGELOG.zh.md

@@ -6,8 +6,22 @@
 
 [English](CHANGELOG.md) · [README](README.zh.md) · [参与贡献](CONTRIBUTING.zh.md)
 
+## [未发布]
+
+### 新增
+
+- **决策模型推理** —— 新增 `bl decision`，通过工作空间专属 Endpoint 调用 TypeSafe System One，支持 `choice` / `noul` / `score` 校验、JSON 与文本输出、复用训练样本、北京/新加坡地域路由及 dry-run 预览。
+
+### 变更
+
+- **决策数据集校验** —— 与最新 API 对齐：`state` 可为字符串、对象或数组，`instructions` 改为可选，并按接口限制校验各类问题的 criteria。
+
 ## [2.2.0] - 2026-10-12
 
+### 新增
+
+- **模型压缩完整生命周期** —— 新增 `bl finetune compress templates/create/list/get/watch/logs/cancel/delete`，支持对符合条件的全参调优模型执行量化压缩，并覆盖 dry-run 预览、状态轮询、日志查询和安全删除确认。
+
 ### 变更
 
 - **Token Plan 额度窗口** —— `bl usage token-plan` 现在只展示月度额度（使用百分比与重置时间），不再显示此前的 5 小时和 1 周窗口。

README.md

@@ -121,6 +121,7 @@ Once installed, just describe your task to your AI Agent — no need to assemble
 | Monitoring & alerts      | "Show my model call stats, failures and logs, and create an alert rule."                                                              |
 | Throughput reservations  | "List my throughput reservations and capacity instances, then scale, renew or release capacity and wait for the operation to finish." |
 | Model selection          | "Recommend a model for image understanding and customer support."                                                                     |
+| Decision model           | "Use the Bailian decision model to route this ticket and assess whether it needs escalation."                                         |
 | About Bailian CLI        | "Tell me what Bailian CLI can do for me, and suggest how to use it for my needs."                                                     |
 
 > More examples and scenarios: [Aliyun Model Studio CLI Site](https://bailian.console.aliyun.com/cli?source_channel=cli_github&)

README.zh.md

@@ -120,6 +120,7 @@ irm https://bailian.aliyun.com/cli/install.ps1 | iex
 | 监控与告警       | “查看我的模型调用统计、失败明细和调用日志，并创建一条告警规则。”             |
 | 吞吐预留         | “查看我的吞吐预留及容量实例，并对容量进行扩缩、续订或释放，再等待操作完成。” |
 | 模型选型         | “推荐一个适合图片理解和智能客服的模型。”                                     |
+| 决策模型         | “用百炼决策模型给这张工单分流，并判断是否需要升级处理。”                     |
 | 了解 Bailian CLI | “介绍一下 Bailian CLI 能帮我完成哪些任务，并根据我的需求推荐使用方式。”      |
 
 > 更多案例与使用场景：[阿里云百炼 CLI 官方主页](https://bailian.console.aliyun.com/cli?source_channel=cli_github&)

packages/cli/README.md

@@ -121,6 +121,7 @@ Once installed, just describe your task to your AI Agent — no need to assemble
 | Monitoring & alerts      | "Show my model call stats, failures and logs, and create an alert rule."                                                              |
 | Throughput reservations  | "List my throughput reservations and capacity instances, then scale, renew or release capacity and wait for the operation to finish." |
 | Model selection          | "Recommend a model for image understanding and customer support."                                                                     |
+| Decision model           | "Use the Bailian decision model to route this ticket and assess whether it needs escalation."                                         |
 | About Bailian CLI        | "Tell me what Bailian CLI can do for me, and suggest how to use it for my needs."                                                     |
 
 > More examples and scenarios: [Aliyun Model Studio CLI Site](https://bailian.console.aliyun.com/cli?source_channel=cli_github&)

packages/cli/README.zh.md

@@ -120,6 +120,7 @@ irm https://bailian.aliyun.com/cli/install.ps1 | iex
 | 监控与告警       | “查看我的模型调用统计、失败明细和调用日志，并创建一条告警规则。”             |
 | 吞吐预留         | “查看我的吞吐预留及容量实例，并对容量进行扩缩、续订或释放，再等待操作完成。” |
 | 模型选型         | “推荐一个适合图片理解和智能客服的模型。”                                     |
+| 决策模型         | “用百炼决策模型给这张工单分流，并判断是否需要升级处理。”                     |
 | 了解 Bailian CLI | “介绍一下 Bailian CLI 能帮我完成哪些任务，并根据我的需求推荐使用方式。”      |
 
 > 更多案例与使用场景：[阿里云百炼 CLI 官方主页](https://bailian.console.aliyun.com/cli?source_channel=cli_github&)

packages/cli/src/commands.ts

@@ -14,6 +14,7 @@ import {
   videoTaskGet,
   videoDownload,
   visionDescribe,
+  decisionPredict,
   configShow,
   configSet,
   configList,
@@ -154,6 +155,14 @@ import {
   finetuneWatch,
   finetuneCapability,
   finetunePrice,
+  finetuneCompressTemplates,
+  finetuneCompressCreate,
+  finetuneCompressList,
+  finetuneCompressGet,
+  finetuneCompressWatch,
+  finetuneCompressLogs,
+  finetuneCompressCancel,
+  finetuneCompressDelete,
   deployTextCreate,
   deployAudioCreate,
   deployImageCreate,
@@ -298,6 +307,7 @@ export const commands: Record<string, AnyCommand> = {
   "video task get": videoTaskGet,
   "video download": videoDownload,
   "vision describe": visionDescribe,
+  decision: decisionPredict,
   "config show": configShow,
   "config set": configSet,
   "config list": configList,
@@ -440,6 +450,14 @@ export const commands: Record<string, AnyCommand> = {
   "finetune watch": finetuneWatch,
   "finetune capability": finetuneCapability,
   "finetune price": finetunePrice,
+  "finetune compress templates": finetuneCompressTemplates,
+  "finetune compress create": finetuneCompressCreate,
+  "finetune compress list": finetuneCompressList,
+  "finetune compress get": finetuneCompressGet,
+  "finetune compress watch": finetuneCompressWatch,
+  "finetune compress logs": finetuneCompressLogs,
+  "finetune compress cancel": finetuneCompressCancel,
+  "finetune compress delete": finetuneCompressDelete,
   "deploy text create": deployTextCreate,
   "deploy audio create": deployAudioCreate,
   "deploy image create": deployImageCreate,

packages/commands/src/commands/dataset/upload.ts

@@ -6,6 +6,7 @@ import {
   formatIssue,
   MAX_DATASET_BYTES,
   MAX_CPT_BYTES,
+  MAX_DECISION_DATASET_BYTES,
   MAX_MEDIA_ZIP_BYTES,
   BailianError,
   ExitCode,
@@ -18,9 +19,10 @@ const UPLOAD_FLAGS = {
     type: "string",
     valueHint: "<path>",
     description: {
-      "en-US": "Local dataset file (.jsonl or .zip; ≤200MB SFT/DPO, ≤300MB CPT, ≤2GB media zip)",
+      "en-US":
+        "Local dataset file (.jsonl or .zip; ≤200MB SFT/DPO, ≤300MB CPT/decision, ≤2GB media zip)",
       "zh-CN":
-        "本地数据集文件（.jsonl 或 .zip；SFT/DPO 不超过 200MB，CPT 不超过 300MB，媒体 ZIP 不超过 2GB）",
+        "本地数据集文件（.jsonl 或 .zip；SFT/DPO 不超过 200MB，CPT/决策模型不超过 300MB，媒体 ZIP 不超过 2GB）",
     },
     required: true,
   },
@@ -37,9 +39,9 @@ const UPLOAD_FLAGS = {
     valueHint: "<s>",
     description: {
       "en-US":
-        'Record schema: "chatml" (SFT), "dpo" (chosen/rejected), "cpt" (raw text), "tts" (audio), "image" (image generation), or "video" (video generation). Default auto-detects per record.',
+        'Record schema: "chatml" (SFT), "dpo" (chosen/rejected), "cpt" (raw text), "decision" (state/questions), "tts" (audio), "image" (image generation), or "video" (video generation). Default auto-detects per record.',
       "zh-CN":
-        '记录 Schema："chatml"（SFT）、"dpo"（chosen/rejected）、"cpt"（原始文本）、"tts"（音频）、"image"（图片生成）或 "video"（视频生成）。默认逐条自动识别。',
+        '记录 Schema："chatml"（SFT）、"dpo"（chosen/rejected）、"cpt"（原始文本）、"decision"（state/questions 决策数据）、"tts"（音频）、"image"（图片生成）或 "video"（视频生成）。默认逐条自动识别。',
     },
   },
   noValidate: {
@@ -65,12 +67,13 @@ export default defineCommand({
   },
   auth: "apiKey",
   usageArgs:
-    "--file <path> [--purpose <name>] [--schema <chatml|dpo|cpt|tts|image|video>] [--no-validate] [--full-validate]",
+    "--file <path> [--purpose <name>] [--schema <chatml|dpo|cpt|decision|tts|image|video>] [--no-validate] [--full-validate]",
   flags: UPLOAD_FLAGS,
   exampleArgs: [
     "--file train.jsonl",
     "--file dpo.jsonl --schema dpo",
     "--file cpt.jsonl --schema cpt",
+    "--file decision.jsonl --schema decision",
     "--file audio.zip --schema tts",
     "--file eval.jsonl --purpose evaluation",
     "--file train.jsonl --full-validate",
@@ -79,35 +82,37 @@ export default defineCommand({
   notes: [
     {
       "en-US":
-        'Supports .jsonl (text) and .zip (audio/image/video archives with a data.jsonl manifest). Six record schemas are recognized: chatml = {messages:[...]} (SFT); dpo = {messages:[...], chosen, rejected}; cpt = {text:"..."} (continual pre-training, raw text); tts = {wav_fn:"train/xxx.wav", text:"..."} (audio fine-tuning); image = {img_path:"..."} (image generation); video = {first_frame_path:...} (video generation).',
+        'Supports .jsonl (text/decision) and .zip (audio/image/video archives with a data.jsonl manifest). Seven record schemas are recognized: chatml = {messages:[...]} (SFT); dpo = {messages:[...], chosen, rejected}; cpt = {text:"..."}; decision = {state:{content}, questions:{...}}; tts = {wav_fn:"train/xxx.wav", text:"..."}; image = {img_path:"..."}; video = {first_frame_path:...}.',
       "zh-CN":
-        '支持 .jsonl（文本）和 .zip（包含 data.jsonl 清单的音频、图片或视频归档）。可识别六种记录 Schema：chatml = {messages:[...]}（SFT）；dpo = {messages:[...], chosen, rejected}；cpt = {text:"..."}（持续预训练，原始文本）；tts = {wav_fn:"train/xxx.wav", text:"..."}（音频微调）；image = {img_path:"..."}（图片生成）；video = {first_frame_path:...}（视频生成）。',
+        '支持 .jsonl（文本/决策）和 .zip（包含 data.jsonl 清单的音频、图片或视频归档）。可识别七种记录 Schema：chatml = {messages:[...]}（SFT）；dpo = {messages:[...], chosen, rejected}；cpt = {text:"..."}；decision = {state:{content}, questions:{...}}；tts = {wav_fn:"train/xxx.wav", text:"..."}；image = {img_path:"..."}；video = {first_frame_path:...}。',
     },
     {
       "en-US":
-        "With no --schema, a record carrying wav_fn is validated as TTS, img_path as image, chosen/rejected as DPO, text (no messages) as CPT, otherwise ChatML.",
+        "With no --schema, state/questions is validated as decision data, wav_fn as TTS, img_path as image, chosen/rejected as DPO, text (no messages) as CPT, otherwise ChatML.",
       "zh-CN":
-        "未指定 --schema 时，包含 wav_fn 的记录按 TTS 验证，包含 img_path 的按 image 验证，包含 chosen/rejected 的按 DPO 验证，仅含 text（无 messages）的按 CPT 验证，其他记录按 ChatML 验证。",
+        "未指定 --schema 时，state/questions 记录按 decision 验证，包含 wav_fn 的按 TTS 验证，包含 img_path 的按 image 验证，包含 chosen/rejected 的按 DPO 验证，仅含 text（无 messages）的按 CPT 验证，其他记录按 ChatML 验证。",
     },
     {
       "en-US":
-        "Upload cap: 200MB SFT/DPO text, 300MB CPT, 2GB media zip. Upload uses the OpenAI-compatible /compatible-mode/v1/files endpoint so the purpose tag is persisted (the DashScope-native /api/v1/files drops it).",
+        "Upload cap: 200MB SFT/DPO text, 300MB CPT/decision data, 2GB media zip. For decision files over 200MB, pass --schema decision so the correct cap is applied. Upload uses the OpenAI-compatible /compatible-mode/v1/files endpoint so the purpose tag is persisted.",
       "zh-CN":
-        "上传上限：SFT/DPO 文本 200MB、CPT 300MB、媒体 ZIP 2GB。上传使用 OpenAI 兼容的 /compatible-mode/v1/files Endpoint，以便保留 purpose 标签；DashScope 原生 /api/v1/files 会丢弃该标签。",
+        "上传上限：SFT/DPO 文本 200MB、CPT/决策模型数据 300MB、媒体 ZIP 2GB。决策数据超过 200MB 时请显式传入 --schema decision，以应用正确上限。上传使用 OpenAI 兼容的 /compatible-mode/v1/files 接口，以确保持久化 purpose 标签。",
     },
   ],
   async run(ctx) {
     const { identity, settings, flags } = ctx;
     const filePath = flags.file;
     const purpose = flags.purpose || "fine-tune";
     const schema = parseDatasetSchemaFlag(flags.schema);
-    // Size caps differ per training type: SFT/DPO 200MB, CPT 300MB, media ZIP 2GB.
+    // 大小上限按平台数据类型区分；自动识别仍采用保守的文本上限，避免放宽已有格式。
     const isMediaSchema = schema === "image" || schema === "video";
     const maxBytes = isMediaSchema
       ? MAX_MEDIA_ZIP_BYTES
-      : schema === "cpt"
-        ? MAX_CPT_BYTES
-        : MAX_DATASET_BYTES;
+      : schema === "decision"
+        ? MAX_DECISION_DATASET_BYTES
+        : schema === "cpt"
+          ? MAX_CPT_BYTES
+          : MAX_DATASET_BYTES;
 
     if (!flags.noValidate) {
       const result = await validateDataset(filePath, {

packages/commands/src/commands/dataset/validate.ts

@@ -2,6 +2,7 @@ import {
   defineCommand,
   validateDataset,
   parseDatasetSchemaFlag,
+  MAX_DECISION_DATASET_BYTES,
   BailianError,
   ExitCode,
   type FlagsDef,
@@ -30,9 +31,9 @@ const VALIDATE_FLAGS = {
     valueHint: "<s>",
     description: {
       "en-US":
-        'Record schema: "chatml" (SFT), "dpo" (chosen/rejected), "cpt" (raw text), "tts" (audio), "image" (image generation), or "video" (video generation). Default auto-detects per record.',
+        'Record schema: "chatml" (SFT), "dpo" (chosen/rejected), "cpt" (raw text), "decision" (state/questions), "tts" (audio), "image" (image generation), or "video" (video generation). Default auto-detects per record.',
       "zh-CN":
-        '记录 Schema："chatml"（SFT）、"dpo"（chosen/rejected）、"cpt"（原始文本）、"tts"（音频）、"image"（图片生成）或 "video"（视频生成）。默认逐条自动识别。',
+        '记录 Schema："chatml"（SFT）、"dpo"（chosen/rejected）、"cpt"（原始文本）、"decision"（state/questions 决策数据）、"tts"（音频）、"image"（图片生成）或 "video"（视频生成）。默认逐条自动识别。',
     },
   },
 } satisfies FlagsDef;
@@ -44,12 +45,13 @@ export default defineCommand({
   },
   // 纯本地校验，不触网、不需 API key（与 `pipeline validate` 一致）。
   auth: "none",
-  usageArgs: "--file <path> [--full-validate] [--schema <chatml|dpo|cpt|tts|image|video>]",
+  usageArgs: "--file <path> [--full-validate] [--schema <chatml|dpo|cpt|decision|tts|image|video>]",
   flags: VALIDATE_FLAGS,
   exampleArgs: [
     "--file train.jsonl",
     "--file dpo.jsonl --schema dpo",
     "--file cpt.jsonl --schema cpt",
+    "--file decision.jsonl --schema decision",
     "--file audio.zip --schema tts",
     "--file wan-i2v-training-dataset.zip --schema video",
     "--file eval.jsonl --full-validate",
@@ -64,15 +66,15 @@ export default defineCommand({
     },
     {
       "en-US":
-        'Schemas: chatml = {messages:[...]} (SFT); dpo = {messages:[...], chosen, rejected}; cpt = {text:"..."} (continual pre-training, raw text); tts = {wav_fn:"train/xxx.wav", text:"..."} (audio fine-tuning); image = {img_path:"..."} (image generation); video = {first_frame_path:"...", video_path:"..."} (video generation, i2v first-frame or kf2v first+last-frame with last_frame_path).',
+        'Schemas: chatml = {messages:[...]}; dpo = {messages:[...], chosen, rejected}; cpt = {text:"..."}; decision = {state:{content}, questions:{...}}; tts = {wav_fn:"train/xxx.wav", text:"..."}; image = {img_path:"..."}; video = {first_frame_path:"...", video_path:"..."}.',
       "zh-CN":
-        'Schema：chatml = {messages:[...]}（SFT）；dpo = {messages:[...], chosen, rejected}；cpt = {text:"..."}（持续预训练，原始文本）；tts = {wav_fn:"train/xxx.wav", text:"..."}（音频微调）；image = {img_path:"..."}（图片生成）；video = {first_frame_path:"...", video_path:"..."}（视频生成，支持 i2v 首帧或通过 last_frame_path 指定 kf2v 首尾帧）。',
+        'Schema：chatml = {messages:[...]}；dpo = {messages:[...], chosen, rejected}；cpt = {text:"..."}；decision = {state:{content}, questions:{...}}；tts = {wav_fn:"train/xxx.wav", text:"..."}；image = {img_path:"..."}；video = {first_frame_path:"...", video_path:"..."}。',
     },
     {
       "en-US":
-        "With no --schema, a record carrying wav_fn is validated as TTS, img_path as image, first_frame_path/video_path as video, chosen/rejected as DPO, text (no messages) as CPT, otherwise ChatML. Pass --schema to require a specific shape on every record.",
+        "With no --schema, state/questions is validated as decision data, wav_fn as TTS, img_path as image, first_frame_path/video_path as video, chosen/rejected as DPO, text (no messages) as CPT, otherwise ChatML.",
       "zh-CN":
-        "未指定 --schema 时，包含 wav_fn 的记录按 TTS 验证，包含 img_path 的按 image 验证，包含 first_frame_path/video_path 的按 video 验证，包含 chosen/rejected 的按 DPO 验证，仅含 text（无 messages）的按 CPT 验证，其他记录按 ChatML 验证。使用 --schema 要求每条记录符合指定结构。",
+        "未指定 --schema 时，state/questions 记录按 decision 验证，包含 wav_fn 的按 TTS 验证，包含 img_path 的按 image 验证，包含 first_frame_path/video_path 的按 video 验证，包含 chosen/rejected 的按 DPO 验证，仅含 text（无 messages）的按 CPT 验证，其他记录按 ChatML 验证。",
     },
     {
       "en-US":
@@ -98,7 +100,11 @@ export default defineCommand({
       return;
     }
 
-    const result = await validateDataset(filePath, { fullValidate: flags.fullValidate, schema });
+    const result = await validateDataset(filePath, {
+      fullValidate: flags.fullValidate,
+      schema,
+      maxBytes: schema === "decision" ? MAX_DECISION_DATASET_BYTES : undefined,
+    });
 
     if (settings.quiet) {
       emitBare(result.valid ? "ok" : "fail");