eaiadminandClaude Code
81366ca273
用户报「卡在步骤 3」，实际断在第 5 步 structure：请求发出 46ms 后浏览器 连接断开，Gin 的 Request.Context() 被取消，上游回 499，后端包成 400。 服务端与前端应用层都没有任何主动取消（全仓 grep cancel/AbortController 零命中），是一次客户端断连。 断连本身无法在代码里杜绝，但它暴露了三个真 bug： 1. 报错文案说「第 1 步」，右栏说第 5 步 —— 尾部两步按自己这一轮从 1 数。 新增 STEP_NUMBERS，报错与右栏共用同一份编号（这就是「步骤 3」这个 说法的来源：用户看到的第一个数字就对不上）。 2. 断连后界面上没有任何续跑入口，任务永远停在 4/6（右栏六步是只读的）。 失败的那条助手消息上挂「🔁 重试」。 3. 无脑重跑会在同一任务里留第二份「结构化纪要」，两份差别用户看不出来。 resumeAudioSkill 收 skipSteps，按 task_run.action_key 判「跑过没有」 —— 不用产物类型判，document/checklist 别的技能也在用。 另修：待确认那条消息改用 reactive()。messages 是 ref([])，push 进去的对象 模板读时才被代理，而代码改的是那个变量，改普通对象不触发重渲染， 用户会一直看到「正在继续整理...」。 验证（临时任务 100，已删，先备份 db）：CDP setBlockedURLs 掐掉 structure 复现同形断连 → 消息挂出重试按钮，文案与右栏同为第 5 步；后端补跑一次 structure（模拟响应丢失但已落库）→ 点重试只跑 minutes，落库 document 1 份、 checklist 1 份。反证：再手工跑一次 structure，同名产物立刻变 2 份。 详见 bugs_and_errors.md E14。 E15（未修，记录在案）：DeleteMyTask 只删 task_record，run 与 artifact 全成 孤儿，产物 content_text 是完整逐字稿。删除语义务必先定硬删还是软删。 Co-Authored-By: Claude Code <noreply@anthropic.com>
249 lines
10 KiB
Plaintext
249 lines
10 KiB
Plaintext
{
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"agent_routes": {
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"embed_gen": "embed_route_llamacpp_nomic",
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"image_gen": "image_route_openrouter_gpt_image_2",
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"video_gen": "video_route_openrouter_veo_3",
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"path_coach": "chat_route_lmuai_deepseek_v4_flash",
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"title_gen": "chat_route_lmuai_deepseek_v4_flash",
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"audio_transcribe": "audio_route_auto",
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"audio_transcribe_llm": "chat_route_lmuai_deepseek_v4_flash_doc"
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},
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"audio_routes": {
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"audio_route_local_whisper": {
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"base_url": "http://127.0.0.1:8090/v1",
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"description": "语音转写 · 本机 faster-whisper large-v3 + pyannote 3.1（音频不出本机）。由 deploy/eai_agentplatform-asr.service 常驻在 127.0.0.1:8090；服务不在时 audio_route_auto 会改走 fallback_routes 里的云端路由，并在转写产物里标注「音频已出本机」。timeout 定在 840s 而不是一小时：前端 api/audioSkill.js 给这一步的上限是 15 分钟，后端必须在它之前自己收手（否则用户看到的是 axios 超时，而后端还在跑），同时 840s 里还留得下云端那 600s 的回退预算",
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"endpoint": "/audio/transcriptions",
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"model": "large-v3",
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"provider": "local_asr",
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"short_model_name": "whisper large-v3",
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"short_route_name": "本地",
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"supports_speakers": true,
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"timeout_seconds": 840
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},
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"audio_route_siliconflow_diarize": {
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"description": "语音转写 · SiliconFlow / XingChen ASR Diarize（云端，音频会出本机；本地服务不可用时的回退，也可由管理员手动指定）",
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"endpoint": "/audio/transcriptions",
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"model": "XingChenAGI/XingChenASR-Diarize-V3.0",
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"provider": "siliconflow",
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"short_model_name": "XingChen ASR Diarize",
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"short_route_name": "SiliconFlow",
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"supports_speakers": true,
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"timeout_seconds": 600
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},
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"audio_route_siliconflow_qwen3": {
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"description": "语音转写 · SiliconFlow / Qwen3-ASR（云端，音频会出公网；无说话人分离）",
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"endpoint": "/audio/transcriptions",
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"model": "Qwen/Qwen3-ASR-1.7B",
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"provider": "siliconflow",
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"short_model_name": "Qwen3 ASR",
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"short_route_name": "SiliconFlow",
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"supports_speakers": false,
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"timeout_seconds": 600
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}
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},
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"chat_routes": {
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"chat_route_lmuai_deepseek_v4_flash": {
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"description": "LMUAI / DeepSeek Flash。max_tokens 从 4096 提到 32768（2026-09-26）：4096 是当初只按「聊天」估的，但这条路由是 default_route，用户在对话框里选过模型后这个选择会被记进 localStorage 并**一路带到技能内部的加工步骤**（全仓库只有语音转写的第 3、4 步消费 ai_route_id，见 skills/api/audio_handlers.go 的 resolveAudioChatRoute）。于是它会顶掉技能自带的 _doc 路由，让「整理段落」在推理模型思考完之前就把预算耗光、正文 0 字。上限是天花板不是配额，模型写完就停，抬高不会让聊天变慢变贵（实测见 _doc 那条的说明）",
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"endpoint": "/chat/completions",
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"max_tokens": 32768,
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"model": "deepseek-v4-flash",
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"provider": "lmuai",
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"short_model_name": "DeepSeek V4 Flash",
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"short_route_name": "LMUAI",
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"temperature": 0.7
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},
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"chat_route_lmuai_deepseek_v4_flash_doc": {
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"description": "LMUAI / DeepSeek Flash（长文输出档，max_tokens=32768）· 供逐字稿整理这类要产出一整篇文档的技能使用。为什么不复用上面那条 4096 的：这是推理模型，思考与正文共用 max_tokens，而思考的长度跟输入几乎不成比例（实测 1200 字的输入，思考照样写到 7169 字）。4096 下正文一个字都写不出来（六次实测只有一次成功）。再说为什么是 32768 而不是 8192：纪要步骤最后要把各段结果**归并**成一份，那是全流程最长的一次输入（实测 8628 字），8192 下 finish_reason=length、正文 0 字，16384 才出稿、32768 又快又稳。上限提高**不会**让逐块调用变慢或变贵——上限是天花板不是配额，模型写完就停：实测同一批 11 段，8192 与 32768 两档的用时（18.6s / 19.2s）与 completion token（均 4928 / 5094）基本一致。调小这个值之前请先看 audio_transcribe/prompts.go 里的实测表",
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"endpoint": "/chat/completions",
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"max_tokens": 32768,
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"model": "deepseek-v4-flash",
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"provider": "lmuai",
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"short_model_name": "DeepSeek V4 Flash（长文档）",
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"short_route_name": "LMUAI",
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"temperature": 0.7
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},
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"chat_route_ollama_qwen": {
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"description": "本地对话 · llama.cpp / Qwen3.5 4B",
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"endpoint": "/chat/completions",
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"max_tokens": 512,
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"model": "Qwen3.5-4B-Q4_K_M.gguf",
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"provider": "llamacpp",
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"short_model_name": "Qwen3.5 4B",
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"short_route_name": "本地对话",
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"temperature": 0.7,
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"timeout_seconds": 90
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},
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"chat_route_ollama_qwen_fast": {
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"description": "本地快聊 · llama.cpp / Qwen3.5 4B",
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"endpoint": "/chat/completions",
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"max_tokens": 512,
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"model": "Qwen3.5-4B-Q4_K_M.gguf",
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"provider": "llamacpp",
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"short_model_name": "Qwen3.5 4B",
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"short_route_name": "本地快聊",
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"temperature": 0.3
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},
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"chat_route_openrouter_deepseek_v3": {
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"description": "OpenRouter / DeepSeek V3.2",
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"endpoint": "/chat/completions",
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"max_tokens": 4096,
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"model": "deepseek/deepseek-v3.2",
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"provider": "openrouter",
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"short_model_name": "DeepSeek V3.2",
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"short_route_name": "OpenRouter",
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"temperature": 0.6
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},
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"chat_route_openrouter_deepseek_v4_flash": {
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"description": "OpenRouter / DeepSeek V4 Flash 0731",
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"endpoint": "/chat/completions",
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"max_tokens": 4096,
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"model": "deepseek/deepseek-v4-flash-0731",
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"provider": "openrouter",
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"short_model_name": "DeepSeek V4 Flash 0731",
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"short_route_name": "OpenRouter",
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"temperature": 0.7
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},
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"chat_route_openrouter_gpt_5": {
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"description": "OpenRouter / GPT 5.4",
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"endpoint": "/chat/completions",
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"max_tokens": 8192,
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"model": "openai/gpt-5.4",
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"provider": "openrouter",
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"short_model_name": "GPT 5.4",
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"short_route_name": "OpenRouter",
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"temperature": 0.7
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},
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"chat_route_openrouter_grok_4": {
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"description": "OpenRouter / Grok 4.20",
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"endpoint": "/chat/completions",
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"max_tokens": 4096,
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"model": "x-ai/grok-4.20",
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"provider": "openrouter",
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"short_model_name": "Grok 4.20",
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"short_route_name": "OpenRouter",
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"temperature": 0.6
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},
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"chat_route_siliconflow_deepseek_v4_flash": {
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"description": "SiliconFlow / DeepSeek V4 Flash",
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"endpoint": "/chat/completions",
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"max_tokens": 4096,
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"model": "deepseek-ai/DeepSeek-V4-Flash",
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"provider": "siliconflow",
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"short_model_name": "DeepSeek V4 Flash",
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"short_route_name": "SiliconFlow",
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"temperature": 0.7
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}
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},
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"default_audio_route": "audio_route_local_whisper",
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"default_embed_route": "embed_route_llamacpp_nomic",
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"default_route": "chat_route_lmuai_deepseek_v4_flash",
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"description": "eai_agentplatform AI 路由配置 — 按场景分类定义多条路由，支持 provider/模型切换",
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"embed_routes": {
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"embed_route_llamacpp_nomic": {
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"base_url": "http://127.0.0.1:8081/v1",
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"description": "本地向量 · llama.cpp / Nomic Embed v1.5",
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"endpoint": "/embeddings",
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"model": "nomic-embed-text-v1.5.Q4_K_M.gguf",
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"provider": "llamacpp",
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"short_model_name": "Nomic Embed v1.5",
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"short_route_name": "本地向量",
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"timeout_seconds": 30
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},
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"embed_route_ollama_bge_m3": {
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"description": "本地向量 · Ollama / BGE-M3",
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"endpoint": "/embeddings",
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"model": "bge-m3",
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"provider": "ollama",
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"short_model_name": "BGE-M3",
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"short_route_name": "本地向量"
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},
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"embed_route_openrouter_text_v3": {
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"description": "OpenRouter / text-embedding-3-small",
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"endpoint": "/embeddings",
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"model": "openai/text-embedding-3-small",
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"provider": "openrouter",
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"short_model_name": "text-embedding-3-small",
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"short_route_name": "OpenRouter"
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}
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},
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"fallback_routes": {
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"chat_route_lmuai_deepseek_flash": [
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"chat_route_ollama_qwen_fast",
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"chat_route_ollama_qwen"
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],
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"chat_route_openrouter_deepseek_v3": [
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"chat_route_openrouter_grok_4",
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"chat_route_ollama_qwen"
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],
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"chat_route_openrouter_deepseek_v4_flash": [
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"chat_route_openrouter_deepseek_v3",
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"chat_route_openrouter_grok_4",
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"chat_route_ollama_qwen"
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],
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"chat_route_openrouter_grok_4": [
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"chat_route_ollama_qwen"
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],
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"chat_route_siliconflow_deepseek_v4_flash": [
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"chat_route_ollama_qwen_fast",
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"chat_route_ollama_qwen"
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],
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"audio_route_local_whisper": [
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"audio_route_siliconflow_diarize"
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],
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"embed_route_llamacpp_nomic": [
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"embed_route_openrouter_text_v3"
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],
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"embed_route_ollama_bge_m3": [
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"embed_route_openrouter_text_v3"
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],
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"embed_route_openrouter_text_v3": [
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"embed_route_ollama_bge_m3"
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]
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},
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"image_routes": {
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"image_route_ollama_llava": {
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"description": "本地图像 · Ollama / LLaVA",
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"endpoint": "/chat/completions",
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"max_tokens": 2048,
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"model": "llava",
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"provider": "ollama",
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"short_model_name": "LLaVA",
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"short_route_name": "本地图像",
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"temperature": 0.7
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},
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"image_route_openrouter_flux": {
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"description": "OpenRouter / FLUX 1.1 Pro",
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"endpoint": "/images/generations",
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"max_tokens": 1024,
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"model": "black-forest-labs/flux-1.1-pro",
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"provider": "openrouter",
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"short_model_name": "FLUX 1.1 Pro",
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"short_route_name": "OpenRouter",
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"temperature": 1
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},
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"image_route_openrouter_gpt_image_2": {
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"description": "OpenRouter / GPT 5.4 Image 2",
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"endpoint": "/images/generations",
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"max_tokens": 4096,
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"model": "openai/gpt-5.4-image-2",
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"provider": "openrouter",
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"short_model_name": "GPT 5.4 Image 2",
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"short_route_name": "OpenRouter",
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"temperature": 1
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}
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},
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"video_routes": {
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"video_route_openrouter_veo_3": {
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"description": "OpenRouter / Google Veo 3",
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"endpoint": "/videos/generations",
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"model": "google/veo-3",
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"max_tokens": 4096,
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"provider": "openrouter",
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"short_model_name": "Veo 3",
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"short_route_name": "OpenRouter",
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"temperature": 0.7
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}
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},
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"version": "2.1.0"
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}
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