QihuAI Design
037c965c26
feat(engine): #873 dual-Claw event contract + SseAdapter/BufferAdapter + chat.py SSE delegate + im_llm EngineCore thin-shell (gray-gated)
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- app/core/engine_event.py (#880 ): EngineEvent dataclass + make_* factories, single construction entry, byte-compatible wire with legacy ChatPage.tsx
- app/core/claw_adapters.py (#884 ): SseAdapter (hot frames zero-metadata, terminal keeps trace_id) + BufferAdapter (assemble() preserves __media__)
- app/api/chat.py (#881 ): /messages/stream now delegates to SseAdapter; wire bytes unchanged (46B delta / done+message_id)
- app/api/im_llm.py (#883 ): IM_USE_ENGINE_CORE gray gate; _call_engine_core reuses EngineCore via BufferAdapter (default OFF, preserves media fast-path)
- app/api/chat_service.py: capture 3 container-ahead fixes (stray import asyncio removed, logger.info format, LiteLLM master key)
2026-08-04 12:25:12 +08:00
QihuAI Design
29a1ce2e54
fix: 双Claw能力对齐 + MCP/LLM代理绕过(P0止血)
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- 新增 app/core/capability_discovery.py:统一能力发现层,Web/IM 双Claw共用单一实现
(三级降级:用户安装 → 平台published → 相关性裁剪;MCP 自动挂载已启用服务)
- im_llm.py:IM Bot Claw 改用统一发现层,恢复 skills(12) + MCP(26工具) 能力,
修复 #866 部署回退导致的 agents=[]/mcp=[] 回归;mcp__ 前缀分流到 call_mcp_tool
- mcp_client.py:注入 httpx_client_factory(trust_env=False) 绕过容器 HTTP_PROXY,
修复外部 MCP(xiaobenyang.com / anysearch.com) tools/list 全部静默失败(mcp_tools 0→26)
- llm_client.py / im_bot_user.py:2026-07-31 代理劫持内部请求 + 媒体断连修复(随镜像已上线)
2026-08-04 10:21:19 +08:00
QihuAI Design
9a43ee244d
fix(im_llm): 代理绕过Docker内部hostname
2026-07-31 08:51:15 +08:00
QihuAI Design
771c8456b8
chore: normalize line endings to LF via .gitattributes
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Root-cause fix for mixed CRLF/LF in the repo (no .gitattributes previously).
Adds '* text=auto eol=lf' and explicit binary rules so all future checkouts
are LF. Renormalizes all tracked text files (no logical content change).
Backup tags: image qihuaiflow:backup-lineend-20260725-121632, git backup-lineend-pre-20260725-121632.
2026-07-25 12:16:39 +08:00
QihuAI Design
e8a1791c9f
chore(align): sync Git with running container as authoritative source
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Standards alignment (STANDARDS_AUDIT_2026-07-24): Phase 1 标准化核心 +
Phase 2 质量层 landed in the running container and captured in Git so the
three sources (container := image := Git) agree.
Backend (Phase 1 标准化核心):
- mcp_client.py: replaced hand-rolled JSON-RPC with official `mcp` SDK
(ClientSession, streamable_http/sse transports, protocol auto-negotiation)
- core/otel.py + core/observability.py: standard OpenTelemetry SDK bridge
(OTLP gRPC), wired to Grafana Alloy (qihu-aiflow-alloy:4317) which forwards
metrics to Prometheus; emits aiflow_span_duration_ms / aiflow_span_count
- deployments: Grafana Alloy container + Prometheus remote-write receiver
Backend (Phase 2 质量层):
- core/rag_pipeline.py: standardized RAG (recursive overlap chunking +
rerank hook) reusing pgvector_search
- core/llm_client.py: SDK-ified LLM + embeddings (aembed/embed) collapsing
hand-rolled httpx calls; trust_env=False to bypass container proxy
Migrations:
- 018_normalize_marketapp_scene.sql: fixed capability allowlist
(prevents capability wipe on restart)
Alignment performed 2026-07-24 12:18:51. No deletions; secrets/venv/node_modules/
caches were not touched (tracked-source-only copy).
2026-07-24 12:18:52 +08:00
QihuAI Design
26075272d6
chore(align): sync Git with running container as authoritative source
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One-time alignment to close drift between the running container
(qihu-aiflow / image qihuaiflow:with-deps) and this Git repository.
Container hotfixes previously persisted only via `docker commit` are now
captured in Git so Git becomes the single source of truth.
Backend:
- chat_service.py: accumulated fixes incl. EigenFlux README guidance
- chat_context.py / chat_media.py: URL/web-repo context injection
- api/url_reader.py: NEW SSRF-safe web/README reader (Issue #725 )
- skills_admin.py & Skills.tsx: 14-scene capability unification
- pgvector_search.py, orchestrator.py, platform_knowledge.py,
market.py, admin/models.py: drift sync
Frontend:
- ChatPage.tsx: collapsible AI think/act block (Issue #724 )
- MarketPage / EvolutionDashboard / TokenDashboard styling sync
Migrations:
- 018_normalize_marketapp_scene.sql: fixed capability allowlist
(prevents capability wipe on restart)
Alignment performed 2026-07-23 22:42:43. No deletions; secrets/venv/node_modules/
caches were not touched (tracked-source-only copy).
2026-07-23 22:42:46 +08:00
QihuAI Design
2969544d54
feat(observability): Phase2.3 媒体/LLM 可观测面板(后端归因聚合+前端页) 并修复 token_usage_logs trace_id 写入(chat_service/im_llm) [v2026.07.19.5]
CI / gate (push) Has been cancelled
2026-07-19 10:18:14 +08:00
QihuAI Design
ce81297159
fix: 修复技能市场分页、后台Skills管理、微信Bot图片生成超时
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1. MarketPage.tsx: getApps 加 page_size=100,修复只显示20条
2. skills_admin.py: list_skills 同时查询 market_apps(type=skill)
解决前台导入50个技能后台看不到(前后台用不同表)
3. im_llm.py: _run_async 加 timeout 参数,_call_real_llm 媒体生成
5分钟超时保护,解决微信Bot图片生成无限期挂住的问题
2026-07-16 15:10:50 +08:00
QihuAI Design
da89a27bca
fix(wechat-bot): ①对话时间统一北京时间 ②媒体内联发送(微信直看图片/视频) ③媒体生成计入Token驾驶舱 ④清空技能市场
2026-07-15 23:37:30 +08:00
QihuAI Design
7739f17594
fix(wechat-bot): 修复 AGNES 媒体生成失败——优化步骤相对导入路径错误(从未生效)+ 国内模型直连 + 内容策略重试
2026-07-15 22:04:22 +08:00
QihuAI Design
fd2011b93e
fix: AGNES 三个模型改走香港代理(实测延迟更低、更稳定)
2026-07-15 20:17:44 +08:00
deploy
ccc5f799e1
fix(media): AGNES 图像/视频生成加韧性层——指数退避重试+友好错误翻译+Bot解析加固
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根因(实测复现): AGNES 外部服务不稳定, 非平台代码问题:
- 视频创建常返 500 publish_video_queue_failed / context deadline exceeded
- 连接偶发重置 Server disconnected
- 视频硬限频 每分钟 1 次 (429 rate limit)
改动:
1. chat.py 新增 _agnes_post_json(): 对 5xx/连接中断做 3 次指数退避重试(2/4s);
4xx(参数错误)不重试直接返回
2. 新增 _friendly_media_err(): 把 AGNES 原始 HTTP/JSON 错误
转译为对用户友好的中文(限频/连接失败/队列繁忙), 不再透传原始报错
3. _generate_media 图像/视频分支改用上述重试+友好错误
4. im_llm.py Bot 媒体结果解析加固: strip 后判 <img>/<video>,
成功返回干净链接; 失败透传友好中文, 绝不把原始提示词/标签甩给用户
验证(容器内实测):
- WEB_IMG OK / WEB_VID OK / BOT_IMG OK (均返回真实 png/mp4)
- 429/断开/队列三类错误均正确转译为友好中文
2026-07-15 19:58:06 +08:00
deploy
148e4a21c2
fix: 全面修复6项问题——Auto模型路由/媒体提示词优化/微信Bot/Token驾驶舱/技能市场清空
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1. resolve_auto_model: image/video/audio无显式默认时自动发现启用模型(原返回None→文本模型回退→AI说无法生成)
2. 新增_optimize_media_prompt: 调用文本LLM精炼用户原始输入为AGNES高质量提示词(去除对话噪音+英文优化)
3. detect_media_intent: 扩展关键词覆盖多轮对话模式(做图片/生成个图/画一下/制作视频等)
4. chat.py+im_llm.py: 所有httpx调用补trust_env=False+_proxy_for_url, 规避容器坏代理
5. token_usage.py: 模型名回退链(model表→日志自带的model_name→auto标签), 不再显示unknown
6. skills_admin.py: 新增POST /batch-delete批量删除API(ids空则删全部)
7. 技能市场数据已清空, 用户可重新导入技能
2026-07-15 17:05:00 +08:00
QihuAI Design
996d5413da
fix: 修复AI聊天/IM多项问题(媒体直连+技能自动发现+agent/mcp上下文)
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- Issue4/7: 图像/视频生成对AGNES国内域名强制直连(trust_env=False),修复Server disconnected(代理172.18.0.1:7890返回502)
- Issue8: 修复_parse_skill_content缺失def导致的NameError;新增_discover_installed_skills默认技能自动发现
- Issue2/3: system prompt注入agent资料与mcp描述/endpoint
- Issue7: IM Bot制作图片走Auto路由媒体模型
2026-07-15 12:23:56 +08:00
QihuAI Design
ab54d7344c
refactor: 移除通用频道管理(LangBot)模块,IM Bot 改为直接对接;迁移 _call_real_llm 至 im_llm
2026-07-14 08:21:56 +08:00