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a0619ca049
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fix(agent): unify logging API + add molecular-cot coverage to agent module
Phase 1 — API unification:
- Replace direct log() from cot_logger with canonical logger.reason/reflect/explore
across _confirmation.py, _persistence.py, _tool_resolver.py, app.py
Phase 2 — Gap filling:
- tools.py: add REASON/REFLECT/EXPLORE to 17 C3 tool functions (was 0 logs)
- app.py agent_handler (C4): add lifecycle REASON on entry, REFLECT on exit,
EXPLORE on OutputParserException + general exception
- langgraph_setup.py create_agent (C4): add REASON with model/config_source,
EXPLORE on env-var/InMemorySaver fallback, REFLECT on graph compilation
- _tool_resolver.py infer_tool_from_text (C3, 13 branches): REASON on inference
- _persistence.py: REFLECT on save_conversation success, EXPLORE on prefetch
Phase 3 — Plain log migration:
- middleware.py: plain logger.info() -> logger.reason()
- run.py: 7 plain logger.info/warning/error -> molecular REASON/EXPLORE
Phase 4 — Cleanup:
- cot_logger.py: deprecate MarkerLogger (@DEPRECATED + @REPLACED_BY)
- molecular-cot-logging SKILL.md: remove cot_span Section IV (never implemented),
renumber sections V-VII -> IV-VI, add cot_span rejection rationale
Verification: pytest 27/27, axiom rebuild 5844/2993/0 warnings
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2026-06-30 15:48:46 +03:00 |
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f87ebf5d4b
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feat(agent): Gradio-powered LangGraph agent chat with streaming, tool calls, file upload, conversation persistence
- Gradio 5.50.0 ChatInterface with type='messages' streaming
- LangGraph create_react_agent with InMemorySaver checkpointer
- 4 @tool functions: search_dashboards, get_health_summary, list_environments, get_task_status
- Structured ChatMessage metadata (7 discriminator types: stream_token, tool_start/end/error, confirm_required, confirm_resolved, error)
- HITL resume via second submit() with interrupt_before/Command
- Dual-identity RBAC: service JWT + user JWT for tool calls
- File upload (10 MB limit, pdfplumber/xlsx/JSON parser)
- Conversation persistence via POST /api/agent/conversations/save
- REST API: list, history, archive conversations; multi-tab gate; LLM config
- LLM provider selection via Admin -> LLM Settings (assistant_planner_provider)
- Svelte 5 AgentChatModel with stream event queue, dedup, stream_status watcher
- MarkdownRenderer using svelte-markdown with semantic Tailwind tokens
- ToolCallCard (3 states: executing/completed/failed)
- ConversationList with search, date grouping, infinite scroll
- ConnectionIndicator with Gradio health status
- /agent route with two-column layout
- Vite proxy /api/agent/gradio -> Gradio SSE
- Fixed: not_() SQLAlchemy operator, route collision with _admin_routes
- Fixed: conversation_id -> id normalization, .pyc cache staleness
- Fixed: event.data array parsing (Gradio returns [jsonStr, null])
- Requirements pinned: gradio==5.50.0, pydantic>=2.7,<=2.12.3
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2026-06-10 10:27:19 +03:00 |
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