468bdb9000
fix(agent): resolve missing imports — jose, auth config, AUTH_SECRET_KEY
...
- Added python-jose[cryptography] to requirements-agent.txt
- Made sqlalchemy.orm.Session and TokenBlacklist imports lazy in jwt.py
so decode_token works without pulling ORM models into agent image
- Added src/core/auth/__init__.py, config.py, jwt.py to agent Dockerfile COPY
- Added AUTH_SECRET_KEY env var to agent compose (reads from JWT_SECRET)
2026-07-06 12:13:26 +03:00
628805503b
refactor(docker): split requirements by role, slim enterprise bundle by default
...
Split requirements.txt into role-specific files:
- requirements-backend.txt — FastAPI API runtime
- requirements-agent.txt — Gradio/LangGraph agent (no embeddings)
- requirements-embeddings.txt — opt-in sentence-transformers
Default enterprise bundle (./build.sh bundle) builds slim agent without
sentence-transformers/torch (~500 MB saved). Embeddings opt-in via
./build.sh bundle:embeddings <tag>. Embedding router degrades gracefully
when package is absent (ImportError catch in _embedding_router.py).
Updated Dockerfiles:
- backend.Dockerfile → requirements-backend.txt
- Dockerfile.agent → requirements-agent.txt + WITH_EMBEDDINGS build arg
- all-in-one.Dockerfile → requirements-backend.txt
Added embeddings variant to build.sh with full manifest/digest output.
Hardened .dockerignore (cache, report, model, archive patterns).
Other branch work: align git route mocks with async services, remove
legacy agent test files superseded by contract tests.
2026-07-06 10:06:07 +03:00
997329e2a5
fix(agent): resolve ModuleNotFoundError for backend, add E2E test infra
...
- Dockerfile.agent: fix CMD (python -m src.agent.run), use backend/requirements.txt,
minimal COPY (only src.agent + src.core.cot_logger), add GRACE contract
- docker-compose.yml: SERVICE_TOKEN_SECRET -> SERVICE_JWT (match code)
- docker-compose.enterprise-clean.yml: same env var fix
- docker/.env.agent.example: same env var fix
- build.sh: same env var fix
- chore: semantics-testing SKILL.md, backend tests, pyproject.toml
2026-06-14 15:41:46 +03:00
f87ebf5d4b
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
2026-06-10 10:27:19 +03:00
