busya
f87ebf5d4b
- 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
20 lines
573 B
Docker
20 lines
573 B
Docker
# Dockerfile.agent — Gradio + LangGraph agent backend
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FROM python:3.11-slim
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WORKDIR /app
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# Install system deps for pdfplumber
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RUN apt-get update && apt-get install -y --no-install-recommends \
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libgl1 libglib2.0-0 && rm -rf /var/lib/apt/lists/*
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COPY requirements.txt .
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RUN pip install --no-cache-dir -r requirements.txt \
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gradio>=5.0 langgraph>=0.2 langchain-core>=0.3 \
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langchain-openai>=0.3 langgraph-checkpoint-postgres pdfplumber
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# Gradio server
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ENV GRADIO_SERVER_NAME=0.0.0.0
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ENV GRADIO_SERVER_PORT=7860
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CMD ["python", "-m", "backend.src.agent.run"]
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