f2408b2b88
## Added
- Multi-provider LLM support with factory pattern (8 providers):
* OpenAI, Z.AI, OpenCode Zen, OpenRouter, Anthropic, Google, Mistral, Azure
- Authentication system: JWT + API Key dual-mode
- Provider management API (/api/v1/providers)
- Docker containerization (Dockerfile + docker-compose.yml)
- Updated documentation in main.py
## Modified
- Documents API: added authentication
- Query API: support for provider/model selection
- RAG service: dynamic LLM provider selection
- Config: multi-provider settings
## Infrastructure
- Qdrant vector store integration
- Redis support (optional)
- Health check endpoints
🚀 Ready for production deployment
51 lines
1.0 KiB
Docker
51 lines
1.0 KiB
Docker
# AgenticRAG Dockerfile
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# Multi-stage build for production
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FROM python:3.11-slim as builder
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WORKDIR /app
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# Install system dependencies
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RUN apt-get update && apt-get install -y \
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gcc \
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g++ \
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curl \
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&& rm -rf /var/lib/apt/lists/*
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# Install Python dependencies
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COPY requirements.txt .
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RUN pip install --no-cache-dir --user -r requirements.txt
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# Production stage
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FROM python:3.11-slim
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WORKDIR /app
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# Copy Python packages from builder
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COPY --from=builder /root/.local /root/.local
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# Make sure scripts in .local are usable
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ENV PATH=/root/.local/bin:$PATH
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# Copy application code
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COPY src/ ./src/
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COPY static/ ./static/
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# Create uploads directory
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RUN mkdir -p uploads
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# Environment variables
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ENV PYTHONPATH=/app/src
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ENV PYTHONDONTWRITEBYTECODE=1
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ENV PYTHONUNBUFFERED=1
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# Expose port
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EXPOSE 8000
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# Health check
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HEALTHCHECK --interval=30s --timeout=30s --start-period=5s --retries=3 \
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CMD curl -f http://localhost:8000/api/health || exit 1
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# Run the application
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CMD ["uvicorn", "agentic_rag.api.main:app", "--host", "0.0.0.0", "--port", "8000"]
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