RAG proxy that intercepts SkyrimNet LLM requests and enriches them with relevant Tamrielic lore from CHIM's Oghma Infinium database. Features: - FastAPI proxy compatible with OpenAI API - ChromaDB semantic search for lore retrieval - NPC profile extraction from SkyrimNet prompts - Google Sheets ingestion for CHIM's Oghma data - Kubernetes deployment manifests - Debug endpoint for RAG operation monitoring Collections ingested to iris-dev ChromaDB: - oghma_lore: 1951 entries (scholar knowledge) - oghma_basic: 1949 entries (commoner knowledge) - oghma_visual: 1151 entries (Omnisight perception) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
36 lines
867 B
Docker
36 lines
867 B
Docker
# Oghma RAG Proxy - Container Image
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FROM python:3.11-slim
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LABEL maintainer="dafit@eachpath.local"
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LABEL description="RAG Proxy for SkyrimNet - Injects Tamrielic lore into NPC conversations"
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# Set working directory
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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 --no-install-recommends \
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curl \
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&& rm -rf /var/lib/apt/lists/*
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# Copy project files
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COPY pyproject.toml .
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COPY src/ ./src/
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COPY config.yaml .
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# Install Python dependencies
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RUN pip install --no-cache-dir -e .
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# Create non-root user
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RUN useradd -m -u 1000 oghma
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USER oghma
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# Expose port
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EXPOSE 8100
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# Health check
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HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
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CMD curl -f http://localhost:8100/health || exit 1
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# Run the proxy
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CMD ["python", "-m", "uvicorn", "oghma_proxy.main:app", "--host", "0.0.0.0", "--port", "8100"]
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