Thorsten
419f5e3a89
RAG: switch Postgres to pgvector, chunk and embed the three D&D rulebooks locally via sentence-transformers, and retrieve relevant excerpts per DM turn (query = latest player message) to ground the system prompt. Retrieval runs off the event loop and is capped by a relevance threshold and a max character budget so it can't blow up context size or cost. Game setup wizard: creating a game now opens a short chat where the DM asks about genre, length, and the player's experience level, then proposes a name and description via a tool call. The player can edit both before creating the game. Stateless endpoint — the frontend carries the conversation, no DB needed since the game doesn't exist yet. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
20 lines
595 B
Docker
20 lines
595 B
Docker
FROM python:3.12-slim
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WORKDIR /app
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RUN apt-get update && apt-get install -y --no-install-recommends \
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libpq-dev gcc \
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&& rm -rf /var/lib/apt/lists/*
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COPY requirements.txt .
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# CPU-only torch first — sentence-transformers would otherwise pull the much larger CUDA wheels,
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# which are useless in this container and roughly double the image size.
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RUN pip install --no-cache-dir torch==2.5.1 --index-url https://download.pytorch.org/whl/cpu
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RUN pip install --no-cache-dir -r requirements.txt
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COPY . .
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EXPOSE 8000
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CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000"]
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