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>
32 lines
756 B
YAML
32 lines
756 B
YAML
services:
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postgres:
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image: pgvector/pgvector:pg16
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restart: unless-stopped
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environment:
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POSTGRES_USER: ${POSTGRES_USER}
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POSTGRES_PASSWORD: ${POSTGRES_PASSWORD}
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POSTGRES_DB: ${POSTGRES_DB}
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volumes:
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- pgdata:/var/lib/postgresql/data
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healthcheck:
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test: ["CMD-SHELL", "pg_isready -U ${POSTGRES_USER} -d ${POSTGRES_DB}"]
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interval: 5s
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timeout: 5s
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retries: 10
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backend:
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build: ./backend
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restart: unless-stopped
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env_file: .env
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volumes:
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- ./backend/app:/app/app
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command: ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000", "--reload"]
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depends_on:
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postgres:
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condition: service_healthy
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ports:
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- "8000:8000"
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volumes:
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pgdata:
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