Add rulebook RAG pipeline and LLM-driven game setup wizard
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>
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"""add rulebook_chunks (pgvector RAG)
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Revision ID: 7c3f9a2e1d44
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Revises: 48846ed4fe0e
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Create Date: 2026-08-31 19:00:00.000000
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"""
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from typing import Sequence, Union
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from alembic import op
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import sqlalchemy as sa
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from sqlalchemy.dialects import postgresql
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from pgvector.sqlalchemy import Vector
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# revision identifiers, used by Alembic.
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revision: str = '7c3f9a2e1d44'
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down_revision: Union[str, None] = '48846ed4fe0e'
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branch_labels: Union[str, Sequence[str], None] = None
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depends_on: Union[str, Sequence[str], None] = None
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def upgrade() -> None:
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op.execute("CREATE EXTENSION IF NOT EXISTS vector")
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op.create_table(
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'rulebook_chunks',
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sa.Column('id', sa.UUID(), nullable=False),
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sa.Column('source_document', sa.String(length=200), nullable=False),
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sa.Column('chunk_index', sa.Integer(), nullable=False),
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sa.Column('content', sa.Text(), nullable=False),
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sa.Column('embedding', Vector(384), nullable=False),
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sa.Column('doc_metadata', postgresql.JSONB(astext_type=sa.Text()), nullable=False),
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sa.PrimaryKeyConstraint('id'),
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)
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op.create_index(
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op.f('ix_rulebook_chunks_source_document'), 'rulebook_chunks', ['source_document'], unique=False
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)
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def downgrade() -> None:
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op.drop_index(op.f('ix_rulebook_chunks_source_document'), table_name='rulebook_chunks')
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op.drop_table('rulebook_chunks')
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op.execute("DROP EXTENSION IF EXISTS vector")
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