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feat(persistence): add SQLAlchemy 2.0 async ORM scaffold
Introduce a unified database configuration (DatabaseConfig) that controls both the LangGraph checkpointer and the DeerFlow application persistence layer from a single `database:` config section. New modules: - deerflow.config.database_config — Pydantic config with memory/sqlite/postgres backends - deerflow.persistence — async engine lifecycle, DeclarativeBase with to_dict mixin, Alembic skeleton - deerflow.runtime.runs.store — RunStore ABC + MemoryRunStore implementation Gateway integration initializes/tears down the persistence engine in the existing langgraph_runtime() context manager. Legacy checkpointer config is preserved for backward compatibility. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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@@ -32,3 +32,6 @@ INFOQUEST_API_KEY=your-infoquest-api-key
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# GitHub API Token
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# GITHUB_TOKEN=your-github-token
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# Database (only needed when config.yaml has database.backend: postgres)
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# DATABASE_URL=postgresql://deerflow:password@localhost:5432/deerflow
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