- Added configuration options for requiring human approval before applying LLM-generated MCP patches. - Updated Docker setup to include skills directory. - Integrated skills management into the backend, allowing for procedural guides and skill matching. - Refactored database initialization to apply Alembic migrations. - Enhanced task approval process to handle MCP patch applications with optional approval. - Introduced new schemas for skills and updated existing APIs to support skills functionality. This commit lays the groundwork for improved agent capabilities and better management of MCP development processes.
4 lines
100 B
Python
4 lines
100 B
Python
"""Agent package — import submodules directly (e.g. app.agent.graph)."""
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__all__: list[str] = []
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