- 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.
26 lines
594 B
Mako
26 lines
594 B
Mako
"""${message}
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Revision ID: ${up_revision}
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Revises: ${down_revision | comma,n}
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Create Date: ${create_date}
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"""
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from typing import Sequence, Union
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from alembic import op
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import sqlalchemy as sa
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${imports if imports else ""}
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revision: str = ${repr(up_revision)}
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down_revision: Union[str, None] = ${repr(down_revision)}
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branch_labels: Union[str, Sequence[str], None] = ${repr(branch_labels)}
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depends_on: Union[str, Sequence[str], None] = ${repr(depends_on)}
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def upgrade() -> None:
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${upgrades if upgrades else "pass"}
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def downgrade() -> None:
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${downgrades if downgrades else "pass"}
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