- 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.
14 lines
254 B
Python
14 lines
254 B
Python
"""Shared pytest fixtures."""
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from __future__ import annotations
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import pytest
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@pytest.fixture(autouse=True)
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def _clear_settings_cache():
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from app.config import get_settings
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get_settings.cache_clear()
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yield
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get_settings.cache_clear()
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