- Updated .env.example to include Asterisk templates path.
- Modified docker-compose.yml to mount the templates directory.
- Enhanced backend Dockerfile to copy templates into the container.
- Introduced Asterisk diagnostics functionality in asterisk_profiles.py, allowing for baseline checks and diagnostics reporting.
- Integrated Asterisk diagnostics into the device diagnostics workflow in graph.py.
- Added formatting for Asterisk baseline drift reports in diagnostic_format.py.
- Updated SKILL.md to document new config baseline drift feature for Asterisk.
This commit enhances the system's capabilities for managing Asterisk configurations and diagnostics, improving overall troubleshooting processes.
- 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.
