- Add _get_version_from_pyproject() function to config.py
- APP_VERSION now uses default_factory to load from pyproject.toml
- Add pyproject.toml to Docker build for version detection
- Add LIBRARY_DESK configuration settings
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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Add SEARXNG_HOST config with localhost:8087 default
- Add SEARXNG_TIMEOUT setting (30 seconds default)
- Update .env.example with SearXNG configuration
- Supports both local and production SearXNG instances
Version increment to mark basic setup completion milestone.
Changes:
- Updated APP_VERSION to 0.1.1 in src/core/config.py
- Released CHANGELOG.md [Unreleased] section as [0.1.1]
- Updated version links to use git.schweitz.net repository
This version represents the completion of all core infrastructure:
- Agent interface and implementations
- Responses API with full feature set
- Chat Completions wrapper
- Comprehensive test coverage (95 tests, 78.95%)
- Production-ready architecture
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Co-Authored-By: Claude <noreply@anthropic.com>
Implement global application configuration and custom Pydantic models
following FastAPI best practices.
Core Configuration (src/core/config.py):
- BaseSettings with environment variable support
- Split configuration by domain (following best practices)
- Ollama connection settings (host, model, timeouts)
- API configuration (host, port, prefix)
- CORS settings
- 20-second streaming timeout per turn
- Cached configuration with @lru_cache
Custom Base Models (src/core/models.py):
- CustomBaseModel for consistent serialization
- ISO datetime formatting
- Alias population support
- Enum value serialization
- Validation on assignment
- serializable_dict() for logging/debugging
Exception Handling (src/core/exceptions.py):
- Base AppException with status codes
- OllamaConnectionError (503)
- OllamaTimeoutError (504)
- ModelNotFoundError (404)
- ValidationError (422)
- OpenAI-compatible error structure
Benefits:
- Consistent configuration across domains
- Type-safe settings with validation
- Easy environment override via .env
- Predictable error responses
- Better debugging with serializable models
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Co-Authored-By: Claude <noreply@anthropic.com>
jpmschweitzerandClaude Opus 4.5