feat: Azure OpenAI / Azure AI Foundry support. Models should be defined in conf/azure_models.json (or a custom path). See .env.example for environment variables or see readme. https://github.com/BeehiveInnovations/zen-mcp-server/issues/265
feat: OpenRouter / Custom Models / Azure can separately also use custom config paths now (see .env.example )
refactor: Model registry class made abstract, OpenRouter / Custom Provider / Azure OpenAI now subclass these
refactor: breaking change: `is_custom` property has been removed from model_capabilities.py (and thus custom_models.json) given each models are now read from separate configuration files
- Set version to 5.8.6 in pyproject.toml to match config.py
- Add automatic version sync script for GitHub Actions
- Configure semantic-release for proper version tracking
- Ensure __updated__ field auto-updates with each release
- Remove redundant path checks between Path("conf/custom_models.json") and Path.cwd() variants
- Implement proper importlib.resources.files('conf') approach for robust packaging
- Create conf/__init__.py to make conf a proper Python package
- Update pyproject.toml to include conf* in package discovery
- Clean up verbose comments and simplify resource loading logic
- Fix test mocking to use correct importlib.resources.files target
- All tests passing (8/8) with proper resource and fallback functionality
Addresses all gemini-code-assist bot feedback from PR #227
- Convert virtual environment Python paths to absolute paths to ensure
consistency across different shell environments (Git Bash, WSL, etc.)
- Add enhanced diagnostic information when pip detection fails to help
users troubleshoot path and environment issues
- Improve error messages with specific guidance for different platforms
- Fix black configuration to exclude .zen_venv directory from formatting
- Add comprehensive test suite for pip detection edge cases
Fixes#188
* Migration from docker to standalone server
Migration handling
Fixed tests
Use simpler in-memory storage
Support for concurrent logging to disk
Simplified direct connections to localhost
* Migration from docker / redis to standalone script
Updated tests
Updated run script
Fixed requirements
Use dotenv
Ask if user would like to install MCP in Claude Desktop once
Updated docs
* More cleanup and references to docker removed
* Cleanup
* Comments
* Fixed tests
* Fix GitHub Actions workflow for standalone Python architecture
- Install requirements-dev.txt for pytest and testing dependencies
- Remove Docker setup from simulation tests (now standalone)
- Simplify linting job to use requirements-dev.txt
- Update simulation tests to run directly without Docker
Fixes unit test failures in CI due to missing pytest dependency.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
* Remove simulation tests from GitHub Actions
- Removed simulation-tests job that makes real API calls
- Keep only unit tests (mocked, no API costs) and linting
- Simulation tests should be run manually with real API keys
- Reduces CI costs and complexity
GitHub Actions now only runs:
- Unit tests (569 tests, all mocked)
- Code quality checks (ruff, black)
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
* Fixed tests
* Fixed tests
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Co-authored-by: Claude <noreply@anthropic.com>
