- Fix o3-pro response parsing to use output_text convenience field
- Replace respx with custom httpx transport solution for better reliability
- Implement comprehensive PII sanitization to prevent secret exposure
- Add HTTP request/response recording with cassette format for testing
- Sanitize all existing cassettes to remove exposed API keys
- Update documentation to reflect new HTTP transport recorder
- Add test suite for PII sanitization and HTTP recording
This change:
1. Fixes timeout issues with o3-pro API calls (was 2+ minutes, now ~15-22 seconds)
2. Properly captures response content without httpx.ResponseNotRead exceptions
3. Preserves original HTTP response format including gzip compression
4. Prevents future secret exposure with automatic PII sanitization
5. Enables reliable replay testing for o3-pro interactions
Co-Authored-By: Claude <noreply@anthropic.com>
Add the Docker parameter to build the Zen MCP server Docker imag
Add environnement detection (Python vs Docker) to configure the MCP server command in MCP client settings
Add the Docker parameter to build the Zen MCP server Docker imag
Add environnement detection (Python vs Docker) to configure the MCP server command in MCP client settings
- Improved error handling and path resolution in run-server.ps1 for better reliability.
- Implemented conversation tests for Docker mode compatibility in validation_crossplatform.py.
- Updated run-server.ps1 to include detailed help documentation, configuration management, and backup retention for configuration files.
- Added Docker path validation tests in validation_crossplatform.py to ensure correct path handling in Docker mode.
- Enhanced integration test script run_integration_tests.ps1 with comprehensive documentation and parameter support for output customization.
- Introduced tests for Docker deployment scripts to ensure existence, permissions, and proper command usage.
- Added tests for Docker integration with Claude Desktop, validating MCP configuration and command formats.
- Implemented health check tests for Docker, ensuring script functionality and proper configuration in Docker setup.
- Created tests for Docker MCP validation, focusing on command validation and security configurations.
- Developed security tests for Docker configurations, checking for non-root user setups, privilege restrictions, and sensitive data handling.
- Added volume persistence tests to ensure configuration and logs are correctly managed across container runs.
- Updated .dockerignore to exclude sensitive files and added relevant tests for Docker secrets handling.
Added new confidence values (very_high, almost_certain) to all workflow tools
to provide more granular confidence tracking. Updated enum declarations in:
- analyze.py, codereview.py, debug.py, precommit.py, secaudit.py, testgen.py
- Updated debug.py's get_required_actions to handle new confidence values
- All tools now use consistent 7-value confidence scale
- refactor.py kept its unique scale (exploring/incomplete/partial/complete)
Also fixed model thinking configuration:
- Added very_high and almost_certain to MODEL_THINKING_PREFERENCES
- Set medium thinking for very_high, high thinking for almost_certain
- Updated prompts to clarify certain means 100% local confidence
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Implemented `run-server.ps1` for setting up the Zen MCP server environment, including virtual environment creation, dependency installation, and Docker cleanup.
- Added logging and error handling throughout the setup process.
- Included functions for validating API keys and configuring integration with Claude Desktop and Gemini CLI.
- Created `run_integration_tests.ps1` to execute integration tests with real API calls, including checks for API key availability and environment setup.
- Enhanced output with color-coded messages for better user experience.
Patch directory added for cross-platform patching support (`patch_crossplatform.py`).
