Fixed runtime bug where _prepare_file_content_for_prompt was called
without required model_context parameter, causing RuntimeError when
processing requests with relevant_files.
- Create ModelContext instance with model_name in _consult_model method
- Pass model_context parameter to _prepare_file_content_for_prompt call
- Add comprehensive regression test to prevent future occurrences
- Maintain consensus tool's blinded design with independent model contexts
- Fix ModelContext constructor call in consensus tool (remove invalid parameters)
- Refactor temperature pattern matching for better readability per code review
- All tests now passing (799/799 passed)
- Fix consensus tool hardcoded temperature=0.2 bypassing model capabilities
- Add intelligent temperature inference for unknown custom models
- Support multi-model collaboration (O3, Gemini, Claude, Mistral, DeepSeek)
- Only OpenAI O-series and DeepSeek reasoner models reject temperature
- Most reasoning models (Gemini Pro, Claude, Mistral) DO support temperature
- Comprehensive logging for temperature decisions and user guidance
Resolves: https://github.com/BeehiveInnovations/zen-mcp-server/issues/245
Disabled secondary tools by default (for new installations), updated README.md with instructions on how to enable these in .env
run-server.sh now displays disabled / enabled tools (when DISABLED_TOOLS is set)
fix: Minor tweaks to prompts
fix: Improved support for smaller models that struggle with strict structured JSON output
Rearranged reasons to use the MCP above quick start (collapsed)
- 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
This commit updates all references to Claude Opus 4 and Sonnet 4 to their newer 4.1 versions throughout the codebase.
The changes include:
- Updating model names in `conf/custom_models.json` and `providers/dial.py`.
- Updating aliases and descriptions to match the new model versions.
- Updating `.env.example` to reflect the new model names.
- Updating all relevant test suites to use the new model names and ensure all tests pass.
The PR template was outdated and misaligned with the actual workflow behavior
introduced in PR #217. Key fixes:
- **Semantic Release**: Now matches pyproject.toml configuration
- feat → MINOR, fix/perf → PATCH (not refactor)
- Added missing 'build' type from allowed_tags
- Fixed breaking change syntax (feat\!, BREAKING CHANGE: in body)
- Removed incorrect 'breaking:' prefix format
- **Docker Builds**: Clarified independence from versioning
- Builds trigger on file changes (Python, Docker files)
- Manual triggering via 'docker-build' label
- Removed misleading 'trigger Docker build + version bump' claims
- **Conventional Commits**: Added link to official specification
The template now accurately reflects the semantic-release config and
docker-pr.yml workflow implementation, preventing contributor confusion.
The manual version bumping script (scripts/bump_version.py) is now obsolete
since PR #217 introduced semantic-release automation for version management.
- Removed scripts/ directory and bump_version.py script
- Updated .dockerignore to remove reference to deleted script
Semantic versioning is now handled automatically by GitHub Actions workflows
using conventional commits and semantic-release tooling.
