* feat(middleware): reposition code interpreter middleware in the stack
* feat(models): add qwen3.7-plus model entry and update context window comment
* feat(models): add qwen3.7-max and qwen3.7-plus model entries for DashScope
* feat(auxiliary): implement auxiliary model support for background tasks and tool selection
- Added auxiliary model configuration to EvoScientistConfig.
- Introduced _ensure_auxiliary_chat_model function to manage auxiliary model instances.
- Updated onboarding steps to include auxiliary model selection.
- Modified middleware to route tool selection to the auxiliary model when applicable.
- Enhanced tests to cover auxiliary model functionality and configuration.
* feat(steps): update UI backend selection options and descriptions
* Refactor code structure for improved readability and maintainability
* feat(patches): implement OpenRouter response reasoning item stripping to prevent multi-turn errors
* feat: update version to v0.1.4 in badges, README, and pyproject.toml; adjust skill counts in steps.py
* feat(config): add auxiliary model and provider environment variables to test setup
* fix(chat): resolve model switch lag by tracking model/provider key for cache invalidation
* style: format set_chat_model function for improved readability
* fix(chat): improve model switching logic to prevent unnecessary cache rebuilds
* fix(model): ensure globals are restored on agent load failure to prevent model switch issues
* feat: Add context management middleware for improved error handling and context editing
* feat: Implement LLMToolSelectorMiddleware for enhanced tool selection and tracking
* feat(tests): update test functions to include mock timestamp parameter
* refactor: simplify tool selection state storage and update comments in middleware
* feat: Enhance tool selection handling and suppress structured output for improved event streaming
* refactor: simplify patching in test_create_tool_selector functions
* feat: add model parameter to create_tool_selector_middleware for enhanced flexibility
* feat: enhance tool selection suppression with JSON buffering for improved accuracy