* changeset version bump
* Revise CHANGELOG for version 3.30.2
Updated changelog for version 3.30.2 with new features and fixes.
---------
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: Matt Rubens <mrubens@users.noreply.github.com>
* fix: eliminate UI flicker during task cancellation
- Modify ClineProvider.createTaskWithHistoryItem() to detect when rehydrating current task
- Implement in-place task replacement to avoid empty stack state that causes UI flicker
- Add comprehensive unit tests for flicker-free cancel behavior
- Maintain backward compatibility and proper event listener cleanup
Fixes the jarring navigation to home view when cancelling tasks
* fix: ensure proper garbage collection of old task during flicker-free rehydration
- Call abortTask(true) on old task before replacement to stop processes and mark as abandoned
- This ensures proper cleanup and prevents memory leaks during task cancellation
- Add test verification for abortTask cleanup
- Remove /create-pr built-in slash command from built-in-commands.ts
- Add CREATE_PR Support Prompt type with same functionality
- Update Chat UI button to use supportPrompt.create('CREATE_PR')
- Add CREATE_PR translations to all 17 locales
- Revert unrelated slash command tool changes to original state
- Add comprehensive tests for CREATE_PR prompt
The Create PR button now uses a customizable prompt template editable in Settings > Prompts, while maintaining the same user experience.
* feat: add OpenRouter embedding provider support
Implement comprehensive OpenRouter embedding provider support for codebase indexing with the following features:
- New OpenRouterEmbedder class with full API compatibility
- Support for OpenRouter's OpenAI-compatible embedding endpoint
- Rate limiting and retry logic with exponential backoff
- Base64 embedding handling to bypass OpenAI package limitations
- Global rate limit state management across embedder instances
- Configuration updates for API key storage and provider selection
- UI integration for OpenRouter provider settings
- Comprehensive test suite with mocking
- Model dimension support for OpenRouter's embedding models
This adds OpenRouter as the 7th supported embedding provider alongside OpenAI, Ollama, OpenAI-compatible, Gemini, Mistral, and Vercel AI Gateway.
* Add translation key
* Fix mutex double release bug
* Add translations
* Add more translations
* Fix failing tests
* code-index(openrouter): fix HTTP-Referer header to RooCodeInc/Roo-Code; i18n: add and wire OpenRouter Code Index strings; test: assert default headers in embedder
---------
Co-authored-by: daniel-lxs <ricciodaniel98@gmail.com>
* feat: convert Chutes to dynamic/router provider
- Add chutes to dynamicProviders array in provider-settings
- Add chutes entry to dynamicProviderExtras in api.ts
- Create fetcher function for Chutes models API
- Convert ChutesHandler to extend RouterProvider
- Update tests to work with dynamic provider setup
- Export chutesDefaultModelInfo for RouterProvider constructor
* fix: address security and code quality issues from review
- Fix potential API key leakage in error logging
- Add temperature support check before setting temperature
- Improve code consistency with RouterProvider patterns
* fix: add chutes to routerModels initialization
- Fix TypeScript error in webviewMessageHandler
- Ensure chutes is included in RouterName Record type
* Fixes
* Support reasoning
* Fix tests
* Remove reasoning checkbox
---------
Co-authored-by: Roo Code <roomote@roocode.com>
Co-authored-by: Matt Rubens <mrubens@users.noreply.github.com>
* feat: improve @ file search for large projects
- Increase default file limit from 5,000 to 10,000 (configurable up to 500,000)
- Respect VSCode search settings (useIgnoreFiles, useGlobalIgnoreFiles, useParentIgnoreFiles)
- Add 'maximumIndexedFilesForFileSearch' configuration setting
- Add tests for new functionality
Conservative default of 10k keeps memory usage low while still providing 2x
improvement. Users with large projects can opt-in to higher limits (up to 500k).
This is a simplified alternative to PR #5723 that solves the same problem
without the complexity of caching. Ripgrep is already fast enough for
10k+ files, and the benefit of caching doesn't justify 2,200+ lines of
additional code and maintenance burden.
Fixes#5721
* fix: add missing translations for maximumIndexedFilesForFileSearch setting
* test: improve file-search tests to verify configuration behavior
* feat: add zai-glm-4.6 model and update gpt-oss-120b for Cerebras
- Add zai-glm-4.6 with 128K context window and 40K max tokens
- Set zai-glm-4.6 as default Cerebras model
- Update gpt-oss-120b to 128K context and 40K max tokens
* feat: add zai-glm-4.6 model to Cerebras provider
- Add zai-glm-4.6 with 128K context window and 40K max tokens
- Set zai-glm-4.6 as default Cerebras model
- Model provides ~2000 tokens/s for general-purpose tasks
* add [SOON TO BE DEPRECATED] warning for Q3C
* chore: set gpt-oss-120b as default Cerebras model
* Fix cerebras test: update expected default model to gpt-oss-120b
* Apply suggestion from @mrubens
Co-authored-by: Matt Rubens <mrubens@users.noreply.github.com>
---------
Co-authored-by: kevint-cerebras <kevin.taylor@cerebras.net>
Co-authored-by: Matt Rubens <mrubens@users.noreply.github.com>
