- Remove redundant id field from ExperimentConfig interface
- Update UI components to use experiment keys directly
- Improve type safety by using key-based mapping instead of object values
- Add experiments.ts to manage experimental features
- Refactor experimental diff strategy into experiments system
- Add UI components for managing experimental features
- Add tests for experimental tools
- Update system prompts to handle experiments
Add the ability to configure automatic mode switching approval in the Settings UI.
Implementation:
- Added alwaysAllowModeSwitch checkbox in the Auto-Approve Settings section
- Added state management integration with useExtensionState
- Added vscode.postMessage handler for state updates
- Placed the setting logically between MCP tools and execute operations settings
The new setting allows users to:
- Enable/disable automatic approval of mode switching operations
- Configure mode switching approval independently of other auto-approve settings
- Maintain consistent UX with other auto-approve settings
This completes the mode switching auto-approval feature, working in conjunction with:
- Previously added state management in ExtensionStateContext
- Core logic changes in ClineProvider
- WebviewMessage type updates
- Existing test coverage in ChatView.auto-approve.test.tsx
- Add openAiUseAzure flag to force Azure OpenAI client initialization
- Add "Use Azure" checkbox in API settings UI
This change improves Azure OpenAI configuration flexibility by allowing users to explicitly opt-in to Azure client, regardless of the base URL pattern.
- Clarify model capabilities description and impact on Roo Code
- Update max tokens description to mention server dependency
- Rename 'Computer Interaction' to 'Computer Use' for clarity
- Add spacing after model info configuration section
- Rename openAiCusModelInfo to openAiCustomModelInfo across all files for better readability
- Update related variable names and references to maintain consistency
- Affects OpenAI provider, ClineProvider, WebviewMessage, API interfaces, and UI components
Adds support for configuring custom OpenAI-compatible model capabilities and pricing, including:
Max output tokens
Context window size
Image/computer use support
Input/output token pricing
Cache read/write pricing
