Allows frontend to request specific subset of router models instead
of fetching all providers. This significantly reduces payload sizes
and memory usage when only specific providers are needed.
- Honor message.values.providers filter in requestRouterModels handler
- Fetch only requested providers when filter is present
- Maintain backward compatibility with existing aggregate behavior
- Add comprehensive test coverage for filtering logic
* fix: prevent MCP server restart when toggling tool permissions
Add isProgrammaticUpdate flag to distinguish between programmatic config
updates and user-initiated file changes. Skip file watcher processing
during programmatic updates to prevent unnecessary server restarts.
* fix(mcp): prevent server reconnection when toggling disabled state
Fixed bug where MCP servers would reconnect instead of staying disabled when toggled off. The issue was that toggleServerDisabled() used stale in-memory config instead of reading the fresh config from disk after writing the disabled flag.
Changes:
Added readServerConfigFromFile() helper to read and validate server config from disk
Updated disable path to read fresh config before calling connectToServer()
Updated enable path to read fresh config before calling connectToServer()
This ensures the disabled: true flag is properly read, causing connectToServer() to create a disabled placeholder connection instead of actually connecting the server.
+ refactor(mcp): use safeWriteJson for atomic config writes
Replace JSON.stringify + fs.writeFile with safeWriteJson in McpHub.ts
to prevent data corruption through atomic writes with file locking.
* fix(mcp): prevent race condition in isProgrammaticUpdate flag
Replace multiple independent reset timers with a single timer that gets
cleared and rescheduled on each programmatic config update. This prevents
the flag from being reset prematurely when multiple rapid updates occur,
which could cause unwanted server restarts during the file watcher's
debounce period.
+ fix(mcp): ensure isProgrammaticUpdate flag cleanup with try-finally
Wrap safeWriteJson() calls in try-finally blocks to guarantee the
isProgrammaticUpdate flag is always reset, even if the write operation
fails. This prevents the flag from being stuck at true indefinitely,
which would cause subsequent user-initiated config changes to be
silently ignored.
* feat: update Gemini models with latest 09-2025 versions
- Add gemini-flash-latest and gemini-flash-lite-latest models
- Add gemini-2.5-flash-preview-09-2025 and gemini-2.5-flash-lite-preview-09-2025
- Reorganize models list with most recent versions at the top
- Maintain all existing models for backward compatibility
Fixes#8485
* fix: restore missing maxThinkingTokens and supportsReasoningBudget for gemini-2.5-pro-preview-03-25
Backward compatibility regression fix - these properties were accidentally
removed during reorganization and are required to preserve existing
reasoning-budget controls for users pinned to this model version.
---------
Co-authored-by: Roo Code <roomote@roocode.com>
Co-authored-by: daniel-lxs <ricciodaniel98@gmail.com>
* feat: Add supportsReasoning property for Z.ai GLM binary thinking mode
- Add supportsReasoning to ModelInfo schema for binary reasoning models
- Update GLM-4.5 and GLM-4.6 models to use supportsReasoning: true
- Implement thinking parameter support in ZAiHandler for Deep Thinking API
- Update ThinkingBudget component to show simple toggle for supportsReasoning models
- Add comprehensive tests for binary reasoning functionality
Closes#8465
* refactor: rename supportsReasoning to supportsReasoningBinary for clarity
- Rename supportsReasoning -> supportsReasoningBinary in model schema
- Update Z.AI GLM model configurations to use supportsReasoningBinary
- Update Z.AI provider logic in createStream and completePrompt methods
- Update ThinkingBudget UI component and tests
- Update all test comments and expectations
This change improves naming clarity by distinguishing between:
- supportsReasoningBinary: Simple on/off reasoning toggle
- supportsReasoningBudget: Advanced reasoning with token budget controls
- supportsReasoningEffort: Advanced reasoning with effort levels
* Use monotonic clock for rate limiting
* Fix LiteLLM test failures after merge
- Remove supportsComputerUse from LiteLLM implementation as it's no longer part of ModelInfo interface
- Update test expectations to include cacheWritesPrice and cacheReadsPrice fields
- Fix test for max_output_tokens preference functionality
---------
Co-authored-by: Christiaan Arnoldus <christiaan.arnoldus@outlook.com>
* changeset version bump
* Update CHANGELOG for version 3.29.1 release
Updated version number and added release notes for 3.29.1.
---------
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: Matt Rubens <mrubens@users.noreply.github.com>
- Add responsive breakpoint at 300px for compact view
- Icon correctly reflects state (X when off, ✓ when on) at all screen sizes
- Show abbreviated labels on very narrow screens (< 300px)
- Add triggerLabelOffShort translation key to all locales
Fixes issues from PR #8152:
- Icon always showing checkmark on narrow screens
- Breakpoint activating too early (was 400px)
- Incorrect Tailwind class ordering
