* 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>
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Co-authored-by: kevint-cerebras <kevin.taylor@cerebras.net>
Co-authored-by: Matt Rubens <mrubens@users.noreply.github.com>
* 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.
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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
* feat(zai): add GLM-4.5-X, AirX, Flash; sync with Z.ai docs; keep canonical api line keys
* feat(zai): add GLM-4.5V vision model (supportsImages, pricing, 16K max output); add tests
* feat(types,zai): sync Z.AI international model map and tests
- Update pricing, context window, and capabilities for:
glm-4.5-x, glm-4.5-airx, glm-4.5-flash, glm-4.5v, glm-4.6
- Add glm-4-32b-0414-128k
- Align tests with new model specs
* fix(zai): align handler generics with expanded model ids to satisfy CI compile step
* chore(zai): remove tier pricing blocks for Z.ai models
* fix(zai): simplify names in zaiApiLineConfigs for clarity
* chore(zai): set default temperature to 0.6
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Co-authored-by: Roo Code <roomote@roocode.com>
chore(gpt5): stop persisting instructions/reasoning_summary in UI message metadata
Problem: ui_messages.json was getting bloated with unused or duplicated content (system 'instructions' and 'reasoning_summary') that we do not read back. Root cause: earlier OpenAI Responses API implementation persisted these fields to per-message metadata; however, 'instructions' are already sent as top-level request instructions and 'reasoning_summary' is surfaced live via streaming events. Neither field is consumed from storage. Changes: (1) Task.persistGpt5Metadata now stores only previous_response_id; (2) removed instructions and reasoning_summary from types; (3) updated Zod schema; (4) persistence layer writes messages as-is (no sanitizer); (5) tests green. Impact: smaller ui_messages.json, no runtime behavior change for requests. Migration: old metadata fields will be ignored by schema.
Fixes#8371 - Updates the model ID from anthropic.claude-4.5-sonnet-v1:0
to anthropic.claude-sonnet-4-5-20250929-v1:0 to match AWS Bedrock naming convention
Co-authored-by: Roo Code <roomote@roocode.com>
* feat: add telemetry tracking to DismissibleUpsell component
- Added UPSELL_DISMISSED and UPSELL_CLICKED events to TelemetryEventName enum
- Updated DismissibleUpsell component to track clicks and dismissals with telemetry
- Added telemetry tests to DismissibleUpsell test suite
- Events include upsellId in the payload for tracking specific upsells
* refactor(webview): make handleDismiss synchronous in DismissibleUpsell
test(webview): add scenario where dismissOnClick=true without onClick tracks only UPSELL_DISMISSED; update tests; all tests passing locally
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Co-authored-by: Roo Code <roomote@roocode.com>
