- Remove assistantMessageParser from experiment definitions in packages/types
- Remove ASSISTANT_MESSAGE_PARSER from shared experiments configuration
- Update Task.ts to always initialize and use AssistantMessageParser
- Remove conditional logic that checked for experiment flag
- Remove unused parseAssistantMessage import
- Update test files to remove assistantMessageParser references
- All tests passing successfully
Co-authored-by: Roo Code <roomote@roocode.com>
* fix: update DeepSeek models context window to 128k
- Updated deepseek-chat and deepseek-reasoner models from 64k to 128k context window
- Updated corresponding test expectations
- Aligns with DeepSeek API documentation at https://api-docs.deepseek.com/quick_start/pricing/Fixes#7268
* feat: update deepseek-reasoner maxTokens to 64K based on official documentation
* fix: use default maxTokens values instead of maximum for DeepSeek models
- deepseek-chat: 4096 (4K default) instead of 8192 (8K max)
- deepseek-reasoner: 32768 (32K default) instead of 65536 (64K max)
- Updated tests to match new default values
- Updated description to clarify default vs max output tokens
* fix: use maximum output tokens for both DeepSeek models
- deepseek-chat: 8192 (8K max)
- deepseek-reasoner: 65536 (64K max)
- Updated tests to match maximum values
- Updated description to reflect 64K max output
---------
Co-authored-by: Roo Code <roomote@roocode.com>
Co-authored-by: daniel-lxs <ricciodaniel98@gmail.com>
* feat: enable grounding features for Vertex AI
- Add enableUrlContext and enableGrounding options to vertexSchema in provider-settings.ts
- Update Vertex.tsx UI component to include URL context and grounding checkboxes
- Add comprehensive tests for the new grounding features in Vertex.spec.tsx
- Reuse existing localization strings from Gemini provider
Fixes#6776
* fix: address review feedback - hide grounding features in welcome view and only show for Gemini models
---------
Co-authored-by: Roo Code <roomote@roocode.com>
Co-authored-by: daniel-lxs <ricciodaniel98@gmail.com>
* feat: add optional todos parameter to new_task tool with experimental setting (#6329)
- Add optional todos parameter to new_task tool for hierarchical task planning
- Implement experimental setting to optionally require todos parameter
- Add clean state-based UI rendering to avoid spurious messages
- Export and reuse parseMarkdownChecklist function
- Add comprehensive test coverage for both optional and required modes
- Maintain full backward compatibility (todos optional by default)
* fix: update new_task tool example to include todos parameter
- Updated the example in tool-use.ts to show the todos parameter
- This prevents AI confusion about whether todos is a valid parameter
- The example now demonstrates the complete tool usage pattern
* fix: make new_task tool definition dynamic based on experimental setting
- Tool description now changes based on newTaskRequireTodos setting
- When disabled: shows todos as (optional)
- When enabled: shows todos as (required) with no mention of configuration
- Added tests to verify dynamic behavior
- Ensures AI models get unambiguous instructions based on current settings
* fix: add translations for newTaskRequireTodos experimental setting
- Added translations for all 17 supported languages
- Ensures consistent UI experience across all locales
* test: update snapshots for new_task tool example with todos parameter
- Updated 13 snapshot files to reflect the new tool-use example
- All tests now pass with the updated example format
* Update src/core/tools/newTaskTool.ts
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
* fix: address PR review comments
- Replace any[] with TodoItem[] type in ExtensionStateContext.tsx for better type safety
- Remove redundant initialTodos parameter from startTask call in Task.ts (todos already set in constructor)
- Improve code clarity in newTaskTool.ts by checking provider reference early and reusing state
# Conflicts:
# src/core/task/Task.ts
# webview-ui/src/context/ExtensionStateContext.tsx
* fix: revert order of operations in startTask to fix integration test timeout
The change in order of operations (calling say() before postStateToWebview()) was causing the XML content file test to timeout. Reverting to the original order fixes the issue.
* fix: hide todos parameter from new_task tool prompt when experiment is disabled
- Modified getNewTaskDescription to completely omit todos parameter when experiment is off
- Updated tests to verify todos parameter is not shown at all when disabled
- Ensures tool prompt remains unchanged when experimental setting is disabled
- Maintains backward compatibility while providing cleaner prompt interface
* fix: update snapshots for new_task tool todos parameter
- Updated snapshots in add-custom-instructions.spec.ts
- Updated snapshots in system-prompt.spec.ts
- All tests now passing with the new todos parameter documentation
* feat: move newTaskRequireTodos from experimental to VSCode settings
- Added newTaskRequireTodos as a VSCode configuration property in src/package.json
- Added description in src/package.nls.json
- Updated newTaskTool.ts to read from VSCode configuration instead of experiments
- Removed NEW_TASK_REQUIRE_TODOS from experimental settings in src/shared/experiments.ts
- Removed newTaskRequireTodos from packages/types/src/experiment.ts
- Updated tests to use VSCode configuration mocking instead of experiments
- Removed references from experiments test file
- Maintains backward compatibility (defaults to false)
* fix: make new_task tool description dynamically reflect VSCode setting
- Updated new-task.ts to check args.settings instead of args.experiments
- Added newTaskRequireTodos to SystemPromptSettings interface
- Pass newTaskRequireTodos setting through Task.ts and generateSystemPrompt.ts
- Updated all related tests to use settings instead of experiments
- Fixed TypeScript errors in test files by adding newTaskRequireTodos property
This ensures the tool description correctly shows todos parameter as required/optional
based on the VSCode setting value, fixing the issue where Roo would try to use
new_task without the todos parameter when it was required.
---------
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Co-authored-by: Merge Resolver <merge-resolver@roo-code.com>
Co-authored-by: Roo Code <roomote@roocode.com>
Fixes first-time initialization issue with Z AI and Doubao providers
where the API keys were not recognized as valid secret keys, causing
the configuration to fail during initial setup.
Fixes#7082
Co-authored-by: Roo Code <roomote@roocode.com>
* feat: add support for OpenAI gpt-5-chat-latest model
- Added gpt-5-chat-latest model configuration to openAiNativeModels
- Updated OpenAiNativeHandler to recognize gpt-5-chat-latest as a Responses API model
- Added comprehensive tests for the new model
- Model is optimized for conversational AI and non-reasoning tasks
Fixes#7057
* fix: remove redundant condition and unnecessary test file
- Remove redundant gpt-5-chat-latest check in isResponsesApiModel since startsWith('gpt-5') already covers it
- Remove unnecessary dedicated test file for gpt-5-chat-latest
---------
Co-authored-by: Roo Code <roomote@roocode.com>
Co-authored-by: daniel-lxs <ricciodaniel98@gmail.com>
* fix: add explicit max_output_tokens for GPT-5 Responses API
- Added max_output_tokens parameter to GPT-5 request body using model.maxTokens
- This prevents GPT-5 from defaulting to very large token limits (e.g., 120k)
- Updated tests to expect max_output_tokens in GPT-5 request bodies
- Fixed test for handling unhandled stream events by properly mocking SDK fallback
* fix: add missing translations for reasoningEffort.minimal in Indonesian and Dutch locales
* fix: correct GPT-5 response ID persistence and usage
- Renamed metadata field from 'previous_response_id' to 'response_id' for clarity
- Fixed logic to correctly use the response_id from the previous message as previous_response_id for the next request
- This resolves the 'Previous response with id not found' errors that occurred after multiple turns in the same session
* feat: add robust error handling for GPT-5 previous_response_id failures
- Automatically retry without previous_response_id when it's not found (400 error)
- Clear stored lastResponseId to prevent reusing stale IDs
- Handle errors in both SDK and SSE fallback paths
- Log warnings when retrying to help with debugging
* fix: handle GPT-5 response ID race condition with nano model
- Add promise-based synchronization for response ID persistence
- Wait for pending response ID from previous request before using it
- Resolve promise when response ID is received or cleared
- Add 100ms timeout to avoid blocking too long on ID resolution
- Properly clean up resolver on errors to prevent memory leaks
This fixes the race condition where fast nano model responses could cause
the next request to be initiated before the response ID was fully persisted.
* fix: address PR review comments for GPT-5 implementation
- Extract usage normalization helper to reduce duplication
- Suppress conversation continuity for first message (but respect explicit metadata)
- Deduplicate response ID resolver logic
- Remove dead enableGpt5ReasoningSummary option references
- DRY up GPT-5 event/usage handling with normalizeGpt5Usage helper
- Centralize default GPT-5 reasoning effort using model info
- Fix Indonesian locale minimal string misplacement
- Add clarifying comments for Developer prefix usage
- Add TODO for future verbosity UI capability gating
- Fix failing test in reasoning.spec.ts
* fix(openai-native): address Roomote inline feedback\n\n- Delegate standard GPT-5 SSE event types to shared processor to reduce duplication\n- Add JSDoc for response ID accessors\n- Standardize key error messages for GPT-5 Responses API fallback\n- Extract persistGpt5Metadata() in Task to simplify metadata writes\n- Add malformed JSON SSE parsing test\n
* fix(openai-native,gpt5): correct usage cost calc (use calculateApiCostOpenAI incl. cache); enforce 'skip once' continuity via suppressPreviousResponseId; dedupe responseId resolver on SSE 400; feat: gate reasoning.summary by enableGpt5ReasoningSummary; centralize default reasoning effort; types/ui: add ModelInfo.supportsVerbosity and gate Verbosity UI by capability; refactor: avoid duplicate usage emission in SSE done/completed
* fix(gpt5): default enableGpt5ReasoningSummary=true to preserve tests and expected behavior
* fix(gpt5): canonicalize GPT-5 metadata key to previous_response_id and align enableGpt5ReasoningSummary default docs
* fix(openai-native): remove review artifact comments and guard GPT-5 in completePrompt
* feat: add GPT-5 model support
- Added GPT-5 models (gpt-5-2025-08-07, gpt-5-mini-2025-08-07, gpt-5-nano-2025-08-07)
- Added nectarine-alpha-new-reasoning-effort-2025-07-25 experimental model
- Set gpt-5-2025-08-07 as default OpenAI Native model
- Implemented GPT-5 specific handling with streaming and reasoning effort support
* fix: remove hardcoded temperature from GPT-5 handler
- Updated handleGPT5Message to use configurable temperature
- Now uses this.options.modelTemperature ?? OPENAI_NATIVE_DEFAULT_TEMPERATURE
- Maintains consistency with other model handlers
* feat: add reasoning effort support for all OpenAI models
* fix: update test to expect new default model gpt-5-2025-08-07
* feat: increase GPT-5 models context window to 400,000
- Updated context window from 256,000 to 400,000 for gpt-5-2025-08-07
- Updated context window from 256,000 to 400,000 for gpt-5-mini-2025-08-07
- Updated context window from 256,000 to 400,000 for gpt-5-nano-2025-08-07
- Updated context window from 256,000 to 400,000 for nectarine-alpha-new-reasoning-effort-2025-07-25
As requested by @daniel-lxs in PR #6819
* revert: remove GPT-5 models, keep only nectarine experimental model
- Removed gpt-5-2025-08-07, gpt-5-mini-2025-08-07, gpt-5-nano-2025-08-07
- Kept nectarine-alpha-new-reasoning-effort-2025-07-25 experimental model
- Reverted default model back to gpt-4o
- Updated tests and changeset accordingly
* feat: add GPT-5 models with updated context windows
- Added gpt-5-2025-08-07, gpt-5-mini-2025-08-07, gpt-5-nano-2025-08-07 models
- All GPT-5 models configured with 400,000 context window
- Updated nectarine model context window to 256,000
- All models configured with reasoning effort support
- Set gpt-5-2025-08-07 as default OpenAI Native model
- Added GPT-5 model handling in openai-native.ts
- Updated tests to reflect new default model
* fix: restore reasoning effort support for o1 series models
- Added supportsReasoningEffort: true to o1, o1-preview, and o1-mini models
- This restores the ability to use reasoning effort parameters with these models
- The existing code in openai-native.ts already handles reasoning effort correctly
* Revert "fix: restore reasoning effort support for o1 series models"
This reverts commit 7251237ae8.
* fix: restore reasoning effort support for o3 and o4 models
- Added supportsReasoningEffort: true to o3, o3-high, o3-low models
- Added supportsReasoningEffort: true to o4-mini, o4-mini-high, o4-mini-low models
- Added supportsReasoningEffort: true to o3-mini, o3-mini-high, o3-mini-low models
- These models have both supportsReasoningEffort and reasoningEffort properties
* Revert "fix: restore reasoning effort support for o3 and o4 models"
This reverts commit a75a2b8a69.
* fix: restore reasoning effort support for o3 and o4 models
- Added supportsReasoningEffort: true to o3, o3-high, o3-low models
- Added supportsReasoningEffort: true to o4-mini, o4-mini-high, o4-mini-low models
- Added supportsReasoningEffort: true to o3-mini, o3-mini-high, o3-mini-low models
* fix: adjust reasoning effort support for o3/o4 models
- Keep supportsReasoningEffort only for base o3, o4-mini, and o3-mini models
- Remove supportsReasoningEffort from -high and -low variants
- Position supportsReasoningEffort right before reasoningEffort property
* fix: remove nectarine experimental model
- Removed nectarine-alpha-new-reasoning-effort-2025-07-25 from openai.ts
- Removed nectarine handling from openai-native.ts (renamed to handleGpt5Message)
- Removed associated changeset file
- Keep GPT-5 models with developer role handling
* feat: implement full GPT-5 support with verbosity and minimal reasoning
- Add all three GPT-5 models with accurate pricing (.25/0 for gpt-5, /bin/sh.25/ for mini, /bin/sh.05//bin/sh.40 for nano)
- Implement verbosity control (low/medium/high) that passes through to API
- Add minimal reasoning effort support for fastest response times
- GPT-5 models use developer role instead of system role
- Set gpt-5-2025-08-07 as default OpenAI Native model
- Add Responses API infrastructure for future migration
- Update tests to verify all GPT-5 features
- All 27 tests passing
Note: UI controls for verbosity still need to be added in a follow-up PR
* feat: add verbosity setting for GPT-5 models
- Add VerbosityLevel type definition to model types
- Add verbosity field to ProviderSettings schema
- Create Verbosity UI component for settings
- Add verbosity labels to all localization files
- Integrate verbosity handling in model parameters transformation
- Update OpenAI native handler to support verbosity for GPT-5
- Add comprehensive tests for verbosity setting
- Update existing GPT-5 tests to use verbosity from settings
* Delete .roorules
---------
Co-authored-by: Roo Code <roomote@roocode.com>
Co-authored-by: hannesrudolph <hrudolph@gmail.com>
Co-authored-by: Daniel Riccio <ricciodaniel98@gmail.com>
Co-authored-by: Daniel <57051444+daniel-lxs@users.noreply.github.com>
* feat: add GLM-4.5 and OpenAI gpt-oss models to Fireworks provider
- Added GLM-4.5 (355B/32B active) and GLM-4.5-Air (106B/12B active) models from Z.ai
- Added gpt-oss-20b and gpt-oss-120b models from OpenAI
- All models configured with 128K context window
- Added comprehensive test coverage for all new models
Fixes#6753
* fix: update GLM-4.5 model IDs to use p instead of hyphen
- Changed glm-4-5 to glm-4p5
- Changed glm-4-5-air to glm-4p5-air
- Updated corresponding test cases
---------
Co-authored-by: Roo Code <roomote@roocode.com>
