* feat: Support custom response language
* fix: Add default values for response language in config-manager.js
* chore: Update configuration file and add default response language settings
* feat: Support MCP/CLI custom response language
* chore: Update test comments to English for consistency
* docs: Auto-update and format models.md
* chore: fix format
---------
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
Co-authored-by: Ralph Khreish <35776126+Crunchyman-ralph@users.noreply.github.com>
- Added 'defaultNumTasks: 10' to default config, now used in 'parse-prd'
- Adjusted 'parse-prd' and 'expand-task' to:
- Accept a 'numTasks' value of 0
- Updated tool and command descriptions
- Updated prompts to 'an appropriate number of' when value is 0
- Updated 'README-task-master.md' and 'command-reference.md' docs
- Added more tests for: 'parse-prd', 'expand-task' and 'config-manager'
Co-authored-by: Ralph Khreish <35776126+Crunchyman-ralph@users.noreply.github.com>
* feat: Add gemini-cli provider integration for Task Master
This commit adds comprehensive support for the Gemini CLI provider, enabling users
to leverage Google's Gemini models through OAuth authentication via the gemini CLI
tool. This integration provides a seamless experience for users who prefer using
their existing Google account authentication rather than managing API keys.
## Implementation Details
### Provider Class (`src/ai-providers/gemini-cli.js`)
- Created GeminiCliProvider extending BaseAIProvider
- Implements dual authentication support:
- Primary: OAuth authentication via `gemini auth login` (authType: 'oauth-personal')
- Secondary: API key authentication for compatibility (authType: 'api-key')
- Uses the npm package `ai-sdk-provider-gemini-cli` (v0.0.3) for SDK integration
- Properly handles authentication validation without console output
### Model Configuration (`scripts/modules/supported-models.json`)
- Added two Gemini models with accurate specifications:
- gemini-2.5-pro: 72% SWE score, 65,536 max output tokens
- gemini-2.5-flash: 71% SWE score, 65,536 max output tokens
- Both models support main, fallback, and research roles
- Configured with zero cost (free tier)
### System Integration
- Registered provider in PROVIDERS map (`scripts/modules/ai-services-unified.js`)
- Added to OPTIONAL_AUTH_PROVIDERS set for flexible authentication
- Added GEMINI_CLI constant to provider constants (`src/constants/providers.js`)
- Exported GeminiCliProvider from index (`src/ai-providers/index.js`)
### Command Line Support (`scripts/modules/commands.js`)
- Added --gemini-cli flag to models command for provider hint
- Integrated into model selection logic (setModel function)
- Updated error messages to include gemini-cli in provider list
- Removed unrelated azure/vertex changes to maintain PR focus
### Documentation (`docs/providers/gemini-cli.md`)
- Comprehensive provider documentation emphasizing OAuth-first approach
- Clear explanation of why users would choose gemini-cli over standard google provider
- Detailed installation, authentication, and configuration instructions
- Troubleshooting section with common issues and solutions
### Testing (`tests/unit/ai-providers/gemini-cli.test.js`)
- Complete test suite with 12 tests covering all functionality
- Tests for both OAuth and API key authentication paths
- Error handling and edge case coverage
- Updated mocks in ai-services-unified.test.js for integration testing
## Key Design Decisions
1. **OAuth-First Design**: The provider assumes users want to leverage their existing
`gemini auth login` credentials, making this the default authentication method.
2. **Authentication Type Mapping**: Discovered through testing that the SDK expects:
- 'oauth-personal' for OAuth/CLI authentication (not 'gemini-cli' or 'oauth')
- 'api-key' for API key authentication (not 'gemini-api-key')
3. **Silent Operation**: Removed console.log statements from validateAuth to match
the pattern used by other providers like claude-code.
4. **Limited Model Support**: Only gemini-2.5-pro and gemini-2.5-flash are available
through the CLI, as confirmed by the package author.
## Usage
```bash
# Install gemini CLI globally
npm install -g @google/gemini-cli
# Authenticate with Google account
gemini auth login
# Configure Task Master to use gemini-cli
task-master models --set-main gemini-2.5-pro --gemini-cli
# Use Task Master normally
task-master new "Create a REST API endpoint"
```
## Dependencies
- Added `ai-sdk-provider-gemini-cli@^0.0.3` to package.json
- This package wraps the Google Gemini CLI Core functionality for Vercel AI SDK
## Testing
All tests pass (613 total), including the new gemini-cli provider tests.
Code has been formatted with biome to maintain consistency.
This implementation provides a clean, well-tested integration that follows Task Master's
existing patterns while offering users a convenient way to use Gemini models with their
existing Google authentication.
* feat: implement lazy loading for gemini-cli provider
- Move ai-sdk-provider-gemini-cli to optionalDependencies
- Implement dynamic import with loadGeminiCliModule() function
- Make getClient() async to support lazy loading
- Update base-provider to handle async getClient() calls
- Update tests to handle async getClient() method
This allows the application to start without the gemini-cli package
installed, only loading it when actually needed.
* feat(gemini-cli): replace regex-based JSON extraction with jsonc-parser
- Add jsonc-parser dependency for robust JSON parsing
- Replace simple regex approach with progressive parsing strategy:
1. Direct parsing after cleanup
2. Smart boundary detection with single-pass analysis
3. Limited fallback for edge cases
- Optimize performance with early termination and strategic sampling
- Add comprehensive tests for variable declarations, trailing commas,
escaped quotes, nested objects, and performance edge cases
- Improve reliability for complex JSON structures that Gemini commonly produces
- Fix code formatting with biome
This addresses JSON parsing failures in generateObject operations while
maintaining backward compatibility and significantly improving performance
for large responses.
* fix: update package-lock.json and fix formatting for CI/CD
- Add jsonc-parser to package-lock.json for proper npm ci compatibility
- Fix biome formatting issues in gemini-cli provider and tests
- Ensure all CI/CD checks pass
* feat(gemini-cli): implement comprehensive JSON output reliability system
- Add automatic JSON request detection via content analysis patterns
- Implement task-specific prompt simplification for improved AI compliance
- Add strict JSON enforcement through enhanced system prompts
- Implement response interception with intelligent JSON extraction fallback
- Add comprehensive test coverage for all new JSON handling methods
- Move debug logging to appropriate level for clean user experience
This multi-layered approach addresses gemini-cli's conversational response
tendencies, ensuring reliable structured JSON output for task expansion
operations. Achieves 100% success rate in end-to-end testing while
maintaining full backward compatibility with existing functionality.
Technical implementation includes:
• JSON detection via user message content analysis
• Expand-task prompt simplification with cleaner instructions
• System prompt enhancement with strict JSON enforcement
• Response processing with jsonc-parser-based extraction
• Comprehensive unit test coverage for edge cases
• Debug-level logging to prevent user interface clutter
Resolves: gemini-cli JSON formatting inconsistencies
Tested: All 46 test suites pass, formatting verified
* chore: add changeset for gemini-cli provider implementation
Adds minor version bump for comprehensive gemini-cli provider with:
- Lazy loading and optional dependency management
- Advanced JSON parsing with jsonc-parser
- Multi-layer reliability system for structured output
- Complete test coverage and CI/CD compliance
* refactor: consolidate optional auth provider logic
- Add gemini-cli to existing providersWithoutApiKeys array in config-manager
- Export providersWithoutApiKeys for reuse across modules
- Remove duplicate OPTIONAL_AUTH_PROVIDERS Set from ai-services-unified
- Update ai-services-unified to import and use centralized array
- Fix Jest mock to include new providersWithoutApiKeys export
This eliminates code duplication and provides a single source of truth
for which providers support optional authentication, addressing PR
reviewer feedback about existing similar functionality in src/constants.
* feat(tasks): Fix critical tag corruption bug in task management
- Fixed missing context parameters in writeJSON calls across add-task, remove-task, and add-subtask functions
- Added projectRoot and tag parameters to prevent data corruption in multi-tag environments
- Re-enabled generateTaskFiles calls to ensure markdown files are updated after operations
- Enhanced add_subtask MCP tool with tag parameter support
- Refactored addSubtaskDirect function to properly pass context to core logic
- Streamlined codebase by removing deprecated functionality
This resolves the critical bug where task operations in one tag context would corrupt or delete tasks from other tags in tasks.json.
* feat(task-manager): Enhance addSubtask with current tag support
- Added `getCurrentTag` utility to retrieve the current tag context for task operations.
- Updated `addSubtask` to use the current tag when reading and writing tasks, ensuring proper context handling.
- Refactored tests to accommodate changes in the `addSubtask` function, ensuring accurate mock implementations and expectations.
- Cleaned up test cases for better readability and maintainability.
This improves task management by preventing tag-related data corruption and enhances the overall functionality of the task manager.
* feat(remove-task): Add tag support for task removal and enhance error handling
- Introduced `tag` parameter in `removeTaskDirect` to specify context for task operations, improving multi-tag support.
- Updated logging to include tag context in messages for better traceability.
- Refactored task removal logic to streamline the process and improve error reporting.
- Added comprehensive unit tests to validate tag handling and ensure robust error management.
This enhancement prevents task data corruption across different tags and improves the overall reliability of the task management system.
* feat(add-task): Add projectRoot and tag parameters to addTask tests
- Updated `addTask` unit tests to include `projectRoot` and `tag` parameters for better context handling.
- Enhanced test cases to ensure accurate expectations and improve overall test coverage.
This change aligns with recent enhancements in task management, ensuring consistency across task operations.
* feat(set-task-status): Add tag parameter support and enhance task status handling
- Introduced `tag` parameter in `setTaskStatusDirect` and related functions to improve context management in multi-tag environments.
- Updated `writeJSON` calls to ensure task data integrity across different tags.
- Enhanced unit tests to validate tag preservation during task status updates, ensuring robust functionality.
This change aligns with recent improvements in task management, preventing data corruption and enhancing overall reliability.
* feat(tag-management): Enhance writeJSON calls to preserve tag context
- Updated `writeJSON` calls in `createTag`, `deleteTag`, `renameTag`, `copyTag`, and `enhanceTagsWithMetadata` to include `projectRoot` for better context management and to prevent tag corruption.
- Added comprehensive unit tests for tag management functions to ensure data integrity and proper tag handling during operations.
This change improves the reliability of tag management by ensuring that operations do not corrupt existing tags and maintains the overall structure of the task data.
* feat(expand-task): Update writeJSON to include projectRoot and tag context
- Modified `writeJSON` call in `expandTaskDirect` to pass `projectRoot` and `tag` parameters, ensuring proper context management when saving tasks.json.
- This change aligns with recent enhancements in task management, preventing potential data corruption and improving overall reliability.
* feat(fix-dependencies): Add projectRoot and tag parameters for enhanced context management
- Updated `fixDependenciesDirect` and `registerFixDependenciesTool` to include `projectRoot` and `tag` parameters, improving context handling during dependency fixes.
- Introduced a new unit test for `fixDependenciesCommand` to ensure proper preservation of projectRoot and tag data in JSON outputs.
This change enhances the reliability of dependency management by ensuring that context is maintained across operations, preventing potential data issues.
* fix(context): propagate projectRoot and tag through dependency, expansion, status-update and tag-management commands to prevent cross-tag data corruption
* test(fix-dependencies): Enhance unit tests for fixDependenciesCommand
- Refactored tests to use unstable mocks for utils, ui, and task-manager modules, improving isolation and reliability.
- Added checks for process.exit to ensure proper handling of invalid data scenarios.
- Updated test cases to verify writeJSON calls with projectRoot and tag parameters, ensuring accurate context preservation during dependency fixes.
This change strengthens the test suite for dependency management, ensuring robust functionality and preventing potential data issues.
* chore(plan): remove outdated fix plan for `writeJSON` context parameters
* fix(task-manager): prevent tag corruption in bulk updates and add tag preservation test
- Fix writeJSON call in scripts/modules/task-manager/update-tasks.js (line 469) to include projectRoot and tag parameters.
- Ensure tagged task lists maintain data integrity during bulk updates, preventing task disappearance in tagged contexts.
- Update MCP tools to properly pass tag context through the call chain.
- Introduce a comprehensive test case to verify that all tags are preserved when updating tasks, covering both master and feature-branch scenarios.
Addresses an issue where bulk updates could corrupt tasks.json in tagged task list structures, reinforcing task management robustness.
* style(tests): format task data in update-tasks test
* fix(expand-task): Use tag-specific complexity reports
- Add getTagAwareFilePath utility function to resolve tag-specific file paths
- Update expandTask to use tag-aware complexity report paths
- Fix issue where expand-task always used default complexity report
- Add comprehensive tests for getTagAwareFilePath utility
- Ensure proper handling of file extensions and directory structures
Fixes#850: Expanding tasks not using tag-specific complexity reports
The expandTask function now correctly uses complexity reports specific
to the current tag context (e.g., task-complexity-report_feature-branch.json)
instead of always using the default task-complexity-report.json file.
This enables proper task expansion behavior when working with multiple
tag contexts, ensuring complexity analysis is tag-specific and accurate.
* chore: Add changeset for tag-specific complexity reports fix
* test(expand-task): Add tests for tag-specific complexity report integration
- Introduced a new test suite for verifying the integration of tag-specific complexity reports in the expandTask function.
- Added a test case to ensure the correct complexity report is used when available for a specific tag.
- Mocked file system interactions to simulate the presence of tag-specific complexity reports.
This enhances the test coverage for task expansion behavior, ensuring it accurately reflects the complexity analysis based on the current tag context.
* refactor(task-manager): unify and simplify tag-aware file path logic and tests
- Reformatted imports and cleaned up comments in test files for readability
- Centralized mocks: moved getTagAwareFilePath & slugifyTagForFilePath
mocks to setup.js for consistency and maintainability
- Simplified utils/getTagAwareFilePath: replaced manual parsing with
path.parse() & path.format(); improved extension handling
- Enhanced test mocks for path.parse, path.format & reset path.join
in beforeEach to avoid interference
- All tests now pass consistently; no change in functionality
Implements Claude Code as a new AI provider that uses the Claude Code CLI
without requiring API keys. This enables users to leverage Claude models
through their local Claude Code installation.
Key changes:
- Add complete AI SDK v1 implementation for Claude Code provider
- Custom SDK with streaming/non-streaming support
- Session management for conversation continuity
- JSON extraction for object generation mode
- Support for advanced settings (maxTurns, allowedTools, etc.)
- Integrate Claude Code into Task Master's provider system
- Update ai-services-unified.js to handle keyless authentication
- Add provider to supported-models.json with opus/sonnet models
- Ensure correct maxTokens values are applied (opus: 32000, sonnet: 64000)
- Fix maxTokens configuration issue
- Add max_tokens property to getAvailableModels() output
- Update setModel() to properly handle claude-code models
- Create update-config-tokens.js utility for init process
- Add comprehensive documentation
- User guide with configuration examples
- Advanced settings explanation and future integration options
The implementation maintains full backward compatibility with existing
providers while adding seamless Claude Code support to all Task Master
commands.
* fix(expand): Fix tag corruption in expand command - Fix tag parameter passing through MCP expand-task flow - Add tag parameter to direct function and tool registration - Fix contextGatherer method name from _buildDependencyContext to _buildDependencyGraphs - Add comprehensive test coverage for tag handling in expand-task - Ensures tagged task structure is preserved during expansion - Prevents corruption when tag is undefined. Fixes expand command causing tag corruption in tagged task lists. All existing tests pass and new test coverage added.
* test(e2e): Add comprehensive tag-aware expand testing to verify tag corruption fix - Add new test section for feature-expand tag creation and testing - Verify tag preservation during expand, force expand, and expand --all operations - Test that master tag remains intact and feature-expand tag receives subtasks correctly - Fix file path references to use correct .taskmaster/tasks/tasks.json location - Fix config file check to use .taskmaster/config.json instead of .taskmasterconfig - All tag corruption verification tests pass successfully in E2E test
* fix(changeset): Update E2E test improvements changeset to properly reflect tag corruption fix verification
* chore(changeset): combine duplicate changesets for expand tag corruption fix
Merge eighty-breads-wonder.md into bright-llamas-enter.md to consolidate
the expand command fix and its comprehensive E2E testing enhancements
into a single changeset entry.
* Delete .changeset/eighty-breads-wonder.md
* Version Packages
* chore: fix package.json
* fix(expand): Enhance context handling in expandAllTasks function
- Added `tag` to context destructuring for better context management.
- Updated `readJSON` call to include `contextTag` for improved data integrity.
- Ensured the correct tag is passed during task expansion to prevent tag corruption.
---------
Co-authored-by: Parththipan Thaniperumkarunai <parththipan.thaniperumkarunai@milkmonkey.de>
Co-authored-by: Parthy <52548018+mm-parthy@users.noreply.github.com>
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
* fix(research, tasks): Make research command and task updates tag-aware
* refactor(tasks): Prevent automatic task file generation across other locations
This commit refactors several core task management functions to prevent them from automatically regenerating individual task files after modifying the main `tasks.json`.
Previously, operations like `add-task`, `clear-subtasks`, `expand-task`, and `update-task-by-id` would immediately trigger `generateTaskFiles`. This could be slow and was often unnecessary.
The calls to `generateTaskFiles` have been removed or commented out from the core task functions. Users should now run `task-master generate` explicitly to update their individual task files.
Additionally, this commit includes fixes to the `move` command to make it fully tag-aware.
* fix: move and clear subtasks mcp commands
* chore: fix format
* chore: fix unit tests
---------
Co-authored-by: Ralph Khreish <35776126+Crunchyman-ralph@users.noreply.github.com>
* chore: task management and small bug fix.
* chore: task management
* feat: implement research command with enhanced context gathering - Add comprehensive research command with AI-powered queries - Implement ContextGatherer utility for reusable context extraction - Support multiple context types: tasks, files, custom text, project tree - Add fuzzy search integration for automatic task discovery - Implement detailed token breakdown display with syntax highlighting - Add enhanced UI with boxed output and code block formatting - Support different detail levels (low, medium, high) for responses - Include project-specific context for more relevant AI responses - Add token counting with gpt-tokens library integration - Create reusable patterns for future context-aware commands - Task 94.4 completed
* docs: add context gathering rule and update existing rules
- Create comprehensive context_gathering.mdc rule documenting ContextGatherer utility patterns, FuzzyTaskSearch integration, token breakdown display, code block syntax highlighting, and enhanced result display patterns
- Update new_features.mdc to include context gathering step
- Update commands.mdc with context-aware command pattern
- Update ui.mdc with enhanced display patterns and syntax highlighting
- Update utilities.mdc to document new context gathering utilities
- Update glossary.mdc to include new context_gathering rule
- Establishes standardized patterns for building intelligent, context-aware commands that can leverage project knowledge for better AI assistance
* feat(fuzzy): improves fuzzy search to introspect into subtasks as well. might still need improvement.
* fix(move): adjusts logic to prevent an issue when moving from parent to subtask if the target parent has no subtasks.
* fix(move-task): Fix critical bugs in task move functionality
- Fixed parent-to-parent task moves where original task would remain as duplicate
- Fixed moving tasks to become subtasks of empty parents (validation errors)
- Fixed moving subtasks between different parent tasks
- Improved comma-separated batch moves with proper error handling
- Updated MCP tool to use core logic instead of custom implementation
- Resolves task duplication issues and enables proper task hierarchy reorganization
* feat(research): Add subtasks to fuzzy search and follow-up questions
- Enhanced fuzzy search to include subtasks in discovery - Added interactive follow-up question functionality using inquirer
- Improved context discovery by including both tasks and subtasks
- Follow-up option for research with default to 'n' for quick workflow
* chore: removes task004 chat that had like 11k lines lol.
* chore: formatting
* feat(show): add comma-separated ID support for multi-task viewing
- Enhanced get-task/show command to support comma-separated task IDs for efficient batch operations.
- New features include multiple task retrieval, smart display logic, interactive action menu with batch operations, MCP array response for AI agent efficiency, and support for mixed parent tasks and subtasks.
- Implementation includes updated CLI show command, enhanced MCP get_task tool, modified showTaskDirect function, and maintained full backward compatibility.
- Documentation updated across all relevant files.
Benefits include faster context gathering for AI agents, improved workflow with interactive batch operations, better UX with responsive layout, and enhanced API efficiency.
* feat(research): Adds MCP tool for command
- New MCP Tool: research tool enables AI-powered research with project context
- Context Integration: Supports task IDs, file paths, custom context, and project tree
- Fuzzy Task Discovery: Automatically finds relevant tasks using semantic search
- Token Management: Detailed token counting and breakdown by context type
- Multiple Detail Levels: Support for low, medium, and high detail research responses
- Telemetry Integration: Full cost tracking and usage analytics
- Direct Function: researchDirect with comprehensive parameter validation
- Silent Mode: Prevents console output interference with MCP JSON responses
- Error Handling: Robust error handling with proper MCP response formatting
This completes subtasks 94.5 (Direct Function) and 94.6 (MCP Tool) for the research command implementation, providing a powerful research interface for integrated development environments like Cursor.
Updated documentation across taskmaster.mdc, README.md, command-reference.md, examples.md, tutorial.md, and docs/README.md to highlight research capabilities and usage patterns.
* chore: task management
* chore: task management and removes mistakenly staged changes
* fix(move): Fix move command bug that left duplicate tasks
- Fixed logic in moveTaskToNewId function that was incorrectly treating task-to-task moves as subtask creation instead of task replacement
- Updated moveTaskToNewId to properly handle replacing existing destination tasks instead of just placeholders
- The move command now correctly replaces destination tasks and cleans up properly without leaving duplicates
- Task Management: Moved task 93 (Google Vertex AI Provider) to position 88, Moved task 94 (Azure OpenAI Provider) to position 89, Updated task dependencies and regenerated task files, Cleaned up orphaned task files automatically
- All important validations remain in place: Prevents moving tasks to themselves, Prevents moving parent tasks to their own subtasks, Prevents circular dependencies
- Resolves the issue where moving tasks would leave both source and destination tasks in tasks.json and file system
* chore: formatting
* feat: Add .taskmaster directory (#619)
* chore: apply requested changes from next branch (#629)
* chore: rc version bump
* chore: cleanup migration-guide
* fix: bedrock set model and other fixes (#641)
* Fix: MCP log errors (#648)
* fix: projectRoot duplicate .taskmaster directory (#655)
* Version Packages
* chore: add package-lock.json
* Version Packages
* Version Packages
* fix: markdown format (#622)
* Version Packages
* Version Packages
* Fixed the Typo in cursor rules Issue:#675 (#677)
Fixed the typo in the Api keys
* Add one-click MCP server installation for Cursor (#671)
* Update README.md - Remove trailing commas (#673)
JSON doesn't allow for trailing commas, so these need to be removed in order for this to work
* chore: rc version bump
* fix: findTasksPath function
* fix: update MCP tool
* feat(ui): replace emoji complexity indicators with clean filled circle characters
Replace 🟢, 🟡, 🔴 emojis with ● character in getComplexityWithColor function
Update corresponding unit tests to expect ● instead of emojis
Improves UI continuity
* fix(ai-providers): change generateObject mode from 'tool' to 'auto' for better provider compatibility
Fixes Perplexity research role failing with 'tool-mode object generation' error
The hardcoded 'tool' mode was incompatible with providers like Perplexity that support structured JSON output but not function calling/tool use
Using 'auto' mode allows the AI SDK to choose the best approach for each provider
* Adds qwen3-235n-a22b:free to supported models. Closes#687)
* chore: adds a warning when custom openrouter model is a free model which suffers from lower rate limits, restricted context, and, worst of all, no access to tool_use.
* refactor: enhance add-task fuzzy search and fix duplicate banner display
- **Remove hardcoded category system** in add-task that always matched 'Task management'
- **Eliminate arbitrary limits** in fuzzy search results (5→25 high relevance, 3→10 medium relevance, 8→20 detailed tasks)
- **Improve semantic weighting** in Fuse.js search (details=3, description=2, title=1.5) for better relevance
- **Fix duplicate banner issue** by removing console.clear() and redundant displayBanner() calls from UI functions
- **Enhance context generation** to rely on semantic similarity rather than rigid pattern matching
- **Preserve terminal history** to address GitHub issue #553 about eating terminal lines
- **Remove displayBanner() calls** from: displayHelp, displayNextTask, displayTaskById, displayComplexityReport, set-task-status, clear-subtasks, dependency-manager functions
The add-task system now provides truly relevant task context based on semantic similarity rather than arbitrary categories and limits, while maintaining a cleaner terminal experience.
Changes span: add-task.js, ui.js, set-task-status.js, clear-subtasks.js, list-tasks.js, dependency-manager.js
Closes#553
* chore: changeset
* chore: passes tests and linting
* chore: more linting
* ninja(sync): add sync-readme command for GitHub README export with UTM tracking and professional markdown formatting. Experimental
* chore: changeset adjustment
* docs: Auto-update and format models.md
* chore: updates readme with npm download badges and mentions AI Jason who is joining the taskmaster core team.
* chore: fixes urls in readme npm packages
* chore: fixes urls in readme npm packages again
* fix: readme typo
* readme: fix twitter urls.
* readme: removes the taskmaster list output which is too overwhelming given its size with subtasks. may re-add later. fixes likely issues in the json for manual config in cursor and windsurf in the readme.
* chore: small readme nitpicks
* chore: adjusts changeset from minor to patch to avoid version bump to 0.17
* readme: moves up the documentation links higher up in the readme. same with the cursor one-click install.
* Fix Cursor deeplink installation with copy-paste instructions (#723)
* solve merge conflics with next. not gonna deal with these much longer.
* chore: update task files during rebase
* chore: task management
* feat: implement research command with enhanced context gathering - Add comprehensive research command with AI-powered queries - Implement ContextGatherer utility for reusable context extraction - Support multiple context types: tasks, files, custom text, project tree - Add fuzzy search integration for automatic task discovery - Implement detailed token breakdown display with syntax highlighting - Add enhanced UI with boxed output and code block formatting - Support different detail levels (low, medium, high) for responses - Include project-specific context for more relevant AI responses - Add token counting with gpt-tokens library integration - Create reusable patterns for future context-aware commands - Task 94.4 completed
* fix(move): adjusts logic to prevent an issue when moving from parent to subtask if the target parent has no subtasks.
* fix(move-task): Fix critical bugs in task move functionality
- Fixed parent-to-parent task moves where original task would remain as duplicate
- Fixed moving tasks to become subtasks of empty parents (validation errors)
- Fixed moving subtasks between different parent tasks
- Improved comma-separated batch moves with proper error handling
- Updated MCP tool to use core logic instead of custom implementation
- Resolves task duplication issues and enables proper task hierarchy reorganization
* chore: removes task004 chat that had like 11k lines lol.
* feat(show): add comma-separated ID support for multi-task viewing
- Enhanced get-task/show command to support comma-separated task IDs for efficient batch operations.
- New features include multiple task retrieval, smart display logic, interactive action menu with batch operations, MCP array response for AI agent efficiency, and support for mixed parent tasks and subtasks.
- Implementation includes updated CLI show command, enhanced MCP get_task tool, modified showTaskDirect function, and maintained full backward compatibility.
- Documentation updated across all relevant files.
Benefits include faster context gathering for AI agents, improved workflow with interactive batch operations, better UX with responsive layout, and enhanced API efficiency.
* feat(research): Adds MCP tool for command
- New MCP Tool: research tool enables AI-powered research with project context
- Context Integration: Supports task IDs, file paths, custom context, and project tree
- Fuzzy Task Discovery: Automatically finds relevant tasks using semantic search
- Token Management: Detailed token counting and breakdown by context type
- Multiple Detail Levels: Support for low, medium, and high detail research responses
- Telemetry Integration: Full cost tracking and usage analytics
- Direct Function: researchDirect with comprehensive parameter validation
- Silent Mode: Prevents console output interference with MCP JSON responses
- Error Handling: Robust error handling with proper MCP response formatting
This completes subtasks 94.5 (Direct Function) and 94.6 (MCP Tool) for the research command implementation, providing a powerful research interface for integrated development environments like Cursor.
Updated documentation across taskmaster.mdc, README.md, command-reference.md, examples.md, tutorial.md, and docs/README.md to highlight research capabilities and usage patterns.
* chore: task management
* fix(move): Fix move command bug that left duplicate tasks
- Fixed logic in moveTaskToNewId function that was incorrectly treating task-to-task moves as subtask creation instead of task replacement
- Updated moveTaskToNewId to properly handle replacing existing destination tasks instead of just placeholders
- The move command now correctly replaces destination tasks and cleans up properly without leaving duplicates
- Task Management: Moved task 93 (Google Vertex AI Provider) to position 88, Moved task 94 (Azure OpenAI Provider) to position 89, Updated task dependencies and regenerated task files, Cleaned up orphaned task files automatically
- All important validations remain in place: Prevents moving tasks to themselves, Prevents moving parent tasks to their own subtasks, Prevents circular dependencies
- Resolves the issue where moving tasks would leave both source and destination tasks in tasks.json and file system
* chore: moves to new task master config setup
* feat: add comma-separated status filtering to list-tasks
- supports multiple statuses like 'blocked,deferred' with comprehensive test coverage and backward compatibility
- also adjusts biome.json to stop bitching about templating.
* chore: linting ffs
* fix(generate): Fix generate command creating tasks in legacy location
- Update generate command default output directory from 'tasks' to '.taskmaster/tasks'
- Fix path.dirname() usage to properly derive output directory from tasks file location
- Update MCP tool description and documentation to reflect new structure
- Disable Biome linting rules for noUnusedTemplateLiteral and useArrowFunction
- Fixes issue where generate command was creating task files in the old 'tasks/' directory instead of the new '.taskmaster/tasks/' structure after the refactor
* chore: task management
* chore: task management some more
* fix(get-task): makes the projectRoot argument required to prevent errors when getting tasks.
* feat(tags): Implement tagged task lists migration system (Part 1/2)
This commit introduces the foundational infrastructure for tagged task lists,
enabling multi-context task management without remote storage to prevent merge conflicts.
CORE ARCHITECTURE:
• Silent migration system transforms tasks.json from old format { "tasks": [...] }
to new tagged format { "master": { "tasks": [...] } }
• Tag resolution layer provides complete backward compatibility - existing code continues to work
• Automatic configuration and state management for seamless user experience
SILENT MIGRATION SYSTEM:
• Automatic detection and migration of legacy tasks.json format
• Complete project migration: tasks.json + config.json + state.json
• Transparent tag resolution returns old format to maintain compatibility
• Zero breaking changes - all existing functionality preserved
CONFIGURATION MANAGEMENT:
• Added global.defaultTag setting (defaults to 'master')
• New tags section with gitIntegration placeholders for future features
• Automatic config.json migration during first run
• Proper state.json creation with migration tracking
USER EXPERIENCE:
• Clean, one-time FYI notice after migration (no emojis, professional styling)
• Notice appears after 'Suggested Next Steps' and is tracked in state.json
• Silent operation - users unaware migration occurred unless explicitly shown
TECHNICAL IMPLEMENTATION:
• Enhanced readJSON() with automatic migration detection and processing
• New utility functions: getCurrentTag(), resolveTag(), getTasksForTag(), setTasksForTag()
• Complete migration orchestration via performCompleteTagMigration()
• Robust error handling and fallback mechanisms
BACKWARD COMPATIBILITY:
• 100% backward compatibility maintained
• Existing CLI commands and MCP tools continue to work unchanged
• Legacy tasks.json format automatically upgraded on first read
• All existing workflows preserved
TESTING VERIFIED:
• Complete migration from legacy state works correctly
• Config.json properly updated with tagged system settings
• State.json created with correct initial values
• Migration notice system functions as designed
• All existing functionality continues to work normally
Part 2 will implement tag management commands (add-tag, use-tag, list-tags)
and MCP tool updates for full tagged task system functionality.
Related: Task 103 - Implement Tagged Task Lists System for Multi-Context Task Management
* docs: Update documentation and rules for tagged task lists system
- Updated task-structure.md with comprehensive tagged format explanation
- Updated all .cursor/rules/*.mdc files to reflect tagged system
- Completed subtask 103.16: Update Documentation for Tagged Task Lists System
* feat(mcp): Add tagInfo to responses and integrate ContextGatherer
Enhances the MCP server to include 'tagInfo' (currentTag, availableTags) in all tool responses, providing better client-side context.
- Introduces a new 'ContextGatherer' utility to standardize the collection of file, task, and project context for AI-powered commands. This refactors several task-manager modules ('expand-task', 'research', 'update-task', etc.) to use the new utility.
- Fixes an issue in 'get-task' and 'get-tasks' MCP tools where the 'projectRoot' was not being passed correctly, preventing tag information from being included in their responses.
- Adds subtask '103.17' to track the implementation of the task template importing feature.
- Updates documentation ('.cursor/rules', 'docs/') to align with the new tagged task system and context gatherer logic.
* fix: include tagInfo in AI service responses for MCP tools
- Update all core functions that call AI services to extract and return tagInfo
- Update all direct functions to include tagInfo in MCP response data
- Fixes issue where add_task, expand_task, and other AI commands were not including current tag and available tags information
- tagInfo includes currentTag from state.json and availableTags list
- Ensures tagged task lists system information is properly propagated through the full chain: AI service -> core function -> direct function -> MCP client
* fix(move-task): Update move functionality for tagged task system compatibility
- incorporate GitHub commit fixes and resolve readJSON data handling
* feat(tagged-tasks): Complete core tag management system implementation
- Implements comprehensive tagged task lists system for multi-context task management including core tag management functions (Task 103.11), MCP integration updates, and foundational infrastructure for tagged task operations. Features tag CRUD operations, validation, metadata tracking, deep task copying, and full backward compatibility.
* fix(core): Fixed move-task.js writing _rawTaggedData directly, updated writeJSON to filter tag fields, fixed CLI move command missing projectRoot, added ensureTagMetadata utility
* fix(tasks): ensure list tasks triggers silent migration if necessary.
* feat(tags): Complete show and add-task command tag support
- show command: Added --tag flag, fixed projectRoot passing to UI functions
- add-task command: Already had proper tag support and projectRoot handling
- Both commands now work correctly with tagged task lists system
- Migration logic works properly when viewing and adding tasks
- Updated subtask 103.5 with progress on high-priority command fixes
* fix(tags): Clean up rogue created properties and fix taskCount calculation
- Enhanced writeJSON to automatically filter rogue created/description properties from tag objects
- Fixed tags command error by making taskCount calculation dynamic instead of hardcoded
- Cleaned up existing rogue created property in master tag through forced write operation
- All created properties now properly located in metadata objects only
- Tags command working perfectly with proper task count display
- Data integrity maintained with automatic cleanup during write operations
* fix(tags): Resolve critical tag deletion and migration notice bugs
Major Issues Fixed:
1. Tag Deletion Bug: Fixed critical issue where creating subtasks would delete other tags
- Root cause: writeJSON function wasn't accepting projectRoot/tag parameters
- Fixed writeJSON signature and logic to handle tagged data structure
- Added proper merging of resolved tag data back into full tagged structure
2. Persistent Migration Notice: Fixed FYI notice showing after every command
- Root cause: markMigrationForNotice was resetting migrationNoticeShown to false
- Fixed migration logic to only trigger on actual legacy->tagged migrations
- Added proper _rawTaggedData checks to prevent false migration detection
3. Data Corruption Prevention: Enhanced data integrity safeguards
- Fixed writeJSON to filter out internal properties
- Added automatic cleanup of rogue properties
- Improved hasTaggedStructure detection logic
Commands Fixed: add-subtask, remove-subtask, and all commands now preserve tags correctly
* fix(tags): Resolve tag deletion bug in remove-task command
Refactored the core 'removeTask' function to be fully tag-aware, preventing data corruption.
- The function now correctly reads the full tagged data structure by prioritizing '_rawTaggedData' instead of operating on a resolved single-tag view.
- All subsequent operations (task removal, dependency cleanup, file writing) now correctly reference the full multi-tag data object, preserving the integrity of 'tasks.json'.
- This resolves the critical bug where removing a task would delete all other tags.
* fix(tasks): Ensure new task IDs are sequential within the target tag
Modified the ID generation logic in 'add-task.js' to calculate the next task ID based on the highest ID within the specified tag, rather than globally across all tags.
This fixes a critical bug where creating a task in a new tag would result in a high, non-sequential ID, such as ID 105 for the first task in a tag.
* fix(commands): Add missing context parameters to dependency and remove-subtask commands
- Add projectRoot and tag context to all dependency commands
- Add projectRoot and tag context to remove-subtask command
- Add --tag option to remove-subtask command
- Fixes critical bug where remove-subtask was deleting other tags due to missing context
- All dependency and subtask commands now properly handle tagged task lists
* feat(tags): Add --tag flag support to core commands for multi-context task management
- parse-prd now supports creating tasks in specific contexts
- Fixed tag preservation logic to prevent data loss
- analyze-complexity generates tag-specific reports
- Non-existent tags created automatically
- Enables rapid prototyping and parallel development workflows
* feat(tags): Complete tagged task lists system with enhanced use-tag command
- Multi-context task management with full CLI support
- Enhanced use-tag command shows next available task after switching
- Universal --tag flag support across all commands
- Seamless migration with zero disruption
- Complete tag management suite (add, delete, rename, copy, list)
- Smart confirmation logic and data integrity protection
- State management and configuration integration
- Real-world use cases for teams, features, and releases
* feat(tags): Complete tag support for remaining CLI commands
- Add --tag flag to update, move, and set-status commands
- Ensure all task operation commands now support tag context
- Fix missing tag context passing to core functions
- Complete comprehensive tag-aware command coverage
* feat(ui): add tag indicator to all CLI commands
- shows 🏷️ tag: tagname for complete context visibility across 15+ commands
* fix(ui): resolve dependency 'Not found' issue when filtering
- now correctly displays dependencies that exist but are filtered out of view
* feat(research): Add comprehensive AI-powered research command with interactive follow-ups, save functionality, intelligent context gathering, fuzzy task discovery, multi-source context support, enhanced display with syntax highlighting, clean inquirer menus, comprehensive help, and MCP integration with saveTo parameter
* feat(tags): Implement full MCP support for Tagged Task Lists and update-task append mode
* chore: task management
* feat(research): Enhance research command with follow-up menu, save functionality, and fix ContextGatherer token counting
* feat(git-workflow): Add automatic git branch-tag integration
- Implement automatic tag creation when switching to new git branches
- Add branch-tag mapping system for seamless context switching
- Enable auto-switch of task contexts based on current git branch
- Provide isolated task contexts per branch to prevent merge conflicts
- Add configuration support for enabling/disabling git workflow features
- Fix ES module compatibility issues in git-utils module
- Maintain zero migration impact with automatic 'master' tag creation
- Support parallel development with branch-specific task contexts
The git workflow system automatically detects branch changes and creates corresponding empty task tags, enabling developers to maintain separate task contexts for different features/branches while preventing task-related merge conflicts during collaborative development.
Resolves git workflow integration requirements for multi-context development.
* feat(git-workflow): Simplify git integration with --from-branch option
- Remove automatic git workflow and branch-tag switching - we are not ready for it yet
- Add --from-branch option to add-tag command for manual tag creation from git branch
- Remove git workflow configuration from config.json and assets
- Disable automatic tag switching functions in git-utils.js
- Add createTagFromBranch function for branch-based tag creation
- Support both CLI and MCP interfaces for --from-branch functionality
- Fix ES module imports in git-utils.js and utils.js
- Maintain user control over tag contexts without forced automation
The simplified approach allows users to create tags from their current git branch when desired, without the complexity and rigidity of automatic branch-tag synchronization. Users maintain full control over their tag contexts while having convenient tools for git-based workflows when needed.
* docs: Update rule files to reflect simplified git integration approach
- Remove automatic git workflow features, update to manual --from-branch option, change Part 2 references to completed status
* fix(commands): Fix add-tag --from-branch requiring tagName argument
- Made tagName optional when using --from-branch - Added validation for either tagName or --from-branch
- Fixes 'missing required argument' error with --from-branch option
* fix(mcp): Prevent tag deletion on subtask update
Adds a safety net to the writeJSON utility to prevent data loss when updating subtasks via the MCP server.
The MCP process was inadvertently causing the _rawTaggedData property, which holds the complete multi-tag structure, to be lost. When writeJSON received the data for only a single tag, it would overwrite the entire tasks.json file, deleting all other tags.
This fix makes writeJSON more robust. If it receives data that looks like a single, resolved tag without the complete structure, it re-reads the full tasks.json file from disk. It then carefully merges the updated data back into the correct tag within the full structure, preserving all other tags.
* fix: resolve all remaining test failures and improve test reliability
- Fix clear-subtasks test by implementing deep copy of mock data to prevent mutation issues between tests
- Fix add-task test by uncommenting and properly configuring generateTaskFiles call with correct parameters
- Fix analyze-task-complexity tests by properly mocking fs.writeFileSync with shared mock function
- Update test expectations to match actual function signatures and data structures
- Improve mock setup consistency across all test suites
- Ensure all tests now pass (329 total: 318 passed, 11 skipped, 0 failed)
* chore: task management
---------
Co-authored-by: Eyal Toledano <eyal@microangel.so>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: Ibrahim H. <bitsnaps@yahoo.fr>
Co-authored-by: Saksham Goel <sakshamgoel1107@gmail.com>
Co-authored-by: Joe Danziger <joe@ticc.net>
Co-authored-by: Aaron Gabriel Neyer <ag@unforced.org>
* fix: claude-4 not having the right max_tokens
* feat: add bedrock support
* chore: fix package-lock.json
* fix: rename baseUrl to baseURL
* feat: add azure support
* fix: final touches of azure integration
* feat: add google vertex provider
* chore: fix tests and refactor task-manager.test.js
* chore: move task 92 to 94
* fix(add-task): fixes an isse in which stdout leaks out of add-task causing the mcp server to crash if used.
* chore: add changeset
---------
Co-authored-by: Ralph Khreish <35776126+Crunchyman-ralph@users.noreply.github.com>
Adds a new CLI command and MCP tool to reorganize tasks and subtasks within the hierarchy. Features include:
- Moving tasks between different positions in the task list
- Converting tasks to subtasks and vice versa
- Moving subtasks between parents
- Moving multiple tasks at once with comma-separated IDs
- Creating placeholder tasks when moving to new IDs
- Validation to prevent accidental data loss
This is particularly useful for resolving merge conflicts when multiple team members create tasks on different branches.
Enhance analyze-complexity to support analyzing specific tasks by ID or range:
- Add --id option for comma-separated task IDs
- Add --from/--to options for analyzing tasks within a range
- Implement intelligent merging with existing reports
- Update CLI, MCP tools, and direct functions for consistent support
- Add changeset documenting the feature
This commit implements automatic tasks.json file creation when it doesn't exist:
- When tasks.json is missing or invalid, create a new one with { tasks: [] }
- Allows adding tasks immediately after initializing a project without parsing a PRD
- Replaces error with informative feedback about file creation
- Enables smoother workflow for new projects or directories
This change improves user experience by removing the requirement to parse a PRD
before adding the first task to a newly initialized project. Closes#494
This commit significantly improves the functionality by implementing
fuzzy semantic search to find contextually relevant dependencies:
- Add Fuse.js for powerful fuzzy search capability with weighted multi-field matching
- Implement score-based relevance ranking with high/medium relevance tiers
- Enhance context generation to include detailed information about similar tasks
- Fix context shadowing issue that prevented detailed task information from
reaching the AI model
- Add informative CLI output showing semantic search results and dependency patterns
- Improve formatting of dependency information in prompts with task titles
The result is that newly created tasks are automatically placed within the correct
dependency structure without manual intervention, with the AI having much better
context about which tasks are most relevant to the new one being created.
This significantly improves the user experience by reducing the need to manually
update task dependencies after creation, all without increasing token usage or costs.
This commit introduces several improvements to AI interactions and
task management functionalities:
- AI Provider Enhancements (for Telemetry & Robustness):
- :
- Added a check in to ensure
is a string, throwing an error if not. This prevents downstream
errors (e.g., in ).
- , , :
- Standardized return structures for their respective
and functions to consistently include /
and fields. This aligns them with other providers (like
Anthropic, Google, Perplexity) for consistent telemetry data
collection, as part of implementing subtask 77.14 and similar work.
- Task Expansion ():
- Updated to be more explicit
about using an empty array for empty to
better guide AI output.
- Implemented a pre-emptive cleanup step in
to replace malformed with
before JSON parsing. This improves resilience to AI output quirks,
particularly observed with Perplexity.
- Adjusts issue in commands.js where successfulRemovals would be undefined. It's properly invoked from the result variable now.
- Updates supported models for Gemini
These changes address issues observed during E2E tests, enhance the
reliability of AI-driven task analysis and expansion, and promote
consistent telemetry data across multiple AI providers.
This commit updates to more robustly handle responses from .
Previously, the module strictly expected the AI-generated object to be nested under . This change ensures that it now first checks if itself contains the expected task data object, and then falls back to checking .
This enhancement increases compatibility with varying AI provider response structures, similar to the improvements recently made in .
This commit introduces two key improvements:
1. **Google Provider Telemetry:**
- Updated to include token usage data (, ) in the responses from and .
- This aligns the Google provider with others for consistent AI usage telemetry.
2. **Robust AI Object Response Handling:**
- Modified to more flexibly handle responses from .
- The add-task module now check for the AI-generated object in both and , improving compatibility with different AI provider response structures (e.g., Gemini).
These changes enhance the reliability of AI interactions, particularly with the Google provider, and ensure accurate telemetry collection.
This commit applies the standard telemetry pattern to the analyze-task-complexity command and its corresponding MCP tool.
Key Changes:
1. Core Logic (scripts/modules/task-manager/analyze-task-complexity.js):
- The call to generateTextService now includes commandName: 'analyze-complexity' and outputType.
- The full response { mainResult, telemetryData } is captured.
- mainResult (the AI-generated text) is used for parsing the complexity report JSON.
- If running in CLI mode (outputFormat === 'text'), displayAiUsageSummary is called with the telemetryData.
- The function now returns { report: ..., telemetryData: ... }.
2. Direct Function (mcp-server/src/core/direct-functions/analyze-task-complexity.js):
- The call to the core analyzeTaskComplexity function now passes the necessary context for telemetry (commandName, outputType).
- The successful response object now correctly extracts coreResult.telemetryData and includes it in the data.telemetryData field returned to the MCP client.
This commit applies the standard telemetry pattern to the update-subtask command and its corresponding MCP tool.
Key Changes:
1. Core Logic (scripts/modules/task-manager/update-subtask-by-id.js):
- The call to generateTextService now includes commandName: 'update-subtask' and outputType.
- The full response { mainResult, telemetryData } is captured.
- mainResult (the AI-generated text) is used for the appended content.
- If running in CLI mode (outputFormat === 'text'), displayAiUsageSummary is called with the telemetryData.
- The function now returns { updatedSubtask: ..., telemetryData: ... }.
2. Direct Function (mcp-server/src/core/direct-functions/update-subtask-by-id.js):
- The call to the core updateSubtaskById function now passes the necessary context for telemetry (commandName, outputType).
- The successful response object now correctly extracts coreResult.telemetryData and includes it in the data.telemetryData field returned to the MCP client.
This commit applies the standard telemetry pattern to the update-tasks command and its corresponding MCP tool.
Key Changes:
1. Core Logic (scripts/modules/task-manager/update-tasks.js):
- The call to generateTextService now includes commandName: 'update-tasks' and outputType.
- The full response { mainResult, telemetryData } is captured.
- mainResult (the AI-generated text) is used for parsing the updated task JSON.
- If running in CLI mode (outputFormat === 'text'), displayAiUsageSummary is called with the telemetryData.
- The function now returns { success: true, updatedTasks: ..., telemetryData: ... }.
2. Direct Function (mcp-server/src/core/direct-functions/update-tasks.js):
- The call to the core updateTasks function now passes the necessary context for telemetry (commandName, outputType).
- The successful response object now correctly extracts coreResult.telemetryData and includes it in the data.telemetryData field returned to the MCP client.
This commit applies the standard telemetry pattern to the command and its corresponding MCP tool.
Key Changes:
1. **Core Logic ():**
- The call to now includes and .
- The full response is captured.
- (the AI-generated text) is used for parsing the updated task JSON.
- If running in CLI mode (), is called with the .
- The function now returns .
2. **Direct Function ():**
- The call to the core function now passes the necessary context for telemetry (, ).
- The successful response object now correctly extracts and includes it in the field returned to the MCP client.
This commit implements AI usage telemetry for the `expand-all-tasks` command/tool and refactors its CLI output for clarity and consistency.
Key Changes:
1. **Telemetry Integration for `expand-all-tasks` (Subtask 77.8):**\n - The `expandAllTasks` core logic (`scripts/modules/task-manager/expand-all-tasks.js`) now calls the `expandTask` function for each eligible task and collects the individual `telemetryData` returned.\n - A new helper function `_aggregateTelemetry` (in `utils.js`) is used to sum up token counts and costs from all individual expansions into a single `telemetryData` object for the entire `expand-all` operation.\n - The `expandAllTasksDirect` wrapper (`mcp-server/src/core/direct-functions/expand-all-tasks.js`) now receives and passes this aggregated `telemetryData` in the MCP response.\n - For CLI usage, `displayAiUsageSummary` is called once with the aggregated telemetry.
2. **Improved CLI Output for `expand-all`:**\n - The `expandAllTasks` core function now handles displaying a final "Expansion Summary" box (showing Attempted, Expanded, Skipped, Failed counts) directly after the aggregated telemetry summary.\n - This consolidates all summary output within the core function for better flow and removes redundant logging from the command action in `scripts/modules/commands.js`.\n - The summary box border is green for success and red if any expansions failed.
3. **Code Refinements:**\n - Ensured `chalk` and `boxen` are imported in `expand-all-tasks.js` for the new summary box.\n - Minor adjustments to logging messages for clarity.
This commit integrates AI usage telemetry for the `expand-task` command/tool and resolves issues related to incorrect return type handling and logging.
Key Changes:
1. **Telemetry Integration for `expand-task` (Subtask 77.7):**\n - Applied the standard telemetry pattern to the `expandTask` core logic (`scripts/modules/task-manager/expand-task.js`) and the `expandTaskDirect` wrapper (`mcp-server/src/core/direct-functions/expand-task.js`).\n - AI service calls now pass `commandName` and `outputType`.\n - Core function returns `{ task, telemetryData }`.\n - Direct function correctly extracts `task` and passes `telemetryData` in the MCP response `data` field.\n - Telemetry summary is now displayed in the CLI output for the `expand` command.
2. **Fix AI Service Return Type Handling (`ai-services-unified.js`):**\n - Corrected the `_unifiedServiceRunner` function to properly handle the return objects from provider-specific functions (`generateText`, `generateObject`).\n - It now correctly extracts `providerResponse.text` or `providerResponse.object` into the `mainResult` field based on `serviceType`, resolving the "text.trim is not a function" error encountered during `expand-task`.
3. **Log Cleanup:**\n - Removed various redundant or excessive `console.log` statements across multiple files (as indicated by recent changes) to reduce noise and improve clarity, particularly for MCP interactions.
Implements AI usage telemetry capture and propagation for the command and MCP tool, following the established telemetry pattern.
Key changes:
- **Core ():**
- Modified the call to include and .
- Updated to receive from .
- Adjusted to return an object .
- Added a call to to show telemetry data in the CLI output when not in MCP mode.
- **Direct Function ():**
- Updated the call to the core function to pass , , and .
- Modified to correctly handle the new return structure from the core function.
- Ensures received from the core function is included in the field of the successful MCP response.
- **MCP Tool ():**
- No changes required; existing correctly passes through the object containing .
- **CLI Command ():**
- The command's action now relies on the core function to handle CLI success messages and telemetry display.
This ensures that AI usage for the functionality is tracked and can be displayed or logged as appropriate for both CLI and MCP interactions.
