This commit updates all relevant documentation (READMEs, docs/*, .cursor/rules) to accurately reflect the finalized unified AI service architecture and the new configuration system (.taskmasterconfig + .env/mcp.json). It also includes the final code cleanup steps related to the refactoring.
Key Changes:
1. **Documentation Updates:**
* Revised `README.md`, `README-task-master.md`, `assets/scripts_README.md`, `docs/configuration.md`, and `docs/tutorial.md` to explain the new configuration split (.taskmasterconfig vs .env/mcp.json).
* Updated MCP configuration examples in READMEs and tutorials to only include API keys in the `env` block.
* Added/updated examples for using the `--research` flag in `docs/command-reference.md`, `docs/examples.md`, and `docs/tutorial.md`.
* Updated `.cursor/rules/ai_services.mdc`, `.cursor/rules/architecture.mdc`, `.cursor/rules/dev_workflow.mdc`, `.cursor/rules/mcp.mdc`, `.cursor/rules/taskmaster.mdc`, `.cursor/rules/utilities.mdc`, and `.cursor/rules/new_features.mdc` to align with the new architecture, removing references to old patterns/files.
* Removed internal rule links from user-facing rules (`taskmaster.mdc`, `dev_workflow.mdc`, `self_improve.mdc`).
* Deleted outdated example file `docs/ai-client-utils-example.md`.
2. **Final Code Refactor & Cleanup:**
* Corrected `update-task-by-id.js` by removing the last import from the old `ai-services.js`.
* Refactored `update-subtask-by-id.js` to correctly use the unified service and logger patterns.
* Removed the obsolete export block from `mcp-server/src/core/task-master-core.js`.
* Corrected logger implementation in `update-tasks.js` for CLI context.
* Updated API key mapping in `config-manager.js` and `ai-services-unified.js`.
3. **Configuration Files:**
* Updated API keys in `.cursor/mcp.json`, replacing `GROK_API_KEY` with `XAI_API_KEY`.
* Updated `.env.example` with current API key names.
* Added `azureOpenaiBaseUrl` to `.taskmasterconfig` example.
4. **Task Management:**
* Marked documentation subtask 61.10 as 'done'.
* Includes various other task content/status updates from the diff summary.
5. **Changeset:**
* Added `.changeset/cuddly-zebras-matter.md` for user-facing `expand`/`expand-all` improvements.
This commit concludes the major architectural refactoring (Task 61) and ensures the documentation accurately reflects the current system.
This commit completes the major refactoring initiative (Task 61) to migrate all AI-interacting task management functions to the unified service layer (`ai-services-unified.js`) and standardized configuration (`config-manager.js`).
Key Changes:
1. **Refactor `update-task-by-id` & `update-subtask-by-id`:**
* Replaced direct AI client logic and config fetching with calls to `generateTextService`.
* Preserved original prompt logic while ensuring JSON output format is requested.
* Implemented robust manual JSON parsing and Zod validation for text-based AI responses.
* Corrected logger implementation (`logFn`/`isMCP`/`report` pattern) for both CLI and MCP contexts.
* Ensured correct passing of `session` context to the unified service.
* Refactored associated direct function wrappers (`updateTaskByIdDirect`, `updateSubtaskByIdDirect`) to remove AI client initialization and call core logic appropriately.
2. **CLI Environment Loading:**
* Added `dotenv.config()` to `scripts/dev.js` to ensure consistent loading of the `.env` file for CLI operations.
3. **Obsolete Code Removal:**
* Deleted unused helper files:
* `scripts/modules/task-manager/get-subtasks-from-ai.js`
* `scripts/modules/task-manager/generate-subtask-prompt.js`
* `scripts/modules/ai-services.js`
* `scripts/modules/ai-client-factory.js`
* `mcp-server/src/core/utils/ai-client-utils.js`
* Removed corresponding imports/exports from `scripts/modules/task-manager.js` and `mcp-server/src/core/task-master-core.js`.
4. **Verification:**
* Successfully tested `update-task` and `update-subtask` via both CLI and MCP after refactoring.
5. **Task Management:**
* Marked subtasks 61.38, 61.39, 61.40, 61.41, and 61.33 as 'done'.
* Includes other task content/status updates as reflected in the diff.
This completes the migration of core AI features to the new architecture, enhancing maintainability and flexibility.
Completes the refactoring of the AI-interacting task management functions by aligning `update-tasks.js` with the unified service architecture and removing now-unused helper files.
Key Changes:
- **`update-tasks.js` Refactoring:**
- Replaced direct AI client calls and AI-specific config fetching with a call to `generateTextService` from `ai-services-unified.js`.
- Preserved the original system and user prompts requesting a JSON array output.
- Implemented manual JSON parsing (`parseUpdatedTasksFromText`) with Zod validation to handle the text response reliably.
- Updated the core function signature to accept the standard `context` object (`{ session, mcpLog }`).
- Corrected logger implementation to handle both MCP (`mcpLog`) and CLI (`consoleLog`) contexts appropriately.
- **Related Component Updates:**
- Refactored `mcp-server/src/core/direct-functions/update-tasks.js` to use the standard direct function pattern (logger wrapper, silent mode, call core function with context).
- Verified `mcp-server/src/tools/update.js` correctly passes arguments and context.
- Verified `scripts/modules/commands.js` (update command) correctly calls the refactored core function.
- **Obsolete File Cleanup:**
- Removed the now-unused `scripts/modules/task-manager/get-subtasks-from-ai.js` file and its export, as its functionality was integrated into `expand-task.js`.
- Removed the now-unused `scripts/modules/task-manager/generate-subtask-prompt.js` file and its export for the same reason.
- **Task Management:**
- Marked subtasks 61.38, 61.39, and 61.41 as complete.
This commit finalizes the alignment of `updateTasks`, `updateTaskById`, `expandTask`, `expandAllTasks`, `analyzeTaskComplexity`, `addTask`, and `parsePRD` with the unified AI service and configuration management patterns.
Refactors the `expandTask` and `expandAllTasks` features to complete subtask 61.38 and enhance functionality based on subtask 61.37's refactor.
Key Changes:
- **Additive Expansion (`expandTask`, `expandAllTasks`):**
- Modified `expandTask` default behavior to append newly generated subtasks to any existing ones.
- Added a `force` flag (passed down from CLI/MCP via `--force` option/parameter) to `expandTask` and `expandAllTasks`. When `force` is true, existing subtasks are cleared before generating new ones.
- Updated relevant CLI command (`expand`), MCP tool (`expand_task`, `expand_all`), and direct function wrappers (`expandTaskDirect`, `expandAllTasksDirect`) to handle and pass the `force` flag.
- **Complexity Report Integration (`expandTask`):**
- `expandTask` now reads `scripts/task-complexity-report.json`.
- If an analysis entry exists for the target task:
- `recommendedSubtasks` is used to determine the number of subtasks to generate (unless `--num` is explicitly provided).
- `expansionPrompt` is used as the primary prompt content for the AI.
- `reasoning` is appended to any additional context provided.
- If no report entry exists or the report is missing, it falls back to default subtask count (from config) and standard prompt generation.
- **`expandAllTasks` Orchestration:**
- Refactored `expandAllTasks` to primarily iterate through eligible tasks (pending/in-progress, considering `force` flag and existing subtasks) and call the updated `expandTask` function for each.
- Removed redundant logic (like complexity reading or explicit subtask clearing) now handled within `expandTask`.
- Ensures correct context (`session`, `mcpLog`) and flags (`useResearch`, `force`) are passed down.
- **Configuration & Cleanup:**
- Updated `.cursor/mcp.json` with new Perplexity/Anthropic API keys (old ones invalidated).
- Completed refactoring of `expandTask` started in 61.37, confirming usage of `generateTextService` and appropriate prompts.
- **Task Management:**
- Marked subtask 61.37 as complete.
- Updated `.changeset/cuddly-zebras-matter.md` to reflect user-facing changes.
These changes finalize the refactoring of the task expansion features, making them more robust, configurable via complexity analysis, and aligned with the unified AI service architecture.
Refactored the `expandTask` feature (`scripts/modules/task-manager/expand-task.js`) and related components (`commands.js`, `mcp-server/src/tools/expand-task.js`, `mcp-server/src/core/direct-functions/expand-task.js`) to integrate with the unified AI service layer (`ai-services-unified.js`) and configuration management (`config-manager.js`).
The refactor involved:
- Removing direct AI client calls and configuration fetching from `expand-task.js`.
- Attempting to use `generateObjectService` for structured subtask generation. This failed due to provider-specific errors (Perplexity internal errors, Anthropic schema translation issues).
- Reverting the core AI interaction to use `generateTextService`, asking the LLM to format its response as JSON containing a "subtasks" array.
- Re-implementing manual JSON parsing and Zod validation (`parseSubtasksFromText`) to handle the text response reliably.
- Updating prompt generation functions (`generateMainSystemPrompt`, `generateMainUserPrompt`, `generateResearchUserPrompt`) to request the correct JSON object structure within the text response.
- Ensuring the `expandTaskDirect` function handles pre-checks (force flag, task status) and correctly passes the `session` context and logger wrapper to the core `expandTask` function.
- Correcting duplicate imports in `commands.js`.
- Validating the refactored feature works correctly via both CLI (`task-master expand --id <id>`) and MCP (`expand_task` tool) for main and research roles.
This aligns the task expansion feature with the new architecture while using the more robust text generation approach due to current limitations with structured output services. Closes subtask 61.37.
Refactored the feature and related components (CLI command, MCP tool, direct function) to integrate with the unified AI service layer ().
Initially, was implemented to leverage structured output generation. However, this approach encountered persistent errors:
- Perplexity provider returned internal server errors.
- Anthropic provider failed with schema type and model errors.
Due to the unreliability of for this specific use case, the core AI interaction within was reverted to use . Basic manual JSON parsing and cleanup logic for the text response were reintroduced.
Key changes include:
- Removed direct AI client initialization (Anthropic, Perplexity).
- Removed direct fetching of AI model configuration parameters.
- Removed manual AI retry/fallback/streaming logic.
- Replaced direct AI calls with a call to .
- Updated wrapper to pass session context correctly.
- Updated MCP tool for correct path resolution and argument passing.
- Updated CLI command for correct path resolution.
- Preserved core functionality: task loading/filtering, report generation, CLI summary display.
Both the CLI command ([INFO] Initialized Perplexity client with OpenAI compatibility layer
[INFO] Initialized Perplexity client with OpenAI compatibility layer
Analyzing task complexity from: tasks/tasks.json
Output report will be saved to: scripts/task-complexity-report.json
Analyzing task complexity and generating expansion recommendations...
[INFO] Reading tasks from tasks/tasks.json...
[INFO] Found 62 total tasks in the task file.
[INFO] Skipping 31 tasks marked as done/cancelled/deferred. Analyzing 31 active tasks.
Skipping 31 tasks marked as done/cancelled/deferred. Analyzing 31 active tasks.
[INFO] Claude API attempt 1/2
[ERROR] Error in Claude API call: 400 {"type":"error","error":{"type":"invalid_request_error","message":"max_tokens: 100000 > 64000, which is the maximum allowed number of output tokens for claude-3-7-sonnet-20250219"}}
[ERROR] Non-overload Claude API error: 400 {"type":"error","error":{"type":"invalid_request_error","message":"max_tokens: 100000 > 64000, which is the maximum allowed number of output tokens for claude-3-7-sonnet-20250219"}}
Claude API error: 400 {"type":"error","error":{"type":"invalid_request_error","message":"max_tokens: 100000 > 64000, which is the maximum allowed number of output tokens for claude-3-7-sonnet-20250219"}}
[ERROR] Error during AI analysis: 400 {"type":"error","error":{"type":"invalid_request_error","message":"max_tokens: 100000 > 64000, which is the maximum allowed number of output tokens for claude-3-7-sonnet-20250219"}}
[ERROR] Error analyzing task complexity: 400 {"type":"error","error":{"type":"invalid_request_error","message":"max_tokens: 100000 > 64000, which is the maximum allowed number of output tokens for claude-3-7-sonnet-20250219"}}) and the MCP tool () have been verified to work correctly with this revised approach.
- Fixed MCP server initialization warnings by refactoring config-manager.js to handle missing project roots silently during startup
- Added project root tracking (loadedConfigRoot) to improve config caching and prevent unnecessary reloads
- Modified _loadAndValidateConfig to return defaults without warnings when no explicitRoot provided
- Improved getConfig to only update cache when loading config with a specific project root
- Ensured warning messages still appear when explicitly specified roots have missing/invalid configs
- Prevented console output during MCP startup that was causing JSON parsing errors
- Verified parse_prd and other MCP tools still work correctly with the new config loading approach.
- Replaces test perplexity api key in mcp.json and rolls it. It's invalid now.
Resolves persistent 404 'Not Found' errors when calling Anthropic models via the Vercel AI SDK. The primary issue was likely related to incorrect or missing API headers.
- Refactors Anthropic provider (src/ai-providers/anthropic.js) to use the standard 'anthropic-version' header instead of potentially outdated/incorrect beta headers when creating the client instance.
- Updates the default fallback model ID in .taskmasterconfig to 'claude-3-5-sonnet-20241022'.
- Fixes the interactive model setup (task-master models --setup) in scripts/modules/commands.js to correctly filter and default the main model selection.
- Improves the cost display in the 'task-master models' command output to explicitly show 'Free' for models with zero cost.
- Updates description for the 'id' parameter in the 'set_task_status' MCP tool definition for clarity.
- Updates list of models and costs
This commit implements several related improvements to the models command and configuration system:
- Added MCP support for the models command:
- Created new direct function implementation in models.js
- Registered modelsDirect in task-master-core.js for proper export
- Added models tool registration in tools/index.js
- Ensured project name replacement when copying .taskmasterconfig in init.js
- Improved .taskmasterconfig copying during project initialization:
- Added copyTemplateFile() call in createProjectStructure()
- Ensured project name is properly replaced in the config
- Restructured tool registration in logical workflow groups:
- Organized registration into 6 functional categories
- Improved command ordering to follow typical workflow
- Added clear group comments for maintainability
- Enhanced documentation in cursor rules:
- Updated dev_workflow.mdc with clearer config management instructions
- Added comprehensive models command reference to taskmaster.mdc
- Clarified CLI vs MCP usage patterns and options
- Added warning against manual .taskmasterconfig editing
- Unified Service: Introduced 'scripts/modules/ai-services-unified.js' to centralize AI interactions using provider modules ('src/ai-providers/') and the Vercel AI SDK.
- Provider Modules: Implemented 'anthropic.js' and 'perplexity.js' wrappers for Vercel SDK.
- 'updateSubtaskById' Fix: Refactored the AI call within 'updateSubtaskById' to use 'generateTextService' from the unified layer, resolving runtime errors related to parameter passing and streaming. This serves as the pattern for refactoring other AI calls in 'scripts/modules/task-manager/'.
- Task Status: Marked Subtask 61.19 as 'done'.
- Rules: Added new 'ai-services.mdc' rule.
This centralizes AI logic, replacing previous direct SDK calls and custom implementations. API keys are resolved via 'resolveEnvVariable' within the service layer. The refactoring of 'updateSubtaskById' establishes the standard approach for migrating other AI-dependent functions in the task manager module to use the unified service.
Relates to Task 61.
BREAKING CHANGE: Taskmaster now requires a `.taskmasterconfig` file for model/parameter settings. Environment variables (except API keys) are no longer used for overrides.
- Throws an error if `.taskmasterconfig` is missing, guiding user to run `task-master models --setup`." -m "- Removed env var checks from config getters in `config-manager.js`." -m "- Updated `env.example` to remove obsolete variables." -m "- Refined missing config file error message in `commands.js`.
The interactive model setup triggered by `task-master models --setup` was previously attempting to call non-existent setter functions (`setMainModel`, etc.) in `config-manager.js`, leading to errors and preventing configuration updates.
This commit refactors the `--setup` logic within the `models` command handler in `scripts/modules/commands.js`. It now correctly:
- Loads the current configuration using `getConfig()`." -m "- Updates the appropriate sections of the loaded configuration object based on user selections from `inquirer`." -m "- Saves the modified configuration using the existing `writeConfig()` function from `config-manager.js`." -m "- Handles disabling the fallback model correctly."
This commit centralizes configuration and environment variable access across various modules by consistently utilizing getters from scripts/modules/config-manager.js. This replaces direct access to process.env and the global CONFIG object, leading to improved consistency, maintainability, testability, and better handling of session-specific configurations within the MCP context.
Key changes include:
- Centralized Getters: Replaced numerous instances of process.env.* and CONFIG.* with corresponding getter functions (e.g., getLogLevel, getMainModelId, getResearchMaxTokens, getMainTemperature, isApiKeySet, getDebugFlag, getDefaultSubtasks).
- Session Awareness: Ensured that the session object is passed to config getters where necessary, particularly within AI service calls (ai-services.js, add-task.js) and error handling (ai-services.js), allowing for session-specific environment overrides.
- API Key Checks: Standardized API key availability checks using isApiKeySet() instead of directly checking process.env.* (e.g., for Perplexity in commands.js and ai-services.js).
- Client Instantiation Cleanup: Removed now-redundant/obsolete local client instantiation functions (getAnthropicClient, getPerplexityClient) from ai-services.js and the global Anthropic client initialization from dependency-manager.js. Client creation should now rely on the config manager and factory patterns.
- Consistent Debug Flag Usage: Standardized calls to getDebugFlag() in commands.js, removing potentially unnecessary null arguments.
- Accurate Progress Calculation: Updated AI stream progress reporting (ai-services.js, add-task.js) to use getMainMaxTokens(session) for more accurate calculations.
- Minor Cleanup: Removed unused import from scripts/modules/commands.js.
Specific module updates:
- :
- Uses getLogLevel() instead of process.env.LOG_LEVEL.
- :
- Replaced direct env/config access for model IDs, tokens, temperature, API keys, and default subtasks with appropriate getters.
- Passed session to handleClaudeError.
- Removed local getPerplexityClient and getAnthropicClient functions.
- Updated progress calculations to use getMainMaxTokens(session).
- :
- Uses isApiKeySet('perplexity') for API key checks.
- Uses getDebugFlag() consistently for debug checks.
- Removed unused import.
- :
- Removed global Anthropic client initialization.
- :
- Uses config getters (getResearch..., getMain...) for Perplexity and Claude API call parameters, preserving customEnv override logic.
This refactoring also resolves a potential SyntaxError: Identifier 'getPerplexityClient' has already been declared by removing the duplicated/obsolete function definition previously present in ai-services.js.
This commit focuses on standardizing configuration and API key access patterns across key modules as part of subtask 61.34.
Key changes include:
- Refactored `ai-services.js` to remove global AI clients and use `resolveEnvVariable` for API key checks. Client instantiation now relies on `getAnthropicClient`/`getPerplexityClient` accepting a session object.
- Refactored `task-manager.js` (`analyzeTaskComplexity` function) to use the unified `generateTextService` from `ai-services-unified.js`, removing direct AI client calls.
- Replaced direct `process.env` access for model parameters and other configurations (`PERPLEXITY_MODEL`, `CONFIG.*`) in `task-manager.js` with calls to the appropriate getters from `config-manager.js` (e.g., `getResearchModelId(session)`, `getMainMaxTokens(session)`).
- Ensured `utils.js` (`resolveEnvVariable`) correctly handles potentially undefined session objects.
- Updated function signatures where necessary to propagate the `session` object for correct context-aware configuration/key retrieval.
This moves towards the goal of using `ai-client-factory.js` and `ai-services-unified.js` as the standard pattern for AI interactions and centralizing configuration management through `config-manager.js`.
- Integrate for Grok models and for OpenRouter into the AI client factory ().
- Install necessary provider dependencies (, , and other related packages, updated core).
- Update environment variable checks () and client creation logic () for the new providers.
- Add and correct unit tests in to cover xAI and OpenRouter instantiation, error handling, and environment variable resolution.
- Corrected mock paths and names in tests to align with official package names.
- Verify all tests (28 total) pass for .
- Confirm test coverage remains high (~90%) after additions.
Introduces a configurable fallback model and adds support for additional AI provider API keys in the environment setup.
- **Add Fallback Model Configuration (.taskmasterconfig):**
- Implemented a new section in .
- Configured as the default fallback model, enhancing resilience if the primary model fails.
- **Update Default Model Configuration (.taskmasterconfig):**
- Changed the default model to .
- Changed the default model to .
- **Add API Key Examples (assets/env.example):**
- Added example environment variables for:
- (for OpenAI/OpenRouter)
- (for Google Gemini)
- (for XAI Grok)
- Included format comments for clarity.
Refactored `config-manager.js` to handle different execution contexts (CLI vs. MCP) and fixed related Jest tests.
- Modified `readConfig` and `writeConfig` to accept an optional `explicitRoot` parameter, allowing explicit path specification (e.g., from MCP) while retaining automatic project root finding for CLI usage.
- Updated getter/setter functions (`getMainProvider`, `setMainModel`, etc.) to accept and propagate the `explicitRoot`.
- Resolved Jest testing issues for dynamic imports by using `jest.unstable_mockModule` for `fs` and `chalk` dependencies *before* the dynamic `import()`.
- Corrected console error assertions in tests to match exact logged messages.
- Updated `.cursor/rules/tests.mdc` with guidelines for `jest.unstable_mockModule` and precise console assertions.
Addresses `process.stdout.clearLine is not a function` error when running AI-dependent commands non-interactively (e.g., `update-subtask`).
Adds `process.stdout.isTTY` check before attempting to use terminal-specific output manipulations.
feat: Implement initial config manager for AI models
Adds `scripts/modules/config-manager.js` to handle reading/writing model selections from/to `.taskmasterconfig`.
Implements core functions: findProjectRoot, read/writeConfig, validateModel, get/setModel.
Defines valid model lists. Completes initial work for Subtask 61.1.
The function used terminal manipulation functions
(like , ) for the CLI
streaming progress indicator. This caused errors when Task Master commands
involving AI streaming were run in non-interactive terminals (e.g., via
output redirection, some CI environments, or integrated terminals).
This commit adds a check for to the condition
that controls the display of the CLI progress indicator, ensuring these
functions are only called when standard output is a fully interactive TTY.
Improves the quality and relevance of research-backed AI operations:
- Tweaks Perplexity AI calls to use max input tokens (8700), temperature 0.1, high context size, and day-fresh search recency.
- Adds a system prompt to guide Perplexity research output.
Docs:
- Updates CLI examples in taskmaster.mdc to use ANSI-C quoting ($'...') for multi-line prompts, ensuring they work correctly in bash/zsh.
Centralizes init command logic within the main CLI structure. The action handler in commands.js now directly calls initializeProject from the init.js module, resolving issues with argument parsing (like -y) and removing the need for the separate bin/task-master-init.js executable. Updates package.json and bin/task-master.js accordingly.
- Add support for --title/-t and --description/-d flags in add-task command
- Fix validation for manual creation mode (title + description)
- Implement proper testing for both prompt and manual creation modes
- Update testing documentation with Commander.js testing best practices
- Add guidance on handling variable hoisting and module initialization issues
Changeset: brave-doors-open.md
- Fix expand-all command bugs that caused NaN errors with --all option and JSON formatting errors with research enabled
- Improve error handling to provide clear feedback when subtask generation fails
- Include task IDs and actionable suggestions in error messages
- Refactor for more reliable project root detection, particularly when running within integrated environments like Cursor IDE. Includes deriving root from script path and avoiding fallback to '/'.
- Enhance error handling in :
- Add detailed debug information (paths searched, CWD, etc.) to the error message when is not found in the provided project root.
- Improve clarity of error messages and potential solutions.
- Add verbose logging in to trace session object content and the finally resolved project root path, aiding in debugging path-related issues.
- Add default values for and to the example environment configuration.
- Add cancelled status to UI module for marking tasks cancelled without deletion
- Improve MCP server resource documentation with implementation examples
- Update architecture.mdc with detailed resource management info
- Add comprehensive resource handling guide to mcp.mdc
- Update changeset to reflect new features and documentation
- Mark task 23.6 as cancelled (MCP SDK integration no longer needed)
- Complete task 23.12 (structured logging system)
Slight refactor moving numTasks and outputPath to top with the other variables. Eliminates duplication, and keeps us from having to check path twice.
Resolves#65
Implemented LRU caching for the function to improve performance for repeated requests.
Key changes include:
- Added dependency.
- Introduced a reusable utility function in leveraging a .
- Refactored in to use the caching utility with a key based on task path, filter, and subtask flag.
- Modified to include the boolean flag in the final JSON response structure, nesting the original data under a key.
- Added function and corresponding MCP tool () for monitoring cache performance.
- Improved error handling in for cases where is not found.
This addresses the previous issue of the empty task list likely caused by stale cache entries and provides clear visibility into whether a response is served from the cache.
Relates to #23.9
This commit introduces a major refactoring of the MCP server implementation to prioritize direct function calls over CLI execution, enhancing performance and reliability. It also includes substantial updates to documentation for consistency and interlinking.
**MCP Server & Core Logic Refactoring:**
1. **Introduce Direct Function Wrappers ():**
* Created to house direct wrappers for core Task Master functions (imported from ).
* Implemented as the first wrapper, calling .
* Added utility within to centralize file location logic, removing duplication.
* Established the map for registering these wrappers.
2. **Enhance MCP Utilities ():**
* Added : A primary utility function to streamline MCP tool methods. It handles logging, argument processing (incl. project root normalization), calling the direct action function (e.g., ), processing results via , and formatting the final MCP response.
* Added : Standardizes processing of objects returned by direct function wrappers.
* Added : Filters sensitive/large fields (like , ) from responses sent to the MCP client.
* Added , , to support the new workflow.
* Refactored to use internally, simplifying its usage (though it's now primarily a fallback).
3. **Update MCP Tools (, ):**
* Refactored to use with , significantly simplifying the tool's method.
* Updated (initially) to use the improved (Note: further refactoring to use a direct wrapper for would follow the pattern).
**Documentation Enhancements:**
4. **Comprehensive Interlinking:** Added links across rule files (, , , , , ) to connect related guidelines, improving navigation.
5. **Standardize CLI Syntax ():** Removed legacy ℹ️ Initialized Perplexity client with OpenAI compatibility layer examples, reinforcing ℹ️ Initialized Perplexity client with OpenAI compatibility layer
_____ _ __ __ _
|_ _|_ _ ___| | __ | \/ | __ _ ___| |_ ___ _ __
| |/ _` / __| |/ / | |\/| |/ _` / __| __/ _ \ '__|
| | (_| \__ \ < | | | | (_| \__ \ || __/ |
|_|\__,_|___/_|\_\ |_| |_|\__,_|___/\__\___|_|
by https://x.com/eyaltoledano
╭────────────────────────────────────────────╮
│ │
│ Version: 0.9.30 Project: Task Master │
│ │
╰────────────────────────────────────────────╯
╭─────────────────────╮
│ │
│ Task Master CLI │
│ │
╰─────────────────────╯
╭───────────────────╮
│ Task Generation │
╰───────────────────╯
parse-prd --input=<file.txt> [--tasks=10] Generate tasks from a PRD document
generate Create individual task files from tasks…
╭───────────────────╮
│ Task Management │
╰───────────────────╯
list [--status=<status>] [--with-subtas… List all tasks with their status
set-status --id=<id> --status=<status> Update task status (done, pending, etc.)
update --from=<id> --prompt="<context>" Update tasks based on new requirements
add-task --prompt="<text>" [--dependencies=… Add a new task using AI
add-dependency --id=<id> --depends-on=<id> Add a dependency to a task
remove-dependency --id=<id> --depends-on=<id> Remove a dependency from a task
╭──────────────────────────╮
│ Task Analysis & Detail │
╰──────────────────────────╯
analyze-complexity [--research] [--threshold=5] Analyze tasks and generate expansion re…
complexity-report [--file=<path>] Display the complexity analysis report
expand --id=<id> [--num=5] [--research] [… Break down tasks into detailed subtasks
expand --all [--force] [--research] Expand all pending tasks with subtasks
clear-subtasks --id=<id> Remove subtasks from specified tasks
╭─────────────────────────────╮
│ Task Navigation & Viewing │
╰─────────────────────────────╯
next Show the next task to work on based on …
show <id> Display detailed information about a sp…
╭─────────────────────────╮
│ Dependency Management │
╰─────────────────────────╯
validate-dependenci… Identify invalid dependencies without f…
fix-dependencies Fix invalid dependencies automatically
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│ Environment Variables │
╰─────────────────────────╯
ANTHROPIC_API_KEY Your Anthropic API key Required
MODEL Claude model to use Default: claude-3-7-sonn…
MAX_TOKENS Maximum tokens for responses Default: 4000
TEMPERATURE Temperature for model responses Default: 0.7
PERPLEXITY_API_KEY Perplexity API key for research Optional
PERPLEXITY_MODEL Perplexity model to use Default: sonar-pro
DEBUG Enable debug logging Default: false
LOG_LEVEL Console output level (debug,info,warn,error) Default: info
DEFAULT_SUBTASKS Default number of subtasks to generate Default: 3
DEFAULT_PRIORITY Default task priority Default: medium
PROJECT_NAME Project name displayed in UI Default: Task Master
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by https://x.com/eyaltoledano
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│ │
│ Version: 0.9.30 Project: Task Master │
│ │
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│ │
│ Task Master CLI │
│ │
╰─────────────────────╯
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│ Task Generation │
╰───────────────────╯
parse-prd --input=<file.txt> [--tasks=10] Generate tasks from a PRD document
generate Create individual task files from tasks…
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│ Task Management │
╰───────────────────╯
list [--status=<status>] [--with-subtas… List all tasks with their status
set-status --id=<id> --status=<status> Update task status (done, pending, etc.)
update --from=<id> --prompt="<context>" Update tasks based on new requirements
add-task --prompt="<text>" [--dependencies=… Add a new task using AI
add-dependency --id=<id> --depends-on=<id> Add a dependency to a task
remove-dependency --id=<id> --depends-on=<id> Remove a dependency from a task
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│ Task Analysis & Detail │
╰──────────────────────────╯
analyze-complexity [--research] [--threshold=5] Analyze tasks and generate expansion re…
complexity-report [--file=<path>] Display the complexity analysis report
expand --id=<id> [--num=5] [--research] [… Break down tasks into detailed subtasks
expand --all [--force] [--research] Expand all pending tasks with subtasks
clear-subtasks --id=<id> Remove subtasks from specified tasks
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│ Task Navigation & Viewing │
╰─────────────────────────────╯
next Show the next task to work on based on …
show <id> Display detailed information about a sp…
╭─────────────────────────╮
│ Dependency Management │
╰─────────────────────────╯
validate-dependenci… Identify invalid dependencies without f…
fix-dependencies Fix invalid dependencies automatically
╭─────────────────────────╮
│ Environment Variables │
╰─────────────────────────╯
ANTHROPIC_API_KEY Your Anthropic API key Required
MODEL Claude model to use Default: claude-3-7-sonn…
MAX_TOKENS Maximum tokens for responses Default: 4000
TEMPERATURE Temperature for model responses Default: 0.7
PERPLEXITY_API_KEY Perplexity API key for research Optional
PERPLEXITY_MODEL Perplexity model to use Default: sonar-pro
DEBUG Enable debug logging Default: false
LOG_LEVEL Console output level (debug,info,warn,error) Default: info
DEFAULT_SUBTASKS Default number of subtasks to generate Default: 3
DEFAULT_PRIORITY Default task priority Default: medium
PROJECT_NAME Project name displayed in UI Default: Task Master as the primary CLI.
6. **Add MCP Architecture & Workflow Sections:** Added detailed sections in and explaining MCP server structure and the workflow for adding new MCP tool integrations using the direct function pattern.
7. **Clarify MCP Role:** Updated and to better explain the MCP server's role and its specific utilities.
Overall, this establishes a cleaner, more performant, and maintainable pattern for integrating Task Master functionality with the MCP server, supported by improved documentation.
Ensures that the 'details' field, which can be updated via 'update-subtask', is correctly rendered when viewing a specific subtask.
fix(test): Remove empty describe block causing Jest error
Removes a redundant block in that contained a hook but no tests.
chore: Add npm script
This commit fixes an issue with the dependency management system where
dependencies between subtasks of the same parent task were not being
handled correctly. Previously, when trying to add a dependency between
subtasks (e.g., making 23.8 depend on 23.13), the system incorrectly
interpreted it as a circular dependency of the parent task depending
on itself.
Changes:
- Modified add-dependency and remove-dependency commands to preserve
string format for subtask IDs containing dots instead of converting
them to integers
- Updated dependency detection logic to properly handle string-based
subtask IDs
- Added specific tests verifying both successful dependency chains
and circular dependency detection between subtasks of the same parent
The fix ensures proper task ordering for development workflows where
related subtasks must be completed in sequence (like establishing tests
before implementing a feature). It maintains backward compatibility with
existing task structures while correctly enforcing dependency chains
within subtask groups.
Tests:
- Added tests for valid dependency chains between subtasks of the same parent
- Added tests for circular dependency detection in subtask relationships
- Added specific test for the 23.8->23.13->23.10 subtask dependency chain
Resolves the issue where the suggested task development workflow couldn't
be properly enforced through the dependency management system.
- Add support for comma-separated subtask IDs in remove-subtask command
- Implement MCP configuration in project initialization
- Add package update notification system with version comparison
- Improve command documentation with boolean flag conventions
- Add comprehensive error handling for unknown options
- Update help text with better examples and formatting
- Implement proper validation for command inputs
- Add global error handling patterns with helpful user messages