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53 Commits

Author SHA1 Message Date
Ralph Khreish
22ce57b221 chore: add changeset 2025-05-16 22:23:12 +02:00
Ralph Khreish
8a23ba9b2c chore: remove cached function 2025-05-16 22:19:45 +02:00
Ralph Khreish
0393e0fb14 fix: remove cache from list-tasks and next-task mcp calls 2025-05-16 21:45:56 +02:00
Ralph Khreish
da317f2607 fix: error handling of task status settings (#523)
* fix: error handling of task status settings

* fix: update import path

---------

Co-authored-by: shenysun <shenysun@163.com>
2025-05-16 15:47:01 +02:00
Ralph Khreish
ed17cb0e0a feat: implement baseUrls on all ai providers(#521) 2025-05-16 15:34:29 +02:00
Ralph Khreish
e96734a6cc fix: updateTask enableSilentMode is not defined (#517)
- Closes #412
2025-05-15 22:56:52 +02:00
Ralph Khreish
17294ff259 Fix: Correct version resolution for banner and update check (#511)
* Fix: Correct version resolution for banner and update check

Resolves issues where the tool's version was displayed as 'unknown'.

- Modified 'displayBanner' in 'ui.js' and 'checkForUpdate' in 'commands.js' to read package.json relative to their own script locations using import.meta.url.
- This ensures the correct local version is identified for both the main banner display and the update notification mechanism.
- Restored a missing closing brace in 'ui.js' to fix a SyntaxError.

* fix: refactor and cleanup

* fix: chores and cleanup and testing

* chore: cleanup

* fix: add changeset

---------

Co-authored-by: Christer Soederlund <christer.soderlund@gmail.com>
2025-05-15 22:41:16 +02:00
Lars Bell
a96215a359 Update .taskmasterconfig (#435)
* Update .taskmasterconfig

Max tokens in 3.5 is lower.  With the current number get this error:

Service call failed for role fallback (Provider: anthropic, Model: claude-3-5-sonnet-20240620): max_tokens: 120000 > 8192, which is the maximum allowed number of output tokens for claude-3-5-sonnet-20240620

* Fix fallback model ID format and update maxTokens in Taskmaster configuration

---------

Co-authored-by: Ralph Khreish <35776126+Crunchyman-ralph@users.noreply.github.com>
2025-05-15 13:01:21 +02:00
Ralph Khreish
0a611843b5 fix: Inline comments in .env.example conflicting with env variable values (#501)
* fix: Update API key format in env.example to use quotes for consistency

* chore: add changelog
2025-05-15 01:32:49 +02:00
Kayvan Sylvan
a1f8d52474 chore: rename log level environment variable to TASKMASTER_LOG_LEVEL (#417)
* chore: rename log level environment variable to `TASKMASTER_LOG_LEVEL`

### CHANGES
- Update environment variable from `LOG_LEVEL` to `TASKMASTER_LOG_LEVEL`.
- Reflect change in documentation for clarity.
- Adjust variable name in script and test files.
- Maintain default log level as `info`.

* fix: add changeset

* chore: rename `LOG_LEVEL` to `TASKMASTER_LOG_LEVEL` for consistency

### CHANGES
- Update environment variable name to `TASKMASTER_LOG_LEVEL` in documentation.
- Reflect rename in configuration rules for clarity.
- Maintain consistency across project configuration settings.
2025-05-15 01:09:41 +02:00
Ralph Khreish
c47deeb869 Merge remote-tracking branch 'origin/main' into next 2025-05-15 00:29:54 +02:00
github-actions[bot]
dd90c9cb5d Version Packages 2025-05-15 00:29:11 +02:00
Ralph Khreish
c7042845d6 chore: improve CI to better accomodate pre-releases for testing (#507) 2025-05-15 00:28:06 +02:00
Joe Danziger
efce37469b Fix duplicate output on CLI help screen (#496)
* remove duplication

* add changeset

* fix formatting
2025-05-14 13:12:15 +02:00
Joe Danziger
4117f71c18 Fix CLI --force flag on parse-prd command 2025-05-13 22:06:09 +02:00
Ralph Khreish
09d839fff5 Merge pull request #405 from eyaltoledano/changeset-release/main
Version Packages
2025-05-03 20:46:10 +02:00
github-actions[bot]
90068348d3 Version Packages 2025-05-03 18:13:24 +00:00
Ralph Khreish
02e347d2d7 Merge pull request #404 from eyaltoledano/next
Release 0.13.2
2025-05-03 20:13:05 +02:00
Ralph Khreish
0527c363e3 Merge remote-tracking branch 'origin/main' into next 2025-05-03 19:32:07 +02:00
Ralph Khreish
735135efe9 chore: allow github actions to commit 2025-05-03 19:24:00 +02:00
Ralph Khreish
4fee667a05 chore: improve pre-release workflow 2025-05-03 19:07:42 +02:00
Ralph Khreish
01963af2cb Fix: issues with 0.13.0 not working (#402)
* Exit prerelease mode and version packages

* hotfix: move production package to "dependencies"

* Enter prerelease mode and version packages

* Enter prerelease mode and version packages

* chore: cleanup

* chore: improve pre.json and add pre-release workflow

* chore: fix package.json

* chore: cleanup
2025-05-03 18:55:18 +02:00
Ralph Khreish
0633895f3b Version Packages (#401)
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
2025-05-03 17:02:05 +02:00
github-actions[bot]
10442c1119 Version Packages 2025-05-03 14:56:40 +00:00
Ralph Khreish
734a4fdcfc hotfix: move production package to "dependencies" (#399) 2025-05-03 16:56:17 +02:00
Ralph Khreish
8dace2186c Merge pull request #390 from eyaltoledano/changeset-release/main
Version Packages
2025-05-03 10:17:11 +02:00
github-actions[bot]
095e373843 Version Packages 2025-05-03 08:14:02 +00:00
Ralph Khreish
0bc9bac392 Merge pull request #369 from eyaltoledano/next
Release 0.13.0
2025-05-03 10:13:43 +02:00
Eyal Toledano
0a45f4329c Merge pull request #389 from eyaltoledano/v013-final
fix(config): restores sonnet 3.7 as default main role.
2025-05-03 02:59:44 -04:00
Eyal Toledano
c4b2f7e514 fix(config): restores sonnet 3.7 as default main role. 2025-05-03 02:28:40 -04:00
Eyal Toledano
9684beafc3 Merge pull request #388 from eyaltoledano/readme-init-typo
chore: readme typos
2025-05-03 02:19:49 -04:00
Eyal Toledano
302b916045 chore: readme typos 2025-05-03 02:17:52 -04:00
Eyal Toledano
e7f18f65b9 Merge pull request #387 from eyaltoledano/v0.13-touchups
fix: improve error handling, test options, and model configuration

Final polish for v0.13.x
2025-05-03 02:12:40 -04:00
Eyal Toledano
655c7c225a chore: prettier 2025-05-03 02:09:35 -04:00
Eyal Toledano
e1218b3747 fix(next): adjusts mcp tool response to correctly return the next task/subtask. Also adds nextSteps to the next task response. 2025-05-03 02:06:50 -04:00
Eyal Toledano
ffa621a37c chore: removes tasks json backup that was temporarily created. 2025-05-03 01:33:03 -04:00
Eyal Toledano
cd32fd9edf fix(add/remove-dependency): dependency mcp tools were failing due to hard-coded tasks path in generate task files. 2025-05-03 01:31:16 -04:00
Eyal Toledano
590e4bd66d chore: restores 3.7 sonnet as the main role. 2025-05-03 00:35:24 -04:00
Eyal Toledano
70d3f2f103 chore(init): No longer ships readme with task-master init (commented out for now). No longer looking for task-master-mcp, instead checked for task-master-ai - this should prevent the init sequence from needlessly adding another mcp server with task-master-mcp to the mpc.json which a ton of people probably ran into. 2025-05-03 00:33:21 -04:00
Eyal Toledano
424aae10ed fix(parse-prd): suggested fix for mcpLog was incorrect. reverting to my previously working code. 2025-05-03 00:10:58 -04:00
Eyal Toledano
a48d1f13e2 chore: fixes parse prd to show loading indicator in cli. 2025-05-03 00:04:45 -04:00
Eyal Toledano
25ca1a45a0 fix: improve error handling, test options, and model configuration
- Enhance error validation in parse-prd.js and update-tasks.js
- Fix bug where mcpLog was incorrectly passed as logWrapper
- Improve error messages and response formatting
- Add --skip-verification flag to E2E tests
- Update MCP server config that ships with init to match new API key structure
- Fix task force/append handling in parse-prd command
- Increase column width in update-tasks display
2025-05-02 23:11:39 -04:00
Ralph Khreish
2e17437da3 fix: displayBanner logging when silentMode is active (#385) 2025-05-03 01:06:29 +02:00
Eyal Toledano
1f44ea5299 Merge pull request #378 from eyaltoledano/wsl-windows-fix
WSL + Windows Fix
2025-05-02 17:51:54 -04:00
Eyal Toledano
d63964a10e refactor: Improve update-subtask, consolidate utils, update config
This commit introduces several improvements and refactorings across MCP tools, core logic, and configuration.

**Major Changes:**

1.  **Refactor updateSubtaskById:**
    - Switched from generateTextService to generateObjectService for structured AI responses, using a Zod schema (subtaskSchema) for validation.
    - Revised prompts to have the AI generate relevant content based on user request and context (parent/sibling tasks), while explicitly preventing AI from handling timestamp/tag formatting.
    - Implemented **local timestamp generation (new Date().toISOString()) and formatting** (using <info added on ...> tags) within the function *after* receiving the AI response. This ensures reliable and correctly formatted details are appended.
    - Corrected logic to append only the locally formatted, AI-generated content block to the existing subtask.details.

2.  **Consolidate MCP Utilities:**
    - Moved/consolidated the withNormalizedProjectRoot HOF into mcp-server/src/tools/utils.js.
    - Updated MCP tools (like update-subtask.js) to import withNormalizedProjectRoot from the new location.

3.  **Refactor Project Initialization:**
    - Deleted the redundant mcp-server/src/core/direct-functions/initialize-project-direct.js file.
    - Updated mcp-server/src/core/task-master-core.js to import initializeProjectDirect from its correct location (./direct-functions/initialize-project.js).

**Other Changes:**

-   Updated .taskmasterconfig fallback model to claude-3-7-sonnet-20250219.
-   Clarified model cost representation in the models tool description (taskmaster.mdc and mcp-server/src/tools/models.js).
2025-05-02 17:48:59 -04:00
Ralph Khreish
33559e368c chore: more cleanup 2025-05-02 23:33:34 +02:00
Ralph Khreish
9f86306766 chore: cleanup tools to stop using rootFolder and remove unused imports 2025-05-02 21:50:35 +02:00
Ralph Khreish
8f8a3dc45d fix: add rest of tools that need wrapper 2025-05-02 19:56:13 +02:00
Ralph Khreish
d18351dc38 fix: apply to all tools withNormalizedProjectRoot to fix projectRoot issues for linux and windows 2025-05-02 18:32:12 +02:00
Eyal Toledano
9d437f8594 refactor(mcp): apply withNormalizedProjectRoot HOF to update tool
Problem: The  MCP tool previously handled project root acquisition and path resolution within its  method, leading to potential inconsistencies and repetition.

Solution: Refactored the  tool () to utilize the new  Higher-Order Function (HOF) from .

Specific Changes:
- Imported  HOF.
- Updated the Zod schema for the  parameter to be optional, as the HOF handles deriving it from the session if not provided.
- Wrapped the entire  function body with the  HOF.
- Removed the manual call to  from within the  function body.
- Destructured the  from the  object received by the wrapped  function, ensuring it's the normalized path provided by the HOF.
- Used the normalized  variable when calling  and when passing arguments to .

This change standardizes project root handling for the  tool, simplifies its  method, and ensures consistent path normalization. This serves as the pattern for refactoring other MCP tools.
2025-05-02 02:14:32 -04:00
Eyal Toledano
ad89253e31 refactor(mcp): introduce withNormalizedProjectRoot HOF for path normalization
Added HOF to mcp tools utils to normalize projectRoot from args/session. Refactored get-task tool to use HOF. Updated relevant documentation.
2025-05-02 01:54:24 -04:00
Eyal Toledano
70c5097553 Merge pull request #377 from eyaltoledano/fix-update-tasks-parsing
fix(update-tasks): Improve AI response parsing for 'update' command
2025-05-02 00:42:35 -04:00
Eyal Toledano
cd4d8e335f MCP ENV fallback to read API keys in .env if not found in mcp.json
Problem:

- Task Master model configuration wasn't properly checking for API keys in the project's .env file when running through MCP
- The isApiKeySet function was only checking session.env and process.env but not inspecting the .env file directly
-This caused incorrect API key status reporting in MCP tools even when keys were properly set in .env
- All AI commands (core functions, direct functions, mcp tools) have been fixed to ensure they pass `projectRoot` from the mcp tool up to the direct function and through to the core function such that it can use that root to access the user's .env file in the correct location (instead of trying to find it in the server's process.env which is useless).

Should have a big impact across the board for all users who were having API related issues
2025-05-01 23:52:17 -04:00
115 changed files with 2507 additions and 1735 deletions

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@@ -0,0 +1,5 @@
---
'task-master-ai': patch
---
Resolve all issues related to MCP

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@@ -1,5 +0,0 @@
---
'task-master-ai': patch
---
- Add support for Google Gemini models via Vercel AI SDK integration.

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@@ -1,5 +0,0 @@
---
'task-master-ai': patch
---
Add xAI provider and Grok models support

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@@ -1,8 +0,0 @@
---
'task-master-ai': minor
---
feat(expand): Enhance `expand` and `expand-all` commands
- Integrate `task-complexity-report.json` to automatically determine the number of subtasks and use tailored prompts for expansion based on prior analysis. You no longer need to try copy-pasting the recommended prompt. If it exists, it will use it for you. You can just run `task-master update --id=[id of task] --research` and it will use that prompt automatically. No extra prompt needed.
- Change default behavior to *append* new subtasks to existing ones. Use the `--force` flag to clear existing subtasks before expanding. This is helpful if you need to add more subtasks to a task but you want to do it by the batch from a given prompt. Use force if you want to start fresh with a task's subtasks.

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@@ -1,7 +0,0 @@
---
'task-master-ai': minor
---
Adds support for the OpenRouter AI provider. Users can now configure models available through OpenRouter (requiring an `OPENROUTER_API_KEY`) via the `task-master models` command, granting access to a wide range of additional LLMs.
- IMPORTANT FYI ABOUT OPENROUTER: Taskmaster relies on AI SDK, which itself relies on tool use. It looks like **free** models sometimes do not include tool use. For example, Gemini 2.5 pro (free) failed via OpenRouter (no tool use) but worked fine on the paid version of the model. Custom model support for Open Router is considered experimental and likely will not be further improved for some time.

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@@ -1,13 +0,0 @@
---
'task-master-ai': patch
---
Improve and adjust `init` command for robustness and updated dependencies.
- **Update Initialization Dependencies:** Ensure newly initialized projects (`task-master init`) include all required AI SDK dependencies (`@ai-sdk/*`, `ai`, provider wrappers) in their `package.json` for out-of-the-box AI feature compatibility. Remove unnecessary dependencies (e.g., `uuid`) from the init template.
- **Silence `npm install` during `init`:** Prevent `npm install` output from interfering with non-interactive/MCP initialization by suppressing its stdio in silent mode.
- **Improve Conditional Model Setup:** Reliably skip interactive `models --setup` during non-interactive `init` runs (e.g., `init -y` or MCP) by checking `isSilentMode()` instead of passing flags.
- **Refactor `init.js`:** Remove internal `isInteractive` flag logic.
- **Update `init` Instructions:** Tweak the "Getting Started" text displayed after `init`.
- **Fix MCP Server Launch:** Update `.cursor/mcp.json` template to use `node ./mcp-server/server.js` instead of `npx task-master-mcp`.
- **Update Default Model:** Change the default main model in the `.taskmasterconfig` template.

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@@ -0,0 +1,9 @@
---
'task-master-ai': patch
---
Fix CLI --force flag for parse-prd command
Previously, the --force flag was not respected when running `parse-prd`, causing the command to prompt for confirmation or fail even when --force was provided. This patch ensures that the flag is correctly passed and handled, allowing users to overwrite existing tasks.json files as intended.
- Fixes #477

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@@ -0,0 +1,5 @@
---
'task-master-ai': minor
---
.taskmasterconfig now supports a baseUrl field per model role (main, research, fallback), allowing endpoint overrides for any provider.

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@@ -1,5 +0,0 @@
---
'task-master-ai': patch
---
Fixes an issue with add-task which did not use the manually defined properties and still needlessly hit the AI endpoint.

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@@ -0,0 +1,5 @@
---
'task-master-ai': patch
---
Task Master no longer tells you to update when you're already up to date

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@@ -1,5 +0,0 @@
---
'task-master-ai': minor
---
Adds model management and new configuration file .taskmasterconfig which houses the models used for main, research and fallback. Adds models command and setter flags. Adds a --setup flag with an interactive setup. We should be calling this during init. Shows a table of active and available models when models is called without flags. Includes SWE scores and token costs, which are manually entered into the supported_models.json, the new place where models are defined for support. Config-manager.js is the core module responsible for managing the new config."

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@@ -1,5 +0,0 @@
---
'task-master-ai': patch
---
Fixes an issue that prevented remove-subtask with comma separated tasks/subtasks from being deleted (only the first ID was being deleted). Closes #140

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@@ -1,10 +0,0 @@
---
'task-master-ai': patch
---
Improves next command to be subtask-aware
- The logic for determining the "next task" (findNextTask function, used by task-master next and the next_task MCP tool) has been significantly improved. Previously, it only considered top-level tasks, making its recommendation less useful when a parent task containing subtasks was already marked 'in-progress'.
- The updated logic now prioritizes finding the next available subtask within any 'in-progress' parent task, considering subtask dependencies and priority.
- If no suitable subtask is found within active parent tasks, it falls back to recommending the next eligible top-level task based on the original criteria (status, dependencies, priority).
This change makes the next command much more relevant and helpful during the implementation phase of complex tasks.

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@@ -1,11 +0,0 @@
---
'task-master-ai': minor
---
Adds custom model ID support for Ollama and OpenRouter providers.
- Adds the `--ollama` and `--openrouter` flags to `task-master models --set-<role>` command to set models for those providers outside of the support models list.
- Updated `task-master models --setup` interactive mode with options to explicitly enter custom Ollama or OpenRouter model IDs.
- Implemented live validation against OpenRouter API (`/api/v1/models`) when setting a custom OpenRouter model ID (via flag or setup).
- Refined logic to prioritize explicit provider flags/choices over internal model list lookups in case of ID conflicts.
- Added warnings when setting custom/unvalidated models.
- We obviously don't recommend going with a custom, unproven model. If you do and find performance is good, please let us know so we can add it to the list of supported models.

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@@ -1,5 +0,0 @@
---
'task-master-ai': patch
---
Add `--status` flag to `show` command to filter displayed subtasks.

12
.changeset/pre.json Normal file
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@@ -0,0 +1,12 @@
{
"mode": "exit",
"tag": "rc",
"initialVersions": {
"task-master-ai": "0.13.2"
},
"changesets": [
"beige-doodles-type",
"red-oranges-attend",
"red-suns-wash"
]
}

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@@ -1,7 +0,0 @@
---
'task-master-ai': minor
---
Integrate OpenAI as a new AI provider.
- Enhance `models` command/tool to display API key status.
- Implement model-specific `maxTokens` override based on `supported-models.json` to save you if you use an incorrect max token value.

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---
'task-master-ai': patch
---
Fix ERR_MODULE_NOT_FOUND when trying to run MCP Server

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@@ -2,4 +2,4 @@
'task-master-ai': patch
---
Add integration for Roo Code
Add src directory to exports

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@@ -0,0 +1,5 @@
---
'task-master-ai': patch
---
Fix the error handling of task status settings

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@@ -0,0 +1,7 @@
---
'task-master-ai': patch
---
Remove caching layer from MCP direct functions for task listing, next task, and complexity report
- Fixes issues users where having where they were getting stale data

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---
'task-master-ai': patch
---
Fix for issue #409 LOG_LEVEL Pydantic validation error

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@@ -0,0 +1,7 @@
---
'task-master-ai': patch
---
Fix initial .env.example to work out of the box
- Closes #419

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@@ -0,0 +1,5 @@
---
'task-master-ai': patch
---
Fix default fallback model and maxTokens in Taskmaster initialization

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@@ -1,9 +0,0 @@
---
'task-master-ai': minor
---
Tweaks Perplexity AI calls for research mode to max out input tokens and get day-fresh information
- Forces temp at 0.1 for highly deterministic output, no variations
- Adds a system prompt to further improve the output
- Correctly uses the maximum input tokens (8,719, used 8,700) for perplexity
- Specificies to use a high degree of research across the web
- Specifies to use information that is as fresh as today; this support stuff like capturing brand new announcements like new GPT models and being able to query for those in research. 🔥

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---
'task-master-ai': patch
---
Fix bug when updating tasks on the MCP server (#412)

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@@ -1,5 +0,0 @@
---
'task-master-ai': patch
---
Fix --task to --num-tasks in ui + related tests - issue #324

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@@ -1,9 +0,0 @@
---
'task-master-ai': patch
---
Adds a 'models' CLI and MCP command to get the current model configuration, available models, and gives the ability to set main/research/fallback models."
- In the CLI, `task-master models` shows the current models config. Using the `--setup` flag launches an interactive set up that allows you to easily select the models you want to use for each of the three roles. Use `q` during the interactive setup to cancel the setup.
- In the MCP, responses are simplified in RESTful format (instead of the full CLI output). The agent can use the `models` tool with different arguments, including `listAvailableModels` to get available models. Run without arguments, it will return the current configuration. Arguments are available to set the model for each of the three roles. This allows you to manage Taskmaster AI providers and models directly from either the CLI or MCP or both.
- Updated the CLI help menu when you run `task-master` to include missing commands and .taskmasterconfig information.
- Adds `--research` flag to `add-task` so you can hit up Perplexity right from the add-task flow, rather than having to add a task and then update it.

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---
'task-master-ai': patch
---
Fix duplicate output on CLI help screen
- Prevent the Task Master CLI from printing the help screen more than once when using `-h` or `--help`.
- Removed redundant manual event handlers and guards for help output; now only the Commander `.helpInformation` override is used for custom help.
- Simplified logic so that help is only shown once for both "no arguments" and help flag flows.
- Ensures a clean, branded help experience with no repeated content.
- Fixes #339

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@@ -65,8 +65,9 @@ alwaysApply: false
- **[`mcp-server/`](mdc:mcp-server/): MCP Server Integration**
- **Purpose**: Provides MCP interface using FastMCP.
- **Responsibilities** (See also: [`mcp.mdc`](mdc:.cursor/rules/mcp.mdc)):
- Registers tools (`mcp-server/src/tools/*.js`).
- Tool `execute` methods call **direct function wrappers** (`mcp-server/src/core/direct-functions/*.js`).
- Registers tools (`mcp-server/src/tools/*.js`). Tool `execute` methods **should be wrapped** with the `withNormalizedProjectRoot` HOF (from `tools/utils.js`) to ensure consistent path handling.
- The HOF provides a normalized `args.projectRoot` to the `execute` method.
- Tool `execute` methods call **direct function wrappers** (`mcp-server/src/core/direct-functions/*.js`), passing the normalized `projectRoot` and other args.
- Direct functions use path utilities (`mcp-server/src/core/utils/`) to resolve paths based on `projectRoot` from session.
- Direct functions implement silent mode, logger wrappers, and call core logic functions from `scripts/modules/`.
- Manages MCP caching and response formatting.

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@@ -116,7 +116,7 @@ Taskmaster configuration is managed through two main mechanisms:
* For MCP/Cursor integration, configure these keys in the `env` section of `.cursor/mcp.json`.
* Available keys/variables: See `assets/env.example` or the Configuration section in the command reference (previously linked to `taskmaster.mdc`).
**Important:** Non-API key settings (like model selections, `MAX_TOKENS`, `LOG_LEVEL`) are **no longer configured via environment variables**. Use the `task-master models` command (or `--setup` for interactive configuration) or the `models` MCP tool.
**Important:** Non-API key settings (like model selections, `MAX_TOKENS`, `TASKMASTER_LOG_LEVEL`) are **no longer configured via environment variables**. Use the `task-master models` command (or `--setup` for interactive configuration) or the `models` MCP tool.
**If AI commands FAIL in MCP** verify that the API key for the selected provider is present in the `env` section of `.cursor/mcp.json`.
**If AI commands FAIL in CLI** verify that the API key for the selected provider is present in the `.env` file in the root of the project.

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@@ -188,58 +188,70 @@ execute: async (args, { log, session }) => {
- **args**: Validated parameters.
- **context**: Contains `{ log, session }` from FastMCP. (Removed `reportProgress`).
### Standard Tool Execution Pattern
### Standard Tool Execution Pattern with Path Normalization (Updated)
The `execute` method within each MCP tool (in `mcp-server/src/tools/*.js`) should follow this standard pattern:
To ensure consistent handling of project paths across different client environments (Windows, macOS, Linux, WSL) and input formats (e.g., `file:///...`, URI encoded paths), all MCP tool `execute` methods that require access to the project root **MUST** be wrapped with the `withNormalizedProjectRoot` Higher-Order Function (HOF).
1. **Log Entry**: Log the start of the tool execution with relevant arguments.
2. **Get Project Root**: Use the `getProjectRootFromSession(session, log)` utility (from [`tools/utils.js`](mdc:mcp-server/src/tools/utils.js)) to extract the project root path from the client session. Fall back to `args.projectRoot` if the session doesn't provide a root.
3. **Call Direct Function**: Invoke the corresponding `*Direct` function wrapper (e.g., `listTasksDirect` from [`task-master-core.js`](mdc:mcp-server/src/core/task-master-core.js)), passing an updated `args` object that includes the resolved `projectRoot`. Crucially, the third argument (context) passed to the direct function should **only include `{ log, session }`**. **Do NOT pass `reportProgress`**.
```javascript
// Example call (applies to both AI and non-AI direct functions now)
const result = await someDirectFunction(
{ ...args, projectRoot }, // Args including resolved root
log, // MCP logger
{ session } // Context containing session
);
```
4. **Handle Result**: Receive the result object (`{ success, data/error, fromCache }`) from the `*Direct` function.
5. **Format Response**: Pass this result object to the `handleApiResult` utility (from [`tools/utils.js`](mdc:mcp-server/src/tools/utils.js)) for standardized MCP response formatting and error handling.
6. **Return**: Return the formatted response object provided by `handleApiResult`.
This HOF, defined in [`mcp-server/src/tools/utils.js`](mdc:mcp-server/src/tools/utils.js), performs the following before calling the tool's core logic:
1. **Determines the Raw Root:** It prioritizes `args.projectRoot` if provided by the client, otherwise it calls `getRawProjectRootFromSession` to extract the path from the session.
2. **Normalizes the Path:** It uses the `normalizeProjectRoot` helper to decode URIs, strip `file://` prefixes, fix potential Windows drive letter prefixes (e.g., `/C:/`), convert backslashes (`\`) to forward slashes (`/`), and resolve the path to an absolute path suitable for the server's OS.
3. **Injects Normalized Path:** It updates the `args` object by replacing the original `projectRoot` (or adding it) with the normalized, absolute path.
4. **Executes Original Logic:** It calls the original `execute` function body, passing the updated `args` object.
**Implementation Example:**
```javascript
// Example execute method structure for a tool calling an AI-based direct function
import { getProjectRootFromSession, handleApiResult, createErrorResponse } from './utils.js';
import { someAIDirectFunction } from '../core/task-master-core.js';
// In mcp-server/src/tools/your-tool.js
import {
handleApiResult,
createErrorResponse,
withNormalizedProjectRoot // <<< Import HOF
} from './utils.js';
import { yourDirectFunction } from '../core/task-master-core.js';
import { findTasksJsonPath } from '../core/utils/path-utils.js'; // If needed
// ... inside server.addTool({...})
execute: async (args, { log, session }) => { // Note: reportProgress is omitted here
try {
log.info(`Starting AI tool execution with args: ${JSON.stringify(args)}`);
export function registerYourTool(server) {
server.addTool({
name: "your_tool",
description: "...".
parameters: z.object({
// ... other parameters ...
projectRoot: z.string().optional().describe('...') // projectRoot is optional here, HOF handles fallback
}),
// Wrap the entire execute function
execute: withNormalizedProjectRoot(async (args, { log, session }) => {
// args.projectRoot is now guaranteed to be normalized and absolute
const { /* other args */, projectRoot } = args;
// 1. Get Project Root
let rootFolder = getProjectRootFromSession(session, log);
if (!rootFolder && args.projectRoot) { // Fallback if needed
rootFolder = args.projectRoot;
log.info(`Using project root from args as fallback: ${rootFolder}`);
}
try {
log.info(`Executing your_tool with normalized root: ${projectRoot}`);
// 2. Call AI-Based Direct Function (passing only log and session in context)
const result = await someAIDirectFunction({
...args,
projectRoot: rootFolder // Ensure projectRoot is explicitly passed
}, log, { session }); // Pass session here, NO reportProgress
// Resolve paths using the normalized projectRoot
let tasksPath = findTasksJsonPath({ projectRoot, file: args.file }, log);
// 3. Handle and Format Response
return handleApiResult(result, log);
// Call direct function, passing normalized projectRoot if needed by direct func
const result = await yourDirectFunction(
{
/* other args */,
projectRoot // Pass it if direct function needs it
},
log,
{ session }
);
} catch (error) {
log.error(`Error during AI tool execution: ${error.message}`);
return createErrorResponse(error.message);
}
return handleApiResult(result, log);
} catch (error) {
log.error(`Error in your_tool: ${error.message}`);
return createErrorResponse(error.message);
}
}) // End HOF wrap
});
}
```
By using this HOF, the core logic within the `execute` method and any downstream functions (like `findTasksJsonPath` or direct functions) can reliably expect `args.projectRoot` to be a clean, absolute path suitable for the server environment.
### Project Initialization Tool
The `initialize_project` tool allows integrated clients like Cursor to set up a new Task Master project:

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@@ -523,14 +523,24 @@ Integrating Task Master commands with the MCP server (for use by tools like Curs
4. **Create MCP Tool (`mcp-server/src/tools/`)**:
- Create a new file (e.g., `your-command.js`) using **kebab-case**.
- Import `zod`, `handleApiResult`, `createErrorResponse`, **`getProjectRootFromSession`**, and your `yourCommandDirect` function.
- Import `zod`, `handleApiResult`, **`withNormalizedProjectRoot` HOF**, and your `yourCommandDirect` function.
- Implement `registerYourCommandTool(server)`.
- Define the tool `name` using **snake_case** (e.g., `your_command`).
- Define the `parameters` using `zod`. **Crucially, define `projectRoot` as optional**: `projectRoot: z.string().optional().describe(...)`. Include `file` if applicable.
- Implement the standard `async execute(args, { log, reportProgress, session })` method:
- Get `rootFolder` using `getProjectRootFromSession` (with fallback to `args.projectRoot`).
- Call `yourCommandDirect({ ...args, projectRoot: rootFolder }, log)`.
- Pass the result to `handleApiResult(result, log, 'Error Message')`.
- **Define parameters**: Make `projectRoot` optional (`z.string().optional().describe(...)`) as the HOF handles fallback.
- Consider if this operation should run in the background using `AsyncOperationManager`.
- Implement the standard `execute` method **wrapped with `withNormalizedProjectRoot`**:
```javascript
execute: withNormalizedProjectRoot(async (args, { log, session }) => {
// args.projectRoot is now normalized
const { projectRoot /*, other args */ } = args;
// ... resolve tasks path if needed using normalized projectRoot ...
const result = await yourCommandDirect(
{ /* other args */, projectRoot /* if needed by direct func */ },
log,
{ session }
);
return handleApiResult(result, log);
})
```
5. **Register Tool**: Import and call `registerYourCommandTool` in `mcp-server/src/tools/index.js`.
@@ -618,8 +628,3 @@ When implementing project initialization commands:
});
}
```
}
});
}
```

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@@ -79,6 +79,7 @@ This document provides a detailed reference for interacting with Taskmaster, cov
* **Usage (CLI):** Run without flags to view current configuration and available models. Use set flags to update specific roles. Use `--setup` for guided configuration, including custom models. To set a custom model via flags, use `--set-<role>=<model_id>` along with either `--ollama` or `--openrouter`.
* **Notes:** Configuration is stored in `.taskmasterconfig` in the project root. This command/tool modifies that file. Use `listAvailableModels` or `task-master models` to see internally supported models. OpenRouter custom models are validated against their live API. Ollama custom models are not validated live.
* **API note:** API keys for selected AI providers (based on their model) need to exist in the mcp.json file to be accessible in MCP context. The API keys must be present in the local .env file for the CLI to be able to read them.
* **Model costs:** The costs in supported models are expressed in dollars. An input/output value of 3 is $3.00. A value of 0.8 is $0.80.
* **Warning:** DO NOT MANUALLY EDIT THE .taskmasterconfig FILE. Use the included commands either in the MCP or CLI format as needed. Always prioritize MCP tools when available and use the CLI as a fallback.
---

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@@ -428,36 +428,69 @@ Taskmaster configuration (excluding API keys) is primarily managed through the `
## MCP Server Tool Utilities (`mcp-server/src/tools/utils.js`)
- **Purpose**: These utilities specifically support the MCP server tools ([`mcp-server/src/tools/*.js`](mdc:mcp-server/src/tools/*.js)), handling MCP communication patterns, response formatting, caching integration, and the CLI fallback mechanism.
- **Refer to [`mcp.mdc`](mdc:.cursor/rules/mcp.mdc)** for detailed usage patterns within the MCP tool `execute` methods and direct function wrappers.
These utilities specifically support the implementation and execution of MCP tools.
- **`getProjectRootFromSession(session, log)`**:
- ✅ **DO**: Call this utility **within the MCP tool's `execute` method** to extract the project root path from the `session` object.
- Decodes the `file://` URI and handles potential errors.
- Returns the project path string or `null`.
- The returned path should then be passed in the `args` object when calling the corresponding `*Direct` function (e.g., `yourDirectFunction({ ...args, projectRoot: rootFolder }, log)`).
- **`normalizeProjectRoot(rawPath, log)`**:
- **Purpose**: Takes a raw project root path (potentially URI encoded, with `file://` prefix, Windows slashes) and returns a normalized, absolute path suitable for the server's OS.
- **Logic**: Decodes URI, strips `file://`, handles Windows drive prefix (`/C:/`), replaces `\` with `/`, uses `path.resolve()`.
- **Usage**: Used internally by `withNormalizedProjectRoot` HOF.
- **`getRawProjectRootFromSession(session, log)`**:
- **Purpose**: Extracts the *raw* project root URI string from the session object (`session.roots[0].uri` or `session.roots.roots[0].uri`) without performing normalization.
- **Usage**: Used internally by `withNormalizedProjectRoot` HOF as a fallback if `args.projectRoot` isn't provided.
- **`withNormalizedProjectRoot(executeFn)`**:
- **Purpose**: A Higher-Order Function (HOF) designed to wrap a tool's `execute` method.
- **Logic**:
1. Determines the raw project root (from `args.projectRoot` or `getRawProjectRootFromSession`).
2. Normalizes the raw path using `normalizeProjectRoot`.
3. Injects the normalized, absolute path back into the `args` object as `args.projectRoot`.
4. Calls the original `executeFn` with the updated `args`.
- **Usage**: Should wrap the `execute` function of *every* MCP tool that needs a reliable, normalized project root path.
- **Example**:
```javascript
// In mcp-server/src/tools/your-tool.js
import { withNormalizedProjectRoot } from './utils.js';
export function registerYourTool(server) {
server.addTool({
// ... name, description, parameters ...
execute: withNormalizedProjectRoot(async (args, context) => {
// args.projectRoot is now normalized here
const { projectRoot /*, other args */ } = args;
// ... rest of tool logic using normalized projectRoot ...
})
});
}
```
- **`handleApiResult(result, log, errorPrefix, processFunction)`**:
- ✅ **DO**: Call this from the MCP tool's `execute` method after receiving the result from the `*Direct` function wrapper.
- Takes the standard `{ success, data/error, fromCache }` object.
- Formats the standard MCP success or error response, including the `fromCache` flag.
- Uses `processMCPResponseData` by default to filter response data.
- **`executeTaskMasterCommand(command, log, args, projectRootRaw)`**:
- Executes a Task Master CLI command as a child process.
- Handles fallback between global `task-master` and local `node scripts/dev.js`.
- ❌ **DON'T**: Use this as the primary method for MCP tools. Prefer direct function calls via `*Direct` wrappers.
- **`processMCPResponseData(taskOrData, fieldsToRemove)`**:
- Filters task data (e.g., removing `details`, `testStrategy`) before sending to the MCP client. Called by `handleApiResult`.
- **Purpose**: Standardizes the formatting of responses returned by direct functions (`{ success, data/error, fromCache }`) into the MCP response format.
- **Usage**: Call this at the end of the tool's `execute` method, passing the result from the direct function call.
- **`createContentResponse(content)` / `createErrorResponse(errorMessage)`**:
- Formatters for standard MCP success/error responses.
- **Purpose**: Helper functions to create the basic MCP response structure for success or error messages.
- **Usage**: Used internally by `handleApiResult` and potentially directly for simple responses.
- **`createLogWrapper(log)`**:
- **Purpose**: Creates a logger object wrapper with standard methods (`info`, `warn`, `error`, `debug`, `success`) mapping to the passed MCP `log` object's methods. Ensures compatibility when passing loggers to core functions.
- **Usage**: Used within direct functions before passing the `log` object down to core logic that expects the standard method names.
- **`getCachedOrExecute({ cacheKey, actionFn, log })`**:
- ✅ **DO**: Use this utility *inside direct function wrappers* to implement caching.
- Checks cache, executes `actionFn` on miss, stores result.
- Returns standard `{ success, data/error, fromCache: boolean }`.
- **Purpose**: Utility for implementing caching within direct functions. Checks cache for `cacheKey`; if miss, executes `actionFn`, caches successful result, and returns.
- **Usage**: Wrap the core logic execution within a direct function call.
- **`processMCPResponseData(taskOrData, fieldsToRemove)`**:
- **Purpose**: Utility to filter potentially sensitive or large fields (like `details`, `testStrategy`) from task objects before sending the response back via MCP.
- **Usage**: Passed as the default `processFunction` to `handleApiResult`.
- **`getProjectRootFromSession(session, log)`**:
- **Purpose**: Legacy function to extract *and normalize* the project root from the session. Replaced by the HOF pattern but potentially still used.
- **Recommendation**: Prefer using the `withNormalizedProjectRoot` HOF in tools instead of calling this directly.
- **`executeTaskMasterCommand(...)`**:
- **Purpose**: Executes `task-master` CLI command as a fallback.
- **Recommendation**: Deprecated for most uses; prefer direct function calls.
## Export Organization

62
.github/workflows/pre-release.yml vendored Normal file
View File

@@ -0,0 +1,62 @@
name: Pre-Release (RC)
on:
workflow_dispatch: # Allows manual triggering from GitHub UI/API
concurrency: pre-release-${{ github.ref }}
jobs:
rc:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
with:
fetch-depth: 0
- uses: actions/setup-node@v4
with:
node-version: 20
cache: 'npm'
- name: Cache node_modules
uses: actions/cache@v4
with:
path: |
node_modules
*/*/node_modules
key: ${{ runner.os }}-node-${{ hashFiles('**/package-lock.json') }}
restore-keys: |
${{ runner.os }}-node-
- name: Install dependencies
run: npm ci
timeout-minutes: 2
- name: Enter RC mode
run: |
npx changeset pre exit || true
npx changeset pre enter rc
- name: Version RC packages
run: npx changeset version
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
NPM_TOKEN: ${{ secrets.NPM_TOKEN }}
- name: Create Release Candidate Pull Request or Publish Release Candidate to npm
uses: changesets/action@v1
with:
publish: npm run release
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
NPM_TOKEN: ${{ secrets.NPM_TOKEN }}
- name: Exit RC mode
run: npx changeset pre exit
- name: Commit & Push changes
uses: actions-js/push@master
with:
github_token: ${{ secrets.GITHUB_TOKEN }}
branch: ${{ github.ref }}
message: 'chore: rc version bump'

View File

@@ -33,6 +33,9 @@ jobs:
run: npm ci
timeout-minutes: 2
- name: Exit pre-release mode (safety check)
run: npx changeset pre exit || true
- name: Create Release Pull Request or Publish to npm
uses: changesets/action@v1
with:

3
.gitignore vendored
View File

@@ -61,3 +61,6 @@ dist
*.debug
init-debug.log
dev-debug.log
# NPMRC
.npmrc

View File

@@ -14,7 +14,7 @@
},
"fallback": {
"provider": "anthropic",
"modelId": "claude-3-5-sonnet-20241022",
"modelId": "claude-3-7-sonnet-20250219",
"maxTokens": 120000,
"temperature": 0.2
}

View File

@@ -1,5 +1,77 @@
# task-master-ai
## 0.13.1
### Patch Changes
- [#399](https://github.com/eyaltoledano/claude-task-master/pull/399) [`734a4fd`](https://github.com/eyaltoledano/claude-task-master/commit/734a4fdcfc89c2e089255618cf940561ad13a3c8) Thanks [@Crunchyman-ralph](https://github.com/Crunchyman-ralph)! - Fix ERR_MODULE_NOT_FOUND when trying to run MCP Server
## 0.13.0
### Minor Changes
- [#240](https://github.com/eyaltoledano/claude-task-master/pull/240) [`ef782ff`](https://github.com/eyaltoledano/claude-task-master/commit/ef782ff5bd4ceb3ed0dc9ea82087aae5f79ac933) Thanks [@eyaltoledano](https://github.com/eyaltoledano)! - feat(expand): Enhance `expand` and `expand-all` commands
- Integrate `task-complexity-report.json` to automatically determine the number of subtasks and use tailored prompts for expansion based on prior analysis. You no longer need to try copy-pasting the recommended prompt. If it exists, it will use it for you. You can just run `task-master update --id=[id of task] --research` and it will use that prompt automatically. No extra prompt needed.
- Change default behavior to _append_ new subtasks to existing ones. Use the `--force` flag to clear existing subtasks before expanding. This is helpful if you need to add more subtasks to a task but you want to do it by the batch from a given prompt. Use force if you want to start fresh with a task's subtasks.
- [#240](https://github.com/eyaltoledano/claude-task-master/pull/240) [`87d97bb`](https://github.com/eyaltoledano/claude-task-master/commit/87d97bba00d84e905756d46ef96b2d5b984e0f38) Thanks [@eyaltoledano](https://github.com/eyaltoledano)! - Adds support for the OpenRouter AI provider. Users can now configure models available through OpenRouter (requiring an `OPENROUTER_API_KEY`) via the `task-master models` command, granting access to a wide range of additional LLMs. - IMPORTANT FYI ABOUT OPENROUTER: Taskmaster relies on AI SDK, which itself relies on tool use. It looks like **free** models sometimes do not include tool use. For example, Gemini 2.5 pro (free) failed via OpenRouter (no tool use) but worked fine on the paid version of the model. Custom model support for Open Router is considered experimental and likely will not be further improved for some time.
- [#240](https://github.com/eyaltoledano/claude-task-master/pull/240) [`1ab836f`](https://github.com/eyaltoledano/claude-task-master/commit/1ab836f191cb8969153593a9a0bd47fc9aa4a831) Thanks [@eyaltoledano](https://github.com/eyaltoledano)! - Adds model management and new configuration file .taskmasterconfig which houses the models used for main, research and fallback. Adds models command and setter flags. Adds a --setup flag with an interactive setup. We should be calling this during init. Shows a table of active and available models when models is called without flags. Includes SWE scores and token costs, which are manually entered into the supported_models.json, the new place where models are defined for support. Config-manager.js is the core module responsible for managing the new config."
- [#240](https://github.com/eyaltoledano/claude-task-master/pull/240) [`c8722b0`](https://github.com/eyaltoledano/claude-task-master/commit/c8722b0a7a443a73b95d1bcd4a0b68e0fce2a1cd) Thanks [@eyaltoledano](https://github.com/eyaltoledano)! - Adds custom model ID support for Ollama and OpenRouter providers.
- Adds the `--ollama` and `--openrouter` flags to `task-master models --set-<role>` command to set models for those providers outside of the support models list.
- Updated `task-master models --setup` interactive mode with options to explicitly enter custom Ollama or OpenRouter model IDs.
- Implemented live validation against OpenRouter API (`/api/v1/models`) when setting a custom OpenRouter model ID (via flag or setup).
- Refined logic to prioritize explicit provider flags/choices over internal model list lookups in case of ID conflicts.
- Added warnings when setting custom/unvalidated models.
- We obviously don't recommend going with a custom, unproven model. If you do and find performance is good, please let us know so we can add it to the list of supported models.
- [#240](https://github.com/eyaltoledano/claude-task-master/pull/240) [`2517bc1`](https://github.com/eyaltoledano/claude-task-master/commit/2517bc112c9a497110f3286ca4bfb4130c9addcb) Thanks [@eyaltoledano](https://github.com/eyaltoledano)! - Integrate OpenAI as a new AI provider. - Enhance `models` command/tool to display API key status. - Implement model-specific `maxTokens` override based on `supported-models.json` to save you if you use an incorrect max token value.
- [#240](https://github.com/eyaltoledano/claude-task-master/pull/240) [`9a48278`](https://github.com/eyaltoledano/claude-task-master/commit/9a482789f7894f57f655fb8d30ba68542bd0df63) Thanks [@eyaltoledano](https://github.com/eyaltoledano)! - Tweaks Perplexity AI calls for research mode to max out input tokens and get day-fresh information - Forces temp at 0.1 for highly deterministic output, no variations - Adds a system prompt to further improve the output - Correctly uses the maximum input tokens (8,719, used 8,700) for perplexity - Specificies to use a high degree of research across the web - Specifies to use information that is as fresh as today; this support stuff like capturing brand new announcements like new GPT models and being able to query for those in research. 🔥
### Patch Changes
- [#240](https://github.com/eyaltoledano/claude-task-master/pull/240) [`842eaf7`](https://github.com/eyaltoledano/claude-task-master/commit/842eaf722498ddf7307800b4cdcef4ac4fd7e5b0) Thanks [@eyaltoledano](https://github.com/eyaltoledano)! - - Add support for Google Gemini models via Vercel AI SDK integration.
- [#240](https://github.com/eyaltoledano/claude-task-master/pull/240) [`ed79d4f`](https://github.com/eyaltoledano/claude-task-master/commit/ed79d4f4735dfab4124fa189214c0bd5e23a6860) Thanks [@eyaltoledano](https://github.com/eyaltoledano)! - Add xAI provider and Grok models support
- [#378](https://github.com/eyaltoledano/claude-task-master/pull/378) [`ad89253`](https://github.com/eyaltoledano/claude-task-master/commit/ad89253e313a395637aa48b9f92cc39b1ef94ad8) Thanks [@eyaltoledano](https://github.com/eyaltoledano)! - Better support for file paths on Windows, Linux & WSL.
- Standardizes handling of different path formats (URI encoded, Windows, Linux, WSL).
- Ensures tools receive a clean, absolute path suitable for the server OS.
- Simplifies tool implementation by centralizing normalization logic.
- [#285](https://github.com/eyaltoledano/claude-task-master/pull/285) [`2acba94`](https://github.com/eyaltoledano/claude-task-master/commit/2acba945c0afee9460d8af18814c87e80f747e9f) Thanks [@neno-is-ooo](https://github.com/neno-is-ooo)! - Add integration for Roo Code
- [#378](https://github.com/eyaltoledano/claude-task-master/pull/378) [`d63964a`](https://github.com/eyaltoledano/claude-task-master/commit/d63964a10eed9be17856757661ff817ad6bacfdc) Thanks [@eyaltoledano](https://github.com/eyaltoledano)! - Improved update-subtask - Now it has context about the parent task details - It also has context about the subtask before it and the subtask after it (if they exist) - Not passing all subtasks to stay token efficient
- [#240](https://github.com/eyaltoledano/claude-task-master/pull/240) [`5f504fa`](https://github.com/eyaltoledano/claude-task-master/commit/5f504fafb8bdaa0043c2d20dee8bbb8ec2040d85) Thanks [@eyaltoledano](https://github.com/eyaltoledano)! - Improve and adjust `init` command for robustness and updated dependencies.
- **Update Initialization Dependencies:** Ensure newly initialized projects (`task-master init`) include all required AI SDK dependencies (`@ai-sdk/*`, `ai`, provider wrappers) in their `package.json` for out-of-the-box AI feature compatibility. Remove unnecessary dependencies (e.g., `uuid`) from the init template.
- **Silence `npm install` during `init`:** Prevent `npm install` output from interfering with non-interactive/MCP initialization by suppressing its stdio in silent mode.
- **Improve Conditional Model Setup:** Reliably skip interactive `models --setup` during non-interactive `init` runs (e.g., `init -y` or MCP) by checking `isSilentMode()` instead of passing flags.
- **Refactor `init.js`:** Remove internal `isInteractive` flag logic.
- **Update `init` Instructions:** Tweak the "Getting Started" text displayed after `init`.
- **Fix MCP Server Launch:** Update `.cursor/mcp.json` template to use `node ./mcp-server/server.js` instead of `npx task-master-mcp`.
- **Update Default Model:** Change the default main model in the `.taskmasterconfig` template.
- [#240](https://github.com/eyaltoledano/claude-task-master/pull/240) [`96aeeff`](https://github.com/eyaltoledano/claude-task-master/commit/96aeeffc195372722c6a07370540e235bfe0e4d8) Thanks [@eyaltoledano](https://github.com/eyaltoledano)! - Fixes an issue with add-task which did not use the manually defined properties and still needlessly hit the AI endpoint.
- [#240](https://github.com/eyaltoledano/claude-task-master/pull/240) [`5aea93d`](https://github.com/eyaltoledano/claude-task-master/commit/5aea93d4c0490c242d7d7042a210611977848e0a) Thanks [@eyaltoledano](https://github.com/eyaltoledano)! - Fixes an issue that prevented remove-subtask with comma separated tasks/subtasks from being deleted (only the first ID was being deleted). Closes #140
- [#240](https://github.com/eyaltoledano/claude-task-master/pull/240) [`66ac9ab`](https://github.com/eyaltoledano/claude-task-master/commit/66ac9ab9f66d006da518d6e8a3244e708af2764d) Thanks [@eyaltoledano](https://github.com/eyaltoledano)! - Improves next command to be subtask-aware - The logic for determining the "next task" (findNextTask function, used by task-master next and the next_task MCP tool) has been significantly improved. Previously, it only considered top-level tasks, making its recommendation less useful when a parent task containing subtasks was already marked 'in-progress'. - The updated logic now prioritizes finding the next available subtask within any 'in-progress' parent task, considering subtask dependencies and priority. - If no suitable subtask is found within active parent tasks, it falls back to recommending the next eligible top-level task based on the original criteria (status, dependencies, priority).
This change makes the next command much more relevant and helpful during the implementation phase of complex tasks.
- [#240](https://github.com/eyaltoledano/claude-task-master/pull/240) [`ca7b045`](https://github.com/eyaltoledano/claude-task-master/commit/ca7b0457f1dc65fd9484e92527d9fd6d69db758d) Thanks [@eyaltoledano](https://github.com/eyaltoledano)! - Add `--status` flag to `show` command to filter displayed subtasks.
- [#328](https://github.com/eyaltoledano/claude-task-master/pull/328) [`5a2371b`](https://github.com/eyaltoledano/claude-task-master/commit/5a2371b7cc0c76f5e95d43921c1e8cc8081bf14e) Thanks [@knoxgraeme](https://github.com/knoxgraeme)! - Fix --task to --num-tasks in ui + related tests - issue #324
- [#240](https://github.com/eyaltoledano/claude-task-master/pull/240) [`6cb213e`](https://github.com/eyaltoledano/claude-task-master/commit/6cb213ebbd51116ae0688e35b575d09443d17c3b) Thanks [@eyaltoledano](https://github.com/eyaltoledano)! - Adds a 'models' CLI and MCP command to get the current model configuration, available models, and gives the ability to set main/research/fallback models." - In the CLI, `task-master models` shows the current models config. Using the `--setup` flag launches an interactive set up that allows you to easily select the models you want to use for each of the three roles. Use `q` during the interactive setup to cancel the setup. - In the MCP, responses are simplified in RESTful format (instead of the full CLI output). The agent can use the `models` tool with different arguments, including `listAvailableModels` to get available models. Run without arguments, it will return the current configuration. Arguments are available to set the model for each of the three roles. This allows you to manage Taskmaster AI providers and models directly from either the CLI or MCP or both. - Updated the CLI help menu when you run `task-master` to include missing commands and .taskmasterconfig information. - Adds `--research` flag to `add-task` so you can hit up Perplexity right from the add-task flow, rather than having to add a task and then update it.
## 0.12.1
### Patch Changes

View File

@@ -47,7 +47,7 @@ npm install task-master-ai
task-master init
# If installed locally
npx task-master-init
npx task-master init
```
This will prompt you for project details and set up a new project with the necessary files and structure.

View File

@@ -14,8 +14,8 @@
},
"fallback": {
"provider": "anthropic",
"modelId": "claude-3.5-sonnet-20240620",
"maxTokens": 120000,
"modelId": "claude-3-5-sonnet-20240620",
"maxTokens": 8192,
"temperature": 0.1
}
},

View File

@@ -198,7 +198,7 @@ alwaysApply: true
- **MAX_TOKENS** (Default: `"4000"`): Maximum tokens for responses (Example: `MAX_TOKENS=8000`)
- **TEMPERATURE** (Default: `"0.7"`): Temperature for model responses (Example: `TEMPERATURE=0.5`)
- **DEBUG** (Default: `"false"`): Enable debug logging (Example: `DEBUG=true`)
- **LOG_LEVEL** (Default: `"info"`): Console output level (Example: `LOG_LEVEL=debug`)
- **TASKMASTER_LOG_LEVEL** (Default: `"info"`): Console output level (Example: `TASKMASTER_LOG_LEVEL=debug`)
- **DEFAULT_SUBTASKS** (Default: `"3"`): Default subtask count (Example: `DEFAULT_SUBTASKS=5`)
- **DEFAULT_PRIORITY** (Default: `"medium"`): Default priority (Example: `DEFAULT_PRIORITY=high`)
- **PROJECT_NAME** (Default: `"MCP SaaS MVP"`): Project name in metadata (Example: `PROJECT_NAME=My Awesome Project`)

View File

@@ -1,8 +1,8 @@
# API Keys (Required to enable respective provider)
ANTHROPIC_API_KEY=your_anthropic_api_key_here # Required: Format: sk-ant-api03-...
PERPLEXITY_API_KEY=your_perplexity_api_key_here # Optional: Format: pplx-...
OPENAI_API_KEY=your_openai_api_key_here # Optional, for OpenAI/OpenRouter models. Format: sk-proj-...
GOOGLE_API_KEY=your_google_api_key_here # Optional, for Google Gemini models.
MISTRAL_API_KEY=your_mistral_key_here # Optional, for Mistral AI models.
XAI_API_KEY=YOUR_XAI_KEY_HERE # Optional, for xAI AI models.
AZURE_OPENAI_API_KEY=your_azure_key_here # Optional, for Azure OpenAI models (requires endpoint in .taskmasterconfig).
ANTHROPIC_API_KEY="your_anthropic_api_key_here" # Required: Format: sk-ant-api03-...
PERPLEXITY_API_KEY="your_perplexity_api_key_here" # Optional: Format: pplx-...
OPENAI_API_KEY="your_openai_api_key_here" # Optional, for OpenAI/OpenRouter models. Format: sk-proj-...
GOOGLE_API_KEY="your_google_api_key_here" # Optional, for Google Gemini models.
MISTRAL_API_KEY="your_mistral_key_here" # Optional, for Mistral AI models.
XAI_API_KEY="YOUR_XAI_KEY_HERE" # Optional, for xAI AI models.
AZURE_OPENAI_API_KEY="your_azure_key_here" # Optional, for Azure OpenAI models (requires endpoint in .taskmasterconfig).

View File

@@ -31,7 +31,7 @@ Task Master configuration is now managed through two primary methods:
- Create a `.env` file in your project root for CLI usage.
- See `assets/env.example` for required key names.
**Important:** Settings like `MODEL`, `MAX_TOKENS`, `TEMPERATURE`, `LOG_LEVEL`, etc., are **no longer set via `.env`**. Use `task-master models --setup` instead.
**Important:** Settings like `MODEL`, `MAX_TOKENS`, `TEMPERATURE`, `TASKMASTER_LOG_LEVEL`, etc., are **no longer set via `.env`**. Use `task-master models --setup` instead.
## How It Works
@@ -42,7 +42,7 @@ Task Master configuration is now managed through two primary methods:
- Tasks can have `subtasks` for more detailed implementation steps.
- Dependencies are displayed with status indicators (✅ for completed, ⏱️ for pending) to easily track progress.
2. **CLI Commands**
2. **CLI Commands**
You can run the commands via:
```bash
@@ -200,7 +200,7 @@ Notes:
## Logging
The script supports different logging levels controlled by the `LOG_LEVEL` environment variable:
The script supports different logging levels controlled by the `TASKMASTER_LOG_LEVEL` environment variable:
- `debug`: Detailed information, typically useful for troubleshooting
- `info`: Confirmation that things are working as expected (default)

View File

@@ -15,13 +15,15 @@ Taskmaster uses two primary methods for configuration:
"provider": "anthropic",
"modelId": "claude-3-7-sonnet-20250219",
"maxTokens": 64000,
"temperature": 0.2
"temperature": 0.2,
"baseUrl": "https://api.anthropic.com/v1"
},
"research": {
"provider": "perplexity",
"modelId": "sonar-pro",
"maxTokens": 8700,
"temperature": 0.1
"temperature": 0.1,
"baseUrl": "https://api.perplexity.ai/v1"
},
"fallback": {
"provider": "anthropic",
@@ -56,8 +58,9 @@ Taskmaster uses two primary methods for configuration:
- `AZURE_OPENAI_API_KEY`: Your Azure OpenAI API key (also requires `AZURE_OPENAI_ENDPOINT`).
- `OPENROUTER_API_KEY`: Your OpenRouter API key.
- `XAI_API_KEY`: Your X-AI API key.
- **Optional Endpoint Overrides (in .taskmasterconfig):**
- `AZURE_OPENAI_ENDPOINT`: Required if using Azure OpenAI key.
- **Optional Endpoint Overrides:**
- **Per-role `baseUrl` in `.taskmasterconfig`:** You can add a `baseUrl` property to any model role (`main`, `research`, `fallback`) to override the default API endpoint for that provider. If omitted, the provider's standard endpoint is used.
- `AZURE_OPENAI_ENDPOINT`: Required if using Azure OpenAI key (can also be set as `baseUrl` for the Azure model role).
- `OLLAMA_BASE_URL`: Override the default Ollama API URL (Default: `http://localhost:11434/api`).
**Important:** Settings like model ID selections (`main`, `research`, `fallback`), `maxTokens`, `temperature`, `logLevel`, `defaultSubtasks`, `defaultPriority`, and `projectName` are **managed in `.taskmasterconfig`**, not environment variables.

View File

@@ -89,7 +89,7 @@ Initialize a new project:
task-master init
# If installed locally
npx task-master-init
npx task-master init
```
This will prompt you for project details and set up a new project with the necessary files and structure.

View File

@@ -8,7 +8,6 @@ import {
enableSilentMode,
disableSilentMode
} from '../../../../scripts/modules/utils.js';
import { getCachedOrExecute } from '../../tools/utils.js';
/**
* Direct function wrapper for displaying the complexity report with error handling and caching.
@@ -86,30 +85,20 @@ export async function complexityReportDirect(args, log) {
// Use the caching utility
try {
const result = await getCachedOrExecute({
cacheKey,
actionFn: coreActionFn,
log
});
log.info(
`complexityReportDirect completed. From cache: ${result.fromCache}`
);
return result; // Returns { success, data/error, fromCache }
const result = await coreActionFn();
log.info('complexityReportDirect completed');
return result;
} catch (error) {
// Catch unexpected errors from getCachedOrExecute itself
// Ensure silent mode is disabled
disableSilentMode();
log.error(
`Unexpected error during getCachedOrExecute for complexityReport: ${error.message}`
);
log.error(`Unexpected error during complexityReport: ${error.message}`);
return {
success: false,
error: {
code: 'UNEXPECTED_ERROR',
message: error.message
},
fromCache: false
}
};
}
} catch (error) {

View File

@@ -4,7 +4,6 @@ import {
disableSilentMode
// isSilentMode // Not used directly here
} from '../../../../scripts/modules/utils.js';
import { getProjectRootFromSession } from '../../tools/utils.js'; // Adjust path if necessary
import os from 'os'; // Import os module for home directory check
/**
@@ -16,60 +15,32 @@ import os from 'os'; // Import os module for home directory check
* @returns {Promise<{success: boolean, data?: any, error?: {code: string, message: string}}>} - Standard result object.
*/
export async function initializeProjectDirect(args, log, context = {}) {
const { session } = context;
const { session } = context; // Keep session if core logic needs it
const homeDir = os.homedir();
let targetDirectory = null;
log.info(
`CONTEXT received in direct function: ${context ? JSON.stringify(Object.keys(context)) : 'MISSING or Falsy'}`
);
log.info(
`SESSION extracted in direct function: ${session ? 'Exists' : 'MISSING or Falsy'}`
);
log.info(`Args received in direct function: ${JSON.stringify(args)}`);
// --- Determine Target Directory ---
// 1. Prioritize projectRoot passed directly in args
// Ensure it's not null, '/', or the home directory
if (
args.projectRoot &&
args.projectRoot !== '/' &&
args.projectRoot !== homeDir
) {
log.info(`Using projectRoot directly from args: ${args.projectRoot}`);
targetDirectory = args.projectRoot;
} else {
// 2. If args.projectRoot is missing or invalid, THEN try session (as a fallback)
log.warn(
`args.projectRoot ('${args.projectRoot}') is missing or invalid. Attempting to derive from session.`
);
const sessionDerivedPath = getProjectRootFromSession(session, log);
// Validate the session-derived path as well
if (
sessionDerivedPath &&
sessionDerivedPath !== '/' &&
sessionDerivedPath !== homeDir
) {
log.info(
`Using project root derived from session: ${sessionDerivedPath}`
);
targetDirectory = sessionDerivedPath;
} else {
log.error(
`Could not determine a valid project root. args.projectRoot='${args.projectRoot}', sessionDerivedPath='${sessionDerivedPath}'`
);
}
}
// TRUST the projectRoot passed from the tool layer via args
// The HOF in the tool layer already normalized and validated it came from a reliable source (args or session)
const targetDirectory = args.projectRoot;
// 3. Validate the final targetDirectory
if (!targetDirectory) {
// This error now covers cases where neither args.projectRoot nor session provided a valid path
// --- Validate the targetDirectory (basic sanity checks) ---
if (
!targetDirectory ||
typeof targetDirectory !== 'string' || // Ensure it's a string
targetDirectory === '/' ||
targetDirectory === homeDir
) {
log.error(
`Invalid target directory received from tool layer: '${targetDirectory}'`
);
return {
success: false,
error: {
code: 'INVALID_TARGET_DIRECTORY',
message: `Cannot initialize project: Could not determine a valid target directory. Please ensure a workspace/folder is open or specify projectRoot.`,
details: `Attempted args.projectRoot: ${args.projectRoot}`
message: `Cannot initialize project: Invalid target directory '${targetDirectory}' received. Please ensure a valid workspace/folder is open or specified.`,
details: `Received args.projectRoot: ${args.projectRoot}` // Show what was received
},
fromCache: false
};
@@ -86,11 +57,12 @@ export async function initializeProjectDirect(args, log, context = {}) {
log.info(
`Temporarily changing CWD to ${targetDirectory} for initialization.`
);
process.chdir(targetDirectory); // Change CWD to the *validated* targetDirectory
process.chdir(targetDirectory); // Change CWD to the HOF-provided root
enableSilentMode(); // Enable silent mode BEFORE calling the core function
enableSilentMode();
try {
// Always force yes: true when called via MCP to avoid interactive prompts
// Construct options ONLY from the relevant flags in args
// The core initializeProject operates in the current CWD, which we just set
const options = {
aliases: args.addAliases,
skipInstall: args.skipInstall,
@@ -100,12 +72,11 @@ export async function initializeProjectDirect(args, log, context = {}) {
log.info(`Initializing project with options: ${JSON.stringify(options)}`);
const result = await initializeProject(options); // Call core logic
// Format success result for handleApiResult
resultData = {
message: 'Project initialized successfully.',
next_step:
'Now that the project is initialized, the next step is to create the tasks by parsing a PRD. This will create the tasks folder and the initial task files (tasks folder will be created when parse-prd is run). The parse-prd tool will require a prd.txt file as input (typically found in the project root directory, scripts/ directory). You can create a prd.txt file by asking the user about their idea, and then using the scripts/example_prd.txt file as a template to genrate a prd.txt file in scripts/. You may skip all of this if the user already has a prd.txt file. You can THEN use the parse-prd tool to create the tasks. So: step 1 after initialization is to create a prd.txt file in scripts/prd.txt or confirm the user already has one. Step 2 is to use the parse-prd tool to create the tasks. Do not bother looking for tasks after initialization, just use the parse-prd tool to create the tasks after creating a prd.txt from which to parse the tasks. You do NOT need to reinitialize the project to parse-prd.',
...result // Include details returned by initializeProject
...result
};
success = true;
log.info(
@@ -120,12 +91,11 @@ export async function initializeProjectDirect(args, log, context = {}) {
};
success = false;
} finally {
disableSilentMode(); // ALWAYS disable silent mode in finally
disableSilentMode();
log.info(`Restoring original CWD: ${originalCwd}`);
process.chdir(originalCwd); // Change back to original CWD
process.chdir(originalCwd);
}
// Return in format expected by handleApiResult
if (success) {
return { success: true, data: resultData, fromCache: false };
} else {

View File

@@ -4,7 +4,6 @@
*/
import { listTasks } from '../../../../scripts/modules/task-manager.js';
import { getCachedOrExecute } from '../../tools/utils.js';
import {
enableSilentMode,
disableSilentMode
@@ -36,7 +35,6 @@ export async function listTasksDirect(args, log) {
// Use the explicit tasksJsonPath for cache key
const statusFilter = status || 'all';
const withSubtasksFilter = withSubtasks || false;
const cacheKey = `listTasks:${tasksJsonPath}:${statusFilter}:${withSubtasksFilter}`;
// Define the action function to be executed on cache miss
const coreListTasksAction = async () => {
@@ -88,25 +86,19 @@ export async function listTasksDirect(args, log) {
}
};
// Use the caching utility
try {
const result = await getCachedOrExecute({
cacheKey,
actionFn: coreListTasksAction,
log
});
log.info(`listTasksDirect completed. From cache: ${result.fromCache}`);
return result; // Returns { success, data/error, fromCache }
const result = await coreListTasksAction();
log.info('listTasksDirect completed');
return result;
} catch (error) {
// Catch unexpected errors from getCachedOrExecute itself (though unlikely)
log.error(
`Unexpected error during getCachedOrExecute for listTasks: ${error.message}`
);
log.error(`Unexpected error during listTasks: ${error.message}`);
console.error(error.stack);
return {
success: false,
error: { code: 'CACHE_UTIL_ERROR', message: error.message },
fromCache: false
error: {
code: 'UNEXPECTED_ERROR',
message: error.message
}
};
}
}

View File

@@ -5,7 +5,6 @@
import { findNextTask } from '../../../../scripts/modules/task-manager.js';
import { readJSON } from '../../../../scripts/modules/utils.js';
import { getCachedOrExecute } from '../../tools/utils.js';
import {
enableSilentMode,
disableSilentMode
@@ -35,9 +34,6 @@ export async function nextTaskDirect(args, log) {
};
}
// Generate cache key using the provided task path
const cacheKey = `nextTask:${tasksJsonPath}`;
// Define the action function to be executed on cache miss
const coreNextTaskAction = async () => {
try {
@@ -71,24 +67,34 @@ export async function nextTaskDirect(args, log) {
data: {
message:
'No eligible next task found. All tasks are either completed or have unsatisfied dependencies',
nextTask: null,
allTasks: data.tasks
nextTask: null
}
};
}
// Check if it's a subtask
const isSubtask =
typeof nextTask.id === 'string' && nextTask.id.includes('.');
const taskOrSubtask = isSubtask ? 'subtask' : 'task';
const additionalAdvice = isSubtask
? 'Subtasks can be updated with timestamped details as you implement them. This is useful for tracking progress, marking milestones and insights (of successful or successive falures in attempting to implement the subtask). Research can be used when updating the subtask to collect up-to-date information, and can be helpful to solve a repeating problem the agent is unable to solve. It is a good idea to get-task the parent task to collect the overall context of the task, and to get-task the subtask to collect the specific details of the subtask.'
: 'Tasks can be updated to reflect a change in the direction of the task, or to reformulate the task per your prompt. Research can be used when updating the task to collect up-to-date information. It is best to update subtasks as you work on them, and to update the task for more high-level changes that may affect pending subtasks or the general direction of the task.';
// Restore normal logging
disableSilentMode();
// Return the next task data with the full tasks array for reference
log.info(
`Successfully found next task ${nextTask.id}: ${nextTask.title}`
`Successfully found next task ${nextTask.id}: ${nextTask.title}. Is subtask: ${isSubtask}`
);
return {
success: true,
data: {
nextTask,
allTasks: data.tasks
isSubtask,
nextSteps: `When ready to work on the ${taskOrSubtask}, use set-status to set the status to "in progress" ${additionalAdvice}`
}
};
} catch (error) {
@@ -108,18 +114,11 @@ export async function nextTaskDirect(args, log) {
// Use the caching utility
try {
const result = await getCachedOrExecute({
cacheKey,
actionFn: coreNextTaskAction,
log
});
log.info(`nextTaskDirect completed. From cache: ${result.fromCache}`);
return result; // Returns { success, data/error, fromCache }
const result = await coreNextTaskAction();
log.info(`nextTaskDirect completed.`);
return result;
} catch (error) {
// Catch unexpected errors from getCachedOrExecute itself
log.error(
`Unexpected error during getCachedOrExecute for nextTask: ${error.message}`
);
log.error(`Unexpected error during nextTask: ${error.message}`);
return {
success: false,
error: {

View File

@@ -34,18 +34,17 @@ export async function parsePRDDirect(args, log, context = {}) {
projectRoot
} = args;
// Create the standard logger wrapper
const logWrapper = createLogWrapper(log);
// --- Input Validation and Path Resolution ---
if (!projectRoot || !path.isAbsolute(projectRoot)) {
logWrapper.error(
'parsePRDDirect requires an absolute projectRoot argument.'
);
if (!projectRoot) {
logWrapper.error('parsePRDDirect requires a projectRoot argument.');
return {
success: false,
error: {
code: 'MISSING_ARGUMENT',
message: 'projectRoot is required and must be absolute.'
message: 'projectRoot is required.'
}
};
}
@@ -57,7 +56,7 @@ export async function parsePRDDirect(args, log, context = {}) {
};
}
// Resolve input and output paths relative to projectRoot if they aren't absolute
// Resolve input and output paths relative to projectRoot
const inputPath = path.resolve(projectRoot, inputArg);
const outputPath = outputArg
? path.resolve(projectRoot, outputArg)
@@ -101,7 +100,7 @@ export async function parsePRDDirect(args, log, context = {}) {
// Ensure positive number
numTasks = getDefaultNumTasks(projectRoot); // Fallback to default if parsing fails or invalid
logWrapper.warn(
`Invalid numTasks value: ${numTasksArg}. Using default: 10`
`Invalid numTasks value: ${numTasksArg}. Using default: ${numTasks}`
);
}
}
@@ -147,7 +146,6 @@ export async function parsePRDDirect(args, log, context = {}) {
message: `Successfully parsed PRD and generated ${result.tasks.length} tasks.`,
outputPath: outputPath,
taskCount: result.tasks.length
// Optionally include tasks if needed by client: tasks: result.tasks
}
};
} else {

View File

@@ -3,151 +3,95 @@
* Direct function implementation for showing task details
*/
import { findTaskById } from '../../../../scripts/modules/utils.js';
import { readJSON } from '../../../../scripts/modules/utils.js';
import { getCachedOrExecute } from '../../tools/utils.js';
import {
enableSilentMode,
disableSilentMode
} from '../../../../scripts/modules/utils.js';
import { findTaskById, readJSON } from '../../../../scripts/modules/utils.js';
import { findTasksJsonPath } from '../utils/path-utils.js';
/**
* Direct function wrapper for showing task details with error handling and caching.
* Direct function wrapper for getting task details.
*
* @param {Object} args - Command arguments
* @param {string} args.tasksJsonPath - Explicit path to the tasks.json file.
* @param {string} args.id - The ID of the task or subtask to show.
* @param {Object} args - Command arguments.
* @param {string} args.id - Task ID to show.
* @param {string} [args.file] - Optional path to the tasks file (passed to findTasksJsonPath).
* @param {string} [args.status] - Optional status to filter subtasks by.
* @param {Object} log - Logger object
* @returns {Promise<Object>} - Task details result { success: boolean, data?: any, error?: { code: string, message: string }, fromCache: boolean }
* @param {string} args.projectRoot - Absolute path to the project root directory (already normalized by tool).
* @param {Object} log - Logger object.
* @param {Object} context - Context object containing session data.
* @returns {Promise<Object>} - Result object with success status and data/error information.
*/
export async function showTaskDirect(args, log) {
// Destructure expected args
const { tasksJsonPath, id, status } = args;
// Destructure session from context if needed later, otherwise ignore
// const { session } = context;
// Destructure projectRoot and other args. projectRoot is assumed normalized.
const { id, file, status, projectRoot } = args;
if (!tasksJsonPath) {
log.error('showTaskDirect called without tasksJsonPath');
log.info(
`Showing task direct function. ID: ${id}, File: ${file}, Status Filter: ${status}, ProjectRoot: ${projectRoot}`
);
// --- Path Resolution using the passed (already normalized) projectRoot ---
let tasksJsonPath;
try {
// Use the projectRoot passed directly from args
tasksJsonPath = findTasksJsonPath(
{ projectRoot: projectRoot, file: file },
log
);
log.info(`Resolved tasks path: ${tasksJsonPath}`);
} catch (error) {
log.error(`Error finding tasks.json: ${error.message}`);
return {
success: false,
error: {
code: 'MISSING_ARGUMENT',
message: 'tasksJsonPath is required'
},
fromCache: false
code: 'TASKS_FILE_NOT_FOUND',
message: `Failed to find tasks.json: ${error.message}`
}
};
}
// --- End Path Resolution ---
// Validate task ID
const taskId = id;
if (!taskId) {
log.error('Task ID is required');
return {
success: false,
error: {
code: 'INPUT_VALIDATION_ERROR',
message: 'Task ID is required'
},
fromCache: false
};
}
// Generate cache key using the provided task path, ID, and status filter
const cacheKey = `showTask:${tasksJsonPath}:${taskId}:${status || 'all'}`;
// Define the action function to be executed on cache miss
const coreShowTaskAction = async () => {
try {
// Enable silent mode to prevent console logs from interfering with JSON response
enableSilentMode();
log.info(
`Retrieving task details for ID: ${taskId} from ${tasksJsonPath}${status ? ` (filtering by status: ${status})` : ''}`
);
// Read tasks data using the provided path
const data = readJSON(tasksJsonPath);
if (!data || !data.tasks) {
disableSilentMode(); // Disable before returning
return {
success: false,
error: {
code: 'INVALID_TASKS_FILE',
message: `No valid tasks found in ${tasksJsonPath}`
}
};
}
// Find the specific task, passing the status filter
const { task, originalSubtaskCount } = findTaskById(
data.tasks,
taskId,
status
);
if (!task) {
disableSilentMode(); // Disable before returning
return {
success: false,
error: {
code: 'TASK_NOT_FOUND',
message: `Task with ID ${taskId} not found${status ? ` or no subtasks match status '${status}'` : ''}`
}
};
}
// Restore normal logging
disableSilentMode();
// Return the task data, the original subtask count (if applicable),
// and the full tasks array for reference (needed for formatDependenciesWithStatus function in UI)
log.info(
`Successfully found task ${taskId}${status ? ` (with status filter: ${status})` : ''}`
);
// --- Rest of the function remains the same, using tasksJsonPath ---
try {
const tasksData = readJSON(tasksJsonPath);
if (!tasksData || !tasksData.tasks) {
return {
success: true,
data: {
task,
originalSubtaskCount,
allTasks: data.tasks
}
success: false,
error: { code: 'INVALID_TASKS_DATA', message: 'Invalid tasks data' }
};
} catch (error) {
// Make sure to restore normal logging even if there's an error
disableSilentMode();
}
log.error(`Error showing task: ${error.message}`);
const { task, originalSubtaskCount } = findTaskById(
tasksData.tasks,
id,
status
);
if (!task) {
return {
success: false,
error: {
code: 'CORE_FUNCTION_ERROR',
message: error.message || 'Failed to show task details'
code: 'TASK_NOT_FOUND',
message: `Task or subtask with ID ${id} not found`
}
};
}
};
// Use the caching utility
try {
const result = await getCachedOrExecute({
cacheKey,
actionFn: coreShowTaskAction,
log
});
log.info(`showTaskDirect completed. From cache: ${result.fromCache}`);
return result; // Returns { success, data/error, fromCache }
log.info(`Successfully retrieved task ${id}.`);
const returnData = { ...task };
if (originalSubtaskCount !== null) {
returnData._originalSubtaskCount = originalSubtaskCount;
returnData._subtaskFilter = status;
}
return { success: true, data: returnData };
} catch (error) {
// Catch unexpected errors from getCachedOrExecute itself
disableSilentMode();
log.error(
`Unexpected error during getCachedOrExecute for showTask: ${error.message}`
);
log.error(`Error showing task ${id}: ${error.message}`);
return {
success: false,
error: {
code: 'UNEXPECTED_ERROR',
code: 'TASK_OPERATION_ERROR',
message: error.message
},
fromCache: false
}
};
}
}

View File

@@ -1,130 +1,126 @@
/**
* update-tasks.js
* Direct function implementation for updating tasks based on new context/prompt
* Direct function implementation for updating tasks based on new context
*/
import path from 'path';
import { updateTasks } from '../../../../scripts/modules/task-manager.js';
import { createLogWrapper } from '../../tools/utils.js';
import {
enableSilentMode,
disableSilentMode
} from '../../../../scripts/modules/utils.js';
import { createLogWrapper } from '../../tools/utils.js';
/**
* Direct function wrapper for updating tasks based on new context/prompt.
* Direct function wrapper for updating tasks based on new context.
*
* @param {Object} args - Command arguments containing from, prompt, research and tasksJsonPath.
* @param {Object} args - Command arguments containing projectRoot, from, prompt, research options.
* @param {Object} log - Logger object.
* @param {Object} context - Context object containing session data.
* @returns {Promise<Object>} - Result object with success status and data/error information.
*/
export async function updateTasksDirect(args, log, context = {}) {
const { session } = context; // Extract session
const { tasksJsonPath, from, prompt, research, projectRoot } = args;
const { session } = context;
const { from, prompt, research, file: fileArg, projectRoot } = args;
// Create the standard logger wrapper
const logWrapper = {
info: (message, ...args) => log.info(message, ...args),
warn: (message, ...args) => log.warn(message, ...args),
error: (message, ...args) => log.error(message, ...args),
debug: (message, ...args) => log.debug && log.debug(message, ...args),
success: (message, ...args) => log.info(message, ...args)
};
const logWrapper = createLogWrapper(log);
// --- Input Validation (Keep existing checks) ---
if (!tasksJsonPath) {
log.error('updateTasksDirect called without tasksJsonPath');
return {
success: false,
error: { code: 'MISSING_ARGUMENT', message: 'tasksJsonPath is required' },
fromCache: false
};
}
if (args.id !== undefined && from === undefined) {
// Keep 'from' vs 'id' check
const errorMessage =
"Use 'from' parameter, not 'id', or use 'update_task' tool.";
log.error(errorMessage);
return {
success: false,
error: { code: 'PARAMETER_MISMATCH', message: errorMessage },
fromCache: false
};
}
if (!from) {
log.error('Missing from ID.');
return {
success: false,
error: { code: 'MISSING_FROM_ID', message: 'No from ID specified.' },
fromCache: false
};
}
if (!prompt) {
log.error('Missing prompt.');
return {
success: false,
error: { code: 'MISSING_PROMPT', message: 'No prompt specified.' },
fromCache: false
};
}
let fromId;
try {
fromId = parseInt(from, 10);
if (isNaN(fromId) || fromId <= 0) throw new Error();
} catch {
log.error(`Invalid from ID: ${from}`);
// --- Input Validation ---
if (!projectRoot) {
logWrapper.error('updateTasksDirect requires a projectRoot argument.');
return {
success: false,
error: {
code: 'INVALID_FROM_ID',
message: `Invalid from ID: ${from}. Must be a positive integer.`
},
fromCache: false
code: 'MISSING_ARGUMENT',
message: 'projectRoot is required.'
}
};
}
const useResearch = research === true;
// --- End Input Validation ---
log.info(
`Updating tasks from ID ${fromId}. Research: ${useResearch}. Project Root: ${projectRoot}`
if (!from) {
logWrapper.error('updateTasksDirect called without from ID');
return {
success: false,
error: {
code: 'MISSING_ARGUMENT',
message: 'Starting task ID (from) is required'
}
};
}
if (!prompt) {
logWrapper.error('updateTasksDirect called without prompt');
return {
success: false,
error: {
code: 'MISSING_ARGUMENT',
message: 'Update prompt is required'
}
};
}
// Resolve tasks file path
const tasksFile = fileArg
? path.resolve(projectRoot, fileArg)
: path.resolve(projectRoot, 'tasks', 'tasks.json');
logWrapper.info(
`Updating tasks via direct function. From: ${from}, Research: ${research}, File: ${tasksFile}, ProjectRoot: ${projectRoot}`
);
enableSilentMode(); // Enable silent mode
try {
// Create logger wrapper using the utility
const mcpLog = createLogWrapper(log);
// Execute core updateTasks function, passing session context AND projectRoot
await updateTasks(
tasksJsonPath,
fromId,
// Call the core updateTasks function
const result = await updateTasks(
tasksFile,
from,
prompt,
useResearch,
// Pass context with logger wrapper, session, AND projectRoot
{ mcpLog, session, projectRoot },
'json' // Explicitly request JSON format for MCP
research,
{
session,
mcpLog: logWrapper,
projectRoot
},
'json'
);
// Since updateTasks modifies file and doesn't return data, create success message
return {
success: true,
data: {
message: `Successfully initiated update for tasks from ID ${fromId} based on the prompt.`,
fromId,
tasksPath: tasksJsonPath,
useResearch
},
fromCache: false // Modifies state
};
// updateTasks returns { success: true, updatedTasks: [...] } on success
if (result && result.success && Array.isArray(result.updatedTasks)) {
logWrapper.success(
`Successfully updated ${result.updatedTasks.length} tasks.`
);
return {
success: true,
data: {
message: `Successfully updated ${result.updatedTasks.length} tasks.`,
tasksFile,
updatedCount: result.updatedTasks.length
}
};
} else {
// Handle case where core function didn't return expected success structure
logWrapper.error(
'Core updateTasks function did not return a successful structure.'
);
return {
success: false,
error: {
code: 'CORE_FUNCTION_ERROR',
message:
result?.message ||
'Core function failed to update tasks or returned unexpected result.'
}
};
}
} catch (error) {
log.error(`Error executing core updateTasks: ${error.message}`);
logWrapper.error(`Error executing core updateTasks: ${error.message}`);
return {
success: false,
error: {
code: 'UPDATE_TASKS_CORE_ERROR',
message: error.message || 'Unknown error updating tasks'
},
fromCache: false
}
};
} finally {
disableSilentMode(); // Ensure silent mode is disabled

View File

@@ -28,7 +28,7 @@ import { fixDependenciesDirect } from './direct-functions/fix-dependencies.js';
import { complexityReportDirect } from './direct-functions/complexity-report.js';
import { addDependencyDirect } from './direct-functions/add-dependency.js';
import { removeTaskDirect } from './direct-functions/remove-task.js';
import { initializeProjectDirect } from './direct-functions/initialize-project-direct.js';
import { initializeProjectDirect } from './direct-functions/initialize-project.js';
import { modelsDirect } from './direct-functions/models.js';
// Re-export utility functions

View File

@@ -7,7 +7,8 @@ import { z } from 'zod';
import {
handleApiResult,
createErrorResponse,
getProjectRootFromSession
getProjectRootFromSession,
withNormalizedProjectRoot
} from './utils.js';
import { addDependencyDirect } from '../core/task-master-core.js';
import { findTasksJsonPath } from '../core/utils/path-utils.js';
@@ -35,28 +36,16 @@ export function registerAddDependencyTool(server) {
.string()
.describe('The directory of the project. Must be an absolute path.')
}),
execute: async (args, { log, session }) => {
execute: withNormalizedProjectRoot(async (args, { log, session }) => {
try {
log.info(
`Adding dependency for task ${args.id} to depend on ${args.dependsOn}`
);
// Get project root from args or session
const rootFolder =
args.projectRoot || getProjectRootFromSession(session, log);
// Ensure project root was determined
if (!rootFolder) {
return createErrorResponse(
'Could not determine project root. Please provide it explicitly or ensure your session contains valid root information.'
);
}
// Resolve the path to tasks.json
let tasksJsonPath;
try {
tasksJsonPath = findTasksJsonPath(
{ projectRoot: rootFolder, file: args.file },
{ projectRoot: args.projectRoot, file: args.file },
log
);
} catch (error) {
@@ -92,6 +81,6 @@ export function registerAddDependencyTool(server) {
log.error(`Error in addDependency tool: ${error.message}`);
return createErrorResponse(error.message);
}
}
})
});
}

View File

@@ -7,7 +7,7 @@ import { z } from 'zod';
import {
handleApiResult,
createErrorResponse,
getProjectRootFromSession
withNormalizedProjectRoot
} from './utils.js';
import { addSubtaskDirect } from '../core/task-master-core.js';
import { findTasksJsonPath } from '../core/utils/path-utils.js';
@@ -60,24 +60,15 @@ export function registerAddSubtaskTool(server) {
.string()
.describe('The directory of the project. Must be an absolute path.')
}),
execute: async (args, { log, session }) => {
execute: withNormalizedProjectRoot(async (args, { log, session }) => {
try {
log.info(`Adding subtask with args: ${JSON.stringify(args)}`);
// Get project root from args or session
const rootFolder =
args.projectRoot || getProjectRootFromSession(session, log);
if (!rootFolder) {
return createErrorResponse(
'Could not determine project root. Please provide it explicitly or ensure your session contains valid root information.'
);
}
// Use args.projectRoot directly (guaranteed by withNormalizedProjectRoot)
let tasksJsonPath;
try {
tasksJsonPath = findTasksJsonPath(
{ projectRoot: rootFolder, file: args.file },
{ projectRoot: args.projectRoot, file: args.file },
log
);
} catch (error) {
@@ -113,6 +104,6 @@ export function registerAddSubtaskTool(server) {
log.error(`Error in addSubtask tool: ${error.message}`);
return createErrorResponse(error.message);
}
}
})
});
}

View File

@@ -6,8 +6,8 @@
import { z } from 'zod';
import {
createErrorResponse,
getProjectRootFromSession,
handleApiResult
handleApiResult,
withNormalizedProjectRoot
} from './utils.js';
import { addTaskDirect } from '../core/task-master-core.js';
import { findTasksJsonPath } from '../core/utils/path-utils.js';
@@ -63,26 +63,15 @@ export function registerAddTaskTool(server) {
.optional()
.describe('Whether to use research capabilities for task creation')
}),
execute: async (args, { log, session }) => {
execute: withNormalizedProjectRoot(async (args, { log, session }) => {
try {
log.info(`Starting add-task with args: ${JSON.stringify(args)}`);
// Get project root from args or session
const rootFolder =
args.projectRoot || getProjectRootFromSession(session, log);
// Ensure project root was determined
if (!rootFolder) {
return createErrorResponse(
'Could not determine project root. Please provide it explicitly or ensure your session contains valid root information.'
);
}
// Resolve the path to tasks.json
// Use args.projectRoot directly (guaranteed by withNormalizedProjectRoot)
let tasksJsonPath;
try {
tasksJsonPath = findTasksJsonPath(
{ projectRoot: rootFolder, file: args.file },
{ projectRoot: args.projectRoot, file: args.file },
log
);
} catch (error) {
@@ -92,12 +81,10 @@ export function registerAddTaskTool(server) {
);
}
// Call the direct function
// Call the direct functionP
const result = await addTaskDirect(
{
// Pass the explicitly resolved path
tasksJsonPath: tasksJsonPath,
// Pass other relevant args
prompt: args.prompt,
title: args.title,
description: args.description,
@@ -106,18 +93,17 @@ export function registerAddTaskTool(server) {
dependencies: args.dependencies,
priority: args.priority,
research: args.research,
projectRoot: rootFolder
projectRoot: args.projectRoot
},
log,
{ session }
);
// Return the result
return handleApiResult(result, log);
} catch (error) {
log.error(`Error in add-task tool: ${error.message}`);
return createErrorResponse(error.message);
}
}
})
});
}

View File

@@ -9,7 +9,7 @@ import fs from 'fs'; // Import fs for directory check/creation
import {
handleApiResult,
createErrorResponse,
getProjectRootFromSession // Assuming this is in './utils.js' relative to this file
withNormalizedProjectRoot
} from './utils.js';
import { analyzeTaskComplexityDirect } from '../core/task-master-core.js'; // Assuming core functions are exported via task-master-core.js
import { findTasksJsonPath } from '../core/utils/path-utils.js';
@@ -53,44 +53,34 @@ export function registerAnalyzeProjectComplexityTool(server) {
.string()
.describe('The directory of the project. Must be an absolute path.')
}),
execute: async (args, { log, session }) => {
execute: withNormalizedProjectRoot(async (args, { log, session }) => {
const toolName = 'analyze_project_complexity'; // Define tool name for logging
try {
log.info(
`Executing ${toolName} tool with args: ${JSON.stringify(args)}`
);
// 1. Get Project Root (Mandatory for this tool)
const rootFolder = args.projectRoot;
if (!rootFolder || !path.isAbsolute(rootFolder)) {
log.error(
`${toolName}: projectRoot is required and must be absolute.`
);
return createErrorResponse(
'projectRoot is required and must be absolute.'
);
}
log.info(`${toolName}: Project root: ${rootFolder}`);
// 2. Resolve Paths relative to projectRoot
let tasksJsonPath;
try {
// Note: findTasksJsonPath expects 'file' relative to root, or absolute
tasksJsonPath = findTasksJsonPath(
{ projectRoot: rootFolder, file: args.file }, // Pass root and optional relative file path
{ projectRoot: args.projectRoot, file: args.file },
log
);
log.info(`${toolName}: Resolved tasks path: ${tasksJsonPath}`);
} catch (error) {
log.error(`${toolName}: Error finding tasks.json: ${error.message}`);
return createErrorResponse(
`Failed to find tasks.json within project root '${rootFolder}': ${error.message}`
`Failed to find tasks.json within project root '${args.projectRoot}': ${error.message}`
);
}
const outputPath = args.output
? path.resolve(rootFolder, args.output) // Resolve relative output path
: path.resolve(rootFolder, 'scripts', 'task-complexity-report.json'); // Default location resolved relative to root
? path.resolve(args.projectRoot, args.output)
: path.resolve(
args.projectRoot,
'scripts',
'task-complexity-report.json'
);
log.info(`${toolName}: Report output path: ${outputPath}`);
@@ -113,26 +103,21 @@ export function registerAnalyzeProjectComplexityTool(server) {
// 3. Call Direct Function - Pass projectRoot in first arg object
const result = await analyzeTaskComplexityDirect(
{
// Pass resolved absolute paths and other args
tasksJsonPath: tasksJsonPath,
outputPath: outputPath, // Pass resolved absolute path
outputPath: outputPath,
threshold: args.threshold,
research: args.research,
projectRoot: rootFolder // <<< Pass projectRoot HERE
projectRoot: args.projectRoot
},
log,
{ session } // Pass context object with session
{ session }
);
// 4. Handle Result
log.info(
`${toolName}: Direct function result: success=${result.success}`
);
return handleApiResult(
result,
log,
'Error analyzing task complexity' // Consistent error prefix
);
return handleApiResult(result, log, 'Error analyzing task complexity');
} catch (error) {
log.error(
`Critical error in ${toolName} tool execute: ${error.message}`
@@ -141,6 +126,6 @@ export function registerAnalyzeProjectComplexityTool(server) {
`Internal tool error (${toolName}): ${error.message}`
);
}
}
})
});
}

View File

@@ -7,7 +7,7 @@ import { z } from 'zod';
import {
handleApiResult,
createErrorResponse,
getProjectRootFromSession
withNormalizedProjectRoot
} from './utils.js';
import { clearSubtasksDirect } from '../core/task-master-core.js';
import { findTasksJsonPath } from '../core/utils/path-utils.js';
@@ -41,26 +41,15 @@ export function registerClearSubtasksTool(server) {
message: "Either 'id' or 'all' parameter must be provided",
path: ['id', 'all']
}),
execute: async (args, { log, session }) => {
execute: withNormalizedProjectRoot(async (args, { log, session }) => {
try {
log.info(`Clearing subtasks with args: ${JSON.stringify(args)}`);
// Get project root from args or session
const rootFolder =
args.projectRoot || getProjectRootFromSession(session, log);
// Ensure project root was determined
if (!rootFolder) {
return createErrorResponse(
'Could not determine project root. Please provide it explicitly or ensure your session contains valid root information.'
);
}
// Resolve the path to tasks.json
// Use args.projectRoot directly (guaranteed by withNormalizedProjectRoot)
let tasksJsonPath;
try {
tasksJsonPath = findTasksJsonPath(
{ projectRoot: rootFolder, file: args.file },
{ projectRoot: args.projectRoot, file: args.file },
log
);
} catch (error) {
@@ -72,14 +61,11 @@ export function registerClearSubtasksTool(server) {
const result = await clearSubtasksDirect(
{
// Pass the explicitly resolved path
tasksJsonPath: tasksJsonPath,
// Pass other relevant args
id: args.id,
all: args.all
},
log
// Remove context object as clearSubtasksDirect likely doesn't need session/reportProgress
);
if (result.success) {
@@ -93,6 +79,6 @@ export function registerClearSubtasksTool(server) {
log.error(`Error in clearSubtasks tool: ${error.message}`);
return createErrorResponse(error.message);
}
}
})
});
}

View File

@@ -7,7 +7,7 @@ import { z } from 'zod';
import {
handleApiResult,
createErrorResponse,
getProjectRootFromSession
withNormalizedProjectRoot
} from './utils.js';
import { complexityReportDirect } from '../core/task-master-core.js';
import path from 'path';
@@ -31,34 +31,24 @@ export function registerComplexityReportTool(server) {
.string()
.describe('The directory of the project. Must be an absolute path.')
}),
execute: async (args, { log, session }) => {
execute: withNormalizedProjectRoot(async (args, { log, session }) => {
try {
log.info(
`Getting complexity report with args: ${JSON.stringify(args)}`
);
// Get project root from args or session
const rootFolder =
args.projectRoot || getProjectRootFromSession(session, log);
// Ensure project root was determined
if (!rootFolder) {
return createErrorResponse(
'Could not determine project root. Please provide it explicitly or ensure your session contains valid root information.'
);
}
// Resolve the path to the complexity report file
// Default to scripts/task-complexity-report.json relative to root
// Use args.projectRoot directly (guaranteed by withNormalizedProjectRoot)
const reportPath = args.file
? path.resolve(rootFolder, args.file)
: path.resolve(rootFolder, 'scripts', 'task-complexity-report.json');
? path.resolve(args.projectRoot, args.file)
: path.resolve(
args.projectRoot,
'scripts',
'task-complexity-report.json'
);
const result = await complexityReportDirect(
{
// Pass the explicitly resolved path
reportPath: reportPath
// No other args specific to this tool
},
log
);
@@ -84,6 +74,6 @@ export function registerComplexityReportTool(server) {
`Failed to retrieve complexity report: ${error.message}`
);
}
}
})
});
}

View File

@@ -7,7 +7,7 @@ import { z } from 'zod';
import {
handleApiResult,
createErrorResponse,
getProjectRootFromSession
withNormalizedProjectRoot
} from './utils.js';
import { expandAllTasksDirect } from '../core/task-master-core.js';
import { findTasksJsonPath } from '../core/utils/path-utils.js';
@@ -59,25 +59,16 @@ export function registerExpandAllTool(server) {
'Absolute path to the project root directory (derived from session if possible)'
)
}),
execute: async (args, { log, session }) => {
execute: withNormalizedProjectRoot(async (args, { log, session }) => {
try {
log.info(
`Tool expand_all execution started with args: ${JSON.stringify(args)}`
);
const rootFolder = getProjectRootFromSession(session, log);
if (!rootFolder) {
log.error('Could not determine project root from session.');
return createErrorResponse(
'Could not determine project root from session.'
);
}
log.info(`Project root determined: ${rootFolder}`);
let tasksJsonPath;
try {
tasksJsonPath = findTasksJsonPath(
{ projectRoot: rootFolder, file: args.file },
{ projectRoot: args.projectRoot, file: args.file },
log
);
log.info(`Resolved tasks.json path: ${tasksJsonPath}`);
@@ -95,7 +86,7 @@ export function registerExpandAllTool(server) {
research: args.research,
prompt: args.prompt,
force: args.force,
projectRoot: rootFolder
projectRoot: args.projectRoot
},
log,
{ session }
@@ -113,6 +104,6 @@ export function registerExpandAllTool(server) {
`An unexpected error occurred: ${error.message}`
);
}
}
})
});
}

View File

@@ -4,10 +4,13 @@
*/
import { z } from 'zod';
import { handleApiResult, createErrorResponse } from './utils.js';
import {
handleApiResult,
createErrorResponse,
withNormalizedProjectRoot
} from './utils.js';
import { expandTaskDirect } from '../core/task-master-core.js';
import { findTasksJsonPath } from '../core/utils/path-utils.js';
import path from 'path';
/**
* Register the expand-task tool with the MCP server
@@ -44,32 +47,21 @@ export function registerExpandTaskTool(server) {
.default(false)
.describe('Force expansion even if subtasks exist')
}),
execute: async (args, { log, session }) => {
execute: withNormalizedProjectRoot(async (args, { log, session }) => {
try {
log.info(`Starting expand-task with args: ${JSON.stringify(args)}`);
const rootFolder = args.projectRoot;
if (!rootFolder || !path.isAbsolute(rootFolder)) {
log.error(
`expand-task: projectRoot is required and must be absolute.`
);
return createErrorResponse(
'projectRoot is required and must be absolute.'
);
}
// Resolve the path to tasks.json using the utility
// Use args.projectRoot directly (guaranteed by withNormalizedProjectRoot)
let tasksJsonPath;
try {
tasksJsonPath = findTasksJsonPath(
{ projectRoot: rootFolder, file: args.file },
{ projectRoot: args.projectRoot, file: args.file },
log
);
log.info(`expand-task: Resolved tasks path: ${tasksJsonPath}`);
} catch (error) {
log.error(`expand-task: Error finding tasks.json: ${error.message}`);
log.error(`Error finding tasks.json: ${error.message}`);
return createErrorResponse(
`Failed to find tasks.json within project root '${rootFolder}': ${error.message}`
`Failed to find tasks.json: ${error.message}`
);
}
@@ -81,24 +73,17 @@ export function registerExpandTaskTool(server) {
research: args.research,
prompt: args.prompt,
force: args.force,
projectRoot: rootFolder
projectRoot: args.projectRoot
},
log,
{ session }
);
log.info(
`expand-task: Direct function result: success=${result.success}`
);
return handleApiResult(result, log, 'Error expanding task');
} catch (error) {
log.error(
`Critical error in ${toolName} tool execute: ${error.message}`
);
return createErrorResponse(
`Internal tool error (${toolName}): ${error.message}`
);
log.error(`Error in expand-task tool: ${error.message}`);
return createErrorResponse(error.message);
}
}
})
});
}

View File

@@ -7,7 +7,7 @@ import { z } from 'zod';
import {
handleApiResult,
createErrorResponse,
getProjectRootFromSession
withNormalizedProjectRoot
} from './utils.js';
import { fixDependenciesDirect } from '../core/task-master-core.js';
import { findTasksJsonPath } from '../core/utils/path-utils.js';
@@ -26,24 +26,15 @@ export function registerFixDependenciesTool(server) {
.string()
.describe('The directory of the project. Must be an absolute path.')
}),
execute: async (args, { log, session }) => {
execute: withNormalizedProjectRoot(async (args, { log, session }) => {
try {
log.info(`Fixing dependencies with args: ${JSON.stringify(args)}`);
// Get project root from args or session
const rootFolder =
args.projectRoot || getProjectRootFromSession(session, log);
if (!rootFolder) {
return createErrorResponse(
'Could not determine project root. Please provide it explicitly or ensure your session contains valid root information.'
);
}
// Use args.projectRoot directly (guaranteed by withNormalizedProjectRoot)
let tasksJsonPath;
try {
tasksJsonPath = findTasksJsonPath(
{ projectRoot: rootFolder, file: args.file },
{ projectRoot: args.projectRoot, file: args.file },
log
);
} catch (error) {
@@ -71,6 +62,6 @@ export function registerFixDependenciesTool(server) {
log.error(`Error in fixDependencies tool: ${error.message}`);
return createErrorResponse(error.message);
}
}
})
});
}

View File

@@ -7,7 +7,7 @@ import { z } from 'zod';
import {
handleApiResult,
createErrorResponse,
getProjectRootFromSession
withNormalizedProjectRoot
} from './utils.js';
import { generateTaskFilesDirect } from '../core/task-master-core.js';
import { findTasksJsonPath } from '../core/utils/path-utils.js';
@@ -32,26 +32,15 @@ export function registerGenerateTool(server) {
.string()
.describe('The directory of the project. Must be an absolute path.')
}),
execute: async (args, { log, session }) => {
execute: withNormalizedProjectRoot(async (args, { log, session }) => {
try {
log.info(`Generating task files with args: ${JSON.stringify(args)}`);
// Get project root from args or session
const rootFolder =
args.projectRoot || getProjectRootFromSession(session, log);
// Ensure project root was determined
if (!rootFolder) {
return createErrorResponse(
'Could not determine project root. Please provide it explicitly or ensure your session contains valid root information.'
);
}
// Resolve the path to tasks.json
// Use args.projectRoot directly (guaranteed by withNormalizedProjectRoot)
let tasksJsonPath;
try {
tasksJsonPath = findTasksJsonPath(
{ projectRoot: rootFolder, file: args.file },
{ projectRoot: args.projectRoot, file: args.file },
log
);
} catch (error) {
@@ -61,17 +50,14 @@ export function registerGenerateTool(server) {
);
}
// Determine output directory: use explicit arg or default to tasks.json directory
const outputDir = args.output
? path.resolve(rootFolder, args.output) // Resolve relative to root if needed
? path.resolve(args.projectRoot, args.output)
: path.dirname(tasksJsonPath);
const result = await generateTaskFilesDirect(
{
// Pass the explicitly resolved paths
tasksJsonPath: tasksJsonPath,
outputDir: outputDir
// No other args specific to this tool
},
log
);
@@ -89,6 +75,6 @@ export function registerGenerateTool(server) {
log.error(`Error in generate tool: ${error.message}`);
return createErrorResponse(error.message);
}
}
})
});
}

View File

@@ -7,7 +7,7 @@ import { z } from 'zod';
import {
handleApiResult,
createErrorResponse,
getProjectRootFromSession
withNormalizedProjectRoot
} from './utils.js';
import { showTaskDirect } from '../core/task-master-core.js';
import { findTasksJsonPath } from '../core/utils/path-utils.js';
@@ -21,8 +21,10 @@ function processTaskResponse(data) {
if (!data) return data;
// If we have the expected structure with task and allTasks
if (data.task) {
// Return only the task object, removing the allTasks array
if (typeof data === 'object' && data !== null && data.id && data.title) {
// If the data itself looks like the task object, return it
return data;
} else if (data.task) {
return data.task;
}
@@ -44,44 +46,33 @@ export function registerShowTaskTool(server) {
.string()
.optional()
.describe("Filter subtasks by status (e.g., 'pending', 'done')"),
file: z.string().optional().describe('Absolute path to the tasks file'),
file: z
.string()
.optional()
.describe('Path to the tasks file relative to project root'),
projectRoot: z
.string()
.describe('The directory of the project. Must be an absolute path.')
.optional()
.describe(
'Absolute path to the project root directory (Optional, usually from session)'
)
}),
execute: async (args, { log, session }) => {
// Log the session right at the start of execute
log.info(
`Session object received in execute: ${JSON.stringify(session)}`
); // Use JSON.stringify for better visibility
execute: withNormalizedProjectRoot(async (args, { log }) => {
const { id, file, status, projectRoot } = args;
try {
log.info(
`Getting task details for ID: ${args.id}${args.status ? ` (filtering subtasks by status: ${args.status})` : ''}`
`Getting task details for ID: ${id}${status ? ` (filtering subtasks by status: ${status})` : ''} in root: ${projectRoot}`
);
// Get project root from args or session
const rootFolder =
args.projectRoot || getProjectRootFromSession(session, log);
// Ensure project root was determined
if (!rootFolder) {
return createErrorResponse(
'Could not determine project root. Please provide it explicitly or ensure your session contains valid root information.'
);
}
log.info(`Attempting to use project root: ${rootFolder}`); // Log the final resolved root
log.info(`Root folder: ${rootFolder}`); // Log the final resolved root
// Resolve the path to tasks.json
// Resolve the path to tasks.json using the NORMALIZED projectRoot from args
let tasksJsonPath;
try {
tasksJsonPath = findTasksJsonPath(
{ projectRoot: rootFolder, file: args.file },
{ projectRoot: projectRoot, file: file },
log
);
log.info(`Resolved tasks path: ${tasksJsonPath}`);
} catch (error) {
log.error(`Error finding tasks.json: ${error.message}`);
return createErrorResponse(
@@ -89,13 +80,13 @@ export function registerShowTaskTool(server) {
);
}
log.info(`Attempting to use tasks file path: ${tasksJsonPath}`);
// Call the direct function, passing the normalized projectRoot
const result = await showTaskDirect(
{
tasksJsonPath: tasksJsonPath,
id: args.id,
status: args.status
id: id,
status: status,
projectRoot: projectRoot
},
log
);
@@ -108,7 +99,7 @@ export function registerShowTaskTool(server) {
log.error(`Failed to get task: ${result.error.message}`);
}
// Use our custom processor function to remove allTasks from the response
// Use our custom processor function
return handleApiResult(
result,
log,
@@ -116,9 +107,9 @@ export function registerShowTaskTool(server) {
processTaskResponse
);
} catch (error) {
log.error(`Error in get-task tool: ${error.message}\n${error.stack}`); // Add stack trace
log.error(`Error in get-task tool: ${error.message}\n${error.stack}`);
return createErrorResponse(`Failed to get task: ${error.message}`);
}
}
})
});
}

View File

@@ -7,7 +7,7 @@ import { z } from 'zod';
import {
createErrorResponse,
handleApiResult,
getProjectRootFromSession
withNormalizedProjectRoot
} from './utils.js';
import { listTasksDirect } from '../core/task-master-core.js';
import { findTasksJsonPath } from '../core/utils/path-utils.js';
@@ -42,31 +42,19 @@ export function registerListTasksTool(server) {
.string()
.describe('The directory of the project. Must be an absolute path.')
}),
execute: async (args, { log, session }) => {
execute: withNormalizedProjectRoot(async (args, { log, session }) => {
try {
log.info(`Getting tasks with filters: ${JSON.stringify(args)}`);
// Get project root from args or session
const rootFolder =
args.projectRoot || getProjectRootFromSession(session, log);
// Ensure project root was determined
if (!rootFolder) {
return createErrorResponse(
'Could not determine project root. Please provide it explicitly or ensure your session contains valid root information.'
);
}
// Resolve the path to tasks.json
// Use args.projectRoot directly (guaranteed by withNormalizedProjectRoot)
let tasksJsonPath;
try {
tasksJsonPath = findTasksJsonPath(
{ projectRoot: rootFolder, file: args.file },
{ projectRoot: args.projectRoot, file: args.file },
log
);
} catch (error) {
log.error(`Error finding tasks.json: ${error.message}`);
// Use the error message from findTasksJsonPath for better context
return createErrorResponse(
`Failed to find tasks.json: ${error.message}`
);
@@ -89,7 +77,7 @@ export function registerListTasksTool(server) {
log.error(`Error getting tasks: ${error.message}`);
return createErrorResponse(error.message);
}
}
})
});
}

View File

@@ -1,5 +1,9 @@
import { z } from 'zod';
import { createErrorResponse, handleApiResult } from './utils.js';
import {
createErrorResponse,
handleApiResult,
withNormalizedProjectRoot
} from './utils.js';
import { initializeProjectDirect } from '../core/task-master-core.js';
export function registerInitializeProjectTool(server) {
@@ -33,19 +37,10 @@ export function registerInitializeProjectTool(server) {
'The root directory for the project. ALWAYS SET THIS TO THE PROJECT ROOT DIRECTORY. IF NOT SET, THE TOOL WILL NOT WORK.'
)
}),
execute: async (args, context) => {
execute: withNormalizedProjectRoot(async (args, context) => {
const { log } = context;
const session = context.session;
log.info(
'>>> Full Context Received by Tool:',
JSON.stringify(context, null, 2)
);
log.info(`Context received in tool function: ${context}`);
log.info(
`Session received in tool function: ${session ? session : 'undefined'}`
);
try {
log.info(
`Executing initialize_project tool with args: ${JSON.stringify(args)}`
@@ -59,6 +54,6 @@ export function registerInitializeProjectTool(server) {
log.error(errorMessage, error);
return createErrorResponse(errorMessage, { details: error.stack });
}
}
})
});
}

View File

@@ -5,9 +5,9 @@
import { z } from 'zod';
import {
getProjectRootFromSession,
handleApiResult,
createErrorResponse
createErrorResponse,
withNormalizedProjectRoot
} from './utils.js';
import { modelsDirect } from '../core/task-master-core.js';
@@ -42,7 +42,9 @@ export function registerModelsTool(server) {
listAvailableModels: z
.boolean()
.optional()
.describe('List all available models not currently in use.'),
.describe(
'List all available models not currently in use. Input/output costs values are in dollars (3 is $3.00).'
),
projectRoot: z
.string()
.optional()
@@ -56,34 +58,22 @@ export function registerModelsTool(server) {
.optional()
.describe('Indicates the set model ID is a custom Ollama model.')
}),
execute: async (args, { log, session }) => {
execute: withNormalizedProjectRoot(async (args, { log, session }) => {
try {
log.info(`Starting models tool with args: ${JSON.stringify(args)}`);
// Get project root from args or session
const rootFolder =
args.projectRoot || getProjectRootFromSession(session, log);
// Ensure project root was determined
if (!rootFolder) {
return createErrorResponse(
'Could not determine project root. Please provide it explicitly or ensure your session contains valid root information.'
);
}
// Call the direct function
// Use args.projectRoot directly (guaranteed by withNormalizedProjectRoot)
const result = await modelsDirect(
{ ...args, projectRoot: rootFolder },
{ ...args, projectRoot: args.projectRoot },
log,
{ session }
);
// Handle and return the result
return handleApiResult(result, log);
} catch (error) {
log.error(`Error in models tool: ${error.message}`);
return createErrorResponse(error.message);
}
}
})
});
}

View File

@@ -7,7 +7,7 @@ import { z } from 'zod';
import {
handleApiResult,
createErrorResponse,
getProjectRootFromSession
withNormalizedProjectRoot
} from './utils.js';
import { nextTaskDirect } from '../core/task-master-core.js';
import { findTasksJsonPath } from '../core/utils/path-utils.js';
@@ -27,26 +27,15 @@ export function registerNextTaskTool(server) {
.string()
.describe('The directory of the project. Must be an absolute path.')
}),
execute: async (args, { log, session }) => {
execute: withNormalizedProjectRoot(async (args, { log, session }) => {
try {
log.info(`Finding next task with args: ${JSON.stringify(args)}`);
// Get project root from args or session
const rootFolder =
args.projectRoot || getProjectRootFromSession(session, log);
// Ensure project root was determined
if (!rootFolder) {
return createErrorResponse(
'Could not determine project root. Please provide it explicitly or ensure your session contains valid root information.'
);
}
// Resolve the path to tasks.json
// Use args.projectRoot directly (guaranteed by withNormalizedProjectRoot)
let tasksJsonPath;
try {
tasksJsonPath = findTasksJsonPath(
{ projectRoot: rootFolder, file: args.file },
{ projectRoot: args.projectRoot, file: args.file },
log
);
} catch (error) {
@@ -58,9 +47,7 @@ export function registerNextTaskTool(server) {
const result = await nextTaskDirect(
{
// Pass the explicitly resolved path
tasksJsonPath: tasksJsonPath
// No other args specific to this tool
},
log
);
@@ -80,6 +67,6 @@ export function registerNextTaskTool(server) {
log.error(`Error in nextTask tool: ${error.message}`);
return createErrorResponse(error.message);
}
}
})
});
}

View File

@@ -5,7 +5,11 @@
import { z } from 'zod';
import path from 'path';
import { handleApiResult, createErrorResponse } from './utils.js';
import {
handleApiResult,
createErrorResponse,
withNormalizedProjectRoot
} from './utils.js';
import { parsePRDDirect } from '../core/task-master-core.js';
/**
@@ -49,42 +53,27 @@ export function registerParsePRDTool(server) {
.string()
.describe('The directory of the project. Must be an absolute path.')
}),
execute: async (args, { log, session }) => {
execute: withNormalizedProjectRoot(async (args, { log, session }) => {
const toolName = 'parse_prd';
try {
log.info(
`Executing ${toolName} tool with args: ${JSON.stringify(args)}`
);
// 1. Get Project Root
const rootFolder = args.projectRoot;
if (!rootFolder || !path.isAbsolute(rootFolder)) {
log.error(
`${toolName}: projectRoot is required and must be absolute.`
);
return createErrorResponse(
'projectRoot is required and must be absolute.'
);
}
log.info(`${toolName}: Project root: ${rootFolder}`);
// 2. Call Direct Function - Pass relevant args including projectRoot
// Path resolution (input/output) is handled within the direct function now
// Call Direct Function - Pass relevant args including projectRoot
const result = await parsePRDDirect(
{
// Pass args directly needed by the direct function
input: args.input, // Pass relative or absolute path
output: args.output, // Pass relative or absolute path
numTasks: args.numTasks, // Pass number (direct func handles default)
input: args.input,
output: args.output,
numTasks: args.numTasks,
force: args.force,
append: args.append,
projectRoot: rootFolder
projectRoot: args.projectRoot
},
log,
{ session } // Pass context object with session
{ session }
);
// 3. Handle Result
log.info(
`${toolName}: Direct function result: success=${result.success}`
);
@@ -97,6 +86,6 @@ export function registerParsePRDTool(server) {
`Internal tool error (${toolName}): ${error.message}`
);
}
}
})
});
}

View File

@@ -7,7 +7,7 @@ import { z } from 'zod';
import {
handleApiResult,
createErrorResponse,
getProjectRootFromSession
withNormalizedProjectRoot
} from './utils.js';
import { removeDependencyDirect } from '../core/task-master-core.js';
import { findTasksJsonPath } from '../core/utils/path-utils.js';
@@ -33,28 +33,17 @@ export function registerRemoveDependencyTool(server) {
.string()
.describe('The directory of the project. Must be an absolute path.')
}),
execute: async (args, { log, session }) => {
execute: withNormalizedProjectRoot(async (args, { log, session }) => {
try {
log.info(
`Removing dependency for task ${args.id} from ${args.dependsOn} with args: ${JSON.stringify(args)}`
);
// Get project root from args or session
const rootFolder =
args.projectRoot || getProjectRootFromSession(session, log);
// Ensure project root was determined
if (!rootFolder) {
return createErrorResponse(
'Could not determine project root. Please provide it explicitly or ensure your session contains valid root information.'
);
}
// Resolve the path to tasks.json
// Use args.projectRoot directly (guaranteed by withNormalizedProjectRoot)
let tasksJsonPath;
try {
tasksJsonPath = findTasksJsonPath(
{ projectRoot: rootFolder, file: args.file },
{ projectRoot: args.projectRoot, file: args.file },
log
);
} catch (error) {
@@ -66,9 +55,7 @@ export function registerRemoveDependencyTool(server) {
const result = await removeDependencyDirect(
{
// Pass the explicitly resolved path
tasksJsonPath: tasksJsonPath,
// Pass other relevant args
id: args.id,
dependsOn: args.dependsOn
},
@@ -86,6 +73,6 @@ export function registerRemoveDependencyTool(server) {
log.error(`Error in removeDependency tool: ${error.message}`);
return createErrorResponse(error.message);
}
}
})
});
}

View File

@@ -7,7 +7,7 @@ import { z } from 'zod';
import {
handleApiResult,
createErrorResponse,
getProjectRootFromSession
withNormalizedProjectRoot
} from './utils.js';
import { removeSubtaskDirect } from '../core/task-master-core.js';
import { findTasksJsonPath } from '../core/utils/path-utils.js';
@@ -46,26 +46,15 @@ export function registerRemoveSubtaskTool(server) {
.string()
.describe('The directory of the project. Must be an absolute path.')
}),
execute: async (args, { log, session }) => {
execute: withNormalizedProjectRoot(async (args, { log }) => {
try {
log.info(`Removing subtask with args: ${JSON.stringify(args)}`);
// Get project root from args or session
const rootFolder =
args.projectRoot || getProjectRootFromSession(session, log);
// Ensure project root was determined
if (!rootFolder) {
return createErrorResponse(
'Could not determine project root. Please provide it explicitly or ensure your session contains valid root information.'
);
}
// Resolve the path to tasks.json
// Use args.projectRoot directly (guaranteed by withNormalizedProjectRoot)
let tasksJsonPath;
try {
tasksJsonPath = findTasksJsonPath(
{ projectRoot: rootFolder, file: args.file },
{ projectRoot: args.projectRoot, file: args.file },
log
);
} catch (error) {
@@ -77,9 +66,7 @@ export function registerRemoveSubtaskTool(server) {
const result = await removeSubtaskDirect(
{
// Pass the explicitly resolved path
tasksJsonPath: tasksJsonPath,
// Pass other relevant args
id: args.id,
convert: args.convert,
skipGenerate: args.skipGenerate
@@ -98,6 +85,6 @@ export function registerRemoveSubtaskTool(server) {
log.error(`Error in removeSubtask tool: ${error.message}`);
return createErrorResponse(error.message);
}
}
})
});
}

View File

@@ -7,7 +7,7 @@ import { z } from 'zod';
import {
handleApiResult,
createErrorResponse,
getProjectRootFromSession
withNormalizedProjectRoot
} from './utils.js';
import { removeTaskDirect } from '../core/task-master-core.js';
import { findTasksJsonPath } from '../core/utils/path-utils.js';
@@ -35,28 +35,15 @@ export function registerRemoveTaskTool(server) {
.optional()
.describe('Whether to skip confirmation prompt (default: false)')
}),
execute: async (args, { log, session }) => {
execute: withNormalizedProjectRoot(async (args, { log }) => {
try {
log.info(`Removing task(s) with ID(s): ${args.id}`);
// Get project root from args or session
const rootFolder =
args.projectRoot || getProjectRootFromSession(session, log);
// Ensure project root was determined
if (!rootFolder) {
return createErrorResponse(
'Could not determine project root. Please provide it explicitly or ensure your session contains valid root information.'
);
}
log.info(`Using project root: ${rootFolder}`);
// Resolve the path to tasks.json
// Use args.projectRoot directly (guaranteed by withNormalizedProjectRoot)
let tasksJsonPath;
try {
tasksJsonPath = findTasksJsonPath(
{ projectRoot: rootFolder, file: args.file },
{ projectRoot: args.projectRoot, file: args.file },
log
);
} catch (error) {
@@ -68,7 +55,6 @@ export function registerRemoveTaskTool(server) {
log.info(`Using tasks file path: ${tasksJsonPath}`);
// Assume client has already handled confirmation if needed
const result = await removeTaskDirect(
{
tasksJsonPath: tasksJsonPath,
@@ -88,6 +74,6 @@ export function registerRemoveTaskTool(server) {
log.error(`Error in remove-task tool: ${error.message}`);
return createErrorResponse(`Failed to remove task: ${error.message}`);
}
}
})
});
}

View File

@@ -7,10 +7,11 @@ import { z } from 'zod';
import {
handleApiResult,
createErrorResponse,
getProjectRootFromSession
withNormalizedProjectRoot
} from './utils.js';
import { setTaskStatusDirect } from '../core/task-master-core.js';
import { findTasksJsonPath } from '../core/utils/path-utils.js';
import { TASK_STATUS_OPTIONS } from '../../../src/constants/task-status.js';
/**
* Register the setTaskStatus tool with the MCP server
@@ -27,7 +28,7 @@ export function registerSetTaskStatusTool(server) {
"Task ID or subtask ID (e.g., '15', '15.2'). Can be comma-separated to update multiple tasks/subtasks at once."
),
status: z
.string()
.enum(TASK_STATUS_OPTIONS)
.describe(
"New status to set (e.g., 'pending', 'done', 'in-progress', 'review', 'deferred', 'cancelled'."
),
@@ -36,26 +37,15 @@ export function registerSetTaskStatusTool(server) {
.string()
.describe('The directory of the project. Must be an absolute path.')
}),
execute: async (args, { log, session }) => {
execute: withNormalizedProjectRoot(async (args, { log }) => {
try {
log.info(`Setting status of task(s) ${args.id} to: ${args.status}`);
// Get project root from args or session
const rootFolder =
args.projectRoot || getProjectRootFromSession(session, log);
// Ensure project root was determined
if (!rootFolder) {
return createErrorResponse(
'Could not determine project root. Please provide it explicitly or ensure your session contains valid root information.'
);
}
// Resolve the path to tasks.json
// Use args.projectRoot directly (guaranteed by withNormalizedProjectRoot)
let tasksJsonPath;
try {
tasksJsonPath = findTasksJsonPath(
{ projectRoot: rootFolder, file: args.file },
{ projectRoot: args.projectRoot, file: args.file },
log
);
} catch (error) {
@@ -65,19 +55,15 @@ export function registerSetTaskStatusTool(server) {
);
}
// Call the direct function with the resolved path
const result = await setTaskStatusDirect(
{
// Pass the explicitly resolved path
tasksJsonPath: tasksJsonPath,
// Pass other relevant args
id: args.id,
status: args.status
},
log
);
// Log the result
if (result.success) {
log.info(
`Successfully updated status for task(s) ${args.id} to "${args.status}": ${result.data.message}`
@@ -88,7 +74,6 @@ export function registerSetTaskStatusTool(server) {
);
}
// Format and return the result
return handleApiResult(result, log, 'Error setting task status');
} catch (error) {
log.error(`Error in setTaskStatus tool: ${error.message}`);
@@ -96,6 +81,6 @@ export function registerSetTaskStatusTool(server) {
`Error setting task status: ${error.message}`
);
}
}
})
});
}

View File

@@ -4,10 +4,13 @@
*/
import { z } from 'zod';
import { handleApiResult, createErrorResponse } from './utils.js';
import {
handleApiResult,
createErrorResponse,
withNormalizedProjectRoot
} from './utils.js';
import { updateSubtaskByIdDirect } from '../core/task-master-core.js';
import { findTasksJsonPath } from '../core/utils/path-utils.js';
import path from 'path';
/**
* Register the update-subtask tool with the MCP server
@@ -34,45 +37,31 @@ export function registerUpdateSubtaskTool(server) {
.string()
.describe('The directory of the project. Must be an absolute path.')
}),
execute: async (args, { log, session }) => {
execute: withNormalizedProjectRoot(async (args, { log, session }) => {
const toolName = 'update_subtask';
try {
log.info(`Updating subtask with args: ${JSON.stringify(args)}`);
// 1. Get Project Root
const rootFolder = args.projectRoot;
if (!rootFolder || !path.isAbsolute(rootFolder)) {
log.error(
`${toolName}: projectRoot is required and must be absolute.`
);
return createErrorResponse(
'projectRoot is required and must be absolute.'
);
}
log.info(`${toolName}: Project root: ${rootFolder}`);
// 2. Resolve Tasks Path
let tasksJsonPath;
try {
tasksJsonPath = findTasksJsonPath(
{ projectRoot: rootFolder, file: args.file },
{ projectRoot: args.projectRoot, file: args.file },
log
);
} catch (error) {
log.error(`${toolName}: Error finding tasks.json: ${error.message}`);
return createErrorResponse(
`Failed to find tasks.json within project root '${rootFolder}': ${error.message}`
`Failed to find tasks.json: ${error.message}`
);
}
// 3. Call Direct Function - Include projectRoot
const result = await updateSubtaskByIdDirect(
{
tasksJsonPath: tasksJsonPath,
id: args.id,
prompt: args.prompt,
research: args.research,
projectRoot: rootFolder
projectRoot: args.projectRoot
},
log,
{ session }
@@ -95,6 +84,6 @@ export function registerUpdateSubtaskTool(server) {
`Internal tool error (${toolName}): ${error.message}`
);
}
}
})
});
}

View File

@@ -4,11 +4,10 @@
*/
import { z } from 'zod';
import path from 'path'; // Import path
import {
handleApiResult,
createErrorResponse,
getProjectRootFromSession
withNormalizedProjectRoot
} from './utils.js';
import { updateTaskByIdDirect } from '../core/task-master-core.js';
import { findTasksJsonPath } from '../core/utils/path-utils.js';
@@ -40,58 +39,44 @@ export function registerUpdateTaskTool(server) {
.string()
.describe('The directory of the project. Must be an absolute path.')
}),
execute: async (args, { log, session }) => {
execute: withNormalizedProjectRoot(async (args, { log, session }) => {
const toolName = 'update_task';
try {
log.info(
`Executing ${toolName} tool with args: ${JSON.stringify(args)}`
);
// 1. Get Project Root
const rootFolder = args.projectRoot;
if (!rootFolder || !path.isAbsolute(rootFolder)) {
log.error(
`${toolName}: projectRoot is required and must be absolute.`
);
return createErrorResponse(
'projectRoot is required and must be absolute.'
);
}
log.info(`${toolName}: Project root: ${rootFolder}`);
// 2. Resolve Tasks Path
let tasksJsonPath;
try {
tasksJsonPath = findTasksJsonPath(
{ projectRoot: rootFolder, file: args.file }, // Pass root and optional relative file
{ projectRoot: args.projectRoot, file: args.file },
log
);
log.info(`${toolName}: Resolved tasks path: ${tasksJsonPath}`);
} catch (error) {
log.error(`${toolName}: Error finding tasks.json: ${error.message}`);
return createErrorResponse(
`Failed to find tasks.json within project root '${rootFolder}': ${error.message}`
`Failed to find tasks.json: ${error.message}`
);
}
// 3. Call Direct Function - Include projectRoot
const result = await updateTaskByIdDirect(
{
tasksJsonPath: tasksJsonPath, // Pass resolved path
tasksJsonPath: tasksJsonPath,
id: args.id,
prompt: args.prompt,
research: args.research,
projectRoot: rootFolder // <<< Pass projectRoot HERE
projectRoot: args.projectRoot
},
log,
{ session } // Pass context with session
{ session }
);
// 4. Handle Result
log.info(
`${toolName}: Direct function result: success=${result.success}`
);
// Pass the actual data from the result (contains updated task or message)
return handleApiResult(result, log, 'Error updating task');
} catch (error) {
log.error(
@@ -101,6 +86,6 @@ export function registerUpdateTaskTool(server) {
`Internal tool error (${toolName}): ${error.message}`
);
}
}
})
});
}

View File

@@ -4,10 +4,13 @@
*/
import { z } from 'zod';
import { handleApiResult, createErrorResponse } from './utils.js';
import {
handleApiResult,
createErrorResponse,
withNormalizedProjectRoot
} from './utils.js';
import { updateTasksDirect } from '../core/task-master-core.js';
import { findTasksJsonPath } from '../core/utils/path-utils.js';
import path from 'path';
/**
* Register the update tool with the MCP server
@@ -31,59 +34,61 @@ export function registerUpdateTool(server) {
.boolean()
.optional()
.describe('Use Perplexity AI for research-backed updates'),
file: z.string().optional().describe('Absolute path to the tasks file'),
file: z
.string()
.optional()
.describe('Path to the tasks file relative to project root'),
projectRoot: z
.string()
.describe('The directory of the project. Must be an absolute path.')
.optional()
.describe(
'The directory of the project. (Optional, usually from session)'
)
}),
execute: async (args, { log, session }) => {
execute: withNormalizedProjectRoot(async (args, { log, session }) => {
const toolName = 'update';
const { from, prompt, research, file, projectRoot } = args;
try {
log.info(`Executing update tool with args: ${JSON.stringify(args)}`);
log.info(
`Executing ${toolName} tool with normalized root: ${projectRoot}`
);
// 1. Get Project Root
const rootFolder = args.projectRoot;
if (!rootFolder || !path.isAbsolute(rootFolder)) {
return createErrorResponse(
'projectRoot is required and must be absolute.'
);
}
log.info(`Project root: ${rootFolder}`);
// 2. Resolve Path
let tasksJsonPath;
try {
tasksJsonPath = findTasksJsonPath(
{ projectRoot: rootFolder, file: args.file },
log
);
log.info(`Resolved tasks path: ${tasksJsonPath}`);
tasksJsonPath = findTasksJsonPath({ projectRoot, file }, log);
log.info(`${toolName}: Resolved tasks path: ${tasksJsonPath}`);
} catch (error) {
log.error(`Error finding tasks.json: ${error.message}`);
log.error(`${toolName}: Error finding tasks.json: ${error.message}`);
return createErrorResponse(
`Failed to find tasks.json: ${error.message}`
`Failed to find tasks.json within project root '${projectRoot}': ${error.message}`
);
}
// 3. Call Direct Function
const result = await updateTasksDirect(
{
tasksJsonPath: tasksJsonPath,
from: args.from,
prompt: args.prompt,
research: args.research,
projectRoot: rootFolder
from: from,
prompt: prompt,
research: research,
projectRoot: projectRoot
},
log,
{ session }
);
// 4. Handle Result
log.info(`updateTasksDirect result: success=${result.success}`);
log.info(
`${toolName}: Direct function result: success=${result.success}`
);
return handleApiResult(result, log, 'Error updating tasks');
} catch (error) {
log.error(`Critical error in update tool execute: ${error.message}`);
return createErrorResponse(`Internal tool error: ${error.message}`);
log.error(
`Critical error in ${toolName} tool execute: ${error.message}`
);
return createErrorResponse(
`Internal tool error (${toolName}): ${error.message}`
);
}
}
})
});
}

View File

@@ -83,10 +83,10 @@ function getProjectRoot(projectRootRaw, log) {
}
/**
* Extracts the project root path from the FastMCP session object.
* @param {Object} session - The FastMCP session object.
* @param {Object} log - Logger object.
* @returns {string|null} - The absolute path to the project root, or null if not found.
* Extracts and normalizes the project root path from the MCP session object.
* @param {Object} session - The MCP session object.
* @param {Object} log - The MCP logger object.
* @returns {string|null} - The normalized absolute project root path or null if not found/invalid.
*/
function getProjectRootFromSession(session, log) {
try {
@@ -107,68 +107,87 @@ function getProjectRootFromSession(session, log) {
})}`
);
// ALWAYS ensure we return a valid path for project root
let rawRootPath = null;
let decodedPath = null;
let finalPath = null;
// Check primary location
if (session?.roots?.[0]?.uri) {
rawRootPath = session.roots[0].uri;
log.info(`Found raw root URI in session.roots[0].uri: ${rawRootPath}`);
}
// Check alternate location
else if (session?.roots?.roots?.[0]?.uri) {
rawRootPath = session.roots.roots[0].uri;
log.info(
`Found raw root URI in session.roots.roots[0].uri: ${rawRootPath}`
);
}
if (rawRootPath) {
// Decode URI and strip file:// protocol
decodedPath = rawRootPath.startsWith('file://')
? decodeURIComponent(rawRootPath.slice(7))
: rawRootPath; // Assume non-file URI is already decoded? Or decode anyway? Let's decode.
if (!rawRootPath.startsWith('file://')) {
decodedPath = decodeURIComponent(rawRootPath); // Decode even if no file://
}
// Handle potential Windows drive prefix after stripping protocol (e.g., /C:/...)
if (
decodedPath.startsWith('/') &&
/[A-Za-z]:/.test(decodedPath.substring(1, 3))
) {
decodedPath = decodedPath.substring(1); // Remove leading slash if it's like /C:/...
}
log.info(`Decoded path: ${decodedPath}`);
// Normalize slashes and resolve
const normalizedSlashes = decodedPath.replace(/\\/g, '/');
finalPath = path.resolve(normalizedSlashes); // Resolve to absolute path for current OS
log.info(`Normalized and resolved session path: ${finalPath}`);
return finalPath;
}
// Fallback Logic (remains the same)
log.warn('No project root URI found in session. Attempting fallbacks...');
const cwd = process.cwd();
// If we have a session with roots array
if (session?.roots?.[0]?.uri) {
const rootUri = session.roots[0].uri;
log.info(`Found rootUri in session.roots[0].uri: ${rootUri}`);
const rootPath = rootUri.startsWith('file://')
? decodeURIComponent(rootUri.slice(7))
: rootUri;
log.info(`Decoded rootPath: ${rootPath}`);
return rootPath;
}
// If we have a session with roots.roots array (different structure)
if (session?.roots?.roots?.[0]?.uri) {
const rootUri = session.roots.roots[0].uri;
log.info(`Found rootUri in session.roots.roots[0].uri: ${rootUri}`);
const rootPath = rootUri.startsWith('file://')
? decodeURIComponent(rootUri.slice(7))
: rootUri;
log.info(`Decoded rootPath: ${rootPath}`);
return rootPath;
}
// Get the server's location and try to find project root -- this is a fallback necessary in Cursor IDE
const serverPath = process.argv[1]; // This should be the path to server.js, which is in mcp-server/
// Fallback 1: Use server path deduction (Cursor IDE)
const serverPath = process.argv[1];
if (serverPath && serverPath.includes('mcp-server')) {
// Find the mcp-server directory first
const mcpServerIndex = serverPath.indexOf('mcp-server');
if (mcpServerIndex !== -1) {
// Get the path up to mcp-server, which should be the project root
const projectRoot = serverPath.substring(0, mcpServerIndex - 1); // -1 to remove trailing slash
const projectRoot = path.dirname(
serverPath.substring(0, mcpServerIndex)
); // Go up one level
// Verify this looks like our project root by checking for key files/directories
if (
fs.existsSync(path.join(projectRoot, '.cursor')) ||
fs.existsSync(path.join(projectRoot, 'mcp-server')) ||
fs.existsSync(path.join(projectRoot, 'package.json'))
) {
log.info(`Found project root from server path: ${projectRoot}`);
return projectRoot;
log.info(
`Using project root derived from server path: ${projectRoot}`
);
return projectRoot; // Already absolute
}
}
}
// ALWAYS ensure we return a valid path as a last resort
// Fallback 2: Use CWD
log.info(`Using current working directory as ultimate fallback: ${cwd}`);
return cwd;
return cwd; // Already absolute
} catch (e) {
// If we have a server path, use it as a basis for project root
const serverPath = process.argv[1];
if (serverPath && serverPath.includes('mcp-server')) {
const mcpServerIndex = serverPath.indexOf('mcp-server');
return mcpServerIndex !== -1
? serverPath.substring(0, mcpServerIndex - 1)
: process.cwd();
}
// Only use cwd if it's not "/"
log.error(`Error in getProjectRootFromSession: ${e.message}`);
// Attempt final fallback to CWD on error
const cwd = process.cwd();
return cwd !== '/' ? cwd : '/';
log.warn(
`Returning CWD (${cwd}) due to error during session root processing.`
);
return cwd;
}
}
@@ -474,6 +493,148 @@ function createLogWrapper(log) {
};
}
/**
* Resolves and normalizes a project root path from various formats.
* Handles URI encoding, Windows paths, and file protocols.
* @param {string | undefined | null} rawPath - The raw project root path.
* @param {object} [log] - Optional logger object.
* @returns {string | null} Normalized absolute path or null if input is invalid/empty.
*/
function normalizeProjectRoot(rawPath, log) {
if (!rawPath) return null;
try {
let pathString = Array.isArray(rawPath) ? rawPath[0] : String(rawPath);
if (!pathString) return null;
// 1. Decode URI Encoding
// Use try-catch for decoding as malformed URIs can throw
try {
pathString = decodeURIComponent(pathString);
} catch (decodeError) {
if (log)
log.warn(
`Could not decode URI component for path "${rawPath}": ${decodeError.message}. Proceeding with raw string.`
);
// Proceed with the original string if decoding fails
pathString = Array.isArray(rawPath) ? rawPath[0] : String(rawPath);
}
// 2. Strip file:// prefix (handle 2 or 3 slashes)
if (pathString.startsWith('file:///')) {
pathString = pathString.slice(7); // Slice 7 for file:///, may leave leading / on Windows
} else if (pathString.startsWith('file://')) {
pathString = pathString.slice(7); // Slice 7 for file://
}
// 3. Handle potential Windows leading slash after stripping prefix (e.g., /C:/...)
// This checks if it starts with / followed by a drive letter C: D: etc.
if (
pathString.startsWith('/') &&
/[A-Za-z]:/.test(pathString.substring(1, 3))
) {
pathString = pathString.substring(1); // Remove the leading slash
}
// 4. Normalize backslashes to forward slashes
pathString = pathString.replace(/\\/g, '/');
// 5. Resolve to absolute path using server's OS convention
const resolvedPath = path.resolve(pathString);
return resolvedPath;
} catch (error) {
if (log) {
log.error(
`Error normalizing project root path "${rawPath}": ${error.message}`
);
}
return null; // Return null on error
}
}
/**
* Extracts the raw project root path from the session (without normalization).
* Used as a fallback within the HOF.
* @param {Object} session - The MCP session object.
* @param {Object} log - The MCP logger object.
* @returns {string|null} The raw path string or null.
*/
function getRawProjectRootFromSession(session, log) {
try {
// Check primary location
if (session?.roots?.[0]?.uri) {
return session.roots[0].uri;
}
// Check alternate location
else if (session?.roots?.roots?.[0]?.uri) {
return session.roots.roots[0].uri;
}
return null; // Not found in expected session locations
} catch (e) {
log.error(`Error accessing session roots: ${e.message}`);
return null;
}
}
/**
* Higher-order function to wrap MCP tool execute methods.
* Ensures args.projectRoot is present and normalized before execution.
* @param {Function} executeFn - The original async execute(args, context) function.
* @returns {Function} The wrapped async execute function.
*/
function withNormalizedProjectRoot(executeFn) {
return async (args, context) => {
const { log, session } = context;
let normalizedRoot = null;
let rootSource = 'unknown';
try {
// Determine raw root: prioritize args, then session
let rawRoot = args.projectRoot;
if (!rawRoot) {
rawRoot = getRawProjectRootFromSession(session, log);
rootSource = 'session';
} else {
rootSource = 'args';
}
if (!rawRoot) {
log.error('Could not determine project root from args or session.');
return createErrorResponse(
'Could not determine project root. Please provide projectRoot argument or ensure session contains root info.'
);
}
// Normalize the determined raw root
normalizedRoot = normalizeProjectRoot(rawRoot, log);
if (!normalizedRoot) {
log.error(
`Failed to normalize project root obtained from ${rootSource}: ${rawRoot}`
);
return createErrorResponse(
`Invalid project root provided or derived from ${rootSource}: ${rawRoot}`
);
}
// Inject the normalized root back into args
const updatedArgs = { ...args, projectRoot: normalizedRoot };
// Execute the original function with normalized root in args
return await executeFn(updatedArgs, context);
} catch (error) {
log.error(
`Error within withNormalizedProjectRoot HOF (Normalized Root: ${normalizedRoot}): ${error.message}`
);
// Add stack trace if available and debug enabled
if (error.stack && log.debug) {
log.debug(error.stack);
}
// Return a generic error or re-throw depending on desired behavior
return createErrorResponse(`Operation failed: ${error.message}`);
}
};
}
// Ensure all functions are exported
export {
getProjectRoot,
@@ -484,5 +645,8 @@ export {
processMCPResponseData,
createContentResponse,
createErrorResponse,
createLogWrapper
createLogWrapper,
normalizeProjectRoot,
getRawProjectRootFromSession,
withNormalizedProjectRoot
};

View File

@@ -7,7 +7,7 @@ import { z } from 'zod';
import {
handleApiResult,
createErrorResponse,
getProjectRootFromSession
withNormalizedProjectRoot
} from './utils.js';
import { validateDependenciesDirect } from '../core/task-master-core.js';
import { findTasksJsonPath } from '../core/utils/path-utils.js';
@@ -27,24 +27,15 @@ export function registerValidateDependenciesTool(server) {
.string()
.describe('The directory of the project. Must be an absolute path.')
}),
execute: async (args, { log, session }) => {
execute: withNormalizedProjectRoot(async (args, { log, session }) => {
try {
log.info(`Validating dependencies with args: ${JSON.stringify(args)}`);
// Get project root from args or session
const rootFolder =
args.projectRoot || getProjectRootFromSession(session, log);
if (!rootFolder) {
return createErrorResponse(
'Could not determine project root. Please provide it explicitly or ensure your session contains valid root information.'
);
}
// Use args.projectRoot directly (guaranteed by withNormalizedProjectRoot)
let tasksJsonPath;
try {
tasksJsonPath = findTasksJsonPath(
{ projectRoot: rootFolder, file: args.file },
{ projectRoot: args.projectRoot, file: args.file },
log
);
} catch (error) {
@@ -74,6 +65,6 @@ export function registerValidateDependenciesTool(server) {
log.error(`Error in validateDependencies tool: ${error.message}`);
return createErrorResponse(error.message);
}
}
})
});
}

34
package-lock.json generated
View File

@@ -1,12 +1,12 @@
{
"name": "task-master-ai",
"version": "0.12.1",
"version": "0.13.2",
"lockfileVersion": 3,
"requires": true,
"packages": {
"": {
"name": "task-master-ai",
"version": "0.12.1",
"version": "0.13.2",
"license": "MIT WITH Commons-Clause",
"dependencies": {
"@ai-sdk/anthropic": "^1.2.10",
@@ -19,6 +19,9 @@
"@anthropic-ai/sdk": "^0.39.0",
"@openrouter/ai-sdk-provider": "^0.4.5",
"ai": "^4.3.10",
"boxen": "^8.0.1",
"chalk": "^5.4.1",
"cli-table3": "^0.6.5",
"commander": "^11.1.0",
"cors": "^2.8.5",
"dotenv": "^16.3.1",
@@ -34,7 +37,8 @@
"ollama-ai-provider": "^1.2.0",
"openai": "^4.89.0",
"ora": "^8.2.0",
"uuid": "^11.1.0"
"uuid": "^11.1.0",
"zod": "^3.23.8"
},
"bin": {
"task-master": "bin/task-master.js",
@@ -45,9 +49,6 @@
"@changesets/changelog-github": "^0.5.1",
"@changesets/cli": "^2.28.1",
"@types/jest": "^29.5.14",
"boxen": "^8.0.1",
"chalk": "^5.4.1",
"cli-table3": "^0.6.5",
"execa": "^8.0.1",
"ink": "^5.0.1",
"jest": "^29.7.0",
@@ -57,8 +58,7 @@
"prettier": "^3.5.3",
"react": "^18.3.1",
"supertest": "^7.1.0",
"tsx": "^4.16.2",
"zod": "^3.23.8"
"tsx": "^4.16.2"
},
"engines": {
"node": ">=14.0.0"
@@ -1238,7 +1238,6 @@
"version": "1.5.0",
"resolved": "https://registry.npmjs.org/@colors/colors/-/colors-1.5.0.tgz",
"integrity": "sha512-ooWCrlZP11i8GImSjTHYHLkvFDP48nS4+204nGb1RiX/WXYHmJA2III9/e2DWVabCESdW7hBAEzHRqUn9OUVvQ==",
"dev": true,
"license": "MIT",
"optional": true,
"engines": {
@@ -3307,7 +3306,6 @@
"version": "3.0.1",
"resolved": "https://registry.npmjs.org/ansi-align/-/ansi-align-3.0.1.tgz",
"integrity": "sha512-IOfwwBF5iczOjp/WeY4YxyjqAFMQoZufdQWDd19SEExbVLNXqvpzSJ/M7Za4/sCPmQ0+GRquoA7bGcINcxew6w==",
"dev": true,
"license": "ISC",
"dependencies": {
"string-width": "^4.1.0"
@@ -3317,7 +3315,6 @@
"version": "5.0.1",
"resolved": "https://registry.npmjs.org/ansi-regex/-/ansi-regex-5.0.1.tgz",
"integrity": "sha512-quJQXlTSUGL2LH9SUXo8VwsY4soanhgo6LNSm84E1LBcE8s3O0wpdiRzyR9z/ZZJMlMWv37qOOb9pdJlMUEKFQ==",
"dev": true,
"license": "MIT",
"engines": {
"node": ">=8"
@@ -3327,14 +3324,12 @@
"version": "8.0.0",
"resolved": "https://registry.npmjs.org/emoji-regex/-/emoji-regex-8.0.0.tgz",
"integrity": "sha512-MSjYzcWNOA0ewAHpz0MxpYFvwg6yjy1NG3xteoqz644VCo/RPgnr1/GGt+ic3iJTzQ8Eu3TdM14SawnVUmGE6A==",
"dev": true,
"license": "MIT"
},
"node_modules/ansi-align/node_modules/string-width": {
"version": "4.2.3",
"resolved": "https://registry.npmjs.org/string-width/-/string-width-4.2.3.tgz",
"integrity": "sha512-wKyQRQpjJ0sIp62ErSZdGsjMJWsap5oRNihHhu6G7JVO/9jIB6UyevL+tXuOqrng8j/cxKTWyWUwvSTriiZz/g==",
"dev": true,
"license": "MIT",
"dependencies": {
"emoji-regex": "^8.0.0",
@@ -3349,7 +3344,6 @@
"version": "6.0.1",
"resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-6.0.1.tgz",
"integrity": "sha512-Y38VPSHcqkFrCpFnQ9vuSXmquuv5oXOKpGeT6aGrr3o3Gc9AlVa6JBfUSOCnbxGGZF+/0ooI7KrPuUSztUdU5A==",
"dev": true,
"license": "MIT",
"dependencies": {
"ansi-regex": "^5.0.1"
@@ -3699,7 +3693,6 @@
"version": "8.0.1",
"resolved": "https://registry.npmjs.org/boxen/-/boxen-8.0.1.tgz",
"integrity": "sha512-F3PH5k5juxom4xktynS7MoFY+NUWH5LC4CnH11YB8NPew+HLpmBLCybSAEyb2F+4pRXhuhWqFesoQd6DAyc2hw==",
"dev": true,
"license": "MIT",
"dependencies": {
"ansi-align": "^3.0.1",
@@ -3850,7 +3843,6 @@
"version": "8.0.0",
"resolved": "https://registry.npmjs.org/camelcase/-/camelcase-8.0.0.tgz",
"integrity": "sha512-8WB3Jcas3swSvjIeA2yvCJ+Miyz5l1ZmB6HFb9R1317dt9LCQoswg/BGrmAmkWVEszSrrg4RwmO46qIm2OEnSA==",
"dev": true,
"license": "MIT",
"engines": {
"node": ">=16"
@@ -3935,7 +3927,6 @@
"version": "3.0.0",
"resolved": "https://registry.npmjs.org/cli-boxes/-/cli-boxes-3.0.0.tgz",
"integrity": "sha512-/lzGpEWL/8PfI0BmBOPRwp0c/wFNX1RdUML3jK/RcSBA9T8mZDdQpqYBKtCFTOfQbwPqWEOpjqW+Fnayc0969g==",
"dev": true,
"license": "MIT",
"engines": {
"node": ">=10"
@@ -3975,7 +3966,6 @@
"version": "0.6.5",
"resolved": "https://registry.npmjs.org/cli-table3/-/cli-table3-0.6.5.tgz",
"integrity": "sha512-+W/5efTR7y5HRD7gACw9yQjqMVvEMLBHmboM/kPWam+H+Hmyrgjh6YncVKK122YZkXrLudzTuAukUw9FnMf7IQ==",
"dev": true,
"license": "MIT",
"dependencies": {
"string-width": "^4.2.0"
@@ -3991,7 +3981,6 @@
"version": "5.0.1",
"resolved": "https://registry.npmjs.org/ansi-regex/-/ansi-regex-5.0.1.tgz",
"integrity": "sha512-quJQXlTSUGL2LH9SUXo8VwsY4soanhgo6LNSm84E1LBcE8s3O0wpdiRzyR9z/ZZJMlMWv37qOOb9pdJlMUEKFQ==",
"dev": true,
"license": "MIT",
"engines": {
"node": ">=8"
@@ -4001,14 +3990,12 @@
"version": "8.0.0",
"resolved": "https://registry.npmjs.org/emoji-regex/-/emoji-regex-8.0.0.tgz",
"integrity": "sha512-MSjYzcWNOA0ewAHpz0MxpYFvwg6yjy1NG3xteoqz644VCo/RPgnr1/GGt+ic3iJTzQ8Eu3TdM14SawnVUmGE6A==",
"dev": true,
"license": "MIT"
},
"node_modules/cli-table3/node_modules/string-width": {
"version": "4.2.3",
"resolved": "https://registry.npmjs.org/string-width/-/string-width-4.2.3.tgz",
"integrity": "sha512-wKyQRQpjJ0sIp62ErSZdGsjMJWsap5oRNihHhu6G7JVO/9jIB6UyevL+tXuOqrng8j/cxKTWyWUwvSTriiZz/g==",
"dev": true,
"license": "MIT",
"dependencies": {
"emoji-regex": "^8.0.0",
@@ -4023,7 +4010,6 @@
"version": "6.0.1",
"resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-6.0.1.tgz",
"integrity": "sha512-Y38VPSHcqkFrCpFnQ9vuSXmquuv5oXOKpGeT6aGrr3o3Gc9AlVa6JBfUSOCnbxGGZF+/0ooI7KrPuUSztUdU5A==",
"dev": true,
"license": "MIT",
"dependencies": {
"ansi-regex": "^5.0.1"
@@ -9488,7 +9474,6 @@
"version": "4.37.0",
"resolved": "https://registry.npmjs.org/type-fest/-/type-fest-4.37.0.tgz",
"integrity": "sha512-S/5/0kFftkq27FPNye0XM1e2NsnoD/3FS+pBmbjmmtLT6I+i344KoOf7pvXreaFsDamWeaJX55nczA1m5PsBDg==",
"dev": true,
"license": "(MIT OR CC0-1.0)",
"engines": {
"node": ">=16"
@@ -9698,7 +9683,6 @@
"version": "5.0.0",
"resolved": "https://registry.npmjs.org/widest-line/-/widest-line-5.0.0.tgz",
"integrity": "sha512-c9bZp7b5YtRj2wOe6dlj32MK+Bx/M/d+9VB2SHM1OtsUHR0aV0tdP6DWh/iMt0kWi1t5g1Iudu6hQRNd1A4PVA==",
"dev": true,
"license": "MIT",
"dependencies": {
"string-width": "^7.0.0"
@@ -9714,7 +9698,6 @@
"version": "9.0.0",
"resolved": "https://registry.npmjs.org/wrap-ansi/-/wrap-ansi-9.0.0.tgz",
"integrity": "sha512-G8ura3S+3Z2G+mkgNRq8dqaFZAuxfsxpBB8OCTGRTCtp+l/v9nbFNmCUP1BZMts3G1142MsZfn6eeUKrr4PD1Q==",
"dev": true,
"license": "MIT",
"dependencies": {
"ansi-styles": "^6.2.1",
@@ -9732,7 +9715,6 @@
"version": "6.2.1",
"resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-6.2.1.tgz",
"integrity": "sha512-bN798gFfQX+viw3R7yrGWRqnrN2oRkEkUjjl4JNn4E8GxxbjtG3FbrEIIY3l8/hrwUwIeCZvi4QuOTP4MErVug==",
"dev": true,
"license": "MIT",
"engines": {
"node": ">=12"

View File

@@ -1,6 +1,6 @@
{
"name": "task-master-ai",
"version": "0.12.1",
"version": "0.13.2",
"description": "A task management system for ambitious AI-driven development that doesn't overwhelm and confuse Cursor.",
"main": "index.js",
"type": "module",
@@ -64,7 +64,11 @@
"ollama-ai-provider": "^1.2.0",
"openai": "^4.89.0",
"ora": "^8.2.0",
"uuid": "^11.1.0"
"uuid": "^11.1.0",
"boxen": "^8.0.1",
"chalk": "^5.4.1",
"cli-table3": "^0.6.5",
"zod": "^3.23.8"
},
"engines": {
"node": ">=14.0.0"
@@ -78,15 +82,14 @@
"url": "https://github.com/eyaltoledano/claude-task-master/issues"
},
"files": [
"scripts/init.js",
"scripts/dev.js",
"scripts/modules/**",
"scripts/**",
"assets/**",
".cursor/**",
"README-task-master.md",
"index.js",
"bin/**",
"mcp-server/**"
"mcp-server/**",
"src/**"
],
"overrides": {
"node-fetch": "^3.3.2",
@@ -96,9 +99,6 @@
"@changesets/changelog-github": "^0.5.1",
"@changesets/cli": "^2.28.1",
"@types/jest": "^29.5.14",
"boxen": "^8.0.1",
"chalk": "^5.4.1",
"cli-table3": "^0.6.5",
"execa": "^8.0.1",
"ink": "^5.0.1",
"jest": "^29.7.0",
@@ -108,7 +108,6 @@
"prettier": "^3.5.3",
"react": "^18.3.1",
"supertest": "^7.1.0",
"tsx": "^4.16.2",
"zod": "^3.23.8"
"tsx": "^4.16.2"
}
}

View File

@@ -32,7 +32,7 @@ The script can be configured through environment variables in a `.env` file at t
- `PERPLEXITY_API_KEY`: Your Perplexity API key for research-backed subtask generation
- `PERPLEXITY_MODEL`: Specify which Perplexity model to use (default: "sonar-medium-online")
- `DEBUG`: Enable debug logging (default: false)
- `LOG_LEVEL`: Log level - debug, info, warn, error (default: info)
- `TASKMASTER_LOG_LEVEL`: Log level - debug, info, warn, error (default: info)
- `DEFAULT_SUBTASKS`: Default number of subtasks when expanding (default: 3)
- `DEFAULT_PRIORITY`: Default priority for generated tasks (default: medium)
- `PROJECT_NAME`: Override default project name in tasks.json
@@ -47,7 +47,7 @@ The script can be configured through environment variables in a `.env` file at t
- Tasks can have `subtasks` for more detailed implementation steps.
- Dependencies are displayed with status indicators (✅ for completed, ⏱️ for pending) to easily track progress.
2. **Script Commands**
2. **Script Commands**
You can run the script via:
```bash
@@ -225,7 +225,7 @@ To use the Perplexity integration:
## Logging
The script supports different logging levels controlled by the `LOG_LEVEL` environment variable:
The script supports different logging levels controlled by the `TASKMASTER_LOG_LEVEL` environment variable:
- `debug`: Detailed information, typically useful for troubleshooting
- `info`: Confirmation that things are working as expected (default)

View File

@@ -38,10 +38,10 @@ const LOG_LEVELS = {
success: 4
};
// Get log level from environment or default to info
const LOG_LEVEL = process.env.LOG_LEVEL
? LOG_LEVELS[process.env.LOG_LEVEL.toLowerCase()]
: LOG_LEVELS.info;
// Determine log level from environment variable or default to 'info'
const LOG_LEVEL = process.env.TASKMASTER_LOG_LEVEL
? LOG_LEVELS[process.env.TASKMASTER_LOG_LEVEL.toLowerCase()]
: LOG_LEVELS.info; // Default to info
// Create a color gradient for the banner
const coolGradient = gradient(['#00b4d8', '#0077b6', '#03045e']);
@@ -180,9 +180,9 @@ function copyTemplateFile(templateName, targetPath, replacements = {}) {
// Map template names to their actual source paths
switch (templateName) {
case 'scripts_README.md':
sourcePath = path.join(__dirname, '..', 'assets', 'scripts_README.md');
break;
// case 'scripts_README.md':
// sourcePath = path.join(__dirname, '..', 'assets', 'scripts_README.md');
// break;
case 'dev_workflow.mdc':
sourcePath = path.join(
__dirname,
@@ -219,8 +219,8 @@ function copyTemplateFile(templateName, targetPath, replacements = {}) {
'self_improve.mdc'
);
break;
case 'README-task-master.md':
sourcePath = path.join(__dirname, '..', 'README-task-master.md');
// case 'README-task-master.md':
// sourcePath = path.join(__dirname, '..', 'README-task-master.md');
break;
case 'windsurfrules':
sourcePath = path.join(__dirname, '..', 'assets', '.windsurfrules');
@@ -351,18 +351,18 @@ async function initializeProject(options = {}) {
}
// Debug logging only if not in silent mode
if (!isSilentMode()) {
console.log('===== DEBUG: INITIALIZE PROJECT OPTIONS RECEIVED =====');
console.log('Full options object:', JSON.stringify(options));
console.log('options.yes:', options.yes);
console.log('==================================================');
}
// if (!isSilentMode()) {
// console.log('===== DEBUG: INITIALIZE PROJECT OPTIONS RECEIVED =====');
// console.log('Full options object:', JSON.stringify(options));
// console.log('options.yes:', options.yes);
// console.log('==================================================');
// }
const skipPrompts = options.yes || (options.name && options.description);
if (!isSilentMode()) {
console.log('Skip prompts determined:', skipPrompts);
}
// if (!isSilentMode()) {
// console.log('Skip prompts determined:', skipPrompts);
// }
if (skipPrompts) {
if (!isSilentMode()) {
@@ -565,12 +565,12 @@ function createProjectStructure(addAliases, dryRun) {
path.join(targetDir, 'scripts', 'example_prd.txt')
);
// Create main README.md
copyTemplateFile(
'README-task-master.md',
path.join(targetDir, 'README-task-master.md'),
replacements
);
// // Create main README.md
// copyTemplateFile(
// 'README-task-master.md',
// path.join(targetDir, 'README-task-master.md'),
// replacements
// );
// Initialize git repository if git is available
try {
@@ -761,21 +761,22 @@ function setupMCPConfiguration(targetDir) {
const newMCPServer = {
'task-master-ai': {
command: 'npx',
args: ['-y', 'task-master-mcp'],
args: ['-y', '--package=task-master-ai', 'task-master-ai'],
env: {
ANTHROPIC_API_KEY: 'YOUR_ANTHROPIC_API_KEY',
PERPLEXITY_API_KEY: 'YOUR_PERPLEXITY_API_KEY',
MODEL: 'claude-3-7-sonnet-20250219',
PERPLEXITY_MODEL: 'sonar-pro',
MAX_TOKENS: '64000',
TEMPERATURE: '0.2',
DEFAULT_SUBTASKS: '5',
DEFAULT_PRIORITY: 'medium'
ANTHROPIC_API_KEY: 'ANTHROPIC_API_KEY_HERE',
PERPLEXITY_API_KEY: 'PERPLEXITY_API_KEY_HERE',
OPENAI_API_KEY: 'OPENAI_API_KEY_HERE',
GOOGLE_API_KEY: 'GOOGLE_API_KEY_HERE',
XAI_API_KEY: 'XAI_API_KEY_HERE',
OPENROUTER_API_KEY: 'OPENROUTER_API_KEY_HERE',
MISTRAL_API_KEY: 'MISTRAL_API_KEY_HERE',
AZURE_OPENAI_API_KEY: 'AZURE_OPENAI_API_KEY_HERE',
OLLAMA_API_KEY: 'OLLAMA_API_KEY_HERE'
}
}
};
// Check if mcp.json already exists
// Check if mcp.json already existsimage.png
if (fs.existsSync(mcpJsonPath)) {
log(
'info',
@@ -795,14 +796,14 @@ function setupMCPConfiguration(targetDir) {
(server) =>
server.args &&
server.args.some(
(arg) => typeof arg === 'string' && arg.includes('task-master-mcp')
(arg) => typeof arg === 'string' && arg.includes('task-master-ai')
)
);
if (hasMCPString) {
log(
'info',
'Found existing task-master-mcp configuration in mcp.json, leaving untouched'
'Found existing task-master-ai MCP configuration in mcp.json, leaving untouched'
);
return; // Exit early, don't modify the existing configuration
}

View File

@@ -14,7 +14,8 @@ import {
getResearchModelId,
getFallbackProvider,
getFallbackModelId,
getParametersForRole
getParametersForRole,
getBaseUrlForRole
} from './config-manager.js';
import { log, resolveEnvVariable, findProjectRoot } from './utils.js';
@@ -284,7 +285,13 @@ async function _unifiedServiceRunner(serviceType, params) {
'AI service call failed for all configured roles.';
for (const currentRole of sequence) {
let providerName, modelId, apiKey, roleParams, providerFnSet, providerApiFn;
let providerName,
modelId,
apiKey,
roleParams,
providerFnSet,
providerApiFn,
baseUrl;
try {
log('info', `New AI service call with role: ${currentRole}`);
@@ -325,6 +332,7 @@ async function _unifiedServiceRunner(serviceType, params) {
// Pass effectiveProjectRoot to getParametersForRole
roleParams = getParametersForRole(currentRole, effectiveProjectRoot);
baseUrl = getBaseUrlForRole(currentRole, effectiveProjectRoot);
// 2. Get Provider Function Set
providerFnSet = PROVIDER_FUNCTIONS[providerName?.toLowerCase()];
@@ -401,6 +409,7 @@ async function _unifiedServiceRunner(serviceType, params) {
maxTokens: roleParams.maxTokens,
temperature: roleParams.temperature,
messages,
baseUrl,
...(serviceType === 'generateObject' && { schema, objectName }),
...restApiParams
};

View File

@@ -10,6 +10,7 @@ import boxen from 'boxen';
import fs from 'fs';
import https from 'https';
import inquirer from 'inquirer';
import ora from 'ora'; // Import ora
import { log, readJSON } from './utils.js';
import {
@@ -72,7 +73,11 @@ import {
getApiKeyStatusReport
} from './task-manager/models.js';
import { findProjectRoot } from './utils.js';
import {
isValidTaskStatus,
TASK_STATUS_OPTIONS
} from '../../src/constants/task-status.js';
import { getTaskMasterVersion } from '../../src/utils/getVersion.js';
/**
* Runs the interactive setup process for model configuration.
* @param {string|null} projectRoot - The resolved project root directory.
@@ -485,11 +490,6 @@ function registerCommands(programInstance) {
process.exit(1);
});
// Default help
programInstance.on('--help', function () {
displayHelp();
});
// parse-prd command
programInstance
.command('parse-prd')
@@ -514,80 +514,111 @@ function registerCommands(programInstance) {
const outputPath = options.output;
const force = options.force || false;
const append = options.append || false;
let useForce = force;
let useAppend = false;
// Helper function to check if tasks.json exists and confirm overwrite
async function confirmOverwriteIfNeeded() {
if (fs.existsSync(outputPath) && !force && !append) {
const shouldContinue = await confirmTaskOverwrite(outputPath);
if (!shouldContinue) {
console.log(chalk.yellow('Operation cancelled by user.'));
if (fs.existsSync(outputPath) && !useForce && !useAppend) {
const overwrite = await confirmTaskOverwrite(outputPath);
if (!overwrite) {
log('info', 'Operation cancelled.');
return false;
}
// If user confirms 'y', we should set useForce = true for the parsePRD call
// Only overwrite if not appending
useForce = true;
}
return true;
}
// If no input file specified, check for default PRD location
if (!inputFile) {
if (fs.existsSync(defaultPrdPath)) {
console.log(chalk.blue(`Using default PRD file: ${defaultPrdPath}`));
let spinner;
// Check for existing tasks.json before proceeding
if (!(await confirmOverwriteIfNeeded())) return;
try {
if (!inputFile) {
if (fs.existsSync(defaultPrdPath)) {
console.log(
chalk.blue(`Using default PRD file path: ${defaultPrdPath}`)
);
if (!(await confirmOverwriteIfNeeded())) return;
console.log(chalk.blue(`Generating ${numTasks} tasks...`));
await parsePRD(defaultPrdPath, outputPath, numTasks, { append });
console.log(chalk.blue(`Generating ${numTasks} tasks...`));
spinner = ora('Parsing PRD and generating tasks...').start();
await parsePRD(defaultPrdPath, outputPath, numTasks, {
useAppend,
useForce
});
spinner.succeed('Tasks generated successfully!');
return;
}
console.log(
chalk.yellow(
'No PRD file specified and default PRD file not found at scripts/prd.txt.'
)
);
console.log(
boxen(
chalk.white.bold('Parse PRD Help') +
'\n\n' +
chalk.cyan('Usage:') +
'\n' +
` task-master parse-prd <prd-file.txt> [options]\n\n` +
chalk.cyan('Options:') +
'\n' +
' -i, --input <file> Path to the PRD file (alternative to positional argument)\n' +
' -o, --output <file> Output file path (default: "tasks/tasks.json")\n' +
' -n, --num-tasks <number> Number of tasks to generate (default: 10)\n' +
' -f, --force Skip confirmation when overwriting existing tasks\n' +
' --append Append new tasks to existing tasks.json instead of overwriting\n\n' +
chalk.cyan('Example:') +
'\n' +
' task-master parse-prd requirements.txt --num-tasks 15\n' +
' task-master parse-prd --input=requirements.txt\n' +
' task-master parse-prd --force\n' +
' task-master parse-prd requirements_v2.txt --append\n\n' +
chalk.yellow('Note: This command will:') +
'\n' +
' 1. Look for a PRD file at scripts/prd.txt by default\n' +
' 2. Use the file specified by --input or positional argument if provided\n' +
' 3. Generate tasks from the PRD and either:\n' +
' - Overwrite any existing tasks.json file (default)\n' +
' - Append to existing tasks.json if --append is used',
{ padding: 1, borderColor: 'blue', borderStyle: 'round' }
)
);
return;
}
console.log(
chalk.yellow(
'No PRD file specified and default PRD file not found at scripts/prd.txt.'
)
);
console.log(
boxen(
chalk.white.bold('Parse PRD Help') +
'\n\n' +
chalk.cyan('Usage:') +
'\n' +
` task-master parse-prd <prd-file.txt> [options]\n\n` +
chalk.cyan('Options:') +
'\n' +
' -i, --input <file> Path to the PRD file (alternative to positional argument)\n' +
' -o, --output <file> Output file path (default: "tasks/tasks.json")\n' +
' -n, --num-tasks <number> Number of tasks to generate (default: 10)\n' +
' -f, --force Skip confirmation when overwriting existing tasks\n' +
' --append Append new tasks to existing tasks.json instead of overwriting\n\n' +
chalk.cyan('Example:') +
'\n' +
' task-master parse-prd requirements.txt --num-tasks 15\n' +
' task-master parse-prd --input=requirements.txt\n' +
' task-master parse-prd --force\n' +
' task-master parse-prd requirements_v2.txt --append\n\n' +
chalk.yellow('Note: This command will:') +
'\n' +
' 1. Look for a PRD file at scripts/prd.txt by default\n' +
' 2. Use the file specified by --input or positional argument if provided\n' +
' 3. Generate tasks from the PRD and either:\n' +
' - Overwrite any existing tasks.json file (default)\n' +
' - Append to existing tasks.json if --append is used',
{ padding: 1, borderColor: 'blue', borderStyle: 'round' }
)
);
return;
if (!fs.existsSync(inputFile)) {
console.error(
chalk.red(`Error: Input PRD file not found: ${inputFile}`)
);
process.exit(1);
}
if (!(await confirmOverwriteIfNeeded())) return;
console.log(chalk.blue(`Parsing PRD file: ${inputFile}`));
console.log(chalk.blue(`Generating ${numTasks} tasks...`));
if (append) {
console.log(chalk.blue('Appending to existing tasks...'));
}
spinner = ora('Parsing PRD and generating tasks...').start();
await parsePRD(inputFile, outputPath, numTasks, {
append: useAppend,
useForce
});
spinner.succeed('Tasks generated successfully!');
} catch (error) {
if (spinner) {
spinner.fail(`Error parsing PRD: ${error.message}`);
} else {
console.error(chalk.red(`Error parsing PRD: ${error.message}`));
}
process.exit(1);
}
// Check for existing tasks.json before proceeding with specified input file
if (!(await confirmOverwriteIfNeeded())) return;
console.log(chalk.blue(`Parsing PRD file: ${inputFile}`));
console.log(chalk.blue(`Generating ${numTasks} tasks...`));
if (append) {
console.log(chalk.blue('Appending to existing tasks...'));
}
await parsePRD(inputFile, outputPath, numTasks, { append });
});
// update command
@@ -1006,7 +1037,7 @@ function registerCommands(programInstance) {
)
.option(
'-s, --status <status>',
'New status (todo, in-progress, review, done)'
`New status (one of: ${TASK_STATUS_OPTIONS.join(', ')})`
)
.option('-f, --file <file>', 'Path to the tasks file', 'tasks/tasks.json')
.action(async (options) => {
@@ -1019,6 +1050,16 @@ function registerCommands(programInstance) {
process.exit(1);
}
if (!isValidTaskStatus(status)) {
console.error(
chalk.red(
`Error: Invalid status value: ${status}. Use one of: ${TASK_STATUS_OPTIONS.join(', ')}`
)
);
process.exit(1);
}
console.log(
chalk.blue(`Setting status of task(s) ${taskId} to: ${status}`)
);
@@ -1246,10 +1287,6 @@ function registerCommands(programInstance) {
'--details <details>',
'Implementation details (for manual task creation)'
)
.option(
'--test-strategy <testStrategy>',
'Test strategy (for manual task creation)'
)
.option(
'--dependencies <dependencies>',
'Comma-separated list of task IDs this task depends on'
@@ -1631,6 +1668,7 @@ function registerCommands(programInstance) {
}
} catch (error) {
console.error(chalk.red(`Error: ${error.message}`));
showAddSubtaskHelp();
process.exit(1);
}
})
@@ -2334,14 +2372,7 @@ function setupCLI() {
return 'unknown'; // Default fallback if package.json fails
})
.helpOption('-h, --help', 'Display help')
.addHelpCommand(false) // Disable default help command
.on('--help', () => {
displayHelp(); // Use your custom help display instead
})
.on('-h', () => {
displayHelp();
process.exit(0);
});
.addHelpCommand(false); // Disable default help command
// Modify the help option to use your custom display
programInstance.helpInformation = () => {
@@ -2361,28 +2392,7 @@ function setupCLI() {
*/
async function checkForUpdate() {
// Get current version from package.json ONLY
let currentVersion = 'unknown'; // Initialize with a default
try {
// Try to get the version from the installed package (if applicable) or current dir
let packageJsonPath = path.join(
process.cwd(),
'node_modules',
'task-master-ai',
'package.json'
);
// Fallback to current directory package.json if not found in node_modules
if (!fs.existsSync(packageJsonPath)) {
packageJsonPath = path.join(process.cwd(), 'package.json');
}
if (fs.existsSync(packageJsonPath)) {
const packageJson = JSON.parse(fs.readFileSync(packageJsonPath, 'utf8'));
currentVersion = packageJson.version;
}
} catch (error) {
// Silently fail and use default
log('debug', `Error reading current package version: ${error.message}`);
}
const currentVersion = getTaskMasterVersion();
return new Promise((resolve) => {
// Get the latest version from npm registry

View File

@@ -677,6 +677,13 @@ function getAllProviders() {
return Object.keys(MODEL_MAP || {});
}
function getBaseUrlForRole(role, explicitRoot = null) {
const roleConfig = getModelConfigForRole(role, explicitRoot);
return roleConfig && typeof roleConfig.baseUrl === 'string'
? roleConfig.baseUrl
: undefined;
}
export {
// Core config access
getConfig,
@@ -704,6 +711,7 @@ export {
getFallbackModelId,
getFallbackMaxTokens,
getFallbackTemperature,
getBaseUrlForRole,
// Global setting getters (No env var overrides)
getLogLevel,

View File

@@ -195,7 +195,7 @@ async function addDependency(tasksPath, taskId, dependencyId) {
}
// Generate updated task files
await generateTaskFiles(tasksPath, 'tasks');
await generateTaskFiles(tasksPath, path.dirname(tasksPath));
log('info', 'Task files regenerated with updated dependencies.');
} else {
@@ -334,7 +334,7 @@ async function removeDependency(tasksPath, taskId, dependencyId) {
}
// Regenerate task files
await generateTaskFiles(tasksPath, 'tasks');
await generateTaskFiles(tasksPath, path.dirname(tasksPath));
}
/**

View File

@@ -13,20 +13,6 @@
"cost_per_1m_tokens": { "input": 3.0, "output": 15.0 },
"allowed_roles": ["main", "fallback"],
"max_tokens": 64000
},
{
"id": "claude-3-5-haiku-20241022",
"swe_score": 0.406,
"cost_per_1m_tokens": { "input": 0.8, "output": 4.0 },
"allowed_roles": ["main", "fallback"],
"max_tokens": 64000
},
{
"id": "claude-3-opus-20240229",
"swe_score": 0,
"cost_per_1m_tokens": { "input": 15, "output": 75 },
"allowed_roles": ["main", "fallback"],
"max_tokens": 64000
}
],
"openai": [
@@ -41,7 +27,7 @@
"id": "o1",
"swe_score": 0.489,
"cost_per_1m_tokens": { "input": 15.0, "output": 60.0 },
"allowed_roles": ["main", "fallback"]
"allowed_roles": ["main"]
},
{
"id": "o3",
@@ -53,7 +39,7 @@
"id": "o3-mini",
"swe_score": 0.493,
"cost_per_1m_tokens": { "input": 1.1, "output": 4.4 },
"allowed_roles": ["main", "fallback"],
"allowed_roles": ["main"],
"max_tokens": 100000
},
{
@@ -66,49 +52,49 @@
"id": "o1-mini",
"swe_score": 0.4,
"cost_per_1m_tokens": { "input": 1.1, "output": 4.4 },
"allowed_roles": ["main", "fallback"]
"allowed_roles": ["main"]
},
{
"id": "o1-pro",
"swe_score": 0,
"cost_per_1m_tokens": { "input": 150.0, "output": 600.0 },
"allowed_roles": ["main", "fallback"]
"allowed_roles": ["main"]
},
{
"id": "gpt-4-5-preview",
"swe_score": 0.38,
"cost_per_1m_tokens": { "input": 75.0, "output": 150.0 },
"allowed_roles": ["main", "fallback"]
"allowed_roles": ["main"]
},
{
"id": "gpt-4-1-mini",
"swe_score": 0,
"cost_per_1m_tokens": { "input": 0.4, "output": 1.6 },
"allowed_roles": ["main", "fallback"]
"allowed_roles": ["main"]
},
{
"id": "gpt-4-1-nano",
"swe_score": 0,
"cost_per_1m_tokens": { "input": 0.1, "output": 0.4 },
"allowed_roles": ["main", "fallback"]
"allowed_roles": ["main"]
},
{
"id": "gpt-4o-mini",
"swe_score": 0.3,
"cost_per_1m_tokens": { "input": 0.15, "output": 0.6 },
"allowed_roles": ["main", "fallback"]
"allowed_roles": ["main"]
},
{
"id": "gpt-4o-search-preview",
"swe_score": 0.33,
"cost_per_1m_tokens": { "input": 2.5, "output": 10.0 },
"allowed_roles": ["main", "fallback", "research"]
"allowed_roles": ["research"]
},
{
"id": "gpt-4o-mini-search-preview",
"swe_score": 0.3,
"cost_per_1m_tokens": { "input": 0.15, "output": 0.6 },
"allowed_roles": ["main", "fallback", "research"]
"allowed_roles": ["research"]
}
],
"google": [
@@ -189,14 +175,6 @@
"allowed_roles": ["main", "fallback", "research"],
"max_tokens": 131072
},
{
"id": "grok-3-mini",
"name": "Grok 3 Mini",
"swe_score": 0,
"cost_per_1m_tokens": { "input": 0.3, "output": 0.5 },
"allowed_roles": ["main", "fallback", "research"],
"max_tokens": 131072
},
{
"id": "grok-3-fast",
"name": "Grok 3 Fast",
@@ -204,13 +182,6 @@
"cost_per_1m_tokens": { "input": 5, "output": 25 },
"allowed_roles": ["main", "fallback", "research"],
"max_tokens": 131072
},
{
"id": "grok-3-mini-fast",
"swe_score": 0,
"cost_per_1m_tokens": { "input": 0.6, "output": 4 },
"allowed_roles": ["main", "fallback", "research"],
"max_tokens": 131072
}
],
"ollama": [
@@ -283,7 +254,7 @@
"id": "deepseek/deepseek-chat-v3-0324",
"swe_score": 0,
"cost_per_1m_tokens": { "input": 0.27, "output": 1.1 },
"allowed_roles": ["main", "fallback"],
"allowed_roles": ["main"],
"max_tokens": 64000
},
{
@@ -312,14 +283,14 @@
"id": "google/gemini-2.5-flash-preview",
"swe_score": 0,
"cost_per_1m_tokens": { "input": 0.15, "output": 0.6 },
"allowed_roles": ["main", "fallback"],
"allowed_roles": ["main"],
"max_tokens": 65535
},
{
"id": "google/gemini-2.5-flash-preview:thinking",
"swe_score": 0,
"cost_per_1m_tokens": { "input": 0.15, "output": 3.5 },
"allowed_roles": ["main", "fallback"],
"allowed_roles": ["main"],
"max_tokens": 65535
},
{

View File

@@ -3,7 +3,7 @@ import chalk from 'chalk';
import boxen from 'boxen';
import Table from 'cli-table3';
import { log, readJSON, writeJSON, truncate } from '../utils.js';
import { log, readJSON, writeJSON, truncate, isSilentMode } from '../utils.js';
import { displayBanner } from '../ui.js';
import generateTaskFiles from './generate-task-files.js';
@@ -22,14 +22,16 @@ function clearSubtasks(tasksPath, taskIds) {
process.exit(1);
}
console.log(
boxen(chalk.white.bold('Clearing Subtasks'), {
padding: 1,
borderColor: 'blue',
borderStyle: 'round',
margin: { top: 1, bottom: 1 }
})
);
if (!isSilentMode()) {
console.log(
boxen(chalk.white.bold('Clearing Subtasks'), {
padding: 1,
borderColor: 'blue',
borderStyle: 'round',
margin: { top: 1, bottom: 1 }
})
);
}
// Handle multiple task IDs (comma-separated)
const taskIdArray = taskIds.split(',').map((id) => id.trim());
@@ -85,59 +87,65 @@ function clearSubtasks(tasksPath, taskIds) {
writeJSON(tasksPath, data);
// Show summary table
console.log(
boxen(chalk.white.bold('Subtask Clearing Summary:'), {
padding: { left: 2, right: 2, top: 0, bottom: 0 },
margin: { top: 1, bottom: 0 },
borderColor: 'blue',
borderStyle: 'round'
})
);
console.log(summaryTable.toString());
if (!isSilentMode()) {
console.log(
boxen(chalk.white.bold('Subtask Clearing Summary:'), {
padding: { left: 2, right: 2, top: 0, bottom: 0 },
margin: { top: 1, bottom: 0 },
borderColor: 'blue',
borderStyle: 'round'
})
);
console.log(summaryTable.toString());
}
// Regenerate task files to reflect changes
log('info', 'Regenerating task files...');
generateTaskFiles(tasksPath, path.dirname(tasksPath));
// Success message
console.log(
boxen(
chalk.green(
`Successfully cleared subtasks from ${chalk.bold(clearedCount)} task(s)`
),
{
padding: 1,
borderColor: 'green',
borderStyle: 'round',
margin: { top: 1 }
}
)
);
if (!isSilentMode()) {
console.log(
boxen(
chalk.green(
`Successfully cleared subtasks from ${chalk.bold(clearedCount)} task(s)`
),
{
padding: 1,
borderColor: 'green',
borderStyle: 'round',
margin: { top: 1 }
}
)
);
// Next steps suggestion
console.log(
boxen(
chalk.white.bold('Next Steps:') +
'\n\n' +
`${chalk.cyan('1.')} Run ${chalk.yellow('task-master expand --id=<id>')} to generate new subtasks\n` +
`${chalk.cyan('2.')} Run ${chalk.yellow('task-master list --with-subtasks')} to verify changes`,
{
// Next steps suggestion
console.log(
boxen(
chalk.white.bold('Next Steps:') +
'\n\n' +
`${chalk.cyan('1.')} Run ${chalk.yellow('task-master expand --id=<id>')} to generate new subtasks\n` +
`${chalk.cyan('2.')} Run ${chalk.yellow('task-master list --with-subtasks')} to verify changes`,
{
padding: 1,
borderColor: 'cyan',
borderStyle: 'round',
margin: { top: 1 }
}
)
);
}
} else {
if (!isSilentMode()) {
console.log(
boxen(chalk.yellow('No subtasks were cleared'), {
padding: 1,
borderColor: 'cyan',
borderColor: 'yellow',
borderStyle: 'round',
margin: { top: 1 }
}
)
);
} else {
console.log(
boxen(chalk.yellow('No subtasks were cleared'), {
padding: 1,
borderColor: 'yellow',
borderStyle: 'round',
margin: { top: 1 }
})
);
})
);
}
}
}

View File

@@ -8,6 +8,10 @@ import { validateTaskDependencies } from '../dependency-manager.js';
import { getDebugFlag } from '../config-manager.js';
import updateSingleTaskStatus from './update-single-task-status.js';
import generateTaskFiles from './generate-task-files.js';
import {
isValidTaskStatus,
TASK_STATUS_OPTIONS
} from '../../../src/constants/task-status.js';
/**
* Set the status of a task
@@ -19,6 +23,11 @@ import generateTaskFiles from './generate-task-files.js';
*/
async function setTaskStatus(tasksPath, taskIdInput, newStatus, options = {}) {
try {
if (!isValidTaskStatus(newStatus)) {
throw new Error(
`Error: Invalid status value: ${newStatus}. Use one of: ${TASK_STATUS_OPTIONS.join(', ')}`
);
}
// Determine if we're in MCP mode by checking for mcpLog
const isMcpMode = !!options?.mcpLog;

View File

@@ -1,6 +1,7 @@
import chalk from 'chalk';
import { log } from '../utils.js';
import { isValidTaskStatus } from '../../../src/constants/task-status.js';
/**
* Update the status of a single task
@@ -17,6 +18,12 @@ async function updateSingleTaskStatus(
data,
showUi = true
) {
if (!isValidTaskStatus(newStatus)) {
throw new Error(
`Error: Invalid status value: ${newStatus}. Use one of: ${TASK_STATUS_OPTIONS.join(', ')}`
);
}
// Check if it's a subtask (e.g., "1.2")
if (taskIdInput.includes('.')) {
const [parentId, subtaskId] = taskIdInput

View File

@@ -3,6 +3,7 @@ import path from 'path';
import chalk from 'chalk';
import boxen from 'boxen';
import Table from 'cli-table3';
import { z } from 'zod';
import {
getStatusWithColor,
@@ -16,7 +17,10 @@ import {
truncate,
isSilentMode
} from '../utils.js';
import { generateTextService } from '../ai-services-unified.js';
import {
generateObjectService,
generateTextService
} from '../ai-services-unified.js';
import { getDebugFlag } from '../config-manager.js';
import generateTaskFiles from './generate-task-files.js';
@@ -131,6 +135,17 @@ async function updateSubtaskById(
const subtask = parentTask.subtasks[subtaskIndex];
const subtaskSchema = z.object({
id: z.number().int().positive(),
title: z.string(),
description: z.string().optional(),
status: z.string(),
dependencies: z.array(z.union([z.string(), z.number()])).optional(),
priority: z.string().optional(),
details: z.string().optional(),
testStrategy: z.string().optional()
});
// Only show UI elements for text output (CLI)
if (outputFormat === 'text') {
// Show the subtask that will be updated
@@ -168,101 +183,155 @@ async function updateSubtaskById(
);
}
let additionalInformation = '';
let parsedAIResponse;
try {
// Build Prompts
const systemPrompt = `You are an AI assistant helping to update a software development subtask. Your goal is to APPEND new information to the existing details, not replace them. Add a timestamp.
// --- GET PARENT & SIBLING CONTEXT ---
const parentContext = {
id: parentTask.id,
title: parentTask.title
// Avoid sending full parent description/details unless necessary
};
const prevSubtask =
subtaskIndex > 0
? {
id: `${parentTask.id}.${parentTask.subtasks[subtaskIndex - 1].id}`,
title: parentTask.subtasks[subtaskIndex - 1].title,
status: parentTask.subtasks[subtaskIndex - 1].status
}
: null;
const nextSubtask =
subtaskIndex < parentTask.subtasks.length - 1
? {
id: `${parentTask.id}.${parentTask.subtasks[subtaskIndex + 1].id}`,
title: parentTask.subtasks[subtaskIndex + 1].title,
status: parentTask.subtasks[subtaskIndex + 1].status
}
: null;
const contextString = `
Parent Task: ${JSON.stringify(parentContext)}
${prevSubtask ? `Previous Subtask: ${JSON.stringify(prevSubtask)}` : ''}
${nextSubtask ? `Next Subtask: ${JSON.stringify(nextSubtask)}` : ''}
`;
const systemPrompt = `You are an AI assistant updating a parent task's subtask. This subtask will be part of a larger parent task and will be used to direct AI agents to complete the subtask. Your goal is to GENERATE new, relevant information based on the user's request (which may be high-level, mid-level or low-level) and APPEND it to the existing subtask 'details' field, wrapped in specific XML-like tags with an ISO 8601 timestamp. Intelligently determine the level of detail to include based on the user's request. Some requests are meant simply to update the subtask with some mid-implementation details, while others are meant to update the subtask with a detailed plan or strategy.
Context Provided:
- The current subtask object.
- Basic info about the parent task (ID, title).
- Basic info about the immediately preceding subtask (ID, title, status), if it exists.
- Basic info about the immediately succeeding subtask (ID, title, status), if it exists.
- A user request string.
Guidelines:
1. Identify the existing 'details' field in the subtask JSON.
2. Create a new timestamp string in the format: '[YYYY-MM-DD HH:MM:SS]'.
3. Append the new timestamp and the information from the user prompt to the *end* of the existing 'details' field.
4. Ensure the final 'details' field is a single, coherent string with the new information added.
5. Return the *entire* subtask object as a valid JSON, including the updated 'details' field and all other original fields (id, title, status, dependencies, etc.).`;
1. Analyze the user request considering the provided subtask details AND the context of the parent and sibling tasks.
2. GENERATE new, relevant text content that should be added to the 'details' field. Focus *only* on the substance of the update based on the user request and context. Do NOT add timestamps or any special formatting yourself. Avoid over-engineering the details, provide .
3. Update the 'details' field in the subtask object with the GENERATED text content. It's okay if this overwrites previous details in the object you return, as the calling code will handle the final appending.
4. Return the *entire* updated subtask object (with your generated content in the 'details' field) as a valid JSON object conforming to the provided schema. Do NOT return explanations or markdown formatting.`;
const subtaskDataString = JSON.stringify(subtask, null, 2);
const userPrompt = `Here is the subtask to update:\n${subtaskDataString}\n\nPlease APPEND the following information to the 'details' field, preceded by a timestamp:\n${prompt}\n\nReturn only the updated subtask as a single, valid JSON object.`;
// Updated user prompt including context
const userPrompt = `Task Context:\n${contextString}\nCurrent Subtask:\n${subtaskDataString}\n\nUser Request: "${prompt}"\n\nPlease GENERATE new, relevant text content for the 'details' field based on the user request and the provided context. Return the entire updated subtask object as a valid JSON object matching the schema, with the newly generated text placed in the 'details' field.`;
// --- END UPDATED PROMPTS ---
// Call Unified AI Service
// Call Unified AI Service using generateObjectService
const role = useResearch ? 'research' : 'main';
report('info', `Using AI service with role: ${role}`);
report('info', `Using AI object service with role: ${role}`);
const responseText = await generateTextService({
parsedAIResponse = await generateObjectService({
prompt: userPrompt,
systemPrompt: systemPrompt,
schema: subtaskSchema,
objectName: 'updatedSubtask',
role,
session,
projectRoot
projectRoot,
maxRetries: 2
});
report('success', 'Successfully received text response from AI service');
report(
'success',
'Successfully received object response from AI service'
);
if (outputFormat === 'text' && loadingIndicator) {
// Stop indicator immediately since generateText is blocking
stopLoadingIndicator(loadingIndicator);
loadingIndicator = null;
}
// Assign the result directly (generateTextService returns the text string)
additionalInformation = responseText ? responseText.trim() : '';
if (!additionalInformation) {
throw new Error('AI returned empty response.'); // Changed error message slightly
if (!parsedAIResponse || typeof parsedAIResponse !== 'object') {
throw new Error('AI did not return a valid object.');
}
report(
// Corrected log message to reflect generateText
'success',
`Successfully generated text using AI role: ${role}.`
`Successfully generated object using AI role: ${role}.`
);
} catch (aiError) {
report('error', `AI service call failed: ${aiError.message}`);
if (outputFormat === 'text' && loadingIndicator) {
stopLoadingIndicator(loadingIndicator); // Ensure stop on error
loadingIndicator = null;
}
throw aiError;
} // Removed the inner finally block as streamingInterval is gone
}
const currentDate = new Date();
// --- TIMESTAMP & FORMATTING LOGIC (Handled Locally) ---
// Extract only the generated content from the AI's response details field.
const generatedContent = parsedAIResponse.details || ''; // Default to empty string
// Format the additional information with timestamp
const formattedInformation = `\n\n<info added on ${currentDate.toISOString()}>\n${additionalInformation}\n</info added on ${currentDate.toISOString()}>`;
if (generatedContent.trim()) {
// Generate timestamp locally
const timestamp = new Date().toISOString(); // <<< Local Timestamp
// Format the content with XML-like tags and timestamp LOCALLY
const formattedBlock = `<info added on ${timestamp}>\n${generatedContent.trim()}\n</info added on ${timestamp}>`; // <<< Local Formatting
// Append the formatted block to the *original* subtask details
subtask.details =
(subtask.details ? subtask.details + '\n' : '') + formattedBlock; // <<< Local Appending
report(
'info',
'Appended timestamped, formatted block with AI-generated content to subtask.details.'
);
} else {
report(
'warn',
'AI response object did not contain generated content in the "details" field. Original details remain unchanged.'
);
}
// --- END TIMESTAMP & FORMATTING LOGIC ---
// Get a reference to the subtask *after* its details have been updated
const updatedSubtask = parentTask.subtasks[subtaskIndex]; // subtask === updatedSubtask now
report('info', 'Updated subtask details locally after AI generation.');
// --- END UPDATE SUBTASK ---
// Only show debug info for text output (CLI)
if (outputFormat === 'text' && getDebugFlag(session)) {
console.log(
'>>> DEBUG: formattedInformation:',
formattedInformation.substring(0, 70) + '...'
'>>> DEBUG: Subtask details AFTER AI update:',
updatedSubtask.details // Use updatedSubtask
);
}
// Append to subtask details and description
// Only show debug info for text output (CLI)
if (outputFormat === 'text' && getDebugFlag(session)) {
console.log('>>> DEBUG: Subtask details BEFORE append:', subtask.details);
}
if (subtask.details) {
subtask.details += formattedInformation;
} else {
subtask.details = `${formattedInformation}`;
}
// Only show debug info for text output (CLI)
if (outputFormat === 'text' && getDebugFlag(session)) {
console.log('>>> DEBUG: Subtask details AFTER append:', subtask.details);
}
if (subtask.description) {
// Only append to description if it makes sense (for shorter updates)
if (additionalInformation.length < 200) {
// Only show debug info for text output (CLI)
// Description update logic (keeping as is for now)
if (updatedSubtask.description) {
// Use updatedSubtask
if (prompt.length < 100) {
if (outputFormat === 'text' && getDebugFlag(session)) {
console.log(
'>>> DEBUG: Subtask description BEFORE append:',
subtask.description
updatedSubtask.description // Use updatedSubtask
);
}
subtask.description += ` [Updated: ${currentDate.toLocaleDateString()}]`;
// Only show debug info for text output (CLI)
updatedSubtask.description += ` [Updated: ${new Date().toLocaleDateString()}]`; // Use updatedSubtask
if (outputFormat === 'text' && getDebugFlag(session)) {
console.log(
'>>> DEBUG: Subtask description AFTER append:',
subtask.description
updatedSubtask.description // Use updatedSubtask
);
}
}
@@ -273,10 +342,7 @@ Guidelines:
console.log('>>> DEBUG: About to call writeJSON with updated data...');
}
// Update the subtask in the parent task's array
parentTask.subtasks[subtaskIndex] = subtask;
// Write the updated tasks to the file
// Write the updated tasks to the file (parentTask already contains the updated subtask)
writeJSON(tasksPath, data);
// Only show debug info for text output (CLI)
@@ -302,17 +368,18 @@ Guidelines:
'\n\n' +
chalk.white.bold('Title:') +
' ' +
subtask.title +
updatedSubtask.title +
'\n\n' +
chalk.white.bold('Information Added:') +
// Update the display to show the new details field
chalk.white.bold('Updated Details:') +
'\n' +
chalk.white(truncate(additionalInformation, 300, true)),
chalk.white(truncate(updatedSubtask.details || '', 500, true)), // Use updatedSubtask
{ padding: 1, borderColor: 'green', borderStyle: 'round' }
)
);
}
return subtask;
return updatedSubtask; // Return the modified subtask object
} catch (error) {
// Outer catch block handles final errors after loop/attempts
// Stop indicator on error - only for text output (CLI)

View File

@@ -275,7 +275,7 @@ async function updateTasks(
chalk.cyan.bold('Title'),
chalk.cyan.bold('Status')
],
colWidths: [5, 60, 10]
colWidths: [5, 70, 20]
});
tasksToUpdate.forEach((task) => {

View File

@@ -9,11 +9,18 @@ import boxen from 'boxen';
import ora from 'ora';
import Table from 'cli-table3';
import gradient from 'gradient-string';
import { log, findTaskById, readJSON, truncate } from './utils.js';
import path from 'path';
import {
log,
findTaskById,
readJSON,
truncate,
isSilentMode
} from './utils.js';
import fs from 'fs';
import { findNextTask, analyzeTaskComplexity } from './task-manager.js';
import { getProjectName, getDefaultSubtasks } from './config-manager.js';
import { TASK_STATUS_OPTIONS } from '../../src/constants/task-status.js';
import { getTaskMasterVersion } from '../../src/utils/getVersion.js';
// Create a color gradient for the banner
const coolGradient = gradient(['#00b4d8', '#0077b6', '#03045e']);
@@ -23,6 +30,8 @@ const warmGradient = gradient(['#fb8b24', '#e36414', '#9a031e']);
* Display a fancy banner for the CLI
*/
function displayBanner() {
if (isSilentMode()) return;
console.clear();
const bannerText = figlet.textSync('Task Master', {
font: 'Standard',
@@ -38,17 +47,7 @@ function displayBanner() {
);
// Read version directly from package.json
let version = 'unknown'; // Initialize with a default
try {
const packageJsonPath = path.join(process.cwd(), 'package.json');
if (fs.existsSync(packageJsonPath)) {
const packageJson = JSON.parse(fs.readFileSync(packageJsonPath, 'utf8'));
version = packageJson.version;
}
} catch (error) {
// Silently fall back to default version
log('warn', 'Could not read package.json for version info.');
}
const version = getTaskMasterVersion();
console.log(
boxen(
@@ -450,7 +449,7 @@ function displayHelp() {
{
name: 'set-status',
args: '--id=<id> --status=<status>',
desc: 'Update task status (done, pending, etc.)'
desc: `Update task status (${TASK_STATUS_OPTIONS.join(', ')})`
},
{
name: 'update',
@@ -801,12 +800,7 @@ async function displayNextTask(tasksPath) {
'padding-bottom': 0,
compact: true
},
chars: {
mid: '',
'left-mid': '',
'mid-mid': '',
'right-mid': ''
},
chars: { mid: '', 'left-mid': '', 'mid-mid': '', 'right-mid': '' },
colWidths: [15, Math.min(75, process.stdout.columns - 20 || 60)],
wordWrap: true
});
@@ -894,12 +888,7 @@ async function displayNextTask(tasksPath) {
'padding-bottom': 0,
compact: true
},
chars: {
mid: '',
'left-mid': '',
'mid-mid': '',
'right-mid': ''
},
chars: { mid: '', 'left-mid': '', 'mid-mid': '', 'right-mid': '' },
wordWrap: true
});

View File

@@ -1,3 +0,0 @@
Task Master PRD
Create a CLI tool for task management

View File

@@ -1,7 +1,7 @@
{
"meta": {
"generatedAt": "2025-05-01T18:17:08.817Z",
"tasksAnalyzed": 35,
"generatedAt": "2025-05-03T04:45:36.864Z",
"tasksAnalyzed": 36,
"thresholdScore": 5,
"projectName": "Taskmaster",
"usedResearch": false
@@ -10,282 +10,290 @@
{
"taskId": 24,
"taskTitle": "Implement AI-Powered Test Generation Command",
"complexityScore": 7,
"complexityScore": 8,
"recommendedSubtasks": 5,
"expansionPrompt": "Break down the implementation of the 'generate-test' command into detailed subtasks covering command structure, AI prompt engineering, test file generation, and integration with existing systems.",
"reasoning": "This task involves creating a new CLI command that leverages AI to generate test files. It requires integration with Claude API, understanding of Jest testing, file system operations, and complex prompt engineering. The task already has 3 subtasks but would benefit from further breakdown to address error handling, documentation, and test validation components."
"expansionPrompt": "Expand the 'Implement AI-Powered Test Generation Command' task by detailing the specific steps required for AI prompt engineering, including data extraction, prompt formatting, and error handling.",
"reasoning": "Requires AI integration, complex logic, and thorough testing. Prompt engineering and API interaction add significant complexity."
},
{
"taskId": 26,
"taskTitle": "Implement Context Foundation for AI Operations",
"complexityScore": 6,
"complexityScore": 7,
"recommendedSubtasks": 6,
"expansionPrompt": "Break down the implementation of the context foundation for AI operations into detailed subtasks covering file context handling, cursor rules integration, context extraction utilities, and command handler updates.",
"reasoning": "This task involves creating a foundation for context integration in Task Master. It requires implementing file reading functionality, cursor rules integration, and context extraction utilities. The task already has 4 subtasks but would benefit from additional subtasks for testing, documentation, and integration with existing AI operations."
"expansionPrompt": "Expand the 'Implement Context Foundation for AI Operations' task by detailing the specific steps for integrating file reading, cursor rules, and basic context extraction into the Claude API prompts.",
"reasoning": "Involves modifying multiple commands and integrating different context sources. Error handling and backwards compatibility are crucial."
},
{
"taskId": 27,
"taskTitle": "Implement Context Enhancements for AI Operations",
"complexityScore": 7,
"complexityScore": 8,
"recommendedSubtasks": 6,
"expansionPrompt": "Break down the implementation of context enhancements for AI operations into detailed subtasks covering code context extraction, task history context, PRD context integration, and context formatting improvements.",
"reasoning": "This task builds upon the foundation from task #26 and adds more sophisticated context features. It involves implementing code context extraction, task history awareness, and PRD integration. The task already has 4 subtasks but would benefit from additional subtasks for testing, documentation, and integration with the foundation context system."
"expansionPrompt": "Expand the 'Implement Context Enhancements for AI Operations' task by detailing the specific steps for code context extraction, task history integration, and PRD context integration, including parsing, summarization, and formatting.",
"reasoning": "Builds upon the previous task with more sophisticated context extraction and integration. Requires intelligent parsing and summarization."
},
{
"taskId": 28,
"taskTitle": "Implement Advanced ContextManager System",
"complexityScore": 8,
"complexityScore": 9,
"recommendedSubtasks": 7,
"expansionPrompt": "Break down the implementation of the advanced ContextManager system into detailed subtasks covering class structure, optimization pipeline, command interface, AI service integration, and performance monitoring.",
"reasoning": "This task involves creating a comprehensive ContextManager class with advanced features like context optimization, prioritization, and intelligent selection. It builds on the previous context tasks and requires sophisticated algorithms for token management and context relevance scoring. The task already has 5 subtasks but would benefit from additional subtasks for testing, documentation, and integration with existing systems."
"expansionPrompt": "Expand the 'Implement Advanced ContextManager System' task by detailing the specific steps for creating the ContextManager class, implementing the optimization pipeline, and adding command interface enhancements, including caching and performance monitoring.",
"reasoning": "A comprehensive system requiring careful design, optimization, and testing. Involves complex algorithms and performance considerations."
},
{
"taskId": 32,
"taskTitle": "Implement \"learn\" Command for Automatic Cursor Rule Generation",
"complexityScore": 9,
"recommendedSubtasks": 8,
"expansionPrompt": "Break down the implementation of the 'learn' command for automatic Cursor rule generation into detailed subtasks covering chat history analysis, rule management, AI integration, and command structure.",
"reasoning": "This task involves creating a complex system that analyzes Cursor's chat history and code changes to automatically generate rule files. It requires sophisticated data analysis, pattern recognition, and AI integration. The task already has 15 subtasks, which is appropriate given its complexity, but could benefit from reorganization into logical groupings."
"recommendedSubtasks": 10,
"expansionPrompt": "Expand the 'Implement \"learn\" Command for Automatic Cursor Rule Generation' task by detailing the specific steps for Cursor data analysis, rule management, and AI integration, including error handling and performance optimization.",
"reasoning": "Requires deep integration with Cursor's data, complex pattern analysis, and AI interaction. Significant error handling and performance optimization are needed."
},
{
"taskId": 40,
"taskTitle": "Implement 'plan' Command for Task Implementation Planning",
"complexityScore": 5,
"recommendedSubtasks": 5,
"expansionPrompt": "Break down the implementation of the 'plan' command for task implementation planning into detailed subtasks covering command structure, AI integration, plan formatting, and error handling.",
"reasoning": "This task involves creating a new command that generates implementation plans for tasks. It requires integration with AI services, understanding of task structure, and proper formatting of generated plans. The task has no subtasks yet, so creating 5 subtasks would provide a clear implementation path."
"complexityScore": 6,
"recommendedSubtasks": 4,
"expansionPrompt": "Expand the 'Implement 'plan' Command for Task Implementation Planning' task by detailing the steps for retrieving task content, generating implementation plans with AI, and formatting the plan within XML tags.",
"reasoning": "Involves AI integration and requires careful formatting and error handling. Switching between Claude and Perplexity adds complexity."
},
{
"taskId": 41,
"taskTitle": "Implement Visual Task Dependency Graph in Terminal",
"complexityScore": 8,
"recommendedSubtasks": 8,
"expansionPrompt": "Break down the implementation of the visual task dependency graph in terminal into detailed subtasks covering graph layout algorithms, ASCII/Unicode rendering, color coding, circular dependency detection, and filtering options.",
"reasoning": "This task involves creating a complex visualization system for task dependencies using ASCII/Unicode characters. It requires sophisticated layout algorithms, rendering logic, and user interface considerations. The task already has 10 subtasks, which is appropriate given its complexity."
"expansionPrompt": "Expand the 'Implement Visual Task Dependency Graph in Terminal' task by detailing the steps for designing the graph rendering system, implementing layout algorithms, and handling circular dependencies and filtering options.",
"reasoning": "Requires complex graph algorithms and terminal rendering. Accessibility and performance are important considerations."
},
{
"taskId": 42,
"taskTitle": "Implement MCP-to-MCP Communication Protocol",
"complexityScore": 9,
"recommendedSubtasks": 10,
"expansionPrompt": "Break down the implementation of the MCP-to-MCP communication protocol into detailed subtasks covering protocol definition, adapter pattern, client module, reference implementation, and mode switching.",
"reasoning": "This task involves designing and implementing a standardized communication protocol for Taskmaster to interact with external MCP tools. It requires sophisticated protocol design, authentication mechanisms, error handling, and support for different operational modes. The task already has 8 subtasks but would benefit from additional subtasks for security, testing, and documentation."
"complexityScore": 8,
"recommendedSubtasks": 7,
"expansionPrompt": "Expand the 'Implement MCP-to-MCP Communication Protocol' task by detailing the steps for defining the protocol, implementing the adapter pattern, and building the client module, including error handling and security considerations.",
"reasoning": "Requires designing a new protocol and implementing communication with external systems. Security and error handling are critical."
},
{
"taskId": 43,
"taskTitle": "Add Research Flag to Add-Task Command",
"complexityScore": 3,
"recommendedSubtasks": 4,
"expansionPrompt": "Break down the implementation of the research flag for the add-task command into detailed subtasks covering command argument parsing, research subtask generation, integration with existing command, and documentation.",
"reasoning": "This task involves modifying the add-task command to support a new flag that generates research-oriented subtasks. It's relatively straightforward as it builds on existing functionality. The task has no subtasks yet, so creating 4 subtasks would provide a clear implementation path."
"complexityScore": 5,
"recommendedSubtasks": 3,
"expansionPrompt": "Expand the 'Add Research Flag to Add-Task Command' task by detailing the steps for updating the command parser, generating research subtasks, and linking them to the parent task.",
"reasoning": "Relatively straightforward, but requires careful handling of subtask generation and linking."
},
{
"taskId": 44,
"taskTitle": "Implement Task Automation with Webhooks and Event Triggers",
"complexityScore": 8,
"recommendedSubtasks": 7,
"expansionPrompt": "Break down the implementation of task automation with webhooks and event triggers into detailed subtasks covering webhook registration, event system, trigger definition, authentication, and payload templating.",
"reasoning": "This task involves creating a sophisticated automation system with webhooks and event triggers. It requires implementing webhook registration, event capturing, trigger definitions, authentication, and integration with existing systems. The task has no subtasks yet, so creating 7 subtasks would provide a clear implementation path for this complex feature."
"expansionPrompt": "Expand the 'Implement Task Automation with Webhooks and Event Triggers' task by detailing the steps for implementing the webhook registration system, event system, and trigger definition interface, including security and error handling.",
"reasoning": "Requires designing a robust event system and integrating with external services. Security and error handling are critical."
},
{
"taskId": 45,
"taskTitle": "Implement GitHub Issue Import Feature",
"complexityScore": 5,
"complexityScore": 7,
"recommendedSubtasks": 5,
"expansionPrompt": "Break down the implementation of the GitHub issue import feature into detailed subtasks covering URL parsing, GitHub API integration, task generation, authentication, and error handling.",
"reasoning": "This task involves adding a feature to import GitHub issues as tasks. It requires integration with the GitHub API, URL parsing, authentication handling, and proper error management. The task has no subtasks yet, so creating 5 subtasks would provide a clear implementation path."
"expansionPrompt": "Expand the 'Implement GitHub Issue Import Feature' task by detailing the steps for parsing the URL, fetching issue details from the GitHub API, and generating a well-formatted task.",
"reasoning": "Requires interacting with the GitHub API and handling various error conditions. Authentication adds complexity."
},
{
"taskId": 46,
"taskTitle": "Implement ICE Analysis Command for Task Prioritization",
"complexityScore": 6,
"recommendedSubtasks": 6,
"expansionPrompt": "Break down the implementation of the ICE analysis command for task prioritization into detailed subtasks covering scoring algorithm, report generation, CLI rendering, and integration with existing analysis tools.",
"reasoning": "This task involves creating a new command that analyzes and ranks tasks based on Impact, Confidence, and Ease scoring. It requires implementing scoring algorithms, report generation, CLI rendering, and integration with existing analysis tools. The task has no subtasks yet, so creating 6 subtasks would provide a clear implementation path."
"complexityScore": 7,
"recommendedSubtasks": 5,
"expansionPrompt": "Expand the 'Implement ICE Analysis Command for Task Prioritization' task by detailing the steps for calculating ICE scores, generating the report file, and implementing the CLI rendering.",
"reasoning": "Requires AI integration for scoring and careful formatting of the report. Integration with existing complexity reports adds complexity."
},
{
"taskId": 47,
"taskTitle": "Enhance Task Suggestion Actions Card Workflow",
"complexityScore": 7,
"recommendedSubtasks": 6,
"expansionPrompt": "Break down the enhancement of the task suggestion actions card workflow into detailed subtasks covering task expansion phase, context addition phase, task management phase, and UI/UX improvements.",
"reasoning": "This task involves redesigning the suggestion actions card to implement a structured workflow. It requires implementing multiple phases (expansion, context addition, management) with appropriate UI/UX considerations. The task has no subtasks yet, so creating 6 subtasks would provide a clear implementation path for this moderately complex feature."
"expansionPrompt": "Expand the 'Enhance Task Suggestion Actions Card Workflow' task by detailing the steps for implementing the task expansion, context addition, and task management phases, including UI/UX considerations.",
"reasoning": "Requires significant UI/UX work and careful state management. Integration with existing functionality is crucial."
},
{
"taskId": 48,
"taskTitle": "Refactor Prompts into Centralized Structure",
"complexityScore": 4,
"recommendedSubtasks": 4,
"expansionPrompt": "Break down the refactoring of prompts into a centralized structure into detailed subtasks covering directory creation, prompt extraction, function modification, and documentation.",
"reasoning": "This task involves restructuring how prompts are managed in the codebase. It's a relatively straightforward refactoring task that requires creating a new directory structure, extracting prompts from functions, and updating references. The task has no subtasks yet, so creating 4 subtasks would provide a clear implementation path."
"complexityScore": 5,
"recommendedSubtasks": 3,
"expansionPrompt": "Expand the 'Refactor Prompts into Centralized Structure' task by detailing the steps for creating the 'prompts' directory, extracting prompts into individual files, and updating functions to import them.",
"reasoning": "Primarily a refactoring task, but requires careful attention to detail to avoid breaking existing functionality."
},
{
"taskId": 49,
"taskTitle": "Implement Code Quality Analysis Command",
"complexityScore": 8,
"recommendedSubtasks": 7,
"expansionPrompt": "Break down the implementation of the code quality analysis command into detailed subtasks covering pattern recognition, best practice verification, improvement recommendations, task integration, and reporting.",
"reasoning": "This task involves creating a sophisticated command that analyzes code quality, identifies patterns, verifies against best practices, and generates improvement recommendations. It requires complex algorithms for code analysis and integration with AI services. The task has no subtasks yet, so creating 7 subtasks would provide a clear implementation path for this complex feature."
"recommendedSubtasks": 6,
"expansionPrompt": "Expand the 'Implement Code Quality Analysis Command' task by detailing the steps for pattern recognition, best practice verification, and improvement recommendations, including AI integration and task creation.",
"reasoning": "Requires complex code analysis and AI integration. Generating actionable recommendations adds complexity."
},
{
"taskId": 50,
"taskTitle": "Implement Test Coverage Tracking System by Task",
"complexityScore": 9,
"recommendedSubtasks": 8,
"expansionPrompt": "Break down the implementation of the test coverage tracking system by task into detailed subtasks covering data structure design, coverage report parsing, tracking and update generation, CLI commands, and AI-powered test generation.",
"reasoning": "This task involves creating a comprehensive system for tracking test coverage at the task level. It requires implementing data structures, coverage report parsing, tracking mechanisms, CLI commands, and AI integration. The task already has 5 subtasks but would benefit from additional subtasks for integration testing, documentation, and user experience."
"recommendedSubtasks": 7,
"expansionPrompt": "Expand the 'Implement Test Coverage Tracking System by Task' task by detailing the steps for creating the tests.json file structure, developing the coverage report parser, and implementing the CLI commands and AI-powered test generation system.",
"reasoning": "A comprehensive system requiring deep integration with testing tools and AI. Maintaining bidirectional relationships adds complexity."
},
{
"taskId": 51,
"taskTitle": "Implement Perplexity Research Command",
"complexityScore": 6,
"recommendedSubtasks": 6,
"expansionPrompt": "Break down the implementation of the Perplexity research command into detailed subtasks covering API client service, task context extraction, CLI interface, results processing, and caching system.",
"reasoning": "This task involves creating a command that integrates with Perplexity AI for research purposes. It requires implementing an API client, context extraction, CLI interface, results processing, and caching. The task already has 5 subtasks, which is appropriate for its complexity."
"complexityScore": 7,
"recommendedSubtasks": 5,
"expansionPrompt": "Expand the 'Implement Perplexity Research Command' task by detailing the steps for creating the Perplexity API client, implementing task context extraction, and building the CLI interface.",
"reasoning": "Requires API integration and careful formatting of the research results. Caching adds complexity."
},
{
"taskId": 52,
"taskTitle": "Implement Task Suggestion Command for CLI",
"complexityScore": 5,
"complexityScore": 7,
"recommendedSubtasks": 5,
"expansionPrompt": "Break down the implementation of the task suggestion command for CLI into detailed subtasks covering task data collection, AI integration, suggestion presentation, interactive interface, and configuration options.",
"reasoning": "This task involves creating a new CLI command that generates contextually relevant task suggestions. It requires collecting existing task data, integrating with AI services, presenting suggestions, and implementing an interactive interface. The task has no subtasks yet, so creating 5 subtasks would provide a clear implementation path."
"expansionPrompt": "Expand the 'Implement Task Suggestion Command for CLI' task by detailing the steps for collecting existing task data, generating task suggestions with AI, and implementing the interactive CLI interface.",
"reasoning": "Requires AI integration and careful design of the interactive interface. Handling various flag combinations adds complexity."
},
{
"taskId": 53,
"taskTitle": "Implement Subtask Suggestion Feature for Parent Tasks",
"complexityScore": 6,
"complexityScore": 7,
"recommendedSubtasks": 6,
"expansionPrompt": "Break down the implementation of the subtask suggestion feature for parent tasks into detailed subtasks covering parent task validation, context gathering, AI integration, interactive interface, and subtask linking.",
"reasoning": "This task involves creating a feature that suggests contextually relevant subtasks for existing parent tasks. It requires implementing parent task validation, context gathering, AI integration, an interactive interface, and subtask linking. The task already has 6 subtasks, which is appropriate for its complexity."
"expansionPrompt": "Expand the 'Implement Subtask Suggestion Feature for Parent Tasks' task by detailing the steps for validating parent tasks, gathering context, generating subtask suggestions with AI, and implementing the interactive CLI interface.",
"reasoning": "Requires AI integration and careful design of the interactive interface. Linking subtasks to parent tasks adds complexity."
},
{
"taskId": 55,
"taskTitle": "Implement Positional Arguments Support for CLI Commands",
"complexityScore": 5,
"complexityScore": 7,
"recommendedSubtasks": 5,
"expansionPrompt": "Break down the implementation of positional arguments support for CLI commands into detailed subtasks covering argument parsing logic, command mapping, help text updates, error handling, and testing.",
"reasoning": "This task involves modifying the command parsing logic to support positional arguments alongside the existing flag-based syntax. It requires updating argument parsing, mapping positional arguments to parameters, updating help text, and handling edge cases. The task has no subtasks yet, so creating 5 subtasks would provide a clear implementation path."
"expansionPrompt": "Expand the 'Implement Positional Arguments Support for CLI Commands' task by detailing the steps for updating the argument parsing logic, defining the positional argument order, and handling edge cases.",
"reasoning": "Requires careful modification of the command parsing logic and ensuring backward compatibility. Handling edge cases adds complexity."
},
{
"taskId": 57,
"taskTitle": "Enhance Task-Master CLI User Experience and Interface",
"complexityScore": 7,
"recommendedSubtasks": 6,
"expansionPrompt": "Break down the enhancement of the Task-Master CLI user experience and interface into detailed subtasks covering log management, visual enhancements, interactive elements, output formatting, and help documentation.",
"reasoning": "This task involves improving the CLI's user experience through various enhancements to logging, visuals, interactivity, and documentation. It requires implementing log levels, visual improvements, interactive elements, and better formatting. The task has no subtasks yet, so creating 6 subtasks would provide a clear implementation path for this moderately complex feature."
"expansionPrompt": "Expand the 'Enhance Task-Master CLI User Experience and Interface' task by detailing the steps for log management, visual enhancements, interactive elements, and output formatting.",
"reasoning": "Requires significant UI/UX work and careful consideration of different terminal environments. Reducing verbose logging adds complexity."
},
{
"taskId": 60,
"taskTitle": "Implement Mentor System with Round-Table Discussion Feature",
"complexityScore": 8,
"recommendedSubtasks": 7,
"expansionPrompt": "Break down the implementation of the mentor system with round-table discussion feature into detailed subtasks covering mentor management, round-table discussion, task system integration, LLM integration, and documentation.",
"reasoning": "This task involves creating a sophisticated mentor system with round-table discussions. It requires implementing mentor management, discussion simulation, task integration, and LLM integration. The task has no subtasks yet, so creating 7 subtasks would provide a clear implementation path for this complex feature."
"expansionPrompt": "Expand the 'Implement Mentor System with Round-Table Discussion Feature' task by detailing the steps for mentor management, round-table discussion implementation, and integration with the task system, including LLM integration.",
"reasoning": "Requires complex AI simulation and careful formatting of the discussion output. Integrating with the task system adds complexity."
},
{
"taskId": 61,
"taskTitle": "Implement Flexible AI Model Management",
"complexityScore": 10,
"recommendedSubtasks": 10,
"expansionPrompt": "Break down the implementation of flexible AI model management into detailed subtasks covering configuration management, CLI command parsing, AI SDK integration, service module development, environment variable handling, and documentation.",
"reasoning": "This task involves implementing comprehensive support for multiple AI models with a unified interface. It's extremely complex, requiring configuration management, CLI commands, SDK integration, service modules, and environment handling. The task already has 45 subtasks, which is appropriate given its complexity and scope."
"complexityScore": 9,
"recommendedSubtasks": 8,
"expansionPrompt": "Expand the 'Implement Flexible AI Model Management' task by detailing the steps for creating the configuration management module, implementing the CLI command parser, and integrating the Vercel AI SDK.",
"reasoning": "Requires deep integration with multiple AI models and careful management of API keys and configuration options. Vercel AI SDK integration adds complexity."
},
{
"taskId": 62,
"taskTitle": "Add --simple Flag to Update Commands for Direct Text Input",
"complexityScore": 4,
"recommendedSubtasks": 5,
"expansionPrompt": "Break down the implementation of the --simple flag for update commands into detailed subtasks covering command parser updates, AI processing bypass, timestamp formatting, visual indicators, and documentation.",
"reasoning": "This task involves modifying update commands to accept a flag that bypasses AI processing. It requires updating command parsers, implementing conditional logic, formatting user input, and updating documentation. The task already has 8 subtasks, which is more than sufficient for its complexity."
"complexityScore": 5,
"recommendedSubtasks": 4,
"expansionPrompt": "Expand the 'Add --simple Flag to Update Commands for Direct Text Input' task by detailing the steps for updating the command parsers, implementing the conditional logic, and formatting the user input with a timestamp.",
"reasoning": "Relatively straightforward, but requires careful attention to formatting and ensuring consistency with AI-processed updates."
},
{
"taskId": 63,
"taskTitle": "Add pnpm Support for the Taskmaster Package",
"complexityScore": 5,
"complexityScore": 7,
"recommendedSubtasks": 6,
"expansionPrompt": "Break down the implementation of pnpm support for the Taskmaster package into detailed subtasks covering documentation updates, package script compatibility, lockfile generation, installation testing, CI/CD integration, and website consistency verification.",
"reasoning": "This task involves ensuring the Taskmaster package works seamlessly with pnpm. It requires updating documentation, ensuring script compatibility, testing installation, and integrating with CI/CD. The task already has 8 subtasks, which is appropriate for its complexity."
"expansionPrompt": "Expand the 'Add pnpm Support for the Taskmaster Package' task by detailing the steps for updating the documentation, ensuring package scripts compatibility, and testing the installation and operation with pnpm.",
"reasoning": "Requires careful attention to detail to ensure compatibility with pnpm's execution model. Testing and documentation are crucial."
},
{
"taskId": 64,
"taskTitle": "Add Yarn Support for Taskmaster Installation",
"complexityScore": 5,
"complexityScore": 7,
"recommendedSubtasks": 6,
"expansionPrompt": "Break down the implementation of Yarn support for Taskmaster installation into detailed subtasks covering package.json updates, Yarn-specific configuration, compatibility testing, documentation updates, package manager detection, and website consistency verification.",
"reasoning": "This task involves ensuring the Taskmaster package works seamlessly with Yarn. It requires updating package.json, adding Yarn-specific configuration, testing compatibility, and updating documentation. The task already has 9 subtasks, which is appropriate for its complexity."
"expansionPrompt": "Expand the 'Add Yarn Support for Taskmaster Installation' task by detailing the steps for updating package.json, adding Yarn-specific configuration files, and testing the installation and operation with Yarn.",
"reasoning": "Requires careful attention to detail to ensure compatibility with Yarn's execution model. Testing and documentation are crucial."
},
{
"taskId": 65,
"taskTitle": "Add Bun Support for Taskmaster Installation",
"complexityScore": 5,
"complexityScore": 7,
"recommendedSubtasks": 6,
"expansionPrompt": "Break down the implementation of Bun support for Taskmaster installation into detailed subtasks covering package.json updates, Bun-specific configuration, compatibility testing, documentation updates, package manager detection, and troubleshooting guidance.",
"reasoning": "This task involves ensuring the Taskmaster package works seamlessly with Bun. It requires updating package.json, adding Bun-specific configuration, testing compatibility, and updating documentation. The task has no subtasks yet, so creating 6 subtasks would provide a clear implementation path."
"expansionPrompt": "Expand the 'Add Bun Support for Taskmaster Installation' task by detailing the steps for updating the installation scripts, testing the installation and operation with Bun, and updating the documentation.",
"reasoning": "Requires careful attention to detail to ensure compatibility with Bun's execution model. Testing and documentation are crucial."
},
{
"taskId": 66,
"taskTitle": "Support Status Filtering in Show Command for Subtasks",
"complexityScore": 3,
"complexityScore": 5,
"recommendedSubtasks": 4,
"expansionPrompt": "Break down the implementation of status filtering in the show command for subtasks into detailed subtasks covering command parser updates, filtering logic, help documentation, and testing.",
"reasoning": "This task involves enhancing the show command to support status-based filtering of subtasks. It's relatively straightforward, requiring updates to the command parser, filtering logic, and documentation. The task has no subtasks yet, so creating 4 subtasks would provide a clear implementation path."
"expansionPrompt": "Expand the 'Support Status Filtering in Show Command for Subtasks' task by detailing the steps for updating the command parser, modifying the show command handler, and updating the help documentation.",
"reasoning": "Relatively straightforward, but requires careful handling of status validation and filtering."
},
{
"taskId": 67,
"taskTitle": "Add CLI JSON output and Cursor keybindings integration",
"complexityScore": 6,
"complexityScore": 7,
"recommendedSubtasks": 6,
"expansionPrompt": "Break down the implementation of CLI JSON output and Cursor keybindings integration into detailed subtasks covering JSON flag implementation, output formatting, keybindings command structure, OS detection, file handling, and keybinding definition.",
"reasoning": "This task involves two main components: adding JSON output to CLI commands and creating a new command for Cursor keybindings. It requires implementing a JSON flag, formatting output, creating a new command, detecting OS, handling files, and defining keybindings. The task already has 5 subtasks, which is appropriate for its complexity."
"expansionPrompt": "Expand the 'Add CLI JSON output and Cursor keybindings integration' task by detailing the steps for implementing the JSON output logic, creating the install-keybindings command structure, and handling keybinding file manipulation.",
"reasoning": "Requires careful formatting of the JSON output and handling of file system operations. OS detection adds complexity."
},
{
"taskId": 68,
"taskTitle": "Ability to create tasks without parsing PRD",
"complexityScore": 4,
"recommendedSubtasks": 4,
"expansionPrompt": "Break down the implementation of creating tasks without parsing PRD into detailed subtasks covering tasks.json creation, function reuse from parse-prd, command modification, and documentation.",
"reasoning": "This task involves modifying the task creation process to work without a PRD. It's relatively straightforward, requiring tasks.json creation, function reuse, command modification, and documentation. The task has no subtasks yet, so creating 4 subtasks would provide a clear implementation path."
"complexityScore": 3,
"recommendedSubtasks": 2,
"expansionPrompt": "Expand the 'Ability to create tasks without parsing PRD' task by detailing the steps for creating tasks without a PRD.",
"reasoning": "Simple task to allow task creation without a PRD."
},
{
"taskId": 69,
"taskTitle": "Enhance Analyze Complexity for Specific Task IDs",
"complexityScore": 5,
"recommendedSubtasks": 5,
"expansionPrompt": "Break down the enhancement of analyze-complexity for specific task IDs into detailed subtasks covering core logic modification, CLI command updates, MCP tool updates, report handling, and testing.",
"reasoning": "This task involves modifying the analyze-complexity feature to support analyzing specific task IDs. It requires updating core logic, CLI commands, MCP tools, and report handling. The task has no subtasks yet, so creating 5 subtasks would provide a clear implementation path."
"complexityScore": 6,
"recommendedSubtasks": 4,
"expansionPrompt": "Expand the 'Enhance Analyze Complexity for Specific Task IDs' task by detailing the steps for modifying the core logic, updating the CLI, and updating the MCP tool.",
"reasoning": "Requires modifying existing functionality and ensuring compatibility with both CLI and MCP."
},
{
"taskId": 70,
"taskTitle": "Implement 'diagram' command for Mermaid diagram generation",
"complexityScore": 6,
"recommendedSubtasks": 6,
"expansionPrompt": "Break down the implementation of the 'diagram' command for Mermaid diagram generation into detailed subtasks covering command structure, task data collection, diagram generation, rendering options, file export, and documentation.",
"reasoning": "This task involves creating a new command that generates Mermaid diagrams for task dependencies. It requires implementing command structure, collecting task data, generating diagrams, providing rendering options, and supporting file export. The task has no subtasks yet, so creating 6 subtasks would provide a clear implementation path."
"recommendedSubtasks": 4,
"expansionPrompt": "Expand the 'Implement 'diagram' command for Mermaid diagram generation' task by detailing the steps for creating the command, generating the Mermaid diagram, and handling different output options.",
"reasoning": "Requires generating Mermaid diagrams and handling different output options."
},
{
"taskId": 72,
"taskTitle": "Implement PDF Generation for Project Progress and Dependency Overview",
"complexityScore": 7,
"recommendedSubtasks": 7,
"expansionPrompt": "Break down the implementation of PDF generation for project progress and dependency overview into detailed subtasks covering command structure, data collection, progress summary generation, dependency visualization, PDF creation, styling, and documentation.",
"reasoning": "This task involves creating a feature to generate PDF reports of project progress and dependencies. It requires implementing command structure, collecting data, generating summaries, visualizing dependencies, creating PDFs, and styling the output. The task has no subtasks yet, so creating 7 subtasks would provide a clear implementation path for this moderately complex feature."
"complexityScore": 8,
"recommendedSubtasks": 6,
"expansionPrompt": "Expand the 'Implement PDF Generation for Project Progress and Dependency Overview' task by detailing the steps for summarizing project progress, visualizing the dependency chain, and generating the PDF document.",
"reasoning": "Requires integrating with the diagram command and using a PDF generation library. Handling large dependency chains adds complexity."
},
{
"taskId": 73,
"taskTitle": "Implement Custom Model ID Support for Ollama/OpenRouter",
"complexityScore": 5,
"complexityScore": 7,
"recommendedSubtasks": 5,
"expansionPrompt": "Break down the implementation of custom model ID support for Ollama/OpenRouter into detailed subtasks covering CLI flag implementation, model validation, interactive setup, configuration updates, and documentation.",
"reasoning": "This task involves allowing users to specify custom model IDs for Ollama and OpenRouter. It requires implementing CLI flags, validating models, updating the interactive setup, modifying configuration, and updating documentation. The task has no subtasks yet, so creating 5 subtasks would provide a clear implementation path."
"expansionPrompt": "Expand the 'Implement Custom Model ID Support for Ollama/OpenRouter' task by detailing the steps for modifying the CLI, implementing the interactive setup, and handling validation and warnings.",
"reasoning": "Requires integrating with external APIs and handling different model types. Validation and warnings are crucial."
},
{
"taskId": 75,
"taskTitle": "Integrate Google Search Grounding for Research Role",
"complexityScore": 4,
"complexityScore": 6,
"recommendedSubtasks": 4,
"expansionPrompt": "Break down the integration of Google Search Grounding for research role into detailed subtasks covering AI service layer modification, conditional logic implementation, model configuration updates, and testing.",
"reasoning": "This task involves updating the AI service layer to enable Google Search Grounding for the research role. It's relatively straightforward, requiring modifications to the AI service, implementing conditional logic, updating model configurations, and testing. The task has no subtasks yet, so creating 4 subtasks would provide a clear implementation path."
"expansionPrompt": "Expand the 'Integrate Google Search Grounding for Research Role' task by detailing the steps for modifying the AI service layer, implementing the conditional logic, and updating the supported models.",
"reasoning": "Requires conditional logic and integration with the Google Search Grounding API."
},
{
"taskId": 76,
"taskTitle": "Develop E2E Test Framework for Taskmaster MCP Server (FastMCP over stdio)",
"complexityScore": 9,
"recommendedSubtasks": 7,
"expansionPrompt": "Expand the 'Develop E2E Test Framework for Taskmaster MCP Server (FastMCP over stdio)' task by detailing the steps for launching the FastMCP server, implementing the message protocol handler, and developing the request/response correlation mechanism.",
"reasoning": "Requires complex system integration and robust error handling. Designing a comprehensive test framework adds complexity."
}
]
}

View File

@@ -5,7 +5,7 @@
* using the Vercel AI SDK.
*/
import { createAnthropic } from '@ai-sdk/anthropic';
import { generateText, streamText, generateObject, streamObject } from 'ai';
import { generateText, streamText, generateObject } from 'ai';
import { log } from '../../scripts/modules/utils.js'; // Assuming utils is accessible
// TODO: Implement standardized functions for generateText, streamText, generateObject
@@ -17,7 +17,7 @@ import { log } from '../../scripts/modules/utils.js'; // Assuming utils is acces
// Remove the global variable and caching logic
// let anthropicClient;
function getClient(apiKey) {
function getClient(apiKey, baseUrl) {
if (!apiKey) {
// In a real scenario, this would use the config resolver.
// Throwing error here if key isn't passed for simplicity.
@@ -30,14 +30,12 @@ function getClient(apiKey) {
// Create and return a new instance directly with standard version header
return createAnthropic({
apiKey: apiKey,
baseURL: 'https://api.anthropic.com/v1',
...(baseUrl && { baseURL: baseUrl }),
// Use standard version header instead of beta
headers: {
'anthropic-beta': 'output-128k-2025-02-19'
}
});
// }
// return anthropicClient;
}
// --- Standardized Service Function Implementations ---
@@ -51,6 +49,7 @@ function getClient(apiKey) {
* @param {Array<object>} params.messages - The messages array (e.g., [{ role: 'user', content: '...' }]).
* @param {number} [params.maxTokens] - Maximum tokens for the response.
* @param {number} [params.temperature] - Temperature for generation.
* @param {string} [params.baseUrl] - The base URL for the Anthropic API.
* @returns {Promise<string>} The generated text content.
* @throws {Error} If the API call fails.
*/
@@ -59,11 +58,12 @@ export async function generateAnthropicText({
modelId,
messages,
maxTokens,
temperature
temperature,
baseUrl
}) {
log('debug', `Generating Anthropic text with model: ${modelId}`);
try {
const client = getClient(apiKey);
const client = getClient(apiKey, baseUrl);
const result = await generateText({
model: client(modelId),
messages: messages,
@@ -93,6 +93,7 @@ export async function generateAnthropicText({
* @param {Array<object>} params.messages - The messages array.
* @param {number} [params.maxTokens] - Maximum tokens for the response.
* @param {number} [params.temperature] - Temperature for generation.
* @param {string} [params.baseUrl] - The base URL for the Anthropic API.
* @returns {Promise<object>} The full stream result object from the Vercel AI SDK.
* @throws {Error} If the API call fails to initiate the stream.
*/
@@ -101,20 +102,20 @@ export async function streamAnthropicText({
modelId,
messages,
maxTokens,
temperature
temperature,
baseUrl
}) {
log('debug', `Streaming Anthropic text with model: ${modelId}`);
try {
const client = getClient(apiKey);
const client = getClient(apiKey, baseUrl);
// --- DEBUG LOGGING --- >>
log(
'debug',
'[streamAnthropicText] Parameters received by streamText:',
JSON.stringify(
{
modelId: modelId, // Log modelId being used
messages: messages, // Log the messages array
modelId: modelId,
messages: messages,
maxTokens: maxTokens,
temperature: temperature
},
@@ -122,25 +123,19 @@ export async function streamAnthropicText({
2
)
);
// --- << DEBUG LOGGING ---
const stream = await streamText({
model: client(modelId),
messages: messages,
maxTokens: maxTokens,
temperature: temperature
// Beta header moved to client initialization
// TODO: Add other relevant parameters
});
// *** RETURN THE FULL STREAM OBJECT, NOT JUST stream.textStream ***
return stream;
} catch (error) {
log(
'error',
`Anthropic streamText failed: ${error.message}`,
error.stack // Log stack trace for more details
);
log('error', `Anthropic streamText failed: ${error.message}`, error.stack);
throw error;
}
}
@@ -160,6 +155,7 @@ export async function streamAnthropicText({
* @param {number} [params.maxTokens] - Maximum tokens for the response.
* @param {number} [params.temperature] - Temperature for generation.
* @param {number} [params.maxRetries] - Max retries for validation/generation.
* @param {string} [params.baseUrl] - The base URL for the Anthropic API.
* @returns {Promise<object>} The generated object matching the schema.
* @throws {Error} If generation or validation fails.
*/
@@ -171,24 +167,22 @@ export async function generateAnthropicObject({
objectName = 'generated_object',
maxTokens,
temperature,
maxRetries = 3
maxRetries = 3,
baseUrl
}) {
log(
'debug',
`Generating Anthropic object ('${objectName}') with model: ${modelId}`
);
try {
const client = getClient(apiKey);
// Log basic debug info
const client = getClient(apiKey, baseUrl);
log(
'debug',
`Using maxTokens: ${maxTokens}, temperature: ${temperature}, model: ${modelId}`
);
const result = await generateObject({
model: client(modelId),
mode: 'tool', // Anthropic generally uses 'tool' mode for structured output
mode: 'tool',
schema: schema,
messages: messages,
tool: {
@@ -199,14 +193,12 @@ export async function generateAnthropicObject({
temperature: temperature,
maxRetries: maxRetries
});
log(
'debug',
`Anthropic generateObject result received. Tokens: ${result.usage.completionTokens}/${result.usage.promptTokens}`
);
return result.object;
} catch (error) {
// Simple error logging
log(
'error',
`Anthropic generateObject ('${objectName}') failed: ${error.message}`

View File

@@ -12,6 +12,16 @@ import { log } from '../../scripts/modules/utils.js'; // Import logging utility
const DEFAULT_MODEL = 'gemini-2.0-pro'; // Or a suitable default
const DEFAULT_TEMPERATURE = 0.2; // Or a suitable default
function getClient(apiKey, baseUrl) {
if (!apiKey) {
throw new Error('Google API key is required.');
}
return createGoogleGenerativeAI({
apiKey: apiKey,
...(baseUrl && { baseURL: baseUrl })
});
}
/**
* Generates text using a Google AI model.
*
@@ -29,7 +39,8 @@ async function generateGoogleText({
modelId = DEFAULT_MODEL,
temperature = DEFAULT_TEMPERATURE,
messages,
maxTokens // Note: Vercel SDK might handle this differently, needs verification
maxTokens,
baseUrl
}) {
if (!apiKey) {
throw new Error('Google API key is required.');
@@ -37,28 +48,21 @@ async function generateGoogleText({
log('info', `Generating text with Google model: ${modelId}`);
try {
// const google = new GoogleGenerativeAI({ apiKey }); // Incorrect instantiation
const googleProvider = createGoogleGenerativeAI({ apiKey }); // Correct instantiation
// const model = google.getGenerativeModel({ model: modelId }); // Incorrect model retrieval
const model = googleProvider(modelId); // Correct model retrieval
// Construct payload suitable for Vercel SDK's generateText
// Note: The exact structure might depend on how messages are passed
const googleProvider = getClient(apiKey, baseUrl);
const model = googleProvider(modelId);
const result = await generateText({
model, // Pass the model instance
messages, // Pass the messages array directly
model,
messages,
temperature,
maxOutputTokens: maxTokens // Map to correct Vercel SDK param if available
maxOutputTokens: maxTokens
});
// Assuming result structure provides text directly or within a property
return result.text; // Adjust based on actual SDK response
return result.text;
} catch (error) {
log(
'error',
`Error generating text with Google (${modelId}): ${error.message}`
);
throw error; // Re-throw for unified service handler
throw error;
}
}
@@ -79,7 +83,8 @@ async function streamGoogleText({
modelId = DEFAULT_MODEL,
temperature = DEFAULT_TEMPERATURE,
messages,
maxTokens
maxTokens,
baseUrl
}) {
if (!apiKey) {
throw new Error('Google API key is required.');
@@ -87,19 +92,15 @@ async function streamGoogleText({
log('info', `Streaming text with Google model: ${modelId}`);
try {
// const google = new GoogleGenerativeAI({ apiKey }); // Incorrect instantiation
const googleProvider = createGoogleGenerativeAI({ apiKey }); // Correct instantiation
// const model = google.getGenerativeModel({ model: modelId }); // Incorrect model retrieval
const model = googleProvider(modelId); // Correct model retrieval
const googleProvider = getClient(apiKey, baseUrl);
const model = googleProvider(modelId);
const stream = await streamText({
model, // Pass the model instance
model,
messages,
temperature,
maxOutputTokens: maxTokens
});
return stream; // Return the stream directly
return stream;
} catch (error) {
log(
'error',
@@ -130,7 +131,8 @@ async function generateGoogleObject({
messages,
schema,
objectName, // Note: Vercel SDK might use this differently or not at all
maxTokens
maxTokens,
baseUrl
}) {
if (!apiKey) {
throw new Error('Google API key is required.');
@@ -138,23 +140,16 @@ async function generateGoogleObject({
log('info', `Generating object with Google model: ${modelId}`);
try {
// const google = new GoogleGenerativeAI({ apiKey }); // Incorrect instantiation
const googleProvider = createGoogleGenerativeAI({ apiKey }); // Correct instantiation
// const model = google.getGenerativeModel({ model: modelId }); // Incorrect model retrieval
const model = googleProvider(modelId); // Correct model retrieval
const googleProvider = getClient(apiKey, baseUrl);
const model = googleProvider(modelId);
const { object } = await generateObject({
model, // Pass the model instance
model,
schema,
messages,
temperature,
maxOutputTokens: maxTokens
// Note: 'objectName' or 'mode' might not be directly applicable here
// depending on how `@ai-sdk/google` handles `generateObject`.
// Check SDK docs if specific tool calling/JSON mode needs explicit setup.
});
return object; // Return the parsed object
return object;
} catch (error) {
log(
'error',

View File

@@ -1,16 +1,26 @@
import { createOpenAI, openai } from '@ai-sdk/openai'; // Using openai provider from Vercel AI SDK
import { generateText, streamText, generateObject } from 'ai'; // Import necessary functions from 'ai'
import { createOpenAI } from '@ai-sdk/openai'; // Using openai provider from Vercel AI SDK
import { generateObject } from 'ai'; // Import necessary functions from 'ai'
import { log } from '../../scripts/modules/utils.js';
function getClient(apiKey, baseUrl) {
if (!apiKey) {
throw new Error('OpenAI API key is required.');
}
return createOpenAI({
apiKey: apiKey,
...(baseUrl && { baseURL: baseUrl })
});
}
/**
* Generates text using OpenAI models via Vercel AI SDK.
*
* @param {object} params - Parameters including apiKey, modelId, messages, maxTokens, temperature.
* @param {object} params - Parameters including apiKey, modelId, messages, maxTokens, temperature, baseUrl.
* @returns {Promise<string>} The generated text content.
* @throws {Error} If API call fails.
*/
export async function generateOpenAIText(params) {
const { apiKey, modelId, messages, maxTokens, temperature } = params;
const { apiKey, modelId, messages, maxTokens, temperature, baseUrl } = params;
log('debug', `generateOpenAIText called with model: ${modelId}`);
if (!apiKey) {
@@ -23,18 +33,15 @@ export async function generateOpenAIText(params) {
throw new Error('Invalid or empty messages array provided for OpenAI.');
}
const openaiClient = createOpenAI({ apiKey });
const openaiClient = getClient(apiKey, baseUrl);
try {
const result = await openaiClient.chat(messages, {
// Updated: Use openaiClient.chat directly
model: modelId,
max_tokens: maxTokens,
temperature
});
// Adjust based on actual Vercel SDK response structure for openaiClient.chat
// This might need refinement based on testing the SDK's output.
const textContent = result?.choices?.[0]?.message?.content?.trim();
if (!textContent) {
@@ -65,12 +72,12 @@ export async function generateOpenAIText(params) {
/**
* Streams text using OpenAI models via Vercel AI SDK.
*
* @param {object} params - Parameters including apiKey, modelId, messages, maxTokens, temperature.
* @param {object} params - Parameters including apiKey, modelId, messages, maxTokens, temperature, baseUrl.
* @returns {Promise<ReadableStream>} A readable stream of text deltas.
* @throws {Error} If API call fails.
*/
export async function streamOpenAIText(params) {
const { apiKey, modelId, messages, maxTokens, temperature } = params;
const { apiKey, modelId, messages, maxTokens, temperature, baseUrl } = params;
log('debug', `streamOpenAIText called with model: ${modelId}`);
if (!apiKey) {
@@ -85,12 +92,10 @@ export async function streamOpenAIText(params) {
);
}
const openaiClient = createOpenAI({ apiKey });
const openaiClient = getClient(apiKey, baseUrl);
try {
// Use the streamText function from Vercel AI SDK core
const stream = await openaiClient.chat.stream(messages, {
// Updated: Use openaiClient.chat.stream
model: modelId,
max_tokens: maxTokens,
temperature
@@ -100,7 +105,6 @@ export async function streamOpenAIText(params) {
'debug',
`OpenAI streamText initiated successfully for model: ${modelId}`
);
// The Vercel SDK's streamText should directly return the stream object
return stream;
} catch (error) {
log(
@@ -117,7 +121,7 @@ export async function streamOpenAIText(params) {
/**
* Generates structured objects using OpenAI models via Vercel AI SDK.
*
* @param {object} params - Parameters including apiKey, modelId, messages, schema, objectName, maxTokens, temperature.
* @param {object} params - Parameters including apiKey, modelId, messages, schema, objectName, maxTokens, temperature, baseUrl.
* @returns {Promise<object>} The generated object matching the schema.
* @throws {Error} If API call fails or object generation fails.
*/
@@ -129,7 +133,8 @@ export async function generateOpenAIObject(params) {
schema,
objectName,
maxTokens,
temperature
temperature,
baseUrl
} = params;
log(
'debug',
@@ -145,10 +150,9 @@ export async function generateOpenAIObject(params) {
if (!objectName)
throw new Error('Object name is required for OpenAI object generation.');
const openaiClient = createOpenAI({ apiKey });
const openaiClient = getClient(apiKey, baseUrl);
try {
// Use the imported generateObject function from 'ai' package
const result = await generateObject({
model: openaiClient(modelId),
schema: schema,

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