Version Packages

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Releases

task-master-ai@0.31.0

Minor Changes

• #1360 819d5e1 Thanks @Crunchyman-ralph! - Add support for custom OpenAI-compatible providers, allowing you to connect Task Master to any service that implements the OpenAI API specification

  How to use:

  Configure your custom provider with the models command:

  task-master models --set-main <your-model-id> --openai-compatible --baseURL <your-api-endpoint>

  Example:

  task-master models --set-main llama-3-70b --openai-compatible --baseURL http://localhost:8000/v1
  # Or for an interactive view
  task-master models --setup

  Set your API key (if required by your provider) in mcp.json, your .env file or in your env exports:

  OPENAI_COMPATIBLE_API_KEY="your-key-here"

  This gives you the flexibility to use virtually any LLM service with Task Master, whether it's self-hosted, a specialized provider, or a custom inference server.

• #1360 819d5e1 Thanks @Crunchyman-ralph! - Add native support for Z.ai (GLM models), giving you access to high-performance Chinese models including glm-4.6 with massive 200K+ token context windows at competitive pricing

  How to use:

  1. Get your Z.ai API key from https://z.ai/manage-apikey/apikey-list

  2. Set your API key in .env, mcp.json or in env exports:

     ZAI_API_KEY="your-key-here"

  3. Configure Task Master to use GLM models:

     task-master models --set-main glm-4.6
     # Or for an interactive view
     task-master models --setup

  Available models:

  • glm-4.6 - Latest model with 200K+ context, excellent for complex projects
  • glm-4.5 - Previous generation, still highly capable
  • Additional GLM variants for different use cases: glm-4.5-air, glm-4.5v

  GLM models offer strong performance on software engineering tasks, with particularly good results on code generation and technical reasoning. The large context window makes them ideal for analyzing entire codebases or working with extensive documentation.

• #1360 819d5e1 Thanks @Crunchyman-ralph! - Add LM Studio integration, enabling you to run Task Master completely offline with local models at zero API cost.

  How to use:

  1. Download and install LM Studio

  2. Launch LM Studio and download a model (e.g., Llama 3.2, Mistral, Qwen)

  3. Optional: Add api key to mcp.json or .env (LMSTUDIO_API_KEY)

  4. Go to the "Local Server" tab and click "Start Server"

  5. Configure Task Master:

     task-master models --set-main <model-name> --lmstudio

     Example:

     task-master models --set-main llama-3.2-3b --lmstudio

Patch Changes

• #1362 3e70edf Thanks @Crunchyman-ralph! - Improve parse PRD schema for better llm model compatiblity

  • Fixes bug: I am unable to parse anything right now #1353

• #1358 0c639bd Thanks @Crunchyman-ralph! - Fix subtask ID display to show full compound notation

  When displaying a subtask via tm show 104.1, the header and properties table showed only the subtask's local ID (e.g., "1") instead of the full compound ID (e.g., "104.1"). The CLI now preserves and displays the original requested task ID throughout the display chain, ensuring subtasks are clearly identified with their parent context. Also improved TypeScript typing by using discriminated unions for Task/Subtask returns from tasks.get(), eliminating unsafe type coercions.

• #1339 3b09b5d Thanks @Crunchyman-ralph! - Fixed MCP server sometimes crashing when getting into the commit step of autopilot

  • autopilot now persists state consistently through the whole flow

• #1326 9d5812b Thanks @SharifMrCreed! - Improve gemini cli integration

  When initializing Task Master with the gemini profile, you now get properly configured context files tailored specifically for Gemini CLI, including MCP configuration and Gemini-specific features like file references, session management, and headless mode.

@tm/cli@null

@tm/cli

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Patch Changes

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  • @tm/core@null

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• #1305 a98d96e Thanks @bjcoombs! - Fix warning message box width to match dashboard box width for consistent UI alignment

• Updated dependencies []:

  • @tm/core@null

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0.27.0

Patch Changes

• Updated dependencies []:
  • @tm/core@0.26.1

0.27.0-rc.0

Minor Changes

• #1213 137ef36 Thanks @Crunchyman-ralph! - testing this stuff out to see how the release candidate works with monorepo

1.1.0-rc.0

Minor Changes

• #1213 cd90b4d Thanks @Crunchyman-ralph! - testing this stuff out to see how the release candidate works with monorepo

@tm/mcp@null

@tm/mcp

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  • @tm/core@null

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@tm/bridge@null

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docs@0.0.9

@tm/ai-sdk-provider-grok-cli@null

@tm/ai-sdk-provider-grok-cli

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@tm/build-config@null

@tm/build-config

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1.0.1

@tm/claude-code-plugin@0.0.4

@tm/core@null

Changelog

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0.26.1

All notable changes to the @task-master/tm-core package will be documented in this file.

The format is based on Keep a Changelog,
and this project adheres to Semantic Versioning.

[Unreleased]

Added

• Initial package structure and configuration
• TypeScript support with strict mode
• Dual ESM/CJS build system with tsup
• Jest testing framework with TypeScript support
• ESLint and Prettier for code quality
• Modular architecture with barrel exports
• Placeholder implementations for all modules
• Comprehensive documentation and README

Development Infrastructure

• tsup configuration for dual format builds
• Jest configuration with ESM support
• ESLint configuration with TypeScript rules
• Prettier configuration for consistent formatting
• Complete package.json with all required fields
• TypeScript configuration with strict settings
• .gitignore for development files

Package Structure

• src/types/ - TypeScript type definitions (placeholder)
• src/providers/ - AI provider implementations (placeholder)
• src/storage/ - Storage layer abstractions (placeholder)
• src/parser/ - Task parsing utilities (placeholder)
• src/utils/ - Common utility functions (placeholder)
• src/errors/ - Custom error classes (placeholder)
• tests/ - Test directories and setup

[1.0.0] - TBD

Planned Features

• Complete TypeScript type system
• AI provider implementations
• Storage adapters
• Task parsing capabilities
• Comprehensive utility functions
• Custom error handling
• Full test coverage
• Complete documentation

---

Release Notes

Version 1.0.0 (Coming Soon)

This will be the first stable release of tm-core with complete implementations of all modules. Currently, all modules contain placeholder implementations to establish the package structure and enable development of dependent packages.

Development Status

• ✅ Package structure and configuration
• ✅ Build and test infrastructure
• ✅ Development tooling setup
• 🚧 TypeScript types implementation (Task 116)
• 🚧 AI provider system (Task 117)
• 🚧 Storage layer (Task 118)
• 🚧 Task parser (Task 119)
• 🚧 Utility functions (Task 120)
• 🚧 Error handling (Task 121)
• 🚧 Configuration system (Task 122)
• 🚧 Testing infrastructure (Task 123)
• 🚧 Documentation (Task 124)
• 🚧 Package finalization (Task 125)

---

Note

Publishes v0.31.0 adding OpenAI-compatible providers, Z.ai GLM, and LM Studio integrations, plus several fixes and version bumps.

• Release task-master-ai@0.31.0
  • Add support for custom OpenAI-compatible providers (--openai-compatible, --baseURL).
  • Add native Z.ai (GLM) models support (e.g., glm-4.6).
  • Add LM Studio integration for local/offline models (--lmstudio).
• Fixes/Improvements
  • Improve PRD parsing schema compatibility.
  • Show full compound subtask IDs (e.g., 104.1).
  • Prevent MCP autopilot crash at commit step; persist state reliably.
  • Better Gemini CLI profile integration and context files.
• Housekeeping
  • Bump versions: root to 0.31.0, docs to 0.0.9, @tm/claude-code-plugin to 0.0.4.
  • VS Code extension: relax task-master-ai devDependency to *.
  • Remove processed changesets; update changelogs and lockfile.

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[Crunchyman-ralph]

lgtm