Introduces a configurable fallback model and adds support for additional AI provider API keys in the environment setup.
- **Add Fallback Model Configuration (.taskmasterconfig):**
- Implemented a new section in .
- Configured as the default fallback model, enhancing resilience if the primary model fails.
- **Update Default Model Configuration (.taskmasterconfig):**
- Changed the default model to .
- Changed the default model to .
- **Add API Key Examples (assets/env.example):**
- Added example environment variables for:
- (for OpenAI/OpenRouter)
- (for Google Gemini)
- (for XAI Grok)
- Included format comments for clarity.
This commit resolves several issues with the task expansion system to
ensure higher quality subtasks and better synchronization:
1. Task File Generation
- Add automatic regeneration of task files after expanding tasks
- Ensure individual task text files stay in sync with tasks.json
- Avoids manual regeneration steps after task expansion
2. Perplexity API Integration
- Fix 'researchPrompt is not defined' error in Perplexity integration
- Add specialized research-oriented prompt template
- Improve system message for better context and instruction
- Better fallback to Claude when Perplexity unavailable
3. Subtask Parsing Improvements
- Enhance regex pattern to handle more formatting variations
- Implement multiple parsing strategies for different response formats:
* Improved section detection with flexible headings
* Added support for numbered and bulleted lists
* Implemented heuristic-based title and description extraction
- Create more meaningful dummy subtasks with relevant titles and descriptions
instead of generic placeholders
- Ensure minimal descriptions are always provided
4. Quality Verification and Retry System
- Add post-expansion verification to identify low-quality subtask sets
- Detect tasks with too many generic/placeholder subtasks
- Implement interactive retry mechanism with enhanced prompts
- Use adjusted settings for retries (research mode, subtask count)
- Clear existing subtasks before retry to prevent duplicates
- Provide detailed reporting of verification and retry process
These changes significantly improve the quality of generated subtasks
and reduce the need for manual intervention when subtask generation
produces suboptimal results.
