chore: task management

tasks/task_061.txt

@@ -140,3 +140,135 @@ export function getClient(model) {
 6. **SDK-Specific Tests**:
    - Validate the behavior of `generateText` and `streamText` functions for supported models.
    - Test compatibility with serverless and edge deployments.
+
+# Subtasks:
+## 1. Create Configuration Management Module [pending]
+### Dependencies: None
+### Description: Develop a centralized configuration module to manage AI model settings and preferences, leveraging the Strategy pattern for model selection.
+### Details:
+1. Create a new `config-manager.js` module to handle model configuration
+2. Implement functions to read/write model preferences to a local config file
+3. Define model validation logic with clear error messages
+4. Create mapping of valid models for main and research operations
+5. Implement getters and setters for model configuration
+6. Add utility functions to validate model names against available options
+7. Include default fallback models
+8. Testing approach: Write unit tests to verify config reading/writing and model validation logic
+
+## 2. Implement CLI Command Parser for Model Management [pending]
+### Dependencies: 61.1
+### Description: Extend the CLI command parser to handle the new 'models' command and associated flags for model management.
+### Details:
+1. Update the CLI command parser to recognize the 'models' command
+2. Add support for '--set-main' and '--set-research' flags
+3. Implement validation for command arguments
+4. Create help text and usage examples for the models command
+5. Add error handling for invalid command usage
+6. Connect CLI parser to the configuration manager
+7. Implement command output formatting for model listings
+8. Testing approach: Create integration tests that verify CLI commands correctly interact with the configuration manager
+
+## 3. Integrate Vercel AI SDK and Create Client Factory [pending]
+### Dependencies: 61.1
+### Description: Set up Vercel AI SDK integration and implement a client factory pattern to create and manage AI model clients.
+### Details:
+1. Install Vercel AI SDK: `npm install @vercel/ai`
+2. Create an `ai-client-factory.js` module that implements the Factory pattern
+3. Define client creation functions for each supported model (Claude, OpenAI, Ollama, Gemini, OpenRouter, Perplexity, Grok)
+4. Implement error handling for missing API keys or configuration issues
+5. Add caching mechanism to reuse existing clients
+6. Create a unified interface for all clients regardless of the underlying model
+7. Implement client validation to ensure proper initialization
+8. Testing approach: Mock API responses to test client creation and error handling
+
+## 4. Develop Centralized AI Services Module [pending]
+### Dependencies: 61.3
+### Description: Create a centralized AI services module that abstracts all AI interactions through a unified interface, using the Decorator pattern for adding functionality like logging and retries.
+### Details:
+1. Create `ai-services.js` module to consolidate all AI model interactions
+2. Implement wrapper functions for text generation and streaming
+3. Add retry mechanisms for handling API rate limits and transient errors
+4. Implement logging for all AI interactions for observability
+5. Create model-specific adapters to normalize responses across different providers
+6. Add caching layer for frequently used responses to optimize performance
+7. Implement graceful fallback mechanisms when primary models fail
+8. Testing approach: Create unit tests with mocked responses to verify service behavior
+
+## 5. Implement Environment Variable Management [pending]
+### Dependencies: 61.1, 61.3
+### Description: Update environment variable handling to support multiple AI models and create documentation for configuration options.
+### Details:
+1. Update `.env.example` with all required API keys for supported models
+2. Implement environment variable validation on startup
+3. Create clear error messages for missing or invalid environment variables
+4. Add support for model-specific configuration options
+5. Document all environment variables and their purposes
+6. Implement a check to ensure required API keys are present for selected models
+7. Add support for optional configuration parameters for each model
+8. Testing approach: Create tests that verify environment variable validation logic
+
+## 6. Implement Model Listing Command [pending]
+### Dependencies: 61.1, 61.2, 61.4
+### Description: Implement the 'task-master models' command to display currently configured models and available options.
+### Details:
+1. Create handler for the models command without flags
+2. Implement formatted output showing current model configuration
+3. Add color-coding for better readability using a library like chalk
+4. Include version information for each configured model
+5. Show API status indicators (connected/disconnected)
+6. Display usage examples for changing models
+7. Add support for verbose output with additional details
+8. Testing approach: Create integration tests that verify correct output formatting and content
+
+## 7. Implement Model Setting Commands [pending]
+### Dependencies: 61.1, 61.2, 61.4, 61.6
+### Description: Implement the commands to set main and research models with proper validation and feedback.
+### Details:
+1. Create handlers for '--set-main' and '--set-research' flags
+2. Implement validation logic for model names
+3. Add clear error messages for invalid model selections
+4. Implement confirmation messages for successful model changes
+5. Add support for setting both models in a single command
+6. Implement dry-run option to validate without making changes
+7. Add verbose output option for debugging
+8. Testing approach: Create integration tests that verify model setting functionality with various inputs
+
+## 8. Update Main Task Processing Logic [pending]
+### Dependencies: 61.4, 61.5
+### Description: Refactor the main task processing logic to use the new AI services module and support dynamic model selection.
+### Details:
+1. Update task processing functions to use the centralized AI services
+2. Implement dynamic model selection based on configuration
+3. Add error handling for model-specific failures
+4. Implement graceful degradation when preferred models are unavailable
+5. Update prompts to be model-agnostic where possible
+6. Add telemetry for model performance monitoring
+7. Implement response validation to ensure quality across different models
+8. Testing approach: Create integration tests that verify task processing with different model configurations
+
+## 9. Update Research Processing Logic [pending]
+### Dependencies: 61.4, 61.5, 61.8
+### Description: Refactor the research processing logic to use the new AI services module and support dynamic model selection for research operations.
+### Details:
+1. Update research functions to use the centralized AI services
+2. Implement dynamic model selection for research operations
+3. Add specialized error handling for research-specific issues
+4. Optimize prompts for research-focused models
+5. Implement result caching for research operations
+6. Add support for model-specific research parameters
+7. Create fallback mechanisms for research operations
+8. Testing approach: Create integration tests that verify research functionality with different model configurations
+
+## 10. Create Comprehensive Documentation and Examples [pending]
+### Dependencies: 61.6, 61.7, 61.8, 61.9
+### Description: Develop comprehensive documentation for the new model management features, including examples, troubleshooting guides, and best practices.
+### Details:
+1. Update README.md with new model management commands
+2. Create usage examples for all supported models
+3. Document environment variable requirements for each model
+4. Create troubleshooting guide for common issues
+5. Add performance considerations and best practices
+6. Document API key acquisition process for each supported service
+7. Create comparison chart of model capabilities and limitations
+8. Testing approach: Conduct user testing with the documentation to ensure clarity and completeness
+