113 lines
5.0 KiB
Plaintext
113 lines
5.0 KiB
Plaintext
# Task ID: 28
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# Title: Implement Advanced ContextManager System
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# Status: pending
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# Dependencies: 26, 27
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# Priority: high
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# Description: Create a comprehensive ContextManager class to unify context handling with advanced features like context optimization, prioritization, and intelligent context selection.
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# Details:
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Building on Phase 1 and Phase 2 context implementations, develop Phase 3 advanced context management:
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1. Implement the ContextManager Class:
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- Create a unified `ContextManager` class that encapsulates all context functionality
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- Implement methods for gathering context from all supported sources
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- Create a configurable context priority system to favor more relevant context types
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- Add token management to ensure context fits within API limits
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- Implement caching for frequently used context to improve performance
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2. Create Context Optimization Pipeline:
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- Develop intelligent context optimization algorithms
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- Implement type-based truncation strategies (code vs. text)
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- Create relevance scoring to prioritize most useful context portions
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- Add token budget allocation that divides available tokens among context types
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- Implement dynamic optimization based on operation type
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3. Add Command Interface Enhancements:
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- Create the `--context-all` flag to include all available context
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- Add the `--context-max-tokens <tokens>` option to control token allocation
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- Implement unified context options across all AI commands
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- Add intelligent default values for different command types
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4. Integrate with AI Services:
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- Update the AI service integration to use the ContextManager
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- Create specialized context assembly for different AI operations
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- Add post-processing to capture new context from AI responses
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- Implement adaptive context selection based on operation success
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5. Add Performance Monitoring:
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- Create context usage statistics tracking
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- Implement logging for context selection decisions
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- Add warnings for context token limits
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- Create troubleshooting utilities for context-related issues
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The ContextManager system should provide a powerful but easy-to-use interface for both users and developers, maintaining backward compatibility with earlier phases while adding substantial new capabilities.
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# Test Strategy:
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Testing should verify both the functionality and performance of the advanced context management:
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1. Unit Testing:
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- Test all ContextManager class methods with various inputs
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- Verify optimization algorithms maintain critical information
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- Test caching mechanisms for correctness and efficiency
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- Verify token allocation and budgeting functions
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- Test each context source integration separately
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2. Integration Testing:
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- Verify ContextManager integration with AI services
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- Test with all AI-related commands
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- Verify backward compatibility with existing context options
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- Test context prioritization across multiple context types
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- Verify logging and error handling
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3. Performance Testing:
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- Benchmark context gathering and optimization times
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- Test with large and complex context sources
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- Measure impact of caching on repeated operations
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- Verify memory usage remains acceptable
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- Test with token limits of different sizes
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4. Quality Assessment:
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- Compare AI outputs using Phase 3 vs. earlier context handling
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- Measure improvements in context relevance and quality
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- Test complex scenarios requiring multiple context types
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- Quantify the impact on token efficiency
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5. User Experience Testing:
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- Verify CLI options are intuitive and well-documented
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- Test error messages are helpful for troubleshooting
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- Ensure log output provides useful insights
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- Test all convenience options like `--context-all`
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Create automated test suites for regression testing of the complete context system.
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# Subtasks:
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## 1. Implement Core ContextManager Class Structure [pending]
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### Dependencies: None
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### Description: Create a unified ContextManager class that encapsulates all context functionality with methods for gathering context from supported sources
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### Details:
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## 2. Develop Context Optimization Pipeline [pending]
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### Dependencies: None
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### Description: Create intelligent algorithms for context optimization including type-based truncation, relevance scoring, and token budget allocation
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### Details:
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## 3. Create Command Interface Enhancements [pending]
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### Dependencies: None
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### Description: Add unified context options to all AI commands including --context-all flag and --context-max-tokens for controlling allocation
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### Details:
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## 4. Integrate ContextManager with AI Services [pending]
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### Dependencies: None
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### Description: Update AI service integration to use the ContextManager with specialized context assembly for different operations
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### Details:
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## 5. Implement Performance Monitoring and Metrics [pending]
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### Dependencies: None
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### Description: Create a system for tracking context usage statistics, logging selection decisions, and providing troubleshooting utilities
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### Details:
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