223 lines
8.4 KiB
Markdown
223 lines
8.4 KiB
Markdown
# Story 6.3: Build Context Management System
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## Story Information
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- **Epic/Task**: Task 6 - Develop AI Integration Layer
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- **Story Number**: 6.3
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- **Title**: Build Context Management System
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- **Status**: Ready
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- **Complexity**: High
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- **Priority**: Medium
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- **Dependencies**: Tasks 6.1, 6.2 (6.1 completed, 6.2 ready)
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## Story Statement
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As the Directus Task Management system, I need a robust context management system that maintains conversation history, tracks user preferences, manages project-specific context, and enables intelligent context-aware responses so that AI agents can provide relevant and consistent assistance across multiple interactions and sessions.
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## Acceptance Criteria
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1. [ ] Context storage system persists conversation history across sessions
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2. [ ] User preference tracking maintains individual settings and patterns
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3. [ ] Project context management links tasks to relevant project information
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4. [ ] Session management handles multiple concurrent user sessions
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5. [ ] Context retrieval achieves sub-100ms response time for recent contexts
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6. [ ] Memory pruning prevents unlimited context growth (configurable limits)
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7. [ ] Context versioning allows rollback to previous states
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8. [ ] Privacy controls enable users to manage their stored context
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9. [ ] Context export/import functionality for backup and migration
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10. [ ] Integration tests validate context persistence and retrieval
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## Dev Notes
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### Architecture Context References
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- **[Source: Story 6.1]** - AI Task Service with context tracking implemented
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- **[Source: architecture.md#task_ai_contexts]** - Context storage schema defined
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- **[Source: Story 6.2]** - NLP system will generate context-rich data
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### Previous Story Insights
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- Story 6.1: Established `TaskAIContextEntity` for storing AI context
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- LangChain memory management patterns already implemented
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- Redis caching available for fast context retrieval
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- Token usage tracking helps manage context size
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### Context Management Architecture
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**Core Components**:
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```typescript
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interface ContextManagementSystem {
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// Storage layer
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contextStore: ContextStorageService;
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// Memory management
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conversationMemory: ConversationMemoryService;
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workingMemory: WorkingMemoryService;
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longTermMemory: LongTermMemoryService;
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// Retrieval and search
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contextRetriever: ContextRetrievalService;
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semanticSearch: SemanticSearchService;
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// Lifecycle management
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contextLifecycle: ContextLifecycleService;
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pruningEngine: MemoryPruningService;
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}
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```
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**Context Types**:
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- **Conversation Context**: Chat history, Q&A pairs, command history
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- **User Context**: Preferences, patterns, frequently used features
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- **Project Context**: Active projects, task relationships, dependencies
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- **System Context**: Current state, active workflows, pending operations
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- **Temporal Context**: Time-based relevance, deadline awareness
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### Memory Hierarchy
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1. **Working Memory** (Redis): Active session, last 10 interactions
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2. **Short-term Memory** (PostgreSQL): Recent 7 days, frequently accessed
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3. **Long-term Memory** (PostgreSQL + compression): Historical data, searchable
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4. **Archive** (S3/File storage): Exported contexts, backups
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### File Locations
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Based on existing project structure:
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- **Context Services**: `src/services/context/` - Context management services
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- **Memory Services**: `src/services/context/memory/` - Memory implementations
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- **Storage**: `src/services/context/storage/` - Storage adapters
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- **Retrieval**: `src/services/context/retrieval/` - Retrieval services
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- **Tests**: `tests/services/context/` - Context service tests
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### Technical Constraints
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- Must integrate with existing TaskAIContextEntity
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- Maintain sub-100ms retrieval for active contexts
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- Implement GDPR-compliant data management
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- Use existing Redis and PostgreSQL infrastructure
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- Handle concurrent multi-user sessions
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- Respect token limits for AI models
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### Testing Requirements
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- Unit tests for each context component
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- Performance tests for retrieval speed
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- Concurrency tests for multi-user scenarios
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- Memory leak tests for long-running sessions
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- Data integrity tests for persistence
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- Privacy compliance tests
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## Tasks / Subtasks
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### Task 1: Set up Context Management Infrastructure (AC: 1)
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- [ ] Create `src/services/context/context-management.service.ts`
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- [ ] Define context interfaces and types
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- [ ] Set up context configuration with environment variables
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- [ ] Implement base context storage adapter pattern
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- [ ] Add context-specific error handling
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### Task 2: Implement Conversation Memory Service (AC: 1, 4)
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- [ ] Create `src/services/context/memory/conversation-memory.service.ts`
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- [ ] Implement conversation history tracking
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- [ ] Add message pairing (user input + AI response)
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- [ ] Create session isolation for concurrent users
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- [ ] Implement conversation summarization for long chats
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### Task 3: Build Working Memory System (AC: 5)
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- [ ] Create `src/services/context/memory/working-memory.service.ts`
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- [ ] Implement Redis-based fast memory store
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- [ ] Add LRU cache for most recent contexts
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- [ ] Create memory snapshots for persistence
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- [ ] Implement memory merge strategies
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### Task 4: Develop Long-term Memory Service (AC: 1, 6)
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- [ ] Create `src/services/context/memory/long-term-memory.service.ts`
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- [ ] Implement PostgreSQL storage with compression
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- [ ] Add memory indexing for fast retrieval
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- [ ] Create memory pruning algorithms
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- [ ] Implement importance scoring for retention
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### Task 5: Create Context Retrieval System (AC: 5)
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- [ ] Create `src/services/context/retrieval/context-retrieval.service.ts`
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- [ ] Implement multi-tier retrieval strategy
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- [ ] Add semantic similarity search using embeddings
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- [ ] Create relevance ranking algorithms
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- [ ] Implement context aggregation from multiple sources
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### Task 6: Build User Preference Tracking (AC: 2)
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- [ ] Create `src/services/context/user-preference.service.ts`
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- [ ] Implement preference learning from interactions
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- [ ] Add pattern recognition for user behavior
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- [ ] Create preference persistence and retrieval
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- [ ] Implement preference-based customization
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### Task 7: Implement Project Context Management (AC: 3)
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- [ ] Create `src/services/context/project-context.service.ts`
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- [ ] Link tasks to project contexts
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- [ ] Implement project state tracking
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- [ ] Add cross-project context sharing
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- [ ] Create project context inheritance
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### Task 8: Add Context Versioning System (AC: 7)
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- [ ] Create `src/services/context/versioning/context-version.service.ts`
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- [ ] Implement version tracking for context changes
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- [ ] Add rollback functionality
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- [ ] Create diff generation between versions
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- [ ] Implement version pruning policies
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### Task 9: Implement Privacy Controls (AC: 8)
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- [ ] Create `src/services/context/privacy/privacy-control.service.ts`
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- [ ] Add user consent management
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- [ ] Implement context deletion on request
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- [ ] Create anonymization functions
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- [ ] Add audit logging for privacy operations
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### Task 10: Build Export/Import System (AC: 9)
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- [ ] Create `src/services/context/migration/export-import.service.ts`
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- [ ] Implement context export to JSON/CSV
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- [ ] Add import with validation
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- [ ] Create backup scheduling
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- [ ] Implement migration between systems
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### Task 11: Create Context API Endpoints
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- [ ] Add GET `/api/context/conversation/:sessionId`
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- [ ] Add POST `/api/context/save`
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- [ ] Add DELETE `/api/context/clear/:userId`
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- [ ] Add GET `/api/context/export/:userId`
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- [ ] Implement proper authentication and authorization
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### Task 12: Write Tests (AC: 10)
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- [ ] Create unit tests for memory services
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- [ ] Create integration tests for context persistence
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- [ ] Add performance tests for retrieval
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- [ ] Create concurrency tests
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- [ ] Achieve 80% code coverage
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### Task 13: Documentation and Monitoring
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- [ ] Create context management guide
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- [ ] Add monitoring metrics for memory usage
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- [ ] Document privacy compliance
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- [ ] Create troubleshooting guide
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- [ ] Add performance tuning documentation
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## Project Structure Notes
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- Extends AI infrastructure from Stories 6.1 and 6.2
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- Uses existing Redis and PostgreSQL setup
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- Maintains TypeORM entity patterns
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- Integrates with LangChain memory management
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## Dev Agent Record
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*To be filled by implementing agent*
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### File List
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**Created:**
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**Modified:**
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### Implementation Notes
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*To be filled during implementation*
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### Challenges Encountered
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*To be filled during implementation*
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### Technical Decisions
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*To be filled during implementation*
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### Completion Notes
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*To be filled upon completion*
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---
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*Story created by: Bob (Scrum Master)
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Date: 2025-08-12* |