142 lines
5.1 KiB
Markdown
142 lines
5.1 KiB
Markdown
# Phase 2: AI Integration and AI Chat Extension
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**Timeline: Weeks 5-10**
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This phase focuses on implementing the AI integration and developing the AI Chat extension with personality selector.
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## Week 5-6: AI Integration Framework
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### Claude Integration
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- [ ] Research Claude API capabilities and limitations
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- [ ] Set up Claude API authentication
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- [ ] Implement Claude API client wrapper
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- [ ] Create model selection interface
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- [ ] Implement context window management
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- [ ] Design streaming response handling
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### LM Studio Integration
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- [ ] Set up integration with LM Studio for local models
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- [ ] Implement model selection and management interface
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- [ ] Create performance optimization for different hardware
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- [ ] Develop parameter adjustment interface
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- [ ] Test custom model loading capabilities
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### AI Provider Framework
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- [ ] Design and implement AI provider abstraction layer
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- [ ] Create provider switching mechanism
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- [ ] Implement fallback strategies
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- [ ] Design common interface for different AI providers
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- [ ] Build provider-specific optimizations
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### API Key Management
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- [ ] Design secure API key storage system
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- [ ] Implement encryption for API keys
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- [ ] Create user interface for API key management
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- [ ] Build key validation mechanism
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- [ ] Implement key rotation support
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## Week 7-8: AI Chat Extension Development
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### Conversational Interface
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- [ ] Design and implement chat interface
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- [ ] Create message threading system
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- [ ] Implement real-time message streaming
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- [ ] Build typing indicators and response status
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- [ ] Design and implement file/media attachment support
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### AI Personality Selector
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- [ ] Design personality system architecture
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- [ ] Create predefined personality profiles
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- [ ] Implement personality customization interface
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- [ ] Build personality switching mechanism
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- [ ] Develop personality parameter management
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- [ ] Implement personality persistence between sessions
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### Context Management
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- [ ] Design conversation history storage
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- [ ] Implement efficient context window management
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- [ ] Create dynamic context prioritization
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- [ ] Build context summarization for long conversations
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- [ ] Implement context attachment from other extensions
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### Chat History and Memory
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- [ ] Design and implement chat history storage
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- [ ] Create search and filtering for past conversations
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- [ ] Implement conversation export capabilities
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- [ ] Build conversation pinning and categorization
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- [ ] Develop conversation continuation from history
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## Week 9-10: AI Security and Integration
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### Chat Security
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- [ ] Implement end-to-end encryption for conversations
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- [ ] Create secure message storage
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- [ ] Design and implement deletion controls
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- [ ] Build logging and auditing features
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- [ ] Implement content filtering options
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### Extension Integration
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- [ ] Design AI extension API
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- [ ] Implement extension access to AI capabilities
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- [ ] Create context sharing between AI and extensions
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- [ ] Develop command delegation to extensions
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- [ ] Build extension communication framework
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### Command Parsing
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- [ ] Design command recognition system
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- [ ] Implement command parsing and routing
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- [ ] Create command execution framework
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- [ ] Build command help and suggestion system
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- [ ] Develop natural language command understanding
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### Privacy Controls
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- [ ] Design comprehensive privacy settings
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- [ ] Implement data retention controls
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- [ ] Create data export and deletion capabilities
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- [ ] Build privacy policy integration
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- [ ] Develop transparency reporting features
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### Performance Optimization
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- [ ] Profile AI response performance
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- [ ] Implement response caching where appropriate
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- [ ] Optimize context management for speed
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- [ ] Reduce memory consumption for long conversations
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- [ ] Implement adaptive quality settings based on device
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## Final Deliverables Checklist
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### AI Chat Extension
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- [ ] Chat interface works fluidly with real-time updates
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- [ ] AI personalities can be selected and customized
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- [ ] Conversations maintain context appropriately
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- [ ] History is properly stored and retrievable
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- [ ] Performance is optimized for different devices
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### AI Integration
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- [ ] Claude API integration functions correctly
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- [ ] LM Studio integration works for local models
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- [ ] Provider abstraction layer functions as intended
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- [ ] API keys are stored securely
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- [ ] Switching between providers works seamlessly
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### Security and Privacy
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- [ ] End-to-end encryption is properly implemented
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- [ ] Privacy controls function as expected
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- [ ] Data retention policies are enforced
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- [ ] User data is handled according to best practices
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- [ ] Security testing has been conducted
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### Documentation
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- [ ] AI Chat extension usage is documented
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- [ ] API key setup instructions are clear
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- [ ] AI capabilities and limitations are documented
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- [ ] Privacy practices are clearly explained
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- [ ] Extension integration API is documented
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## Development Standards
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- Always create unit tests for new AI functionality
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- Minimize context window usage for efficiency
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- Document all AI-related interfaces and behaviors
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- Ensure privacy by design in all AI features
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- Create meaningful and descriptive AI prompts
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- Test with multiple AI models and personalities
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