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documentation/todo/phase_two.md

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