5.1 KiB
5.1 KiB
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