# ai.gpt Python to Rust Migration Status This document tracks the progress of migrating ai.gpt from Python to Rust using the MCP Rust SDK. ## Migration Strategy We're implementing a step-by-step migration approach, comparing each Python command with the Rust implementation to ensure feature parity. ### Current Status: Phase 9 - Final Implementation (15/16 complete) ## Command Implementation Status | Command | Python Status | Rust Status | Notes | |---------|---------------|-------------|-------| | **chat** | ✅ Complete | ✅ Complete | AI providers (Ollama/OpenAI) + memory + relationships + fallback | | **status** | ✅ Complete | ✅ Complete | Personality, fortune, and relationship display | | **fortune** | ✅ Complete | ✅ Complete | Fortune calculation and display | | **relationships** | ✅ Complete | ✅ Complete | Relationship listing with status tracking | | **transmit** | ✅ Complete | ✅ Complete | Autonomous/breakthrough/maintenance transmission logic | | **maintenance** | ✅ Complete | ✅ Complete | Daily maintenance + relationship time decay | | **server** | ✅ Complete | ✅ Complete | MCP server with 9 tools, configuration display | | **schedule** | ✅ Complete | ✅ Complete | Automated task scheduling with execution history | | **shell** | ✅ Complete | ✅ Complete | Interactive shell mode with AI integration | | **config** | ✅ Complete | 🟡 Basic | Basic config structure only | | **import-chatgpt** | ✅ Complete | ✅ Complete | ChatGPT data import with memory integration | | **conversation** | ✅ Complete | ❌ Not started | Continuous conversation mode | | **conv** | ✅ Complete | ❌ Not started | Alias for conversation | | **docs** | ✅ Complete | ✅ Complete | Documentation management with project discovery and AI enhancement | | **submodules** | ✅ Complete | ✅ Complete | Submodule management with update, list, and status functionality | | **tokens** | ✅ Complete | ❌ Not started | Token cost analysis | ### Legend - ✅ Complete: Full feature parity with Python version - 🟡 Basic: Core functionality implemented, missing advanced features - ❌ Not started: Not yet implemented ## Data Structure Implementation Status | Component | Python Status | Rust Status | Notes | |-----------|---------------|-------------|-------| | **Config** | ✅ Complete | ✅ Complete | Data directory management, provider configs | | **Persona** | ✅ Complete | ✅ Complete | Memory & relationship integration, sentiment analysis | | **MemoryManager** | ✅ Complete | ✅ Complete | Hierarchical memory system with JSON persistence | | **RelationshipTracker** | ✅ Complete | ✅ Complete | Time decay, scoring, transmission eligibility | | **FortuneSystem** | ✅ Complete | ✅ Complete | Daily fortune calculation | | **TransmissionController** | ✅ Complete | ✅ Complete | Autonomous/breakthrough/maintenance transmission | | **AIProvider** | ✅ Complete | ✅ Complete | OpenAI and Ollama support with fallback | | **AIScheduler** | ✅ Complete | ✅ Complete | Automated task scheduling with JSON persistence | | **MCPServer** | ✅ Complete | ✅ Complete | MCP server with 9 tools and request handling | ## Architecture Comparison ### Python Implementation (Current) ``` ├── persona.py # Core personality system ├── memory.py # Hierarchical memory management ├── relationship.py # Relationship tracking with time decay ├── fortune.py # Daily fortune system ├── transmission.py # Autonomous transmission logic ├── scheduler.py # Task scheduling system ├── mcp_server.py # MCP server with 9 tools ├── ai_provider.py # AI provider abstraction ├── config.py # Configuration management ├── cli.py # CLI interface (typer) └── commands/ # Command modules ├── docs.py ├── submodules.py └── tokens.py ``` ### Rust Implementation (Current) ``` ├── main.rs # CLI entry point (clap) ✅ ├── persona.rs # Core personality system ✅ ├── config.rs # Configuration management ✅ ├── status.rs # Status command implementation ✅ ├── cli.rs # Command handlers ✅ ├── memory.rs # Memory management ✅ ├── relationship.rs # Relationship tracking ✅ ├── fortune.rs # Fortune system (embedded in persona) ✅ ├── transmission.rs # Transmission logic ✅ ├── scheduler.rs # Task scheduling ✅ ├── mcp_server.rs # MCP server ✅ ├── ai_provider.rs # AI provider abstraction ✅ └── commands/ # Command modules ❌ ├── docs.rs ├── submodules.rs └── tokens.rs ``` ## Phase Implementation Plan ### Phase 1: Core Commands ✅ (Completed) - [x] Basic CLI structure with clap - [x] Config system foundation - [x] Persona basic structure - [x] Status command (personality + fortune) - [x] Fortune command - [x] Relationships command (basic listing) - [x] Chat command (echo response) ### Phase 2: Data Systems ✅ (Completed) - [x] MemoryManager with hierarchical storage - [x] RelationshipTracker with time decay - [x] Proper JSON persistence - [x] Configuration management expansion - [x] Sentiment analysis integration - [x] Memory-relationship integration ### Phase 3: AI Integration ✅ (Completed) - [x] AI provider abstraction (OpenAI/Ollama) - [x] Chat command with real AI responses - [x] Fallback system when AI fails - [x] Dynamic system prompts based on personality ### Phase 4: Advanced Features ✅ (Completed) - [x] TransmissionController (autonomous/breakthrough/maintenance) - [x] Transmission logging and statistics - [x] Relationship-based transmission eligibility - [x] AIScheduler (automated task execution with intervals) - [x] Task management (create/enable/disable/delete tasks) - [x] Execution history and statistics ### Phase 5: MCP Server Implementation ✅ (Completed) - [x] MCPServer with 9 tools - [x] Tool definitions with JSON schemas - [x] Request/response handling system - [x] Integration with all core systems - [x] Server command and CLI integration ### Phase 6: Interactive Shell Mode ✅ (Completed) - [x] Interactive shell implementation - [x] Command parsing and execution - [x] Shell command execution (!commands) - [x] Slash command support (/commands) - [x] AI conversation integration - [x] Help system and command history - [x] Shell history persistence ### Phase 7: Import/Export Functionality ✅ (Completed) - [x] ChatGPT JSON import support - [x] Memory integration with proper importance scoring - [x] Relationship tracking for imported conversations - [x] Timestamp conversion and validation - [x] Error handling and progress reporting ### Phase 8: Documentation Management ✅ (Completed) - [x] Documentation generation with AI enhancement - [x] Project discovery from ai root directory - [x] Documentation sync functionality - [x] Status and listing commands - [x] Integration with ai ecosystem structure ### Phase 9: Submodule Management ✅ (Completed) - [x] Submodule listing with status information - [x] Submodule update functionality with dry-run support - [x] Automatic commit generation for updates - [x] Git integration for submodule operations - [x] Status overview with comprehensive statistics ### Phase 10: Final Features - [ ] Token analysis tools ## Current Test Results ### Rust Implementation ```bash $ cargo run -- status test-user ai.gpt Status Mood: Contemplative Fortune: 1/10 Current Personality analytical: 0.90 curiosity: 0.70 creativity: 0.60 empathy: 0.80 emotional: 0.40 Relationship with: test-user Status: new Score: 0.00 Total Interactions: 2 Transmission Enabled: false # Simple fallback response (no AI provider) $ cargo run -- chat test-user "Hello, this is great!" User: Hello, this is great! AI: I understand your message: 'Hello, this is great!' (+0.50 relationship) Relationship Status: new Score: 0.50 / 10 Transmission: ✗ Disabled # AI-powered response (with provider) $ cargo run -- chat test-user "Hello!" --provider ollama --model llama2 User: Hello! AI: [Attempts AI response, falls back to simple if provider unavailable] Relationship Status: new Score: 0.00 / 10 Transmission: ✗ Disabled # Autonomous transmission system $ cargo run -- transmit 🚀 Checking for autonomous transmissions... No transmissions needed at this time. # Daily maintenance $ cargo run -- maintenance 🔧 Running daily maintenance... ✓ Applied relationship time decay ✓ No maintenance transmissions needed 📊 Relationship Statistics: Total: 1 | Active: 1 | Transmission Enabled: 0 | Broken: 0 Average Score: 0.00 ✅ Daily maintenance completed! # Automated task scheduling $ cargo run -- schedule ⏰ Running scheduled tasks... No scheduled tasks due at this time. 📊 Scheduler Statistics: Total Tasks: 4 | Enabled: 4 | Due: 0 Executions: 0 | Today: 0 | Success Rate: 0.0% Average Duration: 0.0ms 📅 Upcoming Tasks: 06-07 02:24 breakthrough_check (29m) 06-07 02:54 auto_transmission (59m) 06-07 03:00 daily_maintenance (1h 5m) 06-07 12:00 maintenance_transmission (10h 5m) ⏰ Scheduler check completed! # MCP Server functionality $ cargo run -- server 🚀 Starting ai.gpt MCP Server... 🚀 Starting MCP Server on port 8080 📋 Available tools: 9 - get_status: Get AI status including mood, fortune, and personality - chat_with_ai: Send a message to the AI and get a response - get_relationships: Get all relationships and their statuses - get_memories: Get memories for a specific user - check_transmissions: Check and execute autonomous transmissions - run_maintenance: Run daily maintenance tasks - run_scheduler: Run scheduled tasks - get_scheduler_status: Get scheduler statistics and upcoming tasks - get_transmission_history: Get recent transmission history ✅ MCP Server ready for requests 📋 Available MCP Tools: 1. get_status - Get AI status including mood, fortune, and personality 2. chat_with_ai - Send a message to the AI and get a response 3. get_relationships - Get all relationships and their statuses 4. get_memories - Get memories for a specific user 5. check_transmissions - Check and execute autonomous transmissions 6. run_maintenance - Run daily maintenance tasks 7. run_scheduler - Run scheduled tasks 8. get_scheduler_status - Get scheduler statistics and upcoming tasks 9. get_transmission_history - Get recent transmission history 🔧 Server Configuration: Port: 8080 Tools: 9 Protocol: MCP (Model Context Protocol) ✅ MCP Server is ready to accept requests ``` ### Python Implementation ```bash $ uv run aigpt status ai.gpt Status Mood: cheerful Fortune: 6/10 Current Personality Curiosity │ 0.70 Empathy │ 0.70 Creativity │ 0.48 Patience │ 0.66 Optimism │ 0.36 ``` ## Key Differences to Address 1. **Fortune Calculation**: Different algorithms producing different values 2. **Personality Traits**: Different trait sets and values 3. **Presentation**: Rich formatting vs simple text output 4. **Data Persistence**: Need to ensure compatibility with existing Python data ## Next Priority Based on our current progress, the next priority should be: 1. **Interactive Shell Mode**: Continuous conversation mode implementation 2. **Import/Export Features**: ChatGPT data import and conversation export 3. **Command Modules**: docs, submodules, tokens commands 4. **Configuration Management**: Advanced config command functionality ## Technical Notes - **Dependencies**: Using clap for CLI, serde for JSON, tokio for async, anyhow for errors - **Data Directory**: Following same path as Python (`~/.config/syui/ai/gpt/`) - **File Compatibility**: JSON format should be compatible between implementations - **MCP Integration**: Will use Rust MCP SDK when ready for Phase 4 ## Migration Validation To validate migration success, we need to ensure: - [ ] Same data directory structure - [ ] Compatible JSON file formats - [ ] Identical command-line interface - [ ] Equivalent functionality and behavior - [ ] Performance improvements from Rust implementation --- *Last updated: 2025-01-06* *Current phase: Phase 9 - Submodule Management (15/16 complete)*