docs(01-03): complete intelligent model switching integration
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Tasks completed: 3/3 - ModelManager with intelligent selection and switching - Core Mai orchestration class - CLI interface for testing and monitoring SUMMARY: .planning/phases/01-model-interface/01-03-SUMMARY.md Phase 1 complete - model interface foundation ready for Phase 2: Safety & Sandboxing
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Mai Development
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# Project State & Progress
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**Last Updated:** 2026-01-27
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**Current Status:** Phase 1, Plan 2 complete - conversation context management implemented
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**Current Status:** Phase 1 complete - intelligent model switching implemented
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---
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|--------|-------|
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| **Milestone** | v1.0 Core (Phases 1-5) |
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| **Current Phase** | 01: Model Interface & Switching |
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| **Current Plan** | 02 of 3 (in phase) |
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| **Overall Progress** | 2/15 phases complete |
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| **Progress Bar** | ████░░░░░░░░ 13% |
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| **Current Plan** | 3 of 3 (phase complete) |
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| **Overall Progress** | 1/15 phases complete |
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| **Progress Bar** | █████░░░░░░░░░ 20% |
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| **Model Profile** | Budget (haiku priority) |
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---
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- **2026-01-27**: Configured GSD workflow with MCP tools (Hugging Face, WebSearch)
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- **2026-01-27**: **EXECUTED** Phase 1, Plan 1 - Created LM Studio connectivity and resource monitoring foundation
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- **2026-01-27**: **EXECUTED** Phase 1, Plan 2 - Implemented conversation context management and memory system
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- **2026-01-27**: **EXECUTED** Phase 1, Plan 3 - Integrated intelligent model switching and CLI interface
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---
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## What's Next
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**Phase 1, Plan 3: Intelligent model switching integration**
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- Implement model selection based on system resources
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- Create seamless switching between LM Studio models
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- Add context preservation during model changes
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- Implement failure recovery and fallback mechanisms
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Phase 1 complete. Ready for Phase 2: Safety & Sandboxing
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Status: Ready to execute 01-03-PLAN.md when available.
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Next phase requirements:
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- Implement sandbox execution environment for generated code
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- Multi-level security assessment (LOW/MEDIUM/HIGH/BLOCKED)
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- Audit logging with tamper detection
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- Resource-limited container execution
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Status: Ready to execute 02-01-PLAN.md when available.
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---
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**MCP Integration**:
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- Hugging Face Hub: enabled (model discovery, datasets, papers)
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- Web Research: enabled (current practices, architecture patterns)
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- Web Research: enabled (current practices, architecture patterns)
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## Session Continuity
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Last session: 2026-01-27T17:34:30Z
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Stopped at: Completed 01-03-PLAN.md
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Resume file: None
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---
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phase: 01-model-interface
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plan: 03
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subsystem: models, orchestration, cli
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tags: [intelligent-switching, model-manager, resource-monitoring, context-preservation, argparse]
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# Dependency graph
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requires:
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- phase: 01-model-interface
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plan: 01
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provides: "LM Studio connectivity and resource monitoring foundation"
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- phase: 01-model-interface
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plan: 02
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provides: "Conversation context management and memory system"
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provides:
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- Intelligent model selection and switching logic based on resources and context
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- Core Mai orchestration class coordinating all subsystems
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- CLI entry point for testing model switching and monitoring
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- Integrated system with seamless conversation processing
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affects: [02-safety, 03-resource-management, 05-conversation-engine]
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# Tech tracking
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tech-stack:
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added: [argparse for CLI, asyncio for async operations, yaml for configuration]
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patterns: [Model selection algorithms, silent switching, fallback chains, orchestration pattern]
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key-files:
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created: [src/models/model_manager.py, src/mai.py, src/__main__.py]
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modified: []
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key-decisions:
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- "Used async/await patterns for model switching to prevent blocking"
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- "Implemented silent switching per CONTEXT.md - no user notifications"
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- "Created comprehensive fallback chains for model failures"
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- "Designed ModelManager as central coordinator for all model operations"
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- "Built CLI with argparse following standard Python patterns"
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- "Added resource-aware model selection with scoring system"
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- "Implemented graceful degradation when no models fit constraints"
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patterns-established:
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- "Pattern 1: Intelligent Model Selection - Score-based selection considering resources, capabilities, and recent failures"
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- "Pattern 2: Silent Model Switching - Seamless transitions without user notification"
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- "Pattern 3: Fallback Chains - Automatic switching to smaller models on failure"
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- "Pattern 4: Orchestration Pattern - Mai class delegates to specialized subsystems"
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- "Pattern 5: CLI Command Pattern - Subparser-based command structure with help"
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# Metrics
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duration: 16 min
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completed: 2026-01-27
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---
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# Phase 1 Plan 3: Intelligent Model Switching Integration Summary
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**Integrated all components into intelligent model switching system with silent transitions and CLI interface**
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## Performance
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- **Duration:** 16 min
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- **Started:** 2026-01-27T17:18:35Z
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- **Completed:** 2026-01-27T17:34:30Z
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- **Tasks:** 3
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- **Files modified:** 3
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## Accomplishments
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- Created comprehensive ModelManager class with intelligent resource-based model selection
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- Implemented silent model switching with fallback chains and failure recovery
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- Built core Mai orchestration class coordinating all subsystems
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- Created full-featured CLI interface with chat, status, models, and switch commands
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- Integrated context preservation during model switches
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- Added automatic retry and graceful degradation capabilities
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## Task Commits
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Each task was committed atomically:
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1. **Task 1: Implement ModelManager with intelligent switching** - `0b7b527` (feat)
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2. **Task 2: Create core Mai orchestration class** - `24ae542` (feat)
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3. **Task 3: Create CLI entry point for testing** - `5297df8` (feat)
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**Plan metadata:** `89b0c8d` (docs: complete plan)
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## Files Created/Modified
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- `src/models/model_manager.py` - Intelligent model selection and switching system with resource awareness, fallback chains, and silent transitions
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- `src/mai.py` - Core orchestration class coordinating ModelManager, ContextManager, and subsystems with async support
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- `src/__main__.py` - CLI entry point with argparse providing chat, status, models listing, and model switching commands
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## Decisions Made
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- Used async/await patterns for model switching to prevent blocking operations
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- Implemented silent switching per CONTEXT.md requirements - no user notifications for model changes
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- Created comprehensive fallback chains from large to medium to small models
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- Designed ModelManager as central coordinator for all model operations and state
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- Built CLI with standard argparse patterns including subcommands and help
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- Added resource-aware model selection with scoring system considering capabilities and recent failures
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- Implemented graceful degradation when system resources cannot accommodate any model
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## Deviations from Plan
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None - plan executed exactly as written.
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## Issues Encountered
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None - all verification tests passed successfully.
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## User Setup Required
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None - no external service configuration required.
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## Next Phase Readiness
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Model interface foundation is complete and ready:
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- ModelManager can intelligently select models based on system resources and conversation context
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- Silent model switching works seamlessly with proper context preservation
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- Fallback chains provide graceful degradation when primary models fail
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- Mai orchestration class coordinates all subsystems effectively
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- CLI interface provides comprehensive testing and monitoring capabilities
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- System handles errors gracefully with automatic retry and resource cleanup
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All verification tests passed:
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- ✓ ModelManager can select appropriate models based on resources
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- ✓ Conversation processing works with automatic model switching
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- ✓ CLI interface allows testing chat and system monitoring
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- ✓ Context is preserved during model switches
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- ✓ System gracefully handles model loading failures
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- ✓ Resource monitoring triggers appropriate model changes
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Foundation ready for integration with safety and memory systems in Phase 2.
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---
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*Phase: 01-model-interface*
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*Completed: 2026-01-27*
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