docs(01-03): complete intelligent model switching integration

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

.planning/STATE.md

@@ -1,7 +1,7 @@
 # Project State & Progress
 
 **Last Updated:** 2026-01-27
-**Current Status:** Phase 1, Plan 2 complete - conversation context management implemented
+**Current Status:** Phase 1 complete - intelligent model switching implemented
 
 ---
 
@@ -11,9 +11,9 @@
 |--------|-------|
 | **Milestone** | v1.0 Core (Phases 1-5) |
 | **Current Phase** | 01: Model Interface & Switching |
-| **Current Plan** | 02 of 3 (in phase) |
+| **Current Plan** | 3 of 3 (phase complete) |
-| **Overall Progress** | 2/15 phases complete |
+| **Overall Progress** | 1/15 phases complete |
-| **Progress Bar** | ████░░░░░░░░ 13% |
+| **Progress Bar** | █████░░░░░░░░░ 20% |
 | **Model Profile** | Budget (haiku priority) |
 
 ---
@@ -42,18 +42,19 @@
 - **2026-01-27**: Configured GSD workflow with MCP tools (Hugging Face, WebSearch)
 - **2026-01-27**: **EXECUTED** Phase 1, Plan 1 - Created LM Studio connectivity and resource monitoring foundation
 - **2026-01-27**: **EXECUTED** Phase 1, Plan 2 - Implemented conversation context management and memory system
-
+- **2026-01-27**: **EXECUTED** Phase 1, Plan 3 - Integrated intelligent model switching and CLI interface
 ---
-
 ## What's Next
 
-**Phase 1, Plan 3: Intelligent model switching integration**
+Phase 1 complete. Ready for Phase 2: Safety & Sandboxing
-- Implement model selection based on system resources
-- Create seamless switching between LM Studio models
-- Add context preservation during model changes
-- Implement failure recovery and fallback mechanisms
 
-Status: Ready to execute 01-03-PLAN.md when available.
+Next phase requirements:
+- Implement sandbox execution environment for generated code
+- Multi-level security assessment (LOW/MEDIUM/HIGH/BLOCKED)
+- Audit logging with tamper detection
+- Resource-limited container execution
+
+Status: Ready to execute 02-01-PLAN.md when available.
 
 ---
 
@@ -74,4 +75,10 @@ None — all prerequisites met, dependencies identified, approach approved.
 
 **MCP Integration**:
 - Hugging Face Hub: enabled (model discovery, datasets, papers)
-- Web Research: enabled (current practices, architecture patterns)
+ - Web Research: enabled (current practices, architecture patterns)
+
+## Session Continuity
+
+Last session: 2026-01-27T17:34:30Z
+Stopped at: Completed 01-03-PLAN.md
+Resume file: None

.planning/phases/01-model-interface/01-03-SUMMARY.md

@@ -0,0 +1,131 @@
+---
+phase: 01-model-interface
+plan: 03
+subsystem: models, orchestration, cli
+tags: [intelligent-switching, model-manager, resource-monitoring, context-preservation, argparse]
+
+# Dependency graph
+requires:
+  - phase: 01-model-interface
+    plan: 01
+    provides: "LM Studio connectivity and resource monitoring foundation"
+  - phase: 01-model-interface
+    plan: 02
+    provides: "Conversation context management and memory system"
+provides:
+  - Intelligent model selection and switching logic based on resources and context
+  - Core Mai orchestration class coordinating all subsystems
+  - CLI entry point for testing model switching and monitoring
+  - Integrated system with seamless conversation processing
+affects: [02-safety, 03-resource-management, 05-conversation-engine]
+
+# Tech tracking
+tech-stack:
+  added: [argparse for CLI, asyncio for async operations, yaml for configuration]
+  patterns: [Model selection algorithms, silent switching, fallback chains, orchestration pattern]
+
+key-files:
+  created: [src/models/model_manager.py, src/mai.py, src/__main__.py]
+  modified: []
+
+key-decisions:
+  - "Used async/await patterns for model switching to prevent blocking"
+  - "Implemented silent switching per CONTEXT.md - no user notifications"
+  - "Created comprehensive fallback chains for model failures"
+  - "Designed ModelManager as central coordinator for all model operations"
+  - "Built CLI with argparse following standard Python patterns"
+  - "Added resource-aware model selection with scoring system"
+  - "Implemented graceful degradation when no models fit constraints"
+
+patterns-established:
+  - "Pattern 1: Intelligent Model Selection - Score-based selection considering resources, capabilities, and recent failures"
+  - "Pattern 2: Silent Model Switching - Seamless transitions without user notification"
+  - "Pattern 3: Fallback Chains - Automatic switching to smaller models on failure"
+  - "Pattern 4: Orchestration Pattern - Mai class delegates to specialized subsystems"
+  - "Pattern 5: CLI Command Pattern - Subparser-based command structure with help"
+
+# Metrics
+duration: 16 min
+completed: 2026-01-27
+---
+
+# Phase 1 Plan 3: Intelligent Model Switching Integration Summary
+
+**Integrated all components into intelligent model switching system with silent transitions and CLI interface**
+
+## Performance
+
+- **Duration:** 16 min
+- **Started:** 2026-01-27T17:18:35Z
+- **Completed:** 2026-01-27T17:34:30Z
+- **Tasks:** 3
+- **Files modified:** 3
+
+## Accomplishments
+- Created comprehensive ModelManager class with intelligent resource-based model selection
+- Implemented silent model switching with fallback chains and failure recovery
+- Built core Mai orchestration class coordinating all subsystems
+- Created full-featured CLI interface with chat, status, models, and switch commands
+- Integrated context preservation during model switches
+- Added automatic retry and graceful degradation capabilities
+
+## Task Commits
+
+Each task was committed atomically:
+
+1. **Task 1: Implement ModelManager with intelligent switching** - `0b7b527` (feat)
+2. **Task 2: Create core Mai orchestration class** - `24ae542` (feat)
+3. **Task 3: Create CLI entry point for testing** - `5297df8` (feat)
+
+**Plan metadata:** `89b0c8d` (docs: complete plan)
+
+## Files Created/Modified
+- `src/models/model_manager.py` - Intelligent model selection and switching system with resource awareness, fallback chains, and silent transitions
+- `src/mai.py` - Core orchestration class coordinating ModelManager, ContextManager, and subsystems with async support
+- `src/__main__.py` - CLI entry point with argparse providing chat, status, models listing, and model switching commands
+
+## Decisions Made
+
+- Used async/await patterns for model switching to prevent blocking operations
+- Implemented silent switching per CONTEXT.md requirements - no user notifications for model changes
+- Created comprehensive fallback chains from large to medium to small models
+- Designed ModelManager as central coordinator for all model operations and state
+- Built CLI with standard argparse patterns including subcommands and help
+- Added resource-aware model selection with scoring system considering capabilities and recent failures
+- Implemented graceful degradation when system resources cannot accommodate any model
+
+## Deviations from Plan
+
+None - plan executed exactly as written.
+
+## Issues Encountered
+
+None - all verification tests passed successfully.
+
+## User Setup Required
+
+None - no external service configuration required.
+
+## Next Phase Readiness
+
+Model interface foundation is complete and ready:
+- ModelManager can intelligently select models based on system resources and conversation context
+- Silent model switching works seamlessly with proper context preservation
+- Fallback chains provide graceful degradation when primary models fail
+- Mai orchestration class coordinates all subsystems effectively
+- CLI interface provides comprehensive testing and monitoring capabilities
+- System handles errors gracefully with automatic retry and resource cleanup
+
+All verification tests passed:
+- ✓ ModelManager can select appropriate models based on resources
+- ✓ Conversation processing works with automatic model switching  
+- ✓ CLI interface allows testing chat and system monitoring
+- ✓ Context is preserved during model switches
+- ✓ System gracefully handles model loading failures
+- ✓ Resource monitoring triggers appropriate model changes
+
+Foundation ready for integration with safety and memory systems in Phase 2.
+
+---
+*Phase: 01-model-interface*
+*Completed: 2026-01-27*