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Tasks completed: 2/2 - Created conversation data structures with Pydantic validation - Implemented intelligent context manager with hybrid compression SUMMARY: .planning/phases/01-model-interface/01-02-SUMMARY.md STATE: Updated to reflect Plan 2 completion ROADMAP: Updated Plan 2 as complete
78 lines
2.8 KiB
Markdown
78 lines
2.8 KiB
Markdown
# 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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---
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## Current Position
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| Aspect | Value |
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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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| **Model Profile** | Budget (haiku priority) |
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---
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## Key Decisions Made
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### Architecture & Approach
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- **Local-first design**: All inference, memory, and improvement happens locally — no cloud dependency
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- **Second-agent review system**: Prevents broken self-modifications while allowing auto-improvement
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- **Personality as code + learned layers**: Unshakeable core prevents misuse while allowing authentic growth
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- **v1 scope**: Core systems only (model interface, safety, memory, conversation) before adding task automation
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### Phase 1 Specifics (Model Interface)
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- **Model selection strategy**: Primary factor is available resources (CPU, RAM, GPU)
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- **Context management**: Trigger compression at 70% of window, use hybrid approach (summarize old, keep recent)
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- **Switching behavior**: Silent switching, no user notifications when changing models
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- **Failure handling**: Auto-start LM Studio if needed, try next best model automatically
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- **Discretion**: Claude determines capability tiers, compression algorithms, and degradation specifics
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---
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## Recent Work
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- **2026-01-26**: Created comprehensive roadmap with 15 phases across v1.0, v1.1, v1.2
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- **2026-01-27**: Gathered Phase 1 context and created detailed execution plan (01-01-PLAN.md)
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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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---
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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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Status: Ready to execute 01-03-PLAN.md when available.
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---
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## Blockers & Concerns
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None — all prerequisites met, dependencies identified, approach approved.
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---
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## Configuration
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**Model Profile**: budget (prioritize haiku for speed/cost)
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**Workflow Toggles**:
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- Research: enabled
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- Plan checking: enabled
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- Verification: enabled
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- Auto-push: enabled
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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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