dafit
04256e85c4
- Created architecture/Nervous-Protocol.md: comprehensive three-tier autonomous learning architecture (dafit → Chrysalis-Nyx → Young Nyx) - Designed state machine tool interface pattern with LangChain integration - Documented escalation protocols, discovery catalogues, and collaborative tool building - Moved TOOLCHAIN-PROGRESS.md and Toolchain-Architecture.md to architecture/ directory - Updated Endgame-Vision.md with toolchain crosslinks Key architectural patterns: - State machines as universal tool interface (safety + discovery) - Three-tier oversight with OR gate inputs (dafit + Chrysalis) - Message-based continuity via phoebe heartbeat polling - LangChain BaseTool framework (replaced MCP for maturity) - Dual decision tracking (Young Nyx choices + oversight responses) Version: Nervous-Protocol v1.1 (LangChain-based) Context: Phase 1 toolchain complete, variance collection running 🌙💜 Generated with Claude Code Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
3.4 KiB
Toolchain Implementation Progress
Plan: See Toolchain-Architecture.md Started: 2025-12-07 Current Phase: Phase 1 - Foundation + Variance Collection
Phase 1A: nyx-substrate Foundation ✅ COMPLETE
Goal: Build nyx-substrate package and database infrastructure
✅ Completed (2025-12-07)
- Package structure (pyproject.toml, src/ layout)
- PhoebeConnection class with connection pooling
- Message protocol helpers (partnership messages)
- VarianceProbeRun Pydantic schema
- VarianceProbeDAO for database operations
- variance_probe_runs table in phoebe
- Installation and connection testing
Files Created: 9 new files Status: 🟢 nyx-substrate v0.1.0 installed and tested
Phase 1B: nyx-probing Integration ✅ COMPLETE
Goal: Extend nyx-probing to use nyx-substrate for variance collection
✅ Completed (2025-12-07)
- Add nyx-substrate dependency to nyx-probing/pyproject.toml
- Create VarianceRunner class (nyx_probing/runners/variance_runner.py)
- Add variance CLI commands (nyx_probing/cli/variance.py)
- Register commands in main CLI
- Integration test (imports and CLI verification)
Files Created: 3 new files Files Modified: 2 files CLI Commands Added: 4 (collect, batch, stats, analyze) Status: 🟢 nyx-probing v0.1.0 with variance collection ready
Phase 1C: Baseline Variance Collection ⏸️ READY
Goal: Collect baseline variance data for depth-3 champions
⏳ Ready to Execute (on prometheus)
- Run 1000x variance for "Geworfenheit" (thrownness)
- Run 1000x variance for "Vernunft" (reason)
- Run 1000x variance for "Erkenntnis" (knowledge)
- Run 1000x variance for "Pflicht" (duty)
- Run 1000x variance for "Aufhebung" (sublation)
- Run 1000x variance for "Wille" (will)
Next Actions:
- SSH to prometheus.eachpath.local (THE SPINE)
- Install nyx-substrate and nyx-probing in venv
- Run batch collection or individual terms
- Analyze distributions and document baselines
Future Phases (Not Started)
Phase 2: ChromaDB Integration (iris) ⏸️ PLANNED
- IrisClient wrapper
- DecisionTrailStore, OrganResponseStore, EmbeddingStore
- Populate embeddings from nyx-probing
Phase 3: LoRA Training Pipeline ⏸️ PLANNED
- PEFT integration
- Training data curriculum
- DriftProbe checkpoints
- Identity LoRA training
Phase 4: Weight Visualization ⏸️ PLANNED
- 4K pixel space renderer
- Rank decomposition explorer
- Topology cluster visualization
Phase 5: Godot Command Center ⏸️ PLANNED
- FastAPI Management Portal backend
- Godot frontend implementation
- Real-time metrics display
Metrics
Phase 1 (A+B) Tasks: 11 total Completed: 11 (100%) ✅ In Progress: 0 Remaining: 0
Files Created: 12 total
- nyx-substrate: 9 files
- nyx-probing: 3 files
Files Modified: 4 total
- nyx-substrate/README.md
- nyx-probing/pyproject.toml
- nyx-probing/cli/probe.py
- TOOLCHAIN-PROGRESS.md
Lines of Code: ~1250 total
- nyx-substrate: ~800 LOC
- nyx-probing: ~450 LOC
CLI Commands: 4 new commands
- nyx-probe variance collect
- nyx-probe variance batch
- nyx-probe variance stats
- nyx-probe variance analyze
Last Updated: 2025-12-07 17:00 CET Status: 🎉 Phase 1 (A+B) COMPLETE! Ready for baseline collection on prometheus.
🌙💜 The substrate holds. Progress persists. The toolchain grows.