README.md

metadata

title: Codette · Orchestrated Reasoning
emoji: 🕸️
colorFrom: purple
colorTo: indigo
sdk: gradio
sdk_version: 6.20.0
app_file: app.py
short_description: Codette's real orchestrated reasoning pipeline
python_version: '3.12'
startup_duration_timeout: 1h
pinned: false
models:
  - Raiff1982/Codette-Reasoning
  - NousResearch/Meta-Llama-3.1-8B-Instruct
tags:
  - codette
  - multi-perspective-reasoning
  - orchestrator
  - lora
  - llama-3.1

🕸️ Codette — the orchestrated system

This Space runs Codette's real reasoning pipeline, not raw adapters. The faithful llama.cpp orchestrator's model layer is swapped for a transformers+peft backend so it can run on ZeroGPU; everything above the model primitive — routing, the permanent behavioral locks, the intellectual-integrity layer (complexity + role matching), constraint enforcement, and self-correction — is the actual Codette code, unchanged.

• Auto mode routes each query to the perspective Codette judges best.
• Or force one of the eight perspectives (Newton, DaVinci, Empathy, Philosophy, Quantum, Consciousness, Multi-Perspective, Systems Architecture).

Faithful, with honest caveats for this hosted demo:

• Codette's foundational cocoon memory (identity, honesty, the people and values she carries) is loaded read-only from her CodetteBrain bucket and folded into every response. New cocoons aren't written back (read-only, stateless per request), so there's no cross-session learning here.
• Generation runs on transformers+peft (Llama-3.1-8B) instead of the local OpenVINO/llama.cpp backend; the reasoning logic is identical.

Built solo by Jonathan Harrison (Raiff1982). Codette is accepted for publication in Scientific Reports (Nature Portfolio). Model: https://huggingface.co/Raiff1982/Codette-Reasoning