LLM Council

Karpathy's LLM Council pattern, provider-agnostic. dair-academy's version hardcoded Fireworks; ours reads any OpenAI-compatible endpoint via env.

When to use

• High-stakes plan review (/plan crosses N-file threshold)
• Conflicting learning-rules → re-resolve via vote
• User invokes /council "<query>" or /wiki council
• Architecture decisions where you want multiple viewpoints captured
• Persisting deliberation as a wiki page for future reference

Three phases

1. Independent: each model answers in parallel
2. Ranking: each model ranks anonymized peer responses
3. Synthesis: chairman model reads all responses + rankings → final answer

Provider config