llm-council

name	llm-council
description	Multi-model deliberation system. Sends queries to multiple LLMs simultaneously, has them peer-review each other's responses anonymously, then a chairman model synthesizes the best answer. Supports configurable council composition, voting strategies, and cost tracking.
version	0.1.0
publisher	acmecorp
handler_language	typescript
handler_file	handler.ts
inputs_schema	{"type":"object","properties":{"action":{"type":"string","enum":["deliberate","configure_council","get_history","get_stats"]},"query":{"type":"string","description":"The question or prompt to deliberate on"},"system_prompt":{"type":"string","description":"Optional system prompt for all council members"},"council_id":{"type":"string","description":"Specific council configuration ID (uses default if omitted)"},"session_id":{"type":"string","description":"Session ID for retrieving history"},"models":{"type":"array","items":{"type":"string"},"description":"Override model list for this deliberation"},"chairman":{"type":"string","description":"Override chairman model for synthesis"},"rounds":{"type":"integer","description":"Number of peer review rounds (default 1)"},"anonymize":{"type":"boolean","description":"Strip model names during peer review (default true)"},"strategy":{"type":"string","enum":["best_of_n","majority_vote","debate","weighted"],"description":"Scoring strategy (default weighted)"}},"required":["action"]}
outputs_schema	{"type":"object","properties":{"result":{"type":"object"}}}

llm-council

Multi-model deliberation system inspired by Karpathy's LLM Council concept.

Stages

1. First Opinions — Query sent to N models in parallel
2. Peer Review — Each model reviews anonymized responses, ranks them
3. Synthesis — Chairman model compiles final answer from all inputs + rankings

Usage

/council What is the best approach for implementing CRDT-based collaboration?