elhamid/llm-council

Overview

LLM Council is a Python library that coordinates multiple large language models to collaboratively answer complex questions. It routes queries to a council of LLMs, aggregates their responses, and returns a synthesized answer.

Best for

Best for
Developers exploring multi-model reasoning or needing higher confidence on hard questions

Use cases

• Improving answer accuracy on difficult or ambiguous queries
• Cross-validating outputs from different language models
• Building multi-model reasoning pipelines for research or prototyping

How to use

Install

./start.sh

Tools exposed

• uv
• npm

Example client config

COUNCIL_MODELS = [\n    "openai/gpt-5.1",\n    "google/gemini-3-pro-preview",\n    "anthropic/claude-sonnet-4.5",\n    "x-ai/grok-4",\n]\nCHAIRMAN_MODEL = "google/gemini-3-pro-preview"

Notes

LLM Council is a Python library that coordinates multiple large language models to collaboratively answer complex questions. It routes queries to a council of LLMs, aggregates their responses, and returns a synthesized answer.

5 stars on GitHub. Last updated 2026-02-20.

Use cases

• Improving answer accuracy on difficult or ambiguous queries
• Cross-validating outputs from different language models
• Building multi-model reasoning pipelines for research or prototyping

Pros

• Leverages consensus across models to reduce hallucination risk
• Simple Python API for orchestrating multiple LLMs
• Open source with a permissive license for customization

Cons

• Requires API keys and access to multiple LLM providers
• Increased latency and cost due to multiple model calls per query
• Limited documentation and community support given low star count

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.