LLM Council Core

Example Use Cases

• 1

  High-quality, consensus-driven answers from multiple LLMs.

• 2

  Reduce bias by anonymized peer review among LLM responses.

• 3

  Flexible deployment options and integration with various LLM providers.

Description

LLM Council Core enables multiple large language models (LLMs) to collaboratively answer questions by independently generating responses, anonymously reviewing each other's outputs, and synthesizing a final high-quality answer via a chairman model. This approach improves answer quality, surfaces diverse perspectives, and reduces bias. It is available as a Python library, MCP server, or HTTP API, supporting various deployment platforms and gateway configurations.