LLM Council FAQs

Question 1

What is LLM Council and how does it work?

Accepted Answer

LLM Council is a multi-LLM deliberation system where multiple large language models collaboratively answer questions. It works in three stages: parallel querying to multiple LLMs, anonymous peer review of responses by other LLMs, and a Chairman LLM synthesizing all feedback into a final, high-quality answer.

Question 2

How does LLM Council improve the quality of AI responses?

Accepted Answer

By leveraging collective intelligence, LLM Council significantly improves AI response quality. It reduces single-model bias, ensures thorough evaluation through peer review, and synthesizes diverse perspectives into a more comprehensive, accurate, and nuanced final answer.

Question 3

Which LLM providers and gateways does LLM Council support?

Accepted Answer

LLM Council offers flexible gateway support for a wide range of providers. This includes OpenRouter (for 100+ models via a single key), Requesty (for BYOK and analytics), and direct APIs for Anthropic, OpenAI, and Google models.

Question 4

What are the options for secure API key management?

Accepted Answer

LLM Council prioritizes security for API keys. You can manage them securely via your system keychain (recommended for encryption), environment variables, or `.env` files. This ensures sensitive credentials are not exposed in code or configuration.

Question 5

Can I customize the LLM models participating in the council?

Accepted Answer

Yes, LLM Council is highly customizable. You can define specific council models and the chairman model using environment variables, YAML configuration files, or JSON configuration. This allows you to tailor the deliberation process to your specific needs and desired confidence levels.

LLM Council

LLM Council

Key Features

Use Cases

Key Features

Use Cases