councillm is a lightweight, transparent LLM Council framework built on Ollama. It orchestrates multiple local language models into a structured decision-making pipeline inspired by Andrej Karpathy’s LLM Council concept — but designed for local-first, observable, and practical CLI usage.

This project focuses on correctness, transparency, and control, not theatrics.

✨ Key Features

• 🔁 Multi‑Model Reasoning (Generator → Critic → Chairman)
• 🧠 Fast / Lite / Full execution modes
• 🔍 Optional web‑search grounding
• 👁️ Transparent execution logs — see each model work
• 🖥️ Local‑only (no OpenAI / no cloud)
• ⚡ Fast install with uv

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🏗️ Council Architecture

The system follows a strict, inspectable pipeline:

User Question
   ↓
[Generators]  → produce independent drafts
   ↓
[Critics]     → review & rank drafts (optional)
   ↓
[Chairman]   → synthesize final answer

Each stage is logged in real time so users can verify that the council is actually running.

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📦 Installation (Fast with uv)

Prerequisites

• Python 3.10+
• Ollama installed and running
• At least 2 local Ollama models pulled

ollama pull mistral
ollama pull llama3

Install with uv

uv pip install councillm

Or for development:

git clone https://github.com/yourname/councillm.git
cd councillm
uv pip install -e .

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🚀 Quick Start

Run the CLI:

councillm

You will be prompted to configure the council once per session.

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⚙️ Interactive Configuration

Instead of editing YAML files, councillm asks you directly:

Assign GENERATOR models (comma‑separated):
> mistral:latest, llama3:8b

Assign CRITIC models (comma‑separated):
> phi3:latest

Assign CHAIRMAN model:
> gemma3:1b

✔ No files are written ✔ No auto‑detection ✔ No hidden state

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🧩 Execution Modes

After configuration, choose how the council runs:

1️⃣ Fast Mode

Chairman answers directly

• Fastest
• Lowest cost
• Least robust

2️⃣ Lite Mode (Default)

Generator → Chairman

• Balanced
• Good for daily use

3️⃣ Full Mode

Multiple Generators → Critics → Chairman

• Most reliable
• Slowest
• Maximum cross‑checking

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🔍 Web Search Grounding

You can optionally enable web search:

Enable web search grounding? [y/N]: y

This uses DuckDuckGo search results to reduce hallucinations for factual queries.

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🖥️ Example Session

$ councillm

======================================================================
        LLM COUNCIL — OLLAMA CONSOLE MODE
======================================================================
Type your question and press Enter.
Type 'exit' to quit.

Council ready (mode=full, search=True).

You: who won the 2020 F1 drivers championship?

[Stage 1] Generating responses
  • mistral:latest ✓
  • llama3:8b ✓

[Stage 2] Peer review
  • phi3:latest ✓

[Stage 3] Chairman synthesis
  • gemma3:1b ✓

Final Answer:
Lewis Hamilton won the 2020 Formula 1 Drivers' Championship.

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🧪 Hallucination Mitigation Strategy

councillm reduces hallucinations by:

• Multiple independent generations
• Cross‑model critique
• Chairman synthesis
• Optional web grounding

⚠️ Still not perfect — this is risk reduction, not elimination.

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❌ What councillm Is NOT

• ❌ Not a chatbot UI
• ❌ Not a prompt playground
• ❌ Not a guarantee of truth
• ❌ Not cloud‑based

This is a reasoning orchestrator, not a demo app.

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📜 License

MIT License

You are free to use, modify, and distribute this project.

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🤝 Contributing

Contributions are welcome if they:

• Improve correctness
• Reduce hallucinations
• Increase transparency
• Keep the system simple

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🧠 Philosophy

"If you can’t observe it, you can’t trust it."

councillm exists to make local LLM reasoning inspectable, not magical.

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Happy reasoning 🚀