> ## Documentation Index
> Fetch the complete documentation index at: https://vietbui.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Karpathy LLM Council

> Local web app implementing the Council Pattern — multiple LLMs answer independently, peer-review each other's work (anonymized), then a Chairman model synthe…

# Karpathy LLM Council

Local web app implementing the [Council Pattern](/concepts/council-pattern) — multiple LLMs answer independently, peer-review each other's work (anonymized), then a Chairman model synthesizes the final response. Created by Andrej Karpathy as a Saturday hack for reading books alongside multiple LLMs simultaneously.

GitHub: [https://github.com/karpathy/llm-council](https://github.com/karpathy/llm-council)

> "Vibe coded as a fun Saturday hack... I'm not going to support it in any way." — Karpathy

Not production-grade. Provided as an architectural reference.

***

## Three-Stage Protocol

```
Stage 1: First opinions
  User query → all council LLMs in parallel → independent answers

Stage 2: Peer review (anonymized)
  Each LLM receives all other responses with model identities hidden
  Each LLM ranks responses by accuracy and insight
  Anonymization prevents provider favoritism

Stage 3: Chairman synthesis
  Designated Chairman LLM reads all responses + rankings
  Produces a single synthesized final answer
```

**Anonymization rationale**: model identities hidden during review so no LLM can play favorites toward its own provider or discriminate against competitors.

**Chairman model**: configurable. Karpathy defaults to Gemini Pro. Conceptually: the model with the best synthesis/summarization capability for the domain.

***

## Tech Stack

* **Backend:** FastAPI (Python), async httpx, OpenRouter API
* **Frontend:** React + Vite, react-markdown
* **Storage:** JSON files in `data/conversations/`
* **Package manager:** uv (Python), npm (frontend)
* **Single API key:** OpenRouter provides access to all council models

***

## Configuration

```python theme={null}
# backend/config.py
COUNCIL_MODELS = [
    "openai/gpt-5.1",
    "google/gemini-3-pro-preview",
    "anthropic/claude-sonnet-4.5",
    "x-ai/grok-4",
]

CHAIRMAN_MODEL = "google/gemini-3-pro-preview"
```

***

## How It Differs from Other Council Implementations

| Dimension        | Karpathy llm-council    | AgentOps `/council`       | Our AGENTS.md `/council`  |
| ---------------- | ----------------------- | ------------------------- | ------------------------- |
| Synthesis        | Chairman LLM            | Human reads disagreements | Human reads disagreements |
| Anonymization    | Yes (peer review stage) | No                        | No                        |
| Use case         | Q\&A, hard questions    | Design decisions          | Code/architecture review  |
| Interface        | Local web app           | CLI command               | AGENTS.md slash command   |
| API routing      | OpenRouter (one key)    | Per-vendor clients        | Pi AI / GitHub Models     |
| Production-ready | No (Saturday hack)      | Yes                       | Yes                       |

**Key architectural fork**: Karpathy delegates final synthesis to a Chairman model. AgentOps and our workflow surface disagreements and leave synthesis to the human. Human-in-the-loop synthesis preserves judgment but adds latency; Chairman synthesis is fully automated but introduces a new single point of failure (Chairman's bias).

***

## OpenRouter Trade-off

Using OpenRouter simplifies multi-vendor access (one API key, one endpoint) at the cost of:

* Potential reasoning effort stripping for DeepSeek models (our wiki concern — less relevant here since council models are GPT/Gemini/Claude/Grok)
* Rate limits vary by model and account tier
* Adds a reseller intermediary in the call path

For Karpathy's Q\&A use case (no DeepSeek, no max-reasoning requirement), OpenRouter is appropriate. For workflows requiring DeepSeek V4 Flash on max reasoning: use direct API.

***

## Related Pages

* [Council Pattern](/concepts/council-pattern) — the general pattern this implements
* [Multi-Vendor Adversarial Review](/concepts/multi-vendor-adversarial-review) — adversarial review; council as its strongest form
* [AgentOps (boshu2)](/entities/agentops) — `/council` CLI implementation; surfaces disagreements without Chairman
* [Pi Agent (pi-mono)](/entities/pi-agent) — our council API layer via GitHub Models
* Autoresearch Karpathy — Karpathy's autonomous ML research loop (different project, same author)

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function up(){if(hd.hasPointerCapture(e.pointerId))hd.releasePointerCapture(e.pointerId);hd.removeEventListener('pointermove',mv);hd.removeEventListener('pointerup',up);try{localStorage.setItem('llmwiki_graph_pos',JSON.stringify({l:parseFloat(fe.style.left),t:parseFloat(fe.style.top)}));}catch(e2){if(window.console)console.debug('graph: could not persist position',e2);}}
hd.addEventListener('pointermove',mv);hd.addEventListener('pointerup',up);e.preventDefault();});
</script></body></html>"
  title="Knowledge graph"
  loading="lazy"
  style={{position:"fixed",right:"18px",bottom:"18px",width:"320px",height:"340px",border:0,borderRadius:"14px",boxShadow:"0 6px 28px rgba(0,0,0,0.38)",zIndex:50,background:"#0f1117"}}
/>
