ClawRouter

<div align="center">

<img src="assets/banner.png" alt="ClawRouter Banner" width="600">

<h1>The LLM router built for autonomous agents</h1>

<p>Agents can't sign up for accounts. Agents can't enter credit cards.<br>
Agents can only sign transactions.<br><br>
<strong>ClawRouter is the only LLM router that lets agents operate independently.</strong></p>

<br>

<img src="https://img.shields.io/badge/🤖_Agent--Native-black?style=for-the-badge" alt="Agent native">&nbsp;
<img src="https://img.shields.io/badge/🔑_Zero_API_Keys-blue?style=for-the-badge" alt="No API keys">&nbsp;
<img src="https://img.shields.io/badge/⚡_Local_Routing-yellow?style=for-the-badge" alt="Local routing">&nbsp;
<img src="https://img.shields.io/badge/💰_x402_USDC-purple?style=for-the-badge" alt="x402 USDC">&nbsp;
<img src="https://img.shields.io/badge/🔓_Open_Source-green?style=for-the-badge" alt="Open source">

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[![x402 Protocol](https://img.shields.io/badge/x402-Micropayments-purple?style=flat-square)](https://x402.org)
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</div>

> **ClawRouter** is an open-source smart LLM router that reduces AI API costs by up to 92%. It analyzes each request across 15 dimensions and routes to the cheapest capable model in under 1ms, entirely locally. ClawRouter is the only LLM router built for autonomous AI agents — it uses wallet signatures for authentication (no API keys) and USDC micropayments via the x402 protocol (no credit cards). 55+ models from OpenAI, Anthropic, Google, xAI, DeepSeek, and more. MIT licensed.

---

## Why ClawRouter exists

Every other LLM router was built for **human developers** — create an account, get an API key, pick a model from a dashboard, pay with a credit card.

**Agents can't do any of that.**

ClawRouter is built for the agent-first world:

- **No accounts** — a wallet is generated locally, no signup
- **No API keys** — your wallet signature IS authentication
- **No model selection** — 15-dimension scoring picks the right model automatically
- **No credit cards** — agents pay per-request with USDC via [x402](https://x402.org)
- **No trust required** — runs locally, <1ms routing, zero external dependencies

This is the stack that lets agents operate autonomously: **x402 + USDC + local routing**.

---

## How it compares

|                  | OpenRouter        | LiteLLM          | Martian           | Portkey           | **ClawRouter**          |
| ---------------- | ----------------- | ---------------- | ----------------- | ----------------- | ----------------------- |
| **Models**       | 200+              | 100+             | Smart routing     | Gateway           | **55+**                 |
| **Routing**      | Manual selection  | Manual selection | Smart (closed)    | Observability     | **Smart (open source)** |
| **Auth**         | Account + API key | Your API keys    | Account + API key | Account + API key | **Wallet signature**    |
| **Payment**      | Credit card       | BYO keys         | Credit card       | $49-499/mo        | **USDC per-request**    |
| **Runs locally** | No                | Yes              | No                | No                | **Yes**                 |
| **Open source**  | No                | Yes              | No                | Partial           | **Yes**                 |
| **Agent-ready**  | No                | No               | No                | No                | **Yes**                 |

✓ Open source · ✓ Smart routing · ✓ Runs locally · ✓ Crypto native · ✓ Agent ready

**We're the only one that checks all five boxes.**

---

## Quick Start

### Option A — OpenClaw Agent

[OpenClaw](https://openclaw.ai) is an AI coding agent. If you're using it, ClawRouter installs as a plugin:

```bash
curl -fsSL https://blockrun.ai/ClawRouter-update | bash
openclaw gateway restart
```

Done. Smart routing (`blockrun/auto`) is now your default model.

### Option B — Standalone (continue.dev, Cursor, VS Code, any OpenAI-compatible client)

> **Using Claude Code?** Check out [BRCC](https://github.com/BlockRunAI/brcc) — it's purpose-built for Claude Code with the same smart routing and x402 payments.

No OpenClaw required. ClawRouter runs as a local proxy on port 8402.

**1. Start the proxy**

```bash
npx @blockrun/clawrouter
```

**2. Fund your wallet**
Your wallet address is printed on first run. Send a few USDC on Base or Solana — $5 covers thousands of requests.

**3. Point your client at `http://localhost:8402`**

<details>
<summary><strong>continue.dev</strong> — <code>~/.continue/config.yaml</code></summary>

> **Important:** `apiBase` must end with `/v1/` (including the trailing slash). Without it, continue.dev constructs the URL as `/chat/completions` instead of `/v1/chat/completions`, and the proxy returns 404.

```yaml
models:
  - name: ClawRouter Auto
    provider: openai
    model: blockrun/auto
    apiBase: http://localhost:8402/v1/
    apiKey: x402
    roles:
      - chat
      - edit
      - apply
```

To pin a specific model, replace `blockrun/auto` with any model from [blockrun.ai/models](https://blockrun.ai/models), e.g. `anthropic/claude-opus-4.6`, `xai/grok-4-0709`.

Both `provider: openai` and `provider: clawrouter` work — just make sure `apiBase` ends with `/v1/`.

<details>
<summary>Legacy JSON format (<code>~/.continue/config.json</code>)</summary>

```json
{
  "models": [
    {
      "title": "ClawRouter Auto",
      "provider": "openai",
      "model": "blockrun/auto",
      "apiBase": "http://localhost:8402/v1/",
      "apiKey": "x402"
    }
  ]
}
```

</details>
</details>

<details>
<summary><strong>Cursor</strong> — Settings → Models → OpenAI-compatible</summary>

Set base URL to `http://localhost:8402`, API key to `x402`, model to `blockrun/auto`.

</details>

<details>
<summary><strong>Any OpenAI SDK</strong></summary>

```python
from openai import OpenAI
client = OpenAI(base_url="http://localhost:8402", api_key="x402")
response = client.chat.completions.create(model="blockrun/auto", messages=[...])
```

</details>

---

## Routing Profiles

Choose your routing strategy with `/model <profile>`:

| Profile          | Strategy           | Savings | Best For         |
| ---------------- | ------------------ | ------- | ---------------- |
| `/model auto`    | Balanced (default) | 74-100% | General use      |
| `/model eco`     | Cheapest possible  | 95-100% | Maximum savings  |
| `/model premium` | Best quality       | 0%      | Mission-critical |

**Shortcuts:** `/model grok`, `/model br-sonnet`, `/model gpt5`, `/model o3`

---

## How It Works

**100% local routing. <1ms latency. Zero external API calls.**

```
Request → Weighted Scorer (15 dimensions) → Tier → Best Model → Response
```

| Tier      | ECO Model                           | AUTO Model                            | PREMIUM Model                |
| --------- | ----------------------------------- | ------------------------------------- | ---------------------------- |
| SIMPLE    | nvidia/gpt-oss-120b (**FREE**)      | gemini-2.5-flash ($0.30/$2.50)        | kimi-k2.5                    |
| MEDIUM    | gemini-3.1-flash-lite ($0.25/$1.50) | kimi-k2.5 ($0.60/$3.00)               | gpt-5.3-codex ($1.75/$14.00) |
| COMPLEX   | gemini-3.1-flash-lite ($0.25/$1.50) | gemini-3.1-pro ($2/$12)               | claude-opus-4.6 ($5/$25)     |
| REASONING | grok-4-1-fast ($0.20/$0.50)         | grok-4-1-fast-reasoning ($0.20/$0.50) | claude-sonnet-4.6 ($3/$15)   |

**Blended average: $2.05/M** vs $25/M for Claude Opus = **92% savings**

---

## Image Generation

Generate images directly from chat with `/imagegen`:

```
/imagegen a dog dancing on the beach
/imagegen --model dall-e-3 a futuristic city at sunset
/imagegen --model banana-pro --size 2048x2048 mountain landscape
```

| Model         | Provider              | Price       | Max Size  |
| ------------- | --------------------- | ----------- | --------- |
| `nano-banana` | Google Gemini Flash   | $0.05/image | 1024x1024 |
| `banana-pro`  | Google Gemini Pro     | $0.10/image | 4096x4096 |
| `dall-e-3`    | OpenAI DALL-E 3       | $0.04/image | 1792x1024 |
| `gpt-image`   | OpenAI GPT Image 1    | $0.02/image | 1536x1024 |
| `flux`        | Black Forest Flux 1.1 | $0.04/image | 1024x1024 |

## Image Editing (img2img)

Edit existing images with `/img2img`:

```
/img2img --image ~/photo.png change the background to a starry sky
/img2img --image ./cat.jpg --mask ./mask.png remove the background
```

| Option            | Required | Description                           |
| ----