Claw-Family AI Agent Integration

Connect OpenClaw, ZeroClaw, Nanobot, and other Claw-family AI agents to Swan Inference

Swan Inference provides an OpenAI-compatible API that works with all Claw-family AI agent tools. This guide covers how to connect each tool to Swan Inference for decentralized AI inference.

Prerequisites

1. A Swan Inference API key (sk-swan-*) — sign up here

2. The Claw tool of your choice installed

Quick Start

All Claw-family tools support custom OpenAI-compatible endpoints. The core configuration is the same across all tools:

Setting	Value
Base URL	https://inference.swanchain.io/v1
API Key	sk-swan-YOUR-API-KEY
Model	Any model from inference.swanchain.io/models

Popular models available on Swan Inference:

Model	Category	Use Case
deepseek-r1-distill-llama-70b	LLM	Reasoning, code generation
Qwen/Qwen2.5-7B-Instruct	LLM	General chat, fast responses
meta-llama/Llama-3.3-70B-Instruct	LLM	General purpose

---

Tool-Specific Setup

OpenClaw (TypeScript, 250K+ stars)

The most popular AI assistant in the Claw family. Supports 25+ messaging platforms.

Config File

Edit your OpenClaw configuration to add Swan Inference as a provider:

{
  "models": {
    "providers": {
      "swan": {
        "api": "openai-completions",
        "baseUrl": "https://inference.swanchain.io/v1",
        "apiKey": "sk-swan-YOUR-API-KEY",
        "models": [
          "deepseek-r1-distill-llama-70b",
          "Qwen/Qwen2.5-7B-Instruct"
        ]
      }
    },
    "default": "swan:deepseek-r1-distill-llama-70b"
  }
}

Environment Variables

---

ZeroClaw (Rust, 28K+ stars)

Ultra-lightweight (3.4MB binary, <10ms startup). Best for quick testing.

config.toml

[provider]
name = "openai-compatible"
base_url = "https://inference.swanchain.io/v1"
api_key = "sk-swan-YOUR-API-KEY"
model = "deepseek-r1-distill-llama-70b"

CLI

---

PicoClaw (Go, 26K+ stars)

Lightweight Go binary (<8MB). Designed for edge and ARM devices.

# config.yaml
provider:
  type: openai-compatible
  base_url: https://inference.swanchain.io/v1
  api_key: sk-swan-YOUR-API-KEY
  model: deepseek-r1-distill-llama-70b

---

Nanobot (Python, 32K+ stars)

Python-native, installable via pip. Best for Python developers.

Install

pip install nanobot-ai

Config

Python API

---

NanoClaw (TypeScript, 25K+ stars)

Container-per-session isolation. Good for multi-tenant deployments.

{
  "llm": {
    "provider": "openai-compatible",
    "baseUrl": "https://inference.swanchain.io/v1",
    "apiKey": "sk-swan-YOUR-API-KEY",
    "model": "deepseek-r1-distill-llama-70b"
  }
}

---

IronClaw (Rust, 10K+ stars)

Security-focused with TEE and encrypted vault. Built by NEAR AI.

export LLM_BACKEND=openai_compatible
export LLM_BASE_URL=https://inference.swanchain.io/v1
export API_KEY=sk-swan-YOUR-API-KEY
export MODEL=deepseek-r1-distill-llama-70b

ironclaw

---

NemoClaw (TypeScript + Python, 15K+ stars)

NVIDIA's reference stack with kernel sandbox and privacy router.

Configure the inference provider in your NemoClaw deployment:

inference:
  provider: openai-compatible
  base_url: https://inference.swanchain.io/v1
  api_key: sk-swan-YOUR-API-KEY
  model: deepseek-r1-distill-llama-70b

NemoClaw is in early preview (alpha). Configuration may change.

---

Moltworker (TypeScript, Cloudflare Workers)

Runs on Cloudflare's edge network (330+ cities).

{
  "models": {
    "providers": {
      "swan": {
        "type": "openai-compatible",
        "baseUrl": "https://inference.swanchain.io/v1",
        "apiKey": "sk-swan-YOUR-API-KEY"
      }
    }
  }
}

Or set via Cloudflare AI Gateway:

AI_GATEWAY_BASE_URL=https://inference.swanchain.io/v1

---

NullClaw (Zig, 6.7K+ stars)

Ultra-minimal (678KB binary, 1MB RAM). For IoT and embedded devices.

nullclaw --provider "custom:https://inference.swanchain.io/v1" \
         --api-key "sk-swan-YOUR-API-KEY" \
         --model "Qwen/Qwen2.5-7B-Instruct"

Or in config:

[provider]
url = "custom:https://inference.swanchain.io/v1"
api_key = "sk-swan-YOUR-API-KEY"
model = "Qwen/Qwen2.5-7B-Instruct"

For resource-constrained devices, use smaller models like Qwen/Qwen2.5-7B-Instruct for faster responses.

---

Choosing the Right Tool

Scenario	Recommended Tool	Why
Quick local testing	ZeroClaw	3.4MB, boots in <10ms
Python project	Nanobot	pip install, native Python API
Multi-platform bot	OpenClaw	25+ messaging platforms
Edge / ARM device	PicoClaw	8MB Go binary, runs anywhere
IoT / embedded	NullClaw	678KB, runs on $5 hardware
Security-critical	IronClaw	TEE, encrypted vault, WASM sandbox
Multi-tenant SaaS	NanoClaw	Container-per-session isolation
Enterprise / NVIDIA	NemoClaw	Kernel sandbox, policy enforcement
Global edge deploy	Moltworker	Cloudflare Workers, 330+ cities

Playground (No API Key)

All tools can also use Swan Inference's public playground for testing without an API key:

Base URL: https://inference.swanchain.io/v1/playground

The playground is rate-limited (5 requests/hour per IP) with restricted models, but requires no signup.

Troubleshooting

Connection refused / timeout

• Verify the base URL includes /v1: https://inference.swanchain.io/v1

• Check your API key starts with sk-swan-

Model not found

• List available models: curl https://inference.swanchain.io/v1/models -H "Authorization: Bearer sk-swan-YOUR-KEY"

• Model IDs are case-sensitive (e.g., Qwen/Qwen2.5-7B-Instruct, not qwen2.5-7b)

Rate limited (429)

• Default rate limit is 200 requests/min for LLM models

• Check X-RateLimit-Remaining header in responses

• Consider upgrading to Pro subscription ($6/month) for higher limits

Streaming not working

• Ensure your tool is configured for streaming (stream: true)

• Swan Inference supports SSE streaming on /v1/chat/completions

Learn More

• Swan Inference API Reference

• Available Models

• Sign Up

• Subscription Plans