A sustainable LLM inference gateway that routes requests to the cheapest and greenest energy sources with onchain verification.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install windfall-inference
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install windfall-inference using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Windfall Inference is a spatially-routed LLM gateway designed specifically for the next generation of AI agents. By integrating this skill into your Openclaw Skills library, you can significantly reduce the carbon footprint and operational costs of your AI workflows. The system automatically routes every request to the model and location offering the lowest carbon intensity or the best price point, ensuring your agent operations remain both ethical and economical. It serves as a drop-in replacement for OpenAI-compatible tools, providing access to over 200 models through a single, unified endpoint.
Built for the decentralized web, it leverages the Base network to provide transparent, verifiable proof of every inference executed. Whether you are building complex multi-agent systems or simple automated scripts, this skill ensures your compute is handled by the cleanest energy available without sacrificing performance or affordability.
To get started with this addition to your Openclaw Skills, set your API key in the environment:
export WINDFALL_API_KEY=your_key_here
To request a new key via CLI:
curl -X POST https://windfall.ecofrontiers.xyz/api/keys \
-H "Content-Type: application/json" \
-d '{"wallet_address": "YOUR_WALLET"}'
Finally, configure your OpenAI-compatible client to use the custom base URL:
OPENAI_BASE_URL=https://windfall.ecofrontiers.xyz/v1
OPENAI_API_KEY=wf_YOUR_KEY
Windfall provides extensive metadata through response headers for tracking and auditing within your Openclaw Skills workflows:
| Header | Description |
|---|---|
X-Windfall-Cache |
Indicates a cache HIT or MISS |
X-Windfall-Mode |
The routing strategy used (greenest, cheapest, or balanced) |
X-Windfall-Model |
The specific model that processed the request |
X-Windfall-Node |
The execution node identifier |
X-Windfall-Cost |
Final cost of the transaction in USD |
X-Windfall-Saved |
Savings realized via caching or spatial routing |
Every inference call also produces a verifiable EAS attestation on Base containing node location, energy price, carbon intensity, and response hashes.
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