By OpenGradient
Generate idiomatic Python code for OpenGradient SDK to build decentralized AI inference workflows: run verified LLM calls from OpenAI, Anthropic, and Google via TEE security with x402 payments, enable streaming and tool calling, perform on-chain ONNX model inference, integrate LangChain agents, manage model hub operations, and create digital twins chats.
A Claude Code plugin that provides expert guidance for the OpenGradient Python SDK - a decentralized AI inference platform with verified execution and on-chain settlement.
OpenGradient is a decentralized AI inference network that runs models inside Trusted Execution Environments (TEEs). Every inference call produces a cryptographic proof of correct execution, and payment is settled on-chain via the x402 protocol on Base Sepolia. This means you can call models from OpenAI, Anthropic, Google, and xAI through a single unified API — with verifiable, tamper-proof results.
When installed, this plugin adds the /opengradient-sdk skill to Claude Code. It gives Claude deep knowledge of the OpenGradient Python SDK so it can help you write correct, idiomatic code for:
SETTLE, SETTLE_METADATA, SETTLE_BATCH)claude plugin marketplace add https://github.com/OpenGradient/claude-plugins
This registers the OpenGradient marketplace and installs the plugin, making the /opengradient-sdk skill available in your Claude Code sessions.
Invoke the skill directly:
/opengradient-sdk write a streaming chat completion with tool calling
Or just describe what you want to build with OpenGradient - Claude will automatically use the skill when relevant.
/opengradient-sdk create a multi-turn agent that uses tool calling to fetch weather data
/opengradient-sdk build a LangChain ReAct agent with OpenGradient
/opengradient-sdk upload an ONNX model to the model hub
/opengradient-sdk show me how to use x402 settlement with metadata
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