OpenGradient SDK

OpenGradient Python SDK

[](https://github.com/OpenGradient/sdk/actions/workflows/test.yml) [](https://github.com/OpenGradient/sdk/actions/workflows/e2e.yml) [](https://pypi.org/project/opengradient/)

A Python SDK for decentralized model management and inference services on the OpenGradient platform. The SDK provides programmatic access to distributed AI infrastructure with cryptographic verification capabilities.

Quick Summary for Developers

**New to OpenGradient?** Start here.

Question	Answer
What is it?	A decentralized network that runs AI inference inside TEEs and settles every request on-chain
What problem does it solve?	Centralized AI is a black box. OpenGradient gives cryptographic proof for every inference
How do I use it?	Install the SDK, get a private key, call llm.chat() like OpenAI but with transaction_hash and tee_signature in every response
What is Model Hub?	A decentralized registry to upload, discover, and run custom ONNX models on-chain
What is MemSync?	A long-term memory layer for AI agents with persistent context across sessions

30-Second Quickstart

Install, set up a private key with OPG tokens, and run:

import asyncio, os, opengradient as og

async def main():
    llm = og.LLM(private_key=os.environ["OG_PRIVATE_KEY"])
    llm.ensure_opg_approval(min_allowance=0.1)
    result = await llm.chat(
        model=og.TEE_LLM.GEMINI_2_5_FLASH,
        messages=[{"role": "user", "content": "Hello!"}],
    )
    print(result.chat_output["content"])  # AI response
    print(result.transaction_hash)         # on-chain proof

asyncio.run(main())

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Overview

OpenGradient enables developers to build AI applications