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opengradient / client

Package opengradient.client ​

OpenGradient Client -- service modules for the SDK.

Modules ​

  • llm -- LLM chat and text completion with TEE-verified execution and x402 payment settlement (Base Sepolia OPG tokens)
  • model_hub -- Model repository management: create, version, and upload ML models
  • alpha -- Alpha Testnet features: on-chain ONNX model inference (VANILLA, TEE, ZKML modes), workflow deployment, and scheduled ML model execution (OpenGradient testnet gas tokens)
  • twins -- Digital twins chat via OpenGradient verifiable inference
  • opengradient.client.opg_token -- OPG token Permit2 approval utilities for x402 payments
  • opengradient.client.tee_registry -- TEE registry client for verified endpoints and TLS certificates

Usage ​

python
import opengradient as og

# LLM inference (Base Sepolia OPG tokens)
llm = og.LLM(private_key="0x...")
llm.ensure_opg_approval(opg_amount=5)
result = await llm.chat(model=og.TEE_LLM.CLAUDE_HAIKU_4_5, messages=[...])

# On-chain model inference (OpenGradient testnet gas tokens)
alpha = og.Alpha(private_key="0x...")
result = alpha.infer(model_cid, og.InferenceMode.VANILLA, model_input)

# Model Hub (requires email auth)
hub = og.ModelHub(email="you@example.com", password="...")
repo = hub.create_model("my-model", "A price prediction model")