langchain-0g 0.1.0

Official Langchain client for 0g.ai Inference SDK

langchain-0g

This package contains the LangChain integrations for 0G.ai through their a0g SDK.

Installation and Setup

• Install the 0G.ai Python package:

pip install python-0g langchain_0g

• Set your 0G.ai wallet private key as an environment variable:

export A0G_PRIVATE_KEY="your_wallet_private_key"

Chat model

ZGChat is a wrapper around 0G.ai chat models. It allows you to interact with 0G.ai-hosted LLMs in a LangChain-compatible way.

from langchain_0g import ZGChat

chat = ZGChat(provider="0xf07240Efa67755B5311bc75784a061eDB47165Dd")
response = chat.invoke("Hello 0G!")
print(response)

• provider is the ENS address of the 0G.ai model.
• private_key is optional if you have A0G_PRIVATE_KEY in the environment.

Asynchronous Usage

import asyncio
from langchain_0g import ZGChat

async def main():
    chat = ZGChat(provider="0xf07240Efa67755B5311bc75784a061eDB47165Dd")
    response = await chat.ainvoke("Hi!")
    print(response)

asyncio.run(main())

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LLM (Legacy)

ZGLLM refers to legacy text-completion models hosted on 0G.ai.

from langchain_0g import ZGLLM

llm = ZGLLM(provider="0xf07240Efa67755B5311bc75784a061eDB47165Dd")
text = llm.invoke("Summarize the following article...")
print(text)

• provider specifies the 0G.ai model.
• Use private_key to sign requests via your wallet.

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List available models

from langchain_0g import ZGChat

llm = ZGChat(provider="0xf07240Efa67755B5311bc75784a061eDB47165Dd")
print(llm.zg_client.get_all_services())

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Notes

• 0G.ai clients (client and async_client) handle authentication using your wallet private key instead of traditional OpenAI API keys.
• The ENS provider identifies which LLM to query.
• All requests go through 0G.ai smart contracts for on-chain verification.