Create

Create Chat

Create a new chat instance to interact with AI models.

Constructor

new Chat(config: ChatConfig)

Parameters

config · ChatConfig · required

Configuration object for the chat instance

config.apiKey · string · required

Your API key for authentication

config.model · string · default: "gpt-3.5-turbo"

The AI model to use for chat completions

config.maxTokens · number · default: "1000"

Maximum number of tokens in the response

config.temperature · number · default: "0.7"

Controls randomness in responses (0-1)

config.timeout · number · default: "30000"

Request timeout in milliseconds

config.baseURL · string

Custom base URL for the API endpoint

Response

Returns a Chat instance that can be used to send messages and stream responses.

Example

Basic Usage

import { createAgent } from '@src/index';

const agent = await createAgent({
  name: 'My Assistant',
  providerAddress: '0xf07240Efa67755B5311bc75784a061eDB47165Dd', // llama-3.3-70b-instruct
  memoryBucket: 'my-agent-memory',
  privateKey: 'your-private-key',
  maxTokens: 2000,
  temperature: 0.8
});

Available Models

The 0G AI SDK connects to models running on the 0G decentralized compute network:

Model	Provider Address	Description	Verification
llama-3.3-70b-instruct	0xf07240Efa67755B5311bc75784a061eDB47165Dd	State-of-the-art 70B parameter model for general AI tasks	TEE (TeeML)
deepseek-r1-70b	0x3feE5a4dd5FDb8a32dDA97Bed899830605dBD9D3	Advanced reasoning model optimized for complex problem solving	TEE (TeeML)

Error Handling

The constructor will throw an error if:

• No API key is provided and ZG_API_KEY environment variable is not set
• Invalid configuration parameters are passed

try {
  const chat = new Chat({
    apiKey: 'invalid-key',
    model: 'llama-3.3-70b-instruct'
  });
} catch (error) {
  console.error('Failed to create chat:', error.message);
}

Next Steps

• Send Messages
• Stream Responses
• View Chat History