Advance Usage

Custom Instructions

Customizing agent behavior involves altering specific instructions to tailor responses and actions which improve task performance and interactions. Interested user can try the customization by modifying instructions:

from crypto_com_agent_client import Agent

agent = Agent.init(
    llm_config={
        "provider": "OpenAI",
        "model": "gpt-4",
        "provider-api-key": "sk-proj-example-key",
    },
    blockchain_config={
         "chainId": "chain-id",
         "explorer-api-key": "your-api-key",
         "private-key": "your-private-key",
         "sso-wallet-url": "your-sso-wallet-url",
    },
    plugins={
        "instructions": "Be concise and professional."
    },
)