curl -X GET "https://api.example.com/v2/environment/{env_id}" \
-H "accept: application/json"\
-H "Content-Type: application/json" \
-H "x-api-key: your_Lyzr_API_Key_Here" 


{
    "id": "60d0fe4f5311236xxxxxx",
    "features": [
        {
            "type": "TOOL_CALLING",
            "priority": 0,
            "config": {
                "max_tries": 5
            }
        },
        {
            "type": "SHORT_TERM_MEMORY",
            "priority": 0
        }
    ],
    "tools": [
        "perplexity_search"
    ],
    "llm_config": {
        "provider": "openai",
        "model": "gpt-4o-mini",
        "config": {
            "temperature": 0.5,
            "top_p": 0.9
        },
        "env": {
            "OPENAI_API_KEY": "your_openai_api_key_here"
        }
    }
}

Endpoint: GET /v2/environment/{env_id}

This endpoint retrieves detailed information about an environment using its unique environment ID. This endpoint provides insights into the environment’s configuration, features, tools, and language model settings.

​
Parameters

​
env_id
string
required

The unique identifier of the environment whose details are being requested.

Curl
curl -X GET "https://api.example.com/v2/environment/{env_id}" \
-H "accept: application/json"\
-H "Content-Type: application/json" \
-H "x-api-key: your_Lyzr_API_Key_Here"
Python
import requests

env_id = "66e1820aa64xxxxxx"
url = f"https://agent.api.lyzr.app/v2/environment/{env_id}"

headers = {
    "Content-Type": "application/json",
    "x-api-key": "your_Lyzr_API_Key_Here"
}

response = requests.get(url, headers=headers)

{
    "id": "60d0fe4f5311236xxxxxx",
    "features": [
        {
            "type": "TOOL_CALLING",
            "priority": 0,
            "config": {
                "max_tries": 5
            }
        },
        {
            "type": "SHORT_TERM_MEMORY",
            "priority": 0
        }
    ],
    "tools": [
        "perplexity_search"
    ],
    "llm_config": {
        "provider": "openai",
        "model": "gpt-4o-mini",
        "config": {
            "temperature": 0.5,
            "top_p": 0.9
        },
        "env": {
            "OPENAI_API_KEY": "your_openai_api_key_here"
        }
    }
}

​
Response Parameters

​
schema
dict

Environment configuration for updating includes features, tools, and LLM settings. Contains API keys and model parameters.

Create environmentUpdate environment