get_llms

imerit_ango.sdk.SDK.

get_llms(llm_id)

Retrieve the LLM integrations configured for your organization.

Parameters

• llm_id: string, Optional, Default None

  • The unique identifier of an LLM integration. If provided, the function returns the matching integration instead of the full response.

Returns:

• output: dict

  • Without llm_id, a dictionary containing a status field and the integrations in data.llms.

  • With llm_id, the matching LLM integration object.

The response includes the stored provider API key in configuration.apiKey. Handle the response as sensitive data and do not write it to logs or expose it to clients.

Example

Retrieve all LLM integrations in the organization:

python

import os
from dotenv import load_dotenv
from imerit_ango.sdk import SDK

load_dotenv('variables.env')
api_key = os.getenv('API_KEY')

ango_sdk = SDK(api_key)

sdk_response = ango_sdk.get_llms()
llm_list = sdk_response['data']['llms']

curl

curl -X GET "https://imeritapi.ango.ai/v2/llms" \
  -H "Content-Type: application/json" \
  -H "apikey: $ANGO_API_KEY"

Retrieve a specific LLM integration:

python

llm_id = "<LLM ID>"
llm = ango_sdk.get_llms(llm_id=llm_id)

curl

curl -X GET "https://imeritapi.ango.ai/v2/llms?_id=<LLM ID>" \
  -H "Content-Type: application/json" \
  -H "apikey: $ANGO_API_KEY"

Sample Output

{
  "status": "success",
  "data": {
    "llms": [
      {
        "name": "My OpenAI Account",
        "provider": "openai",
        "model": "gpt-4.1-mini",
        "isStreamable": true,
        "configuration": {
          "apiKey": "<OPENAI API KEY>"
        },
        "organization": {
          "id": "ORGANIZATION_ID"
        },
        "deleted": false,
        "_id": "LLM_ID"
      }
    ],
    "total": 1
  }
}

See also

create_llm, delete_llm