create_llm

imerit_ango.sdk.SDK.

create_llm(llm_data)

Add an LLM integration to your organization.

Parameters

• llm_data: LLM

  • An LLM object containing the following attributes:

  • name: string

    • The display name of the LLM integration.

  • provider: LlmProvider

    • The LLM provider. Options:

      • LlmProvider.OPENAI

      • LlmProvider.OPENROUTER

  • model: string

    • The model name used by the integration.

  • api_key: string

    • The API key for the provider.

  • base_url: string, Optional, Default None

    • A custom provider base URL.

  • is_streamable: bool, Optional, Default False

    • Whether the model supports streaming responses.

from imerit_ango.models.llm import LLM
from imerit_ango.models.enums import LlmProvider

Returns:

• output: dict

  • A dictionary containing a status field and the created LLM integration in data.llm.

Example

python

import os
from dotenv import load_dotenv
from imerit_ango.models.enums import LlmProvider
from imerit_ango.models.llm import LLM
from imerit_ango.sdk import SDK

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

ango_sdk = SDK(api_key)

sdk_response = ango_sdk.create_llm(
    llm_data=LLM(
        name="My OpenAI Account",
        provider=LlmProvider.OPENAI,
        model="gpt-4.1-mini",
        api_key=openai_api_key,
        is_streamable=True,
    )
)

curl

curl -X POST "https://imeritapi.ango.ai/v2/llms/" \
  -H "Content-Type: application/json" \
  -H "apikey: $ANGO_API_KEY" \
  -d '{
    "name": "My OpenAI Account",
    "provider": "openai",
    "model": "gpt-4.1-mini",
    "isStreamable": true,
    "configuration": {
      "apiKey": "<OPENAI API KEY>"
    }
  }'

See also

get_llms, delete_llm