POST
/
api
/
v2
/
log
/
inference

Using OpenAI with Python? Just follow our quick start guide to get started in just a few lines of code.

Using LiteLLM? Follow this guide to get set up in just a few lines of code.

You can log your inference calls to Athina via a simple API request. The logging request should be made just after you receive a response from the LLM.

  • Method: POST

  • Endpoint: https://log.athina.ai/api/v2/log/inference

  • Headers:

    • athina-api-key: YOUR_ATHINA_API_KEY
    • Content-Type: application/json

Tip: To avoid adding any latency to your application, log your inference as a fire-and-forget request.

​
language_model_id
string
required

Identifier for the language model used for inference. This is just a string label, all models are supported.

​
prompt
string | {role: string, content: string}[]

The prompt sent for inference. This can be either a string or the messages array sent to OpenAI. Note that in case of Tool message content can be either string or array.

​
response
string
required

The response from the LLM. This should be a string.

​
Logging Attributes

See the full list of available fields for logging here.

Logging AttributesLog via Python SDK