Skip to main content

Postman Collection

You can find   here   an entire postman collection with different types of queries for reference. You can download the collection and import it into your postman application.

cURL

To start, let’s make a request via cURL to query data from Athina AI GraphQL API.

Fetching Data from the API

Node.js

Prerequisites

To use the Athina AI GraphQL API in Node.js, make sure that you have the request library installed. You can install these packages with the following commands:

Fetching Data from the API

Here’s an example of how to query the Athina AI GraphQL API using Node.js:

Python

Note: The python example uses the gql and aiohttp libraries to communicate with the API. You can alternatively use just requests library to communicate with the API directly as well.

Prerequisites

To use the Athina AI GraphQL API, make sure that you have the gql and aiohttp libraries installed in your Python environment. You can install these packages with the following commands:

Setting up a GraphQL Client

Here’s how to setup a GraphQL client to communicate with the Athina GraphQL API:
In this code:
  • url is the endpoint of the Athina AI GraphQL API.
  • AIOHTTPTransport establishes the connection to the API endpoint.
  • Client is a GraphQL client that communicates with the API using the provided transport.

Fetching Data from the API

Here’s how to fetch data from the Athina AI API using GraphQL:
In this code:
  • SIZE is the number of records fetched per request.
  • gql parses the GraphQL query.
  • client.execute runs the query and returns the result. The variable_values parameter is used to set the limit and page in the GraphQL query.
The response contains a list of PromptRun objects. Each PromptRun object contains the following fields: id, org_id, prompt_slug, language_model_id, prompt_response, and prompt_tokens.