Agena AI Cloud JavaScript API

The api-js package is an optional helper library, which provides functions to authenticate with Agena AI Cloud and execute individual or batch calculation requests.

It is designed to work in Node.js and browser environments.

Published on npmjs.com as agena-api-js.

Usage

Import from npm

npm i agena-api-js

or

yarn add agena-api-js

Import with unpkg.com

With await import:

await import('https://unpkg.com/agena-api-js/dist/agena-api.js').then((m) => agena = m.default);

As script module:

<script type="module">
    import agena from 'https://unpkg.com/agena-api-js/dist/agena-api.js';
</script>

As global module variable:

<script src="https://unpkg.com/agena-api-js/dist/agena-api-winvar.js"></script>
<script>
    const agena = AgenaApi.default;
</script>

API Server

You can specify the API Server to use with:

agena.init({
    api: {
        server: 'https://api.staging.agenarisk.com',
    },
});

Authentication

await agena.logIn({username: '[email protected]', password: '12344567890'});

Once authenticated, subsequent calls to agena.calculate() or agena.calculateBatch() will automatically use the correct token when making requests to the API server.

In case you implement calculation requests yourself, you can use this library to authenticate your custom requests, e.g.

fetch(url, {
    method: 'POST',
    body,
    headers: {
        Accept: 'application/json',
        'Content-Type': 'text/plain; charset=utf-8',
        Authorization: `Bearer ${agena.getAccessToken().accessToken}`
    }
})...

Examples

This simple example authenticates and calculates a very basic model with a single observation.

await agena.logIn({username: '[email protected]', password: '12344567890'});
const model = {networks:[{id:'net', nodes:[{id:'node1'}, {id:'node2'}]}]}; // extremely basic example for the sake of the example
const response = await agena.calculate({
    model,
    observations: [{network: 'net', node: 'node1', entry: 'True'}]
});
console.log(response.results);

Prints:

[
    {
        "node": "node1",
        "resultValues": [
            {
                "label": "False",
                "value": 0
            },
            {
                "label": "True",
                "value": 1
            }
        ],
        "network": "net"
    },
    {
        "node": "node2",
        "resultValues": [
            {
                "label": "False",
                "value": 0.5
            },
            {
                "label": "True",
                "value": 0.5
            }
        ],
        "network": "net"
    }
]

More examples usage can be found in the examples directory.

See documentation for exact format for the model, observations and results.

Documentation

Relevant documentation includes details on the JSON format of Agena AI models and can be found here.