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POST
/
ai
/
clusters
JavaScript
import Telnyx from 'telnyx';

const client = new Telnyx({
  apiKey: process.env['TELNYX_API_KEY'], // This is the default and can be omitted
});

const response = await client.ai.clusters.compute({ bucket: 'bucket' });

console.log(response.data);
{
  "data": {
    "task_id": "<string>"
  }
}

Documentation Index

Fetch the complete documentation index at: https://developers.telnyx.com/llms.txt

Use this file to discover all available pages before exploring further.

Authorizations

​
Authorization
string
header
required

Bearer authentication header of the form Bearer <token>, where <token> is your auth token.

Body

application/json
​
bucket
string
required

The embedded storage bucket to compute the clusters from. The bucket must already be embedded.

​
prefix
string

Prefix to filter whcih files in the buckets are included.

​
files
string[]

Array of files to filter which are included.

​
min_cluster_size
integer
default:25

Smallest number of related text chunks to qualify as a cluster. Top-level clusters should be thought of as identifying broad themes in your data.

​
min_subcluster_size
integer
default:5

Smallest number of related text chunks to qualify as a sub-cluster. Sub-clusters should be thought of as identifying more specific topics within a broader theme.

Response

Successful Response

​
data
TextClusteringResponse · object
required