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Documentation Index

Fetch the complete documentation index at: https://guide.gpt-trainer.com/llms.txt

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

In this guide, we will walk through the process of uploading data sources to your chatbot using the GPT-trainer API.

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Prerequisites

Before you begin, make sure you have the following:
  • An API key for accessing the GPT-trainer API.
  • A development environment or tool for making HTTP requests, such as Curl or a programming language like Python.

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API Endpoint

The API endpoint for uploading data sources to your chatbot is: https://app.gpt-trainer.com/api/v1/chatbot/{uuid}/data-source/url.
Make sure to replace {uuid} with the UUID of your chatbot..

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Request Body

To upload a data source, you need to send a POST request to the API endpoint with a JSON request body containing the URL of the data source. Here’s an example request body: 
{
  "url": "https://example.com/data-source"
}
  • url (string, required): Provide the URL of the data source you want to upload.

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Example Request

Here’re example command sto create a chatbot using the GPT-trainer API:
Replace token with your actual API key.
curl --location --request POST 'https://app.gpt-trainer.com/api/v1/chatbot/{uuid}/data-source/url' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer <token>' \
--data-raw '{
  "url": "string"
}'
That’s it! You’ve now learned how to upload data sources to your chatbot using the GPT-trainer API.