How to Build a Chat Completion Experience with AskHandle API?

This tutorial explains how to create a chat experience using the AskHandle API. You will learn how to get your API token, create chat rooms, send messages, and receive AI responses.

Before You Start

Before testing the API, make sure your setup in the Command Center is complete.

The default AI mode is General Data mode. If you haven’t uploaded any data sources yet, you can use General Data mode for testing. We recommend using Combined Data mode, which requires at least one uploaded data source to function properly. Without a valid data source, the API may not return any AI responses in Combined Data Mode.

Step 1: Get Your API Token

To interact with the AskHandle API, you need an API token. Use the following command to generate your token by providing your username and password:

ShCopy code

The API returns a token like this:

JsonCopy code

Keep this token secure. It is required to authorize all future API requests.

Step 2: Create a Chat Room

To handle conversations, you need to create a chat room. Send a POST request to the rooms endpoint and include the API token in the header:

ShCopy code

The response will contain the details of the newly created chat room:

JsonCopy code

Take note of the uuid, as it is required to send messages.

Step 3: Send a Message to the AI

After creating the chat room, you can send messages to the AI. Use the messages endpoint with the room UUID and message details. Include the message body, nickname, and room UUID in the request. The fields email and phone_number are optional but can be added to track user contact details.

Example request:

ShCopy code

In this example, the user has included both email and phone_number fields, but these are not mandatory. The AI will process the message and generate a response.

Step 4: Receive the AI Response

The API will respond with message details, including the AI-generated answer:

JsonCopy code

The support_answer field contains the AI's reply, which can be displayed to the user.

Use Cases

• Automated customer support chatbots.
• AI assistants for product recommendations.
• Knowledge-based chat systems for frequently asked questions.

Additional Tips

• Keep your API token confidential to prevent unauthorized access.
• Each user session should have a separate chat room to manage conversations effectively.

This guide covers the essential steps to build an AI chat experience using the AskHandle API. For more details, check the full API documentation.