Chat with Chatbot

In this section, we will guide you on how to start chatting with your chatbot using the GPT-trainer API. Before you begin, please ensure you meet the following prerequisites:

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Prerequisites

• 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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Start with creating a chat session

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Why Create a Chat Session?

Before sending messages to the chatbot, it’s essential to create a chat session. A chat session acts as a container that holds all the messages exchanged between you and the chatbot. Here’s why creating a chat session is necessary:

1. Message Context: A chat session allows you to maintain context throughout a conversation. It ensures that the chatbot understands the context of your questions or statements.

2. Order of Messages: The chat session helps in maintaining the order of messages. This is crucial for having meaningful and coherent conversations with the chatbot.

3. State Management: The chat session allows you to manage the state of the conversation. You can continue a conversation seamlessly by referencing the same session UUID.

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Create a chat session

To create a chat session, you need to use a POST request to the API endpoint: https://app.gpt-trainer.com/api/v1/chatbot/{chatbot_uuid}/session/create.

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Example Request

Here’re example command to create a chatbot using the GPT-trainer API:

This API request returns JSON data that you can reuse to send messages:

{
  "created_at": "string",
  "modified_at": "string",
  "uuid": "string"
}

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Chat Within a Session

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Send Messages

With a chat session created, you can now send messages to your chatbot. Use the following API endpoint to send messages and get a streamed AI response:
https://app.gpt-trainer.com/api/v1/session/{session_uuid}/message/stream

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Example Request

Here’re example command to create a message using the GPT-trainer API:

That’s it! You’ve now learned how to chat with your own chatbot using the GPT-trainer API.