X.AI Integration
This documentation will guide you through setting up your XAI API key, configuring the integration, and building tailored chatbot flows to meet your business needs.
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This documentation will guide you through setting up your XAI API key, configuring the integration, and building tailored chatbot flows to meet your business needs.
Last updated
Was this helpful?
Was this helpful?
The XAI integration empowers your Rapidbott chatbot with dynamic AI capabilities, enabling personalized, context-aware responses and advanced automation.
To start using the XAI integration, you first need to create an API key. In your browser navigate to the XAI platform and within your account you can follow the instructions in the image below to generate your unique API key.
Step 2: Copy Your API Key and Wait for Provisioning
Once you’ve generated the API key, copy it and wait until the provisioning process is completed. This may take a few moments. Ensure that the status indicates the key is ready to use before proceeding.
Step 3: Configure the API Key in Rapidbott
Go to the Integrations section in your Rapidbott dashboard.
Navigate to XAI and paste the copied API key into the designated field.
Click Save and confirm that the status changes to “Verified.”
Once verified, you’re all set to start using XAI in your chatbot flows.
Using XAI in Your Flows
To incorporate XAI in your chatbot workflows:
Open your bot in Rapidbott.
Navigate to an Action Node in your flow.
Select Integrations and choose.
From here, you can configure the XAI integration to perform various actions, including Chat Completions.
Chat Completion
This feature allows you to interact with XAI to generate dynamic responses for user interactions. Below are the configuration fields and their descriptions:
Input Parameters
System Message:
This optional field provides context about your business or bot. For example, if you're creating a restaurant chatbot you can use something similar to this:
System: You are a Rapidbott steak restaurant helpful assistant. You will handle customer support, guide users, and book reservations. The restaurant operates from 9 am to 8 pm Monday to Saturday. No pets are allowed. Always offer the coupon code if applicable.
This helps the AI generate responses aligned with your business rules.
Message:
This is the main user input or prompt for which you want the AI to generate a response. For example:
User: How I can make a reservation?
You can use the system field {{last_text_input}} to dynamically pass user input.
System JSON Field ({{XAi}}): This field tracks the entire conversation history, including system setup and user interactions. The JSON is limited to 20,000 characters. Older entries will be deleted once this limit is reached.
Model
Select the AI model to use. By default, the system uses grok-beta.
Max Tokens
Limits the number of tokens consumed during a task. This is useful for controlling response length and token usage.
Temperature
Controls the randomness of responses.
Higher values (e.g., 1.0) produce more creative answers.
Lower values (e.g., 0.2) result in more deterministic answers.
Presence Penalty
Encourages the AI to generate unique phrases. Higher values reduce repetition.
Frequency Penalty
Controls how much to penalize new tokens based on their frequency in the text so far.
Default Value: 0
Behavior:
A higher value discourages the AI from repeating lines or phrases verbatim.
A value of 0 allows responses to have natural repetitions.
Recommendation: Adjust this if you want less repetitive responses.
Stop Sequences
Defines up to 4 sequences where the AI will stop generating tokens.
Number of Completions
Specifies how many responses the AI should generate for a single prompt.
Default Value: 1
Caution: Setting a higher value will consume more tokens and API quota.
Best used when you want multiple variations of the response for comparison.
Example Usage: Generate 3 options to pick the most suitable reply for a customer query.
Testing the Configuration
Make a test request.
Map the assistant's response to a Custom User Field (e.g., a text field).
Save your configuration.
Sample Response:
json
{
"id": "3b52aa21-8cba-4499-9732-2133d4bbe1f2",
"object": "chat.completion",
"created": 1732584765,
"model": "grok-beta",
"choices": [
{
"index": 0,
"message": {
"role": "assistant",
"content": "To make a reservation at our steak restaurant, please provide me with the following details: - Date and Time for your reservation - The number of people in your party - Your name - A contact number or email address for confirmation. Once I have this information, I can check availability and proceed with booking your reservation."
},
"finish_reason": "stop"
}
],
"usage": {
"prompt_tokens": 78,
"completion_tokens": 139,
"total_tokens": 217
}
}
Building a Chatbot Flow
Once the XAI integration is configured, you can build advanced chatbot flows. For example:
Add a Text Question Node to send the XAI response and capture the user input.
Use the </> symbol to search for the Custom User Field that stores the XAI response.
This flow is an example of a simple flow that can be used as a standard response. You can use your creativity to create flows according to your use case:
This integration can be tailored to your business needs. For instance:
Automating restaurant bookings.
Answering FAQs with dynamic, context-aware responses.
Offering personalized recommendations based on user input.
By leveraging XAI’s capabilities, you can build efficient, intuitive, and highly responsive chatbot experiences for your users.