xAI Grok Prompt and Response

The xAI Grok Chat Prompt Example flow demonstrates how to interact with the xAI Grok API to send chat prompts and receive AI-generated responses. The flow facilitates the entire process, from sending a prompt to the xAI Grok API, receiving the response, formatting it, and creating a record for further use. It provides robust testing and error-handling capabilities, making it a comprehensive tool for integrating AI-driven chat functionalities into various applications.

You can find this template in the Services Catalog under these categories:

• AI, Contextual Basics

What's Included:

• 1 Flow

• 1 Object Type

• 1 Connection

What You'll Need:

• Access to the xAI Grok API

• API Key for the xAI Grok service

Ideas for Using the xAI Grok Chat Prompt Flow:

• Conversational AI: Use the flow to automate AI-driven chat responses for customer service, virtual assistants, or other conversational agents.

• Decision Support: Leverage the flow to process complex user queries and retrieve insights from the xAI Grok API, enabling faster and more informed decision-making.

• Content Generation: Automate the creation of content by sending tailored prompts to the xAI Grok API, with responses stored for easy retrieval and further use.

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Flow Overview:

Flow Start

The flow begins with an optional testing phase where a test prompt is injected directly within the editor. This is designed for easy testing and modification.

Send Prompt and Receive Response

The flow sends the user-defined prompt to the xAI Grok API. The response from the API is logged for review and passed on for further processing and formatting.

Format Response & Create Record

The received response is formatted into a structured record, including the original prompt and AI-generated content. This data is stored in the system for further analysis.

Error Handling

The flow includes error-catching capabilities, where any issues that occur during processing are captured, logged, and stored, ensuring efficient debugging and troubleshooting.

Flow End

The flow concludes by either successfully creating records or logging any errors that occurred during the process.

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xAI Grok Chat Prompt Flow Details:

Inbound Send to Agent Events

• Nodes: contextual-start

• Purpose: Initiates the flow, triggered by an external agent or another flow.

In-Editor Testing

• Nodes: Test Prompt, Prepare Prompt

• Purpose: Allows for testing the flow directly in the editor. The user prompt is passed to the xAI Grok API for processing.

Code Example: Prepare Prompt Function

// Prepare the payload for xAI Grok API request
msg.payload = {
    model: "grok-beta",
    messages: [
        { role: "user", content: msg.payload.prompt }
    ],
    stream: false,
    temperature: 0
};
return msg;

Explanation: This function constructs the payload for the xAI Grok API, specifying the model and structuring the user’s prompt for processing.

Send Prompt and Receive Response

• Nodes: Prompt xAI Grok Chat, xAI Grok Chat Response

• Purpose: Sends the prompt to the xAI Grok API. The response is logged and passed on for further formatting.

Code Example: xAI Grok Chat Response Log

// Log the response from the xAI Grok API
msg.payload.response = {
    aiResponse: msg.payload.response.choices[0].message.content
};
return msg;

Explanation: This function logs the AI-generated response from the xAI Grok API for further processing and storage.

Format Response & Create Record

• Nodes: Prepare Record Data, Create AI Response Record, Create AI Response Record Log

• Purpose: Formats the AI response into a structured record and stores it, including the original prompt and AI response.

Code Example: Prepare Record Data Function

// Prepare data for the Create Object node
let body = {
    prompt: msg.payload.messages[0].content,
    aiResponse: msg.payload.response.choices[0].message.content
};
msg.payload = body;
return msg;

Explanation: This function formats the data received from the API, readying it for storage as a record in the system.

Error Handling

• Nodes: catch, Error Catch Log, contextual-error

• Purpose: Catches any errors encountered during the flow and logs them for troubleshooting.

Flow End

• Nodes: contextual-end

• Purpose: The flow finishes once the records have been created or any errors have been logged.

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Summary of Flow:

• Flow Start: Test with a sample prompt or trigger the flow externally.

• Data Preparation: Format the user’s prompt for sending to the xAI Grok API.

• API Interaction: Submit the prompt and receive the AI-generated response.

• Record Creation: Format the response and store it for further use.

• Error Handling: Capture and log any errors that occur.

• Flow End: Complete the process after records are created or errors are logged.