AI Support

Overview of the AI Chatbot

The AI Chatbot is designed to simulate interactions with your APIs, providing an automated layer of communication that can interpret and respond to API requests dynamically. The AI Chatbot is a core feature designed to streamline your interaction with the Sparrow platform. It acts as a smart assistant that enhances user productivity by offering automated solutions for common API-related tasks. It enables users to interact with APIs more effectively by providing:

• Automated cURL generation: Automatically generate cURL commands for interacting with APIs based on the user’s inputs, making API testing faster and easier.

• Dynamic documentation generation for up-to-date API references: The AI Chatbot can assist in generating real-time API documentation, ensuring users always have up-to-date references for their APIs.

• Mock parameter generation for simulating real-world API scenarios: Quickly create mock parameters for testing API endpoints, helping users simulate real-world scenarios without manual input.

Each of these features is detailed in the following sections, providing step-by-step details on how to use the AI Chatbot in Sparrow.

cURL Generation Using AI

The AI Chatbot can generate cURL commands based on user inputs, making it easier to interact with APIs without manually writing cURL commands.

Steps to Generate cURL Commands:

1. Access the AI Chatbot:
   • Navigate to the API Request tab within the Sparrow interface.
   • Click on the Chatbot icon at the bottom right corner of the screen.

2. Input API Details:
   • Provide the AI Chatbot with specific API details, such as:
     • API Endpoint: The URL of the API you want to interact with.
     • Method: GET, POST, PUT, DELETE, etc.
     • Headers: Include necessary headers like Authorization, Content-Type, etc.
     • Parameters: Add key-value pairs for query or path parameters.

3. Request cURL Generation:
   • In the chat interface, ask the chatbot to generate a cURL command based on the input details.
   • The chatbot will automatically create a cURL command, which can be copied and executed in your terminal.

Example Interaction:

• User Input: "Generate a cURL for this GET API with bookingStatus as 'Ongoing' and cardType as 'Credit'."
• AI Chatbot Output: Automatically generated cURL command to fetch data from the specified API with the required parameters.

Documentation Generation Using AI

The AI Chatbot can assist in dynamically generating API documentation, ensuring users always have access to the latest reference material.

Steps to Generate Documentation:

1. Access the AI Chatbot:

   • As before, click on the Chatbot icon in the Sparrow interface to initiate a session.

2. Provide API Details:

   • Input relevant API details such as the API Endpoint, Headers, and Parameters into the chat.

3. Request Documentation Generation:

   • Ask the chatbot to generate documentation for the API in question.
   • The chatbot will automatically generate documentation snippets based on the API interaction, which may include:
     • Endpoint details.
     • Required headers and parameters.
     • Expected responses.
     • Example request and response.

4. Review and Use the Documentation:
   • Copy the generated documentation and use it in your internal or external API documentation repository.

Example Interaction:

• User Input: "Generate documentation for this API, including details about the parameters and headers."
• AI Chatbot Output: Detailed documentation with an endpoint, method, headers, and sample request/response examples.

Mock Parameter Generation Using AI

The AI Chatbot can also generate mock parameters for API testing, allowing users to simulate API calls without needing real data.

Steps to Generate Mock Parameters:

1. Access the AI Chatbot:

   • Initiate the chatbot by clicking its icon at the bottom right corner of the screen.

2. Provide API Details:

   • Input the required API details such as the Endpoint, Method, Headers, and Parameters.

3. Request Mock Parameter Generation:

   • Ask the chatbot to generate mock data for the provided API parameters.
   • The chatbot will return a set of mock values that simulate realistic API responses.

4. Use the Mock Parameters:

   • The generated mock data can be copied and used in your API testing environment to simulate responses without needing real API calls.

Example Interaction:

• User Input: "Can you create mock data for bookingStatus 'Ongoing' and cardType 'Credit'?"
• AI Chatbot Output: Mock data (as shown in the image), which can be used to test the API response with various scenarios.

Conclusion

The AI Chatbot in Sparrow offers an easy-to-use interface for automating cURL generation, documentation creation, and mock parameter generation. By following the steps outlined above, users can improve their productivity and streamline API interactions. This intelligent assistant not only saves time but also enhances accuracy in API testing and documentation.