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Playbook chatbot to external webpage

Posted on 02-04-2025 06:58 PM
Rajavelu
Bronze 2
Bronze 2
Reply posted on --/--/---- --:-- AM

Hi All,

I've developed a chatbot playbook with integrated tools and it's currently functioning as expected. Now I need to integrate this chatbot into an external webpage. What are the best practices and methods for embedding the bot and controlling both access and the chatbot's user interface on that external page?

For example: If someone logged in the external webpage and it should use the user details to how in chatbot " Welcome User Name" and some UI modification for some response like listing options in button so that user click the option in chatbot to proceed furhter?

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Posted on --/--/---- --:-- AM
MarvinLlamas
Staff
Reply posted on --/--/---- --:-- AM

Hi @Rajavelu,

Welcome to Google Cloud Community!

It looks like you are looking to integrate your chatbot playbook into your external webpage.This involves embedding the chatbot, utilizing your existing login system for personalized experiences and secure user detail transfer, and customizing the chatbot's interface and appearance.

Here are the potential ways that might help with your use case:

  • Choosing an Embedding Method: You may want to implement direct integration via JavaScript SDK/API for the most flexible and comprehensive control over your chatbot's UI and behavior, despite the higher development effort and complexity involved. This approach ensures your chatbot seamlessly integrates with your host page and maximizes its capabilities.
  • User Authentication and Personalization: You've mentioned the user is already logged in on the external webpage. Make sure you have a secure authentication mechanism on your parent page. Avoid passing credentials directly to the chatbot from an unauthenticated page.
  • Performance considerations:  You may want to optimize your chatbot's code to improve your loading time, use a CDN for your static assets, and implement lazy loading to enhance your performance.
  • Security: You may want to implement stringent security measures, including sanitizing your user input to prevent cross-site scripting (XSS) attacks, protecting your sensitive data, and using HTTPS for all your communication.
  • Logging: Implement robust logging on both your external webpage and your chatbot to help you diagnose issues.
  • Error Handling: Implement proper error handling to gracefully handle your authentication failures, network errors, and other unexpected situations.

You can refer to the following documentation, which provides information on Google Cloud's Dialogflow for comprehensive guidance on building chatbots with user authentication and data handling, and Conversational AI for best practices in integrating user data and securing chatbot communications:

Was this helpful? If so, please accept this answer as “Solution”. If you need additional assistance, reply here within 2 business days and I’ll be happy to help.

 

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