Integrate an AI Agent with a Flutter App Using AI Applications,
Автор: Start training
Загружено: 2025-08-03
Просмотров: 745
In this lab, you integrate an AI agent with a Flutter app. Flutter is used as the client app framework, Vertex AI Search is used as a vector DB, and Reasoning Engine is used to build and deploy an agent with LangChain on Vertex AI. The agent uses Gemini, a family of highly capable large language models (LLMs) to generate AI responses to text and image prompts.
The lab is pre-provisioned with VSCode as the IDE using code-server, along with the Flutter and Dart extensions that are required to run the Flutter app. The lab also includes fwr, a tool that you use to serve the Flutter app as a web application which you access using a browser.
This lab is intended for developers of any experience level who contribute to building apps but might not be familiar with cloud application development. It helps to have some experience in Python, and to be familiar with the Flutter framework. It is not required to know Flutter to perform the tasks in this lab, though you will review some of the Flutter app code, and test the app's functionality.
Objectives
In this lab, you perform the following tasks:
Create a search data store and search app using AI Applications in the Google Cloud console.
Deploy a Reasoning Engine agent using Vertex AI Workbench.
Use a Python app that integrates with Vertex AI Search and Reasoning Engine agent.
Deploy the app to Cloud Run and use it as the backend for a Flutter app.
Set up a Firebase project and connect it to the Flutter app.
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