Learn how to build a powerful, AI-powered chat feature for your iOS app! In this video, https://www.youtube.com/@PeterFriese from the Firebase team shows you how to use Firebase AI Logic to create a conversational interface from scratch.
We'll start by tackling the biggest challenge in AI chat: the "stateless" nature of LLMs. You'll learn why models have no "memory" and how Firebase AI Logic's Chat API (sendMessage) automatically manages conversation history for you, making complex, multi-turn conversations possible.
Using a "Friendly Meals" sample app built with Swift and SwiftUI, you will learn how to:
Set up the Gemini 2.5 Flash model with Firebase.
Use System Instructions to give your AI a unique personality.
Enable multimodal chat (sending images like PNGs and JPEGs).
Implement real-time streaming responses (sendMessageStream) to create a smooth, modern UX and avoid lag.
Chapters:
00:04 - Introduction
01:58 - LLMs can't actually keep conversation history ?
03:02 - The secret to conversation: managing context
05:19 - Preparing for chat
05:55 - System instructions
06:28 - Starting a chat
06:52 - Sending messages
08:41 - Multimodal chat
10:03 - Streaming chat for improved UX
12:22 - Demo
12:39 - Conclusion
Resources:
Friendly Meals Sample App (GitHub) → https://goo.gle/43fXb4x
Video: Getting started with Firebase AI Logic on iOS → https://goo.gle/47CijmI
Video: Gemini Developer API vs. Vertex AI API (What is Firebase AI Logic?) → https://goo.gle/47pQG1p
Firebase AI Logic Documentation → https://goo.gle/4qINGVp
Watch more Firebase Fundamentals → https://goo.gle/Firebase-Fundamentals
Subscribe to Firebase → https://goo.gle/Firebase
#Firebase #Firebase AI Logic #AI Chat #iOS Development #Swift #SwiftUI #Gemini #Vertex AI #Multimodal AI #Streaming AI #Generative AI #LLM #How to build an AI app #AI Chatbot #Developer Relations #Google #Friendly Meals #AI App
Speaker: Peter Friese
Products Mentioned: Firebase, Firebase AI Logic,