{
  "id": 10547191,
  "title": "How to Build a Real-Time Voice AI Agent with the Gemini Live API",
  "url": "https://urgent.news/2026/09/28/how-to-build-a-real-time-voice-ai-agent-with-the-gemini-live-api",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-28T22:22:04.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/googleai/how-to-build-a-real-time-voice-ai-agent-with-the-gemini-live-api-1dhe"
  },
  "original_language": "en",
  "account": "Most people interact with AI assistants throughout their day by speaking to them. However, this interaction is quite different from a live voice agent that offers a natural conversational dynamic. A live voice agent listens, answers in real time, and allows interruptions just like a real phone call. Most AI voice systems lack this capability.\n\nTo build an agent with this capability using the Gemini Live API, there are three key components: a browser client, the Gemini Live API itself, and a Python backend. The browser client captures the user’s microphone audio and plays the agent’s response. The Gemini Live API is an audio-native model that processes live audio, detects speech, and generates voice. The Python backend is a lightweight relay that maintains a persistent connection to Gemini using the google-genai SDK.\n\nThe process begins with opening a bidirectional WebSocket connection. Unlike standard HTTP requests which ask once and close, a live voice call requires an open channel where audio travels in both directions simultaneously. Once the connection is established, the backend runs two loops at the same time: one pumps microphone audio up to Gemini, while the other pulls voice chunks down and plays them. This concurrency is what makes the conversation feel live and allows interruptions to occur naturally.\n\nA critical aspect of making the agent feel truly live is interruption handling. Since the model can only determine when it has been interrupted after the network delay, the agent needs to know when the user starts and stops speaking. This is achieved through voice activity detection (VAD) which is built into Gemini Live. When the built-in VAD detects speech while the model is outputting audio, it sends an interrupted signal. To make this process feel instantaneous, the client must stream audio even when quiet, providing a steady baseline for the model to catch the exact moment of speech initiation. This same VAD powers barge-in, enabling the agent to stop instantly when someone begins speaking over it.\n\nWhile a voice model can only produce words, it can’t perform actions like playing a playlist, skipping tracks, or pausing music. To give the agent these capabilities, tools are attached. A tool is a function with a name, description, and parameters. For example, play_playlist(genre), skip_track(), and pause_music(). When the model decides an action is required, it outputs a tool call containing the extracted parameters. The backend executes the function and reports the result back. However, slow tools create awkward pauses as the model pauses voice generation while waiting for the result. To maintain fluid conversation flow, the asynchronous fire-and-acknowledge pattern is implemented. When a tool like play_playlist is triggered, the slow playback action is dispatched asynchronously, and an instant confirmation code or receipt is immediately returned to the model, allowing it to continue talking seamlessly while the actual music plays in the background.",
  "summary": "This post was originally posted on X , by Annie Wang, Developer Relations Engineer, Google Cloud and Annie Cusack, Developer Marketing Manager, Google Cloud Most of us talk to AI assistants throughout our day. When you want to listen to a specific song, you probably just use your voice instead of manually typing on your phone or touching buttons on a speaker. But there is a big difference between…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}