Google recently published a hands-on guide to creating a low‑latency, bi‑directional, real‑time voice agent using its Gemini model and the Agent Development Kit (ADK). Here’s the core breakdown:
- Start with a basic conversational agent — one with persona and trained knowledge, but no external tool access.
- Make it more capable by integrating tools like Google Search and the Maps MCP Toolset, giving your agent real‑world data and dynamic capabilities.
- Use RunConfig with bi-directional streaming (BIDI) to configure seamless voice input/output and allow interruptions — for natural, conversational feel.
- Manage concurrency with Python's asyncio and TaskGroup, enabling your system to listen, think, and speak simultaneously.
- Encode audio responses in Base64 for smooth transmission, and stream text transcripts in real-time to support rich interaction.
Everything you need is in the blog—code samples, configuration tips, and architectural insights to help you get started faster and smoother.