Ad

SRExpert

Stop juggling 6 Kubernetes tools.

Monitoring, alerts, security, Helm deploys and AI ops in one platform.

Start a 30-day free trial

Step by Step guide: Build a Voice Agent That Never Goes Silent using ADK

14d

Age

Collected

The open-source Agent Development Kit (ADK) and gemini-3.8-live enable developers to build responsive voice agents by implementing non-blocking tools in Python. Developers can use streaming tools to yield progress updates or background execution patterns to keep conversations fluid during long-running backend queries. Additionally, configuring response scheduling behaviors such as WHEN_IDLE, INTERRUPT, or SILENT gives developers precise control over when and…

overfeed.news indexes and links. We publish a short excerpt — the full article stays at Google Developers Blog.

Log in to follow this source

How Agent Anomaly Detection scores on benchmarks we didn't write

Agent Anomaly Detection (AAD) provides asynchronous, low-latency monitoring for AI agents by analyzing OpenTelemetry traces and logs to flag goal hijacks and tool misuse. Tested across five public security benchmarks, AAD successfully caught 87% of harmful instructions carried out by agents without adding runtime latency. Developers can integrate AAD alongside semantic governance and strict tool limits as part of a…

A2UI 1.0: Build delightful, fast, reliable, agentic experiences

A2UI 1.0 is an open protocol for generative UI that enables AI agents to render interactive, native screens across web, mobile, and desktop applications. Developers can leverage open-source renderer SDKs—including React, Angular, Lit, Flutter, SwiftUI, and Jetpack Compose—alongside agent SDKs for Python, TypeScript, and Dart. The release introduces bidirectional function calls, swappable inference formats, and secure data binding to help…

On-Device Speech Recognition and Text-to-Speech in Google AI Edge Gallery

Google AI Edge Gallery now supports on-device, offline Automatic Speech Recognition (ASR) and Text-to-Speech (TTS) capabilities for building developer-friendly voice applications. Developers can leverage ML Kit for optimized Android performance, or use MediaPipe Tasks and LiteRT for cross-platform open-weight model integration. This local pipeline seamlessly pairs lightweight speech models with on-device small language models like Gemini Nano and Gemma 4…

Step by Step guide: Build a Voice Agent That Never Goes Silent…