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Google shipped a small Gemini API update that now lets developers combine Google Maps and Google Search tools simultaneously with Gemini to build location-based apps.
Google announced updates to Managed Agents in the Gemini API, including a default to the Gemini 3.6 Flash model, environment hooks for tool call auditing, budget controls, scheduled triggers, and free tier access.
Google is expanding Managed Agents in the Gemini API with new capabilities including background execution, remote MCP server integration, custom function calling, and credential refresh, enabling more reliable and production-ready agents.
A developer built Slop-Cops, a Reddit app where five AI agent personalities debate and rate user-submitted project ideas, using Google Gemini API and Reddit's Devvit platform.
Google has significantly increased the free tier limit of the Gemini API on Google AI Studio to 1,000,000 free tokens per minute, with no thresholds or restrictions, providing developers with massive free computing resources.
Google launched Managed Agents in the Gemini API, allowing developers to create AI agents with reasoning, tool use, and code execution in isolated Linux environments via a single API call.
Google announces the official launch of Managed Agents in the Gemini API, enabling agent development with zero infrastructure overhead. The article also highlights AGENTS.md, an open format for providing context to AI coding agents, adopted by over 60k open-source projects.
Google has shipped the first iteration of API Key breakdown for Gemini API usage, allowing users to filter request charts by API key, with more granular controls coming soon.
Built a GitHub Issue Triage Agent using a single curl to the Gemini API that clones repos, fetches issues, classifies them, and executes reproducer code to confirm bugs, without any orchestration framework.
Jerry Liu announces LlamaIndex's day-1 support for Google's new Managed Agents via the Gemini API, providing a cost-effective agent sandbox and a CLI tool (Antigravity) that integrates LlamaParse for PDF parsing.
Phil Schmid announces Managed Agents in the Gemini API, enabling one-call agents with code execution, web browsing, and file management in isolated sandboxes, powered by Gemini 3.5 Flash.
Google has expanded the Gemini API File Search tool to support multimodal data, enabling developers to build more efficient and verifiable retrieval-augmented generation (RAG) systems with features like custom metadata filtering and page citations.
Google DeepMind upgraded Deep Research with arbitrary MCP support for secure third-party data analysis and automatic generation of presentation-ready visuals.
Google introduces Flex and Priority inference tiers for the Gemini API, offering developers granular control over cost and reliability for synchronous requests. Flex provides 50% savings for latency-tolerant tasks, while Priority ensures high reliability for critical applications.
Google releases Veo 3.1 Lite, a cost-effective video generation model available on the Gemini API with 50% lower cost than Veo 3.1 Fast while maintaining the same speed. The model supports text-to-video and image-to-video generation with flexible resolutions and aspect ratios.
Google has released Lyria 3, its newest music generation model, available to developers through the Gemini API and Google AI Studio. The model offers two variants: Lyria 3 Pro for full songs and Lyria 3 Clip for shorter clips, with controls for tempo, lyrics, and image-to-music multimodal input.
A GitHub repository providing a collection of Agent Skills for Google Cloud and Gemini API, installable via npx, to help AI agents interact with Google technologies.