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Gemini Managed Agents with a new release today🚀 ✅- Model selector and Gemini 3.6 Flash 🪝- Agent Hooks for pre_tool and post_tool events 📦- Environments API to inspect, list, and delete envs Try it out today and let us know your feedback!

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Jack Wotherspoon

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45,676 görüntüleme • 13 gün önce •via X (Twitter)

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Gemini Managed Agents with a big release today 🚀 🆓 - Free tier now available via the Gemini API 🪙 - Set budget guardrails with max_total_tokens 🕘 - Schedule your agent to run with triggers Give them a try and let us know your feedback!
0:25

Gemini Managed Agents with a big release today 🚀 🆓 - Free tier now available via the Gemini API 🪙 - Set budget guardrails with max_total_tokens 🕘 - Schedule your agent to run with triggers Give them a try and let us know your feedback!

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Today, we're introducing not one but TWO new models, striking the balance between efficiency and quality to enable you to build production AI agents. — Gemini 3.6 Flash: Addresses efficiency feedback we received from Gemini 3.5 Flash with upgrades in coding, knowledge work, and multimodal tasks faster, more accurately, and with substantially fewer tokens per task — Gemini 3.5 Flash-Lite: Our fastest, most cost-effective 3.5-class model yet built for agentic workflows, hitting ~350 output tokens/sec with improved coding and overall quality Start building with these today via the Gemini API in Google AI Studio or try them out in the Google Gemini
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Today, we're introducing not one but TWO new models, striking the balance between efficiency and quality to enable you to build production AI agents. — Gemini 3.6 Flash: Addresses efficiency feedback we received from Gemini 3.5 Flash with upgrades in coding, knowledge work, and multimodal tasks faster, more accurately, and with substantially fewer tokens per task — Gemini 3.5 Flash-Lite: Our fastest, most cost-effective 3.5-class model yet built for agentic workflows, hitting ~350 output tokens/sec with improved coding and overall quality Start building with these today via the Gemini API in Google AI Studio or try them out in the Google Gemini

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introducing Gemini 3.6 Flash: our latest model that balances speed with intelligence to deliver strong performance in agentic and multimodal tasks built directly on developer and customer feedback from 3.5 Flash available now in AI Studio and the Gemini API
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introducing Gemini 3.6 Flash: our latest model that balances speed with intelligence to deliver strong performance in agentic and multimodal tasks built directly on developer and customer feedback from 3.5 Flash available now in AI Studio and the Gemini API

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Gemini 3.5 flash + Gemini managed agents api just audited a real megatron-lm ci failure inside Eigent. root cause in minutes! watch the handoff: coordinator agent plans the audit, developer agent loads the ml-failure-audit skill and gathers the evidence, then gemini agent steps in as a remote sub-agent for the heavy reasoning. gemini managed agents api and gemini 3.5 flash now live on our open-source cowork Eigent! Google AI Developers Google AI Studio
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Gemini 3.5 flash + Gemini managed agents api just audited a real megatron-lm ci failure inside Eigent. root cause in minutes! watch the handoff: coordinator agent plans the audit, developer agent loads the ml-failure-audit skill and gathers the evidence, then gemini agent steps in as a remote sub-agent for the heavy reasoning. gemini managed agents api and gemini 3.5 flash now live on our open-source cowork Eigent! Google AI Developers Google AI Studio

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Second, using 3.1 Flash-Lite in Google AI Studio, we built a retail business agent that plans and executes multi-step tasks for you like reporting and dashboard automation - saving you time to focus on the things that matter most. Beginning today, the model is rolling out in preview via the Gemini API in Google AI Studio and Vertex AI. Try it out and let us know what you think.
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Second, using 3.1 Flash-Lite in Google AI Studio, we built a retail business agent that plans and executes multi-step tasks for you like reporting and dashboard automation - saving you time to focus on the things that matter most. Beginning today, the model is rolling out in preview via the Gemini API in Google AI Studio and Vertex AI. Try it out and let us know what you think.

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The new Gemini Developer Platform is live. Build on our APIs within minutes. We have Quickstarts in multiple languages, plug-and-play Skills to drop straight into your AI agents, and more: -stream real-time prices over WebSockets -integrate our REST API for trading and fund mgmt -use our MCP API for agentic trading Check it out and let us know your feedback. Onward!

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Just in: Gemini 3.1 Pro preview is now available for AI assistance in Android Studio. Test the new model by plugging in your Gemini API key, and let us know what you think →
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Just in: Gemini 3.1 Pro preview is now available for AI assistance in Android Studio. Test the new model by plugging in your Gemini API key, and let us know what you think →

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Gemini in Android Studio's Agent Mode is your coding partner for complex tasks, and is able to dive into your codebase to answer your questions and make changes. Try it today in the latest stable release →
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In December, we launched Gemini 1.0 Pro. Today, we're introducing Gemini 1.5 Pro! 🚀 This next-gen model uses a Mixture-of-Experts (MoE) approach for more efficient training & higher-quality responses. Gemini 1.5 Pro, our mid-sized model, will soon come standard with a 128K-token context window, but starting today, developers + customers can sign up for the limited Private Preview to try out 1.5 Pro with a groundbreaking and experimental 1 million token context window! The 1M tokens feature unlocks huge possibilities for devs - upload hundreds of pages of text, entire code repos, and long videos and let Gemini reason across them. It's still experimental and early and we’d love your feedback - learn more here.
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In December, we launched Gemini 1.0 Pro. Today, we're introducing Gemini 1.5 Pro! 🚀 This next-gen model uses a Mixture-of-Experts (MoE) approach for more efficient training & higher-quality responses. Gemini 1.5 Pro, our mid-sized model, will soon come standard with a 128K-token context window, but starting today, developers + customers can sign up for the limited Private Preview to try out 1.5 Pro with a groundbreaking and experimental 1 million token context window! The 1M tokens feature unlocks huge possibilities for devs - upload hundreds of pages of text, entire code repos, and long videos and let Gemini reason across them. It's still experimental and early and we’d love your feedback - learn more here.

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Gemini 3.1 Flash-Lite is our most cost-efficient Gemini 3 series model 🔦 Folks who are keen to experiment with it in Gemini CLI can do so with an API key and the -m flag. ❯ gemini -m gemini-3.1-flash-lite-preview Official support for it in /model will be coming soon 🔜
0:43

Gemini 3.1 Flash-Lite is our most cost-efficient Gemini 3 series model 🔦 Folks who are keen to experiment with it in Gemini CLI can do so with an API key and the -m flag. ❯ gemini -m gemini-3.1-flash-lite-preview Official support for it in /model will be coming soon 🔜

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Three years ago, Gemini started by understanding the world. With Gemini 2, models learned to think and reason. Late last year, Gemini 3 brought any idea to life. Today, we’re continuing that journey with our Gemini 3.5 series, starting with Gemini 3.5 Flash, delivering frontier performance for agents and coding.

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What if you can build an Agent with it own computer in a single api call? At my Google I/O talk, I showed how to use Gemini Managed Agents and the new Interactions API to give your AI a secure, hosted Linux sandbox to execute code and manage its own memory.

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Today we introduced Gemini Enterprise, built with our most advanced Gemini models. It allows you to chat with your company’s documents, data and apps as well as build and deploy AI agents, all grounded in your information and context. Have a look at how it helps you build an agent for almost anything:

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A nice aspect of our new Gemini 3.6 Flash model is that it is much more token efficient than our 3.5 Flash model. Here's a side-by-side demonstration of that. Nice work by everyone who worked on this model and release!
1:11

A nice aspect of our new Gemini 3.6 Flash model is that it is much more token efficient than our 3.5 Flash model. Here's a side-by-side demonstration of that. Nice work by everyone who worked on this model and release!

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0:25

👾Watch a multi-agent system built with Gemini 3.6 Flash iterate on playable game design in real time. It uses Gemini 3.5 Flash-Lite to design, construct, and verify puzzle challenges based on live player actions balancing speed and reasoning in a fast-paced environment.

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Build voice agents with visibility into every interaction ✨ Learn how Caroline di Vittorio from LangChain uses the Google ADK, the Gemini Live model, and LangSmith to trace voice agent behavior, inspect tool calls, review interruption events, analyze token costs, and more.
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Build voice agents with visibility into every interaction ✨ Learn how Caroline di Vittorio from LangChain uses the Google ADK, the Gemini Live model, and LangSmith to trace voice agent behavior, inspect tool calls, review interruption events, analyze token costs, and more.

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Spend caps in the Gemini API, available starting today!! This is another step forward of many to give developers more control and peace of mind when building with Gemini. Please go set a cap and send us any feedback as you use them!
2:08

Spend caps in the Gemini API, available starting today!! This is another step forward of many to give developers more control and peace of mind when building with Gemini. Please go set a cap and send us any feedback as you use them!

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Gemini 3.1 Flash Live just dropped and it's available with LiveKit today. This is the first Gemini 3 native audio model on the Live API. Better instruction following, improved tool calling, reduced speaker drift, and support for 70+ languages. Audio in, audio out. No text conversion in between.
1:23

Gemini 3.1 Flash Live just dropped and it's available with LiveKit today. This is the first Gemini 3 native audio model on the Live API. Better instruction following, improved tool calling, reduced speaker drift, and support for 70+ languages. Audio in, audio out. No text conversion in between.

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