Google 终于推出了自己的托管智能体服务，而且基于 Gemini 3.5 Flash 成本极低，做文档处理的团队可以直接用 LlamaIndex 的模板快速上手，省去自己搭建解析流程的麻烦。
Google AI 通过 Gemini API 推出了 Managed Agents 服务，这是对 Anthropic Managed Agents 的回应。该服务基于新的 Antigravity 智能体（由 Gemini 3.5 Flash 驱动），号称是面向开发者最具成本效益的通用智能体沙箱。LlamaIndex 团队已为 Gemini Managed Agents 构建了第一天支持，通过 LlamaParse 和 LiteParse 让智能体能够解析 PDF 等非结构化文档。开发者可以配置 Git 仓库，将数据和输出存入其中，智能体在沙箱内自动安装工具并处理文档任务。这为需要处理复杂真实世界文档的开发者提供了一个低成本、自动化的解决方案。
Managed Agents through the Gemini API is @GoogleAI's response to Anthropic Managed Agents Since it'...
Managed Agents through the Gemini API is @GoogleAI 's response to Anthropic Managed Agents Since it's powered by the new Antigravity agent built on Gemini 3.5 Flash, it is the most cost-effective generalized agent sandbox available to developers ⚡️ We built day 1 support for Gemini Managed Agents through LlamaParse and LiteParse - this lets you give the agent access to high-quality tools for parsing PDFs. Check it out! github.com/run-llama/anti… Your browser does not support the video tag. 🔗 View on Twitter LlamaIndex 🦙 @llama_index 🚀 The team at @Google just released the Agents API, a service for building and running custom agents inside a sandboxed Linux environment, and we built a template that gives these agents access to LlamaParse / LiteParse, enabling them to process unstructured documents automatically 📄⚡ Here’s how it works: 🔹 Configure a Git repository where data and outputs will be stored 🔹 Clone the repository into the agent sandbox 🔹 Install the LiteParse CLI, the LlamaParse SDK, and agent skills to use both 🔹 Prompt the agent with a task and watch it process documents autonomously 🤖 The result? An agent that can work directly with messy, real-world documents using LlamaParse and LiteParse within Google’s new agent runtime. Check out the GitHub repos github.com/run-llama/anti… tQC7eu4 Get started with Llama cloud.llamaindex.ai/signup hFV1Brf Your browser does not support the video tag. 🔗 View on Twitter 🔗 View Quoted Tweet 💬 1 🔄 1 ❤️ 1 👀 235 📊 2 ⚡