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OpenAI 推出 Agents API:将 Codex 拆为云端服务,Agent 创建简化为一次 API 调用

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据 AIbase 报道,OpenAI 发布涵盖 Agents、语音交互、数据管理和金融服务四项产品更新,其中 Agents API 将 Codex 能力拆解为云端服务,以“能力即服务”模式提供,编排、执行与托管均在云端完成,开发者一次 API 调用即可启动托管 Agent,无需自行搭建上下文预算、压缩和记忆机制。文章称此举是 OpenAI 从卖模型转向构建开发者生态的关键一步,并提到 DeepSeek、Anthropic、Google 在 Agent 执行框架上的竞争,以及办公 Agent 成为主战场。该报道未提供官方链接、API 细节、定价或可用性信息,相关产品更新尚待官方确认。

AI推荐理由 内容涉及 OpenAI 将 Codex 能力拆分为云端 Agents API、以托管方式降低 Agent 构建门槛,对开发者和 Agent 生态有实际参考价值;但正文为二手转述,缺少官方链接、API 细节、定价与可用性等可验证信息,且夹杂对 DeepSeek、Anthropic、Google 竞争格局的泛化评论,信息密度和事实明确度一般,故质量分中等。

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OpenAI Launches Agents API: Splitting Codex into Cloud Service, Making Agent Creation as Simple as an API Call AIbase基地 Published inAI News · 3 min read · Sep 14, 2026 1 OpenAI has recently released four product updates, covering the areas of Agents, voice interaction, data management, and financial services. What truly caught developers' attention is the Agents API. It breaks down the capabilities of Codex into a cloud service, delivering them in the "capability as a service" model, significantly lowering the barrier to building intelligent agents. This is seen as a key step for OpenAI to shift from selling a single model to building a developer ecosystem, and also the result of its previous Codex initiatives. The key point of this move lies in the change of positioning. In the past, OpenAI mainly provided models, and developers had to build their own frameworks, manage context, and connect tools. Now, the orchestration, execution, and hosting of agents are all included in the cloud, and a single API call can launch a managed agent. For small teams, this means they no longer need to build their own complex context budgeting, compression, and memory mechanisms, but can directly run their business on top of OpenAI's platform. The competition around harness (execution framework) is intensifying. DeepSeek, Anthropic, and Google have each made their own moves in this technical field. The core of the competition is the extension of AI capabilities from "intelligence" to "execution" — whoever can truly turn models into workable, tool-attaching, and long-task-running execution entities will grasp the next phase. Office agents have become the most intense battlefield: Google has a full-stack advantage, with models, tools, and office suites all available, but faces the real challenge of integrating multiple products. Meanwhile, several major tech companies in China are also competing closely in the office scenario, with their core strategy being to translate existing platform advantages into agent capabilities. The real test is the ability of enterprises to restructure traditional business resources. OpenAIAgentsAPICodexAI Capabilities This article is from AIbase Daily Scan to view Welcome to the [AI Daily] column! This is your daily guide to exploring the world of artificial intelligence. Every day, we present you with hot topics in the AI field, focusing on developers, helping you understand technical trends, and learning about innovative AI product applications. —— Created by the AIbase Daily Team © Copyright AIbase Base 2024, Click to View Source -

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