GitHub:openai/openai-agents-python: A lightweight, powerful

GitHub:openai/openai-agents-python: A lightweight, powerful

The OpenAI Agents SDK is a lightweight yet powerful framework for building multi-agent workflows. It is provider-agnostic, supporting the OpenAI Responses and…

The OpenAI Agents SDK is a lightweight yet powerful framework for building multi-agent workflows. It is provider-agnostic, supporting the OpenAI Responses and

AI Agent行业深度分析

1. Agents SDK | OpenAI API

* [Using tools](https://developers.openai.com/api/docs/guides/tools). * [Overview](https://developers.openai.com/api/docs/guides/agents). * [Quickstart](https://developers.openai.com/api/docs/guides/agents/quickstart). * [Models and providers](https://developers.openai.com/api/docs/guides/agents/models). * [Orchestration](https://developers.openai.com/api/docs/guides/agents/orchestration). * [Guardrails](https://developers.openai.com/api/docs/guides/agents/guardrails-approvals). * [Results and state](https://developers.openai.com/api/docs/guides/agents/results). * [Evaluate agent workflows](https://developers.openai.com/api/docs/guides/agent-evals). * [Voice agents](https://developers.openai.com/api/docs/guides/voice-agents). * [Overview](https://developers.openai.com/api/docs/guides/agent-builder). * [Overview](https://developers.openai.com/api/docs/guides/chatkit). * [Skills](https://developers.openai.com/api/docs/guides/tools-skills). * [Shell](https://developers.openai.com/api/docs/guides/tools-shell). * [Computer use](https://developers.openai.com/api/docs/guides/tools-computer-use). * [Retrieval](https://developers.openai.com/api/docs/guides/retrieval). * [Webhooks](https://developers.openai.com/api/docs/guides/webhooks). * [Overview](https://developers.openai.com/api/docs/guides/prompting). * [Reasoning models](https://developers.openai.com/api/docs/guides/reasoning). * [Getting started](https://developers.openai.com/api/docs/guides/evaluation-getting-started). * [Overview](https://developers.openai.com/api/docs/guides/realtime). * [Voice agents](https://developers.openai.com/api/docs/guides/voice-agents). * [Graders](https://developers.openai.com/api/docs/guides/graders). * [Embeddings](https://developers.openai.com/

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2. Introducing workspace agents in ChatGPT – OpenAI

# Introducing workspace agents in ChatGPT | OpenAI. Log inTry ChatGPT(opens in a new window). # Introducing workspace agents in ChatGPT. Create an agent(opens in a new window)Contact sales(opens in a new window). Today, we’re introducing workspace agents in ChatGPT. Workspace agents are an evolution of GPTs. Powered by Codex, they can take on many of the tasks people already do at work—from preparing reports, to writing code, to responding to messages. They’re also designed to be shared within an organization, so teams can build an agent once, use it together in ChatGPT or Slack, and improve it over time. Workspace agents are designed for that kind of work: they can gather context from the right systems, follow team processes, ask for approval when needed, and keep work moving across tools. Learn how to build workspace agents in the OpenAI Academy⁠, and find more details in the Help Center⁠(opens in a new window).

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3. The next evolution of the Agents SDK – OpenAI

[Skip to main content](https://openai.com/index/the-next-evolution-of-the-agents-sdk/#main). * [A more capable harness for the agent loop](https://openai.com/index/the-next-evolution-of-the-agents-sdk/#a-more-capable-harness-for-the-agent-loop). * [Native sandbox execution](https://openai.com/index/the-next-evolution-of-the-agents-sdk/#native-sandbox-execution). * [Separating harness from compute for security, durability, and scale](https://openai.com/index/the-next-evolution-of-the-agents-sdk/#separating-harness-from-compute-for-security-durability-and-scale). * [Pricing and availability](https://openai.com/index/the-next-evolution-of-the-agents-sdk/#pricing-and-availability). * [What’s next](https://openai.com/index/the-next-evolution-of-the-agents-sdk/#whats-next). We’re introducing new capabilities to the [Agents SDK⁠(opens in a new window)](https://developers.openai.com/api/docs/guides/agents) that give developers standardized infrastructure that is easy to get started with and is built correctly for OpenAI models: a model-native harness that lets agents work across files and tools on a computer, plus native sandbox execution for running that work safely. These primitives include tool use via [MCP⁠(opens in a new window)](https://modelcontextprotocol.io/), progressive disclosure via [skills⁠(opens in a new window)](https://agentskills.io/), custom instructions via [AGENTS.md⁠(opens in a new window)](https://agents.md/), code execution using the [shell⁠(opens in a new window)](https://developers.openai.com/api/docs/guides/tools-shell) tool, file edits using the [apply patch⁠(opens in a new window)](https://developers.openai.com/api/docs/guides/tools-apply-patch) tool, and more. [OpenAI models, Codex, and Managed Agents come to AWS Product Apr 28, 2026](htt

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4. Solutions for agentic workflows – OpenAI

Image 1: Workflow interface showing a connected sequence starting with a green “Start” button leading to a blue “Categorize Agent” step on a soft blue and orange gradient background. Explore OpenAI products that help you use, build, and scale agentic AI. Image 2: ChatGPT interface with browser tabs showing Aerion shoe pages reopened after a user request, with a note confirming four tabs opened and an option to pull more from the last month. * Create customer-facing agentic experiences in your products or specialized internal agents for your team. See how sales, marketing, IT, and product teams use workspace agents to move faster and automate recurring tasks. Image 6: Interface labeled “Evaluate traces” displaying an API log with customer complaint text about a canceled flight and the AI-generated response apologizing for the issue. Connect ChatGPT and agents to your organization’s tools using apps and MCP, or develop custom integrations for your systems. * Explore ChatGPT(opens in a new window). * API log in(opens in a new window).

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对AI Agent行业的深远影响

AI Agent领域正在经历前所未有的变革期。这不仅仅是一场技术革命,更是整个产业链的重构。从上游供应链到下游终端应用,每个环节都在被新技术深刻改变。

对于普通消费者而言,这意味着产品体验的质的飞跃——更智能的功能、更优质的性能、更亲民的价格。而对于行业从业者和投资者来说,则需要密切关注技术演进方向,及时调整战略布局,在变革中抓住机遇。

专家观点与行业趋势

多位行业分析师指出,AI Agent正处于临界点。未来三到五年,将是这个领域格局重塑的关键窗口期。技术创新速度正在加快,市场竞争也日趋激烈。

从技术发展路径来看,多个方向正在同步推进:性能提升、成本优化、应用场景拓展成为主要驱动力。各大企业和研究机构都在加大研发投入,力图在这场竞争中占据有利位置。

未来展望与总结

展望未来,AI Agent领域的发展前景令人期待。技术创新将继续是推动行业发展的核心动力,而市场需求的释放将为行业发展提供广阔空间。

我们预计,接下来将看到更多突破性进展和应用落地。无论是既有厂商还是新入局者,都有机会在这波浪潮中找到自己的位置。我们将持续跟踪这个领域的最新动态,为读者提供及时、深度、有价值的行业分析。

建议相关从业者保持关注,及时了解技术前沿动态;普通消费者则可以期待更多优质产品和服务上市。如有任何更新进展,我们将在第一时间为您带来详细报道。

本文整理自公开网络资讯,发布于 2026年05月04日。内容仅供信息分享,不构成任何投资或购买建议。如有侵权请联系我们删除。

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