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# OpenAI launches managed Agents API to simplify enterprise AI agent development

**[InfoWorld](https://daily.dev/sources/infoworld)** · 5 min read · 0 upvotes · 0 comments

## Summary

OpenAI launched a managed Agents API in public beta that bundles orchestration, context management, and execution infrastructure into a single API call, drawing on the harness behind Codex. Developers specify task, model, tools, and environment, and can run agents in an OpenAI-managed sandbox, their own infrastructure, or third-party providers like Cloudflare, DigitalOcean, and Vercel. Analysts say it reduces engineering overhead (job queues, state databases, retry policies) and shortens time to production, but raises concerns around OpenAI lock-in, weakened negotiating leverage, and lack of Zero Data Retention support, which could limit adoption in regulated industries. It competes with Anthropic's Claude Managed Agents, Amazon Bedrock AgentCore, Microsoft Foundry Agent Service, and LangGraph.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.infoworld.com/article/4221163/openai-launches-managed-agents-api-to-simplify-enterprise-ai-agent-development.html>

## Questions this post answers

### What is OpenAI's new Agents API and how is it different from the Agents SDK or Responses API?

The Agents API is a managed service, currently in public beta, that lets developers create a custom AI agent in a single API call by specifying task, model, tools, and execution environment. Unlike the Agents SDK, which requires developers to orchestrate workflows themselves, or the Responses API, which offers built-in capabilities like web search, OpenAI hosts and maintains the underlying agent harness and infrastructure directly.

_Enterprises comparing managed agent platforms can track how these offerings evolve via daily.dev._

### Where can I run agents built with OpenAI's Agents API?

Agents built with the Agents API can run in an OpenAI-managed sandbox, on a company's own infrastructure, or through supported third-party sandbox providers including Blaxel, Cloudflare, Daytona, DigitalOcean, E2B, Modal, Oracle, Runloop, and Vercel. This gives teams flexibility to choose fully managed deployments or run within their own VPC depending on compute and data storage needs.

_Developers weighing deployment options for AI agents can follow infrastructure updates on daily.dev._

### Does OpenAI's Agents API support Zero Data Retention, and why does that matter for enterprises?

No, the Agents API does not support Zero Data Retention, even when enterprises use their own sandbox environment. This gap raises data privacy and governance concerns that could limit adoption in regulated industries such as healthcare and BFSI, where strict data handling requirements typically apply.

_Teams in regulated industries evaluating agent platforms can weigh data governance tradeoffs via daily.dev._

---

Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#openai](https://daily.dev/tags/openai)

[View this post on daily.dev](https://daily.dev/posts/openai-launches-managed-agents-api-to-simplify-enterprise-ai-agent-development-s5sxkbciz)

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