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OpenAI launches Agents API in public beta, exposing Codex infrastructure to developers

OpenAI has released the Agents API in public beta, providing developers with direct access to the managed infrastructure and harness that power Codex. This service allows developers to deploy long-running, multi-agent systems using a single API call, with options to run agents in OpenAI-hosted sandboxes, self-hosted environments, or through nine partner integrations including Cloudflare, Vercel,…

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Key points

  • OpenAI's Agents API public beta exposes the Codex harness, supporting OpenAI-hosted, self-hosted, and nine partner sandboxes.
  • The API automates context compaction, tool search, and subagent coordination, reducing developer overhead for long-running tasks.
  • Current limitations include US-only data residency and lack of Zero Data Retention support, potentially restricting regulated industry use.

The API abstracts complex agent management tasks, automatically handling context compaction, efficient tool loading, and subagent coordination. It supports Model Context Protocol (MCP) servers and custom functions, enabling agents to execute parallel operations and filter results programmatically to reduce token costs. OpenAI maintains the harness alongside model updates, ensuring compatibility with new releases like GPT-6 Astra.

While the service is live for all developers, it currently enforces US-only data residency and does not support Zero Data Retention, which may limit adoption in highly regulated sectors. Early customer reports from firms like Ciridae and SafetyKit indicate significant improvements in latency, cost efficiency, and reliability, suggesting the platform is ready for production workloads despite these compliance constraints.

Model page: GPT-6-Astra →

The story so far

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  1. OpenAI launches Agents API in public beta, exposing Codex infrastructure to developersthis story
Full story from MarkTechPost · by Asif RazzaqOpen source ↗

OpenAI Launches the Agents API in Public Beta, Putting the Codex Harness Behind One API Call

MarkTechPost · 10 September 2026

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This text was published by MarkTechPost and written by Asif Razzaq. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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