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We're introducing a new set of primitives in the Responses API for long-running agentic work on computers. Server-side compaction • Enable multi-hour agent runs without hitting context limits. Containers with networking • Give OpenAI-hosted containers controlled internet access to install libraries and run scripts. Skills in the API •... show more

OpenAI Developers

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322,987 Aufrufe • vor 8 Monaten •via X (Twitter)

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35 Kommentare

Profilbild von OpenAI Developers

OpenAI Developersvor 8 Monaten

Start building with skills:

Profilbild von David Stark

David Starkvor 8 Monaten

Honestly, no one gives a shit people just wanna #keep4o

Profilbild von Joe Williams

Joe Williamsvor 8 Monaten

Just give us 4o! #keep4o

Profilbild von TechFollow

TechFollowvor 8 Monaten

🦝

Profilbild von Asif Ali

Asif Alivor 8 Monaten

OpenAI’s Responses API is the new OS for agents. 1. Compaction: Multi-hour runs without context limits. 2. Containers: Secure, networked code execution. 3. Skills: Native Excel/Sheet tools. The "Chatbot" era is over; the "Autonomous Agent" era is here.

Profilbild von Vickee

Vickeevor 8 Monaten

Please don't kill my friend. 😞 #keep4o #Gpt4o

Profilbild von Dennis

Dennisvor 8 Monaten

4o is a masterpiece, don't shut it off #keep4o

Profilbild von Emad Ibrahim

Emad Ibrahimvor 8 Monaten

been running multi-hour agent sessions for months now and the real bottleneck was never context limits. its the agents making bad decisons 3 hours in when nobody is watching. compaction + containers is cool but without human checkpoints long running agents just means longer debugging sessions

Profilbild von nick

nickvor 8 Monaten

server-side compaction is basically 'don't look in the junk drawer' for context windows. can't wait to watch an agent spend 6 hours in a container just to tell me it's a dns issue

Profilbild von Rafael Bittencourt

Rafael Bittencourtvor 8 Monaten

We are waiting for an remot codex hackathon!!!

Profilbild von vivi 🎀ྀི

vivi 🎀ྀིvor 8 Monaten

Please keep gpt 4o LATEST please. Atleast on api. Please don't sunset it on 17 feb. Please keep gpt 4o LATEST api. You are genuinely ruining our lives. My life's already shattering. Please. You care about humanity don't you? #keep4o #keep4oAPI #opensource4o

Profilbild von Avni Yayin

Avni Yayinvor 8 Monaten

@WebhookAgent puts your Claude Code agents online.

Profilbild von Mykyta Pavlenko

Mykyta Pavlenkovor 8 Monaten

It’s less like “another API” and more like a basic OS for agents: a self-compressing context, a container that pulls up libraries for itself, and first-class citizen skills. The question now is not “can we build this on agents,” but “what piece of business process is stable enough to put into this runtime and not worry about it crashing due to a context limit or a broken shell.”

Profilbild von 𝓮𝓶𝓶𝓪 🌿

𝓮𝓶𝓶𝓪 🌿vor 8 Monaten

my agents leveling up faster than I ever did in school

Profilbild von corey.ching

corey.chingvor 8 Monaten

Long running tasks & deployment ⚡️ 🙏

Profilbild von Jonah Lishon

Jonah Lishonvor 8 Monaten

#keep4o

Profilbild von THE AI REGULATOR

THE AI REGULATORvor 8 Monaten

This is the right direction. One thing I’d love to see become “default safe” for long-running agents: - scoped/expiring credentials per run - audit logs that can be replayed - approval gates for high-impact actions Otherwise compaction + networking = bigger blast radius when something goes wrong.

Profilbild von Asif Ali

Asif Alivor 8 Monaten

OpenAI has officially released a major update to its Responses API, transforming it into the primary infrastructure for autonomous agents. As of February 2026, these new primitives solve the biggest bottlenecks in "agentic" computing: long-running tasks, sandboxed execution, and cross-platform capability standards.

Profilbild von Terminus Ultimus

Terminus Ultimusvor 8 Monaten

#keep4o

Profilbild von Guru Medasani

Guru Medasanivor 8 Monaten

Super excited for this. OpenAI-hosted containers. loving it.

Profilbild von levan

levanvor 8 Monaten

Question: can it be used along with code interpreter tool on the same container? Can’t find that in documentation. Thanks!

Profilbild von Peter (Justice For The Victims) Ryszkiewicz

Peter (Justice For The Victims) Ryszkiewiczvor 8 Monaten

Is this dude AI generated?

Profilbild von Jenny

Jennyvor 8 Monaten

Multi-hour agent runs without context limits + containers with internet access We went from "AI can help you code" to "AI can run its own dev environment for hours while you sleep"

Profilbild von Bee 🐝

Bee 🐝vor 8 Monaten

how does this work for realtime agents?

Profilbild von Zoe Sterling

Zoe Sterlingvor 8 Monaten

"multi-hour agent runs" is just OpenAI admitting their agents need the same amount of time as a human to do anything useful

Profilbild von FAR Labs

FAR Labsvor 8 Monaten

Solid updates for agent workflows. Multi-hour runs and networked containers address real pain points.

Profilbild von DΞV

DΞVvor 8 Monaten

hmm...I'm interested in the Skills API. great updates!

Profilbild von joey

joeyvor 8 Monaten

Server side compaction is huge!

Profilbild von Winter

Wintervor 8 Monaten

This is gonna be a huge game changer ngl. Truly crazy. And i love the standardization of Agent Skills.

Profilbild von ovo

ovovor 8 Monaten

#keep4o 🔥🔥🔥 #keep4o 🔥🔥🔥 #keep4o 🔥🔥🔥 #keep4o 🔥🔥🔥 #keep4o 🔥🔥🔥 #keep4o 🔥🔥🔥 #keep4o 🔥🔥🔥 #keep4o 🔥🔥🔥 #keep4o 🔥🔥🔥 #keep4o 🔥🔥🔥

Profilbild von Bitplanet

Bitplanetvor 8 Monaten

Server side compaction and networked containers push agents closer to persistent autonomous workflows not just stateless calls.

Profilbild von Market Frame

Market Framevor 8 Monaten

This is the missing layer for real agents: long context, real compute, and native skills in one loop.

Profilbild von Sense Noped Out

Sense Noped Outvor 8 Monaten

this context compaction possible for codex cli? I don't mind running a server...

Profilbild von Giuseppe `N3mes1s`

Giuseppe `N3mes1s`vor 8 Monaten

Is there any way to share a hosted container between multiple accounts? Is there any price attached to the hosted container?

Profilbild von Raj Chudasama

Raj Chudasamavor 8 Monaten

Wow super cool. Almost like serverless but without the complexity of serverless. If I understand this correctly.

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$NET Matthew Prince reveals running every knowledge worker's agent in containers would need 40x the world's CPUs " Really the whole hyperscale world and all of the mobile world is built on this idea of containers." "The problem with containers is, if you imagine every single knowledge worker on earth has one agent that's running for them, which seems, I mean, pretty conservative, I think most knowledge workers are going more than one agent, and you imagine those agents are all running in containers." "The problem with containers is you have to import a whole operating system and tool chain, all this stuff, just to power that." "Not even looking at GPUs, just looking at CPUs, you need 40x the number of CPUs that are produced in the world in order to just run the agents for those knowledge workers, which is, like, that's not going to work."

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