When I have 100% weekly limits, 5hr limit gives me 16% of weekly limit usage. Now that I have 2% weekly limit, will 100% of my 5 hour limit give me 2% of weekly usage or 15?

This is soo confusing

Been getting a lot of “selected model is at capacity” messages. Leads me to believe OpenAI is making more network space for Astra and a release should be expected in the next 1-2 days. Really hoping Astra kills it on coding and engineering benchmarks. Any predictions on SWE test scores?

My last codex conversation that was on 5.4 mini finally was forced to luna...

Cost more tokens, takes longer to complete a turn, constantly says

" i did this many of the requests, do you want me to keep going and finish?"

Always takes about 3-4 turns after it finishes to correct the new errors introduced compared to 5.4 mini.

For example, lets say we tried X method before and it was bad and broke something, or it straight up didn't work. Without having to manually tell the agent we did X before and it was a failure, how can i make it so agents automatically know these things? is there some kind of system for this i can install?

I just realized I can get a few months free of, I guess “grok super”? Can this be used in the same project as what codex is working in? Anyone with experience in this?

Remember the old days when you could ask GPT for a change, and it would just search your files and do it? No overengineering, no overthinking.

Now it thinks for 30 seconds → runs 10 commands → thinks another 30 seconds → creates 1–3 QA files and a bunch of SHAs → changes 3–4 lines of code → double-checks everything → oops, compacting → starts reasoning again with the latest request just to double-check it all over again.

I only use social media when Ive used up all my GPT usage allowance.

What’s your codex confession?

I signed up for a second Plus subscription ($20/mo) and the new account doesn't have a 5 hour usage limit. Is this a known bug? An A/B test by OAI? Something else?

Screenshots are of the usage page of both my paid accounts to show the difference.

Looks like Astra is coming soon because Sol is once again making messes while being "at capability" for half of the day.

To be honest, most of the LLM I've tried at this point are more than good enough. Opus, Sol, DeepSeek whatever, all of them feel great enough to me, and I think any more intelligence than this is just doomsday countdown for humanity.

What I want now is just a stable provider that serve the same level of intelligence fairly stably throughout the months so I can actually get the work done without constant issues.

But these people, Anthropic or OpenAI whatever, I guess they are researchers at heart and just too dedicated to be recorded in history as the inventor of the machine that wiped out humanity, to care about end-user service quality.

Codex has a new mandatory update every 20 hours that change absolutely nothing. And the models' intelligence just keep on doing the same routine diminishing return every cycle (and we're at the worst of another cycle now I guess)

Anthropic's business is run by people who think $200+10% VAT = $222.22222, and customer support is done by if(request) reject()

A lot of people still complain about AGI capability but for the this is more than smart enough. What I want is no longer more intelligence but service stability and transparency.

Not sure how the lawsuits against their bad business practices are going, but for now I just wish the US government would throw another ridiculous ban on them releasing new models, so I can work with a reliable model for a little bit longer.

I had a pretty insane problem with Codex today.

I was doing a large review with multi-agent mode. I had intentionally created 61 subagents, which I know is already a lot, but that part was expected.

Then something broke. One of the reviewing agents started creating more agents, and those agents created even more agents.

In the end, the thread showed 469 subagents. So more than 400 of them came from this loop.

The weirdest part is that Codex had already given me the final answer, but there were still 80+ agents running in the background. I tried stopping them, but while some were being stopped, others kept appearing. It repeatedly hit the 101 active-agent limit.

I eventually had to close Codex and kill it through Task Manager.

This burned more than half of my weekly quota, and I’m on the 20x plan. About 20% disappeared just while I was trying to stop the agents.

Honestly, watching new agents appear while I was cancelling the old ones was kind of ridiculous.

I reported it here:

https://github.com/openai/codex/issues/42032

Has anyone else had this happen? There really needs to be a “stop everything in this thread” button that also kills every child agent.

Ps: Yes, this post was redacted with Chat GPT. English is not my first language.

11:51

If Codex feels noticeably worse today, it might be worth avoiding critical tasks for a few hours. Some users are reporting lower-quality responses and possible routing to smaller models, even when manually selecting a different model.

It may not be affecting everyone, but if you notice clear degradation, I’d avoid burning quota or trusting it with important changes until things stabilize.

Hi, I'm thinking of getting the plus plan of chatgpt because of limited tokens on codex and it gets finished pretty quickly. I mostly use it for learning technologies and getting my code reviewed for every task. It helps to prepare for interviews and learning some industry standard practices as well. The problem is that codex tokens finish up pretty quickly ( monthly limit got used up in 1 day ) and it's getting difficult to continue with my self created curriculum.

Is the plus plan worth it or should I consider some other options like cursor, claude or any other good open source ide's ?

Hi there, I used the default codex companion, it basically did nothing but show what it's thinking and pretty much nothing.

It was annoying for me as it took space and didn't actually contribute to anything.

Am I using them wrong? What's your take?

Just got this message while trying to use GPT Sol 5.6, not sure what's going on. Seeing this for the first time.

I always run Codex and other AI harnesses with bypassed permissions, and I suspect most people reading this do too. While this works great, there's always a chance that harnesses expose sensitive data or do something they shouldn't. There's one way to make this safe by construction: put everything inside a sandbox: the harness (including all its tool calls), and all stdio mcp servers.

The idea is one sentence: the entire execution goes in the box, the harness, its state, its tools, and your repo. The box has no network route and holds no credential.

Try it now: cd your/src/folder && uv tool install aisan && aisan codex

.. with network access (but without credentials): aisan codex --net

.. and with userbinds:

aisan codex --binds aisan-userbinds.toml

How model calls still work: The client inside sees a placeholder token and a loopback address. A proxy on the host checks each request against an allowlist, throws the placeholder away, and attaches the real credential to traffic the box never sees. So the box can talk to Codex and to nothing else, and the token is never inside it to steal in the first place. Same for Claude and opencode; there is also a vertexai backend for unattended API jobs.

What that looks like from inside:

• cat ~/.claude/.credentials.json : "no such file". Never mounted.
• ls ~/.ssh gives you "no such file". $HOME is a tmpfs.
• curl https://anything does not even resolve. The box gets its own network namespace with no route off the machine, so there is no resolver to ask.
• Codex answers you anyway, with permissions bypassed, because that is the only mode it runs in here.

Honest limits:

• Linux only for now, with bubblewrap and user namespaces underneath.
• Pre-1.0. The API will move.

MIT, uv tool install aisan, repo: https://github.com/schuay/aisan

Happy to answer anything about the bind model or the proxies.

I'm using two Codex subscriptions because I really don't need a Pro one, but sometimes I feel I need a third subscription. My question is: on the business plan, if I buy two seats, will I have more usage in Codex than two plus subscriptions? I was wondering because this might fix my weekly limit quota if that's the case.

I'm working with Sol 5.6 on a project and everything really worked great, no complaints, fast, smart, caught deep architecture problems, planning and execution - everything is perfect.

In the last 24 hours it's simply unbearable!

Disconnections, hallucinations, loops, just a waste of time for both me and my balance!

The highlight was that I gave a detailed task for the UI that is mainly based on a number of UI fixes, in the past it would have taken a few minutes. I was wrong to fall asleep.

I woke up after 8 hours and it's still working!

I look at the code and I see that he edited the file over 200 times while I was sleeping and went into a loop!

Why do I as a customer have to suffer every time a new module comes out, if you don't have a proper infrastructure, don't market your product!

The AI ​​revolution is great! But the service and SLA level are only getting worse!

It's nice that the weekly balance is refreshed, but it doesn't help if you're training the new modules on the same infrastructure while customers are working!

Thinking of moving my teams from Plus/standard to Pro/Premium. The 5h limit is not a life.

Do any of you guys have an agent that is monitoring a browser tab controlling it and bringing live info from that browser to slack. It is regarding a referral platform. There is so much data that the agent has the knowledge to structure appropriately and prioritize (it does it in codex) but unsure how to connect my ChatGPT agent inside of slack. I have zero technical background and it’s a miracle it works at all for the tasks my team gives it. Thank you in advance for your time and expertise.

I've had a plus subscription through Google Play for a while. Contemplating moving up to pro temporarily to spend lots of time working on a project.

I'm guessing moving up and down is seamless, other than needing to wait for a month after the last renewal to downgrade?

Also I'm guessing there's no benefit cancelling Google Play and going directly through ChatGPT website?

One thing I notice is that 20x usage is £200 whereas it's listed as $200 which equates to about £150. Is there perhaps a way to pay in USD to save money?

Tenho utilizando SOL high como orquestrador, Luna medium para research e Luna high para código. Terra xhigh para review.

Recentemente, tenho notado que logo após a delegação para Luna high, o limite baixa em torno de 4% / 5h window logo após a delegação. Isso é possível? Será algo relacionado a envio de contexto?

No meu AGENTS.md eu oriento a delegar apenas o contexto necessário. Estou esquecendo de alguma outra orientação para o modelo?

I recently cancelled my ChatGPT subscription through the App Store because I want to move to the Business plan. I am still within my existing subscription period, so ChatGPT itself continues to work normally.
However, since cancelling, Siri no longer seems connected to my ChatGPT account. Whenever I ask Siri to use ChatGPT, it tells me I need to log into my ChatGPT account.
This has been happening consistently for a few days.
What makes it stranger is that my partner does not currently have a paid ChatGPT subscription, yet ChatGPT through Siri works perfectly for her.
I am wondering whether cancelling an App Store subscription somehow breaks the connection between ChatGPT and Apple Intelligence, or whether this is simply a bug

The project is open source under the MIT License.

Prebuilt downloads for macOS, Windows, and Linux are available on GitHub:

https://github.com/chen-985211/cleancode

Another pretty awesome feature added.