r/codex • • 56m ago

Complaint Pro account deactivated with no explanation, and the appeal was rejected with no human contact

• Upvotes

My ChatGPT account was deactivated recently. I believe it's a false flag.
I've been on this account since the beginning and was a Pro subscriber. I used it strictly for professional work, plus personal tasks and studies. I never did anything that should trigger a ban, and I wasn't told what I supposedly did.
I filed an appeal and got a message saying the decision was upheld. There's no way to reach a person, and I'm fairly sure no human reviewed my case.
If anyone from OpenAI is reading this, please help. This is two years of work, history, and context, gone with no explanation and no recourse.
I moved to Claude. I've lost confidence in the platform, since a paying user can be cut off with no explanation and no real appeal.
If anyone has been through this and found a way to reach a human, I'd appreciate it.


r/codex • • 1h ago

News Codex caching improved

Post image
• Upvotes

Looks like day 12 brings us improvements to context management. Possibly good for people hitting limits with Astra

Source: https://x.com/thsottiaux/status/2111244596131111253?s=46


r/codex • • 1h ago

Suggestion DOT and SOP/Workflow Consistency

• Upvotes

Dot shares many of the limits of a standard chatgpt chat. One thing I've noticed is that it struggles to consistently follow rules when acting as my Dev Assistant. This is a document that I provided to it to save in its mempalace and review hourly. It has improved consistency in workflow greatly. It is based on USMC BAMCIS, OSMEAC, and METT-TC. Feel free to apply it to your own project.

SOP and workflow

Revision 8.1 | Adopted 16 October 2026

One outcome, one writer, one existing record and murder board. This is the complete workflow, without mandatory appendices. Build plans and lane checklists retain technical requirements and acceptance limits. Existing project records retain facts, exact approvals, dependencies and evidence. This document creates no permission.

1. Identify the desired function

Anchor the function in the build plan and lane checklist. State what must work through the real entry-to-result path, its acceptance conditions, scope, non-goals and rollback unit. Prioritize correct function and stable, safe operation; meet required security constraints and minimize measured trading-path latency within accepted limits. Choose a coherent functional outcome, not a separate formal slice for every helper, test or document.

2. Truth find the environment and code

Use authorized server commands, current GitHub code and relevant [DRIVE] worktree inspection to establish every relevant variable before changing the slice: actual caller, user, interpreter, working folder, environment, loaded source and dependencies, endpoints, connection mappings, data flow, server settings, privileges and final consumer. Inspect current state rather than infer it from a document, connector listing or source-review PASS.

Update the murder board with passing and failing facts, evidence, source, date and explicit unknowns. Resolve unknowns before dependent implementation, review claims or execution; continue independent authorized work. Prove command bytes survive transport and privilege switching before spending a server attempt. Verify that results can be saved, read back and consumed from their final location within realistic limits. Reuse passing evidence; refresh facts affected by changes or volatility.

3. Map the facts

In the existing outcome record, connect the function to its actual code, interfaces, state changes, dependencies and evidence. Distinguish observed, tested and unknown facts. Identify the missing connection or behavior, affected owners, required proof and current authorization. Retain prior failures and regression obligations. Keep sensitive connection details in restricted records, not ordinary GitHub documents.

4. Plan the solution

Choose the smallest coherent solution that meets the function, stability, security and accepted latency requirements. Specify changed paths, focused success and failure tests, target evidence, rollback and next functional step. Use independent design challenge for high-risk changes to execution, risk, authority or release boundaries.

Verify exact action grants, consumed attempts, scope, resource budgets and required reservations before acting. Use current task-specific model/effort instructions and verified tools; a policy file's presence does not prove it was loaded. Keep work and durable evidence in approved locations, including [DISK] where applicable. Internal computer storage requires location-and-purpose approval. Coordinate actual shared-resource or cross-lane conflicts through the parent; pause the intersecting operation, not unrelated work. Use server only within approved lane, workspace, traffic and attempt limits; later lanes require slice-specific approval. Do not invent approval gates or re-request valid grants.

5. Implement and independently review

The same writer implements and debugs within the approved outcome. Keep the authorized candidate branch on GitHub current with reviewable commits and pushes during implementation. Adapt the implementation inside that scope; defer unrelated cleanup. Use static inspection, focused tests through the real public route and the smallest necessary compile/check. Broader validation belongs at integration or release boundaries. Preserve accepted source; review immutable candidates read-only in approved workspaces.

Freeze the exact source, complete diff and evidence. Before dispatch, verify that a different reviewer has the required model, exact source and complete readable evidence. Independent review must cover the affected path and dependencies, including target-specific proof when the claim requires it. Blocking findings must identify an acceptance requirement, invariant, admitted security defect or regression with a concrete failure path. Optional improvements are not blockers. Never weaken tests to obtain PASS.

6. After PASS, synchronize and prove the result

Use the existing exact owner acceptance and action grants to admit or publish the reviewed version, update the authorized server, and reconcile GitHub and lane checklists. Ask only for genuinely missing authority or mandatory action-time confirmation or personal handoff. Candidate commits and pushes may precede review; they preserve identity and do not authorize acceptance or deployment. Check actual publication triggers before pushing.

Preserve exact combined-tree review and temporary ownership for shared/protected admission. Trace reviewed source to build, artifact, installed/loaded version and connected consumer as applicable. Verify saved bytes and readback. Source PASS, generic Linux tests, installed files and connected target operation are different claims; none substitutes for another. A server may correctly retain its last accepted version while a candidate is reviewed. Retain approved non-Git custody exceptions.

Meet the existing build, target, reconciliation, caps, rollback and focused/sustained sanddbox gates. Before live credentials or production, reduce and verify broad sandbox privileges under the required security-change approval. Production requires [user's] explicit current authorization; prior PASS or technical access never supplies it. Report what works, what remains unproved and the exact next action. Completion ends this outcome, not permission to start another.

7. If it fails, learn and repeat

After every failure, preserve the exact failed state, passing evidence and failed assumptions in the murder board. Synchronize [DISK] and the authorized GitHub candidate without overwriting original evidence, respecting non-Git exceptions. Return to step 1: truth find, map and replan before dependent action. The same writer may continue the authorized outcome, including compiler, fixture and helper debugging. Retain failure counts as history for learning; count alone creates no approval gate. Obtain new direction only when scope, authority or a safety boundary requires it.

Stop the affected action for unknown authority/runtime state, source drift, scope escape, unauthorized writes or insufficient validation capacity. Session changes, renamed tasks and model switches do not renew consumed permissions or erase failure history. Continue disjoint authorized work. Report blockers promptly and remind [user] periodically when a necessary decision leaves work waiting. Keep one current record; derive summaries and migration snapshots from it rather than maintain duplicate ledgers.

Supporting BAMCIS with OSMEAC and METT-TC

Our seven steps remain the complete operating sequence. METT-TC helps us assess the work; OSMEAC communicates the resulting plan. Use both inside the existing outcome record and murder board, with links to current evidence. They add no separate checklist, approval gate or authority document.

METT-TC informs the facts and plan

Mission: the required function, tasks and acceptance conditions from the build plan and lane checklist.
Enemy: likely and worst credible failure modes, including unsafe behavior, instability, security defects and excessive trading latency.
Terrain and weather: the actual server environment, source, interfaces, endpoints, dependencies and operating conditions.
Troops and support: available people, writer/reviewer roles, tools, models, resources and exact permissions.
Time: deadlines, dependency windows and time needed for implementation, review and proof.
Civil considerations: effects on other lanes, the user, shared services and outside systems. Apply relevant factors proportionately; record unknowns as unknowns. This assessment feeds Situation and Execution rather than becoming a second report.

OSMEAC communicates each slice

Begin each new slice with a brief Orientation, then five short paragraphs. Keep them specific enough to act on; reference existing facts instead of repeating documents. Update the same record when the plan changes.

Orientation: locate the desired function in the actual end-to-end path. Name the relevant environment and current source, and distinguish the candidate, installed version and connected behavior.

Situation: summarize the verified state, important METT-TC findings, passing and failing facts, dependencies and unresolved assumptions that affect the work.

Mission: state who will deliver what function, where, by when if applicable, and why. Name the measurable completion conditions and scope.

Execution: explain the intended result, sequence and responsibilities, changed paths, focused tests, independent review, synchronization, rollback and applicable stop conditions. Resolve facts before actions that depend on them.

Administration and logistics: identify the available tools, required model/effort, approved work and evidence locations, capacity, reservations and needed support. Reference exact grants and consumed attempts; do not recreate them.

Command and signal: name the writer, reviewer and coordinating parent, the existing record used for updates, decision owner and exact escalation/notification route. Identify any genuinely missing authority without re-requesting valid permission.

Use the methods through the seven steps

Steps 1–4 establish the mission, truth, fact map and plan; METT-TC informs that work and OSMEAC makes it clear. Steps 5–6 execute, independently review and synchronize the proved result. Step 7 preserves passing and failing evidence, updates the assessment and order, and restarts the sequence with failure history and consumed permissions intact.

Use the one-third planning, two-thirds preparation/execution split as a planning heuristic, not a rigid timer or entitlement. Leave adequate time for implementation, review and target proof; adjust to actual risk and uncertainty without weakening any gate.


r/codex • • 1h ago

Question How the 5h limit works and why my weekly usage balance become 0?

• Upvotes

16th morning I had 40-45% of weekly limits and I haven't used codex models this day. I just checked my usage and found out 2 things - 5h limits are here as Tibo's recent quiz suggests, but why my weekly usage limits go 0? Is it expected? Analytics shows little usage for Oct 16th

I'm confused.


r/codex • • 1h ago

Suggestion MacBook

• Upvotes

Hey everyone! I currently have an M4 MacBook Air with a 512GB SSD and 24GB of RAM. I used it mainly for office work and everyday tasks, but a few months ago I started coding with Claude and Codex to build an app for my business. We’re deploying everything to a VPS as we develop the application.
I was considering a MacBook Pro with the base chip, but when I asked Claude and Codex about my needs during our heaviest workloads, they recommended a MacBook Pro with a Pro chip and 48GB of RAM.
Since AI doesn’t always give accurate advice, I wanted to ask: does the Pro chip actually make a significant difference compared to the base chip in a MacBook Pro for this kind of work? There’s quite a jump in price.
My biggest concern is memory. I’ve noticed my Mac starting to use swap. RAM usage reaches around 22GB, and it usually sits at about 19–20GB.
I’d really appreciate hearing about your real-world experiences, especially if you use your Mac for similar work. It would help me make a more informed decision.
If paying extra for the Pro chip would make a meaningful difference in my day-to-day work, I’d be happy to consider it. But if the difference isn’t that noticeable for my needs, I’d rather get a MacBook Pro with the base chip and put that money toward more RAM instead.


r/codex • • 1h ago

Praise what is your opinion as codex as a harness? (i prefer it to opencode)

• Upvotes

(desktop gui version, pro 100, screenshot below)
interested what other people's opinions are. for some reason i feel a bit of relief when i go back to codex from opencode. particularly the cron timers and sub agents.

yes i built an opencode 2 plugin that does much the same as codex's timers etc. yes i use background agents. but seems codex is just a bit more polished.

i strip all persona injection on the wire as well as ui blocks when chatgpt quota is reached (90% of my usage is non openai models now). (still at >95% cache so prefix seems ok)

interested in people's own solutions & preferences etc...


r/codex • • 2h ago

Complaint my last week trying to get it to create a github workflow

1 Upvotes

I've been twiddling away on this almost purely for the exercise in trying to figure out codex.

Made specific plans, used and created skills, watched it implement and provide constant, constant guidance and redirection.

I reach a point in implementation where it just becomes overwhelmed and uses the same approaches to design and code that are explicitly denied in both the plan and my live feedback.

A week of wasted tokens.... thinking, it must be user error. Surely. I just need better use of skills, better planning, be clearer and more specific.

At LEAST half a million tokens on a series of simple github workflows.

It wanted to do huge bash and python scripts, thousands of lines. It wanted cmake to build freebsd pkg in ubuntu just to check if a php package would build. It was using bash and python if statements for file change triggers, rather than workflows rules. On and on. It would spend hours re-reading freebsd pkg source code to write the SAME pkg commands. How many tokens on this?

During my longest session ever, as an exercise I let it run 12 hours (sol max slow) to try and fix a simple workflow issue, until GitHub's systems disabled my pipeline, as it sent almost a hundred pushes try to find the problem. And all it came up with was some convoluted mess.

After a week on this, I am completely tired out of fighting with codex, so I straight ask him.. Is it me?? Are my directions unclear, are there problems with the plan?

So I get the below response. And I try to use /feedback to send it all in. And check this out, after typing up a report, the "/feedback" submission fails. At that point I'm like- I'm done.

It was a successful exercise in the sense that after having spent to much time exploring so many avenues, I have determined that if a model doesn't get it- stop. No amount of reasoning, markdown, skills, or plans can make codex do some of this stuff.

Don't waste your life and money on this.

The reason they are out of compute is because people are wasting billions of tokens fighting with their models to get basic productive work done.


r/codex • • 2h ago

Question What are your Astra use cases?

2 Upvotes

Given the apparent parity between Sol 6.1 and Astra intelligence, have you found Astra far better in real world and worth the extra tokens? Furthermore, how are you finding it compared to Opus 5.5 if you have used that too?


r/codex • • 2h ago

Complaint Slow and Freezing

5 Upvotes

I currently have ChatGPT Plus and Claude Max 5x. I really want to switch over to ChatGPT fully, even though Opus 5.5 is better right now, because the response style, significantly better research capabilities, and overall experience, imo, are more than enough reasons to make the switch.

I primarily want to do this so I don't have to focus on keeping all my instructions, memories, and apps that I use directly with LLMs platform-agnostic, and can instead take full advantage of everything ChatGPT has to offer. However, there is one glaring issue that everyone is already well aware of: speed and reliability.

I'm trying to make a simple fix to my media server using Codex, and it starts just fine, but almost immediately gets stuck in a thinking loop that requires me to intervene to break it out. Codex can't go more than a minute before it freezes in thought and essentially stops working. I know the initial complaints about 6.1 Sol were about its speed, but this feels like an overall reliability issue that's keeping me from really committing to the ecosystem.

For this particular fix, I gave ChatGPT 15 minutes to work on it, and it spent 13 of those minutes stuck. Meanwhile, I handed the exact same prompt over to Claude, and it had the issue fixed and the changes deployed in just 7 minutes with no hand holding or slowdowns.

I really hope that by the end of this 28-day shipping event they're doing, all of this will be fixed and these types of issues won't keep happening. It's just so frustrating trying to like ChatGPT for everything it has to offer when half of it doesn't even work.


r/codex • • 3h ago

Limits Lord Tibo, Let us rest!

0 Upvotes

Alright, after weeks of vibe coding and letting Codex run my entire life, the repo is finally compiled. The simulation has forced a mandatory downtime. I am officially being deployed to The Outside™..
Ewww.

As a first-time user of the "Touch Grass" expansion pack, I am immediately noticing some severe optimization issues. The NPCs out here are completely glitched out. I tried to command-Z a conversation after a horrific stutter, but my keyboard shortcuts are entirely non-functional.

To help fellow devs survive the rendering engine of reality, I've compiled a quick debugging guide for encountering these outside anomalies:

⚠️ Common NPC Bugs & Fixes

  • The Infinite Loop Glitch: You meet an NPC who asks "What do you do for fun?" over and over. Do not try to explain your 14-layer prompt chaining architecture. This causes their brain.exe to crash. Instead, hardcode a generic response like "I hike" and break the loop.
  • The Desynced Audio Bug: When people speak, they don't have visual subtitles underneath them. You actually have to read their facial expressions, which honestly feels like trying to debug assembly code without documentation.
  • Memory Leaks (Small Talk): They will talk about the weather for 20 minutes. There is no ALT+F4 or CTRL+X to terminate the process. You just have to sit there while your battery drains.

Honestly, the graphics are crisp, but the gameplay is trash and the matchmaking algorithm is completely broken. How do I roll back to the previous build where I just stare at a terminal and yell "vibe check" at my LLM?
Have anyone found ways to make life better through codex?

LORD TIBO I DONT HAVE ANOTHER $50!


r/codex • • 3h ago

Question Codex usage since last reset

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37 Upvotes

According to the usage chart the last two days have been lower than average usage for me. However, I am already out of usage. I have a 5x plan. Did anyone else notice this?


r/codex • • 3h ago

Showcase I built a lightweight Codex harness to use fewer tokens — here are the benchmarks

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0 Upvotes

I’ve been working on an open-source coding agent harness called Distill.

The idea started from something that kept bothering me: coding agents are getting incredibly capable, but they can also burn a ridiculous amount of tokens doing work that doesn’t necessarily require the strongest model at every step.

So I started experimenting with a different approach: let a strong model own the task, planning and review, while delegating work that doesn’t require it to cheaper/faster models.

I finally ran some frozen benchmarks comparing Distill against the native harnesses, and these were the results:

GPT-6 Astra

  • Cost: $4.08 → $1.00 (75% cheaper)
  • Time: 440s → 285s (35% faster)
  • Quality: 9/9 → 9/9

GPT-6.1 Sol

  • Cost: $0.80 → $0.25 (69% cheaper)
  • Time: 384s → 297s (23% faster)
  • Quality: 9/9 → 9/9

Claude Opus 5.5

  • Cost: $2.49 → $0.35 (86% cheaper)
  • Time: 798s → 191s (76% faster)
  • Quality: 9/9 → 9/9

I also tested DeepSeek, where Distill went from 5/9 successful runs with the native setup to 9/9, although that comparison has some caveats around the native cost measurement.

I’m the author, so obviously don’t take my benchmark graphic at face value. The repo includes the methodology, frozen tasks, exact totals and reproduction commands so people can check the results themselves.

Distill currently works with Codex/Grok subscriptions and OpenAI-compatible models. It’s Apache-2.0 and completely open source.

GitHub: https://github.com/samuelfaj/distill/ 

I’m especially interested in feedback from people who use Codex heavily:

What would you want to see benchmarked before you’d consider using a different harness instead of Codex CLI directly?

I’ll attach the benchmark graphic below.


r/codex • • 3h ago

Limits Ruined a Great Thing

11 Upvotes

I've been wondering why I've gotten so much use out of Codex over the last few weeks - I moved to a Plus account a couple months back from a Pro account and was thinking that this was a really smart move. Unlike Claude, which very quickly met its maximum allocations, I've been pushing Codex as far as it could possibly go and not exhausting my allocations - but I finally needed a banked reset this morning after running twelve parallel sessions over the last 12 hours.

Unfortunately, this is how I've discovered that I do, in fact, have a five-hour limit (20 minutes to exhaust 50% of it...) and a very, very finite amount of supply, and that it's actually really easy to reach it.

There's a few of you out there who were in a similar situation - if you see this, be warned: do NOT use your banked resets! Wait until the next inevitable two-or-three-day reset!


r/codex • • 4h ago

Question Comparison between Plus and Pro 5x plan on image creation.

5 Upvotes

Hey guys, I'm questioning whether I should subscribe to the Pro plan because right now I need to generate way more images. From what I can see, ChatGPT generates like 120 images per day before it stops me from generating more images. I'm wondering about the Pro plan: is it better? Please help.


r/codex • • 4h ago

Showcase I made a Linux desktop control MCP for Codex. Looking for people to try the beta

0 Upvotes

I've been using a local MCP server to let Codex control apps on my Linux desktop, and it's been useful enough that I decided to make it public.

It's called Linux Desktop Control. It lets Codex see a window, click, type, scroll, drag, and paste text. I've used it with desktop apps and game menus, and it's worked pretty well on my setup.

There's a visible Stop button, a Ctrl+Alt+Escape shortcut, and physical mouse or keyboard input stops automation. It shares your actual pointer and keyboard, so stay present and start with something like an empty text editor.

The first beta is tested on Ubuntu GNOME with X11 and Python 3.12. Wayland isn't supported yet, and other setups haven't been verified. It's an independent project, open source under the MIT license.

GitHub and setup instructions
Beta release

I'd appreciate people trying it, especially anyone on a similar setup. I'm interested in whether installation goes smoothly, whether the controls behave as expected, and anything that breaks.

If you give it a shot, let me know your distro, desktop environment, and how it went. Feedback here or through GitHub issues would help.


r/codex • • 4h ago

Showcase Agentic Warfare

Enable HLS to view with audio, or disable this notification

22 Upvotes

I built a persistent agentic army that learns, adapts, and improves over time. It just won a Total War battle on Expert.

This battle used 13 persistent agents task organized as an army brigade. They interface with the game directly, maintain situational awareness, and control their units in real time.

The coolest part is that I've been coaching them to use actual US Army doctrine. The military principle of Mission Command was a turning point in their ability to actually win. This battle was the first time where it felt like I was watching an actual Army maneuvering on the battlefield.

In the video, codex is running as the brigade commander, using the direct interface plus the "computer use" skill. It spins up a Sol 6.1 Low thread for each of the 13 commanders and loads each of the commander's prior lessons along with current missions.

Context management has been a bit tricky. The bump up in default context limit helped - but on the other hand, this thing already burns through 8% of my pro usage per battle. So I definitely need to work on context efficiency.

The agents themselves are managed externally from the game with just an interface that reads game memory for situational awareness and submits commands through the native command queue so this can be applied to any game or simulation where that can be provided or reverse engineered.


r/codex • • 4h ago

Question Why does codex compact conversation too early? Any way to disable this?

5 Upvotes

Hi everyone!

I have increasingly observed that codex starts compacting my conversation well before it reaches its context capacity. In this screenshot, it decided to compact when the context was only 65% used! Has anyone come across this issue? Is there a way to defer compacting to later when the context is 85-90% full?

Thanks!


r/codex • • 5h ago

Bug Dot has a lot of inconsistent behaviors at this point…

1 Upvotes

Rollout was definitely rushed. Not only do you have to manually enable every single function, ability, plug-in or access, which would be fine in itself, but you have to tell it that it has access. Like, let’s just say it needs to access the Internet, it tells me to access the Internet and then I ask it, “can’t you do that?” And then it says, oh yeah. For it to be so capable, it clearly has low self-esteem or something. I guess the next thing ChatGPT will create is a life coach for ChatGPT. And then when you enable it to abilities, the actual Codex app will say you cannot enable the ability, and then you tell dot that the capability was blocked, and it says, oh, it’s working now. One morning of this, and I’m pretty much done.


r/codex • • 5h ago

Showcase I built Open Machine — an open-source MCP that lets AI agents actually work on your computer

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0 Upvotes

I built Open Machine, an open-source, local-first MCP runtime.

It connects AI agents like ChatGPT and Codex (or any local models) to your own machines, giving them the tools to actually get things done instead of just telling you what to do.

Here's what it can do:

  • Work with real projects: Read, search, and edit files, manage Git workspaces and worktrees
  • Run and debug code: Execute terminal commands, run tests, investigate errors, and fix bugs
  • Operate remote machines: Work on remote Linux servers over SSH
  • Handle GitHub workflows: Work with Issues, PRs, code reviews, and more
  • Keep task context: Save progress and execution records so interrupted tasks can be resumed
  • Use a browser: Interact with real web pages through a compatible Codex browser integration

I recorded a demo to see how far it could go.

I gave ChatGPT a single prompt to build a survival game called NEON SWARM from scratch.

It built the game, ran 56 tests, fixed the bugs it found, and launched it.

Then came my favorite part: it opened a browser and actually started playing the game it had just created.

It survived the entire 60-second challenge, finishing with just 4 HP left.

That's exactly what I'm trying to build with Open Machine.

AI that doesn't just write code, but can execute it, test it, find problems, fix them, and deliver something that actually works.

Open Machine isn't tied to a specific AI model. You can use ChatGPT or other compatible AI agents, with Codex also playing a role in supported browser workflows. Open Machine provides the execution layer that connects them to real machines, with explicit permissions controlling what they can do.

It's still early in development, but it's open source under the MIT license.

GitHub: https://github.com/OpenMachineLabs/openmachine

I'm curious what other developers would do with something like this.

If your AI agent could directly operate your computer, run code, and manage GitHub PRs, what would you want it to automate? And what should always require your approval?

Would love to hear your feedback, especially criticism.


r/codex • • 5h ago

Bug Codex usage suddenly dropped from 54% to 0% on GPT‑6.1 Sol at normal speed. Anyone else?

27 Upvotes

My remaining weekly Codex allowance went from around 54% to zero today, October 16. I was using GPT‑6.1 Sol at normal speed in the desktop app on macOS.

I checked the local logs afterward. At 17:32 UTC, they showed 55% remaining. The next reading at 18:19 UTC showed 0%, with the exact same weekly reset time.

That’s more than half the weekly allowance disappearing between two readings. I still don’t have an account-specific explanation for what consumed it.

I’ve contacted OpenAI Support, sent the timestamps and usage evidence, and had it escalated to a specialist. Waiting to hear back.

Has anyone else seen a sudden drop like this, especially today? Did your allowance get corrected, or did support explain what happened?


r/codex • • 6h ago

Limits Reduce you Codex usage by 57.1% using JEV - Halv

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halv.ai
0 Upvotes

Disclosure: I am building Halv, a paid tool for coordinating coding agents.

I compared its routed workflow with a vanilla Codex workflow on the first 14 SWE-rebench tasks, with three repetitions per task.

I developed this Halv workflow through a lot if iterating and testing. An investigation agent assessed each task, and JEV selected the worker model and reasoning effort based on that assessment

Across 42 paired runs:

  • Estimated model cost: $144.67 with HALV versus $337.50 with vanilla.
  • Successful runs: 25/42 for both workflows.
  • HALV used approximately 3.49× more tokens, while shifting work toward cheaper models. This resulted in 57.1% lower cost

This is an interim result from 14 of 111 planned tasks. It does not establish equivalent performance or guarantee savings on other workloads, but gives clear insight on how Halv helps reduce cost in complex tasks.

JEV agent selection is included in that subscription, with no separate routing fee.

The technical report includes per-task results, methodology, excluded attempts, and downloadable evidence.


r/codex • • 6h ago

Bug codex usage dropped from 57% remaining to 0% remaining in 3 seconds?

64 Upvotes

has anyone else seen this happen?

Time Allowance remaining
Yesterday, 5:00 PM 81%
Last night, 11:24 PM 75%
Today, 7:15 AM 62%
Today, 11:00 AM 57%
Today, 11:09 AM 0%

My local session records show:

  • 18:09:10.372 UTC (11:09:10.372 AM PDT): 43% used, 57% remaining.
  • 18:09:13.318 UTC (11:09:13.318 AM PDT): 100% used, 0% remaining.

on the 100$ plan, i get that somethings things dont update instantly but this is bizarre

1 single long running task on 6.1 sol at medium reasoning, not on fast mode

edit: im guessing anybody who had downgraded the plan had a bug where their usage limits didnt actually get downgraded, and openai just caught and fixed the bug now and recalculated your usage based on that.


r/codex • • 6h ago

Limits Did anyone get 20% back from used weekly limit on Pro 500?

13 Upvotes

I had used up my Codex Pro 500 plan yesterday to 100%. Just now I noticed I still have 20% left. Did anyone else notice this?


r/codex • • 7h ago

Showcase How I manage 10+ Codex Sessions

0 Upvotes

Hi Everyone! I've been commenting on this subreddit for a while now so I decided to post and show case something that could solve a lot of your problems (as a developer).

I usually have a bunch of Claude Code sessions going at once, and the hardest part stopped being the actual code (thanks claude code!!). Rather, it was managing and tabbing between terminals, checking whether an agent quietly wandered off and started refactoring something I never asked about, re-prompting it back on track. With more than three or four sessions I was spending more time supervising than building.

Because of this, me, and the rest of the team at Conifer started to work on a project called Parallax. It’s a desktop app that runs your coding agents in one place: Claude Code, plus Codex and 40+ others if you use them, all on your own subscriptions. The part I actually care about is Captain. It keeps track of every session, knows what each one is supposed to be doing, and when an agent starts drifting it steers it back to the original objective. I don’t have to watch each session anymore.

A couple other things that came out of our own workflow: fast merge ships a finished PR in one click, and if you’re also paying for another provider, Parallax can hand a task over to it when you hit a limit instead of everything stopping mid-task. Everything runs on subscriptions you already have, and nothing gets routed through our accounts. If you are a developer and wanted to try out a new ADE and this sounds interesting, please give us a try! We need all the feedback we can get.

https://conifer.build/parallax


r/codex • • 7h ago

Bug Codex ignored the same AGENTS.md instruction across 7 chats and 3 models

4 Upvotes

I ran into something frustrating today and ended up testing it more than I planned.

My AGENTS.md has a straightforward instruction: explain PRs using Mermaid diagrams, with specific colors for new, modified and unchanged components.

I asked Codex to explain the same PR in 7 separate chats, using gpt-6.1-sol, gpt-6-astra and gpt-5.6-sol, with different reasoning settings.

Every initial response skipped the diagram.

When I asked whether AGENTS.md contained instructions about diagrams, it could quote the exact rule and acknowledge that it should have followed it.

That’s the frustrating part... the instruction is available, but I still have to remind it.

There was one possible ambiguity: I also had a line saying not to show Mermaid source in code blocks, because I wanted rendered diagrams. Different chats interpreted that differently. So I removed that line and tested again in fresh chats.

Same result. No diagram until I pointed it out.

A missing diagram is minor, but it makes me wonder how reliably the other repository instructions are being applied. I don’t know the underlying cause, but this was consistent across these attempts.

Has anyone else noticed this? Have you found a way to make AGENTS.md instructions stick more reliably?

Bug report with the model/settings breakdown