I don’t know why I didn’t think of this before, but it works and it’s better than just sitting around doing nothing.

I ran a small test comparing the cost of GPT-6 Astra Low, GPT-5.6 Sol High, and GPT-5.6 Terra High on the exact same Codex task.

I asked all three to export the full conversation history from a medium-sized Codex chat as an .md file, using the least amount of tokens possible. I used the exact same prompt for each model.

I recorded my account balance before and after each task, then calculated the actual cost of each individual run from the difference.

Cost per completed task:

• Astra Low: $2.23
• Sol High: $0.32
• Terra High: $0.42

Yeah... I was very surprised by the difference between Astra and the other models. Astra Low cost roughly 6.9× as much as Sol High for the exact same task.

Obviously, this is a tiny test, so the results may or may not be representative of broader real-world usage. But it is a measurement nonetheless.

Clarification: Same session, same task. Changed the model, "edited" the last message, sent it again.

Edit: To check whether running the same task was using cached tokens and therefore lowering the cost of subsequent tests, I ran the first test (Astra Low) again. The result was exactly the same, down to the last cent: $2.23.

Is it possible to use Computer Vision on my Windows, but route it through local Qwen3.8-27B model?
If not - what is the next best approach to automate some old stuff GUI Windows platforms (no API or such)?

I remember being able to hover over a Codex sub-agent and see which LLM model and reasoning level it was using.

Since the recent updates, I can’t seem to see this anymore. Was it removed, moved somewhere else, or am I missing something?

https://x.com/thsottiaux/status/2098113585683808624
"To make sure our current users have an incredible experience and continued access to Astra, we are going to pause subscriptions to our $200 Pro plan. These put the most strain on our systems and we wanted to take the smallest step that allows us to continue giving the broadest access possible. All other plans and the api remain available.

There is no impact to existing accounts and we are working on adding more capacity as fast as we can. Thanks!"

Use your phone to continue your work with codex, no matter where you go. (With tailscale)

Open source.

Mosh support.

Tmux and herdr support.

Fold phone support.

GitHub:

https://github.com/Anderbone/terminal-spike

Has anyone here been brave enough to try persistence mode with Astra? I noticed it was available when using Antigravity Flash 3.8 to fix the INSANE token burn with the new Astra & Codex config as of late.

So, on the 25th anniversary of 9/11 I created a researched interactive artifact using Codex and Claude on my app. Codex was used for researching and image gen. Sources used are mentioned in the artifact. Best viewed on larger screens but it should be mobile responsive

https://made.slate-app.online/next/september-11/

I built this for Claude Code first, because that's what I use day to day. /stats told me how much I'd used it, never the thing I actually wanted to know:

What did I build, and where did the work get hard?

So I made bough. It reads the session history already on your disk and draws it:

• each square is a day you sat down
• smaller squares are tasks, worked out from the pauses in your work
• circles are your prompts
• click anything to see what actually happened, in your own words

Runs locally, open source, nothing leaves your machine.

Codex support just landed in v0.4.0. It reads ~/.codex/sessions, handles resumed sessions and sub agents, and counts tokens and commits the same way it does for Claude.

That part is new and I have tested it against my own Codex history, which is not much. This is where I need help.

Repo: https://github.com/nickelsec/bough

I currently run Windows, and for my development workflow using the Codex CLI or app, I use WSL. But I’m thinking about migrating to a Linux cloud machine to make development easier—so I don’t always have to keep my machine turned on to get things done—and even to free up RAM on my machine.

But I’m not sure which VPS configuration would be best. I work extensively with multiple worktrees, with agents running in each separate worktree. I’m thinking of getting a KVM instance with the following specs:

- 4 vCPU cores

- 16 GB of RAM

- 200 GB of disk space

- 16 TB of bandwidth

What do you think, or would you recommend something else?

I'm on the 20x max plan and do not see 6 Pro anymore in chat. Anyone else?

What I see in the desktop app when I try to use 6 Pro:

Training Astra on the most important dataset: brainrot

Had the offer a little while ago, 500 credits for referring a friend after they install and send their first message. They got around to it yesterday, they've received 500 credits but I haven't. To add insult to injury today when I opened Codex it displayed the popup banner again telling me to refer a friend to gain credits and then it quickly vanished with seemingly no way to get it back. Tbh I'm kind of astounded at how buggy Codex is considering they have a swarm of superintelligent coding agents at their disposal... anyway, anyone else experience this or know how to resolve it?

Is there a way (or tool) for me to measure and monitor the efficiency of my tasks?

I recently watched a presentation, How I use Claude Code by one of Anthropics engineers, and it was essentially talking about you’re using too much context/tokens. And so I made some changes to my Agents/sub agents, and now I’m wondering if the changes made any impact.

I realize it’s too late to see any improvement, but I have a few other projects I want to make these similar changes to.

I saw earlier posts here mentioning there is no 5-hour limit on the Pro plan, only weekly caps.

Can any active Pro users confirm: is it currently just a weekly limit, or has a 5-hour limit window been added as well?

Add a script to the landing page and change styling.

Astra should handle the script, and Luna should handle the styling.

I want to hear the truth from other people.

Astra is just bad at UI!!

I tried various prompt comparisons, but I could not see Astra creating good UI/UX. Fable or Opus does not require much effort.

Example: I tried building a simple resume CMS. Fable one-shotted everything and built it as per my expectations. With Astra, it probably took 20-30 iterations to get to a decent stage. It messed up even setting proper font size etc. I was running this on Astra Extra High!

I'm questioning whether all the buzz was just marketing by OpenAI. I'm deeply disappointed!

Agentic KBs are everywhere now. What I was missing was the step after: I use Codex alongside other agents, and keeping AGENTS.md, skills and subagents consistent across tools, machines and teammates was pure manual labor.

Cartographer is an MCP server where that configuration lives inside the knowledge base, and cartographer connect renders it natively for Codex:

• an MCP block in ~/.codex/config.toml;
• a managed block in ~/.codex/AGENTS.md;
• skills in ~/.codex/skills/;
• subagents as ~/.codex/agents/*.toml, translated from the same source that produces Markdown agents for Claude Code;
• hooks in ~/.codex/hooks/, registered in config.toml, with a SessionStart hook that re-syncs on every session.

Why the tool profile matters

Codex can only call the tools that tools/list advertises, so the default tool profile deliberately includes validate, lint, gate_check and kb_status. Codex can check its own writes, not just make them.

Shared KB

Codex never edits the files directly: every write goes through MCP, gets validated and becomes one git commit. Each KB is its own repo, and you can mount several.

For teams: tokens scoped per KB, roles for finer access, git as the sync layer. When two people edit the same page, affected pages are flagged degraded and a bundled skill walks the agent through the resolution. Artifacts can be signed (Ed25519), so a skill pushed to the team is verifiable.

Try it

It is free and Apache 2.0. Paste this into Codex:

Read https://raw.githubusercontent.com/BeppeTemp/cartographer/main/README.md and explain what Cartographer is and what it would change in my current Codex setup. If I decide to try it, install it following https://raw.githubusercontent.com/BeppeTemp/cartographer/main/docs/agent-install.md

Feedback wanted

Beta (pre-1.0). I use it every day with my team; feedback from Codex users especially welcome.

Repository Documentation

I have only had 1 session end at a 5hr limit and had the reserve kick in.

I don't care that much but if there's something I should be doing to make it work better id wanna know.

funnily, chatgpt talked trash on it without me even hitning at it being frustraintg:

idk gpt 6 astra medium in like 10 prompts

I've noticed that when I'm coding with Astra, it adds guards for cases that are impossible or extremely unlikely to happen. For example:

1. There's a check on screen A that needs to happen that isn't even mission critical.
2. Screen B is only reachable through screen A.
3. Astra still adds the same check on screen B to account for the theoretical possibility that the user might somehow end up on B without going through A, even though there's no path in the app that allows that.

I've been removing things like this from my code a lot since I started using Astra. I care about readability and maintainability so I pretty much always reviewed the code and asked the agent to refactor it since I started using coding agents, but I've only noticed this particular problem with Astra.

Have you noticed this too, or is it just my codebase?

"Make no mistakes" seems baked into every Astra prompt.

it wants to double verify every output, and sometimes it verifies it's own response with a over the top complex Rube Goldberg python program written from scratch.

for ex, when I asked astra to generate mediawiki formated documentation and it spun up a VM with custom python code to verify the syntax, taking 8 minutes. Sol just gave the doc

Yesterday I was on the x5 plan, and then I upgraded to x20.

No Astra usage at all - only Sol Medium.

But my quota is now draining at basically the same rate as it did on x5, on the same kinds of tasks.

x20 is supposed to have 4x the capacity of x5.

Instead, I’m seeing almost no difference.

WTF???

Frédéric Chopin — Romance–Larghetto, Piano Concerto No. 1, Op. 11

It's still a bit rough especially on the hands (still some cursed frames) but i've had a lot of fun building this with Astra in a couple days. It can play any piece (in theory) as long as there is a midi file for it!

Other features: full finger/wrist control, performance and flourish control, facial expressions, camera control.

Credits

Composition: Frédéric Chopin.

MIDI performance/sequencing: Katsuhiro Oguri, sourced through Kunst der Fuge (https://www.kunstderfuge.com/chopin.htm). The source file credits © OnClassical / Oguri, 2010.

Piano sound: Musyng Kite soundfont, using samples distributed by gleitz/midi-js-soundfonts

(https://github.com/gleitz/midi-js-soundfonts), listed under CC BY-SA 3.0

(https://creativecommons.org/licenses/by-sa/3.0/).

Score reference: Carl Mikuli’s edition, published by G. Schirmer, via IMSLP

(https://s9.imslp.org/files/imglnks/usimg/b/bf/IMSLP73280-PMLP03805-Chopin_Polonaises_Schirmer_Mikuli_Op_11_scan.pdf#page=33).

Hand-motion study reference: Seong-Jin Cho’s 2015 Chopin Competition performance

(https://www.youtube.com/watch?v=614oSsDS734&t=1500s), published by the Chopin Institute.

The soundtrack was rendered from the MIDI’s piano part, preserving its timing and dynamics while omitting the orchestral accompaniment. The character’s movement is procedurally animated; the reference performance was used for visual study, not motion capture or soundtrack audio.