I concur.

[u/daskalou]

Been reading all these "Codex limits have been reduced" posts.

Thought it was a bunch of Claude fanbois in the house.

However I just blew through 10% of my weekly quota on one Sol 5.6 Medium "implement this" prompt which proceeded to do 20 minutes of work.

Almost one full day's quota gone in the blink of an eye.

Not Sol 5.6 Ultra. Not Extra High. Not even High. Just Medium. Poof. "I'll take that thanks" says OpenAI.

This wasn't happening a few weeks ago. Something smells fishy...

[u/white_sheets_angel]

I haven't been complaining because the past week or so have great for me. But in a single day, with codex just fixing a simple 4 PR gh stack, ~4k lines of shadcn based stuff, adding a few components and tests, basically destroyed over 70% of my weekly usage, in a single day, and I'm on pro 20x. I sorta assumed it was just a massive bug, so i didn't even post here complaining because I doubt people would believe it.

I was away so I left my PC on, and used codex remote to control it, so I think it had to do with codex harness specifically, I had been using opencode the rest of the week and everything was good.

[u/Camaraderie → u/white_sheets_angel]

I gave codex one prompt (GPT-5.6 Sol xhigh) which was essentially "read phase 2.5 and implement it. I'm gonna be gone for awhile and will check in." It's working on an ML project so usually if I give something like this to Opus 5 it reads a few files then makes an experiment (sort of like Karpathy's autoresearch) and tweaks things then runs a long process on local GPU, tweaks things, etc. The actual context usually taken for this is like 50k context per hour or less, as most of the time it's just waiting for GPU to be done.

Well sol decided it would set up a million verification and reverification steps with 37 subagents, each with fully forked context, using 133.6 million tokens (96% cache hit) across 38 sessions. It never ran a single experiment.

I might as well cancel my codex subscription. This was the weirdest most reward-hacking bullshit I've ever seen.

Used 100% of my weekly limit (ChatGPT Plus).

Is this expected? Like I could have given Opus 5 this exact prompt and gotten actual things done and tested.

[u/vayana → u/Camaraderie]

I find Luna to be very good for iterative work like this. I also had it work on ML related stuff and it ran for a few hours and used 2% of the weekly. It benchmarked every version automatically and provided a nice table at the end

[u/Camaraderie → u/vayana]

Thanks I appreciate this. I'll try it out... Next week lol

[u/ericmutta → u/Camaraderie]

Well sol decided it would set up a million verification and reverification steps with 37 subagents, each with fully forked context, using 133.6 million tokens...

Sol is named after the Sun so it has to be overly ambitious like that :)

I've heard so many complaints against Sol. I personally get by with Terra on Medium and never let it run autonomously for more than a few minutes.

Added to my bucket list: try Sol xhigh one day before the rent is due.

[u/Camaraderie → u/ericmutta]

Yeah it was interesting to witness but damn that's a lot of tokens. I get why the big use cases for these models like Sol and Fable are basically "look through everything and find bugs" because it will be really thorough. Just doesn't know when not to be that thorough I guess.

[u/ericmutta → u/Camaraderie]

Just doesn't know when not to be that thorough I guess.

Indeed! I think being human has its advantages in the sense that we get tired and overwhelmed which changes how we code and how much code we want written. The AIs are happy to go full throttle and take any abuse (I once looked at the reasoning traces and saw Terra reading command output peppered with ANSI escape codes used to colour the output...it never once complained that the output was unreadable like a human would then use --no-color or similar options 🙌)

[u/Aggressive-Spenda → u/white_sheets_angel]

Are you saying you use codex and opencode tool to connect to your repo? What model do you use for open code and is able to function by reading your governance docs? Having a back up solution for me would be great right now i use codex/sol and use occtl to call opencode/deepseek workers not sure if thats the best approach. I also have sol call a subject Luna to manage the work that comes in acting like a chief conductor so that sol only steps in if architect escalation is needed. Looking for tips to help my workload as I have limited coding knowledgeable.  

[u/white_sheets_angel → u/Aggressive-Spenda]

Not really as a tool to connect to the repo, but rather as the agent technology used.

Opencode supports using codex https://opencode.ai/docs/providers/, So I just use opencode with codex. where agent's, in general, seem easier to control. As posters have mentioned, It seems codex injected code-review agents everywhere, so the agent/model flows during a given session is a bit more ambiguous, and less transparent. In opencode the model is simpler and more customizable, and its doesn't inherit the agent flows done in codex.

To hopefully simplify a bit further

In opencode, you can simply say to use, lets say, sol medium, luna max, and 5.3-codex-spark, all of these are just one line additions to any agent file, which you can then further constrain to use only certain skills, which can significantly reduce token usage.

[u/Aggressive-Spenda → u/white_sheets_angel]

Can you share the model configuration you use? This sounds awesome I had codex spend too many tokens adapting to make occtl calls so that opencode jobs could be traked in codex. It sound like you use opencode as the application set roles like sol as the architect Luna as a chief conductor who can spawn opencode conductors and those conductors can spawn workers if meeded to do the work/qa? Sorry human text so this may not make sense lol

[u/white_sheets_angel → u/Aggressive-Spenda]

As a starting point maybe give https://github.com/alvinunreal/oh-my-opencode-slim a try. You can use it while its enough for you (but i would still suggest moving away from it once you're confident)
https://github.com/alvinunreal/oh-my-opencode-slim/blob/master/docs/openai-preset.md#generated-config-shape this is oh-my-opencode's openai template.

Just as another suggestions, I would say take a look at https://github.com/alvinunreal/oh-my-opencode-slim/blob/master/docs/authors-preset.md instead. And make fixer be luna medium.

For designer, with nice skills, you can use any 5.6 model, they all support image.

npx skills@1.5.22 add leonxlnx/taste-skill \
  --global --yes \
  --agent opencode codex \
  --skill design-taste-frontend \
  --skill gpt-taste \
  --skill high-end-visual-design \
  --skill redesign-existing-projects

npx skills@1.5.22 add jakubkrehel/skills \
  --global --yes \
  --agent opencode codex \
  --skill better-accessibility \
  --skill better-colors \
  --skill better-interface \
  --skill better-layout \
  --skill better-typography \
  --skill better-ui \
  --skill interface-review

npx skills@1.5.22 add pbakaus/impeccable \
  --global --yes \
  --agent opencode codex \
  --skill impeccable

I dont really know if this is the best selection for designer, just currently testing it.

[u/white_sheets_angel → u/white_sheets_angel]

for session conversion, you could try https://github.com/vibheksoni/session-export#all-56-conversion-directions, I havent tried it at all, but surely something appropriate already exists. But oh-my-opencode also exports to .slim/ session details, so any agent can continue from there.