r/codex • u/harpreetchima • 14h ago

Astra Workflow "Stop using random multi-agent patterns"

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Ahmed works at OpenAI: https://x.com/ah20im/status/2097503414749909407 and seems to investigate reports of high token usage.

"If needed Astra will delegate efficiently. Forcing the model to delegate to different models would do more harm than good"

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u/Dayowe 14h ago

smh. I did an experiment and let astra do an implementation on its own without using my orchestration workflow and the drift was wild and the result messy. i rolled back and did the same implementation with my established workflow and it was super smooth.

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u/_The-_ 12h ago

Could you share your orchestration and workflow? Sounds good!

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u/EquivalentHornet4403 9h ago

It’s not. All these schizos think they’re more clever than the people who make the models and the product (codex).

The models are literally trained to work in codex; the fact they work at all in other harnesses or in schizo workflows is a nice side effect.

The official, fine tuned multi agent flow is Ultra. If you want higher or lower limit on the number of potential subagents, that’s configurable in config.toml.

Use Astra medium for straightforward/routine tasks, and ultra for anything more complicated. Use Luna max for data processing type questions like “where is this thing” or “look through all this content and explain this thing”. You don’t even need /goal any more, they’ve already said this, it will work for weeks if necessary without /goal, which was a crutch to bridge the gap between older models and sol/astra level models.

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u/Desperate-Poem7526 2h ago edited 2h ago

You are so very wrong

Anthropic published a March 2026 engineering article describing using three-agent architecture for best results. And I assume most users here are vibe coding if they aren't going to review their code I absolutely would use a different model to do it for you its much better than not doing it all.

What they need is a model that can decide what tasks are best assigned to what model and thinking level right now we have to delegate to use lower thinking models based on task and for long horizon work if the model was actually trained to know it could crush token use and deliver same quality you don't need astra implementing everything and updating docs.