@miu21590 demoed using Jev inside a running Codex session to raise/lower GPT-6 Astra reasoning effort—more thinking when stuck, less on routine steps—reporting ~50% lower Astra costs and faster runs without breaking prompt caching. Versus the usual pre-task Jev model pick, this wires the decision model mid-run for cost control.

Key Takeaways

  • ✓Call Jev mid-Codex-run to raise/lower GPT-6 Astra reasoning effort.
  • ✓Author tests: ~50% lower Astra cost, faster, prompt cache intact.
  • ✓Moves Jev from pre-task model pick to in-task cost control.
Mid-task Jev in Codex raises/lowers GPT-6 Astra reasoning effort; author reports ~50% Astra cost cut without breaking prompt cache
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Key Decision Metrics at a Glance

TL;DR Verdict
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Author tests: ~50% lower Astra cost, faster, prompt cache intact.
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