#Pull request breakdown #55118

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calm pagoda
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Here's ChatGPT's advice 😛

  1. Break It Down (Critical)

Split into 3 PRs:

PR 1 — Docs Only
New flow: retry → rotate → fallback
No code changes

PR 2 — Retry Logic (Isolated)
Introduce retry mechanism
Feature flag it if possible

PR 3 — Cooldown + Backoff Changes
Replace exponential cooldown
Add linear backoff

  1. Add a Kill Switch (Huge Win)
    features: {
    smartRetryFlow: true
    }

This instantly reduces perceived risk.

  1. Add Before/After Behaviour Table

Devs trust comparisons more than prose:

Scenario Before After
429 rate limit Immediate fallback Retry 1–2x
Auth glitch Cooldown 1h Retry + short cooldown
Model failure Fallback chain Retry → fallback
4. Show Cost Impact (This Sells It)

Even rough numbers:

“Reduces fallback usage by ~30–60%”
“Prevents unnecessary GPT-4 / expensive model hits”

That’s what gets buy-in.

  1. Add Guardrails Explicitly

Call these out clearly:

Retry caps (no infinite loops)
Non-retryable errors respected
Backoff bounded (max 5 min etc.)

novel fulcrum
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stop sending AI slop

calm pagoda
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Pull request breakdown #55118

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I'm trying to make it easier for you.. Yes it might be some AI slop, but I'm trying to get a bug fixed.