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Design a Resilient Retry Policy for an External API Call

Coding Backend Advanced 🤖 ChatGPT 👁 4 views

📝 The Prompt

You are a backend reliability engineer. Design a retry policy for calling [external_api] from a [language] service. Cover: 1) Which HTTP status codes and exception types should be retried vs surfaced immediately. 2) The exact backoff algorithm (exponential with jitter — provide the formula and base values). 3) The maximum retry budget per request and per minute. 4) How to distinguish idempotent from non-idempotent calls and what changes for each. 5) Circuit breaker thresholds and recovery behavior. 6) What to log at each retry (correlation id, attempt number, delay, error). 7) How to ensure we do not amplify outages on the upstream. Provide concrete code for the retry wrapper in [language] with comments explaining each decision, plus a test plan with at least 5 failure scenarios.

⚙️ Replace 2 placeholders: [external_api] [language]

🎯 What this prompt does

This AI prompt helps you design a resilient retry policy for an external api call. Designed for backend workflows in the coding category, it's a advanced-level prompt you can copy directly into ChatGPT to get instant, production-ready results.

Use it when you need a advanced prompt that produces clear, actionable output without wrestling with trial-and-error wording. Just copy, customize, and run.

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🚀 How to use this prompt

  1. Copy the prompt using the 📋 button above.
  2. Open ChatGPT (or Claude, Gemini, Perplexity, or your preferred LLM).
  3. Paste the prompt into a new chat. Replace 2 bracketed placeholders ([external_api] [language] ) with your own details.
  4. Run the prompt and review the AI's response. Most outputs are usable immediately.
  5. Iterate if needed — if the tone, length, or structure isn't quite right, reply with "make it shorter", "use bullet points", or "make it more formal" and the AI will refine it.

💡 Tips for better results

  • Replace the bracketed placeholders ([external_api], [language]) with your own specifics before sending.
  • If the first output isn't quite right, ask the AI to refine, rewrite, or add more detail — iteration is key.
  • For long outputs, ask for a section at a time (e.g. 'start with the introduction only') to keep quality high.
  • Combine this with other coding prompts to build an end-to-end workflow.
  • Save your favorite variations — small wording tweaks often produce noticeably different results.
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✨ What you'll get

When you run this prompt, expect ChatGPT to return:

  • A directly usable backend output tailored to the details you provided
  • Clear structure (headings, bullets, or numbered sections) that you can drop into your workflow
  • Content that matches your specified tone and context
  • Results in under 30 seconds — no manual drafting required

Need a different angle? Just ask follow-up questions. The AI will adjust without you starting over.

🔄 3 variations to try

1

Make it more formal

Add "Use a formal, professional tone suitable for enterprise clients" at the start of the prompt.

2

Ask for multiple options

Append "Give me 5 alternative versions, each with a different angle or approach." after the main instruction.

3

Request structured output

Add "Return the response as a markdown table (or bullet list, or JSON)" so you can paste the result directly into your docs or code.

🏷 Tags

🔎 Find more prompts like this

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