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Hammad Yousuf.
Prompt caching · NOTE 04

Prompt caching: find the unstable prefix

A timestamp at the top can change the prompt you meant to reuse.

Starter template · 4 October 2026
Hammad Yousuf
By Hammad YousufSoftware, AI & automation
STABLE CONTEXT → VARIABLE INPUT → MEASURE HITS
Prompt layout audit · Open access

What to inspect

Separate shared instructions from request-specific content. Compare the actual serialized prefix across repeated requests, then use provider-reported cache metrics to evaluate reuse. Prefix stability alone does not establish eligibility or a cache hit.

Worked example

Illustrative layout: shared policy and tool definitions come first; the changing customer question follows. If a timestamp or random request label appears before the shared material, compare the serialized requests before assuming the same prefix is being reused.

Copy the full prompt

Adapt the inputs to your task. Remove private data before sending anything to a model. This page copies text locally; it does not run the prompt.

Full prompt · adapt the inputs
Audit these three serialized prompts: [PROMPTS]. Identify the longest identical prefix and mark every changing field. Propose a layout with stable instructions first and variable request data later. Do not remove information needed for correctness. List the provider-specific cache eligibility, breakpoint and expiry rules that still need verification. Create a measurement table for cache reads, writes, total tokens, cost and latency.

Review checklist

  1. Compare serialized requests, not just templates.
  2. Keep necessary dynamic context accurate.
  3. Verify eligibility in current provider documentation.
  4. Measure hits and total cost on repeated requests.

Keep the resource

Download the complete note ↓Markdown · explanation, example, prompt and checklistDownload the prompt ↓Plain text · ready to adaptOpen the full-size visual ↓SVG · scalable reference diagram

Documentation & scope

OpenAI: prompt caching ↗

This is an original workflow template with an illustrative example. It does not report completed model tests or measured performance. Provider APIs can change; check the linked documentation for your exact integration.

Have a workflow to review?

Bring the task, inputs and the result you need. We can discuss the integration and the checks around it.

Discuss your workflow ↗