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Memic’s prompt management lets you store prompts in the dashboard, version them, and fetch them at runtime via the API. This means you can iterate on prompts without shipping new code — useful for prompt engineering, A/B testing, or letting non-developers tune LLM behavior.

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The basics

Create a prompt in the dashboard (Dashboard → Prompts → Create), give it a name like customer-support-system, write the prompt body in markdown with variables: 
You are a helpful customer support assistant for {{ company_name }}.

Answer the user's question using only the context provided below.
If you can't answer from the context, say so.

Context:
{{ context }}
Mark a version as live, then fetch it at runtime: 
prompt = client.prompts.get("customer-support-system")

rendered = prompt.render(
    company_name="Acme Corp",
    context=search_results_as_string,
)
rendered is now a string ready to pass to your LLM.

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How versioning works

Each prompt has multiple versions, and exactly one version is live at a time. Fetching via the API always returns the live version. Workflow:
  1. Create a new version (edits are automatically versioned)
  2. Preview it in the dashboard
  3. Mark it as live when ready
  4. Next API call picks up the change immediately — no redeploy
Old versions are kept indefinitely for rollback.

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Environment scoping

Prompts are environment-scoped, same as files. A prompt named customer-support-system in your staging environment is a completely different resource from a prompt with the same name in production. This lets you experiment in staging without risk.

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Variables

Variables use {{ variable_name }} syntax (double curly braces). The SDK detects them automatically when you fetch the prompt and expects you to supply values in render(). If you pass a variable that isn’t in the prompt, it’s ignored. If you don’t pass a variable the prompt expects, render() raises an error.

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Use cases

  • Prompt tuning without deploys — let prompt engineering happen in the dashboard, not in code
  • A/B testing — run one version live, measure quality, switch versions
  • Non-technical collaborators — let product/ops teams edit prompts
  • Rollbacks — if a new prompt version tanks quality, revert in one click

API reference

GET /prompts/{name} — fetch the live version.