---
title: Prompt Template — AI Glossary
description: A prompt template is a reusable prompt structure with placeholders that are filled with variable inputs at runtime. It standardizes instructions, format, and examples across many requests, so applications produce consistent prompts programmatically instead of hand-writing each one.
canonical: https://prompeteer.ai/glossary/prompt-template
---

# Prompt Template

A prompt template is a reusable prompt structure with placeholders that are filled with variable inputs at runtime. It standardizes instructions, format, and examples across many requests, so applications produce consistent prompts programmatically instead of hand-writing each one.

## Definition

Rather than composing a fresh prompt for every request, applications define a template — fixed instructions and layout with slots for dynamic data such as the user's question or retrieved context. At runtime the slots are populated, yielding a complete, consistent prompt. This makes prompts maintainable, testable, and versionable like code.

Prompt templates are central to production LLM systems and frameworks, where they encapsulate role, constraints, output format, and few-shot examples. Versioning and evaluating templates lets teams improve prompt quality systematically rather than through ad hoc edits.

## Sources

- [OpenAI — Prompt engineering guide](https://platform.openai.com/docs/guides/prompt-engineering)
- [LangChain — Prompt templates concept](https://python.langchain.com/docs/concepts/prompt_templates/)

## Related terms

- [few-shot-learning](https://prompeteer.ai/glossary/few-shot-learning)
- [zero-shot-learning](https://prompeteer.ai/glossary/zero-shot-learning)
- [context-engineering](https://prompeteer.ai/glossary/context-engineering)
- [system-prompt](https://prompeteer.ai/glossary/system-prompt)