GitHub – langgptai/LangGPT: LangGPT: Empowering everyone to become a prompt expert!

LangGPT: A Structured Prompt Framework for Reliable GenAI Outputs

LangGPT is a structured, reusable prompt design framework for large language models.
It treats prompts like code, with templates, variables, and modular sections.
Why this matters to you.
– It reduces trial-and-error when scaling prompt-driven workflows.
– It improves consistency across assistants and teams.
– It makes prompts auditable and reusable across projects.

What is LangGPT?
LangGPT is a „programming language for prompts“ that brings structure to prompt design.
It replaces scattered tips with templates and clear syntax.
The project includes an academic foundation (see arXiv:2402.16929) and a practical example library.
Example prompt snippet.
Persona:
Task: Summarize the contract clause into a 3-line executive summary.
Tone: concise and factual.

Core principles and building blocks
LangGPT uses modular sections to define personas, actions, and variables.
That keeps instructions consistent when conversations get long.
It supports reminders and alternative formats like JSON or YAML for systems that prefer structured outputs.
Example variable usage.
Use to inject dynamic content across sections.
Example: Replace to maintain brand-specific phrasing.

Applying LangGPT in enterprise workflows
You can adapt LangGPT templates to chat assistants, document generation, and research prototypes.
Prerequisites are simple: basic Markdown familiarity and a modern model such as GPT-4 or Claude.
Community templates and a contribution guide make it easier to onboard teams.
Example JSON output template.
{ „summary“: „„, „confidence“: „“ }
A brief anecdote.
I recently used a LangGPT template to standardize executive summaries across three product teams.
The result was clearer handovers and fewer follow-up questions.

Wrapping up
LangGPT makes prompt design systematic and repeatable for organizations.
It helps reduce variability and improves predictability when deploying GenAI at scale.
If you want to explore templates, examples, or contribute to the project, visit the repository.
https://github.com/langgptai/LangGPT
For C-level leaders, this means clearer governance over AI prompts and faster, measurable business outcomes.