#31 · Primary category: Prompt Engineering Tools

pezzo

ai devtools gpt-3 gpt-4 hacktoberfest javascript langchain llm llmops monitoring nestjs nodejs observability openai platform prompt prompt-engineering prompt-management python typescript

🕹️ Open-source, developer-first LLMOps platform designed to streamline prompt design, version management, instant delivery, collaboration, troubleshooting, observability and more.

Project last updated:08/21/26

GitHub Stars

3.3K

Forks

280

Contributors

22

License

Apache-2.0

Why we included this project

Teams shipping LLM-powered features quickly find that prompts drift as much as code does, and Pezzo gives them one place to manage that drift. Its versioned prompt registry lets you push a wording change to production on the spot, without waiting for an app deploy. The same platform keeps an execution history for every language-model request, so latency and per-call cost are easy to check when something misbehaves live, and troubleshooting becomes a short conversation instead of a hunt. You can reopen a failed run, adjust the prompt, and commit the fix immediately rather than redeploying. For a small team this is one self-hostable Docker Compose system that replaces several separate services, which makes it an easy call if you build on GPT-class models or LangChain and want to iterate on prompts without gluing together a monitoring stack yourself.

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