pezzo: a cloud-native LLMOps platform for managing prompts and monitoring AI operations

What it solves

Pezzo provides a centralized platform for managing the lifecycle of LLM-powered applications. It addresses the common struggle of hard-coding prompts in codebases, avoiding the need to redeploy code to update a prompt, or the lack ofvisibility into how prompts are performing in production.

How it works

It acts as an LLMOps platform that integrates with your application via clients (Node.js, Python, and LangChain). It provides a centralized console for prompt management, observability, and caching to reduce costs and latency.

Who it’s for

Developers and teams building AI applications who need a way to manage, monitor, and optimize their prompts and AI operations without constant code deployments.

Highlights

• Prompt Management: Manage and update prompts in one place and deliver changes instantly.
• Observability: Monitor and troubleshoot AI operations to identify issues.
• Caching: Reduce costs and latency by up to 90% through integrated caching.
• Cloud-Native Stack: Built on open-source technologies including PostgreSQL, ClickHouse, Redis, and Supertokens.