Pezzo is a fully cloud-native, open-source LLMOps platform built for development teams that need to manage, version, and monitor AI prompts across their applications. It is maintained by pezzolabs on GitHub under the Apache 2.0 license and was last updated in March 2026, indicating active maintenance. The platform centralizes all AI prompt management in one place, allowing teams to design, test, version, and deploy prompts without redeploying code. Pezzo introduces the concept of 'instant delivery' where prompt changes can be pushed to production environments immediately through the platform rather than through a traditional code release cycle. Pezzo provides built-in observability by automatically tracing LLM operations and requests, collecting metrics from all LLM calls, and exposing detailed dashboards. This gives teams visibility into cost, latency, and usage across every prompt and AI model in their stack. The platform claims potential cost and latency savings of up to 90% through caching and optimization features. Developer integration is handled via client SDKs for both Node.js and Python, and the platform is designed to require only minimal code changes to instrument existing applications. Pezzo supports mainstream LLM providers including OpenAI, positioning itself as a provider-agnostic management layer. Pezzo targets engineering teams and AI developers who are deploying LLM-powered features in production and need collaboration, auditability, and operational control over their prompts without building custom tooling. Key features: - Centralized prompt management with version control and history - Instant prompt delivery to production without code redeployment - Automatic LLM request tracing and observability dashboards - Cost and latency monitoring across all prompts and models - Node.js and Python client SDKs for easy integration - Team collaboration with shared prompt environments and A/B testing support - Apache 2.0 licensed, self-hostable open-source codebase - Support for mainstream LLM providers including OpenAI
Open-source (Apache 2.0, self-hostable). Cloud/managed pricing not publicly listed.