Pezzo
Open-source LLMOps platform for prompt management and instant deployments.
Pezzo is profiled here as a Prompt Management tool for engineering teams. Read about features, pricing, and how it compares to related options in the tools directory.
Description
Pezzo is an open-source LLMOps platform maintained by Pezzo Labs, released under the Apache 2.0 license and built entirely on open-source infrastructure including PostgreSQL, ClickHouse, Redis, and Supertokens. The platform lets engineering teams version, test, and publish prompts to production without code redeploys, and adds observability over execution history, cost, and latency. It runs via Docker Compose for local evaluation or self-hosted deployment.
Key Capabilities:
Prompt versioning with environment-specific publishing and instant production deploys
Execution logs with cost, latency, and token usage metrics per prompt run
Time travel troubleshooting to fix failed prompt executions and republish instantly
Playground for testing prompts with variables and real-time model output
Python and TypeScript SDKs for integrating prompt fetching with minimal code changes
Multi-provider support via UniLLM, an OpenAI-compatible interface for any LLM
Self-hostable via Docker Compose with no proprietary runtime dependencies
Apache 2.0 license with full commercial use rights
Alternative tools
- W&B Weave
Trace, evaluate, and monitor LLM applications systematically
- Traceloop
OpenTelemetry-native tracing for LLM applications
- LangChain
The standard open-source framework for LLM applications
- Portkey
AI gateway with routing, guardrails, and prompt management
- Freeplay
Prompt management, evals, and observability for product teams
- DSPy
Declarative framework for programming and optimizing LLM pipelines