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PEZZO
Open-source LLMOps platform for prompt management and observability
Apache-2.0
ABOUT
Managing LLM applications in production involves juggling prompt versions across environments, tracking costs across multiple providers, debugging latency issues, and optimizing API usage — all without dedicated tooling. Pezzo solves this by providing a unified LLMOps platform with prompt version management and deployment across staging/production, real-time observability with cost and latency tracking per call, built-in response caching to reduce API costs, and configurable fallback strategies for provider reliability.
INSTALL
pip install pezzoINTEGRATION GUIDE
1. Manage and version prompts across development, staging, and production environments with deployment controls
2. Monitor LLM API costs and latency in real time with per-request breakdowns by model, provider, and prompt
3. Cache LLM responses to reduce API costs and improve response times for repeated queries
4. Configure fallback providers and models to maintain availability when primary LLM providers experience outages
5. Collaborate on prompt engineering with team workspaces, change history, and prompt review workflows
TAGS
monitoringllmobservabilityprompt-managementcostscachingllmops