# pezzolabs/pezzo

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

Repository: https://github.com/pezzolabs/pezzo
Canonical: https://ross.abutalabs.com/products/pezzo
Homepage: https://pezzo.ai
Language: TypeScript
License: Apache-2.0
License Family: permissive
Topics: ai, gpt-3, openai, devtools, gpt-4, prompt-engineering, nodejs, platform, langchain, monitoring, observability, prompt, prompt-management, javascript, nestjs, python, typescript, llm, llmops, hacktoberfest
Last push: 2026-08-21T21:40:31+00:00

## Health v2 (maintenance only)
Score: 64/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 98, release rhythm 8, longevity 87
- inputs: {"age_days": 1229, "days_push": 12, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3266, forks 279 (observed 2026-08-28T04:07:52.919981+00:00)

## What it is
Pezzo is an open-source, cloud-native LLMOps platform for managing the lifecycle of AI-powered features, including prompt design, versioning, deployment, and observability. It provides clients for Node.js, Python, and LangChain to monitor AI operations, troubleshoot requests, and reduce cost and latency.

## Use cases
- manage and version LLM prompts across environments
- observe and monitor AI operations and requests
- troubleshoot LLM request failures and latency
- reduce OpenAI API costs and latency
- collaborate with a team on prompt design
- instantly deliver prompt changes without redeploying
- integrate prompt management into LangChain apps

## When to choose
- you need centralized prompt versioning and deployment for LLM apps
- you want observability and cost tracking for OpenAI or other LLM providers
- you prefer a self-hostable, open-source LLMOps platform
- your team collaborates on prompt engineering across Node.js or Python services

## When to avoid
- you only need a simple prompt template library without observability
- you require a fully managed commercial LLMOps suite with enterprise support
- your stack has no JavaScript or Python integration path

## Facets
- artifact type: service
- maturity: active
- function: monitoring, prompt-engineering, llm-inference, developer-tools
- domain: large-language-models, artificial-intelligence, developer-tools, monitoring, self-hosted
- platform: self-hosted, python, cloud
- tags: llmops, prompt-management, prompt-versioning, observability, cost-tracking, openai, langchain, nodejs, docker

## Member repositories
- pezzolabs/pezzo (main) score 64

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:52.919981+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:23:10.998703+00:00, confidence not recorded.
  - readme: https://github.com/pezzolabs/pezzo (fetched 2026-08-28T04:07:52.919981+00:00, sha acb670465b2a)
  - registry_npm: https://registry.npmjs.org/pezzo (fetched 2026-08-29T09:36:47.465875+00:00, sha 5d19b6e50e00)
- Data as of 2026-08-30T08:39:29.467469+00:00.