
pezzo
đšī¸ Open-source, developer-first LLMOps platform designed to streamline prompt design, version management, instant delivery, collaboration, troubleshooting, observability and more.
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Pezzo is a fully cloud-native and open-source LLMOps platform that allows users to observe and monitor AI operations, troubleshoot issues, save costs and latency, collaborate, manage prompts, and deliver AI changes instantly. It supports various clients for prompt management, observability, and caching. Users can run the full Pezzo stack locally using Docker Compose, with prerequisites including Node.js 18+, Docker, and a GraphQL Language Feature Support VSCode Extension. Contributions are welcome, and the source code is available under the Apache 2.0 License.
README:
Pezzo is a fully cloud-native and open-source LLMOps platform. Seamlessly observe and monitor your AI operations, troubleshoot issues, save up to 90% on costs and latency, collaborate and manage your prompts in one place, and instantly deliver AI changes.
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Click here to navigate to the Official Pezzo Documentation
In the documentation, you can find information on how to use Pezzo, its architecture, including tutorials and recipes for varius use cases and LLM providers.
Feature | Node.js âĸ Docs | Python âĸ Docs | LangChain |
---|---|---|---|
Prompt Management | â | â | â |
Observability | â | â | â |
Caching | â | â | â |
Looking for a client that's not listed here? Open an issue and let us know!
If you simplay want to run the full Pezzo stack locally, check out Running With Docker Compose in the documentation.
If you want to run Pezzo in development mode, continue reading.
- Node.js 18+
- Docker
- (Recommended) GraphQL Language Feature Support VSCode Extension
Install NPM dependencies by running:
npm install
Pezzo uses a .env file to store environment variables. When using docker, you should also create a .env.docker file.
See the .env.example file for reference.
Pezzo is entirely cloud-native and relies solely on open-source technologies such as PostgreSQL, ClickHouse, Redis and Supertokens.
You can run these dependencies via Docker Compose:
docker-compose -f docker-compose.infra.yaml up
Deploy Prisma migrations:
npx dotenv-cli -e apps/server/.env -- npx prisma migrate deploy --schema apps/server/prisma/schema.prisma
Run the server:
npx nx serve server
The server is now running. You can verify that by navigating to http://localhost:3000/api/healthz.
In development mode, you want to run codegen
in watch mode, so whenever you make changes to the schema, types are generated automatically. After running the server, run the following in a separate terminal Window:
npm run graphql:codegen:watch
This will connect codegen directly to the server and keep your GraphQL schema up-to-date as you make changes.
Finally, you are ready to run the Pezzo Console:
npx nx serve console
That's it! The Pezzo Console is now accessible at http://localhost:4200 đ
We welcome contributions from the community! Please feel free to submit pull requests or create issues for bugs or feature suggestions.
If you want to contribute but not sure how, join our Discord and we'll be happy to help you out!
Please check out CONTRIBUTING.md before contributing.
This repository's source code is available under the Apache 2.0 License.
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