In simple English
When your app talks to language models like GPT, keeping track of prompts and costs gets messy fast. This tool gives you a single dashboard to write prompts, test changes, and push updates without touching your code. It also tracks how much money and time every request takes. You can host it yourself on your own server for free. Setting it up takes some technical work and multiple background services.
What it is
Pezzo is a cloud-native platform for managing prompts, monitoring requests, and caching responses from language models. It includes a web dashboard, client libraries for Node.js and Python, and tools for team collaboration.
What it is good for
Solo builders who want to update AI prompts without redeploying their entire application or want to track how much money their API calls are costing.
- Update prompts instantly without changing your application code.
- Track costs and response times for every AI request.
- Built-in caching helps you save money on repeated queries.
- Requires Docker (a way to run a program inside its own sealed box, so it cannot break anything else on your server) and multiple database services to run.
- Setup is complex for non-programmers.
- Requires at least 2 to 4 GB of memory to run all background services smoothly.
Hardcoded prompts in application code and manual cost tracking spreadsheets
OpenAI API
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git clone https://github.com/pezzolabs/pezzo.git cd pezzo npm install docker-compose -f docker-compose.infra.yaml up