Pezzo
Pezzo is a free, open-source toolkit for AI development available through web, API, or self-hosted deployment.
What Pezzo is
Pezzo is a free, open-source toolkit for AI development available through web, API, or self-hosted deployment. It centralizes prompt editing, testing, and versioning, allowing a selected version to be published to an environment or an older version to be republished. Prompt text can include curly-brace variables that the Pezzo Client replaces when calling the model provider. Pezzo traces requests and collects metrics for execution time, cost, and error rate; metric alerts are listed as coming soon. Its language-agnostic Proxy routes LLM requests through Pezzo without changing existing consumption code and is open source under the Apache 2.0 license. Documentation lists Node.js and Python clients and LangChain observability examples. OpenAI Chat Completion is supported in the prompt editor, while Azure OpenAI Chat Completion and Anthropic are marked coming soon. The full stack runs locally with Docker Compose using a server, console, PostgreSQL, and Redis. Pezzo Cloud is described as managed hosting. Request caching uses a header and expires after three days by default, with that duration not configurable.
Good
- Centralizes prompt editing, testing, and versioning
- Traces execution time, cost, and error metrics
- Proxy requires no changes to existing LLM code
- Supports Node.js and Python clients
- Can run locally with Docker Compose
Watch out
- Metric alerts are listed as coming soon
- Only OpenAI Chat Completion is currently supported
- Cache expiration defaults to three days
- Azure OpenAI and Anthropic are not yet available
Who it suits
Pezzo suits developers and teams managing prompts, model requests, and observability in web, API, or self-hosted environments. It is especially relevant to Node.js or Python users and teams wanting an open-source proxy.
Verdict
Pezzo combines prompt lifecycle management with request tracing and an open-source proxy. Its self-hosting and client options are useful for development teams, while provider support and upcoming alerts remain limited.
The facts
Each one read from Pezzo's own pages, with the date it was checked.
What it does
- Alerts
- Metric alerts are listed as coming soon in Pezzo’s monitoring documentation.checked 9 Oct 2001
- Caching
- Request caching can be enabled with the X-Pezzo-Cache-Enabled header; cached requests expire after three days by default, and that duration is not configurable.checked 9 Oct 2001
- Client libraries
- The getting-started documentation lists Node.js and Python client support.checked 9 Oct 2001
- Cloud hosting
- Pezzo Cloud is described as a fully managed version hosted and managed by the Pezzo team.checked 9 Oct 2001
- Deployments
- Prompt versions can be published instantly to a selected environment, and older versions can be republished.checked 9 Oct 2001
- Integrations
- Pezzo documents LangChain integration for observability and monitoring, with Node.js and Python examples.checked 9 Oct 2001
- Model providers
- The prompt editor lists OpenAI Chat Completion as supported; Azure OpenAI Chat Completion and Anthropic are marked coming soon.checked 9 Oct 2001
- Observability
- Pezzo traces requests and collects LLM metrics including execution time, cost, and error rate.checked 9 Oct 2001
- Open source
- Pezzo says its proxy is open source under the Apache 2.0 license.checked 9 Oct 2001
- Open-source license
- The Pezzo Proxy is open source under the Apache 2.0 license.checked 9 Oct 2001
- Product
- Pezzo is an open-source toolkit for AI development.checked 9 Oct 2001
- Prompt editor
- Prompt content can include curly-brace variables that are dynamically replaced when calling the LLM provider through the Pezzo Client.checked 9 Oct 2001
- Prompt management
- Pezzo provides centralized prompt management, editing, testing, and versioning.checked 9 Oct 2001
- Prompt providers
- The prompt editor lists OpenAI Chat Completion as supported and Azure OpenAI Chat Completion and Anthropic as coming soon.checked 9 Oct 2001
- Proxy
- Pezzo Proxy routes LLM requests through Pezzo and is described as language agnostic, requiring no changes to existing LLM consumption code.checked 9 Oct 2001
- SDK clients
- The documentation lists client support for Node.js and Python.checked 9 Oct 2001
- Self-hosting
- The full Pezzo stack can be run locally with Docker Compose; its documented components include a server, console, PostgreSQL, and Redis.checked 9 Oct 2001
- Support
- Pezzo’s documentation links to a Discord community and GitHub repository.checked 9 Oct 2001
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