
What is Laminar?
Laminar is an open-source platform designed for tracing and evaluating AI applications. It allows developers to build, deploy, and monitor next-generation AI apps with features like complex async pipelines, a fast Rust backend, version control for production releases, and zero-latency-overhead logs for monitoring each pipeline node. Laminar provides observability, evals, and browser agent capabilities to help developers build reliable AI products.
How to use Laminar?
To use Laminar, initialize it in your project with a single line of code. It automatically traces common LLM frameworks and SDKs. You can also manually trace any function using the `observe` function. Laminar provides real-time traces and browser agent observability to help debug and improve your AI app.
Laminar’s Core Features
Automatic tracing of LLM frameworks and SDKs Real-time traces Browser agent observability LLM playground Datasets for evals, fine-tuning, and prompt engineering Labels for spans Open-source and self-hostable
Laminar’s Use Cases
- Debugging and improving AI applications
- Evaluating AI application performance
- Fine-tuning AI models
- Prompt engineering
- Monitoring AI application pipelines
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