What is Laminar?
Laminar provides a comprehensive solution for developers working with Large Language Models (LLMs). The platform offers essential tools for tracing LLM calls in production, monitoring performance changes after prompt modifications, and collecting valuable data for fine-tuning and prompt engineering.
Through its serverless architecture and simple integration process, Laminar enables developers to implement LLM observability with minimal code changes. The platform supports automatic tracing of common LLM frameworks and SDKs, while also providing capabilities for online evaluations, dataset creation, and pipeline building.
Features
- Easy Integration: Implement tracing with just 2 lines of code
- Automatic Tracing: Tracks all LLM calls and traces with minimal latency overhead
- Online Evaluations: Process spans automatically with LLM or Python evaluators
- Dataset Building: Create datasets from traces for evaluations and fine-tuning
- Pipeline Builder: Prototype and iterate on LLM chains quickly
- Open Source: Self-hostable with simple deployment commands
Use Cases
- Production LLM monitoring
- Performance tracking after prompt changes
- Data collection for fine-tuning
- Prompt engineering optimization
- LLM pipeline prototyping
- Automated span evaluation
FAQs
-
What is a span?
A span is a unit of measurement for tracking and monitoring LLM operations in your application.
