laminar

laminar

Open-source platform for comprehensive tracing and evaluation of AI applications.

About laminar

Laminar is an open-source platform designed for detailed tracing and performance evaluation of AI applications. It enables developers to build, deploy, and monitor advanced AI models with features like asynchronous pipeline tracking, a fast Rust backend, version control for releases, and zero-overhead logging for each pipeline component. Laminar offers robust observability, evaluation tools, and browser integration to help create reliable and efficient AI solutions.

How to Use

Integrate Laminar into your project with a simple initialization. It automatically traces popular LLM frameworks and SDKs. For custom functions, use the `observe` method to add manual traces. Laminar provides real-time insights and browser-based observability to optimize your AI applications.

Features

  • Real-time tracing and monitoring
  • Browser-based observability tools
  • Custom labels for trace spans
  • Open-source and self-hosted deployment
  • Dedicated LLM development environment
  • Automatic detection of LLM frameworks and SDKs
  • Datasets for model evaluation, fine-tuning, and prompt engineering

Use Cases

  • Prompt engineering optimization
  • Monitoring AI pipeline performance
  • Evaluating AI model accuracy
  • Debugging complex AI workflows
  • Fine-tuning large language models

Best For

LLM Operations EngineersData ScientistsAI Application DevelopersAI EngineersMachine Learning Engineers

Pros

  • Open-source and deployable on private infrastructure
  • Automatic tracing with minimal code modifications
  • Browser-based tools for effective debugging
  • Real-time observability for immediate insights
  • Complete suite for evaluation, fine-tuning, and prompt engineering

Cons

  • Setup and maintenance may require technical expertise
  • Community support for the free tier might be limited
  • Pricing plans could restrict extensive usage for some users

Pricing Plans

Choose the perfect plan. All plans include 24/7 support.

Free

Free

Includes 50,000 spans per month, 15-day data retention, support for one team member, 500 Index agent steps monthly, and community support.

Get Started
Most Popular

Hobby

$25/month

Allows 100,000 spans monthly (additional $5 per 100k spans), 30-day data storage, two team members, 2,500 Index agent steps (additional $10 per 1,000 steps), priority email support.

Get Started

Pro

$50/month

Includes 200,000 spans per month (additional $5 per 100k spans), 90-day data retention, three team members (additional $25 per extra member), 5,000 Index agent steps, and a private Slack channel.

Get Started

FAQs

What is a span in tracing?
A span represents a specific operation or task within a trace, helping to monitor and analyze performance. For detailed information, refer to Laminar's documentation.
What does an agent step mean?
An agent step measures the processing activity within the system, aiding in performance analysis. Please consult Laminar's documentation for a comprehensive explanation.
Is Laminar open-source?
Yes, Laminar is an open-source platform that can be self-hosted and customized according to your needs.
Can I trace custom functions in Laminar?
Absolutely. You can manually trace any function using the `observe` method to gain detailed insights.
Does Laminar support real-time monitoring?
Yes, Laminar provides real-time tracing and observability features to help optimize your AI applications instantly.