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laminar

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

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AI Monitor AI Developer Tools Large Language Models (LLMs)AI Agent

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 for your needs. All plans include 24/7 support and regular updates.

Free

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

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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.

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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.

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Frequently Asked Questions

Find answers to common questions about laminar

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.