ToolMeshToolMesh
L

laminar

★3.6
💬1174
💲Freemium

Laminar offers a comprehensive platform for developers to trace, evaluate, and optimize AI applications in real time. With automatic integration, browser-based debugging, and evaluation tools, it streamlines the development and monitoring of LLM-powered systems.

💻
Platform
web
AI MonitoringAI ObservabilityBrowser AgentDebuggingEvaluationFine-tuningLLM Observability

What is laminar?

Laminar is an open-source platform for tracing and evaluating AI applications. It helps developers build, deploy, and monitor advanced AI apps with features like real-time observability, browser agent debugging, and evaluation tools. Designed for reliability and scalability, it supports LLM frameworks and provides insights into AI pipeline performance.

Core Technologies

  • LLM Observability
  • AI Monitoring
  • Tracing
  • Open Source
  • Browser Agent
  • Evaluation

Key Capabilities

  • Automatic tracing of LLM frameworks
  • Real-time trace monitoring
  • Browser-based observability
  • Evaluation datasets management
  • Prompt engineering support

Use Cases

  • Debugging AI application behavior
  • Monitoring model performance over time
  • Fine-tuning models using evaluation data
  • Testing prompts in the LLM playground
  • Tracking pipeline execution with spans

Core Benefits

  • Open-source and customizable
  • Minimal setup required
  • Supports complex AI pipelines
  • Enables prompt engineering and fine-tuning
  • Offers real-time debugging capabilities

Key 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

How to Use

  1. 1
    Initialize Laminar in your project with one line of code
  2. 2
    Allow automatic tracing of LLM frameworks and SDKs
  3. 3
    Use the `observe` function to manually trace any function
  4. 4
    Monitor real-time traces and logs
  5. 5
    Access browser agent observability for debugging

Pricing Plans

Free

0 / month
50K spans / month, 15 day data retention, 1 team member, 500 Index agent steps / month, Community support

Hobby

$25 / month
100k spans / month (then $5 per 100k of additional spans), 30 day data retention, 2 team members, 2500 Index agent steps / month (then $10 per 1k steps), Priority email support

Pro

$50 / month
200k spans / month included (then $5 per 100k of additional spans), 90 day data retention, 3 team members included (then $25 per additional team member), 5000 Index agent steps / month (then $10 per 1k steps), Private Slack channel

Frequently Asked Questions

Q.What is Laminar used for?

A.Laminar is used for tracing, evaluating, and monitoring AI applications, especially those built with LLMs.

Q.Is Laminar open source?

A.Yes, Laminar is an open-source platform that can be self-hosted.

Q.Can I use Laminar for real-time debugging?

A.Yes, Laminar provides real-time traces and browser agent observability for debugging AI apps.

Q.Does Laminar support multiple team members?

A.Yes, but only the Hobby and Pro plans allow for more than one team member.

Pros & Cons (Reserved)

✓ Pros

  • Open-source and self-hostable
  • Automatic tracing with minimal code
  • Real-time observability
  • Comprehensive tools for evaluation and fine-tuning
  • Browser agent observability for debugging

✗ Cons

  • May require technical expertise to set up and maintain
  • Pricing tiers may limit usage for some users
  • Reliance on community support for the free tier

Alternatives

No alternatives found.