Laminar
Ship reliable AI products with unified LLM monitoring
Target Audience
- LLM engineering teams
- AI product developers
- CTOs overseeing AI deployments
Hashtags
Overview
Laminar helps teams build better AI products by automatically tracking every step of their LLM applications. It gives engineers visibility into AI performance while collecting data to catch errors, maintain accuracy, and improve models over time. Teams can start monitoring their AI features with just 2 lines of code, making it easy to implement without slowing down development.
Key Features
Tracing
Auto-tracks LLM executions across frameworks
Evaluations
Maintains model accuracy during rapid iteration
Performance Monitoring
Catches errors in real-world LLM deployments
Open-Source
Customizable platform for developer teams
Use Cases
Monitor production LLM features
Evaluate model update performance
Collect training data from live usage
Pros & Cons
Pros
- Unified platform for tracing + evaluation
- Minimal code integration (2 lines)
- Open-source flexibility
- Responsive developer team
Cons
- Specialized for LLMs (not general AI)
- Requires technical implementation expertise
Frequently Asked Questions
What LLM frameworks does Laminar support?
Automatically traces common LLM frameworks and SDKs, though specific supported tools aren't listed
Is Laminar open-source?
Yes, it's a unified open-source platform for LLM monitoring
How difficult is integration?
Can start tracing with just 2 lines of code according to documentation
Reviews for Laminar
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