Laminar

Laminar

Agent observability and evaluation platform — signal alerts, trace debugging, and automated evals for LLM products

Open source alternative to:LangSmith

Laminar is an AI-powered platform for engineering LLM products with 3k+ GitHub stars — a LangSmith alternative for agent observability, evaluation, and debugging.

Key features

Observability

  • Distributed tracing for LLM chains and agents
  • Signal alerts for anomalies and performance issues
  • Real-time monitoring of model quality and latency
  • Custom metrics and dashboards
  • Integration with OpenTelemetry

Evaluation & testing

  • Automated evals with custom scorers
  • Regression testing for prompt changes
  • Side-by-side comparison of model versions
  • Human-in-the-loop annotation
  • Dataset management for evals

Debugging

  • Trace visualization with input/output inspection
  • Error tracking and root cause analysis
  • Prompt version diffing
  • Latency breakdown by component
  • Cost attribution per trace

Developer experience

  • Python and TypeScript SDKs
  • REST API for custom integrations
  • Webhook alerts to Slack, Discord, email
  • Team collaboration and role-based access
  • Self-hosted and cloud options

At a glance

LicenseApache-2.0
StackPython, TypeScript, PostgreSQL
Self-hostedYes — Laminar OSS
Cloudlmnr.ai (managed)
TracingOpenTelemetry-compatible

Self-hosting

git clone https://github.com/lmnr-ai/lmnr.git

Laminar can be self-hosted for full control over your data. The cloud version provides managed infrastructure and automatic updates.

Screenshots

Laminar screenshot 1

Category

Developer Tools

Tags

aillmobservabilitytracing