All Tools
L
MonitoringFreeOpen Source
LAMINAR
Open-source observability for AI agents
Apache-2.0
ABOUT
AI agents are complex, long-running, and non-deterministic — traditional monitoring tools designed for deterministic API calls and CRUD apps fall short. Developers can't trace agentic decision loops, evaluate tool-call quality, or detect regressions across versions. Laminar solves this with OpenTelemetry-native tracing purpose-built for agentic workflows, natural-language monitoring signals, and integrated evals that let you ship reliable agents 10x faster.
INSTALL
pip install lmnr
npm install @lmnr/lmnr
INTEGRATION GUIDE
1. Trace complex multi-step agentic workflows with OpenTelemetry-native instrumentation in one line of code
2. Run evaluations on agent outputs and compare results across different model versions or configurations
3. Define custom monitoring signals with natural language to track issues, logical errors, and agent behavior
4. Query all traces, metrics, and events with a built-in SQL editor for deep debugging and analysis
5. Build custom dashboards to visualize agent performance and reliability over time at scale
TAGS
observabilitymonitoringai-agentstracingevaluationsopen-source