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Observability with Laminar

This tutorial covers how to integrate goose with Laminar to trace your goose sessions and understand how the agent is performing.

What is Laminar​

Laminar is an open-source observability platform purpose-built for AI agents. It traces LLM calls, tool execution, and custom functions so you can debug, evaluate, and improve agent behavior.

Why Laminar for goose​

  • High-signal traces for LLM calls, tools, and sub-agents.
  • Replay any span in the Playground to compare prompts and models.
  • Build datasets from production traces and run evaluations.
  • Analyze trace patterns with natural language queries and dashboards.

Set up Laminar​

Sign up for Laminar Cloud at laminar.sh or self-host Laminar from the open-source repo. Grab your project API key.

Configure goose to export OTLP to Laminar​

goose exports OpenTelemetry data over OTLP/HTTP. Point the exporter to Laminar and provide your API key as an authorization header.

Laminar Cloud​

export LMNR_PROJECT_API_KEY=lmnr_proj_...
export OTEL_EXPORTER_OTLP_ENDPOINT="https://api.lmnr.ai"
export OTEL_EXPORTER_OTLP_HEADERS="authorization=Bearer ${LMNR_PROJECT_API_KEY}"
export OTEL_EXPORTER_OTLP_TIMEOUT=10000

Self-hosted Laminar​

export LMNR_PROJECT_API_KEY=lmnr_proj_...
export OTEL_EXPORTER_OTLP_ENDPOINT="http://localhost:8000"
export OTEL_EXPORTER_OTLP_HEADERS="authorization=Bearer ${LMNR_PROJECT_API_KEY}"

If your self-hosted instance does not require auth, you can omit OTEL_EXPORTER_OTLP_HEADERS.

tip

If you do not see traces, try setting the endpoint to the explicit OTLP path, such as https://api.lmnr.ai/v1/traces or http://localhost:8000/v1/traces.

Run goose with Laminar enabled​

Start goose normally. With the OTLP environment variables set, Laminar will capture traces of your goose sessions and tool execution.

Example trace (public) in Laminar

goose trace in Laminar