Agent and LLM Observability Integrations

Laminar is an open-source, OpenTelemetry-native observability platform for AI agents. It auto-instruments LLM provider SDKs, agent frameworks, and browser agents, so you trace, debug, and monitor every call without changing your code. Initialize Laminar once and calls to OpenAI, Anthropic, LangChain, the Vercel AI SDK, and the rest of the integrations below are captured with full detail: prompts, responses, tool calls, tokens, latency, and cost. Each integration page below has setup steps for TypeScript and Python (where both are supported) and shows what Laminar captures. Pick the SDK or framework you use.

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LLM provider SDKs

Auto-instrumented provider clients. Initialize Laminar and every model call is traced.

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Agent frameworks

Multi-step agents, tool calls, and subagents render as a transcript instead of a raw span tree.

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Coding agents

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Browser and computer-use agents

Browser session recordings sync with the trace: scrub the video and the trace scrolls with it.

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Don’t see your SDK?

Laminar is OpenTelemetry-native, so it traces any LLM call or function you wrap yourself. Use the @observe decorator or create manual spans, and point any OTel-emitting code at Laminar. See Tracing Structure or jump to observe usage.

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Once your traces land