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Agent Tracing

Best Agent Tracing Tools in 2026

Tracing tools make agent runs inspectable: prompts, tool calls, retrieved context, errors, retries, cost, and latency.

Search intent: Choose tracing tooling for debugging production agents and explaining why a run made a decision.

Last reviewed

May 11, 2026

Tools considered

3

Open source options

2

Definition

Agent tracing records the execution path of a run so developers can debug decisions instead of guessing from the final response.

Use cases

  • Debugging failed tool calls
  • Reviewing retrieved evidence and intermediate messages
  • Monitoring latency and cost across model/tool steps

Selection criteria

  • Does the trace include tool arguments and outputs?
  • Can sensitive data be redacted before storage?
  • Can traces feed evaluation and support workflows?

Selection advice

Tracing should be installed before the first serious user pilot. Without traces, every agent bug becomes anecdotal.

Recommended tools

LangSmith

Best when teams need to connect traces, datasets, experiments, and production monitoring around agent quality.

Open

OpenAI Agents SDK

Best when the team already standardizes on OpenAI models and wants the shortest path from prototype to observable agent workflow.

Open

LangGraph

Best when agent behavior must be represented as explicit nodes, edges, state, and recovery paths.

Open