# Evaluating an AI agent is not evaluating an LLM call:
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I compared six tools for evaluating AI agents: LangSmith, Galileo, Arize Phoenix, Braintrust, Future AGI, and Langfuse. My thesis, up front so you can argue with it early: the mistake that wastes the most time is grading the agent's final answer like it is a single LLM call. An agent has a trajectory, which tools it called, in what order, how it recovered, and a wrong final answer and a right-by-luck final answer look identical until you score the path. Here is the rundown as of June 2026. The…
1Key Takeaways
- I compared six tools for evaluating AI agents: LangSmith, Galileo, Arize Phoenix, Braintrust, Future AGI, and Langfuse.
- My thesis, up front so you can argue with it early: the mistake that wastes the most time is grading the agent's final answer like it is a single LLM call.
- An agent has a trajectory, which tools it called, in what order, how it recovered, and a wrong final answer and a right-by-luck final answer look identical until you score the path.
- Here is the rundown as of June 2026.
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that i compared six tools for evaluating AI agents: LangSmith, Galileo, Arize Phoenix, Braintrust, Future AGI, and Langfuse.
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