Agent Evaluation
Best AI Agent Evaluation Tools in 2026
Evaluation tooling helps teams catch regressions in tool use, retrieval, reasoning quality, cost, and latency before agents reach users.
Search intent: Build an evaluation workflow for agents that can change state, call tools, and fail in non-deterministic ways.
Last reviewed
May 11, 2026
Tools considered
3
Open source options
2
Definition
Agent evaluation measures a full run, not just a final answer: inputs, tool calls, retrieved context, intermediate decisions, and outcome.
Use cases
- Regression tests for prompt and model changes
- Offline eval sets for high-risk workflows
- Production monitoring of tool errors and answer quality
Selection criteria
- Can traces be linked to eval cases?
- Can judges see tool calls and retrieved evidence?
- Does it support cost and latency checks alongside quality?
Selection advice
Do not wait for a perfect benchmark. Start with a small, real eval set that includes failure cases from your product.