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Part 5: Agent Evals: Trajectory Validation & Automated Benchmarking

Comprehensive evaluation frameworks for AI agents: LLM-as-a-judge trajectory grading, tool-call accuracy, multi-turn regression testing, and CI/CD gates.

August 21, 2026 · 1 min · Lê Tuấn Anh

Part 5: Agent Evals: Trajectory Validation & Automated Benchmarking

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Answer-first: Traditional single-turn evaluation metrics (BLEU, ROUGE) are useless for multi-step agents. Production eval pipelines evaluate Trajectory Efficiency (minimum tool steps to completion), State Invariant Compliance, and Negative Constraint Enforcement.