Strands Evals SDK

Strands Evals SDK is a powerful, comprehensive evaluation framework designed to validate, trace, and bench AI agents and LLM applications. It enables software teams to run simple output validations, trajectory evaluations, and multi-agent interaction analyses, utilizing dynamic simulators, LLM-as-a-judge scorers, and OpenTelemetry trace analysis to measure reliability.

Key Features of Strands Evals SDK

• Diverse Evaluation Modes: Supports output checking, trajectory and step matching, tool usage verification, and multi-turn conversations.
• Built-in LLM-as-a-Judge: Automates sophisticated evaluation criteria and structured scoring rubrics via language models.
• OpenTelemetry Tracing: Analyzes full agent execution pathways and tool interaction logs via OpenTelemetry exporter traces.
• Deterministic Chaos Testing: Simulates timeouts, network partitions, and tool failures through native plugin hooks without altering core agent logic.
• Red Team Evaluation: Includes experimental safety checking features targeting prompt injection resistance, GOAT, and PAIR attacks.

Benefits of Using Strands Evals SDK

• Robust Agent Guardrails: Catch execution and tool routing drift before deploying autonomous agents to production.
• Zero-Intrusion Chaos Engineering: Evaluate agent self-healing capability by cleanly injecting faults at the SDK wrapper level.
• Reproducible Experiments: Systematically save, load, and version test datasets using json-based execution summaries.

For AI engineers and QA teams building complex agent architectures, Strands Evals SDK offers a structured testing framework to inspect agent behavior, trace tool calls, and run automated safety and reliability checks.