Tech riderRev. 4 Oct 2026

Strands Evals

Ch 097.2of 29 AI Agent Evaluation Tools

1Runs onAPI, Linux, Mac, self-hosted, Windows
2CostsFree plan
3Evaluation methodshybrid
4Tool-call checksYes
5Trace ingestionYes
6Safety evaluationsYes
7Regression runsYes
8SDK language supportpython

8 lines stated Written from the maker's own pages: strandsagents.com

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Overview

Strands Evals is ranked #9 of 29 in AI agent evaluation tools on Specifiction. It runs on API, Linux, macOS, Self-hosted, Windows. There is a free plan.

Strands Evals plans and pricing

All plans

Strands Evals SDK Free Open-source Python SDK and CLI · install with pip · model-provider and trace-provider access may require separate credentials or services strandsagents.com · 4 Oct 2026

Compared on AI agent evaluation tools

Evaluation methods: hybridstrandsagents.com
Tool-call checks: Yesstrandsagents.com
Trace ingestion: Yesstrandsagents.com
Safety evaluations: Yesstrandsagents.com
Regression runs: Yesstrandsagents.com
SDK language support: pythonstrandsagents.com

Facts

Purpose: Strands Evals measures agent behavior before shipping and after deployment by scoring outputs and trajectories, diagnosing failures, probing unsafe behavior, and simulating users and tools.strandsagents.com · 4 Oct 2026
SDK and CLI: The package installs with pip as strands-agents-evals and provides both a Python API and the strands-evals command-line interface.strandsagents.com · 4 Oct 2026
Evaluation levels: Evaluators can assess a single output, tool call, trace, or full session, and multiple evaluators can be combined in one experiment.strandsagents.com · 4 Oct 2026
Built-in evaluators: Built-in evaluator groups cover quality, safety, multimodal responses, agentic behavior, and skill selection and instruction following.strandsagents.com · 4 Oct 2026
Deterministic checks: Deterministic evaluators run code-based checks without an LLM judge and include Equals, Contains, StartsWith, ToolCalled, StateEquals, and SkillInvoked.strandsagents.com · 4 Oct 2026
Custom evaluators: Developers can implement domain-specific evaluation logic by extending the base Evaluator class.strandsagents.com · 4 Oct 2026
Test generation and CI: The CLI can generate experiments, validate experiment JSON, run evaluations, render reports, and diagnose sessions; its documentation shows validation and evaluation steps in a CI workflow.strandsagents.com · 4 Oct 2026
Trace integrations: Trace providers fetch data from AWS CloudWatch Logs, Langfuse, and OpenSearch, with optional package extras for Langfuse and OpenSearch.strandsagents.com · 4 Oct 2026
Trace mapping: Session mappers include support for Strands in-memory spans, LangChain OpenTelemetry spans, and OpenInference instrumentation such as Arize Phoenix.strandsagents.com · 4 Oct 2026
Default judge: The quickstart states that evaluators use Amazon Bedrock with Claude as the default judge model, and that running its example requires credentials authorized to invoke Claude.strandsagents.com · 4 Oct 2026
Local and remote use: The SDK can run evaluations against production or staging traces without rerunning the agents that produced them.strandsagents.com · 4 Oct 2026
Experimental feature: The red-teaming API is marked experimental and may change in a minor release.strandsagents.com · 4 Oct 2026
License: The maker’s announcement identifies Strands Agents as an open-source project licensed under Apache License 2.0.strandsagents.com · 4 Oct 2026
Intended users: The SDK is presented for developers who want to validate agent behavior, measure improvements, and evaluate agents during development cycles.strandsagents.com · 4 Oct 2026