Promptfoo vs Strands Evals

Promptfoo helps developers and enterprises evaluate prompts and test AI applications for security risks. It compares prompt outputs across multiple models in a web view. Red-team testing simulates users to look for prompt injections, jailbreaks, data leaks, business rule violations and insecure agent tool use. Its getting-started guide lists more than 60 providers, including OpenAI, Anthropic, Google and local models such as Ollama. Integrations include CI systems such as GitHub Actions, GitLab CI, Jenkins, Azure Pipelines, CircleCI and Bitbucket Pipelines, plus Splunk, Burp Suite, Google Sheets and MCP. Installation is available through npm, npx or Homebrew. Promptfoo requires Node.js 22.22.0 or newer and recommends Node.js 24 LTS. The free Community plan includes all LLM evaluation features and 10k red-team probes per month, and can run locally or be self-hosted. Enterprise includes managed cloud deployment; On-Premise runs on customer infrastructure. Promptfoo says it is based in San Francisco, is now part of OpenAI and remains open source.

Strands Evals is an open-source Python SDK and CLI for assessing AI agent behavior during development and after deployment. It scores outputs and trajectories, helps diagnose failures, probes unsafe behavior, and can simulate users and tools. Evaluators can target an output, tool call, trace, or full session, and several can be combined in an experiment. Built-in groups cover quality, safety, multimodal responses, agent behavior, and skill selection and instruction following. Deterministic checks run without an LLM judge; custom logic can be added by extending the Evaluator class. Install the package with pip as strands-agents-evals to use its Python API or the strands-evals command. The CLI can generate experiments, validate JSON, run evaluations, render reports, and diagnose sessions. Trace providers include AWS CloudWatch Logs, Langfuse, and OpenSearch. Evaluations can use production or staging traces without rerunning their agents. The quickstart uses Amazon Bedrock with Claude as its default judge and requires credentials authorized to invoke Claude. Red-teaming is marked experimental. The SDK is free and supports API, Linux, macOS, self-hosted, and Windows environments.