Open-source evaluation and security testing for prompts, models, RAG systems, and agents
Who should use this?
Engineering teams adding AI tests to CI and Security teams red-teaming LLM applications.
Who should avoid it?
Teams without labeled acceptance criteria, Buyers seeking one universal quality score
What problem does it solve?
Promptfoo brings repeatable evals, model comparisons, assertions, red teaming, and CI gates to AI development, but test-set quality, judge calibration, sensitive traces, and remediation ownership determine its value.
Would I recommend it?
Promptfoo earns a shortlist for engineering and security teams that want evals in source control and CI. Begin with a small human-labeled suite, favor deterministic assertions where possible, and treat red-team results as a triage input rather than a compliance certificate.
Advisor score
Premium review framework
Promptfoo brings repeatable evals, model comparisons, assertions, red teaming, and CI gates to AI development, but test-set quality, judge calibration, sensitive traces, and remediation ownership determine its value.
Promptfoo earns a shortlist for engineering and security teams that want evals in source control and CI. Begin with a small human-labeled suite, favor deterministic assertions where possible, and treat red-team results as a triage input rather than a compliance certificate.
Take 100 production-like cases and 30 human-labeled failures. Compare deterministic checks, two model judges, and blinded human review. Add prompt injection, data exposure, harmful action, tool abuse, and policy cases. Measure judge agreement, false passes, false blocks, reproducibility, runtime, cost, secret handling, and remediation time.
Personal Recommendation
Promptfoo earns a shortlist for engineering and security teams that want evals in source control and CI. Begin with a small human-labeled suite, favor deterministic assertions where possible, and treat red-team results as a triage input rather than a compliance certificate.
Try the recommendation
Open-source local workflow
Overall Score
Editorial Review Framework
Who should use this?
Engineering teams adding AI tests to CI, Security teams red-teaming LLM applications, Builders comparing prompts and providers.
Who should avoid it?
Teams without labeled acceptance criteria, Buyers seeking one universal quality score
What problem does it solve?
Promptfoo brings repeatable evals, model comparisons, assertions, red teaming, and CI gates to AI development, but test-set quality, judge calibration, sensitive traces, and remediation ownership determine its value.
Would I recommend it?
Promptfoo earns a shortlist for engineering and security teams that want evals in source control and CI. Begin with a small human-labeled suite, favor deterministic assertions where possible, and treat red-team results as a triage input rather than a compliance certificate.
Overall Score
8.0
Ease of Use
7.8
AI Quality
8.0
Features
8.4
Speed
8.0
Integrations
8.4
Value for Money
8.0
Customer Support
7.6
Learning Curve
7.4
Recommended Because…
Open-source local workflow
Scores use a 0-10 editorial scale. The source data is maintained as 5-point review dimensions, then normalized for reader-friendly comparison.
Evaluation
Research-based
Price posture
freemium
Reviewed
2026-09-01
No authentic product screenshot is published for this review. DiscoverAI does not use generated interface images as product evidence.
Promptfoo's open-source CLI can run without a software subscription, while hosted collaboration and enterprise security offerings use current plan limits or sales-led pricing that should be confirmed directly. Evaluation model calls, target systems, CI compute, storage, and red-team generation create separate costs. Reviewed September 1, 2026.
Free plan: Yes. The core open-source CLI supports local evaluation and red teaming; external model and target usage is billed by those providers.
Yes. The core CLI is open source; model calls, infrastructure, hosted collaboration, and enterprise services can add cost.
Yes. Its red-team framework includes prompt-injection and other vulnerability strategies, which should be supplemented with application-specific attacks.
Yes. Tests can run in CI and gate changes using configured assertions and thresholds.
No tool can provide that guarantee. Its results cover the configured targets, attacks, models, and test period and require human triage and remediation.
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