Comparisons anchored on promptfoo, the MIT-licensed LLM eval and red teaming CLI now part of OpenAI.
Declarative test configs in CI against a Python framework for multi-turn attacks: promptfoo's OWASP LLM Top 10 plugins and pipeline checks versus PyRIT's converters, scorers and Crescendo or TAP attacks. Verdict by whether you test releases or run deep manual red team exercises.
What the free promptfoo Community edition covers against paid Enterprise: the evaluation and red teaming features both share, the 10k monthly probe allowance, and the team sharing, RBAC, SSO, continuous monitoring and integrations that only the Enterprise tiers include.
promptfoo Enterprise as the vendor-run SaaS against promptfoo Enterprise On-Prem in your own cloud: who operates it, where red team scans execute, network isolation and data control, and how both differ from running the free self-hosted promptfoo server.
Two red teaming tools that map tests to OWASP and NIST AI RMF: promptfoo's declarative configs and CLI under OpenAI ownership against DeepTeam's Python API on DeepEval, compared on attack coverage, agent testing, guardrails and the commercial platform behind each.
Config-driven red teaming and evals in CI against Giskard v3's Python checks and agent vulnerability scan: language fit (Node CLI or Python 3.12 library), how each generates attacks, and which suits a team that already writes Python tests.
Which tool can gate a release: promptfoo's documented GitHub Actions, GitLab and Jenkins setups, --fail-on-error and JUnit output against garak's JSONL reports and hit logs, and how teams combine a pipeline gate with deeper periodic model scans.
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