AgentEval vs Promptfoo
Detailed side-by-side comparison to help you choose the right tool
AgentEval
🔴DeveloperVoice AI Tools
Comprehensive .NET toolkit for AI agent evaluation featuring fluent assertions, stochastic testing, model comparison, and security evaluation built specifically for Microsoft Agent Framework
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FreePromptfoo
🔴DeveloperLLM Evaluation & Testing
Open-source LLM evaluation and red-teaming framework for testing prompts, models, and agents locally or in CI.
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FreeFeature Comparison
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💡 Our Take
Choose AgentEval for enterprise .NET agent testing with fluent C# assertions, MAF-native tool-call tracking, and PDF compliance exports for auditors. Choose PromptFoo if you prefer a YAML-driven, language-agnostic CLI that works across any stack, value its larger library of red-team templates, or need to evaluate prompts rather than full agent tool chains.
AgentEval - Pros & Cons
Pros
- ✓Native .NET integration with full type safety and compile-time error checking, unlike Python alternatives that rely on runtime exceptions
- ✓Red Team module ships with 192 attack probes across 9 attack types covering 60% of OWASP LLM Top 10 2025 with MITRE ATLAS technique mapping
- ✓Stochastic evaluation asserts on pass rates across N runs (e.g., 10 runs at 85% threshold) for statistically meaningful results
- ✓Trace record/replay eliminates API costs in CI — record once with real API, replay infinitely for free with identical outputs
- ✓Model comparison generates markdown leaderboards with cost/1K-request rankings across GPT-4o, GPT-4o Mini, Claude, and other providers
- ✓MIT licensed with explicit public commitment to remain open source forever — no bait-and-switch license changes
- ✓27 detailed samples included from Hello World through Multi-Agent Workflows and Cross-Framework evaluation
- ✓First-class Microsoft Agent Framework (MAF) integration with automatic tool call tracking and token/cost telemetry
Cons
- ✗.NET-only — Python, JavaScript, and Go teams cannot use it and must rely on DeepEval, PromptFoo, or LangSmith instead
- ✗Red Team coverage is 60% of OWASP LLM Top 10, leaving 40% of categories uncovered compared to specialized security scanners
- ✗Commercial/Enterprise add-ons are still in planning phase, so enterprises requiring vendor SLAs and paid support have no tier to purchase
- ✗Small community relative to Python-era evaluation tools means fewer third-party integrations, tutorials, and Stack Overflow answers
- ✗Stochastic evaluation can become expensive — 100 tests × 50 repetitions equals 5,000 LLM calls per run if trace replay is not used
- ✗Tight coupling to Microsoft Agent Framework concepts means evolving with Microsoft's roadmap rather than remaining provider-neutral
Promptfoo - Pros & Cons
Pros
- ✓Apache 2.0 local runner with CI-friendly configuration
- ✓Broad provider and assertion coverage
- ✓Evaluation and OWASP-oriented red teaming in one workflow
Cons
- ✗Good test datasets still require substantial human judgment
- ✗LLM-as-judge assertions add cost and evaluator bias
- ✗Hosted Team and Enterprise pricing is not publicly verified here
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