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TrustLLM

[ICML 2024] TrustLLM: LLM trustworthiness evaluation across truthfulness, safety, fairness, robustness, privacy and ethics. Python/CLI toolkit for local models, compatible APIs and AI agent orchestration.

AgentPick Score 53/100#239 in Agent building★ 632 GitHub starsMITUpdated 4 Oct 2026Python

Ranked by AgentPick Score, our data score from public GitHub activity. Description is the project's own.

Topics: ai, ai-agents, benchmark, dataset, evaluation, hallucination, large-language-models, llm, llm-benchmark, llm-evaluation, llm-safety, natural-language-processing

Starter prompt

Try TrustLLM on one small, low-risk task: [task]. Tell me what worked, what didn't, and how long it took.
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