repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 23h ago
promptfoo/promptfoo
Test your prompts, agents, and RAGs. Red teaming/pentesting/vulnerability scanning for AI. Compare performance of GPT, Claude, Gemini, DeepSeek, and more. Simple declarative configs with command line and CI/CD integration. Used by OpenAI and Anthropic.
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 64%PromptLab →
- PossiblePossibly related (embedding) · 51%A system-level approach to prompt injection: separating instruction and data channels in LLM agents [P] →
- PossiblePossibly related (embedding) · 50%Prompt injection is exploiting enterprise AI's biggest design flaws by targeting agents, RAG pipelines and model routers →
- PossiblePossibly related (embedding) · 47%AgentTrace →
- PossiblePossibly related (embedding) · 46%SWE-Doctor: Guiding Software Engineering Agents with Runtime Diagnosis from Multi-Faceted Bug Reproduction Tests →
- PossiblePossibly related (embedding) · 52%Test solution uses agentic AI to turn natural language prompts into customized instruments - Military Embedded Systems →
- PossiblePossibly related (embedding) · 53%115 Blog Posts To Learn About Automated Testing - HackerNoon →
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newsPrompt injection is exploiting enterprise AI's biggest design flaws by targeting agents, RAG pipelines and model routerstoolPromptLabnews115 Blog Posts To Learn About Automated Testing - HackerNoonpaperSWE-Doctor: Guiding Software Engineering Agents with Runtime Diagnosis from Multi-Faceted Bug Reproduction TestsnewsTest solution uses agentic AI to turn natural language prompts into customized instruments - Military Embedded SystemsnewsA system-level approach to prompt injection: separating instruction and data channels in LLM agents [P]toolAgentTrace