AutoResearch + PromptFoo = AutoPrompter. Run it with Neo AI Engineer
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Updated
Apr 16, 2026 - Python
AutoResearch + PromptFoo = AutoPrompter. Run it with Neo AI Engineer
Your guide to the Agentic AI evolution. **Prompting Blueprints** offers a curated collection of concepts and tactics for building autonomous AI workflows. Master tool-specific playbooks, backed by structured prompt packs and rigorous evaluations for the latest AI models.
This repository contains the code snippets used in "LLM Prompt Engineering For Developers"
FinSecAI: An experimental testbed for evaluating Prompt Injection, Jailbreak, and data extraction vulnerabilities in financial LLM agents via MCP and Ollama.
AI customer-support agent that approves, denies or escalates refunds. The LLM proposes, deterministic code decides. 100% policy-correct on 83 golden evals, 0 breaches in 120 red-team attacks, load-tested to 2,500 users. LangGraph + FastAPI + React.
prompt-evaluator is an open-source toolkit for evaluating, testing, and comparing LLM prompts. It provides a GUI-driven workflow for running prompt tests, tracking token usage, visualizing results, and ensuring reliability across models like OpenAI, Claude, and Gemini.
Community Plugin for Genkit to use Promptfoo
Agent 测试转型手册:资深自动化测试工程师的 AI QE 学习路径 + 练手代码
Orchestrator/sub-agent RCA system with a production-grade eval and observability harness — LangGraph agents, Ragas/Promptfoo evals, OTel tracing.
面向开发者的中文 Eval Harness 源码教材:解析 lm-evaluation-harness、Inspect AI、OpenAI Evals、Promptfoo、DeepEval 与 Harbor,覆盖任务、运行、评分、统计与发布门禁。
Avaliação de qualidade e segurança (Go/No-Go) da assistente virtual Lia (LLM) para a loja Pop & Doce. Projeto final do Hackathon AWS AI FDE, envolvendo avaliação automatizada, Red Teaming e engenharia de prompt.
VCL VibeBench — open frontier-model comparisons you can fork and re-run. By Vibe Coder's Life.
Compare models across prompts, test domains, and scenarios.
AI Testing Framework using Promptfoo for automated LLM evaluation, red teaming, and CI/CD integration with Jenkins. Supports prompt validation, security testing, custom assertions, API-based model testing, and quality gates for enterprise GenAI applications.
AISRF, the AI Security & Research Framework: every LLM request from your apps and agents becomes a ticket a human approves before it reaches the backend. Analyzers, guardrails (Rebuff, LLM Guard, NeMo, Lakera), red teaming (garak, promptfoo, PyRIT), source code review, reports, MCP server.
Python + SQL toolkit for LLM threat intelligence — flags prompt injection, jailbreaks, and data exfiltration mapped to OWASP LLM Top 10 (2025) & MITRE ATLAS.
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