This repository contains the code snippets used in "LLM Prompt Engineering For Developers"

Kotlin + SpringBoot + Koog + Promptfoo example

Runtime-secured AI tooling framework for production-grade LLM applications, protecting against prompt injection, jailbreaks, and adversarial attacks.

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.

Community Plugin for Genkit to use Promptfoo

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.

Examples of how to use Docker Model Runner, Docker MCP Toolkit, and Promptfoo together to evaluate models, agents, and MCP servers

Sample project demonstrates how to use Promptfoo, a test framework for evaluating the output of generative AI models

AI security co-pilot skill for Claude Code - identify, test, and fix vulnerabilities in LLM-powered applications

A fun experiment using promptfoo for evaluating LLM responses on pizza order transcripts

Evaluation patterns, release gates, and anti-hallucination techniques for developer-focused AI workflows.

Quickstart guide for using PromptFoo to evaluate LLM prompts via CLI or Colab.

Red teaming a banking and finance llm assistant

Config-driven CLI that runs promptfoo evals, identifies low-scoring prompts, rewrites them via Claude API, and re-evaluates.

Integrating promptfoo into CI/CD pipelines to automatically evaluate prompts, test for security vulnerabilities, and ensure quality before deployment.

Sample implementation demonstrating how to use Firebase Genkit with Promptfoo

Agent-based pipeline for meal image analysis with guardrails, structured output generation, safety filtering, and Promptfoo benchmarking.

Prompt-based tone classification with LLMs using Promptfoo evaluation.

This repo consist of exploratory work related to AI pen testing using open source versions of garak, promptfoo