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

Kotlin + SpringBoot + Koog + Promptfoo example

Prompting Blueprints is your playbook of copy-ready prompt patterns, curated prompt packs, AI agent tactics, model/tool guides, and promptfoo evaluations for delivering structured LLM outputs fast.

Community Plugin for Genkit to use Promptfoo

This repository demonstrates how to perform LLM prompt evaluation, deterministic testing, and regression detection using PromptFoo. It is designed to help developers, researchers, and QA teams ensure that prompt or model updates produce consistent and reliable results.

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

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

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

Virtual Teaching Assistant (Virtual TA) is an innovative, intelligent and automated assistant designed specifically for the Tools in Data Science (TDS) course offered by the IIT Madras Online Degree Program. This cutting-edge system revolutionizes the learning experience by providing students with accurate, context-aware answers to their questions.

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

Red teaming a banking and finance llm assistant

Prompt-based tone classification with LLMs using Promptfoo evaluation.

Sample implementation demonstrating how to use Firebase Genkit with Promptfoo

FastAPI-based virtual teaching assistant