Repository History
6 repositories tagged with prompt-engineering
PromptBench: A Unified Framework for LLM Evaluation and Robustness
PromptBench is a comprehensive Python library designed for the evaluation and understanding of Large Language Models (LLMs). It provides a unified framework for assessing model performance, exploring various prompt engineering techniques, and evaluating robustness against adversarial attacks. This tool empowers researchers to conduct in-depth analyses of LLMs across diverse datasets and models.
Loop Engineering: Orchestrating AI Agents with Practical Patterns and Tools
Loop Engineering is a GitHub repository offering practical patterns, starters, and CLI tools for building robust AI coding agent systems. It shifts the focus from individual prompt crafting to designing control systems that orchestrate agents over time. This project empowers developers to create autonomous, iterative AI workflows for various development tasks.
Claude Code System Prompts: Deconstructing Agentic AI Coding Assistants
This repository offers a deep dive into the inner workings of modern agentic AI coding assistants. It reconstructs prompt patterns, agent coordination strategies, and security mechanisms, providing insights into how tools like Claude Code operate. The project serves as a valuable resource for understanding the architectural patterns behind these advanced AI systems.
APM: Agent Package Manager for AI Agents
APM, the Agent Package Manager, is an open-source, community-driven dependency manager designed specifically for AI agents. It aims to standardize and streamline the configuration of AI coding agents, making their context portable, secure, and reproducible across different environments. This tool addresses the challenge of manually setting up agent dependencies by providing a manifest-driven approach, similar to traditional package managers like npm or pip.
Promptfoo: LLM Evaluation and Red Teaming for AI Applications
Promptfoo is an open-source CLI and library designed for evaluating and red-teaming Large Language Model (LLM) applications. It enables developers to test prompts, agents, and RAGs, compare model performance, and secure AI apps through vulnerability scanning. With simple declarative configs and CI/CD integration, Promptfoo helps ship reliable and secure AI solutions.
Awesome Copilot: Supercharge Your GitHub Copilot Experience
Discover `awesome-copilot`, a community-driven repository designed to enhance your GitHub Copilot experience. It offers a rich collection of custom agents, prompts, instructions, and skills to boost productivity and ensure best practices. Leverage this toolkit to tailor Copilot to your specific coding needs across various domains and languages.