🐢 Open-Source Evaluation & Testing library for LLM Agents

The core python library of the Giskard framework for constraint- and optimization-based robot motion control.

💉 Collection of prompt injections used in the open-source Giskard Scan

Test LLMs automatically with Giskard and CI/CD

📸 Open-Source Evaluation & Testing for Computer Vision AI systems

Practical Jupyter notebooks from Andrew Ng and Giskard team's "Red Teaming LLM Applications" course on DeepLearning.AI.

Giskard demo notebooks 🧑🏽‍🏫

Open Source bot engine for Telegram bots and Facebook messenger bots

🛡️ Giskard Hub SDK: Enterprise platform for LLM agent testing with team collaboration & continuous red teaming

API Client to interact with the Giskard platform using code 💻

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A Python script that extends Giskard to test remote LLM APIs. Standard Giskard requires local models, but this script lets you test any HTTP API endpoint.

Remote-managed configuration of my home server using NixOS

A lightweight library that orchestrates LLM completions and agents in parallel workflows

✍️ Collaborate on writing technical content for the Giskard Community

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Transparent Privacy Policy describing how and why we might collect, store and use information provided when you use Giskard's services

Giskard automated Retrieval-Augmented Generation (RAG) answer evaluation

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Verified model of the Giskard consensus protocol in Coq

Giskard Documentation

A random collection of tools I find useful for data science.

Giskard LLM utils

Anne learns Robot Framework

Prototype of CI/CD functionality for Giskard.

This repository contains the notebook to detect vulnerabilities of Claude-V2 on AWS Bedrock using GPT4 and Giskard open-source library.

This package provides the core C++ library of giskard, a constraint and optimization-based framework for robot motion control.

Robot-specific configuration and launch-files to use giskard controllers on the PR2 robot.

GiskardFoundry is a modular, audit‑safe orchestration engine that unifies agents, prompts, and typed configuration into a deterministic local intelligence layer. It provides a stable public API and integrates seamlessly with domain modules.

Giskard Case study