L
langkit
whylabs/langkit
🔍 LangKit: An open-source toolkit for monitoring Large Language Models (LLMs). 📚 Extracts signals from prompts & responses, ensuring safety & security. 🛡️ Features include text quality, relevance metrics, & sentiment analysis. 📊 A comprehensive tool for LLM observability. 👀
★994stars
Jupyter Notebook
Apache-2.0
Updated: 3d ago
📋 Project at a Glance
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What's this?A , built with Jupyter Notebook open-source project in the Security & Governance category, core strengths: large-language-models/machine-learning
Who made it?Maintained by whylabs team, 994⭐ on GitHub, #124 out of 413 in Security & Governance
Why does it exist?As the Security & Governance landscape evolved, the whylabs team identified the need for better large-language-models solutions. langkit was created to simplify machine-learning workflows.
What can it do?Key use cases: nlg, nlp, observability
How to install with AI?Use an AI coding assistant to follow the README and automatically handle the install and environment setup.
🔗 github.com/whylabs/langkit | 官网 https://whylabs.ai
🔗 github.com/whylabs/langkit | 官网 https://whylabs.ai
Topics
large-language-modelsmachine-learningnlgnlpobservabilityprompt-engineeringprompt-injection