LangKit
LangKit is an open-source toolkit designed for monitoring Large Language Models (LLMs). It provides a comprehensive set of tools to extract signals from prompts and responses, ensuring safety and security in the deployment of language models.
Key Features:
- Text Quality Metrics: Evaluate the readability and complexity of text outputs.
- Relevance Metrics: Measure similarity scores between prompts and responses, and against user-defined themes.
- Security and Privacy: Analyze patterns for potential vulnerabilities, including prompt injections and known jailbreak attempts.
- Sentiment and Toxicity Analysis: Assess the sentiment and toxicity levels of generated text.
Benefits:
- Enhanced Observability: Gain insights into model behavior and performance.
- Risk Mitigation: Identify and address potential risks associated with LLM outputs.
- Integration with Whylogs: Seamlessly integrate with the whylogs data logging library for comprehensive monitoring.
LangKit is essential for organizations looking to ensure the reliability and safety of their language models in production environments.
