whylabs/langkit
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. 👀
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whylabs
whylabs • individual
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990
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75
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Created
Apr 26, 2023
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README Summary
LangKit is an open-source text metrics toolkit for monitoring language models. It offers an array of methods for extracting relevant signals from the input and/or output text, which are compatible with the open-source data logging library [whylogs](https://whylogs.readthedocs.io/en/latest).
Community Evaluation
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AI SafetyLarge Language Model MonitoringLLM Safety and SecurityML OperationsModel ObservabilityNatural Language ProcessingPrompt EngineeringSentiment AnalysisText AnalyticsText Quality Assessment
Tags
AI SafetyLarge Language Model MonitoringLLM Safety and SecurityML OperationsModel ObservabilityNatural Language ProcessingPrompt EngineeringSentiment AnalysisText AnalyticsText Quality AssessmentCurated ListDocument ProcessingForkedJupyterLarge Language ModelsPrompt InjectionPythonSecurity
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Updated 1 years ago
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beta- Quality
- medium
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- beta
Categories
RAG & RetrievalPrimaryDev Tools & AutomationLearning ResourcesSecurity & SafetyData Science & AnalyticsFoundation Models
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Safety & AlignmentProduct Discovery
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Jupyter Notebook100.0%
Timeline
- Project created
- Apr 26, 2023
- Forked
- Mar 21, 2026
- Your last push
- 1 years ago
- Upstream last push
- 1 years ago
- Tracked since
- Nov 22, 2024
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