Langkit

Latest version: v0.0.35

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0.0.35

🔍 LangKit: An open-source toolkit for monitoring Language Learning Models (LLMs). 📚 Extracts signals from prompts & responses, ensuring safety & security. 🛡️ Features include text quality, relevance metrics, & sentiment analysis. 📊 A comprehensive tool for LLM observability. 👀
This version includes:

- Fix rolling logger schema 318 [jamie256]
- Notebook updates for opt-in upload on log() 313 [richard-rogers]
- Bump version to 0.0.34 317 [w0-automator]

0.0.34

🔍 LangKit: An open-source toolkit for monitoring Language Learning Models (LLMs). 📚 Extracts signals from prompts & responses, ensuring safety & security. 🛡️ Features include text quality, relevance metrics, & sentiment analysis. 📊 A comprehensive tool for LLM observability. 👀
This version includes:

- Update to whylogs 1.5 316 [richard-rogers]
- Bump version to 0.0.33 312 [w0-automator]

0.0.33

🔍 LangKit: An open-source toolkit for monitoring Language Learning Models (LLMs). 📚 Extracts signals from prompts & responses, ensuring safety & security. 🛡️ Features include text quality, relevance metrics, & sentiment analysis. 📊 A comprehensive tool for LLM observability. 👀
This version includes:

- Replace textstat with whylabs-textstat 311 [jamie256]
- Add updated LangKit readme image 309 [jamie256]
- Update Local_Models example to install version 0.0.32 or greater 308 [jamie256]
- Bump version to 0.0.32 307 [w0-automator]

0.0.32

🔍 LangKit: An open-source toolkit for monitoring Language Learning Models (LLMs). 📚 Extracts signals from prompts & responses, ensuring safety & security. 🛡️ Features include text quality, relevance metrics, & sentiment analysis. 📊 A comprehensive tool for LLM observability. 👀
This version includes:

- Update textstat code snippet 306 [jamie256]
- update pip install in injection example 305 [catel22]
- local models 233 [FelipeAdachi]
- Bump version to 0.0.31 248 [w0-automator]

0.0.31

🔍 LangKit: An open-source toolkit for monitoring Language Learning Models (LLMs). 📚 Extracts signals from prompts & responses, ensuring safety & security. 🛡️ Features include text quality, relevance metrics, & sentiment analysis. 📊 A comprehensive tool for LLM observability. 👀
This version includes:

- Update response consistency notebook example to use GPT 3.5 247 [jamie256]
- response hallucination - expose error caught when calling openai 246 [FelipeAdachi]
- Add configurable detoxify models to toxicity module 224 [FelipeAdachi]
- Bump version to 0.0.30 229 [w0-automator]

0.0.30

🔍 LangKit: An open-source toolkit for monitoring Language Learning Models (LLMs). 📚 Extracts signals from prompts & responses, ensuring safety & security. 🛡️ Features include text quality, relevance metrics, & sentiment analysis. 📊 A comprehensive tool for LLM observability. 👀
This version includes:

- injections - remove faiss dependency, embeddings v2 227 [FelipeAdachi]
- Bump version to 0.0.29 219 [w0-automator]

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