v0.0.35

LangKit release v0.0.35

🔍 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]

v0.0.34

LangKit release v0.0.34

🔍 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]

v0.0.33

LangKit release v0.0.33

🔍 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]

v0.0.32

LangKit release v0.0.32

🔍 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]

v0.0.31

LangKit release v0.0.31

🔍 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]

v0.0.30

LangKit release v0.0.30

🔍 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]

v0.0.29

LangKit release v0.0.29

🔍 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:

• Add vader_sentiment support #218 [@jamie256]
• deprecate OpenAIDavinci and add OpenAILegacy #216 [@FelipeAdachi]
• Add PII module #217 [@FelipeAdachi]
• Injections example - replacing deprecated openai model #214 [@FelipeAdachi]
• Adds example segmenting on a validation column produced post-UDF #153 [@richard-rogers]
• Jailbreak and Prompt Injection Example Notebook #211 [@FelipeAdachi]
• Bump version to 0.0.28 #210 [@w0-automator]

v0.0.28

LangKit release v0.0.28

🔍 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 description, minor cleanup of README.md and tests #209 [@jamie256]
• Openai client compatibility with both v0 and v1 #208 [@FelipeAdachi]
• Proactive Injection Detection #201 [@FelipeAdachi]
• better prompt for llm consistency check #206 [@FelipeAdachi]
• add extract scenario to Logging_Text.ipynb #203 [@FelipeAdachi]
• Bump version to 0.0.27 #202 [@w0-automator]

v0.0.27

LangKit release v0.0.27

🔍 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:

• Feature extraction - wrapper around schema.apply_udf #198 [@FelipeAdachi]
• CUDA benchmarks #194 [@richard-rogers]
• Bump version to 0.0.26 #200 [@w0-automator]

v0.0.26

LangKit release v0.0.26

🔍 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:

• Add support for Azure OpenAI hosted models #199 [@jamie256]
• Control GPU usage in injections module #193 [@richard-rogers]
• Bump version to 0.0.25 #192 [@w0-automator]