Langkit

🔍 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 duplicate init ResolverSpec registration warning in has_patterns 178 [jamie256]
- cleanup push-release workflow 176 [jamie256]
- Allow regexes UDF metric name to be configured in LangKitConfig 173 [jamie256]
- Fix typo in classname for langkit/response_hallucination.py 172 [richard-rogers]
- Update injection examples and tests 170 [jamie256]
- Align injections score name with column it is targeting 168 [jamie256]
- Hallucination example - small fixes 167 [FelipeAdachi]
- Bump version: 0.0.21 → 0.0.22 169 [jamie256]

🔍 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 nltk.download of punkt to the response_hallucination init 166 [jamie256]
- response_hallucination v0 163 [FelipeAdachi]
- Remove xformers as it breaks injections module on mac 162 [jamie256]
- Choosing an LLM example notebook 165 [jamie256]
- Update guardrails_openai_example_llm_schema.py 164 [murilommen]
- Bump version: 0.0.20 → 0.0.21 160 [w0-automator]

🔍 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:

- Dependency updates: allow python 3.7, update whylogs, examples cleanup 158 [jamie256]
- Bump version: 0.0.19 → 0.0.20 157 [jamie256]
- update sentiment and toxicity example and update modules documentation 156 [FelipeAdachi]

🔍 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:

- Injection refactor 154 [FelipeAdachi]
- add FrequentItemsMetric on blocked column 152 [richard-rogers]
- Add homepage link to pyproject.toml 151 [jamie256]
- More config cleanup 145 [richard-rogers]
- docs refactor 144 [FelipeAdachi]
- bump to 0.0.19 149 [FelipeAdachi]

🔍 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:

- rolling logger in safeguards example from 30 min to 5 min 148 [FelipeAdachi]

🔍 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:

- guardrails example with openai api 146 [FelipeAdachi]
- Add configuration example notebook 139 [richard-rogers]
- Add test for empty string on toxicity 142 [jamie256]