Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.
It is an open-source toolkit for monitoring Large Language Models (LLMs). It extracts signals from prompts & responses, ensuring safety & security. | It is an open-source Python package for specifying structure and type, validating and correcting the outputs of large language models (LLMs). |
Text quality;
Relevance metrics;
Sentiment analysis;
A comprehensive tool for LLM observability | Enforces structure and type guarantees;
Validate and correct the outputs of large language models (LLMs);
Takes corrective actions (e.g. reasking LLM) when validation fails |
Statistics | |
GitHub Stars 954 | GitHub Stars 5.9K |
GitHub Forks 70 | GitHub Forks 471 |
Stacks 0 | Stacks 0 |
Followers 1 | Followers 0 |
Votes 0 | Votes 0 |
Integrations | |

It is a robust static analysis framework for validating that LLM-generated structured output is safe. It currently supports SQL.

It is a self-hardening prompt injection detector. It is designed to protect AI applications from prompt injection (PI) attacks through a multi-stage defense.

It is a comprehensive tool designed to fortify the security of Large Language Models (LLMs). By offering sanitization, detection of harmful language, prevention of data leakage, and resistance against prompt injection attacks, it ensures that your interactions with LLMs remain safe and secure.