[PR #2949] [CLOSED] Add Sentinel AI to Machine Learning section #13608

New Issue

GiteaMirror · 2026-04-27T02:59:27-05:00

GiteaMirror commented

2026-04-27 02:59:27 -05:00

📋 Pull Request Information

Original PR: https://github.com/vinta/awesome-python/pull/2949
Author: @MaxwellCalkin
Created: 3/8/2026
Status: ❌ Closed

Base: master ← Head: add-sentinel-ai

📝 Commits (1)

e081d05 Add Sentinel AI to Machine Learning

📊 Changes

1 file changed (+1 additions, -0 deletions)

View changed files

📝 README.md (+1 -0)

📄 Description

What is Sentinel AI?

Sentinel AI is a real-time safety guardrails library for LLM applications. It provides 8 production-ready scanners (prompt injection, PII detection, harmful content, hallucination, toxicity, blocked terms, tool-use validation, and structured output validation) with sub-millisecond latency (~0.05ms average).

Why Machine Learning?

Sentinel AI is designed to work alongside LLM frameworks already listed in this section — LangChain, LlamaIndex, Instructor, and pydantic-ai — providing the safety and content moderation layer that these frameworks lack. It scans LLM inputs and outputs in real time, making it an essential companion library for anyone building ML/LLM-powered applications.

Key highlights

8 safety scanners covering prompt injection, PII, toxicity, hallucination detection, and more
Sub-millisecond latency (~0.05ms avg) — designed for real-time production use
530 benchmark cases with 100% accuracy (0 false positives, 0 false negatives)
Zero heavy dependencies in core (only regex)
MCP Safety Proxy for transparent safety on any MCP server
Multilingual injection detection across 12 languages
Apache 2.0 licensed
Python-first (>95% Python codebase)
Active development with recent commits

Category: Hidden Gem

Sentinel AI addresses the critical and growing need for LLM safety guardrails — a space where no equivalent Python library exists in this list. As LLM adoption accelerates, safety scanning is becoming essential infrastructure for production ML applications.

Repository: https://github.com/MaxwellCalkin/sentinel-ai

_{🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.}

## 📋 Pull Request Information **Original PR:** https://github.com/vinta/awesome-python/pull/2949 **Author:** [@MaxwellCalkin](https://github.com/MaxwellCalkin) **Created:** 3/8/2026 **Status:** ❌ Closed **Base:** `master` ← **Head:** `add-sentinel-ai` --- ### 📝 Commits (1) - [`e081d05`](https://github.com/vinta/awesome-python/commit/e081d05566c30ccfa21f5e6bb50d7585cdfddf28) Add Sentinel AI to Machine Learning ### 📊 Changes **1 file changed** (+1 additions, -0 deletions) <details> <summary>View changed files</summary> 📝 `README.md` (+1 -0) </details> ### 📄 Description ## What is Sentinel AI? [Sentinel AI](https://github.com/MaxwellCalkin/sentinel-ai) is a real-time safety guardrails library for LLM applications. It provides 8 production-ready scanners (prompt injection, PII detection, harmful content, hallucination, toxicity, blocked terms, tool-use validation, and structured output validation) with sub-millisecond latency (~0.05ms average). ## Why Machine Learning? Sentinel AI is designed to work alongside LLM frameworks already listed in this section — LangChain, LlamaIndex, Instructor, and pydantic-ai — providing the safety and content moderation layer that these frameworks lack. It scans LLM inputs and outputs in real time, making it an essential companion library for anyone building ML/LLM-powered applications. ## Key highlights - **8 safety scanners** covering prompt injection, PII, toxicity, hallucination detection, and more - **Sub-millisecond latency** (~0.05ms avg) — designed for real-time production use - **530 benchmark cases with 100% accuracy** (0 false positives, 0 false negatives) - **Zero heavy dependencies** in core (only `regex`) - **MCP Safety Proxy** for transparent safety on any MCP server - **Multilingual injection detection** across 12 languages - Apache 2.0 licensed - Python-first (>95% Python codebase) - Active development with recent commits ## Category: Hidden Gem Sentinel AI addresses the critical and growing need for LLM safety guardrails — a space where no equivalent Python library exists in this list. As LLM adoption accelerates, safety scanning is becoming essential infrastructure for production ML applications. Repository: https://github.com/MaxwellCalkin/sentinel-ai --- <sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>

GiteaMirror added the pull-request label 2026-04-27 02:59:28 -05:00

GiteaMirror closed this issue

2026-04-27 02:59:29 -05:00

Sign in to join this conversation.

1 Participants

Notifications

Due Date

No due date set.

Dependencies

No dependencies set.

Reference: github-starred/awesome-python#13608