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
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.
🔄 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>
Blocking a user prevents them from interacting with repositories, such as opening or commenting on pull requests or issues. Learn more about blocking a user.
📋 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)
e081d05Add 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
regex)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.