Show HN: Fluiq – detect prompt injection, PII, Crescendo attack 2 line of Python

Category: library

Tags: llm-observability, python-sdk, prompt-injection-detection

Score: 7.3/10 (Innovation: 7, Technical: 7, Documentation: 8, Utility: 7)

Fluiq is a Python SDK for instrumenting LLM applications with automatic tracing, security scanning, evaluation, and caching in just a few lines of code. It supports a wide range of popular LLM providers, frameworks, and vector stores, combining observability, security, and optimization into a single unified tool. The project is interesting because it packages multiple advanced features (prompt injection detection, LLM-as-judge evaluation, trace-driven caching) that are typically separate, into a clean, developer-friendly interface.

Target audience: backend devs, ai engineers, devops

Repository: https://getfluiq.com/ · Python · MIT

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