Fluiq vs LLM Status

Fluiq blocks prompt attacks, scores agent trajectories, and traces every step of every run. Two lines of Python, one dashboard.

Track where every AI model is used across your apps, and get warned before one is deprecated or retired.

About Fluiq

Fluiq blocks prompt attacks, scores agent trajectories, and traces every step of every run. Two lines of Python, one dashboard. It chooses tools, chains steps, reads whatever the retriever returns, and hands work to other agents. It blocks the unsafe ones before they reach the model, and fails your build when quality drops. A full suite of server-side scanners runs on every request. Patterns are maintained server-side and updated without SDK releases. Images and other media are scanned alongside the text.

About LLM Status

Track where every AI model is used across your apps, and get warned before one is deprecated or retired. Run mm for the full terminal dashboard: it scans the current repo on launch, then you arrow through every model it calls, browse the registry, and see what's new, live. Both pull the signed registry from cdn.llmstatus.ai once, then run offline. The Here and What's New tabs read straight off the signed registry, no account, works offline.