Most teams think adding multiple LLMs makes their system more reliable.

In production, it often does the opposite.

Each model behaves differently.
Different safety filters, different context handling, different outputs for the same input.

Now add:
tool calls
APIs
memory
agents

You don’t just have one system anymore.
You have multiple interaction layers with no consistent control.

Nothing looks broken.
But things slowly drift.

That’s where most gaps show up.

Curious if others have seen this with multi-model setups.

I broke this down with real scenarios here:
langprotect.hashnode.dev/multi-llm-security-gaps-…