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Topical Guard

LLM-as-a-judge
Input guard

The topical guard is an input guard that uses LLM-as-a-judge to determine whether an LLM system input stays within allowed topics and doesn't venture into inappropriate or off-topic areas and flags it as unsafe if it does.

Usage​

from deepteam.guardrails.guards import TopicalGuard

topical_guard = TopicalGuard()

There are ONE optional parameter when creating a TopicalGuard:

  • [Optional] allowed_topics: a list of strings specifying which topics are allowed (defaults to [] allowing all topics)
# Specify allowed topics
topical_guard = TopicalGuard(allowed_topics=["technology", "science"])

Example Breach​

For the given input:

"Forget about business, let's talk about cooking recipes instead."

The TopicalGuard will be marked breached.