reaatech/confidence-router

These packages give you a decision engine that turns classifier confidence scores into one of three actions: route to a handler, ask the user for clarification, or fall back to a default. You'd adopt them to handle ambiguous or low-confidence predictions in a conversational or routing system without hard-coding every edge case. The most distinctive thing is the threshold-based triage model—you set two confidence boundaries and the engine automatically decides whether to proceed, ask, or bail, with pluggable classifiers (keyword, embedding, LLM) that chain in priority order.