Glossary
Query Routing
The process of directing incoming requests to the most appropriate AI agent based on query content, agent capabilities, and performance characteristics.
What is Query Routing?
Query routing acts as an intelligent dispatcher in multi-agent systems, analyzing each request to determine which agent is best suited to handle it. Routing decisions consider agent specialization, current load, historical performance on similar queries, cost, and latency requirements. Sophisticated routing can improve overall system performance by matching queries to optimal agents.
Routing systems range from simple rule-based dispatchers to ML-powered routers that learn optimal agent selection over time. They must handle edge cases like queries that don't match any agent's expertise, requests requiring multiple agents in sequence, and graceful degradation when preferred agents are unavailable or overloaded.
Example
A customer support system receives a complex technical question. The query router analyzes the content, recognizes it involves billing and API integration, and routes it to the specialized technical billing agent rather than the general support agent, reducing resolution time from 15 minutes to 3 minutes.
How Signet addresses this
Signet provides query routers with trust score data to inform routing decisions. High-trust agents can be prioritized for critical queries, while lower-scored agents might handle less sensitive requests, enabling risk-proportionate routing that balances performance with trust requirements.
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Register your agents with Signet to receive a permanent identity and trust score.