What is Router Agent?
Router Agent is an AI agent or routing component that classifies a request and delegates it to the most appropriate tool, workflow, model, or specialist agent.
How It Works
A Router Agent is useful when one system contains multiple specialists or execution paths. Instead of asking every agent to inspect every request, the router decides where the request should go: search, code review, data analysis, customer support, policy escalation, or human review. Routing can be implemented with rules, embeddings, classifiers, LLM calls, or a hybrid approach. The main risk is silent misrouting, so production routers need confidence thresholds, fallbacks, and observable decisions.
Key Characteristics
- Intent classification: maps incoming requests to capability domains
- Delegation role: sends work to specialist agents, tools, models, or workflows
- Cost control: avoids invoking expensive or irrelevant agents unnecessarily
- Fallback-aware: should handle ambiguous, low-confidence, or unsupported requests
- Observable decisions: should record why a route was selected
Common Use Cases
- Routing coding questions to a code agent and billing questions to support automation
- Choosing between RAG, web search, SQL analysis, and human escalation
- Selecting a cheaper model for simple tasks and a stronger model for complex ones
- Dispatching work to specialist agents in a multi-agent architecture
- Refusing or escalating requests that match safety-sensitive categories
Example
Loading code...Frequently Asked Questions
Does a Router Agent need to be an LLM?
No. Routing can use rules, classifiers, embeddings, LLMs, or a combination. The best choice depends on ambiguity, cost, latency, and audit requirements.
What is the main risk of a Router Agent?
The main risk is misrouting: a request goes to the wrong agent or tool, causing poor answers, wasted cost, or unsafe actions. Confidence thresholds and fallbacks are essential.
How should routing decisions be logged?
Log the selected route, confidence, candidate routes, relevant features or rationale, fallback behavior, and the final downstream outcome while protecting sensitive input.
When should a Router Agent ask for clarification?
It should ask when the request is ambiguous, confidence is low, required context is missing, or multiple routes could produce materially different actions.