Update Blog “part-6-agentic-ai-teams-in-router-mode-multilingual-routing-with-agno”

Author: choukden

content/blog/part-6-agentic-ai-teams-in-router-mode-multilingual-routing-with-agno.md

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 One of the most powerful capabilities in Agentic AI is orchestrating multiple agents to work together—each with its own specialization. In this segment, we explore the **Router Mode** pattern, a configuration where a central team detects **context** (like language or domain) and routes queries to the right agent accordingly.
 
-> **What exactly is "context"?**\
+> **What exactly is "context"?**
 > In Agentic AI, *context* refers to the key details in a user's input that help the system understand how to respond appropriately. Think of it like clues that tell the AI what kind of help is needed. For example, if a user submits a query in Hindi, the language itself becomes part of the context. Similarly, if the query mentions "insurance claims" or "server configuration," that reveals the domain or topic the user is focused on.
 >
-> **Simple Analogy:**\
+> **Simple Analogy:**
 > Imagine walking into a large helpdesk at an international airport. You speak to a receptionist and ask for assistance. Based on your language, destination, or issue (lost luggage vs. visa questions), they direct you to the right expert—someone who speaks your language or understands your problem. That receptionist is acting like the router agent. They’re not solving the issue themselves but are smart enough to know *who* should help you based on *context*. That’s exactly what the Router Mode does in Agentic AI.
 
 This method is especially effective in scenarios requiring multilingual or domain-specific support. Using the **AGNO framework**, we’ll see how to construct a language-routing team that handles diverse user inputs with precision and fallback logic—making it especially friendly for no-code or low-code setups.