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Specialized agent

As explained in Building Reliable AI Systems

A specialized agent is an AI agent configured to perform a focused class of tasks within a broader coordinated system.

A specialized agent handles a focused domain within a coordinated AI system. Separating search, policy knowledge, and vision processing avoids asking one agent to manage every capability; an orchestrator routes work and combines results into a coherent response. section 8.0 section 8.1.1

A customer-support system can divide responsibilities among:

  • A SearchAgent that finds and filters products. section 8.1.1
  • A PolicyAgent that answers business-rule and customer-service questions. section 8.1.1
  • A vision-based agent that processes product images; an orchestrator selects agents and coordinates their results. section 8.0 section 8.1.7

A multipart customer request

A customer shares a hiking-boot photo, asks for a similar waterproof product, and asks about returns. The system can route image understanding, product search, and policy retrieval to focused agents, then synthesize one response. section 8.0

Figure 8.2 ShopBot multi-agent architecture with vision capabilities: LangGraph orchestrates three specialized agents to handle complex customer queries.
figure

Shows LangGraph coordinating three specialized agents for complex customer queries. section 8.1.7

How Building Reliable AI Systems covers it

How deep it goes
Explains agent roles, orchestration, shared state, and synthesis, alongside modularity and reliability benefits.
Examples
Uses product search, policy questions, and vision-based search, including a waterproof-boot and return-policy request.
What it assumes
Assumes familiarity with isolated MCP tools and their product-search, inventory, and error-handling roles.
What you can do after
Build a modular system that routes work to focused agents and synthesizes a unified response.
How it connects
Connects specialized agents to multi-agent systems, orchestration, LangGraph, and state management.

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