Sub-Agent
What is a Sub-Agent?
A Sub-Agent is a specialized component within an AI Agent that handles a specific set of tasks related to a particular domain or functionality. It acts as a modular processing unit, receiving tasks from the main agent after identifying user intent.
Think of Sub-Agents as modules in a typical application—they focus on distinct functionalities within the AI system.
How Sub-Agents Work
User Query Processing
The main agent receives the user’s request and determines the intent.
If the intent falls within a specific domain, it is delegated to the appropriate Sub-Agent.
Task Execution by Sub-Agent
The Sub-Agent processes the request based on the identified user intent.
It may extract information, analyze data, summarize content, or answer user queries by delegating the execution to right intent.
Response Generation
The Sub-Agent compiles the required information by executing the workflow associated with the intent and sends the response back to the main agent.
The main agent then formats and delivers the final response to the user.
Example: Document AI Agent
A Document AI Agent may have a Document Q&A Sub-Agent, which:
Handles user queries about uploaded documents.
Retrieves, extracts, and summarizes information from documents like paystubs, invoices, and balance sheets.
Ensures users get accurate responses based on the document data processed by the AI.
How to create sub-agent?
See the video below to learn how to create Sub-Agents:
Key takeaway for developers
Why Use Sub-Agents?
✅ Modular Structure: Organizes AI workflows efficiently.
✅ Scalability: Allows for adding specialized capabilities without modifying the entire agent.
✅ Improved Accuracy: Sub-agents focus on specific tasks, enhancing performance.
By using Sub-Agents, developers can build structured, scalable AI systems that efficiently handle complex, multi-domain tasks.
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