🏗️ AI Agent Architecture

Understanding how AI agents are structured and operate

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User Input

Natural language queries, commands, or requests

Context & Memory

Previous conversations, learned preferences, session state

External Data

APIs, databases, documents, real-time information

AI Agent Core

Large Language Model
Reasoning • Planning • Decision Making

Key Components:
• Prompt Processing
• Tool Selection
• Response Generation
• Error Handling

Actions

API calls, file operations, system commands

Responses

Natural language answers, explanations, recommendations

Tool Outputs

Processed data, generated content, analysis results

Agent Processing Flow

1. Receive Input
2. Understand Intent
3. Plan Actions
4. Execute Tools
5. Generate Response

Component Legend

Input/Output Components - Data sources and destinations
Core Agent - Central processing and decision-making unit
Processing Steps - Sequential workflow stages