🏗️ AI Agent Architecture

Understanding how AI agents are structured and operate

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User Input

Natural language queries, commands, or requests

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Context & Memory

Previous conversations, learned preferences, session state

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External Data

APIs, databases, documents, real-time information

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AI Agent Core

Large Language Model
Reasoning • Planning • Decision Making

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

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Actions

API calls, file operations, system commands

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Responses

Natural language answers, explanations, recommendations

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Tool Outputs

Processed data, generated content, analysis results

Agent Processing Flow

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