Agent Customization¶

Work in Progress

This page is currently under development.

Overview¶

This tutorial guides you through the process of customizing an agent with advanced functionality, including integration with external APIs, handling complex prompts, and implementing custom logic.

Prerequisites¶

Before starting this tutorial, ensure you have:

Completed the Deploy Your First Agent guide
Basic understanding of Python and Docker
AWS credentials properly configured

Basic Agent Structure¶

A standard agent consists of:

Dockerfile - Defines the container environment
app.py - Contains the agent's logic
requirements.txt - Lists Python dependencies

Adding External API Integration¶

To integrate with external APIs:

Python
1	`# Example code will be added in a future update`

Implementing Custom Logic¶

Add custom logic to your agent:

Python
1	`# Example code will be added in a future update`

Handling Complex Prompts¶

Process structured prompts:

Python
1	`# Example code will be added in a future update`

Advanced Configuration¶

Configure advanced options:

Python
1	`# Example code will be added in a future update`

Deployment and Testing¶

Deploy and test your customized agent:

Bash
1	`# Example commands will be added in a future update`

Best Practices¶

Guidelines for agent customization will be added in a future update.