Google ADK Module - Prompts, Instructions, I/O Schema & Model Config Full Tutorial !!

This tutorial covers Module 02 of the Google Agent Development Kit (ADK), focusing on prompts, instructions, I/O schema, and model configuration. The content provides a comprehensive guide to structuring agent prompts, defining input/output schemas, and configuring language models for optimal agent performance. Key concepts include prompt engineering best practices, schema validation, and model parameter tuning for AI agent development.

Key Points

• •Understand the role of prompts and instructions in defining agent behavior and capabilities
• •Learn how to structure effective prompts that guide agent decision-making and responses
• •Define and validate I/O schemas to ensure consistent data flow between agent components
• •Configure model parameters (temperature, max_tokens, top_p) to control agent output characteristics
• •Implement system instructions that establish agent personality, constraints, and operational guidelines
• •Use schema validation to enforce data type consistency and prevent runtime errors
• •Apply prompt engineering techniques to improve agent reasoning and task completion rates
• •Integrate multiple model configurations for different agent tasks or use cases

Workflow Diagram

Concepts