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627Agent Architecture Overview
628Designing the Agent Loop
629Setting Up the Initial State
630Implementing the Observation Step
631Building the Decision Module
632Action Selection and Parsing
633Tool Registry and Execution
634Handling Execution Results
635Implementing Stop Conditions
636Basic Error Handling
637Logging and Trace Inspection
638Testing Your First Agent
639The ReAct Framework: Reasoning + Acting
640ReAct Prompt Structure and Format
641Parsing ReAct Agent Outputs
642The ReAct Loop: Execute and Observe
643Tool Selection in ReAct Agents
644Handling ReAct Parsing Errors
645ReAct Few-Shot Examples
646Final Answer Detection and Extraction
647ReAct Agent Stopping Conditions
648Comparing ReAct to Other Agent Patterns
649Tool Execution Flow in Agents
650Dynamic Tool Discovery and Registration
651Tool Input Validation and Type Safety
652Sandboxing Python Code Execution
653Docker-Based Tool Sandboxing
654Resource Limits and Timeouts
655Tool Error Handling and Recovery
656Async Tool Execution Patterns
657Tool Execution Logging and Tracing
658Security Best Practices for Tool Execution
659Logging Agent Execution Steps
660Tracing Tool Calls and Context
661Visualizing Agent Reasoning Chains
662Debugging Infinite Loops and Stopping Failures
663Handling Tool Execution Errors
664Inspecting Prompt Templates and Context Windows
665Task Success Metrics for Agents
666Automated Agent Testing Frameworks
667Human-in-the-Loop Evaluation
668Regression Testing and Agent Versioning

627Agent Architecture Overview
628Designing the Agent Loop
629Setting Up the Initial State
630Implementing the Observation Step
631Building the Decision Module
632Action Selection and Parsing
633Tool Registry and Execution
634Handling Execution Results
635Implementing Stop Conditions
636Basic Error Handling
637Logging and Trace Inspection
638Testing Your First Agent
639The ReAct Framework: Reasoning + Acting
640ReAct Prompt Structure and Format
641Parsing ReAct Agent Outputs
642The ReAct Loop: Execute and Observe
643Tool Selection in ReAct Agents
644Handling ReAct Parsing Errors
645ReAct Few-Shot Examples
646Final Answer Detection and Extraction
647ReAct Agent Stopping Conditions
648Comparing ReAct to Other Agent Patterns
649Tool Execution Flow in Agents
650Dynamic Tool Discovery and Registration
651Tool Input Validation and Type Safety
652Sandboxing Python Code Execution
653Docker-Based Tool Sandboxing
654Resource Limits and Timeouts
655Tool Error Handling and Recovery
656Async Tool Execution Patterns
657Tool Execution Logging and Tracing
658Security Best Practices for Tool Execution
659Logging Agent Execution Steps
660Tracing Tool Calls and Context
661Visualizing Agent Reasoning Chains
662Debugging Infinite Loops and Stopping Failures
663Handling Tool Execution Errors
664Inspecting Prompt Templates and Context Windows
665Task Success Metrics for Agents
666Automated Agent Testing Frameworks
667Human-in-the-Loop Evaluation
668Regression Testing and Agent Versioning

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Lesson 640 of 1,886·16. AI Agents - ImplementationPro lesson

ReAct Prompt Structure and Format

Understand the Thought-Action-Observation prompt template that drives ReAct agent behavior and tool selection.

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