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AdvancedAgent Patterns
ReAct Prompting: Complete Guide for Prompt Engineers
Combine reasoning (Thought) and action (Act) in a loop, allowing models to use tools, search, and iterate toward a goal. Learn when to use it, see a real example, and understand the best practices.
When to Use This Technique
AI agents, tool use, research tasks, or any goal where the model needs to take actions and observe results.
Example Prompt
Thought: I need to check the current stock price. Act: search('AAPL current price'). Observation: $185. Thought: Now I can compare...
Pro Tips
- ✓Define available tools clearly in your system prompt
- ✓Limit available actions to prevent hallucinations
- ✓Set max iteration limits to prevent loops
- ✓Log all steps for debugging
More Practice Prompts
Thought: I need to check the current stock price. Act: search('AAPL current price'). Observation: $185. Thought: Now I can compare...
FAQ
When should I use ReAct Prompting?
AI agents, tool use, research tasks, or any goal where the model needs to take actions and observe results.
What difficulty level is ReAct Prompting?
ReAct Prompting is considered Advanced level in the Agent Patterns category.
Quick Facts
DifficultyAdvanced
CategoryAgent Patterns