ReAct Loop

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Execution Order

1. env.reset(goal)
2. Generate initial plan
3. For each step until done or max_steps:
   • retrieve step examples
   • generate reasoning
   • generate action
   • call env.step(action)
4. record retrieval outcome for curation

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Prompt Variables

• {goal}
• {plan}
• {observation}
• {reasoning}
• {history}
• {examples}

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Python-Specific Behavior

• Supports both sync and async env.step return values.
• Supports unified XML tool-loop prompt mode when XML markers are present.
• Applies environment-variable caps for prompt field length.

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TypeScript-Specific Behavior

• Environment methods can be sync or async.
• Prompt field caps are configured via ReActLoopOptions.
• Uses model helper formatters (formatExamples, formatHistory).