ReAct Pattern
Definition
ReAct combines task reasoning with actions and subsequent observations.
A method introduced in a research paper that intertwines model-generated task reasoning with actions and the resulting observations. Implementations do not have to disclose internal thought traces.
Simply explained
An agent considers the next step, uses a tool, and decides how to proceed based on the result.
Why it matters in practice
The term helps to design automated processes reliably, measurably, and with clear responsibilities.
Example from business
An agent formulates the next search step, calls a tool, processes the observation, and then selects the next action.
Limits and pitfalls
- Representing ReAct as a general agent standard, forcing hidden thought traces, trusting tool results without verification, or not limiting loops, permissions, and costs.
Origin & history
Yao and co-authors published ReAct in 2022.
Use in mid-sized companies
- Possible example: An agent formulates the next search step, calls a tool, processes the observation, and then selects the next action.
Frequently asked questions
What does the ReAct method mean?
A method introduced in a research paper that intertwines model-generated task reasoning with actions and the resulting observations. Implementations do not have to disclose internal thought traces. What mistakes should be avoided? Representing ReAct as a general agent standard, forcing hidden thought traces, trusting tool results without verification, or not limiting loops, permissions, and costs.
Sources
Source checked on 10.10.2026. Editorial application examples are hypothetical; no proof of real customer results.
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