react-reasoning

Grounded multi-step reasoning interleaves chain-of-thought thinking with external tool actions, grounding decisions in real observations to prevent hallucinations. This approach uses a ReAct loop to verify reasoning steps against data from web search or APIs.

To prevent hallucinations during multi-step tasks, interleave reasoning with tool-driven actions like web search or data retrieval. Grounding each thought process in real observations improves verifiability and interpretability before taking the next step.

ReAct reasoning works with external tools by implementing a Thought, Action, and Observation loop. It applies to multi-step tasks requiring external data retrieval or API interactions, grounding each reasoning step in the tool's returned observations.

Handle unexpected results during reasoning and acting by using built-in recovery and fallback strategies. The system can adjust plans and execute alternative actions when tool observations do not match expectations, ensuring reliable task completion.

ReAct interleaves reasoning with external tool actions to ground decisions, while CoT-SC serves as a fallback mechanism for higher reliability. When tool use is constrained, CoT-SC provides alternative reasoning paths without requiring external observations.

Use interleaved thought-action loops instead of standard chain-of-thought when tasks require external tools like web search or API interactions. Grounding reasoning in observations ensures verifiability that standard reasoning cannot achieve for multi-step data retrieval.