Can someone help me understand if the “reasoning” capability differs between a create_react_agent and a create_tool_calling_agent? I understand that a tool calling agent does not have a action/thought/observation cycle but does it mean that it cannot reason (as in pick and choose it’s path) as well as a react agent? I am trying to solve for a situation where my agent does not take the right step and needs to correct course. Would appreciate any thoughts here.
Both agents have the same underlying reasoning capability since they use the same model, but they differ in visibility and control. create_react_agent externalizes reasoning with the Action/Thought/Observation loop, letting you see each step, debug it and even intervene mid process making it especially good when you need transparency or finegrained control over course corrections. create_tool_calling_agent reasons internally with the same model ability, but you can’t inspect or influence that reasoning directly, making it faster and cleaner for simple tool orchestration but harder to debug if it takes a wrong step. For your situation where the agent needs to correct course, create_react_agent would be better since you can see exactly where it goes wrong and potentially guide it back on track.
Thanks, @AbdulBasit. Appreciate the response.