- ReAct (Reasoning and Acting):Agents employ the ReAct pattern, synergizing explicit reasoning with dynamic action execution. This iterative loop of “Thought-Action-Observation” enables agents to plan, execute steps, observe outcomes, and refine their approach, leading to more robust and accurate task completion. It enhances adaptability and explainability by externalizing the agent’s thought process.
- Reflection:Agents are equipped with reflection capabilities, allowing them to introspect and self-correct. By reviewing their past actions, decisions, and outcomes, agents can identify errors, learn from experiences, and improve their future performance. This meta-cognitive ability significantly enhances the platform’s reliability and adaptive learning over time.
