ReAct-Style Agent Loop Pseudocode

Design and implement, using pseudocode, a ReAct-style agent loop. This loop should facilitate an intelligent agent's interaction by alternating between internal reasoning and external actions.

Requirements

• The agent initiates its process upon receiving a user question.
• In each iteration, the underlying model component generates three distinct outputs:
  • Thought: Represents the agent's internal reasoning or plan for the current step.
  • Action: Specifies a tool to be invoked (e.g., Search, Calculator, LookupDB) or signals the completion of the task via Finish.
  • ActionInput: Provides the necessary arguments for the chosen tool.
• If an Action (other than Finish) is selected:
  • The specified tool must be invoked with the provided ActionInput.
  • The result of the tool invocation, termed Observation, must be captured.
  • This Observation should then be appended to the agent's context, making it available for subsequent iterations of the model.
• The loop must terminate under two conditions:
  • When the model explicitly chooses the Finish action.
  • When a predefined maximum number of steps is reached, preventing unbounded execution.
• Implement basic safeguards to ensure robustness:
  • Mechanism for enforcing maximum steps or timeouts for tool calls.
  • Graceful handling of errors that may arise during tool execution.
  • Logic to prevent the agent from entering infinite loops.

Deliverable

Your solution should clearly outline the pseudocode for the agent's main loop structure and detail the data elements maintained within the agent's state (e.g., conversation history, scratchpad, tool outputs).