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Planner Executor Agent Design

Planner-Executor Agent Design

Planner Executor Agent

The Planner-Executor Agent design is inspired by the multi-agent paradigm, focusing on the clear separation of planning and execution responsibilities to efficiently solve complex tasks. This architecture is particularly effective for scenarios that require structured problem-solving, iterative refinement, and robust error handling.

Key Components:

  1. Planner Agent: Responsible for analyzing the user query and generating a detailed, step-by-step plan or workflow. The plan outlines the sequence of actions or tool invocations required to achieve the desired outcome.

  2. Executor Agent: Takes the plan generated by the Planner Agent and executes each step in order. The Executor Agent interacts with tools, APIs, or other resources as specified in the plan, collecting results and handling intermediate outputs.

How It Works:

  1. User Query Input: The process begins when the user submits a query or task.
  2. Planning Phase: The Planner Agent decomposes the query into actionable steps, creating a structured plan.
  3. Execution Phase: The Executor Agent sequentially executes each step of the plan, invoking the necessary tools or actions.
  4. Observation and Iteration: After each step, the Executor Agent observes the results. If a step fails or produces unexpected results, the Executor can either retry, adjust the plan, or escalate the issue for further planning.
  5. Final Response: Once all steps are successfully executed, the final result is compiled and returned to the user.

Advantages:

  • Modularity: Clear separation of planning and execution allows for easier debugging, maintenance, and extension.
  • Adaptability: The system can dynamically adjust plans based on intermediate results or errors.
  • Transparency: Each step in the process is traceable, enabling better understanding and auditing of agent behavior.

This design can be further extended by integrating a Critic Agent for evaluation and feedback, or by incorporating Human-in-the-Loop mechanisms for plan approval and refinement, as described in the Multi Agent Design section.