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规划和执行代理节点(Plan and Execute Agent node)#

计划与执行代理类似于 ReAct 代理，但更侧重于规划。它首先创建一个高层次的计划来解决给定任务，然后逐步执行该计划。对于需要结构化方法和仔细规划的任务，这个代理最为有用。

🌐 The Plan and Execute Agent is like the ReAct agent but with a focus on planning. It first creates a high-level plan to solve the given task and then executes the plan step by step. This agent is most useful for tasks that require a structured approach and careful planning.

有关 AI Agent 节点本身的更多信息，请参考 AI Agent。

🌐 Refer to AI Agent for more information on the AI Agent node itself.

节点参数(Node parameters)#

使用以下参数配置 Plan and Execute Agent。

🌐 Configure the Plan and Execute Agent using the following parameters.

提示(Prompt)#

Select how you want the node to construct the prompt (also known as the user's query or input from the chat).

Choose from:

  • Take from previous node automatically: If you select this option, the node expects an input from a previous node called chatInput.
  • Define below: If you select this option, provide either static text or an expression for dynamic content to serve as the prompt in the Prompt (User Message) field.

要求特定输出格式(Require Specific Output Format)#

This parameter controls whether you want the node to require a specific output format. When turned on, n8n prompts you to connect one of these output parsers to the node:

节点选项(Node options)#

使用以下选项优化计划和执行代理节点的行为：

🌐 Refine the Plan and Execute Agent node's behavior using these options:

人类消息模板(Human Message Template)#

输入 n8n 将在每个步骤执行期间发送给代理的消息。

🌐 Enter a message that n8n will send to the agent during each step execution.

可用的 LangChain 表达式：

🌐 Available LangChain expressions:

  • {previous_steps}：包含关于代理已完成的之前步骤的信息。
  • {current_step}：包含有关当前步骤的信息。
  • {agent_scratchpad}：需要在下一次迭代中记住的信息。

模板和示例(Templates and examples)#

请参阅主 AI 代理节点的 模板和示例 部分。

🌐 Refer to the main AI Agent node's Templates and examples section.

常见问题(Common issues)#

有关常见问题或问题及建议的解决方案，请参阅 常见问题。

🌐 For common questions or issues and suggested solutions, refer to Common issues.