AI 工作流构建器#
¥AI Workflow Builder
AI 工作流构建器允许你使用自然语言描述目标来创建、优化和调试工作流。
¥AI Workflow Builder enables you to create, refine, and debug workflows using natural language descriptions of your goals.
它处理整个工作流构建过程,包括节点选择、放置和配置,从而减少构建功能性工作流所需的时间。
¥It handles the entire workflow construction process, including node selection, placement, and configuration, thereby reducing the time required to build functional workflows.
有关 AI 工作流构建器的定价和可用性详情,请参阅 n8n 套餐和定价。
¥For details of pricing and availability of AI Workflow Builder, see n8n Plans and Pricing.
使用构建器#
¥Working with the builder
- 描述你的工作流程:你可以选择示例提示,也可以使用自然语言描述你的需求。
¥Describe your workflow: Either select an example prompt or describe your requirements in natural language. 2. 监控构建:构建器通过多个阶段提供实时反馈。
¥Monitor the build: The builder provides real-time feedback through several phases. 3. 检查并优化生成的工作流:检查所需的凭据和其他参数。使用提示优化工作流。
¥Review and refine the generated workflow: Review required credentials and other parameters. Refine the workflow using prompts.
可在构建器中运行的命令#
¥Commands you can run in the builder
/clear:清除 LLM 的上下文,让你从头开始
¥/clear: Clears the context for the LLM and lets you start from scratch
了解积分#
¥Understanding credits
积分机制#
¥How credits work
每次你向构建器发送消息,请求其创建或修改工作流时,都算作一次交互,每次交互价值一个积分。
¥Each time you send a message to the builder asking it to create or modify a workflow, that counts as one interaction, which is worth one credit.
✅ 计为一次交互
¥✅ Counts as an interaction
- 发送消息以创建新工作流
¥Sending a message to create a new workflow
- 请求构建者修改现有工作流
¥Asking the builder to modify an existing workflow
- 在构建工作流后,单击构建器窗口中的“执行并优化”按钮
¥Clicking the Execute and refine button in the builder window after a workflow is built
❌ 不计入交互次数
¥❌ Does NOT count as an interaction
- 失败或产生生成错误的消息
¥Messages that fail or produce generation errors
- 单击停止按钮手动停止请求
¥Requests you manually stop by clicking the stop button
获取更多积分#
¥Getting more credits
如果你已用完每月限额,可以升级到更高级别的套餐。
¥If you've used your monthly limit, you can upgrade to a higher plan.
有关计划和定价的详情,请参阅 n8n 套餐和定价。
¥For details on plans and pricing, see n8n Plans and Pricing.
AI 模型和数据处理#
¥AI model and data handling
以下数据会被发送到 LLM:
¥The following data are sent to the LLM:
- 你提供的用于创建、优化或调试工作流的文本提示
¥Text prompts that you provide to create, refine, or debug the workflow
- 节点定义、参数、连接以及当前工作流定义。
¥Node definitions, parameters, and connections and the current workflow definition.
- 使用构建器时加载的任何模拟执行数据
¥Any mock execution data that is loaded when using the builder
以下数据不会被发送:
¥The following data are not sent:
- 你使用的任何凭据的详细信息
¥Details of any credentials you use
- 工作流的先前执行记录。
¥Past executions of the workflow
