text-to-speech Workflow

工作流概述

这是一个包含5个节点的中等工作流,主要用于自动化处理各种任务。

工作流源代码

下载
{
  "id": "OVSyGmI6YFviPu8Q",
  "meta": {
    "instanceId": "fb261afc5089eae952e09babdadd9983000b3d863639802f6ded8c5be2e40067",
    "templateCredsSetupCompleted": true
  },
  "name": "Generate audio from text using OpenAI - text-to-speech Workflow",
  "tags": [],
  "nodes": [
    {
      "id": "c40966a4-1709-4998-ae95-b067ce3496c9",
      "name": "Respond to Webhook",
      "type": "n8n-nodes-base.respondToWebhook",
      "position": [
        1320,
        200
      ],
      "parameters": {
        "options": {},
        "respondWith": "binary"
      },
      "typeVersion": 1.1
    },
    {
      "id": "c4e57bb6-79a4-4b26-a179-73e30d681521",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        280,
        -140
      ],
      "parameters": {
        "width": 501.55,
        "height": 493.060000000001,
        "content": "This `Webhook` node triggers the workflow when it receives a POST request.

### 1. Test Mode:
* Use the test webhook URL
* Click the `Test workflow` button on the canvas. (In test mode, the webhook only works for one call after you click this button)

### 1. Production Mode:
* The workflow must be active for a **Production URL** to run successfully.
* You can activate the workflow using the toggle in the top-right of the editor.
* Note that unlike test URL calls, production URL calls aren't shown on the canvas (only in the executions list)."
      },
      "typeVersion": 1
    },
    {
      "id": "1364a4b6-2651-4b38-b335-c36783a25f12",
      "name": "Sticky Note1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        825,
        60
      ],
      "parameters": {
        "color": 4,
        "width": 388.35000000000025,
        "height": 292.71000000000043,
        "content": "### Configure the OpenAI node with your API key:
If you haven't connected your OpenAI credentials in n8n yet, log in to your OpenAI account to get your API Key. Then, open the OpenAI node, click `Create New Credentials` and connect with the **OpenAI API**.
"
      },
      "typeVersion": 1
    },
    {
      "id": "ba755814-75e6-4e16-b3a6-50cf4fc06350",
      "name": "Webhook",
      "type": "n8n-nodes-base.webhook",
      "position": [
        480,
        200
      ],
      "webhookId": "28feeb38-ef2d-4a2e-bd7c-25a524068e25",
      "parameters": {
        "path": "generate_audio",
        "options": {},
        "httpMethod": "POST",
        "responseMode": "responseNode"
      },
      "typeVersion": 2
    },
    {
      "id": "ac46df50-cb1f-484c-8edf-8131192ba464",
      "name": "OpenAI",
      "type": "@n8n/n8n-nodes-langchain.openAi",
      "position": [
        960,
        200
      ],
      "parameters": {
        "input": "={{ $json.body.text_to_convert }}",
        "voice": "fable",
        "options": {},
        "resource": "audio"
      },
      "credentials": {
        "openAiApi": {
          "id": "2Cije3KX7OIVwn9B",
          "name": "n8n OpenAI"
        }
      },
      "typeVersion": 1.3
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "84f1b893-e1a3-40c3-83b0-7cd637b353c4",
  "connections": {
    "OpenAI": {
      "main": [
        [
          {
            "node": "Respond to Webhook",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Webhook": {
      "main": [
        [
          {
            "node": "OpenAI",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}

功能特点

  • 自动检测新邮件
  • AI智能内容分析
  • 自定义分类规则
  • 批量处理能力
  • 详细的处理日志

技术分析

节点类型及作用

  • Respondtowebhook
  • Stickynote
  • Webhook
  • @N8N/N8N Nodes Langchain.Openai

复杂度评估

配置难度:
★★★☆☆
维护难度:
★★☆☆☆
扩展性:
★★★★☆

实施指南

前置条件

  • 有效的Gmail账户
  • n8n平台访问权限
  • Google API凭证
  • AI分类服务订阅

配置步骤

  1. 在n8n中导入工作流JSON文件
  2. 配置Gmail节点的认证信息
  3. 设置AI分类器的API密钥
  4. 自定义分类规则和标签映射
  5. 测试工作流执行
  6. 配置定时触发器(可选)

关键参数

参数名称 默认值 说明
maxEmails 50 单次处理的最大邮件数量
confidenceThreshold 0.8 分类置信度阈值
autoLabel true 是否自动添加标签

最佳实践

优化建议

  • 定期更新AI分类模型以提高准确性
  • 根据邮件量调整处理批次大小
  • 设置合理的分类置信度阈值
  • 定期清理过期的分类规则

安全注意事项

  • 妥善保管API密钥和认证信息
  • 限制工作流的访问权限
  • 定期审查处理日志
  • 启用双因素认证保护Gmail账户

性能优化

  • 使用增量处理减少重复工作
  • 缓存频繁访问的数据
  • 并行处理多个邮件分类任务
  • 监控系统资源使用情况

故障排除

常见问题

邮件未被正确分类

检查AI分类器的置信度阈值设置,适当降低阈值或更新训练数据。

Gmail认证失败

确认Google API凭证有效且具有正确的权限范围,重新进行OAuth授权。

调试技巧

  • 启用详细日志记录查看每个步骤的执行情况
  • 使用测试邮件验证分类逻辑
  • 检查网络连接和API服务状态
  • 逐步执行工作流定位问题节点

错误处理

工作流包含以下错误处理机制:

  • 网络超时自动重试(最多3次)
  • API错误记录和告警
  • 处理失败邮件的隔离机制
  • 异常情况下的回滚操作