Daily AI News Translation & Summary with GPT-4 and Telegram Delivery
工作流概述
这是一个包含12个节点的复杂工作流,主要用于自动化处理各种任务。
工作流源代码
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"name": "Daily AI News Translation & Summary with GPT-4 and Telegram Delivery",
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"createdAt": "2025-04-18T13:34:41.761Z",
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"content": "### Setup
1. **Add NewsAPI and GNews API Keys**
- Register for accounts on [NewsAPI.org](https://newsapi.org/) and [GNews](https://gnews.io/) to obtain your API keys.
- Input your NewsAPI key directly into the `Fetch NewsAPI articles` node.
- Input your GNews API key into the `Fetch GNews articles` node.
2. **Set up your Telegram Bot**
- Create a Telegram Bot via [BotFather](https://core.telegram.org/bots#6-botfather) and copy the generated Bot Token.
- In n8n, create Telegram Bot credentials using this token.
- In the `Send summary to Telegram` node, enter the chat ID of your target user, group, or channel to receive the messages.
3. **Configure OpenAI Credentials**
- In n8n, create a new credential using your OpenAI API key.
- Assign this credential to the `GPT-4.1 Model` node (or equivalent OpenAI/AI nodes).
After completing these steps, your workflow is fully configured to fetch, summarize, and deliver daily AI news to your selected Telegram chat automatically.
### How to customize this workflow
- **Change the topic:** Update the keywords in the NewsAPI and GNews nodes for other subjects (e.g., “blockchain”, “quantum computing”).
- **Adjust delivery time:** Modify the scheduled trigger to your preferred hour.
- **Tweak summary style or language:** Refine the prompt in the AI summarizer node for different tones or translate into other languages as needed."
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"name": "Trigger at 8am daily",
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"url": "https://gnews.io/api/v4/search",
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"parameters": {
"url": "https://newsapi.org/v2/everything",
"options": {},
"sendQuery": true,
"sendHeaders": true,
"queryParameters": {
"parameters": [
{
"name": "q",
"value": "AI"
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{
"name": "language",
"value": "en"
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{
"name": "sortBy",
"value": "publishedAt"
},
{
"name": "pageSize",
"value": "20"
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"headerParameters": {
"parameters": [
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"assignments": {
"assignments": [
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"name": "articles",
"type": "string",
"value": "={{ $json.articles }}"
}
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"name": "NewsAPI: Map to articles",
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"assignments": {
"assignments": [
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"value": "={{ $json.articles }}"
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{
"id": "d42b4e2d-87f4-4a0e-a6c3-ab1b3501bcfa",
"name": "Merge GNews & NewsAPI",
"type": "n8n-nodes-base.merge",
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"name": "Sticky: News APIs",
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"content": "### Data Source Nodes
- `Fetch GNews articles` and `Fetch NewsAPI articles` get up to 20 latest AI-related English news each from two different APIs using your API keys.
- Both sources are standardized to an `articles` property for merging.
"
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"parameters": {
"text": "=You are an AI news assistant. Your tasks:
1. Select the 15 most relevant articles on AI technology progress and applications from {{$json.articles}}.
2. Translate them to accurate Traditional Chinese; don't translate commonly used technical English terms.
3. Make sure to include the article URL for each item.
4. Begin output with today's date (e.g., '早安,這是 {{ $now.format('yyyy/MM/dd') }} 的 AI 新聞:')
Output only the summary.",
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"mode": "list",
"value": "gpt-4.1",
"cachedResultName": "gpt-4.1"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "RjawTJt2ILjgM4Wx",
"name": "[Template] OpenAi account"
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"content": "### AI Assistant Logic
The summarization uses the latest GPT-4.1 model to select, translate, and enrich the top 15 AI news links from both GNews and NewsAPI. Controlled by a tailored prompt for concise, readable output."
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"typeVersion": 1
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"name": "Send summary to Telegram",
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"webhookId": "21eb8e1c-87de-45af-888d-699fbd443bc8",
"parameters": {
"text": "={{ $json.output }}",
"additionalFields": {
"appendAttribution": false
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"credentials": {
"telegramApi": {
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"name": "[Template] Telegram Bot"
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"Fetch GNews articles": {
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},
"Trigger at 8am daily": {
"main": [
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"node": "Fetch GNews articles",
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},
"Merge GNews & NewsAPI": {
"main": [
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{
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"type": "main",
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},
"Fetch NewsAPI articles": {
"main": [
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"node": "NewsAPI: Map to articles",
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"GNews: Map to articles": {
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"NewsAPI: Map to articles": {
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"AI summarizer & translator": {
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"type": "main",
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}
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
- Stickynote
- Scheduletrigger
- Httprequest
- Set
- Merge
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
- 在n8n中导入工作流JSON文件
- 配置Gmail节点的认证信息
- 设置AI分类器的API密钥
- 自定义分类规则和标签映射
- 测试工作流执行
- 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