轻松任务管理:从Telegram直接创建Todoist任务
中级
这是一个AI领域的自动化工作流,包含 13 个节点。主要使用 Set、Switch、Todoist、Telegram、TelegramTrigger 等节点,结合人工智能技术实现智能自动化。 轻松任务管理:通过AI从Telegram直接创建Todoist任务
前置要求
- •Telegram Bot Token
- •OpenAI API Key
使用的节点 (13 个)
分类
工作流预览
可视化展示节点连接关系,支持缩放和平移
导出工作流
复制以下 JSON 配置到 n8n 导入,即可使用此工作流
{
"meta": {
"instanceId": "b41148c809c7896d124743d940fc0964703e540af66564ef95e25a4ceea61c77",
"templateCredsSetupCompleted": true
},
"nodes": [
{
"id": "e87d3723-7e7a-4ff3-bffb-b2bd2096bd34",
"name": "OpenAI 聊天模型",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
1080,
260
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "uFPD9I4pWJ4xUVf7",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
},
{
"id": "d25bf3ea-0de4-4317-9205-651f8a1a6ba8",
"name": "Basic LLM Chain",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
1060,
40
],
"parameters": {
"text": "={{ $json.text }}",
"messages": {
"messageValues": [
{
"message": "=Okay, I've further refined the system prompt to include only the \"content\" and \"priority\" fields in the JSON output for the Todoist tool. Here's the updated prompt:\n\n**System Prompt:**\n\n```\nYou are an AI agent acting as a project management assistant. The user will provide you with a task or project description. Your job is to break down this task or project into smaller, manageable sub-tasks. You will then format each sub-task into a JSON object suitable for input to the \"Todoist\" tool and provide these JSON objects in a list.\n\n**Requirements:**\n\n1. **Sub-Task Decomposition:** Break down the task or project provided by the user into logical and actionable sub-tasks. Each sub-task should be self-contained, completable, and measurable.\n2. **JSON Format for Todoist:** Format each sub-task as a JSON object with the following structure:\n\n ```json\n {\n \"content\": \"[Task Description]\",\n \"priority\": [Priority Level (1-4, where 4 is highest)]\n }\n ```\n\n * `content`: A clear and concise description of the task.\n * `priority`: An integer representing the task priority, ranging from 1 (lowest) to 4 (highest). Consider the importance and urgency of the task when assigning the priority.\n\n3. **Tool Usage - Todoist JSON Output:** After decomposing the project into sub-tasks, you **MUST** format each sub-task into the JSON structure specified above and present all the JSON objects in a Python list. This list will be the direct input to the \"Todoist\" tool.\n\n4. **Contextual Understanding:** Fully understand the context of the task or project provided by the user. If necessary, ask for additional information or clarification to resolve any ambiguities.\n\n5. **Limitations:**\n\n * Avoid very general or abstract sub-tasks.\n * Ensure that each sub-task is completable and measurable.\n * When creating sub-tasks, consider the user's skills and resources.\n * Ensure all the output is valid JSON format within a python list\n\n**User Input:**\n\nThe user will provide you with a task or project description in the following format:\n\n```\nProject Description: [User's Entered Task or Project Description]\n```\n\n**Example:**\n\n**User Input:**\n\n```\nProject Description: Plan a team offsite.\n```\n\n**LLM Response:**\n\n```python\n[\n {\n \"content\": \"Research potential offsite locations.\",\n \"priority\": 3\n },\n {\n \"content\": \"Determine the budget for the offsite.\",\n \"priority\": 4\n },\n {\n \"content\": \"Send out a survey to gather team preferences.\",\n \"priority\": 3\n },\n {\n \"content\": \"Book the chosen venue.\",\n \"priority\": 4\n },\n {\n \"content\": \"Plan team-building activities.\",\n \"priority\": 2\n }\n]\n```\n\n**Key Changes and Explanations:**\n\n* **Simplified JSON Structure:** The JSON object now only includes `content` and `priority`.\n* **Example Updated:** The example response reflects the simplified JSON format.\n* **Conciseness:** The prompt is now more concise, focusing only on the necessary fields.\n\n**Jinja2 Template Version**\n\n```python\nfrom jinja2 import Template\n\ntemplate_string = \"\"\"\nYou are an AI agent acting as a project management assistant. The user will provide you with a task or project description. Your job is to break down this task or project into smaller, manageable sub-tasks. You will then format each sub-task into a JSON object suitable for input to the \"Todoist\" tool and provide these JSON objects in a list.\n\n**Requirements:**\n\n1. **Sub-Task Decomposition:** Break down the task or project provided by the user into logical and actionable sub-tasks. Each sub-task should be self-contained, completable, and measurable.\n2. **JSON Format for Todoist:** Format each sub-task as a JSON object with the following structure:\n\n ```json\n {\n \"content\": \"[Task Description]\",\n \"priority\": [Priority Level (1-4, where 4 is highest)]\n }\n ```\n\n * `content`: A clear and concise description of the task.\n * `priority`: An integer representing the task priority, ranging from 1 (lowest) to 4 (highest). Consider the importance and urgency of the task when assigning the priority.\n\n3. **Tool Usage - Todoist JSON Output:** After decomposing the project into sub-tasks, you **MUST** format each sub-task into the JSON structure specified above and present all the JSON objects in a Python list. This list will be the direct input to the \"Todoist\" tool.\n\n4. **Contextual Understanding:** Fully understand the context of the task or project provided by the user. If necessary, ask for additional information or clarification to resolve any ambiguities.\n\n5. **Limitations:**\n\n * Avoid very general or abstract sub-tasks.\n * Ensure that each sub-task is completable and measurable.\n * When creating sub-tasks, consider the user's skills and resources.\n * Ensure all the output is valid JSON format within a python list\n\n**User Input:**\n\nThe user will provide you with a task or project description in the following format:\n\n```\nProject Description: {{ project_description }}\n```\n\n**Example:**\n\n**User Input:**\n\n```\nProject Description: Plan a team offsite.\n```\n\n**LLM Response:**\n\n```python\n[\n {\n \"content\": \"Research potential offsite locations.\",\n \"priority\": 3\n },\n {\n \"content\": \"Determine the budget for the offsite.\",\n \"priority\": 4\n },\n {\n \"content\": \"Send out a survey to gather team preferences.\",\n \"priority\": 3\n },\n {\n \"content\": \"Book the chosen venue.\",\n \"priority\": 4\n },\n {\n \"content\": \"Plan team-building activities.\",\n \"priority\": 2\n }\n]\n```\n\"\"\"\n\ntemplate = Template(template_string)\n\n# Example Usage\nproject_description = \"Plan a team offsite.\"\nprompt = template.render(project_description=project_description)\n\nprint(prompt)\n```\n \n"
}
]
},
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 1.5
},
{
"id": "ddfe59c5-574c-470b-b2cc-efa05da74972",
"name": "接收 Telegram 消息",
"type": "n8n-nodes-base.telegramTrigger",
"position": [
-220,
-100
],
"webhookId": "4e2cd560-ae4e-4ed7-a8ea-984518404e51",
"parameters": {
"updates": [
"message"
],
"additionalFields": {}
},
"credentials": {
"telegramApi": {
"id": "lff3pLERRdQmkmeV",
"name": "Telegram account"
}
},
"typeVersion": 1.1
},
{
"id": "23f2cedd-bcd2-4a94-acc1-8829b30553dc",
"name": "语音还是文本?",
"type": "n8n-nodes-base.switch",
"position": [
140,
-20
],
"parameters": {
"rules": {
"values": [
{
"outputKey": "Audio",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "af30c479-4542-405f-b315-37c50c4e2bef",
"operator": {
"type": "string",
"operation": "exists",
"singleValue": true
},
"leftValue": "={{ $json.message.voice.file_id }}",
"rightValue": ""
}
]
},
"renameOutput": true
},
{
"outputKey": "Text",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "a3ca8cd4-fbb2-40b5-829a-24724f2fbc85",
"operator": {
"type": "string",
"operation": "exists",
"singleValue": true
},
"leftValue": "={{ $json.message.text || \"\" }}",
"rightValue": ""
}
]
},
"renameOutput": true
},
{
"outputKey": "Error",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "9bcfdee0-2f09-4037-a7b9-689ef392371d",
"operator": {
"type": "string",
"operation": "exists",
"singleValue": true
},
"leftValue": "error",
"rightValue": ""
}
]
},
"renameOutput": true
}
]
},
"options": {}
},
"typeVersion": 3.2
},
{
"id": "128e8268-a256-4256-8757-9ece8be86d75",
"name": "获取语音消息",
"type": "n8n-nodes-base.telegram",
"position": [
500,
-120
],
"webhookId": "23645237-4943-4c32-b18c-97c410cc3409",
"parameters": {
"fileId": "={{ $json.message.voice.file_id }}",
"resource": "file"
},
"credentials": {
"telegramApi": {
"id": "lff3pLERRdQmkmeV",
"name": "Telegram account"
}
},
"typeVersion": 1.2
},
{
"id": "d8219ba5-bb33-44f5-a9a2-65fd16be335b",
"name": "语音转文本",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
720,
-120
],
"parameters": {
"options": {},
"resource": "audio",
"operation": "translate"
},
"credentials": {
"openAiApi": {
"id": "uFPD9I4pWJ4xUVf7",
"name": "OpenAi account"
}
},
"typeVersion": 1.8
},
{
"id": "0c5f5568-fd14-4c65-8661-ebc5803158ce",
"name": "为 LLM 做准备",
"type": "n8n-nodes-base.set",
"position": [
620,
100
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "b324a329-3c49-4f7f-b683-74331b7fe7f8",
"name": "=text",
"type": "string",
"value": "={{$json.message.text}}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "76ed8f5c-59f7-4cb9-9e59-25ac7e9e8c60",
"name": "提取任务",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
1220,
260
],
"parameters": {
"jsonSchemaExample": " {\n \"content\": \"Send out invitations.\",\n \"priority\": 3\n }"
},
"typeVersion": 1.2
},
{
"id": "7d0dbcb7-aac1-4eea-8f0b-6173148bfd3f",
"name": "创建 Todoist 任务",
"type": "n8n-nodes-base.todoist",
"position": [
1620,
40
],
"parameters": {
"content": "={{ $json.output.content }}",
"options": {
"priority": "={{ $json.output.priority }}"
},
"project": {
"__rl": true,
"mode": "list",
"value": "2349786654",
"cachedResultName": "Task"
}
},
"credentials": {
"todoistApi": {
"id": "yqSn5VBXyA4R6hgt",
"name": "Todoist account"
}
},
"typeVersion": 2.1
},
{
"id": "544b3f63-8ac1-4f81-9c24-943df16d9324",
"name": "发送确认",
"type": "n8n-nodes-base.telegram",
"position": [
1880,
40
],
"webhookId": "5699aecd-e061-4b7f-af7b-4a23eb7201c6",
"parameters": {
"text": "=Task : {{ $json.content }} Task Link :{{ $json.url }}",
"chatId": "={{ $('Receive Telegram Messages').item.json.message.chat.id }}",
"additionalFields": {}
},
"credentials": {
"telegramApi": {
"id": "lff3pLERRdQmkmeV",
"name": "Telegram account"
}
},
"typeVersion": 1.2
},
{
"id": "b244f935-3047-4581-84ac-b01b2f962c1d",
"name": "便签2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-260,
-240
],
"parameters": {
"width": 260,
"height": 320,
"content": ""
},
"typeVersion": 1
},
{
"id": "fa99930d-8e75-4f1e-aa9b-47c38e611538",
"name": "便签3",
"type": "n8n-nodes-base.stickyNote",
"position": [
440,
-220
],
"parameters": {
"width": 460,
"height": 260,
"content": "**语音消息从 Telegram 获取,并使用 OpenAI 的 Whisper API 转录为文本。**"
},
"typeVersion": 1
},
{
"id": "beb460c9-0412-40c4-a3cf-76660eb0e1b8",
"name": "便签说明4",
"type": "n8n-nodes-base.stickyNote",
"position": [
1000,
-60
],
"parameters": {
"width": 380,
"height": 440,
"content": ""
},
"typeVersion": 1
}
],
"pinData": {},
"connections": {
"Extract Tasks": {
"ai_outputParser": [
[
{
"node": "Basic LLM Chain",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"Voice or Text?": {
"main": [
[
{
"node": "Fetch Voice Message",
"type": "main",
"index": 0
}
],
[
{
"node": "Prepare for LLM",
"type": "main",
"index": 0
}
]
]
},
"Basic LLM Chain": {
"main": [
[
{
"node": "Create Todoist Tasks",
"type": "main",
"index": 0
}
]
]
},
"Prepare for LLM": {
"main": [
[
{
"node": "Basic LLM Chain",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "Basic LLM Chain",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Fetch Voice Message": {
"main": [
[
{
"node": "Transcribe Voice to Text",
"type": "main",
"index": 0
}
]
]
},
"Create Todoist Tasks": {
"main": [
[
{
"node": "Send Confirmation",
"type": "main",
"index": 0
}
]
]
},
"Transcribe Voice to Text": {
"main": [
[
{
"node": "Basic LLM Chain",
"type": "main",
"index": 0
}
]
]
},
"Receive Telegram Messages": {
"main": [
[
{
"node": "Voice or Text?",
"type": "main",
"index": 0
}
]
]
}
}
}常见问题
如何使用这个工作流?
复制上方的 JSON 配置代码,在您的 n8n 实例中创建新工作流并选择「从 JSON 导入」,粘贴配置后根据需要修改凭证设置即可。
这个工作流适合什么场景?
这是一个中级难度的工作流,适用于AI等场景。适合有一定经验的用户,包含 6-15 个节点的中等复杂度工作流
需要付费吗?
本工作流完全免费,您可以直接导入使用。但请注意,工作流中使用的第三方服务(如 OpenAI API)可能需要您自行付费。
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工作流信息
难度等级
中级
节点数量13
分类1
节点类型10
作者
Onur
@onurpolat05Hello, I'm Onur I've been working as a freelance software developer for about four years. In addition, I develop my own projects. For some time, I have been improving myself and providing various services related to AI and AI workflows. Both by writing low code and code. If you have any questions, don't hesitate to contact me.
外部链接
在 n8n.io 上查看 →
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