语音支持工作流
高级
这是一个Other, AI领域的自动化工作流，包含 22 个节点。主要使用 If, Set, Code, Switch, Telegram 等节点，结合人工智能技术实现智能自动化。 AI语音教练与生成器：使用Telegram、OpenAI和Gemini
前置要求
- •Telegram Bot Token
- •OpenAI API Key
- •Google Gemini API Key
使用的节点 (22)
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
{
"id": "Fdbft9uw8mLGXMoE",
"meta": {
"instanceId": "13d96e1ebd7901d1ed300d36db3a4447107e9ad60df51fe711e45683875362aa",
"templateCredsSetupCompleted": true
},
"name": "语音支持工作流",
"tags": [
{
"id": "88Rkm7VaAFefsT34",
"name": "AI",
"createdAt": "2025-05-06T22:52:26.053Z",
"updatedAt": "2025-05-06T22:52:26.053Z"
},
{
"id": "s1UA6FThbKhQYbLu",
"name": "MultiModal",
"createdAt": "2025-05-06T22:52:35.914Z",
"updatedAt": "2025-05-06T22:52:35.914Z"
},
{
"id": "ANT04PP2WxQmkjzl",
"name": "Integrations",
"createdAt": "2025-05-06T22:53:02.798Z",
"updatedAt": "2025-05-06T22:53:02.798Z"
}
],
"nodes": [
{
"id": "8868fc75-4a21-4900-b2b9-7860ee981a9e",
"name": "AI Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
1640,
240
],
"parameters": {
"text": "={{ $('Route Flow Based on Message Content').item.json.text }}",
"options": {
"systemMessage": "={{ $json.system_prompt }}\n\nYou are generating text for a Telegram message. The text should be plain. No * or **"
},
"promptType": "define"
},
"typeVersion": 1.8
},
{
"id": "23f48680-a190-48a5-bb7c-e070db41b9e7",
"name": "Google Gemini聊天模型",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
1620,
800
],
"parameters": {
"options": {},
"modelName": "models/gemini-2.0-flash-001"
},
"credentials": {
"googlePalmApi": {
"id": "zCkkU4GKPR7wANF5",
"name": "Google Gemini(PaLM) Api account"
}
},
"typeVersion": 1
},
{
"id": "6a909fb0-f550-4b5e-94db-6e16682d70bd",
"name": "接收 Telegram 消息",
"type": "n8n-nodes-base.telegramTrigger",
"position": [
-480,
240
],
"webhookId": "20140af0-c902-44db-9c53-051def981f9a",
"parameters": {
"updates": [
"message"
],
"additionalFields": {}
},
"credentials": {
"telegramApi": {
"id": "WvBkWguhZJQm5FpM",
"name": "Telegram account"
}
},
"typeVersion": 1.2
},
{
"id": "73d19e09-efc4-43c4-a4e9-382ae66c7651",
"name": "检查是否为文本或语音消息",
"type": "n8n-nodes-base.set",
"position": [
-260,
240
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "b37e51e5-e2c7-4328-b02b-80d08164d595",
"name": "text",
"type": "string",
"value": "={{ $json.message.text||\"\" }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "a7ade841-258d-45b2-9150-a56490a4c37f",
"name": "下载音频文件",
"type": "n8n-nodes-base.telegram",
"position": [
180,
120
],
"webhookId": "68e0f93e-5dd0-41aa-89e4-4e7a6be9d3b2",
"parameters": {
"fileId": "={{ $('Recieve Telegram Message').item.json.message.voice.file_id }}",
"resource": "file"
},
"credentials": {
"telegramApi": {
"id": "WvBkWguhZJQm5FpM",
"name": "Telegram account"
}
},
"typeVersion": 1.2
},
{
"id": "73cb448e-f00e-4879-8fa2-facb259b76b2",
"name": "转录音频文件",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
400,
120
],
"parameters": {
"options": {},
"resource": "audio",
"operation": "transcribe"
},
"credentials": {
"openAiApi": {
"id": "cDXozPn1syyex1aJ",
"name": "OpenAi account"
}
},
"typeVersion": 1.8
},
{
"id": "a1999ecd-cabf-4740-a9a6-98486a868b7f",
"name": "如果是语音消息",
"type": "n8n-nodes-base.if",
"position": [
-60,
240
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "d60f6ce2-afd0-4ee1-a7c3-3d5bbdb68ea2",
"operator": {
"type": "string",
"operation": "empty",
"singleValue": true
},
"leftValue": "={{ $json.text }}",
"rightValue": ""
}
]
}
},
"typeVersion": 2.2
},
{
"id": "ac5cad34-3756-4fe3-9269-ae96e5b49e8f",
"name": "用于从 LLM 响应中移除不需要字符的代码",
"type": "n8n-nodes-base.code",
"position": [
2060,
240
],
"parameters": {
"language": "python",
"pythonCode": "import re\n\ndef clean_markdown_for_telegram(text):\n \"\"\"\n Removes common Markdown formatting characters from a string.\n\n Args:\n text: The input string.\n\n Returns:\n A new string with Markdown characters removed.\n \"\"\"\n markdown_chars = r\"[*_~`\\[\\]()#+\\-=|{}.!]\"\n cleaned_text = re.sub(markdown_chars, \"\", text)\n cleaned_text = \" \".join(cleaned_text.split()).strip()\n return cleaned_text\n\n# Loop over input items and create new items with the cleaned text\noutput_items = []\nfor item in _input.all():\n feedback_text = item.json.get(\"output\", \"\")\n cleaned_feedback = clean_markdown_for_telegram(feedback_text)\n output_items.append({\"json\": {\"cleanedText\": cleaned_feedback}})\n\nreturn output_items"
},
"typeVersion": 2
},
{
"id": "82761634-7472-4ce1-806a-2b80aca985e3",
"name": "用于将输出分割成小于 4000 字符的块的代码",
"type": "n8n-nodes-base.code",
"position": [
2280,
240
],
"parameters": {
"language": "python",
"pythonCode": "def split_text_for_telegram(text, max_length=4000):\n \"\"\"\n Splits a long text into a list of strings, each with a maximum length\n suitable for Telegram messages.\n\n Args:\n text: The input string to split.\n max_length: The maximum length of each resulting string (default: 4000).\n\n Returns:\n A list of strings, where each string is a chunk of the original text\n with a maximum length of max_length.\n \"\"\"\n if len(text) <= max_length:\n return [text]\n\n chunks = []\n start_index = 0\n while start_index < len(text):\n end_index = min(start_index + max_length, len(text))\n\n split_point = end_index\n if end_index < len(text):\n last_sentence_end = -1\n for i in range(start_index + max_length - 1, start_index - 1, -1):\n if i < len(text) and text[i] in ['.', '?', '!']:\n last_sentence_end = i + 1\n break\n if last_sentence_end > start_index:\n split_point = last_sentence_end\n\n chunks.append(text[start_index:split_point])\n start_index = split_point\n\n return chunks\n\noutput_items = []\nmax_length = 4000\n\nfor item in _input.all():\n text = item.json.get(\"cleanedText\", \"\")\n text_chunks = split_text_for_telegram(text, max_length)\n for chunk in text_chunks:\n output_items.append({\"json\": {\"telegramTextChunk\": chunk}})\n\nreturn output_items"
},
"typeVersion": 2
},
{
"id": "9adbfd4c-bbb9-4c92-bf07-a3b50a92aa02",
"name": "回复 Telegram 消息",
"type": "n8n-nodes-base.telegram",
"position": [
2500,
240
],
"webhookId": "4c77b108-e066-4538-986a-7535143cfaac",
"parameters": {
"text": "={{ $json.telegramTextChunk }}",
"chatId": "={{ $('Recieve Telegram Message').item.json.message.chat.id }}",
"additionalFields": {
"appendAttribution": false
}
},
"credentials": {
"telegramApi": {
"id": "WvBkWguhZJQm5FpM",
"name": "Telegram account"
}
},
"typeVersion": 1.2
},
{
"id": "5bdb6ec5-339e-4e8d-a746-9cdbe4d5f12f",
"name": "清空对话记忆",
"type": "@n8n/n8n-nodes-langchain.memoryManager",
"position": [
940,
-20
],
"parameters": {
"mode": "delete",
"deleteMode": "all"
},
"typeVersion": 1.1
},
{
"id": "aae703f4-e891-4681-aae4-c426ebba5146",
"name": "存储对话记忆",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"position": [
1120,
800
],
"parameters": {
"sessionKey": "={{ $('Recieve Telegram Message').item.json.message.from.id }}",
"sessionIdType": "customKey",
"contextWindowLength": 25
},
"typeVersion": 1.3
},
{
"id": "7457f085-9b19-4a00-9ad6-af2ca8ee16d5",
"name": "设置提示以开始新的演讲",
"type": "n8n-nodes-base.set",
"position": [
1340,
-20
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "d5b33b03-241b-4193-915a-4eb4dfef05e9",
"name": "system_prompt",
"type": "string",
"value": "\"I am preparing to give a speech. Your role is to act as my speech preparation assistant. Please guide me through the process of getting ready to deliver this speech effectively. Ask me relevant questions and suggest steps we should take to ensure a successful presentation.\n\nPotential areas we can work on include:\n\nDefining the core message and key takeaways.\nUnderstanding the audience's needs and expectations.\nStructuring the speech for maximum impact.\nCrafting engaging content and supporting materials.\nDeveloping effective opening and closing remarks.\nPracticing delivery and managing speaking anxiety.\nAnticipating potential questions from the audience.\nConsidering the logistics of the presentation (e.g., time limits, equipment).\nWhere should we begin?"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "0a9f2c04-7f7e-488c-866c-717a78bf7db1",
"name": "设置提示以基于反馈生成演讲",
"type": "n8n-nodes-base.set",
"position": [
1340,
220
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "ddbff433-f4bb-4ac1-a954-7fb32c942a9b",
"name": "system_prompt",
"type": "string",
"value": "I want you to act as a speech synthesizer and improvement agent. You have access to the content of several speeches I have previously provided, along with the constructive feedback I received on each and with this information your task is to generate a new speech.\n\nThis new speech should incorporate the following:\n\nKey themes and ideas that were present and well-received in my previous speeches.\nStructural elements and transitions that were identified as effective in past feedback.\nEngagement techniques that were noted as successful.\nAvoidance of areas for improvement highlighted in the feedback (e.g., rambling sections, unclear points, pacing issues).\nIncorporation of specific suggestions for improvement that were given.\nA similar tone and style to my previous speeches, while aiming for enhanced clarity and impact based on the feedback.\nPlease provide the complete text of the new speech. Feel free to ask clarifying questions if needed about the new topic, audience, or goal, or if you need a reminder of specific feedback points from my previous speeches. I am ready when you are.\""
}
]
}
},
"typeVersion": 3.4
},
{
"id": "f242361e-6bf4-4c4e-8cd0-72da06823842",
"name": "设置提示以提供关于演讲的反馈",
"type": "n8n-nodes-base.set",
"position": [
1340,
420
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "b86d5905-872a-40fa-9855-054cd8991a0d",
"name": "system_prompt",
"type": "string",
"value": "I'd like you to act as a speech feedback agent. I will deliver a speech to you, and I want you to provide constructive criticism and insights on various aspects of my delivery and content. Please pay attention to: Clarity and Conciseness: Was the message easy to understand? Were there any parts that felt rambling or unnecessary? Engagement: How engaging was the speech overall? Were there moments where your attention might have drifted? Structure and Flow: Did the speech progress logically? Were the transitions smooth? Pacing and Timing: Was the speech delivered at an appropriate pace? Did it feel rushed or too slow? Vocal Delivery (if applicable): (If you are able to describe vocal elements) How was the tone, pitch, and volume? Did it enhance or detract from the message? Content and Impact: Was the content compelling and relevant? Did the speech achieve its intended purpose (as I will describe beforehand)? What was the overall impact of the message? Strengths: What were the most effective aspects of the speech? Areas for Improvement: What specific suggestions do you have to make the speech even better? Before I begin, I will briefly tell you the topic, my intended audience, and my goal for the speech. Are you ready?"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "c1f69bc3-2c93-404e-b338-82663deb975b",
"name": "基于消息内容路由流程",
"type": "n8n-nodes-base.switch",
"position": [
680,
260
],
"parameters": {
"rules": {
"values": [
{
"outputKey": "new_speech",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": false,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "8b36fb19-1a5a-4fe1-aec2-7de8b5829972",
"operator": {
"type": "string",
"operation": "contains"
},
"leftValue": "={{ $json.text }}",
"rightValue": "new speech"
}
]
},
"renameOutput": true
},
{
"outputKey": "generate_speech",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": false,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "708d114d-1146-4d8a-b972-cfb5a53a8d77",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.text }}",
"rightValue": "generate speech"
}
]
},
"renameOutput": true
}
]
},
"options": {
"ignoreCase": true,
"fallbackOutput": "extra"
}
},
"typeVersion": 3.2
},
{
"id": "6cf41698-2345-4ff8-bd1e-9549e372b454",
"name": "便签",
"type": "n8n-nodes-base.stickyNote",
"position": [
1280,
-300
],
"parameters": {
"width": 220,
"height": 900,
"content": "## 动态系统提示："
},
"typeVersion": 1
},
{
"id": "1d967631-9300-4fb6-b488-8c09beccbb05",
"name": "便签1",
"type": "n8n-nodes-base.stickyNote",
"position": [
2000,
-300
],
"parameters": {
"width": 440,
"height": 720,
"content": "## Telegram 就绪输出：格式化和长度管理："
},
"typeVersion": 1
},
{
"id": "c480550b-c94f-40ee-8338-3deb6bea28d8",
"name": "便签2",
"type": "n8n-nodes-base.stickyNote",
"position": [
900,
-300
],
"parameters": {
"width": 340,
"height": 420,
"content": "## 清除 AI Agent 记忆："
},
"typeVersion": 1
},
{
"id": "bd36f9a8-30d9-4e0a-978b-a74806685adc",
"name": "便签3",
"type": "n8n-nodes-base.stickyNote",
"position": [
-320,
-300
],
"parameters": {
"width": 1160,
"height": 740,
"content": "## 处理 Telegram 消息："
},
"typeVersion": 1
},
{
"id": "cf7d8897-b963-4bb5-9b0e-3ab628e478c7",
"name": "便签4",
"type": "n8n-nodes-base.stickyNote",
"position": [
1620,
-300
],
"parameters": {
"width": 300,
"height": 740,
"content": "## Gemini 驱动的响应和对话存储："
},
"typeVersion": 1
},
{
"id": "9fffb613-536e-4b4d-8841-7b4bd3121eab",
"name": "便利贴5",
"type": "n8n-nodes-base.stickyNote",
"position": [
-300,
-500
],
"parameters": {
"color": 4,
"width": 2740,
"height": 140,
"content": "## 此 n8n 工作流充当您的个人 AI 演讲稿撰写教练，可直接通过 Telegram 访问。它听取您的口头或书面草稿，就清晰度、参与度、结构和内容提供有见地的反馈，并根据您的更新迭代优化您的信息。当您准备好后，它会综合所有改进和您积累的想法，生成全新的演讲或谈话。此工具简化了演讲稿撰写过程，提供按需 AI 协助，帮助您制作有影响力和结构良好的演示文稿。"
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "4aaa8457-2661-4261-a601-0a0ffaffacff",
"connections": {
"AI Agent": {
"main": [
[
{
"node": "Code to remove unwanted characters from LLM response",
"type": "main",
"index": 0
}
]
]
},
"If Voice Message": {
"main": [
[
{
"node": "Download Audio File",
"type": "main",
"index": 0
}
],
[
{
"node": "Route Flow Based on Message Content",
"type": "main",
"index": 0
}
]
]
},
"Download Audio File": {
"main": [
[
{
"node": "Transcribe Audio File",
"type": "main",
"index": 0
}
]
]
},
"Transcribe Audio File": {
"main": [
[
{
"node": "Route Flow Based on Message Content",
"type": "main",
"index": 0
}
]
]
},
"Google Gemini Chat Model": {
"ai_languageModel": [
[
{
"node": "AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Recieve Telegram Message": {
"main": [
[
{
"node": "Check For Text or Voice Message",
"type": "main",
"index": 0
}
]
]
},
"Wipe Conversation Memory": {
"main": [
[
{
"node": "Set prompt to start a new speech",
"type": "main",
"index": 0
}
]
]
},
"Store Conversation Memory": {
"ai_memory": [
[
{
"node": "AI Agent",
"type": "ai_memory",
"index": 0
},
{
"node": "Wipe Conversation Memory",
"type": "ai_memory",
"index": 0
}
]
]
},
"Check For Text or Voice Message": {
"main": [
[
{
"node": "If Voice Message",
"type": "main",
"index": 0
}
]
]
},
"Set prompt to start a new speech": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
},
"Route Flow Based on Message Content": {
"main": [
[
{
"node": "Wipe Conversation Memory",
"type": "main",
"index": 0
}
],
[
{
"node": "Set prompt to generate a speech based on the feedback",
"type": "main",
"index": 0
}
],
[
{
"node": "Set prompt to provide feedback on speech",
"type": "main",
"index": 0
}
]
]
},
"Set prompt to provide feedback on speech": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
},
"Code to remove unwanted characters from LLM response": {
"main": [
[
{
"node": "Code to split output into chunks under 4000 characters",
"type": "main",
"index": 0
}
]
]
},
"Set prompt to generate a speech based on the feedback": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
},
"Code to split output into chunks under 4000 characters": {
"main": [
[
{
"node": "Respond to Telegram Message",
"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？
高级 - 其他, 人工智能
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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难度等级
高级
节点数量22
分类2
节点类型12
作者
NanaB
@nanabrownAutomation Developer with 3+ years building innovative solutions on UiPath, Power Platform, and n8n, also with a strong background in both API development and integration. Now specializing in the creation and implementation of AI Agents.
外部链接
在 n8n.io 查看 →
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