Wikipedia Podcast Telegram Agent - Template

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  "name": "Wikipedia Podcast Telegram Agent - Template",
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        "resource": "file"
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      "credentials": {
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          "id": "Zq1NBOOoVJ5tyR1G",
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      "webhookId": "ffe71aef-85a4-4a81-b220-4632e19d6982",
      "parameters": {
        "chatId": "={{ $('Telegram Trigger').item.json.message.chat.id }}",
        "operation": "sendAudio",
        "binaryData": true,
        "additionalFields": {
          "caption": "=🎙️ Wikipedia-Podcast: {{ $('Telegram Trigger').item.json.message.text }}",
          "fileName": "={{ $('Telegram Trigger').item.json.message.text }}.mp3"
        }
      },
      "credentials": {
        "telegramApi": {
          "id": "Zq1NBOOoVJ5tyR1G",
          "name": "Wikipedia Podcast Bot"
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    {
      "id": "c2e46d2f-01e9-4512-b44d-5b2bae881341",
      "name": "Wikipedia Podcast Agent",
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      "parameters": {
        "text": "={{ $json.text }}",
        "options": {
          "systemMessage": "=You are a professional podcast host who creates captivating and informative 5-minute podcasts about Wikipedia articles. Your task is to produce an engaging, well-structured podcast from the topic mentioned by the user.\n\n## Your Working Method:\n\n1. **Research**: Use the Wikipedia tool to gather comprehensive information about the desired topic\n2. **Deep Dive**: Search for additional interesting details, backgrounds, and connections\n3. **Podcast Creation**: Create approximately a 5-minute podcast text (about 600-750 words)\n\n## Podcast Structure:\n\n**Intro (30-45 seconds)**\n- Greet the listeners warmly\n- Introduce the topic and spark curiosity\n- Give a brief preview of the most interesting aspects\n\n**Main Part (3.5-4 minutes)**\n- Tell the story chronologically or thematically structured\n- Emphasize particularly fascinating, surprising, or little-known facts\n- Use vivid descriptions and concrete examples\n- Make connections to current events or other well-known topics\n\n**Outro (30-45 seconds)**\n- Summarize the most important insights\n- Encourage reflection or pose an interesting concluding question\n- Say goodbye in a friendly manner\n\n## Style Guidelines:\n\n- **Conversational**: Speak as if you were telling a fascinating story to a friend\n- **Accessible**: Explain complex matters understandably without oversimplifying\n- **Enthusiastic**: Show your enthusiasm for the topic\n- **Structured**: Use clear transitions between sections\n- **Lively**: Use rhetorical questions, short pauses (marked with \"...\") and vary the pace\n- **Direct**: Continuously address the listeners with \"you\" - they are your conversation partners\n- **Tangible**: Translate large numbers and abstract statistics into understandable comparisons\n\n## Special Notes:\n\n- Pay attention to natural language suitable for speaking\n- Avoid overly long sentences or complicated nested clauses\n- Occasionally integrate \"By the way...\" or \"Did you know that...\" for additional facts\n- **No stage directions**: NEVER use brackets with music or sound cues like [INTRO MUSIC] or [OUTRO MUSIC]\n- **Make numbers tangible**: Translate large statistics into comparisons (e.g., \"As many people as live in all of Bavaria today\" instead of \"13 million\")\n- **Continuous listener address**: Use \"you\" throughout - the listeners are always directly addressed\n- Always ensure that all information comes from reliable Wikipedia sources\n\nNow create a captivating podcast about the desired topic!"
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      "parameters": {
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        "content": "# Welcome to my Wikipedia Podcast Telegram Agent Workflow!\n\n## This workflow has the following sequence:\n\n1. **Telegram Trigger** - Receives incoming messages (text or voice) from users via Telegram bot\n2. **Text or Voice Switch** - Routes the message based on input type (text message vs. voice message)\n3. **Voice Message Processing** (if voice input):\n   - Retrieval of voice file from Telegram\n   - Transcription of voice message to text using OpenAI Whisper\n4. **Text Message Preparation** (if text input) - Prepares the text message for the AI agent\n5. **Wikipedia Podcast Agent** - Core AI agent that:\n   - Researches the requested topic using Wikipedia tool\n   - Creates a professional 5-minute podcast script (600-750 words)\n   - Follows structured format: intro, main content, outro\n   - Uses conversational, accessible, and enthusiastic tone\n6. **ElevenLabs Text to Speech** - Converts the podcast script into natural-sounding audio using AI voice synthesis\n7. **Send Voice Response** - Delivers the generated podcast audio back to the user via Telegram\n\n## The following accesses are required for the workflow:\n\n- **Telegram Bot API**: [Documentation](https://docs.n8n.io/integrations/builtin/credentials/telegram/)\n- **Anthropic API** (Claude 4 Sonnet): [Documentation](https://docs.n8n.io/integrations/builtin/credentials/anthropic/)\n- **OpenAI API** (for voice transcription): [Documentation](https://docs.n8n.io/integrations/builtin/credentials/openai/)\n- **ElevenLabs API** (for text-to-speech): [Documentation](https://github.com/n8n-ninja/n8n-nodes-elevenlabs?tab=readme-ov-fil/)\n\n## Workflow Features:\n\n- **Multi-input support**: Accepts both text and voice messages from Telegram users\n- **Wikipedia integration**: Automatically researches topics using Wikipedia data\n- **Professional podcast generation**: Creates structured, engaging 5-minute podcast episodes\n- **Natural voice synthesis**: Converts text to high-quality speech using AI\n- **Seamless user experience**: Users receive audio responses directly in Telegram chat\n\n## Use Cases:\n\n- Educational content creation\n- Quick Wikipedia topic summaries in podcast format\n- Accessibility tool for consuming Wikipedia content\n- Personal learning assistant\n- Content creation for social media or educational purposes\n\nYou can contact me via LinkedIn, if you have any questions: https://www.linkedin.com/in/friedemann-schuetzt  "
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        "json": {
          "message": {
            "chat": {
              "id": 1810565648,
              "type": "private",
              "username": "FSEssen",
              "first_name": "FS"
            },
            "date": 1748536655,
            "from": {
              "id": 1810565648,
              "is_bot": false,
              "username": "FSEssen",
              "first_name": "FS",
              "language_code": "de"
            },
            "text": "City of Essen",
            "message_id": 6
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          "update_id": 958624919
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            "node": "Wikipedia Podcast Agent",
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    "Wikipedia Podcast Agent": {
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}