Telegram, AIMLAPI, Google 스프레드시트를 사용하여 다모델 AI 채팅 로봇을 만들기

• •Telegram Bot Token
• •대상 API의 인증 정보가 필요할 수 있음
• •Google Sheets API 인증 정보

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              "operator": {
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              "leftValue": "={{$('📈 Count Today’s Requests').item.json.data.length }}",
              "rightValue": "={{ $json.daily_limit }}"
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      "parameters": {
        "text": "=Sorry! Your *daily limit of {{ $('🔢 Set Daily Limit').item.json.daily_limit }} generations* is exceeded!",
        "chatId": "={{ $('📩 Receive Telegram Message').item.json.message.chat.id }}",
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        "content": "## Incoming Message\n### Handle incoming user messages from Telegram."
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        "content": "##  Usage Limit Check\n### Check how many times the user has generated today and enforce the daily limit.\n\n"
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        "content": "## Delivery & Logging\n### Send the final image and caption to the user, and log the result to Google Sheets.\n\n\n\n\n\n\n"
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      "position": [
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        "content": "# 🧠 AI Chat & Model Selector Bot — Telegram + AIMLAPI (via n8n)\n\nThis workflow enables Telegram users to interact with multiple AI models via dynamic prompts. \nUsers specify the desired model by sending a message in the format:\n\n```\n#model_id [your prompt text here]\n```\n\nAdditionally, users can request a list of available models by sending the command `/models`.\n\n---\n\n## 🚀 Key Features:\n- **Multi-model selection via hashtags:** Example `#openai/gpt-4o What is AI?`\n- **/models command**: Lists all available model IDs grouped by provider.\n- **Daily generation limit per user:** Enforced via Google Sheets.\n- **Automatic model validation:** Ensures model_id exists before generation.\n- **Seamless Telegram interaction**: Responses are sent back to the chat.\n- **Activity logging:** Every query & result is logged in Google Sheets."
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        "content": "## ⚙️ Customization Options:\n- The **daily limit** can be configured in the `Set Daily Limit` node.\n- You can expand functionality by adding:\n  * NSFW content filtering.\n  * Shortcuts/Aliases for models (e.g., `#fast` => Groq model).\n  * Additional commands like `/help`, `/usage`, `/history`.\n  * Custom response formatting (e.g., Markdown styling, emojis).\n  * Per-user API key support (multi-tenant).\n\n---\n\n## 💡 Example User Flow:\n\n### 1. User initiates chat with a model:\n```\n#openai/gpt-4o Explain Quantum Computing.\n```\n- The bot parses the model_id and sends the prompt to AI/ML API.\n- The AI's response is returned in Telegram.\n\n### 2. User requests available models:\n```\n/models\n```\n- The bot fetches the latest model list from AI/ML API.\n- The models are grouped by provider and sent as multiple messages.\n\n### 3. Daily Limit Enforcement:\n- Each user has a daily limit (default: 5).\n- If exceeded, the bot replies with:\n```\nSorry! Your daily limit of 5 generations is exceeded!\n```"
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        "content": "# 🛠 Setup Guide for Deployment\n\n### 1. 📲 Telegram Bot Creation:\n- Go to [@BotFather](https://t.me/BotFather)\n- Use `/newbot`, set a name and username.\n- Save the provided API token.\n\n---\n\n### 2. 🔐 Telegram API Credentials in n8n:\n- Navigate to `Credentials` in n8n.\n- Add a new `Telegram API` credential.\n- Paste the BotFather token.\n\n---\n\n### 3. 📗 Google Sheets Setup:\n- Create a new Google Sheet named `Sheet1`.\n- Add the following headers:\n```\nuser_id | date | query | result\n```\n- Share access to your **Google Service Account** or **OAuth email** \n(depending on your Google Sheets integration in n8n).\n\n---\n\n### 4. 🔌 AIMLAPI API Key Configuration:\n- Obtain your API Key from [AI/ML API](https://aimlapi.com/app).\n- In n8n, create a new `AI/ML API` credential:\n* Base URL: `https://api.aimlapi.com/v1`\n* API Key: your_key_here.\n- Test the connection.\n\n---\n\n### 5. ⚙️ Optional Enhancements:\n- Implement caching of model lists.\n- Add interactive inline buttons (e.g., “Select Model” UX).\n- Implement per-user statistics dashboard."
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      "position": [
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      "parameters": {
        "color": 5,
        "width": 560,
        "height": 480,
        "content": "## 📁 Data Logged to Google Sheets:\nFor each successful generation, the following data is logged:\n| user_id | date | query | result |\n| ------- | ---- | ----- | ------ |\n\nThis log helps monitor usage limits, analyze user behavior, and track API interactions.\n\n---\n\n## 🧪 Testing & Debugging Tips:\n- Use a **separate Telegram chat/channel** for testing.\n- Add `Set` or `Console` nodes to inspect payloads for debugging.\n- Always test via **sending real messages to the bot**, not through n8n's “Execute Node”.\n- Test `/models` command thoroughly — ensure it splits long lists into multiple messages.\n- Validate edge cases:\n  * Missing `#model_id`\n  * Exceeding daily limits\n  * Invalid or deprecated model IDs\n- Regularly monitor Google Sheets for log integrity."
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        "operation": "sendChatAction"
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      "type": "n8n-nodes-base.httpRequest",
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        "url": "https://api.aimlapi.com/v1/models",
        "options": {}
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    {
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      "name": "텍스트 메시지 전송",
      "type": "n8n-nodes-base.telegram",
      "position": [
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      "webhookId": "3f0e254e-74a7-4c06-b3ee-7aa0eca216d7",
      "parameters": {
        "text": "={{ $json.content }}",
        "chatId": "={{ $('📩 Receive Telegram Message').item.json.message.chat.id }}",
        "additionalFields": {
          "appendAttribution": false
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        "language": "python",
        "pythonCode": "data = _input.first().json['data']\n\ngrouped_models = {}\n\nfor item in data:\n    if item.get('type') != 'chat-completion':\n        continue\n\n    developer = item.get('info', {}).get('developer', 'Unknown')\n    model_entry = {\n        'id': item.get('id'),\n        'name': item.get('info', {}).get('name', item.get('id'))\n    }\n\n    if developer not in grouped_models:\n        grouped_models[developer] = []\n\n    grouped_models[developer].append(model_entry)\n\n# Формируем список объектов для вывода\noutput_items = []\n\nfor developer, models in grouped_models.items():\n    lines = [f\"🧑‍💻 *{developer}*\"]\n    for model in models:\n        lines.append(f\"• `{model['id']}` — {model['name']}\")\n    \n    content = \"\\n\".join(lines)\n    output_items.append({'json': {'content': content}})\n\nreturn output_items\n"
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        "additionalFields": {
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            "query": "={{ $('📩 Receive Telegram Message').item.json.message.text }}",
            "result": "={{ $json.result.text }}",
            "user_id": "={{ $('📩 Receive Telegram Message').item.json.message.from.id }}"
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          "value": 2060422727,
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          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/19rsFwln4KMpGjOzxOdz7OC_-kRH8_qD4Agx5lXlDD9k/edit?usp=drivesdk",
          "cachedResultName": "AI bot usage statistic"
        }
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      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "kID0866UxrCrODzt",
          "name": "Google Sheets account"
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      "parameters": {
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        "height": 320,
        "content": "##  Usage Limit Check\n### Check how many times the user has generated today and enforce the daily limit.\n\n"
      },
      "typeVersion": 1
    },
    {
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      "name": "모델 조회 또는 메시지 처리?",
      "type": "n8n-nodes-base.switch",
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      "parameters": {
        "rules": {
          "values": [
            {
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              "conditions": {
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                  "caseSensitive": true,
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                "combinator": "and",
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                    "operator": {
                      "type": "string",
                      "operation": "contains"
                    },
                    "leftValue": "={{ $json.message.text }}",
                    "rightValue": "/models"
                  }
                ]
              },
              "renameOutput": true
            },
            {
              "outputKey": "Process Message",
              "conditions": {
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                  "typeValidation": "strict"
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                "combinator": "and",
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                    "leftValue": "={{ $json.message.text }}",
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      "name": "🧠 메시지 생성 (AI/ML API | GPT-4o)",
      "type": "n8n-nodes-aimlapi.aimlApi",
      "position": [
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      ],
      "parameters": {
        "model": "openai/gpt-4o",
        "prompt": "={{ $('📩 Receive Telegram Message').item.json.message.text }}",
        "options": {},
        "requestOptions": {}
      },
      "credentials": {
        "aimlApi": {
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          "name": "AI/ML account"
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      "type": "n8n-nodes-aimlapi.aimlApi",
      "position": [
        1824,
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      ],
      "parameters": {
        "model": "={{ $json.model_id }}",
        "prompt": "={{ $json.message }}",
        "options": {},
        "requestOptions": {}
      },
      "credentials": {
        "aimlApi": {
          "id": "6Z9fP7Dy0ZkIBXXw",
          "name": "AI/ML account"
        }
      },
      "typeVersion": 1
    },
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      "id": "2bbb1df7-7035-475c-ae62-e8996f22bea1",
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      "type": "n8n-nodes-base.code",
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      "parameters": {
        "jsCode": "const text = $('📩 Receive Telegram Message').first().json.message.text;\n\nif (!text.startsWith('#')) {\n  throw new Error('Message must start with a #model_tag');\n}\n\nconst parts = text.split(' ', 2);\n\nif (parts.length < 2) {\n  throw new Error('Message must contain both #model_tag and prompt text.');\n}\n\nconst model_id = parts[0].substring(1);  // Убираем #\nconst message = parts[1];\n\nreturn [\n  {\n    json: {\n      model_id,\n      message\n    }\n  }\n];\n"
      },
      "typeVersion": 2
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