n8n-workflows/workflows/0768_Telegram_Stickynote_Create_Triggered.json

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            {
              "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"
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                    "operator": {
                      "type": "string",
                      "operation": "exists",
                      "singleValue": true
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                    "leftValue": "={{ $json.message.voice.file_id }}",
                    "rightValue": ""
                  }
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              "renameOutput": true
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            {
              "outputKey": "Text",
              "conditions": {
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        "resource": "file"
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      "name": "Transcribe Voice to Text",
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        "operation": "translate"
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      "parameters": {
        "jsonSchemaExample": "  {\n    \"content\": \"Send out invitations.\",\n    \"priority\": 3\n  }"
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      "typeVersion": 1.2
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        "content": "={{ $json.output.content }}",
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          "__rl": true,
          "mode": "list",
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      "parameters": {
        "text": "=Task : {{ $json.content }} Task Link :{{ $json.url }}",
        "chatId": "={{ $('Receive Telegram Messages').item.json.message.chat.id }}",
        "additionalFields": {}
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        -240
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        "width": 260,
        "height": 320,
        "content": " \n**This workflow listens for incoming voice or text messages from Telegram users.** "
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      "typeVersion": 1
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        "height": 260,
        "content": " **Voice messages are fetched from Telegram and transcribed into text using OpenAI's Whisper API.**  "
      },
      "typeVersion": 1
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    {
      "id": "beb460c9-0412-40c4-a3cf-76660eb0e1b8",
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      "type": "n8n-nodes-base.stickyNote",
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        "height": 440,
        "content": " \n**The LLM (OpenAI Chat Model) analyzes the text and breaks it down into tasks and sub-tasks, formatted for Todoist.**  "
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