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"name": "OpenAI Chat Model",
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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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"type": "n8n-nodes-base.switch",
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"parameters": {
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{
"outputKey": "Audio",
"conditions": {
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"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
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"combinator": "and",
"conditions": [
{
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"operator": {
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"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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{
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"operation": "translate"
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{
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"type": "n8n-nodes-base.set",
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"assignments": {
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"type": "@n8n\/n8n-nodes-langchain.outputParserStructured",
"position": [
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"jsonSchemaExample": " {\n \"content\": \"Send out invitations.\",\n \"priority\": 3\n }"
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{
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"parameters": {
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"mode": "list",
"value": "2349786654",
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"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": []
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"type": "n8n-nodes-base.stickyNote",
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"content": " \n**This workflow listens for incoming voice or text messages from Telegram users.** "
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"type": "n8n-nodes-base.stickyNote",
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"content": " **Voice messages are fetched from Telegram and transcribed into text using OpenAI's Whisper API.** "
},
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{
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"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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