{
  "meta": {
    "templateCredsSetupCompleted": true
  },
  "nodes": [
    {
      "id": "e87d3723-7e7a-4ff3-bffb-b2bd2096bd34",
      "name": "OpenAI Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        1080,
        260
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o-mini"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "name": "<your credential>"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "d25bf3ea-0de4-4317-9205-651f8a1a6ba8",
      "name": "Basic LLM Chain",
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "position": [
        1060,
        40
      ],
      "parameters": {
        "text": "={{ $json.text }}",
        "messages": {
          "messageValues": [
            {
              "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"
            }
          ]
        },
        "promptType": "define",
        "hasOutputParser": true
      },
      "typeVersion": 1.5
    },
    {
      "id": "ddfe59c5-574c-470b-b2cc-efa05da74972",
      "name": "Receive Telegram Messages",
      "type": "n8n-nodes-base.telegramTrigger",
      "position": [
        -220,
        -100
      ],
      "parameters": {
        "updates": [
          "message"
        ],
        "additionalFields": {}
      },
      "credentials": {
        "telegramApi": {
          "name": "<your credential>"
        }
      },
      "typeVersion": 1.1
    },
    {
      "id": "23f2cedd-bcd2-4a94-acc1-8829b30553dc",
      "name": "Voice or Text?",
      "type": "n8n-nodes-base.switch",
      "position": [
        140,
        -20
      ],
      "parameters": {
        "rules": {
          "values": [
            {
              "outputKey": "Audio",
              "conditions": {
                "options": {
                  "version": 2,
                  "leftValue": "",
                  "caseSensitive": true,
                  "typeValidation": "strict"
                },
                "combinator": "and",
                "conditions": [
                  {
                    "id": "af30c479-4542-405f-b315-37c50c4e2bef",
                    "operator": {
                      "type": "string",
                      "operation": "exists",
                      "singleValue": true
                    },
                    "leftValue": "={{ $json.message.voice.file_id }}",
                    "rightValue": ""
                  }
                ]
              },
              "renameOutput": true
            },
            {
              "outputKey": "Text",
              "conditions": {
                "options": {
                  "version": 2,
                  "leftValue": "",
                  "caseSensitive": true,
                  "typeValidation": "strict"
                },
                "combinator": "and",
                "conditions": [
                  {
                    "id": "a3ca8cd4-fbb2-40b5-829a-24724f2fbc85",
                    "operator": {
                      "type": "string",
                      "operation": "exists",
                      "singleValue": true
                    },
                    "leftValue": "={{ $json.message.text || \"\" }}",
                    "rightValue": ""
                  }
                ]
              },
              "renameOutput": true
            },
            {
              "outputKey": "Error",
              "conditions": {
                "options": {
                  "version": 2,
                  "leftValue": "",
                  "caseSensitive": true,
                  "typeValidation": "strict"
                },
                "combinator": "and",
                "conditions": [
                  {
                    "id": "9bcfdee0-2f09-4037-a7b9-689ef392371d",
                    "operator": {
                      "type": "string",
                      "operation": "exists",
                      "singleValue": true
                    },
                    "leftValue": "error",
                    "rightValue": ""
                  }
                ]
              },
              "renameOutput": true
            }
          ]
        },
        "options": {}
      },
      "typeVersion": 3.2
    },
    {
      "id": "128e8268-a256-4256-8757-9ece8be86d75",
      "name": "Fetch Voice Message",
      "type": "n8n-nodes-base.telegram",
      "position": [
        500,
        -120
      ],
      "parameters": {
        "fileId": "={{ $json.message.voice.file_id }}",
        "resource": "file"
      },
      "credentials": {
        "telegramApi": {
          "name": "<your credential>"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "d8219ba5-bb33-44f5-a9a2-65fd16be335b",
      "name": "Transcribe Voice to Text",
      "type": "@n8n/n8n-nodes-langchain.openAi",
      "position": [
        720,
        -120
      ],
      "parameters": {
        "options": {},
        "resource": "audio",
        "operation": "translate"
      },
      "credentials": {
        "openAiApi": {
          "name": "<your credential>"
        }
      },
      "typeVersion": 1.8
    },
    {
      "id": "0c5f5568-fd14-4c65-8661-ebc5803158ce",
      "name": "Prepare for LLM",
      "type": "n8n-nodes-base.set",
      "position": [
        620,
        100
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "b324a329-3c49-4f7f-b683-74331b7fe7f8",
              "name": "=text",
              "type": "string",
              "value": "={{$json.message.text}}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "76ed8f5c-59f7-4cb9-9e59-25ac7e9e8c60",
      "name": "Extract Tasks",
      "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
      "position": [
        1220,
        260
      ],
      "parameters": {
        "jsonSchemaExample": "  {\n    \"content\": \"Send out invitations.\",\n    \"priority\": 3\n  }"
      },
      "typeVersion": 1.2
    },
    {
      "id": "7d0dbcb7-aac1-4eea-8f0b-6173148bfd3f",
      "name": "Create Todoist Tasks",
      "type": "n8n-nodes-base.todoist",
      "position": [
        1620,
        40
      ],
      "parameters": {
        "content": "={{ $json.output.content }}",
        "options": {
          "priority": "={{ $json.output.priority }}"
        },
        "project": {
          "__rl": true,
          "mode": "list",
          "value": "2349786654",
          "cachedResultName": "Task"
        }
      },
      "credentials": {
        "todoistApi": {
          "name": "<your credential>"
        }
      },
      "typeVersion": 2.1
    },
    {
      "id": "544b3f63-8ac1-4f81-9c24-943df16d9324",
      "name": "Send Confirmation",
      "type": "n8n-nodes-base.telegram",
      "position": [
        1880,
        40
      ],
      "parameters": {
        "text": "=Task : {{ $json.content }} Task Link :{{ $json.url }}",
        "chatId": "={{ $('Receive Telegram Messages').item.json.message.chat.id }}",
        "additionalFields": {}
      },
      "credentials": {
        "telegramApi": {
          "name": "<your credential>"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "b244f935-3047-4581-84ac-b01b2f962c1d",
      "name": "Sticky Note2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -260,
        -240
      ],
      "parameters": {
        "width": 260,
        "height": 320,
        "content": " \n**This workflow listens for incoming voice or text messages from Telegram users.** "
      },
      "typeVersion": 1
    },
    {
      "id": "fa99930d-8e75-4f1e-aa9b-47c38e611538",
      "name": "Sticky Note3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        440,
        -220
      ],
      "parameters": {
        "width": 460,
        "height": 260,
        "content": " **Voice messages are fetched from Telegram and transcribed into text using OpenAI's Whisper API.**  "
      },
      "typeVersion": 1
    },
    {
      "id": "beb460c9-0412-40c4-a3cf-76660eb0e1b8",
      "name": "Sticky Note4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1000,
        -60
      ],
      "parameters": {
        "width": 380,
        "height": 440,
        "content": " \n**The LLM (OpenAI Chat Model) analyzes the text and breaks it down into tasks and sub-tasks, formatted for Todoist.**  "
      },
      "typeVersion": 1
    }
  ],
  "connections": {
    "Extract Tasks": {
      "ai_outputParser": [
        [
          {
            "node": "Basic LLM Chain",
            "type": "ai_outputParser",
            "index": 0
          }
        ]
      ]
    },
    "Voice or Text?": {
      "main": [
        [
          {
            "node": "Fetch Voice Message",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "Prepare for LLM",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Basic LLM Chain": {
      "main": [
        [
          {
            "node": "Create Todoist Tasks",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Prepare for LLM": {
      "main": [
        [
          {
            "node": "Basic LLM Chain",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "Basic LLM Chain",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Fetch Voice Message": {
      "main": [
        [
          {
            "node": "Transcribe Voice to Text",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Create Todoist Tasks": {
      "main": [
        [
          {
            "node": "Send Confirmation",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Transcribe Voice to Text": {
      "main": [
        [
          {
            "node": "Basic LLM Chain",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Receive Telegram Messages": {
      "main": [
        [
          {
            "node": "Voice or Text?",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}