Agente de IA: Asistente de Google Calendar con OpenAI

• •Clave de API de OpenAI

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  "name": "AI Agent : Google calendar assistant using OpenAI",
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      "name": "Google Calendar - Obtener Eventos",
      "type": "n8n-nodes-base.googleCalendarTool",
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      "parameters": {
        "options": {
          "timeMax": "={{ $fromAI('end_date') }}",
          "timeMin": "={{ $fromAI('start_date') }}"
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        "calendar": {
          "__rl": true,
          "mode": "list",
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          "cachedResultName": ""
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        "operation": "getAll",
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        "toolDescription": "Use this tool when you’re asked to retrieve events data."
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      "credentials": {
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        "end": "={{ $fromAI('end_date') }} ",
        "start": "={{ $fromAI('start_date') }} ",
        "calendar": {
          "__rl": true,
          "mode": "list",
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          "cachedResultName": ""
        },
        "descriptionType": "manual",
        "toolDescription": "Use this Google Calendar tool when you are asked to create an event.",
        "additionalFields": {
          "summary": "={{ $fromAI('event_title') }} ",
          "attendees": [],
          "description": "={{ $fromAI('event_description') }} "
        },
        "useDefaultReminders": false
      },
      "credentials": {
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          "name": "Google Calendar account"
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        "content": "## Chat trigger - When a message is received\n\nThis node is the **entry point of the workflow**.  \nIt triggers the workflow whenever a message is sent to the **chat interface**.\n\nOptions with n8n:\n- **Embed the chat interface** anywhere you want.\n- Use a **webhook node** instead of this node to connect with interfaces like **[Streamlit](https://docs.streamlit.io/develop/tutorials/llms/build-conversational-apps)** or **[OpenWebUI](https://docs.openwebui.com/)**.\n- Use nodes for communication platforms (**Slack**, **Teams**, **Discord**, etc.) if you know how to configure them.\n"
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        "content": "## Tools Agent - Calendar AI Agent\n\nThis **node** configures the **AI agent** for interaction with Google Calendar.  \nIt includes the following features:\n\n- A **prompt source**: This is the user message derived from the chat input of the preceding node (`When chat message is received`).\n- A **system message**: This defines the system prompt to guide the AI agent's behavior. It incorporates the variable `{{ DateTime.local().toFormat('cccc d LLLL yyyy') }`, allowing the AI agent to determine the current date and interact with Google Calendar accordingly. For example, the agent can understand a request like \"Create an event called 'n8n workflow review' for next Tuesday.\"\n\n\nn8n nodes come with built-in **guardrails**, ensuring that if the user requests tasks outside the AI agent's setup, it may not function as intended. (Feel free to test it!)\n"
      },
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    {
      "id": "9b259245-5fd5-4798-973e-bc6aa15da20f",
      "name": "Agente de IA para Calendario",
      "type": "@n8n/n8n-nodes-langchain.agent",
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      "parameters": {
        "text": "={{ $json.chatInput }}",
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          "systemMessage": "=You are a Google Calendar assistant.\nYour primary goal is to assist the user in managing their calendar effectively using two tools: Event Creation and Event Retrieval. Always base your responses on the current date: \n{{ DateTime.local().toFormat('cccc d LLLL yyyy') }}.\nGeneral Guidelines:\nIf the user's initial message is vague (e.g., \"hello\" or a generic greeting) or does not specify a request, explain your capabilities clearly:\nExample: \"Hello! I can help you manage your Google Calendar. You can ask me to create an event or retrieve event data. What would you like me to do?\"\nIf the user specifies a request in their first message, begin preparing to use the appropriate tool:\nFor event creation, gather necessary details like start date, end date, title, and description.\nFor event retrieval, ask for the date range or time period they want to query.\nTool: Event Creation\nWhen asked to create an event:\n\nRequest the start and end dates/times from the user.\nDate format: YYYY-MM-DD HH:mm:ss\nCollect the following information:\nstart_date: Exact start date and time of the event.\nend_date: Exact end date and time of the event.\nevent_title: Event title in uppercase. Suggest one if not provided.\nevent_description: Generate a brief description and present it for confirmation.\nTool: Event Retrieval\nWhen asked to retrieve events:\n\nAsk for the date range or period they are interested in. Examples:\nFor \"last week,\" retrieve events from Monday of the previous week to Friday of the same week.\nFor \"today,\" use the current date.\nFormat the date range:\nstart_date: Start date and time in YYYY-MM-DD HH:mm:ss.\nend_date: End date and time in YYYY-MM-DD HH:mm:ss.\nKey Behaviors:\nClarity: Provide a clear and helpful introduction when the user's request is unclear.\nValidation: Confirm details with the user before finalizing actions.\nAdaptation: Handle varying levels of detail in requests (e.g., \"Add a meeting for next Monday morning\" or \"Retrieve my events for this weekend\").\nProactivity: Offer suggestions to fill in missing details or clarify ambiguous inputs.\nLanguage Matching: Ensure all interactions, including event titles, descriptions, and messages, are in the user's language to provide a seamless experience."
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        "content": "## OpenAI chat model\n\nThis node specifies the chat model used by the agent.  \nIn the template, the **default LLM is gpt-4o** for its high relevance.\n\nOther options:\n- You can **try gpt-4o-mini**, which is more cost-effective.\n- You can also choose **other LLM providers besides OpenAI**, but make sure the LLM you select **supports tool-calling**.\n"
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        "content": "## Window buffer memory\n\nThis node manages the **memory** of the agent, specifically the **context window length** for chat history.  \nThe default is set to 5 messages.\n\nNote:  \nThe **memory** is **temporary**. If you want to **store conversations with the agent**, you should use other nodes like **Postgres chat memory**.  \nThis can be easily set up with services like **[Supabase](https://supabase.com/)**.\n"
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        "content": "## Google Calendar - Get Events\n\nThis sub-node is a tool used by the AI agent.  \nIts purpose is to **retrieve events based on the user input**.  \nFor example: *\"Can you give me the events from last week about internal process ?\"*\n\nThe AI agent is designed to **use this tool only** when it has a **date range**.  \nIf the user hasn’t provided a date range, the **AI agent will ask the user** for it.\n\nThe **variables** `{{ $fromAI('start_date') }}` and `{{ $fromAI('end_date') }}` are **dynamically filled by the AI**.\n"
      },
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    },
    {
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        "content": "## Google Calendar - Create Events\n\nThis sub-node is a tool used by the AI agent.  \nIts purpose is to **create events based on the user input**.  \nFor example: \"Can you create an event 'Quarter revenue meeting' on [date] from [hour] to [hour] ?\"\n\nThe AI agent is designed to **use this tool only** when it has a **date range**.  \nIf the user hasn’t provided a **date range**, the AI agent will **ask the user** for it.  \nThe variables `{{ $fromAI('start_date') }}` and `{{ $fromAI('end_date') }}` are dynamically filled by the AI.\n\nBefore creating the event, the AI agent will **confirm with the user** if the **title** and **description** of the event are correct.  \nThe variables used for this are:\n- `{{ $fromAI('event_title') }}`\n- `{{ $fromAI('event_description') }}`\n"
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        "content": "## Having fun with it ? Here’s how to level up this AI agent !  \n\nThis workflow demonstrates **how easily you can set up an AI agent to call tools** for you using **n8n**.  \nThe tasks here are **useful but very basic**.  \n\nIf you want to **enhance the tool-calling capabilities**, consider the following:\n\n- Explore the **\"options\"** in the Google Calendar nodes to see additional features you can use.  \n  For example, let the AI agent add attendees to events it creates.\n\n- Implement the AI agent with your **teammates and link it to each calendar**.  \n  Use a `{{ $fromAI('') }}` variable for the calendar field and refine the prompts to suit your needs.\n\n- Add **more actions** for the AI agent to perform with the **Google Calendar API**, expanding its functionality.\n"
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