Exportar registros de diálogo de agentes de IA desde Postgres a Google Sheets

• •Información de conexión de la base de datos PostgreSQL
• •Pueden requerirse credenciales de autenticación para la API de destino
• •Credenciales de API de Google Sheets

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        "content": "## Add a datetime column\nIf not already done, add a `created_at` column to store the datetime of the message\n\n\n👉 Ideally, do it before your first interaction, otherwise all your previous conversations will be set as the time of the execution of this node.\n\n💡 **Replace** the name of your chat memory before executing the request\n\nThe table schema will at least contain the following fields: `session_id`, `message.content`, `message.type`, and `created_at`"
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            "Who": "={{ $json.message.type }}",
            "Date": "={{ $json.created_at.toDateTime().format('yyyy-MM-dd hh:mm:ss') }}",
            "Message": "={{ $json.message.content }}"
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      "parameters": {
        "color": 4,
        "width": 360,
        "height": 540,
        "content": "## For Supabase users\nAlthough in theory you could use Supabase native nodes, I found it easier to use PG. It's also more sustainable in the long term.\n\n### Get your Supabase credentials\n1. Go to your Supabase project\n2. Click on Connect\n3. Go to the \"Transaction pooler\" section and click on \"View parameters\"\n4. Copy/paste the parameters as new PG credentials in your n8n instance.\n"
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      "id": "2389393d-3e62-4349-a1cd-819d2b010f29",
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        "content": "## Get all sessions \nIn this node, we execute a SQL query that collects all sessionIDs.\n\n**Replace** the name of your chat memory before executing the request"
      },
      "typeVersion": 1
    },
    {
      "id": "eb323ee1-7afb-421d-86f4-02846782fb3e",
      "name": "Nota adhesiva4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -500,
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      "parameters": {
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        "width": 440,
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        "content": "## Important - How it works\n- Each time this workflow is executed, all conversations are cleared and replaced in order to always have up to date data.\n- The reason is that the sessionID can be overridden in the AI Agent, with a value more permanent (e.g a userID). This way, the conversation can continue over several sessions."
      },
      "typeVersion": 1
    },
    {
      "id": "3ca21e1a-1c1c-4064-9e06-540aef692291",
      "name": "Nota adhesiva5",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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        140
      ],
      "parameters": {
        "color": 7,
        "width": 280,
        "height": 720,
        "content": "## Loop over each session\nThis node iterates over each session and add it in a separate sheet"
      },
      "typeVersion": 1
    },
    {
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      "name": "Nota adhesiva6",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      "parameters": {
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        "content": "## Google Sheets template\nhttps://docs.google.com/spreadsheets/d/14bKI5J0h18Nv48jbe1IXpZWma6EtqYLFWnpKoCB5Bgc/edit?usp=sharing"
      },
      "typeVersion": 1
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      "name": "Nota adhesiva7",
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      "position": [
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      "parameters": {
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        "width": 1240,
        "height": 700,
        "content": "# Setup\n### 👉 Make sure to double check these steps before launching this workflow for the first time"
      },
      "typeVersion": 1
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    {
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      "name": "Nota adhesiva8",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      "parameters": {
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        "width": 340,
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        "content": "## Clear Google Sheet content\nThis will clear each Google Sheets data in order to have up to date data.\n\nError path: the error path is actually normal, it happens if the `session_id` doesn't already exist.\n\n**TODO**\nReplace the Google Sheets (document) with your own Google Sheets (see Setup if needed)"
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      "typeVersion": 1
    },
    {
      "id": "495026a8-4b3a-4ad8-8bf4-120cfa039a63",
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      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      "parameters": {
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        "width": 640,
        "height": 720,
        "content": "## Create a new Google Sheet based on a template\nThis part of the workflow prepares a fresh sheet for each session by copying a predefined template.\n\n**What it does:**\n**Clear Sheet Content**\nClears the sheet content named after the current `session_id`. This ensures any old data is removed before new data is written.\nNote: If the sheet doesn't exist yet, this step will fail silently: that's expected.\n\n**Duplicate Template Sheet**\n   Duplicates the first sheet (index 0) from your Google Sheets document. This acts as a blank template for each new session.\n\n**Rename Sheet**\n   Renames the newly duplicated sheet with the current `session_id` to clearly identify the session it belongs to.\n\n\n**TODO**\nUpdate the document ID with your own Google Sheets file before running the workflow."
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    },
    {
      "id": "8eaba5f3-3455-43c0-bffa-6a0bbde39de7",
      "name": "Nota adhesiva10",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        220,
        140
      ],
      "parameters": {
        "color": 7,
        "width": 620,
        "height": 720,
        "content": "## Store transcripts in Google Sheets\nThis section writes each session's messages into its corresponding sheet.\n\n**What it does:**\n* Appends new rows to the sheet named after the `session_id`.\n* Each row contains:\n  * **Who**: The speaker type (e.g. user, assistant), taken from `message.type`\n  * **Message**: The message content, from `message.content`\n  * **Date**: Timestamp of the message, formatted as `yyyy-MM-dd hh:mm:ss` using `created_at`\n\n\n**TODO**\nMake sure your sheet includes the following column headers in the first row: `Who`, `Message`, `Date`."
      },
      "typeVersion": 1
    },
    {
      "id": "6f802f26-e4b2-4787-bc0c-f3f800d79f74",
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      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      "parameters": {
        "color": 7,
        "width": 280,
        "height": 720,
        "content": "## Triggers\nTest it manually, then, once validated, create a scheduler for it to run hourly, daily, weekly... or even create an external trigger. \nYour choice!"
      },
      "typeVersion": 1
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    {
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      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      "parameters": {
        "color": 7,
        "width": 860,
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        "content": "# Store n8n AI Agent Memory Logs in Google Sheets\n\n## Overview\nThis n8n workflow retrieves AI agent chat memory logs stored in Postgres and pushes them to Google Sheets, creating one sheet per session. It’s useful for teams building chat-based products or agents and needing to review or analyze session logs in a collaborative format.\n\n## Who is it for\n* Anyone with an AI Agent in Production storing the conversation logs in Postgres (or Supabase) who wants to see transcript and have control\n* Product teams building AI agents or assistants.\n* Teams that want to centralize conversation history for analysis or support.\n* Anyone managing AI chat memory and needing to explore it in a spreadsheet.\n\n## Prerequisites\n* A Postgres database with a `n8n_chat_histories` table with an AI Agent connected to it. If you need an example, you can follow [this tutorial](https://www.youtube.com/watch?v=JjBofKJnYIU)\n* Once done, you need to run the Postgresql query to add the `created_at` column (see Setup > Add a datetime column)\n* Google Sheets access and OAuth credentials connected to n8n.\n* A Google Sheets document set up as a template (see below).\n\n## Google Sheets Template\nThis workflow expects a Google Sheets file where each session will be stored in its own tab. \nA basic tab layout is duplicated and renamed with the session ID.\n👉 [Use this template as a starting point](https://docs.google.com/spreadsheets/d/14bKI5J0h18Nv48jbe1IXpZWma6EtqYLFWnpKoCB5Bgc/edit?usp=sharing)\nNote: You can hide the template after the first tabs have been created\n\n## How it works\n1. **Trigger**\n   The workflow can be launched manually or on a schedule (e.g. daily at noon).\n\n2. **Retrieve sessions**\n   Runs a SQL query to get distinct `session_id` values from the `n8n_chat_histories` table.\n\n3. **Loop over sessions**\nFor each session:\n   * Clears the corresponding sheet (if it exists).\n   * Duplicates the template tab.\n   * Renames it with the current `session_id`.\n\n4. **Fetch messages**\n   Selects all messages linked to the session from Postgres.\n\n5. **Append to sheet**\n   Adds each message to the Google Sheet with columns:\n\n   * **Who**: speaker role (`user`, `assistant`, etc.)\n   * **Message**: text content\n   * **Date**: timestamp from `created_at`, formatted `yyyy-MM-dd hh:mm:ss`\n\n## Notes\n* The sheet is **cleared and rebuilt** each run to ensure logs are up-to-date.\n* If a sheet for a session doesn’t exist, it will be created by duplicating the first tab (template)\n* You can group sessions under a persistent ID (like `user_id`) by overriding `session_id` in your memory config.\n* Works perfectly with Supabase by using PG credentials from the connection pooler.\n"
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