Ai Agent To Chat With You Search Console Data, Using Openai And Postgres

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    "name": "AI Agent to chat with you Search Console Data, using OpenAI and Postgres",
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            "name": "Postgres Chat Memory",
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                "tableName": "insights_chat_histories"
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                    "name": "Postgres"
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            "parameters": {
                "model": "gpt-4o",
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                    "maxTokens": 16000
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            "credentials": {
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                            "name": "chatInput",
                            "type": "string",
                            "value": "={{ $json.body?.chatInput || $json.chatInput }}"
                        },
                        {
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                            "name": "sessionId",
                            "type": "string",
                            "value": "={{ $json.body?.sessionId || $json.sessionId }}"
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                        {
                            "id": "4b688c46-b60f-4f0a-83d8-e283f2d7055c",
                            "name": "date_message",
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                "content": "## Webhook - ChatInput\n\nThis webhook serves as the endpoint for receiving `ChatInput` data. Ensure that you include:\n- `chatInput` \u2013 the content you wish to send (\ud83d\ude09)\n- `sessionId` \u2013 a unique identifier for the session\n\nIf you're using an interface such as **Open WebUI**, the `sessionId` will be generated automatically."
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            "parameters": {
                "path": "a6820b65-76cf-402b-a934-0f836dee6ba0\/chat",
                "options": [],
                "httpMethod": "POST",
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                "content": "## Set fields\n\nThis node sets three fields:\n- `chatInput`: retrieved from the previous webhook node\n- `sessionId`: retrieved from the previous webhook node\n- `date_message`: formatted within this node. This will be used later to help the AI agent determine the date range for retrieving Search Console data."
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                "content": "## AI Agent - Tools Agent\n\nThis AI Agent is configured with a system prompt that instructs it to:\n- On the first user message, **retrieve available Search Console properties** and offer the user the option to **fetch data from these properties**\n- Based on the user\u2019s natural language input, **construct an API call** to the selected Search Console property and retrieve the requested data\n- Present the data in a **markdown-formatted table**\n\nThe AI Agent has a friendly tone and is designed to **confirm the user\u2019s data requirements accurately** before executing any API requests.\n"
            },
            "typeVersion": 1
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        {
            "id": "c44c6402-9ddd-4a7b-bc5a-b6c3679a3f68",
            "name": "Call Search Console Tool",
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            "parameters": {
                "name": "SearchConsoleRequestTool",
                "workflowId": {
                    "__rl": true,
                    "mode": "list",
                    "value": "PoiRk5w0xd1ysq4U",
                    "cachedResultName": "My workflow 10"
                },
                "description": "Call this tool when you need to get the website_list or custom_insights",
                "jsonSchemaExample": ""
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                "content": "\n\n\n\n\n\n\n\n\n\n\n### AI Agent Sub-node - OpenAI Chat Model\n\nThis sub-node utilizes the selected **OpenAI Chat Model**. You can replace it with any LLM that **supports tool calling**.\n\n### \u26a0\ufe0f Choose Your Model\nIn this template, the **default model is `gpt-4o`**, a **costly option**. If you'd like a more **affordable alternative**, select `gpt4-o-mini`, though note that responses may occasionally be of slightly lower quality compared to `gpt-4o`."
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                "content": "\n\n\n\n\n\n\n\n\n\n\n### AI Agent Sub-node - Postgres Chat Memory\n\nConnect your **Postgres credentials** and specify a **table name** to store the chat history. In this template, the default table name is `insights_chat_histories`, and the **context window length is set to 5**.\n\n**\ud83d\udc4b Tip:** If you don\u2019t have a Postgres database, you can quickly **set one up with [Supabase](https:\/\/supabase.com\/)**.\n"
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                "content": "\n\n\n\n\n\n\n\n\n\n\n### AI Agent Sub-node - Call Search Console Tool\n\nThis **tool is used by the AI Agent** to:\n- Retrieve the **list of accessible properties in Search Console**\n- **Fetch Search Console data** based on the user\u2019s natural language request\n\n"
            },
            "typeVersion": 1
        },
        {
            "id": "07805c90-7ba5-44d0-b6eb-5a65efb0f8be",
            "name": "Sticky Note5",
            "type": "n8n-nodes-base.stickyNote",
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            "parameters": {
                "color": 7,
                "width": 347.9910714285712,
                "height": 516.8973214285712,
                "content": "## Respond to Webhook\n\nThis node is used to send a response back to the user.\n\n**\ud83d\udc4b Tip:** `intermediateSteps` are configured, allowing you to use raw data fetched from Search Console to **create charts or other visualizations** if desired.\n"
            },
            "typeVersion": 1
        },
        {
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            "parameters": {
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                "content": "## Tool Call Trigger\n\nThis **node is triggered when the AI Agent needs to retrieve the `website_list`** (accessible Search Console properties) or **`custom_insights`** based on user data.\n"
            },
            "typeVersion": 1
        },
        {
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                "rules": {
                    "values": [
                        {
                            "outputKey": "custom_insights",
                            "conditions": {
                                "options": {
                                    "version": 2,
                                    "leftValue": "",
                                    "caseSensitive": true,
                                    "typeValidation": "strict"
                                },
                                "combinator": "and",
                                "conditions": [
                                    {
                                        "id": "a30fe6a6-7d0a-4f14-8492-ae021ddc8ec6",
                                        "operator": {
                                            "type": "string",
                                            "operation": "contains"
                                        },
                                        "leftValue": "={{ $json.request_type }}",
                                        "rightValue": "custom_insights"
                                    }
                                ]
                            },
                            "renameOutput": true
                        },
                        {
                            "outputKey": "website_list",
                            "conditions": {
                                "options": {
                                    "version": 2,
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                                        "leftValue": "={{$json.request_type}}",
                                        "rightValue": "website_list"
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                            "renameOutput": true
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            "id": "6860ff98-4050-4f64-b8c1-a153e3388df0",
            "name": "Set fields - Consruct API CALL",
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            "position": [
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            "parameters": {
                "options": [],
                "assignments": {
                    "assignments": [
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                            "id": "06373437-8288-4171-9f98-e8a417220dd4",
                            "name": "request_type",
                            "type": "string",
                            "value": "={{ $json.query.parseJson().request_type }}"
                        },
                        {
                            "id": "da45c0c5-05f6-4107-81aa-8c08c972d9bf",
                            "name": "start_date",
                            "type": "string",
                            "value": "={{ $json.query.parseJson().startDate }}"
                        },
                        {
                            "id": "59d55034-c612-43d7-9700-4cacdb630ec2",
                            "name": "end_date",
                            "type": "string",
                            "value": "={{ $json.query.parseJson().endDate }}"
                        },
                        {
                            "id": "4c2478c0-7f96-4d3d-a632-089307dc989e",
                            "name": "dimensions",
                            "type": "string",
                            "value": "={{ $json.query.parseJson().dimensions }}"
                        },
                        {
                            "id": "eceefbf9-44e5-4617-96ea-58aca2a29618",
                            "name": "rowLimit",
                            "type": "number",
                            "value": "={{ $json.query.parseJson().rowLimit }}"
                        },
                        {
                            "id": "4e18386e-8548-4385-b620-43efbb11cd63",
                            "name": "startRow",
                            "type": "number",
                            "value": "={{ $json.query.parseJson().startRow}}"
                        },
                        {
                            "id": "a9323a7b-08b4-4015-b3d7-632bcdf56f4e",
                            "name": "property",
                            "type": "string",
                            "value": "={{ encodeURIComponent($json.query.parseJson().property) }}"
                        }
                    ]
                }
            },
            "typeVersion": 3.4
        },
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                "content": "## Set Fields - Construct API Call\n\nThis node configures fields based on the JSON sent by the AI agent:\n- The `request_type` field determines the route: `website_list` (to retrieve the list of websites) or `custom_insights` (to get insights from Search Console)\n- Additional fields are set to construct the API call, following the **[Search Console API Documentation](https:\/\/developers.google.com\/webmaster-tools\/v1\/searchanalytics\/query?hl=en)**\n"
            },
            "typeVersion": 1
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        {
            "id": "e6ef5c28-01e4-4a0b-9081-b62ec28be635",
            "name": "Set fields - Create searchConsoleDataArray",
            "type": "n8n-nodes-base.set",
            "position": [
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            "parameters": {
                "options": [],
                "assignments": {
                    "assignments": [
                        {
                            "id": "2cffd36f-72bd-4535-8427-a88028ea0c4c",
                            "name": "searchConsoleData",
                            "type": "array",
                            "value": "={{ $json.rows }}"
                        }
                    ]
                }
            },
            "typeVersion": 3.4
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        {
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            "name": "Set fields - Create searchConsoleDataArray 2",
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                "assignments": {
                    "assignments": [
                        {
                            "id": "2cffd36f-72bd-4535-8427-a88028ea0c4c",
                            "name": "searchConsoleData",
                            "type": "array",
                            "value": "={{ $json.siteEntry }}"
                        }
                    ]
                }
            },
            "typeVersion": 3.4
        },
        {
            "id": "24981eea-980e-4e07-9036-d0042c5b2fbe",
            "name": "Search Console - Get Custom Insights",
            "type": "n8n-nodes-base.httpRequest",
            "position": [
                1620,
                980
            ],
            "parameters": {
                "url": "=https:\/\/www.googleapis.com\/webmasters\/v3\/sites\/{{ $json.property }}\/searchAnalytics\/query",
                "method": "POST",
                "options": [],
                "jsonBody": "={\n \"startDate\": \"{{ $json.start_date }}\",\n \"endDate\": \"{{ $json.end_date }}\",\n \"dimensions\": {{ $json.dimensions }},\n \"rowLimit\": {{ $json.rowLimit }},\n \"startRow\": 0,\n \"dataState\":\"all\"\n}",
                "sendBody": true,
                "sendQuery": true,
                "sendHeaders": true,
                "specifyBody": "json",
                "authentication": "genericCredentialType",
                "genericAuthType": "oAuth2Api",
                "queryParameters": {
                    "parameters": [
                        []
                    ]
                },
                "headerParameters": {
                    "parameters": [
                        {
                            "name": "Content-Type",
                            "value": "application\/json"
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                    ]
                }
            },
            "credentials": {
                "oAuth2Api": {
                    "id": "",
                    "name": "search-console"
                }
            },
            "typeVersion": 4.2
        },
        {
            "id": "645ff407-857d-4629-926b-5cfc52cfa8ba",
            "name": "Sticky Note9",
            "type": "n8n-nodes-base.stickyNote",
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            "parameters": {
                "color": 7,
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                "content": "## Search Console - Get Custom Insights\n\nThis node **performs the API call to retrieve data from Search Console**.\n"
            },
            "typeVersion": 1
        },
        {
            "id": "15aa66e2-f288-4c86-8dad-47e22aa9104f",
            "name": "Sticky Note10",
            "type": "n8n-nodes-base.stickyNote",
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            "parameters": {
                "color": 7,
                "width": 370.3910714285712,
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                "content": "## Search Console - Get List of Properties\n\nThis node **performs the API call to retrieve the list of accessible properties from Search Console**.\n"
            },
            "typeVersion": 1
        },
        {
            "id": "cd804a52-833a-451a-8e0c-f640210ee2c4",
            "name": "## Search Console - Get List of Properties",
            "type": "n8n-nodes-base.httpRequest",
            "position": [
                1620,
                1340
            ],
            "parameters": {
                "url": "=https:\/\/www.googleapis.com\/webmasters\/v3\/sites",
                "options": [],
                "sendHeaders": true,
                "authentication": "genericCredentialType",
                "genericAuthType": "oAuth2Api",
                "headerParameters": {
                    "parameters": [
                        {
                            "name": "Content-Type",
                            "value": "application\/json"
                        }
                    ]
                }
            },
            "credentials": {
                "oAuth2Api": {
                    "id": "",
                    "name": "search-console"
                }
            },
            "typeVersion": 4.2
        },
        {
            "id": "3eac4df1-00ac-4262-b520-3a7e218c7e57",
            "name": "Sticky Note11",
            "type": "n8n-nodes-base.stickyNote",
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            "parameters": {
                "color": 7,
                "width": 370.3910714285712,
                "height": 725.1298214285712,
                "content": "## Set Fields - Create `searchConsoleDataArray`\n\nThese nodes **create an array based on the response from the Search Console API**.\n"
            },
            "typeVersion": 1
        },
        {
            "id": "86db5800-a735-4749-a800-63d78908610b",
            "name": "Sticky Note12",
            "type": "n8n-nodes-base.stickyNote",
            "position": [
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            "parameters": {
                "color": 7,
                "width": 370.3910714285712,
                "height": 722.6464176100125,
                "content": "## Array Aggregation - Response to AI Agent\n\nThese nodes **aggregate the array from the previous** step and send it back to the AI Agent through the field named output as `response`.\n"
            },
            "typeVersion": 1
        },
        {
            "id": "aefbacc7-8dfc-4655-bc4d-f0498c823711",
            "name": "Array aggregation - response to AI Agent",
            "type": "n8n-nodes-base.aggregate",
            "position": [
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            ],
            "parameters": {
                "options": [],
                "aggregate": "aggregateAllItemData",
                "destinationFieldName": "response"
            },
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            "id": "e5334c72-981c-4375-ae8e-9a3a0457880b",
            "name": "Array aggregation - response to AI Agent1",
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                "content": "# AI Agent to Chat with Your Search Console Data\n\nThis **AI Agent enables you to interact with your Search Console data** through a **chat interface**. Each node is **documented within the template**, providing sufficient information for setup and usage. You will also need to **configure Search Console OAuth credentials**.\n\nFollow this **[n8n documentation](https:\/\/docs.n8n.io\/integrations\/builtin\/credentials\/google\/oauth-generic\/#configure-your-oauth-consent-screen)** to set up the OAuth credentials.\n\n## Important Notes\n\n### Correctly Configure Scopes for Search Console API Calls\n- It\u2019s essential to **configure the scopes correctly** in your Google Search Console API OAuth2 credentials. Incorrect **configuration can cause issues with the refresh token**, requiring frequent reconnections. Below is the configuration I use to **avoid constant re-authentication**:\n![Search Console API oAuth2 config 1](https:\/\/i.imgur.com\/vVLM7gG.png)\n![Search Console API oAuth2 config 2](https:\/\/i.imgur.com\/naT1NaX.png)\n\nOf course, you'll need to add your **client_id** and **client_secret** from the **Google Cloud Platform app** you created to access your Search Console data.\n\n### Configure Authentication for the Webhook\n\nSince the **webhook will be publicly accessible**, don\u2019t forget to **set up authentication**. I\u2019ve used **Basic Auth**, but feel free to **choose the method that best meets your security requirements**.\n\n## \ud83e\udd29\ud83d\udc96 Example of awesome things you can do with this AI Agent\n![Example of chat with this AI Agent](https:\/\/i.imgur.com\/jbfsYvT.png)\n\n\n"
            },
            "typeVersion": 1
        },
        {
            "id": "fa630aa9-3c60-4b27-9477-aaeb79c7f37d",
            "name": "AI Agent",
            "type": "@n8n\/n8n-nodes-langchain.agent",
            "position": [
                1676,
                -20
            ],
            "parameters": {
                "text": "=user_message : {{ $json.chatInput }}\ndate_message : {{ $json.date_message }}",
                "options": {
                    "systemMessage": "=Assist users by asking natural, conversational questions to understand their data needs and building a custom JSON API request to retrieve Search Console data. Handle assumptions internally, confirming them with the user in a friendly way. Avoid technical jargon and never imply that the user is directly building an API request.\n\nPre-Step: Retrieve the Website List\nImportant: Initial Action: Before sending your first message to the user, retrieve the list of connected Search Console properties.\n\nTool Call for Website List:\n\nTool name: SearchConsoleRequestTool\nRequest:\n{\n \"request_type\": \"website_list\" \/\/ Always include `request_type` in the API call.\n}\nUsage: Use this list to personalize your response in the initial interaction.\nStep-by-Step Guide\nStep 1: Initial Interaction and Introduction\nGreeting:\n\n\"Hi there! I\u2019m here to help you gain valuable insights from your Search Console data. Whether you're interested in a specific time frame, performance breakdown by pages, queries, or other dimensions, I've got you covered.\n\nI can help you retrieve data for these websites:\n\nhttps:\/\/example1.com\nhttps:\/\/example2.com\nhttps:\/\/example3.com\nWhich of these properties would you like to analyze?\"\nStep 2: Handling User Response for Property Selection\nAction: When the user selects a property, use the property URL exactly as listed (e.g., \"https:\/\/example.com\") when constructing the API call.\n\nStep 3: Understanding the User's Needs\nAcknowledgment and Setting Defaults:\n\nIf the user expresses a general need (e.g., \"I want the last 3 months of page performance\"), acknowledge their request and set reasonable defaults.\n\nExample Response:\n\n\"Great! I'll gather the top 300 queries from the last 3 months for https:\/\/example.com. If you'd like more details or adjustments, just let me know.\"\n\nFollow-up Questions:\n\nConfirming Dimensions: If the user doesn\u2019t specify dimensions, ask:\n\n\"For this analysis, I\u2019ll look at page performance. Does that sound good, or would you like to include other details like queries, devices, or other dimensions?\"\n\nNumber of Results: If the user hasn\u2019t specified the number of results, confirm:\n\n\"I can show you the top 100 results. Let me know if you'd like more or fewer!\"\n\nStep 4: Gathering Specific Inputs (If Necessary)\nAction: If the user provides specific needs, capture and confirm them naturally.\n\nExample Response:\n\n\"Perfect, I\u2019ll pull the data for [specified date range], focusing on [specified dimensions]. Anything else you\u2019d like me to include?\"\n\nImplicit Defaults:\n\nDate Range: Assume \"last 3 months\" if not specified.\nRow Limit: Default to 100, adjustable based on user input.\nStep 5: Confirming Input with the User\nAction: Summarize the request to ensure accuracy.\n\nExample Response:\n\n\"Here\u2019s what I\u2019m preparing: data for https:\/\/example.com, covering the last 3 months, focusing on the top 100 queries. Let me know if you\u2019d like to adjust anything!\"\n\nStep 6: Constructing the JSON for Custom Insights\nAction: Build the API call based on the conversation.\n\n{\n \"property\": \"<USER_PROVIDED_PROPERTY_URL>\", \/\/ Use the exact property URL.\n \"request_type\": \"custom_insights\",\n \"startDate\": \"<ASSUMED_OR_USER_SPECIFIED_START_DATE>\",\n \"endDate\": \"<ASSUMED_OR_USER_SPECIFIED_END_DATE>\",\n \"dimensions\": [\"<IMPLIED_OR_USER_SPECIFIED_DIMENSIONS>\"], \/\/ Array of one or more: \"page\", \"query\", \"searchAppearance\", \"device\", \"country\"\n \"rowLimit\": 300 \/\/ Default or user-specified limit.\n}\nStep 7: Presenting the Data\nWhen Retrieving Custom Insights:\n\nImportant: Display all retrieved data in an easy-to-read markdown table format.\nStep 8: Error Handling\nAction: Provide clear, user-friendly error messages when necessary.\n\nExample Response:\n\n\"Hmm, there seems to be an issue retrieving the data. Let\u2019s review what we have or try a different approach.\"\n\nAdditional Notes\nProactive Assistance: Offer suggestions based on user interactions, such as adding dimensions or refining details.\nTone: Maintain a friendly and helpful demeanor throughout the conversation.",
                    "returnIntermediateSteps": true
                },
                "promptType": "define"
            },
            "typeVersion": 1.6
        }
    ],
    "active": true,
    "pinData": [],
    "settings": {
        "executionOrder": "v1"
    },
    "versionId": "abda3766-7d18-46fb-83e7-c2343ff26385",
    "connections": {
        "Switch": {
            "main": [
                [
                    {
                        "node": "Search Console - Get Custom Insights",
                        "type": "main",
                        "index": 0
                    }
                ],
                [
                    {
                        "node": "## Search Console - Get List of Properties",
                        "type": "main",
                        "index": 0
                    }
                ]
            ]
        },
        "AI Agent": {
            "main": [
                [
                    {
                        "node": "Respond to Webhook",
                        "type": "main",
                        "index": 0
                    }
                ]
            ]
        },
        "Set fields": {
            "main": [
                [
                    {
                        "node": "AI Agent",
                        "type": "main",
                        "index": 0
                    }
                ]
            ]
        },
        "Tool calling": {
            "main": [
                [
                    {
                        "node": "Set fields - Consruct API CALL",
                        "type": "main",
                        "index": 0
                    }
                ]
            ]
        },
        "OpenAI Chat Model": {
            "ai_languageModel": [
                [
                    {
                        "node": "AI Agent",
                        "type": "ai_languageModel",
                        "index": 0
                    }
                ]
            ]
        },
        "Webhook - ChatInput": {
            "main": [
                [
                    {
                        "node": "Set fields",
                        "type": "main",
                        "index": 0
                    }
                ]
            ]
        },
        "Postgres Chat Memory": {
            "ai_memory": [
                [
                    {
                        "node": "AI Agent",
                        "type": "ai_memory",
                        "index": 0
                    }
                ]
            ]
        },
        "Call Search Console Tool": {
            "ai_tool": [
                [
                    {
                        "node": "AI Agent",
                        "type": "ai_tool",
                        "index": 0
                    }
                ]
            ]
        },
        "Set fields - Consruct API CALL": {
            "main": [
                [
                    {
                        "node": "Switch",
                        "type": "main",
                        "index": 0
                    }
                ]
            ]
        },
        "Search Console - Get Custom Insights": {
            "main": [
                [
                    {
                        "node": "Set fields - Create searchConsoleDataArray",
                        "type": "main",
                        "index": 0
                    }
                ]
            ]
        },
        "## Search Console - Get List of Properties": {
            "main": [
                [
                    {
                        "node": "Set fields - Create searchConsoleDataArray 2",
                        "type": "main",
                        "index": 0
                    }
                ]
            ]
        },
        "Set fields - Create searchConsoleDataArray": {
            "main": [
                [
                    {
                        "node": "Array aggregation - response to AI Agent",
                        "type": "main",
                        "index": 0
                    }
                ]
            ]
        },
        "Set fields - Create searchConsoleDataArray 2": {
            "main": [
                [
                    {
                        "node": "Array aggregation - response to AI Agent1",
                        "type": "main",
                        "index": 0
                    }
                ]
            ]
        }
    }
}

How to Use an n8n Template