{
"id": "PoiRk5w0xd1ysq4U",
"meta": {
"instanceId": "b9faf72fe0d7c3be94b3ebff0778790b50b135c336412d28fd4fca2cbbf8d1f5",
"templateCredsSetupCompleted": true
},
"name": "AI Agent to chat with you Search Console Data, using OpenAI and Postgres",
"tags": [],
"nodes": [
{
"id": "9ee6710b-19b7-4bfd-ac2d-0fe1e2561f1d",
"name": "Postgres Chat Memory",
"type": "@n8n\/n8n-nodes-langchain.memoryPostgresChat",
"position": [
1796,
220
],
"parameters": {
"tableName": "insights_chat_histories"
},
"credentials": {
"postgres": {
"id": "",
"name": "Postgres"
}
},
"typeVersion": 1.100000000000000088817841970012523233890533447265625
},
{
"id": "eb9f07e9-ded1-485c-9bf3-cf223458384a",
"name": "OpenAI Chat Model",
"type": "@n8n\/n8n-nodes-langchain.lmChatOpenAi",
"position": [
1356,
240
],
"parameters": {
"model": "gpt-4o",
"options": {
"maxTokens": 16000
}
},
"credentials": {
"openAiApi": {
"id": "",
"name": "OpenAi"
}
},
"typeVersion": 1
},
{
"id": "1d3d6fb7-a171-4590-be42-df7eb0c208ed",
"name": "Set fields",
"type": "n8n-nodes-base.set",
"position": [
940,
-20
],
"parameters": {
"options": [],
"assignments": {
"assignments": [
{
"id": "9f47b322-e42f-42d7-93eb-a57d22adb849",
"name": "chatInput",
"type": "string",
"value": "={{ $json.body?.chatInput || $json.chatInput }}"
},
{
"id": "73ec4dd0-e986-4f60-9dca-6aad2f86bdeb",
"name": "sessionId",
"type": "string",
"value": "={{ $json.body?.sessionId || $json.sessionId }}"
},
{
"id": "4b688c46-b60f-4f0a-83d8-e283f2d7055c",
"name": "date_message",
"type": "string",
"value": "={{ $now.format('yyyy-MM-dd') }}"
}
]
}
},
"typeVersion": 3.399999999999999911182158029987476766109466552734375
},
{
"id": "92dc5e8b-5140-49be-8713-5749b7e2d46b",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
407.321428571428668874432332813739776611328125,
-320
],
"parameters": {
"color": 7,
"width": 347.9910714285712174387299455702304840087890625,
"height": 516.8973214285712174387299455702304840087890625,
"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."
},
"typeVersion": 1
},
{
"id": "ca9f3732-9b62-4f44-b970-77d5d470ec76",
"name": "Webhook - ChatInput",
"type": "n8n-nodes-base.webhook",
"position": [
500,
-20
],
"webhookId": "a6820b65-76cf-402b-a934-0f836dee6ba0",
"parameters": {
"path": "a6820b65-76cf-402b-a934-0f836dee6ba0\/chat",
"options": [],
"httpMethod": "POST",
"responseMode": "responseNode",
"authentication": "basicAuth"
},
"credentials": {
"httpBasicAuth": {
"id": "",
"name": "basic-auth"
}
},
"typeVersion": 2
},
{
"id": "9d684873-6dfe-4709-928d-293b187dfb30",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
820,
-320
],
"parameters": {
"color": 7,
"width": 347.9910714285712174387299455702304840087890625,
"height": 516.8973214285712174387299455702304840087890625,
"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."
},
"typeVersion": 1
},
{
"id": "8750215a-1e33-4ac8-a6da-95efa8ffed65",
"name": "Respond to Webhook",
"type": "n8n-nodes-base.respondToWebhook",
"position": [
2600,
-20
],
"parameters": {
"options": []
},
"typeVersion": 1.100000000000000088817841970012523233890533447265625
},
{
"id": "1b879496-5c0f-4bd5-b4cb-18df2662aef2",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
1240,
-320
],
"parameters": {
"color": 7,
"width": 1154.28571428571376600302755832672119140625,
"height": 516.8973214285712174387299455702304840087890625,
"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
},
{
"id": "c44c6402-9ddd-4a7b-bc5a-b6c3679a3f68",
"name": "Call Search Console Tool",
"type": "@n8n\/n8n-nodes-langchain.toolWorkflow",
"position": [
2196,
220
],
"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": ""
},
"typeVersion": 1.1999999999999999555910790149937383830547332763671875
},
{
"id": "b1701a89-c5b3-47fb-99d5-4896a6d5c7a2",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
1234,
220
],
"parameters": {
"color": 6,
"width": 328.9664285714292191187269054353237152099609375,
"height": 468.1310714285715448568225838243961334228515625,
"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`."
},
"typeVersion": 1
},
{
"id": "cd1a7cec-5845-47b1-a2c8-d3b458a02eb0",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
1656,
220
],
"parameters": {
"color": 6,
"width": 328.9664285714292191187269054353237152099609375,
"height": 468.1310714285715448568225838243961334228515625,
"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"
},
"typeVersion": 1
},
{
"id": "290a07d1-c7ed-434d-9851-2a2dcdd35bdf",
"name": "Sticky Note6",
"type": "n8n-nodes-base.stickyNote",
"position": [
2076,
220
],
"parameters": {
"color": 6,
"width": 328.9664285714292191187269054353237152099609375,
"height": 468.1310714285715448568225838243961334228515625,
"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",
"position": [
2480,
-320
],
"parameters": {
"color": 7,
"width": 347.9910714285712174387299455702304840087890625,
"height": 516.8973214285712174387299455702304840087890625,
"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
},
{
"id": "9a927a40-45e4-4fd5-ab3e-b77578469f82",
"name": "Sticky Note7",
"type": "n8n-nodes-base.stickyNote",
"position": [
400,
800
],
"parameters": {
"color": 7,
"width": 370.3910714285711947013624012470245361328125,
"height": 492.3973214285712174387299455702304840087890625,
"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
},
{
"id": "c54a4653-0f09-46b0-bd20-68919b96e154",
"name": "Tool calling",
"type": "n8n-nodes-base.executeWorkflowTrigger",
"position": [
500,
1080
],
"parameters": [],
"typeVersion": 1
},
{
"id": "cc7303ee-1afa-4859-83e7-3af0e963a0f1",
"name": "Switch",
"type": "n8n-nodes-base.switch",
"position": [
1300,
1080
],
"parameters": {
"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": "={{ $json.request_type }}",
"rightValue": "custom_insights"
}
]
},
"renameOutput": true
},
{
"outputKey": "website_list",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "1b7d6039-6474-4a73-b157-584743a9d7f0",
"operator": {
"type": "string",
"operation": "contains"
},
"leftValue": "={{$json.request_type}}",
"rightValue": "website_list"
}
]
},
"renameOutput": true
}
]
},
"options": []
},
"typeVersion": 3.20000000000000017763568394002504646778106689453125
},
{
"id": "6860ff98-4050-4f64-b8c1-a153e3388df0",
"name": "Set fields - Consruct API CALL",
"type": "n8n-nodes-base.set",
"position": [
920,
1080
],
"parameters": {
"options": [],
"assignments": {
"assignments": [
{
"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": 3.399999999999999911182158029987476766109466552734375
},
{
"id": "0a2dfb28-17ee-477f-b9ea-f1d8e05e3745",
"name": "Sticky Note8",
"type": "n8n-nodes-base.stickyNote",
"position": [
820,
800
],
"parameters": {
"color": 7,
"width": 370.3910714285711947013624012470245361328125,
"height": 492.3973214285712174387299455702304840087890625,
"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
},
{
"id": "e6ef5c28-01e4-4a0b-9081-b62ec28be635",
"name": "Set fields - Create searchConsoleDataArray",
"type": "n8n-nodes-base.set",
"position": [
2180,
980
],
"parameters": {
"options": [],
"assignments": {
"assignments": [
{
"id": "2cffd36f-72bd-4535-8427-a88028ea0c4c",
"name": "searchConsoleData",
"type": "array",
"value": "={{ $json.rows }}"
}
]
}
},
"typeVersion": 3.399999999999999911182158029987476766109466552734375
},
{
"id": "abc80061-a794-4e1d-a055-bd88ea5c93eb",
"name": "Set fields - Create searchConsoleDataArray 2",
"type": "n8n-nodes-base.set",
"position": [
2180,
1340
],
"parameters": {
"options": [],
"assignments": {
"assignments": [
{
"id": "2cffd36f-72bd-4535-8427-a88028ea0c4c",
"name": "searchConsoleData",
"type": "array",
"value": "={{ $json.siteEntry }}"
}
]
}
},
"typeVersion": 3.399999999999999911182158029987476766109466552734375
},
{
"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"
}
]
}
},
"credentials": {
"oAuth2Api": {
"id": "",
"name": "search-console"
}
},
"typeVersion": 4.20000000000000017763568394002504646778106689453125
},
{
"id": "645ff407-857d-4629-926b-5cfc52cfa8ba",
"name": "Sticky Note9",
"type": "n8n-nodes-base.stickyNote",
"position": [
1520,
800
],
"parameters": {
"color": 7,
"width": 370.3910714285711947013624012470245361328125,
"height": 364.3185243941325097694061696529388427734375,
"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",
"position": [
1520,
1180
],
"parameters": {
"color": 7,
"width": 370.3910714285711947013624012470245361328125,
"height": 334.24982142857123790236073546111583709716796875,
"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": 4.20000000000000017763568394002504646778106689453125
},
{
"id": "3eac4df1-00ac-4262-b520-3a7e218c7e57",
"name": "Sticky Note11",
"type": "n8n-nodes-base.stickyNote",
"position": [
2040,
800
],
"parameters": {
"color": 7,
"width": 370.3910714285711947013624012470245361328125,
"height": 725.12982142857117651146836578845977783203125,
"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": [
2520,
800
],
"parameters": {
"color": 7,
"width": 370.3910714285711947013624012470245361328125,
"height": 722.6464176100124632284860126674175262451171875,
"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": [
2640,
980
],
"parameters": {
"options": [],
"aggregate": "aggregateAllItemData",
"destinationFieldName": "response"
},
"typeVersion": 1
},
{
"id": "e5334c72-981c-4375-ae8e-9a3a0457880b",
"name": "Array aggregation - response to AI Agent1",
"type": "n8n-nodes-base.aggregate",
"position": [
2660,
1340
],
"parameters": {
"options": [],
"aggregate": "aggregateAllItemData",
"destinationFieldName": "response"
},
"typeVersion": 1
},
{
"id": "2e93a798-6c26-4d34-a553-ba01b64ca3fe",
"name": "Sticky Note13",
"type": "n8n-nodes-base.stickyNote",
"position": [
-398.45627799387193590519018471240997314453125,
-320
],
"parameters": {
"width": 735.5589746610085057909600436687469482421875,
"height": 1615.45046017719823794323019683361053466796875,
"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\n\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\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": 1.600000000000000088817841970012523233890533447265625
}
],
"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
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]
]
},
"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
}
]
]
}
}
}
