✨📊Postgres/SupabaseデータベースとQuickCharts + ツールルーター用の複数AIエージェントチャットボット
上級
これはAI分野の自動化ワークフローで、40個のノードを含みます。主にSet, Switch, HttpRequest, PostgresTool, Agentなどのノードを使用、AI技術を活用したスマート自動化を実現。 ✨📊 Postgres/SupabaseデータベースとQuickCharts + ツールルーター用のマルチAIエージェントチャットボット
前提条件
- •ターゲットAPIの認証情報が必要な場合あり
- •PostgreSQLデータベース接続情報
- •OpenAI API Key
使用ノード (40)
カテゴリー
ワークフロープレビュー
ノード接続関係を可視化、ズームとパンをサポート
ワークフローをエクスポート
以下のJSON設定をn8nにインポートして、このワークフローを使用できます
{
"id": "Q63cSgFlcqz291ec",
"meta": {
"instanceId": "31e69f7f4a77bf465b805824e303232f0227212ae922d12133a0f96ffeab4fef",
"templateCredsSetupCompleted": true
},
"name": "✨📊Multi-AI Agent Chatbot for Postgres/Supabase DB and QuickCharts + Tool Router",
"tags": [],
"nodes": [
{
"id": "3a332532-a56e-42f5-a114-4a7e138b5e0f",
"name": "チャットメッセージ受信時",
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"position": [
-180,
-1420
],
"webhookId": "faddb40a-7048-4398-a0f9-d239a19c32ce",
"parameters": {
"options": {}
},
"typeVersion": 1.1
},
{
"id": "6c707ee7-95e9-4ebd-9373-a2dac0ea73a7",
"name": "SQL クエリを実行",
"type": "n8n-nodes-base.postgresTool",
"position": [
460,
-500
],
"parameters": {
"query": "{{ $fromAI(\"sql_query\", \"SQL Query\") }}",
"options": {},
"operation": "executeQuery",
"descriptionType": "manual",
"toolDescription": "Use this tool to query the database with SQL queries"
},
"credentials": {
"postgres": {
"id": "wZnget4L3P3bnlfh",
"name": "Postgres account"
}
},
"typeVersion": 2.5
},
{
"id": "1d5572e1-de5a-4e67-8ba1-82196bd62e9b",
"name": "別ワークフローから実行時",
"type": "n8n-nodes-base.executeWorkflowTrigger",
"position": [
-480,
-360
],
"parameters": {
"workflowInputs": {
"values": [
{
"name": "user_prompt"
},
{
"name": "route"
},
{
"name": "db_records"
}
]
}
},
"typeVersion": 1.1
},
{
"id": "e3caa1b3-7bdb-43c1-a749-74ae02912d84",
"name": "query_db_tool",
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"position": [
720,
-1100
],
"parameters": {
"name": "query_database_tool",
"workflowId": {
"__rl": true,
"mode": "id",
"value": "={{ $workflow.id }}"
},
"description": "Use this tool to query the database",
"workflowInputs": {
"value": {
"route": "query_database_tool",
"user_prompt": "={{ $('When chat message received').item.json.chatInput }}"
},
"schema": [
{
"id": "user_prompt",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "user_prompt",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "route",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "route",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"user_prompt"
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
}
},
"typeVersion": 2
},
{
"id": "594e6fd3-084a-4100-ac16-1cc4068e03c1",
"name": "generate_quickchart_tool",
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"position": [
980,
-1100
],
"parameters": {
"name": "generate_chart_tool",
"workflowId": {
"__rl": true,
"mode": "id",
"value": "={{ $workflow.id }}"
},
"description": "Use this tool to generate a chart with QuickChart",
"workflowInputs": {
"value": {
"route": "generate_chart_tool",
"db_records": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('db_records', `The database records`, 'string') }}",
"user_prompt": "={{ $('When chat message received').item.json.chatInput }}"
},
"schema": [
{
"id": "user_prompt",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "user_prompt",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "route",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "route",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "db_records",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "db_records",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"user_prompt"
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
}
},
"typeVersion": 2
},
{
"id": "580426ac-0fb7-4f14-af7b-e497b7cb08f8",
"name": "QuickChart作成",
"type": "n8n-nodes-base.httpRequest",
"position": [
780,
-140
],
"parameters": {
"url": "={{ encodeURI($json.url) }}",
"options": {}
},
"typeVersion": 4.2
},
{
"id": "b7085357-ebe9-4564-868d-b31fc2e9734a",
"name": "QuickChartオブジェクトスキーマ",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
460,
140
],
"parameters": {
"jsonSchemaExample": "{\n \"type\": \"bar\",\n \"data\": {\n \"labels\": [\"R270684\", \"R274295\", \"R276352\", \"R277914\", \"R280108\"],\n \"datasets\": [\n {\n \"label\": \"List Price\",\n \"data\": [2149000, 924900, 924900, 1288000, 1198000],\n \"backgroundColor\": \"#FF6384\"\n },\n {\n \"label\": \"Days On Market\",\n \"data\": [101, 91, 123, 136, 185],\n \"backgroundColor\": \"#36A2EB\"\n }\n ]\n },\n \"options\": {\n \"scales\": {\n \"y\": {\n \"min\": 0,\n \"max\": 2200000\n }\n }\n }\n}"
},
"typeVersion": 1.2
},
{
"id": "b1037112-f5af-4e61-8bd1-0d9b0a9ad2e1",
"name": "gpt-4o-mini",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
200,
-1100
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
"options": {
"responseFormat": "text"
}
},
"credentials": {
"openAiApi": {
"id": "jEMSvKmtYfzAkhe6",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
},
{
"id": "5ea5ba56-2368-4e95-a98f-2c7548a66a9b",
"name": "gpt-4o-mini-2",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
200,
140
],
"parameters": {
"model": {
"__rl": true,
"mode": "id",
"value": "=gpt-4o-mini"
},
"options": {
"responseFormat": "text"
}
},
"credentials": {
"openAiApi": {
"id": "jEMSvKmtYfzAkhe6",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
},
{
"id": "4b8f9978-9d46-48f5-93ca-002ade008887",
"name": "付箋",
"type": "n8n-nodes-base.stickyNote",
"position": [
80,
-1500
],
"parameters": {
"color": 5,
"width": 1100,
"height": 600,
"content": "## 🤖Primary AI Manager Agent"
},
"typeVersion": 1
},
{
"id": "f6534374-cc07-429a-b27c-b38835c96465",
"name": "🤖プライマリーエージェント",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
480,
-1420
],
"parameters": {
"options": {
"systemMessage": "You are a helpful assistant that answers the users questions by using the tools provided.\n\n## TOOLS\n- query_database_tool: Use this tool to query the database\n- generate_chart_tool: Use this tool to generate a chart with QuickChart\n\nAlways provide the results of the database query and the link for the chart when applicable."
}
},
"typeVersion": 1.7
},
{
"id": "cf246e46-b3e4-4c9f-96f9-be1b91c0a3eb",
"name": "🤖セカンダリーPostgresエージェント",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
480,
-780
],
"parameters": {
"text": "={{ $json.user_prompt }}",
"options": {
"systemMessage": "You are a helpful assistant with tools for querying a SQL database. Use the tools provided to query the database."
},
"promptType": "define"
},
"typeVersion": 1.7
},
{
"id": "02d741d3-4b6e-4e19-8aca-3e15175e9667",
"name": "🤖セカンダリーQuickChartエージェント",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
240,
-140
],
"parameters": {
"text": "=Your task is to generate a Chart.js configuration object with the following specifications:\n- Chart type: bar unless otherwise indicated\n- Labels: Use the ML # from each record unless otherwise indicated\n- Show bar for list price if not otherwise indicated\n- Return only the raw JSON object without code fences or explanations\n\nThis is the user prompt: {{ $json.user_prompt }}\nThis is the result of the SQL query: {{ $json.db_records }}",
"options": {},
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 1.7
},
{
"id": "4f41690b-313a-4ce3-ba65-a2ce2c3ee9b9",
"name": "🔀ツールエージェントルーター",
"type": "n8n-nodes-base.switch",
"position": [
-180,
-360
],
"parameters": {
"rules": {
"values": [
{
"outputKey": "🔍query",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "35b1e13e-6157-48d0-85af-3cd33260eae1",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.route }}",
"rightValue": "=query_database_tool"
}
]
},
"renameOutput": true
},
{
"outputKey": "📊chart",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "ff5f97fb-0f18-4bf9-b16c-3d0b3bc3c7f4",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.route }}",
"rightValue": "=generate_chart_tool"
}
]
},
"renameOutput": true
}
]
},
"options": {}
},
"typeVersion": 3.2
},
{
"id": "27c30d2c-3af3-4d05-aadb-9f18751fb9ce",
"name": "テーブル定義",
"type": "n8n-nodes-base.postgresTool",
"position": [
980,
-500
],
"parameters": {
"query": "select\n c.column_name,\n c.data_type,\n c.is_nullable,\n c.column_default,\n tc.constraint_type,\n ccu.table_name AS referenced_table,\n ccu.column_name AS referenced_column\nfrom\n information_schema.columns c\nLEFT join\n information_schema.key_column_usage kcu\n ON c.table_name = kcu.table_name\n AND c.column_name = kcu.column_name\nLEFT join\n information_schema.table_constraints tc\n ON kcu.constraint_name = tc.constraint_name\n AND tc.constraint_type = 'FOREIGN KEY'\nLEFT join\n information_schema.constraint_column_usage ccu\n ON tc.constraint_name = ccu.constraint_name\nwhere\n c.table_name = '{{ $fromAI(\"table_name\") }}'\n AND c.table_schema = '{{ $fromAI(\"schema_name\") }}'\norder by\n c.ordinal_position",
"options": {},
"operation": "executeQuery",
"descriptionType": "manual",
"toolDescription": "Use this tool to get table definition to find all columns and types"
},
"credentials": {
"postgres": {
"id": "wZnget4L3P3bnlfh",
"name": "Postgres account"
}
},
"typeVersion": 2.5
},
{
"id": "59dfd315-fb02-425c-a6ca-2d63167c2e24",
"name": "Postgresチャットメモリ",
"type": "@n8n/n8n-nodes-langchain.memoryPostgresChat",
"position": [
460,
-1100
],
"parameters": {
"tableName": "={{ $workflow.id }}_chat_history"
},
"credentials": {
"postgres": {
"id": "wZnget4L3P3bnlfh",
"name": "Postgres account"
}
},
"typeVersion": 1.3
},
{
"id": "81dd8b73-0809-4f30-a867-bf98ff6a80bc",
"name": "付箋1",
"type": "n8n-nodes-base.stickyNote",
"position": [
900,
-1180
],
"parameters": {
"color": 7,
"height": 240,
"content": "## QuickChart Tool"
},
"typeVersion": 1
},
{
"id": "1a08bc08-510b-4cda-b96e-179bd3abe164",
"name": "付箋2",
"type": "n8n-nodes-base.stickyNote",
"position": [
640,
-1180
],
"parameters": {
"color": 7,
"height": 240,
"content": "## Postgres Tool"
},
"typeVersion": 1
},
{
"id": "9cc5e958-0f93-42ad-813e-83c8b5bb126e",
"name": "付箋3",
"type": "n8n-nodes-base.stickyNote",
"position": [
120,
-1180
],
"parameters": {
"color": 7,
"height": 240,
"content": "## LLM"
},
"typeVersion": 1
},
{
"id": "920f9fe4-e182-4159-9152-e81586ec5304",
"name": "付箋4",
"type": "n8n-nodes-base.stickyNote",
"position": [
380,
-1180
],
"parameters": {
"color": 7,
"height": 240,
"content": "## Chat Memory"
},
"typeVersion": 1
},
{
"id": "d2a24dce-1add-49d6-8d2f-6547fca35bfb",
"name": "付箋5",
"type": "n8n-nodes-base.stickyNote",
"position": [
-300,
-1500
],
"parameters": {
"color": 4,
"width": 340,
"height": 280,
"content": "## 👍Start Here"
},
"typeVersion": 1
},
{
"id": "d0df3ea6-9765-4f4d-a8f7-b2356ea1cf26",
"name": "付箋6",
"type": "n8n-nodes-base.stickyNote",
"position": [
80,
-860
],
"parameters": {
"color": 6,
"width": 1100,
"height": 560,
"content": "## ⚒️🤖Secondary Postgres Tool Agent "
},
"typeVersion": 1
},
{
"id": "fe990853-fce6-4cbe-9cc2-fc04f53742e8",
"name": "付箋7",
"type": "n8n-nodes-base.stickyNote",
"position": [
120,
-580
],
"parameters": {
"color": 7,
"height": 240,
"content": ""
},
"typeVersion": 1
},
{
"id": "c5086736-4dfe-44a3-a5dc-6cace0593334",
"name": "付箋8",
"type": "n8n-nodes-base.stickyNote",
"position": [
640,
-580
],
"parameters": {
"color": 7,
"height": 240,
"content": ""
},
"typeVersion": 1
},
{
"id": "6b848863-10b2-42e4-8bd5-ed4663b9e5cb",
"name": "付箋9",
"type": "n8n-nodes-base.stickyNote",
"position": [
900,
-580
],
"parameters": {
"color": 7,
"height": 240,
"content": ""
},
"typeVersion": 1
},
{
"id": "75231fcf-8314-4ee6-96a7-99d842b6ee4f",
"name": "付箋10",
"type": "n8n-nodes-base.stickyNote",
"position": [
380,
-580
],
"parameters": {
"color": 7,
"height": 240,
"content": ""
},
"typeVersion": 1
},
{
"id": "c54439c7-ccb1-41a4-ad76-8ed39f7fc5e6",
"name": "付箋11",
"type": "n8n-nodes-base.stickyNote",
"position": [
-300,
-460
],
"parameters": {
"color": 3,
"width": 340,
"height": 320,
"content": "## Tool Agent Router 🔀"
},
"typeVersion": 1
},
{
"id": "b51ffe20-2ae4-478b-9573-fc5456935483",
"name": "付箋12",
"type": "n8n-nodes-base.stickyNote",
"position": [
80,
-260
],
"parameters": {
"color": 6,
"width": 1100,
"height": 600,
"content": "## ⚒️🤖Secondary QuickChart Tool Agent"
},
"typeVersion": 1
},
{
"id": "ffb9da23-f79c-4d20-81a3-656471bdda33",
"name": "付箋13",
"type": "n8n-nodes-base.stickyNote",
"position": [
380,
60
],
"parameters": {
"color": 7,
"height": 240,
"content": ""
},
"typeVersion": 1
},
{
"id": "61532d90-1f65-48d0-a408-2e6edd9511b1",
"name": "付箋15",
"type": "n8n-nodes-base.stickyNote",
"position": [
120,
60
],
"parameters": {
"color": 7,
"height": 240,
"content": ""
},
"typeVersion": 1
},
{
"id": "5b125fa6-8017-437e-bb20-b9deb5d52c63",
"name": "最終QuickChart URL",
"type": "n8n-nodes-base.set",
"position": [
980,
-140
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "63bab42a-9b9b-4756-88d2-f41cff9a1ded",
"name": "quickchart_url",
"type": "string",
"value": "={{ encodeURI($json.url) }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "2c66055d-1ca2-40f3-a082-57232402fdd1",
"name": "QuickChart GET URL",
"type": "n8n-nodes-base.set",
"position": [
580,
-140
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "d69995ae-413e-49e7-b6ec-17e9e034e4b6",
"name": "url",
"type": "string",
"value": "={{ \"https://quickchart.io/chart?width=250&height=150&chart=\" + $json.output.toJsonString() }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "0a0f024d-24fa-43e9-bfa6-b841902b5e5e",
"name": "付箋14",
"type": "n8n-nodes-base.stickyNote",
"position": [
-540,
-1600
],
"parameters": {
"color": 7,
"width": 1760,
"height": 1980,
"content": "# ✨📊Multi-AI Agent Chatbot for Postgres/Supabase DB and QuickCharts + Tool Router"
},
"typeVersion": 1
},
{
"id": "a50b4d31-7e9e-4cd0-84b9-f4755deb6efd",
"name": "付箋16",
"type": "n8n-nodes-base.stickyNote",
"position": [
-500,
-1180
],
"parameters": {
"width": 540,
"height": 240,
"content": "## Setup\n\n1. Create a Postgres compatible database (Supabase)\n\n2. Add your Postgres and OpenAI credentials\n\n3. Click Chat button and start chatting with your database and creating QuickChart to visualize the results\n"
},
"typeVersion": 1
},
{
"id": "3df0304a-323b-4bd4-96ce-2907367ede8d",
"name": "付箋17",
"type": "n8n-nodes-base.stickyNote",
"position": [
-500,
-860
],
"parameters": {
"width": 542,
"height": 296,
"content": "## Postgres Tools Used\n\n1. **Execute SQL Query** \nUsed to execute any query generated by the agent.\n\n2. **DB Schema and Tables** \nReturns the list of all the tables with its schema name.\n\n3. **Table Definition** \nReturns table details like column names, foreign keys and more of a particular table in a schema."
},
"typeVersion": 1
},
{
"id": "feaeaf6d-f5b8-4dbe-a39b-d07882142ead",
"name": "付箋19",
"type": "n8n-nodes-base.stickyNote",
"position": [
-500,
-40
],
"parameters": {
"width": 542,
"height": 376,
"content": "## Generate a Quickchart\n\n**Secondary QuickChart Agent Tool**\nThis section handles the chart generation process through several steps by sending the database records and user prompt to OpenAI to create a JSON object based on Chart.js and QuickChart.io definitions\n\n**QuickChart GET URL node**\nThis sections adds chart definitions to a QuickChart.io URL\n\n**Create QuickChart node**\nThis sections sends chart queries to QuickCharts with a defined JSON format\n\n\n\nThis integration allows you to dynamically generate charts based on data queries, with AI assistance for formatting and optimization.\n\n\n"
},
"typeVersion": 1
},
{
"id": "6c9be4d2-46e9-44ae-8751-f4f4964323e9",
"name": "DBスキーマとテーブル",
"type": "n8n-nodes-base.postgresTool",
"position": [
720,
-500
],
"parameters": {
"query": "SELECT \n table_schema,\n table_name\nFROM information_schema.tables\nWHERE table_type = 'BASE TABLE'\n AND table_schema NOT IN ('pg_catalog', 'information_schema')\nORDER BY table_schema, table_name;",
"options": {},
"operation": "executeQuery",
"descriptionType": "manual",
"toolDescription": "Use this tool to get a list of all tables with their schema in the database"
},
"credentials": {
"postgres": {
"id": "wZnget4L3P3bnlfh",
"name": "Postgres account"
}
},
"typeVersion": 2.5
},
{
"id": "4e779b6f-963c-4efb-af43-bec0e5c3228c",
"name": "gpt-40-mini-1",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
200,
-500
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
"options": {
"responseFormat": "text"
}
},
"credentials": {
"openAiApi": {
"id": "jEMSvKmtYfzAkhe6",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
},
{
"id": "a6cc9a4e-b016-47f6-9f9f-9c77a15c2be2",
"name": "付箋18",
"type": "n8n-nodes-base.stickyNote",
"position": [
640,
180
],
"parameters": {
"width": 440,
"height": 120,
"content": "## QuickChart Schema\nAdjust the QuickChart Schema to match your use case.\n\nhttps://quickchart.io/documentation/"
},
"typeVersion": 1
},
{
"id": "9855ba6a-d46b-4461-a397-02108023abc5",
"name": "付箋20",
"type": "n8n-nodes-base.stickyNote",
"position": [
640,
60
],
"parameters": {
"width": 440,
"height": 100,
"content": "## Chart Size\nAdjust the chart size in the QuickChart GET URL node.\n"
},
"typeVersion": 1
}
],
"active": false,
"pinData": {
"When Executed by Another Workflow": [
{
"json": {
"route": "generate_chart_tool",
"db_records": "[{\"mls_num\":\"R292309\",\"list_price\":1148000},{\"mls_num\":\"R292302\",\"list_price\":1298000},{\"mls_num\":\"R294786\",\"list_price\":1280000},{\"mls_num\":\"V17840\",\"list_price\":939000},{\"mls_num\":\"V10178\",\"list_price\":420000},{\"mls_num\":\"V18007\",\"list_price\":296500},{\"mls_num\":\"V18136\",\"list_price\":379000},{\"mls_num\":\"V18643\",\"list_price\":329000},{\"mls_num\":\"V17755\",\"list_price\":236000},{\"mls_num\":\"V19126\",\"list_price\":245500}]",
"user_prompt": "provide a bar chart showing mls# and list price"
}
}
]
},
"settings": {
"executionOrder": "v1"
},
"versionId": "9781f576-38ef-4e18-9fbe-8383565cb032",
"connections": {
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}
}よくある質問
このワークフローの使い方は？
上記のJSON設定コードをコピーし、n8nインスタンスで新しいワークフローを作成して「JSONからインポート」を選択、設定を貼り付けて認証情報を必要に応じて変更してください。
このワークフローはどんな場面に適していますか？
上級 - 人工知能
有料ですか？
このワークフローは完全無料です。ただし、ワークフローで使用するサードパーティサービス（OpenAI APIなど）は別途料金が発生する場合があります。
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ノード数40
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ノードタイプ12
作成者
Joseph LePage
@joeAs an AI Automation consultant based in Canada, I partner with forward-thinking organizations to implement AI solutions that streamline operations and drive growth.
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