Workflow: create a n8n workflow for Wait Splitout Automation Webhook
Integrations: aggregate, code, executeWorkflow, executeWorkflowTrigger, executionData, filter, httpRequest, if, manualTrigger, merge, set, splitOut, stickyNote, wait

{"meta": {"instanceId": "97d44c78f314fab340d7a5edaf7e2c274a7fbb8a7cd138f53cc742341e706fe7"}, "nodes": [{"id": "fa4f8fd6-3272-4a93-8547-32d13873bbc1", "name": "Submit batch", "type": "n8n-nodes-base.httpRequest", "position": [180, 40], "parameters": {"url": "https://api.anthropic.com/v1/messages/batches", "method": "POST", "options": {}, "jsonBody": "={ \"requests\": {{ JSON.stringify($json.requests) }} }", "sendBody": true, "sendQuery": true, "sendHeaders": true, "specifyBody": "json", "authentication": "predefinedCredentialType", "queryParameters": {"parameters": [{}]}, "headerParameters": {"parameters": [{"name": "anthropic-version", "value": "={{ $json[\"anthropic-version\"] }}"}]}, "nodeCredentialType": "anthropicApi"}, "credentials": {"anthropicApi": {"id": "ub0zN7IP2V83OeTf", "name": "Anthropic account"}}, "typeVersion": 4.2}, {"id": "2916dc85-829d-491a-a7a8-de79d5356a53", "name": "Check batch status", "type": "n8n-nodes-base.httpRequest", "position": [840, 115], "parameters": {"url": "=https://api.anthropic.com/v1/messages/batches/{{ $json.id }}", "options": {}, "sendHeaders": true, "authentication": "predefinedCredentialType", "headerParameters": {"parameters": [{"name": "anthropic-version", "value": "={{ $('When Executed by Another Workflow').item.json[\"anthropic-version\"] }}"}]}, "nodeCredentialType": "anthropicApi"}, "credentials": {"anthropicApi": {"id": "ub0zN7IP2V83OeTf", "name": "Anthropic account"}}, "typeVersion": 4.2}, {"id": "1552ec92-2f18-42f6-b67f-b6f131012b3c", "name": "When Executed by Another Workflow", "type": "n8n-nodes-base.executeWorkflowTrigger", "position": [-40, 40], "parameters": {"workflowInputs": {"values": [{"name": "anthropic-version"}, {"name": "requests", "type": "array"}]}}, "typeVersion": 1.1}, {"id": "4bd40f02-caf1-419d-8261-a149cd51a534", "name": "Get results", "type": "n8n-nodes-base.httpRequest", "position": [620, -160], "parameters": {"url": "={{ $json.results_url }}", "options": {}, "sendHeaders": true, "authentication": "predefinedCredentialType", "headerParameters": {"parameters": [{"name": "anthropic-version", "value": "={{ $('When Executed by Another Workflow').item.json[\"anthropic-version\"] }}"}]}, "nodeCredentialType": "anthropicApi"}, "credentials": {"anthropicApi": {"id": "ub0zN7IP2V83OeTf", "name": "Anthropic account"}}, "typeVersion": 4.2}, {"id": "5df366af-a54d-4594-a1ab-7a9df968101e", "name": "Parse response", "type": "n8n-nodes-base.code", "notes": "JSONL separated by newlines", "position": [840, -160], "parameters": {"jsCode": "for (const item of $input.all()) {\n  if (item.json && item.json.data) {\n    // Split the string into individual JSON objects\n    const jsonStrings = item.json.data.split('\\n');\n\n    // Parse each JSON string and store them in an array\n    const parsedData = jsonStrings.filter(str => str.trim() !== '').map(str => JSON.parse(str));\n\n    // Replace the original json with the parsed array.\n    item.json.parsed = parsedData;\n  }\n}\n\nreturn $input.all();"}, "notesInFlow": true, "typeVersion": 2}, {"id": "68aa4ee2-e925-4e30-a7ab-317d8df4d9bc", "name": "If ended processing", "type": "n8n-nodes-base.if", "position": [400, 40], "parameters": {"options": {}, "conditions": {"options": {"version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict"}, "combinator": "and", "conditions": [{"id": "9494c5a3-d093-49c5-837f-99cd700a2f13", "operator": {"type": "string", "operation": "equals"}, "leftValue": "={{ $json.processing_status }}", "rightValue": "ended"}]}}, "typeVersion": 2.2}, {"id": "2b974e3b-495b-48af-8080-c7913d7a2ba8", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [-200, -720], "parameters": {"width": 1060, "height": 520, "content": "### This workflow automates sending batched prompts to Claude using the Anthropic API. It submits multiple prompts at once and retrieves the results.\n\n#### How to use\n\nCall this workflow with array of `requests`\n\n```json\n{\n    \"anthropic-version\": \"2023-06-01\",\n    \"requests\": [\n        {\n            \"custom_id\": \"first-prompt-in-my-batch\",\n            \"params\": {\n                \"max_tokens\": 100,\n                \"messages\": [\n                    {\n                        \"content\": \"Hey Claude, tell me a short fun fact about video games!\",\n                        \"role\": \"user\"\n                    }\n                ],\n                \"model\": \"claude-3-5-haiku-20241022\"\n            }\n        }\n    ]\n}\n```\n"}, "typeVersion": 1}, {"id": "928a30b5-5d90-4648-a82e-e4f1a01e47a5", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [1200, -720], "parameters": {"width": 980, "height": 600, "content": "#### Results\n\nThis workflow returns an array of results with custom_ids.\n\n```json\n[\n    {\n        \"custom_id\": \"first-prompt-in-my-batch\",\n        \"result\": {\n            \"message\": {\n                \"content\": [\n                    {\n                        \"text\": \"Did you know that the classic video game Tetris was...\",\n                        \"type\": \"text\"\n                    }\n                ],\n                \"id\": \"msg_01AiLiVZT18XnoBD4r2w9x2t\",\n                \"model\": \"claude-3-5-haiku-20241022\",\n                \"role\": \"assistant\",\n                \"stop_reason\": \"end_turn\",\n                \"stop_sequence\": null,\n                \"type\": \"message\",\n                \"usage\": {\n                    \"cache_creation_input_tokens\": 0,\n                    \"cache_read_input_tokens\": 0,\n                    \"input_tokens\": 45,\n                    \"output_tokens\": 83\n                }\n            },\n            \"type\": \"succeeded\"\n        }\n    }\n]\n```"}, "typeVersion": 1}, {"id": "5dcb554e-32df-4883-b5a1-b40305756201", "name": "Batch Status Poll Interval", "type": "n8n-nodes-base.wait", "position": [620, 40], "webhookId": "7efafe72-063a-45c6-8775-fcec14e1d263", "parameters": {"amount": 10}, "typeVersion": 1.1}, {"id": "c25cfde5-ab83-4e5a-a66f-8cc9f23a01f6", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [-160, 325], "parameters": {"color": 4, "width": 340, "height": 620, "content": "# Usage example"}, "typeVersion": 1}, {"id": "6062ca7c-aa08-4805-9c96-65e5be8a38fd", "name": "Run example", "type": "n8n-nodes-base.manualTrigger", "position": [-40, 625], "parameters": {}, "typeVersion": 1}, {"id": "9878729a-123d-4460-a582-691ca8cedf98", "name": "One query example", "type": "n8n-nodes-base.set", "position": [634, 775], "parameters": {"options": {}, "assignments": {"assignments": [{"id": "1ea47ba2-64be-4d69-b3db-3447cde71645", "name": "query", "type": "string", "value": "Hey Claude, tell me a short fun fact about bees!"}]}}, "typeVersion": 3.4}, {"id": "df06c209-8b6a-4b6d-8045-230ebdfcfbad", "name": "Delete original properties", "type": "n8n-nodes-base.set", "position": [1528, 775], "parameters": {"options": {}, "assignments": {"assignments": [{"id": "d238d62b-2e91-4242-b509-8cfc698d2252", "name": "custom_id", "type": "string", "value": "={{ $json.custom_id }}"}, {"id": "21e07c09-92e3-41e7-8335-64653722e7e9", "name": "params", "type": "object", "value": "={{ $json.params }}"}]}}, "typeVersion": 3.4}, {"id": "f66d6a89-ee33-4494-9476-46f408976b29", "name": "Construct 'requests' array", "type": "n8n-nodes-base.aggregate", "position": [1968, 625], "parameters": {"options": {}, "aggregate": "aggregateAllItemData", "destinationFieldName": "requests"}, "typeVersion": 1}, {"id": "0f9eb605-d629-4cb7-b9cb-39702d201567", "name": "Set desired 'anthropic-version'", "type": "n8n-nodes-base.set", "notes": "2023-06-01", "position": [2188, 625], "parameters": {"options": {}, "assignments": {"assignments": [{"id": "9f9e94a0-304b-487a-8762-d74421ef4cc0", "name": "anthropic-version", "type": "string", "value": "2023-06-01"}]}, "includeOtherFields": true}, "notesInFlow": true, "typeVersion": 3.4}, {"id": "f71f261c-f4ad-4c9f-bd72-42ab386a65e1", "name": "Execute Workflow 'Process Multiple Prompts in Parallel with Anthropic Claude Batch API'", "type": "n8n-nodes-base.executeWorkflow", "notes": "See above", "position": [2408, 625], "parameters": {"options": {"waitForSubWorkflow": true}, "workflowId": {"__rl": true, "mode": "list", "value": "xQU4byMGhgFxnTIH", "cachedResultName": "Process Multiple Prompts in Parallel with Anthropic Claude Batch API"}, "workflowInputs": {"value": {"requests": "={{ $json.requests }}", "anthropic-version": "={{ $json['anthropic-version'] }}"}, "schema": [{"id": "anthropic-version", "type": "string", "display": true, "removed": false, "required": false, "displayName": "anthropic-version", "defaultMatch": false, "canBeUsedToMatch": true}, {"id": "requests", "type": "array", "display": true, "removed": false, "required": false, "displayName": "requests", "defaultMatch": false, "canBeUsedToMatch": true}], "mappingMode": "defineBelow", "matchingColumns": ["requests"], "attemptToConvertTypes": true, "convertFieldsToString": true}}, "notesInFlow": true, "typeVersion": 1.2}, {"id": "bd27c1a6-572c-420d-84ab-4d8b7d14311b", "name": "Build batch 'request' object for single query", "type": "n8n-nodes-base.code", "position": [1308, 775], "parameters": {"jsCode": "// Loop over input items and modify them to match the response example, then return input.all()\nfor (const item of $input.all()) {\n  item.json.params = {\n    max_tokens: item.json.max_tokens,\n    messages: [\n      {\n        content: item.json.query,\n        role: \"user\"\n      }\n    ],\n    model: item.json.model\n  };\n}\n\nreturn $input.all();\n"}, "typeVersion": 2}, {"id": "fa342231-ea94-43ab-8808-18c8d04fdaf8", "name": "Simple Memory Store", "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow", "position": [644, 595], "parameters": {"sessionKey": "\"Process Multiple Prompts in Parallel with Anthropic Claude Batch API example\"", "sessionIdType": "customKey"}, "typeVersion": 1.3}, {"id": "67047fe6-8658-45ba-be61-52cf6115f4e4", "name": "Fill Chat Memory with example data", "type": "@n8n/n8n-nodes-langchain.memoryManager", "position": [556, 375], "parameters": {"mode": "insert", "messages": {"messageValues": [{"message": "You are a helpful AI assistant"}, {"type": "user", "message": "Hey Claude, tell me a short fun fact about video games!"}, {"type": "ai", "message": "short fun fact about video games!"}, {"type": "user", "message": "No, an actual fun fact"}]}}, "typeVersion": 1.1}, {"id": "dbb295b8-01fd-445f-ab66-948442b6c71d", "name": "Build batch 'request' object from Chat Memory and execution data", "type": "n8n-nodes-base.code", "position": [1528, 475], "parameters": {"jsCode": "const output = [];\n\nfor (const item of $input.all()) {\n  const inputMessages = item.json.messages;\n  const customId = item.json.custom_id;\n  const model = item.json.model;\n  const maxTokens = item.json.max_tokens;\n\n  if (inputMessages && inputMessages.length > 0) {\n    let systemMessageContent = undefined;\n    const transformedMessages = [];\n\n    // Process each message entry in sequence\n    for (const messageObj of inputMessages) {\n      // Extract system message if present\n      if ('system' in messageObj) {\n        systemMessageContent = messageObj.system;\n      }\n      \n      // Process human and AI messages in the order they appear in the object keys\n      // We need to determine what order the keys appear in the original object\n      const keys = Object.keys(messageObj);\n      \n      for (const key of keys) {\n        if (key === 'human') {\n          transformedMessages.push({\n            role: \"user\",\n            content: messageObj.human\n          });\n        } else if (key === 'ai') {\n          transformedMessages.push({\n            role: \"assistant\",\n            content: messageObj.ai\n          });\n        }\n        // Skip 'system' as we already processed it\n      }\n    }\n\n    const params = {\n      model: model,\n      max_tokens: maxTokens,\n      messages: transformedMessages\n    };\n\n    if (systemMessageContent !== undefined) {\n      params.system = systemMessageContent;\n    }\n\n    output.push({\n      custom_id: customId,\n      params: params\n    });\n  }\n}\n\nreturn output;"}, "typeVersion": 2}, {"id": "f9edb335-c33d-45fc-8f9b-12d7f37cc23e", "name": "Load Chat Memory Data", "type": "@n8n/n8n-nodes-langchain.memoryManager", "position": [932, 475], "parameters": {"options": {}}, "typeVersion": 1.1}, {"id": "22399660-ebe5-4838-bad3-c542d6d921a3", "name": "First Prompt Result", "type": "n8n-nodes-base.executionData", "position": [2848, 525], "parameters": {"dataToSave": {"values": [{"key": "assistant_response", "value": "={{ $json.result.message.content[0].text }}"}]}}, "typeVersion": 1}, {"id": "0e7f44f4-c931-4e0f-aebc-1b8f0327647f", "name": "Second Prompt Result", "type": "n8n-nodes-base.executionData", "position": [2848, 725], "parameters": {"dataToSave": {"values": [{"key": "assistant_response", "value": "={{ $json.result.message.content[0].text }}"}]}}, "typeVersion": 1}, {"id": "e42b01e0-8fc5-42e1-aa45-aa85477e766b", "name": "Split Out Parsed Results", "type": "n8n-nodes-base.splitOut", "position": [1060, -160], "parameters": {"options": {}, "fieldToSplitOut": "parsed"}, "typeVersion": 1}, {"id": "343676b9-f147-4981-b555-8af570374e8c", "name": "Filter Second Prompt Results", "type": "n8n-nodes-base.filter", "position": [2628, 725], "parameters": {"options": {}, "conditions": {"options": {"version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict"}, "combinator": "and", "conditions": [{"id": "9e4b3524-7066-46cc-a365-8d23d08c1bda", "operator": {"name": "filter.operator.equals", "type": "string", "operation": "equals"}, "leftValue": "={{ $json.custom_id }}", "rightValue": "={{ $('Append execution data for single query example').item.json.custom_id }}"}]}}, "typeVersion": 2.2}, {"id": "c9f5f366-27c4-4401-965b-67c314036fb6", "name": "Filter First Prompt Results", "type": "n8n-nodes-base.filter", "position": [2628, 525], "parameters": {"options": {}, "conditions": {"options": {"version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict"}, "combinator": "and", "conditions": [{"id": "9e4b3524-7066-46cc-a365-8d23d08c1bda", "operator": {"name": "filter.operator.equals", "type": "string", "operation": "equals"}, "leftValue": "={{ $json.custom_id }}", "rightValue": "={{ $('Append execution data for chat memory example').item.json.custom_id }}"}]}}, "typeVersion": 2.2}, {"id": "0a5b9c3d-665b-4e35-be9e-c8297314969d", "name": "Sticky Note3", "type": "n8n-nodes-base.stickyNote", "position": [110, -100], "parameters": {"height": 300, "content": "## Submit batch request to Anthropic"}, "typeVersion": 1}, {"id": "f19813a5-f669-45dd-a446-947a30b02b09", "name": "Sticky Note4", "type": "n8n-nodes-base.stickyNote", "position": [350, -5], "parameters": {"width": 640, "height": 300, "content": "## Loop until processing status is 'ended'"}, "typeVersion": 1}, {"id": "9f424fce-5610-4b85-9be6-4c2c403002db", "name": "Sticky Note5", "type": "n8n-nodes-base.stickyNote", "position": [500, -200], "parameters": {"width": 280, "height": 180, "content": "### Retrieve Message Batch Results\n\n[User guide](https://docs.anthropic.com/en/docs/build-with-claude/batch-processing)"}, "typeVersion": 1}, {"id": "b87673b1-f08d-4c51-8ee5-4d54557cb382", "name": "Sticky Note6", "type": "n8n-nodes-base.stickyNote", "position": [900, 380], "parameters": {"color": 5, "width": 820, "height": 340, "content": "# Example usage with Chat History Node"}, "typeVersion": 1}, {"id": "d6d8ac02-7005-40a1-9950-9517e98e315c", "name": "Sticky Note7", "type": "n8n-nodes-base.stickyNote", "position": [180, 720], "parameters": {"width": 1540, "height": 220, "content": "# Example usage with single query string"}, "typeVersion": 1}, {"id": "0d63deb0-dece-4502-9020-d67c1f194466", "name": "Sticky Note8", "type": "n8n-nodes-base.stickyNote", "position": [180, 320], "parameters": {"color": 3, "width": 660, "height": 400, "content": "# Environment setup\nFor Chat History Node"}, "typeVersion": 1}, {"id": "cab94e09-6b84-4a38-b854-670241744db5", "name": "Sticky Note9", "type": "n8n-nodes-base.stickyNote", "position": [2120, 800], "parameters": {"height": 220, "content": "## anthropic-version\n\n[Documentation](https://docs.anthropic.com/en/api/versioning)\n\nWhen making API requests, you must send an anthropic-version request header. For example, anthropic-version: `2023-06-01` (latest supported version)"}, "typeVersion": 1}, {"id": "ab0a51a1-3c84-4a88-968b-fd46ab07de85", "name": "Sticky Note10", "type": "n8n-nodes-base.stickyNote", "position": [2560, 400], "parameters": {"color": 5, "width": 480, "height": 300, "content": "# Example usage with Chat History Node (result)"}, "typeVersion": 1}, {"id": "d91b9be7-ef32-48d6-b880-cab0e99ba9bc", "name": "Sticky Note11", "type": "n8n-nodes-base.stickyNote", "position": [2560, 700], "parameters": {"width": 480, "height": 300, "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n# Example usage with single query string (result)"}, "typeVersion": 1}, {"id": "341811e9-6677-42d9-be28-c388dbf68101", "name": "Join two example requests into array", "type": "n8n-nodes-base.merge", "position": [1748, 625], "parameters": {}, "typeVersion": 3.1}, {"id": "45a09f05-7610-4b0a-ab7f-0094c4b3f318", "name": "Append execution data for single query example", "type": "n8n-nodes-base.set", "notes": "custom_id, model and max tokens", "position": [1010, 775], "parameters": {"options": {}, "assignments": {"assignments": [{"id": "8276602f-689f-45c2-bce0-5df8500912b6", "name": "custom_id", "type": "string", "value": "second-prompt-in-my-batch"}, {"id": "2c513dc2-d8cb-4ba3-b3c1-ea79517b9434", "name": "model", "type": "string", "value": "claude-3-5-haiku-20241022"}, {"id": "b052140b-1152-4327-9c5a-5030b78990b7", "name": "max_tokens", "type": "number", "value": 100}]}, "includeOtherFields": true}, "notesInFlow": true, "typeVersion": 3.4}, {"id": "c4e35349-840c-4c81-852c-0d8cd9331364", "name": "Append execution data for chat memory example", "type": "n8n-nodes-base.set", "notes": "custom_id, model and max tokens", "position": [1308, 475], "parameters": {"options": {}, "assignments": {"assignments": [{"id": "8276602f-689f-45c2-bce0-5df8500912b6", "name": "custom_id", "type": "string", "value": "first-prompt-in-my-batch"}, {"id": "2c513dc2-d8cb-4ba3-b3c1-ea79517b9434", "name": "model", "type": "string", "value": "claude-3-5-haiku-20241022"}, {"id": "b052140b-1152-4327-9c5a-5030b78990b7", "name": "max_tokens", "type": "number", "value": 100}]}, "includeOtherFields": true}, "notesInFlow": true, "typeVersion": 3.4}, {"id": "058aedb1-fdfe-4edc-8d51-3b93ec7d232d", "name": "Truncate Chat Memory", "type": "@n8n/n8n-nodes-langchain.memoryManager", "notes": "ensure clean state", "position": [180, 475], "parameters": {"mode": "delete", "deleteMode": "all"}, "notesInFlow": true, "typeVersion": 1.1}], "pinData": {}, "connections": {"Get results": {"main": [[{"node": "Parse response", "type": "main", "index": 0}]]}, "Run example": {"main": [[{"node": "One query example", "type": "main", "index": 0}, {"node": "Truncate Chat Memory", "type": "main", "index": 0}]]}, "Submit batch": {"main": [[{"node": "If ended processing", "type": "main", "index": 0}]]}, "Parse response": {"main": [[{"node": "Split Out Parsed Results", "type": "main", "index": 0}]]}, "One query example": {"main": [[{"node": "Append execution data for single query example", "type": "main", "index": 0}]]}, "Check batch status": {"main": [[{"node": "If ended processing", "type": "main", "index": 0}]]}, "If ended processing": {"main": [[{"node": "Get results", "type": "main", "index": 0}], [{"node": "Batch Status Poll Interval", "type": "main", "index": 0}]]}, "Simple Memory Store": {"ai_memory": [[{"node": "Load Chat Memory Data", "type": "ai_memory", "index": 0}, {"node": "Fill Chat Memory with example data", "type": "ai_memory", "index": 0}, {"node": "Truncate Chat Memory", "type": "ai_memory", "index": 0}]]}, "Truncate Chat Memory": {"main": [[{"node": "Fill Chat Memory with example data", "type": "main", "index": 0}]]}, "Load Chat Memory Data": {"main": [[{"node": "Append execution data for chat memory example", "type": "main", "index": 0}]]}, "Batch Status Poll Interval": {"main": [[{"node": "Check batch status", "type": "main", "index": 0}]]}, "Construct 'requests' array": {"main": [[{"node": "Set desired 'anthropic-version'", "type": "main", "index": 0}]]}, "Delete original properties": {"main": [[{"node": "Join two example requests into array", "type": "main", "index": 1}]]}, "Filter First Prompt Results": {"main": [[{"node": "First Prompt Result", "type": "main", "index": 0}]]}, "Filter Second Prompt Results": {"main": [[{"node": "Second Prompt Result", "type": "main", "index": 0}]]}, "Set desired 'anthropic-version'": {"main": [[{"node": "Execute Workflow 'Process Multiple Prompts in Parallel with Anthropic Claude Batch API'", "type": "main", "index": 0}]]}, "When Executed by Another Workflow": {"main": [[{"node": "Submit batch", "type": "main", "index": 0}]]}, "Fill Chat Memory with example data": {"main": [[{"node": "Load Chat Memory Data", "type": "main", "index": 0}]]}, "Join two example requests into array": {"main": [[{"node": "Construct 'requests' array", "type": "main", "index": 0}]]}, "Append execution data for chat memory example": {"main": [[{"node": "Build batch 'request' object from Chat Memory and execution data", "type": "main", "index": 0}]]}, "Build batch 'request' object for single query": {"main": [[{"node": "Delete original properties", "type": "main", "index": 0}]]}, "Append execution data for single query example": {"main": [[{"node": "Build batch 'request' object for single query", "type": "main", "index": 0}]]}, "Build batch 'request' object from Chat Memory and execution data": {"main": [[{"node": "Join two example requests into array", "type": "main", "index": 0}]]}, "Execute Workflow 'Process Multiple Prompts in Parallel with Anthropic Claude Batch API'": {"main": [[{"node": "Filter First Prompt Results", "type": "main", "index": 0}, {"node": "Filter Second Prompt Results", "type": "main", "index": 0}]]}}}