Procesamiento por lotes de indicaciones usando la API de Anthropic Claude
Avanzado
Este es unBuilding Blocks, AIflujo de automatización del dominio deautomatización que contiene 39 nodos.Utiliza principalmente nodos como If, Set, Code, Wait, Merge, combinando tecnología de inteligencia artificial para lograr automatización inteligente. Procesamiento por lotes de indicaciones con la API de Anthropic Claude
Requisitos previos
- •Pueden requerirse credenciales de autenticación para la API de destino
Nodos utilizados (39)
Vista previa del flujo de trabajo
Visualización de las conexiones entre nodos, con soporte para zoom y panorámica
Exportar flujo de trabajo
Copie la siguiente configuración JSON en n8n para importar y usar este flujo de trabajo
{
"meta": {
"instanceId": "97d44c78f314fab340d7a5edaf7e2c274a7fbb8a7cd138f53cc742341e706fe7"
},
"nodes": [
{
"id": "fa4f8fd6-3272-4a93-8547-32d13873bbc1",
"name": "Enviar lote",
"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": "Verificar estado del lote",
"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": "Cuando se ejecuta por otro flujo de trabajo",
"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": "Obtener resultados",
"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": "Analizar respuesta",
"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": "Si finalizó el procesamiento",
"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": "Nota adhesiva",
"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": "Nota adhesiva1",
"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": "Intervalo de sondeo de estado del lote",
"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": "Nota adhesiva2",
"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": "Ejecutar ejemplo",
"type": "n8n-nodes-base.manualTrigger",
"position": [
-40,
625
],
"parameters": {},
"typeVersion": 1
},
{
"id": "9878729a-123d-4460-a582-691ca8cedf98",
"name": "Ejemplo de una consulta",
"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": "Eliminar propiedades originales",
"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": "Construir arreglo 'requests'",
"type": "n8n-nodes-base.aggregate",
"position": [
1968,
625
],
"parameters": {
"options": {},
"aggregate": "aggregateAllItemData",
"destinationFieldName": "requests"
},
"typeVersion": 1
},
{
"id": "0f9eb605-d629-4cb7-b9cb-39702d201567",
"name": "Establecer versión deseada de 'anthropic'",
"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": "Ejecutar flujo de trabajo 'Procesar múltiples prompts en paralelo con Anthropic Claude Lote 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": "Construir objeto 'request' de lote para consulta única",
"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": "Almacén de memoria simple",
"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": "Llenar memoria de chat con datos de ejemplo",
"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": "Construir objeto 'request' de lote desde memoria de chat y datos de ejecución",
"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": "Cargar datos de memoria de chat",
"type": "@n8n/n8n-nodes-langchain.memoryManager",
"position": [
932,
475
],
"parameters": {
"options": {}
},
"typeVersion": 1.1
},
{
"id": "22399660-ebe5-4838-bad3-c542d6d921a3",
"name": "Resultado del primer prompt",
"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": "Resultado del segundo prompt",
"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": "Separar resultados analizados",
"type": "n8n-nodes-base.splitOut",
"position": [
1060,
-160
],
"parameters": {
"options": {},
"fieldToSplitOut": "parsed"
},
"typeVersion": 1
},
{
"id": "343676b9-f147-4981-b555-8af570374e8c",
"name": "Filtrar resultados del segundo prompt",
"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": "Filtrar resultados del primer prompt",
"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": "Nota adhesiva3",
"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": "Nota adhesiva4",
"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": "Nota adhesiva5",
"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": "Nota adhesiva6",
"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": "Nota adhesiva7",
"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": "Nota adhesiva8",
"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": "Nota adhesiva9",
"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": "Nota adhesiva10",
"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": "Nota adhesiva11",
"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": "Unir dos solicitudes de ejemplo en arreglo",
"type": "n8n-nodes-base.merge",
"position": [
1748,
625
],
"parameters": {},
"typeVersion": 3.1
},
{
"id": "45a09f05-7610-4b0a-ab7f-0094c4b3f318",
"name": "Anexar datos de ejecución para ejemplo de consulta única",
"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"
},
{
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"name": "max_tokens",
"type": "number",
"value": 100
}
]
},
"includeOtherFields": true
},
"notesInFlow": true,
"typeVersion": 3.4
},
{
"id": "c4e35349-840c-4c81-852c-0d8cd9331364",
"name": "Anexar datos de ejecución para ejemplo de memoria de chat",
"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"
},
{
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"name": "model",
"type": "string",
"value": "claude-3-5-haiku-20241022"
},
{
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"name": "max_tokens",
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}
]
},
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},
"notesInFlow": true,
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},
{
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"name": "Truncar memoria de chat",
"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": {
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},
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},
"fa342231-ea94-43ab-8808-18c8d04fdaf8": {
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[
{
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},
{
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{
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[
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}
}Preguntas frecuentes
¿Cómo usar este flujo de trabajo?
Copie el código de configuración JSON de arriba, cree un nuevo flujo de trabajo en su instancia de n8n y seleccione "Importar desde JSON", pegue la configuración y luego modifique la configuración de credenciales según sea necesario.
¿En qué escenarios es adecuado este flujo de trabajo?
Avanzado - Bloques de construcción, Inteligencia Artificial
¿Es de pago?
Este flujo de trabajo es completamente gratuito, puede importarlo y usarlo directamente. Sin embargo, tenga en cuenta que los servicios de terceros utilizados en el flujo de trabajo (como la API de OpenAI) pueden requerir un pago por su cuenta.
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Nivel de dificultad
Avanzado
Número de nodos39
Categoría2
Tipos de nodos16
Descripción de la dificultad
Autor
Greg Evseev
@greg15+ years in AI/ML development & integration. Now specializing in establishing ISO 42001-compliant AI management systems. Background includes AI/ML research, system development, AI governance, and ISO 42001 Lead Auditor training (in progress). Helping organizations: ✓ Evaluate AI maturity & governance ✓ Implement ISO 42001 systems ✓ Bridge technical & regulatory requirements ✓ Design practical AI governance frameworks Expertise: AI Risk Assessment, Compliance Strategy, Technical Due Diligence.
Enlaces externos
Ver en n8n.io →
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