Traitement groupé de requêtes avec l'API Anthropic Claude

• •Peut nécessiter les informations d'identification d'authentification de l'API cible

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      "name": "Soumettre le lot",
      "type": "n8n-nodes-base.httpRequest",
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      "parameters": {
        "url": "https://api.anthropic.com/v1/messages/batches",
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              "name": "anthropic-version",
              "value": "={{ $json[\"anthropic-version\"] }}"
            }
          ]
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        "nodeCredentialType": "anthropicApi"
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      "credentials": {
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              "name": "anthropic-version",
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        "nodeCredentialType": "anthropicApi"
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            },
            {
              "name": "requests",
              "type": "array"
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        "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"
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        "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```"
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        "content": "# Usage example"
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              "name": "query",
              "type": "string",
              "value": "Hey Claude, tell me a short fun fact about bees!"
            }
          ]
        }
      },
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      "name": "Supprimer les propriétés d'origine",
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      "notes": "2023-06-01",
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              "type": "string",
              "value": "2023-06-01"
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      "name": "Exécuter le workflow 'Traiter plusieurs prompts en parallèle avec Anthropic Claude Lot API'",
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          "waitForSubWorkflow": true
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        "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": [
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              "id": "anthropic-version",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "anthropic-version",
              "defaultMatch": false,
              "canBeUsedToMatch": true
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              "display": true,
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              "required": false,
              "displayName": "requests",
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              "canBeUsedToMatch": true
            }
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          "mappingMode": "defineBelow",
          "matchingColumns": [
            "requests"
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          "attemptToConvertTypes": true,
          "convertFieldsToString": true
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      "position": [
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      ],
      "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": [
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      ],
      "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": "Remplir la mémoire de chat avec des exemples de données",
      "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"
            }
          ]
        }
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      "id": "dbb295b8-01fd-445f-ab66-948442b6c71d",
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      "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
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      "id": "f9edb335-c33d-45fc-8f9b-12d7f37cc23e",
      "name": "Charger les données de la mémoire de chat",
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      "name": "Résultat du premier prompt",
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      "parameters": {
        "dataToSave": {
          "values": [
            {
              "key": "assistant_response",
              "value": "={{ $json.result.message.content[0].text }}"
            }
          ]
        }
      },
      "typeVersion": 1
    },
    {
      "id": "0e7f44f4-c931-4e0f-aebc-1b8f0327647f",
      "name": "Résultat du deuxième prompt",
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      "parameters": {
        "dataToSave": {
          "values": [
            {
              "key": "assistant_response",
              "value": "={{ $json.result.message.content[0].text }}"
            }
          ]
        }
      },
      "typeVersion": 1
    },
    {
      "id": "e42b01e0-8fc5-42e1-aa45-aa85477e766b",
      "name": "Séparer les résultats analysés",
      "type": "n8n-nodes-base.splitOut",
      "position": [
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      "parameters": {
        "options": {},
        "fieldToSplitOut": "parsed"
      },
      "typeVersion": 1
    },
    {
      "id": "343676b9-f147-4981-b555-8af570374e8c",
      "name": "Filtrer les résultats du deuxième prompt",
      "type": "n8n-nodes-base.filter",
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      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
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              "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
    },
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            "caseSensitive": true,
            "typeValidation": "strict"
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              "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
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      "name": "Note adhésive 3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        110,
        -100
      ],
      "parameters": {
        "height": 300,
        "content": "## Submit batch request to Anthropic"
      },
      "typeVersion": 1
    },
    {
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      "name": "Note adhésive 4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        350,
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      ],
      "parameters": {
        "width": 640,
        "height": 300,
        "content": "## Loop until processing status is 'ended'"
      },
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      "parameters": {
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        "content": "### Retrieve Message Batch Results\n\n[User guide](https://docs.anthropic.com/en/docs/build-with-claude/batch-processing)"
      },
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      "position": [
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      "parameters": {
        "color": 5,
        "width": 820,
        "height": 340,
        "content": "# Example usage with Chat History Node"
      },
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    },
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      "position": [
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      ],
      "parameters": {
        "width": 1540,
        "height": 220,
        "content": "# Example usage with single query string"
      },
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      "position": [
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      "parameters": {
        "color": 3,
        "width": 660,
        "height": 400,
        "content": "# Environment setup\nFor Chat History Node"
      },
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    },
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      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      ],
      "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": "Note adhésive 10",
      "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": "Note adhésive 11",
      "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": "Joindre deux exemples de requêtes dans un tableau",
      "type": "n8n-nodes-base.merge",
      "position": [
        1748,
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      ],
      "parameters": {},
      "typeVersion": 3.1
    },
    {
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      "name": "Ajouter les données d'exécution pour l'exemple de requête unique",
      "type": "n8n-nodes-base.set",
      "notes": "custom_id, model and max tokens",
      "position": [
        1010,
        775
      ],
      "parameters": {
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        "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
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        "includeOtherFields": true
      },
      "notesInFlow": true,
      "typeVersion": 3.4
    },
    {
      "id": "c4e35349-840c-4c81-852c-0d8cd9331364",
      "name": "Ajouter les données d'exécution pour l'exemple de mémoire de chat",
      "type": "n8n-nodes-base.set",
      "notes": "custom_id, model and max tokens",
      "position": [
        1308,
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      ],
      "parameters": {
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        "assignments": {
          "assignments": [
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              "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",
              "type": "number",
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      "typeVersion": 3.4
    },
    {
      "id": "058aedb1-fdfe-4edc-8d51-3b93ec7d232d",
      "name": "Tronquer la mémoire 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
    }
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