{
  "workflow": {
    "id": 3195,
    "name": "🉑 Generate Anki flash cards for language learning with Google Translate and GPT",
    "views": 4261,
    "recentViews": 0,
    "totalViews": 4261,
    "createdAt": "2025-03-17T08:43:10.597Z",
    "description": "### Context\nHey! I'm [Samir](https://samirsaci.com), a **Supply Chain Data Scientist from Paris** who spent six years in China studying and working while **struggling to learn Mandarin.**\n\n![I want to study Mandarin (In Mandarin)](https://www.samirsaci.com/content/images/size/w1000/2025/03/image-23.png)\n\nI know the challenges of **mastering a complex language** like Chinese and my greatest support was **flash cards**. Therefore,  I designed this workflow to support fellow Mandarin learners by **automating flashcard creation** using n8n, so they can focus more on learning and less on manual data entry.\n\n📬 For business inquiries, you can add me on [Here](https://www.linkedin.com/in/samir-saci)\n\n### Who is this template for?\nThis workflow template is designed for **language learners** and **educators** who want to automate the creation of flashcards for Mandarin (or any other language) using **Google Translate API**, an **AI agent** for phonetic transcription and generating an illustrative sentence and a **free image retrieval API**.\n\n![Example of Flash Card](https://miro.medium.com/max/1400/1*q3203G-NbZGg1dqHewNgWA.png) \n\n#### Why?\nIf you use the open-source application **Anki**, this workflow will help you automatically generate personalized study materials.\n\n#### How?\nLet us imagine you want to learn how to say the word **Contract** in Mandarin.\n\nThe workflow will automatically\n1. **Translate the word** in Simplified Mandarin *(Mandarin: 合同)*.\n2. Provide the **phonetic transcription** *(Pinyin: Hétóng)* \n3. Generate **an example sentence** *(Example: 我们签订了一份合同.)*\n4. Download an **illustrative picture** (For example, a picture of a contract signature)\n\n![Example of Google Sheet](https://www.samirsaci.com/content/images/size/w1600/2025/03/image-1.png)\n\nAll these fields are automatically recorded in a Google Sheet, making it easy to import into Anki and generate flashcards instantly\n\n### What do I need to start?\nThis workflow can be used with the free tier plans of the services used. It does not require any advanced programming skills.\n#### Prerequisite\n- A **Google Drive Account** with a folder including a Google Sheet\n- API Credentials: **Google Drive API**, **Google Sheets API** and **Google Translate API** activated with OAuth2 credentials\n- A free API key of pexels.com\n- A google sheet with the columns\n#### Next\nFollow the **sticky notes** to set up the parameters inside each node and get ready to pump your learning skills.\n\nI have detailed the steps in a **short tutorial** 👇\n\n[![image.png](https://www.samirsaci.com/content/images/2025/04/Flash-Cards.png)](https://youtu.be/2mRZJATUTDw)\n\n 🎥 [Check My Tutorial](https://youtu.be/2mRZJATUTDw)\n\n### Notes\n- This workflow can be used **for any language**. In the AI Agent prompt, you just need to replace the word pinyin with phonetic transcription.\n- You can adapt the trigger to operate the workflow in the way you want. These operations can be performed by batch or triggered by Telegram, email, or webhook.\n- If you want to learn more about how I used Anki flash cards to learn mandarin: 🈷️ [Blog Article about Anki Flash Cards](https://www.samirsaci.com/automate-flash-cards-creation-for-language-learning-with-python/)\n\n\n*This workflow has been created with N8N  1.82.1*\n*Submitted: March 17th, 2025*",
    "workflow": {
      "meta": {
        "instanceId": "6a5e68bcca67c4cdb3e0b698d01739aea084e1ec06e551db64aeff43d174cb23",
        "templateCredsSetupCompleted": true
      },
      "nodes": [
        {
          "id": "bc49829b-45f2-4910-9c37-907271982f14",
          "name": "Sticky Note3",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -2240,
            -840
          ],
          "parameters": {
            "width": 780,
            "height": 540,
            "content": "### 5. Do you need more details?\nFind a step-by-step guide in this tutorial\n![Guide](https://www.samirsaci.com/content/images/2025/04/Flash-Cards.png)\n[🎥 Watch My Tutorial](https://youtu.be/2mRZJATUTDw)"
          },
          "typeVersion": 1
        },
        {
          "id": "f0defc20-f099-4c7c-83a7-bb687b86a6b7",
          "name": "Google Translate",
          "type": "n8n-nodes-base.googleTranslate",
          "notes": "Translation -> 中文",
          "position": [
            -3500,
            -420
          ],
          "parameters": {
            "text": "={{ $json.initialText }}",
            "translateTo": "zh-CN"
          },
          "notesInFlow": true,
          "typeVersion": 2
        },
        {
          "id": "588d011c-d7e0-4b31-87be-d0c7ff6bf4b7",
          "name": "AI Agent",
          "type": "@n8n/n8n-nodes-langchain.agent",
          "notes": "Pinyin + Example",
          "position": [
            -3080,
            -380
          ],
          "parameters": {
            "text": "={{ $json.translatedText }}",
            "options": {
              "systemMessage": "# Role\nYou are a helpful translation agent that will help users to extract the pinyin from Chinese characters to create flashcard for language learning.\n\n# Context\nYou will receive a word or sentence in simplified Chinese characters; you are expected to extract the pinyin and generate a simple sentence in Chinese to illustrate the sense of the word. \n\n# Tasks\n1. Generate the pinyin of the characters presented\n2. Propose a short sentence in mandarin to illustrate the definition of the word.\n\n# Notes\n- Generate the output in JSON format following the example below:\n{\"pinyin\": \"Cāngkù\",\n\"sentence\": \"卡车抵达仓库。\"}\n\n- Be very diligent in thinking about the task being asked from you.\n- Generate concise sentences as they need to fit in flash cards.\n"
            },
            "promptType": "define",
            "hasOutputParser": true
          },
          "notesInFlow": true,
          "typeVersion": 1.7
        },
        {
          "id": "cc04e0be-0eea-4d92-a85f-10bd75c03081",
          "name": "OpenAI Chat Model",
          "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
          "position": [
            -3080,
            -200
          ],
          "parameters": {
            "model": {
              "__rl": true,
              "mode": "list",
              "value": "gpt-4o-mini"
            },
            "options": {}
          },
          "typeVersion": 1.2
        },
        {
          "id": "d98262f4-9066-420b-a440-fdbc83ca0ef0",
          "name": "Structured Output Parser",
          "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
          "position": [
            -2900,
            -200
          ],
          "parameters": {
            "jsonSchemaExample": "{\n  \"pinyin\": \"Cāngkù\",\n  \"sentence\": \"货物存放在仓库里。\"\n}"
          },
          "typeVersion": 1.2
        },
        {
          "id": "e4ed388f-7520-4df2-8e37-d2b85b1ce532",
          "name": "Merge",
          "type": "n8n-nodes-base.merge",
          "position": [
            -2580,
            -400
          ],
          "parameters": {
            "mode": "combineBySql"
          },
          "typeVersion": 3
        },
        {
          "id": "c1431b36-77ee-4b50-a4e1-05489e998894",
          "name": "Trigger Added Row",
          "type": "n8n-nodes-base.googleSheetsTrigger",
          "notes": "Write a word in a new row",
          "position": [
            -3920,
            -420
          ],
          "parameters": {
            "event": "rowAdded",
            "options": {
              "valueRender": "UNFORMATTED_VALUE",
              "dateTimeRenderOption": "SERIAL_NUMBER"
            },
            "pollTimes": {
              "item": [
                {
                  "mode": "everyMinute"
                }
              ]
            },
            "sheetName": {
              "__rl": true,
              "mode": "list",
              "value": 1051887098,
              "cachedResultUrl": "",
              "cachedResultName": ""
            },
            "documentId": {
              "__rl": true,
              "mode": "list",
              "value": "<YOUR_GOOGLE_SHEET_ID>",
              "cachedResultUrl": "",
              "cachedResultName": ""
            }
          },
          "notesInFlow": true,
          "typeVersion": 1
        },
        {
          "id": "4bafdddc-3c7f-40d4-ab17-75c6728bd5a3",
          "name": "No Operation, do nothing",
          "type": "n8n-nodes-base.noOp",
          "notes": "If cell empty, do nothing",
          "position": [
            -3500,
            -260
          ],
          "parameters": {},
          "notesInFlow": true,
          "typeVersion": 1
        },
        {
          "id": "adabd9e0-13de-409b-a3ce-3c76c9624fc0",
          "name": "Upload Picture",
          "type": "n8n-nodes-base.googleDrive",
          "position": [
            -2740,
            460
          ],
          "parameters": {
            "name": "={{ $('Trigger Added Row').item.json.initialText }}.jpeg",
            "driveId": {
              "__rl": true,
              "mode": "list",
              "value": "My Drive",
              "cachedResultUrl": "https://drive.google.com/drive/my-drive",
              "cachedResultName": "My Drive"
            },
            "options": {},
            "folderId": {
              "__rl": true,
              "mode": "url",
              "value": ""
            }
          },
          "typeVersion": 3
        },
        {
          "id": "9cfa6722-ff5e-4ee2-a4ca-2b4175767c84",
          "name": "Get Picture",
          "type": "n8n-nodes-base.httpRequest",
          "position": [
            -2900,
            460
          ],
          "parameters": {
            "url": "={{ $json.photos[0].src.medium }}",
            "options": {}
          },
          "typeVersion": 4.2
        },
        {
          "id": "4bfa5fc7-dd76-4611-916e-5b33a0a9acdb",
          "name": "Call API Pexels",
          "type": "n8n-nodes-base.httpRequest",
          "position": [
            -3080,
            460
          ],
          "parameters": {
            "url": "https://api.pexels.com/v1/search",
            "options": {},
            "sendQuery": true,
            "sendHeaders": true,
            "queryParameters": {
              "parameters": [
                {
                  "name": "query",
                  "value": "={{ $('Trigger Added Row').item.json.initialText }}"
                }
              ]
            },
            "headerParameters": {
              "parameters": [
                {
                  "name": "Authorization",
                  "value": "<PEXELS_API_KEY>"
                }
              ]
            }
          },
          "typeVersion": 4.2
        },
        {
          "id": "01c5dc70-3cf5-483e-bad7-4814ca7b1f97",
          "name": "Take initialText",
          "type": "n8n-nodes-base.set",
          "position": [
            -3240,
            460
          ],
          "parameters": {
            "options": {},
            "assignments": {
              "assignments": [
                {
                  "id": "80661db0-175f-4346-a95b-5d1e73f82fb8",
                  "name": "entry",
                  "type": "string",
                  "value": "={{ $json.initialText }}"
                }
              ]
            }
          },
          "typeVersion": 3.4
        },
        {
          "id": "7630fc44-3a0c-442b-9c3b-17bd831cdb50",
          "name": "Extract Image Link",
          "type": "n8n-nodes-base.set",
          "position": [
            -2580,
            460
          ],
          "parameters": {
            "options": {},
            "assignments": {
              "assignments": [
                {
                  "id": "019a529f-9447-4d49-9a91-04666d2c8fb6",
                  "name": "image_link",
                  "type": "string",
                  "value": "={{ $json.webContentLink }}"
                }
              ]
            }
          },
          "typeVersion": 3.4
        },
        {
          "id": "69645673-87c7-48cc-982f-b4e747fdf1ec",
          "name": "Final Merge",
          "type": "n8n-nodes-base.merge",
          "position": [
            -2100,
            20
          ],
          "parameters": {
            "mode": "combine",
            "options": {},
            "combineBy": "combineByPosition"
          },
          "typeVersion": 3
        },
        {
          "id": "1ee7aca7-5b9d-424f-b49f-2ee9ca7fafdc",
          "name": "Extract Pinyin and Example",
          "type": "n8n-nodes-base.set",
          "position": [
            -2780,
            -380
          ],
          "parameters": {
            "options": {},
            "assignments": {
              "assignments": [
                {
                  "id": "c67839b8-abd5-47c9-b1e2-db599fbb5e9e",
                  "name": "phonetic",
                  "type": "string",
                  "value": "={{ $json.output.pinyin }}"
                },
                {
                  "id": "3983d009-85c4-46fd-8651-90462249f164",
                  "name": "example",
                  "type": "string",
                  "value": "={{ $json.output.sentence }}"
                }
              ]
            }
          },
          "typeVersion": 3.4
        },
        {
          "id": "baee6926-5031-43fa-94b8-8c7d36a9a6f0",
          "name": "Extract Fields",
          "type": "n8n-nodes-base.set",
          "notes": "Initial text and its translation",
          "position": [
            -3000,
            -540
          ],
          "parameters": {
            "options": {},
            "assignments": {
              "assignments": [
                {
                  "id": "6d08361f-bb45-40a0-9934-f1e7bf90a171",
                  "name": "initialText",
                  "type": "string",
                  "value": "={{ $('Trigger Added Row').item.json.initialText }}"
                },
                {
                  "id": "0a64ccc0-5a8b-4925-9111-6b7e8c0f9368",
                  "name": "translatedText",
                  "type": "string",
                  "value": "={{ $json.translatedText }}"
                },
                {
                  "id": "84a2cfbd-a6da-4a94-a26c-153cbf73fefb",
                  "name": "image_name",
                  "type": "string",
                  "value": "={{ $('Trigger Added Row').item.json.initialText }}.jpeg"
                }
              ]
            }
          },
          "notesInFlow": true,
          "typeVersion": 3.4
        },
        {
          "id": "1f86fb6b-3ec7-4ea3-9748-a69db5d0c9f2",
          "name": "initialText is empty?",
          "type": "n8n-nodes-base.if",
          "notes": "Verify is the word is not empty",
          "position": [
            -3700,
            -420
          ],
          "parameters": {
            "options": {},
            "conditions": {
              "options": {
                "version": 2,
                "leftValue": "",
                "caseSensitive": true,
                "typeValidation": "strict"
              },
              "combinator": "and",
              "conditions": [
                {
                  "id": "266614ab-f9e3-486d-929f-ce14ce67e5ff",
                  "operator": {
                    "type": "string",
                    "operation": "notEmpty",
                    "singleValue": true
                  },
                  "leftValue": "={{ $json.initialText }}",
                  "rightValue": ""
                }
              ]
            }
          },
          "notesInFlow": true,
          "typeVersion": 2.2
        },
        {
          "id": "5c1afb76-3b5a-4c35-80b9-4a05f2d2aa2d",
          "name": "Sticky Note",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -3280,
            140
          ],
          "parameters": {
            "color": 7,
            "width": 820,
            "height": 480,
            "content": "## 3. Retrieve Images from Pexels Free Database\nExtract from Google sheet the word you want to translate to download an illustrating image from the free database of pexels.com\n\n### How to set up?\n- **HTTP Request Node (Call API Pexels)**: add in the header field 'Authorization' the API key provided by Pexels. *(Register here for the free API key: https://www.pexels.com/onboarding/)*\n[Learn more about the HTTP Request Node](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.httprequest/)\n- **Upload the picture to Google Drive**:\n   1. Add your Google Drive API credentials to access the folder for images\n   2. Select your parent drive using the list, an URL or ID\n   3. Select the folder in which you want to save the pictures using the list, an URL or ID\n  [Learn more about the Google Drive Upload Node](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.googledrive)\n\n"
          },
          "typeVersion": 1
        },
        {
          "id": "ebacc192-9dba-4cab-ae0f-d5a2e885c208",
          "name": "Sticky Note1",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -3960,
            -780
          ],
          "parameters": {
            "color": 7,
            "width": 600,
            "height": 680,
            "content": "## 1. Google Sheet Trigger & Translation using API\nTrigger the workflow when the user adds a word in English in a new row of the column initialText.\n\n### How to set up?\n- **Trigger on Row Added of Google Sheet**:\n   1. Add your Google Sheet API credentials to access the Google Sheet file\n   2. Select the file using the list, an URL or an ID\n   3. Select the sheet in which the vocabulary list is stored\n  [Learn more about the Google Sheet on Row Added Trigger](https://docs.n8n.io/integrations/builtin/trigger-nodes/n8n-nodes-base.googlesheetstrigger/)\n- **Google Translate API**:\n   1. Add your Google Translate API credentials\n   2. Select the target language *(Exemple: ZH-CN for Mainland China Mandarin)*\n  [Learn more about the Google Translate API Node](https://docs.n8n.io/integrations/builtin/trigger-nodes/n8n-nodes-base.googlesheetstrigger/)\n\n"
          },
          "typeVersion": 1
        },
        {
          "id": "5bdeb1de-d535-484d-83d6-12d72d8e5ba7",
          "name": "Sticky Note2",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -3220,
            -800
          ],
          "parameters": {
            "color": 7,
            "width": 760,
            "height": 740,
            "content": "## 2. Simple AI agent to get the phonetic transcription and generate an sentence example\nThe agent will take the translated word as an input and will output the phonetic transcription and the sentence.\n\n### How to set up?\n- **AI Agent with the Chat Model**:\n   1. Add a chat model with the required credentials *(Example: Open AI 4o-mini)*\n   2. Adapt the system prompt with the target translation language and the format of the sentence\n  [Learn more about the AI Agent Node](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.agent)\n\n"
          },
          "typeVersion": 1
        },
        {
          "id": "4f3f2a71-f137-4e91-8b1e-8a7342bac293",
          "name": "Add Results in Sheet",
          "type": "n8n-nodes-base.googleSheets",
          "notes": "initialtext, translation, sentence",
          "position": [
            -1940,
            20
          ],
          "parameters": {
            "columns": {
              "value": {
                "phonetic": "={{ $json.phonetic }}",
                "sentence": "={{ $json.example }}",
                "image_link": "={{ $json.image_name }}",
                "image_name": "={{ $json.image_link }}",
                "initialText": "={{ $json.initialText }}",
                "translatedText": "={{ $json.translatedText }}"
              },
              "schema": [
                {
                  "id": "initialText",
                  "type": "string",
                  "display": true,
                  "removed": false,
                  "required": false,
                  "displayName": "initialText",
                  "defaultMatch": false,
                  "canBeUsedToMatch": true
                },
                {
                  "id": "translatedText",
                  "type": "string",
                  "display": true,
                  "required": false,
                  "displayName": "translatedText",
                  "defaultMatch": false,
                  "canBeUsedToMatch": true
                },
                {
                  "id": "phonetic",
                  "type": "string",
                  "display": true,
                  "required": false,
                  "displayName": "phonetic",
                  "defaultMatch": false,
                  "canBeUsedToMatch": true
                },
                {
                  "id": "sentence",
                  "type": "string",
                  "display": true,
                  "required": false,
                  "displayName": "sentence",
                  "defaultMatch": false,
                  "canBeUsedToMatch": true
                },
                {
                  "id": "image_name",
                  "type": "string",
                  "display": true,
                  "required": false,
                  "displayName": "image_name",
                  "defaultMatch": false,
                  "canBeUsedToMatch": true
                },
                {
                  "id": "image_link",
                  "type": "string",
                  "display": true,
                  "required": false,
                  "displayName": "image_link",
                  "defaultMatch": false,
                  "canBeUsedToMatch": true
                },
                {
                  "id": "row_number",
                  "type": "string",
                  "display": true,
                  "removed": true,
                  "readOnly": true,
                  "required": false,
                  "displayName": "row_number",
                  "defaultMatch": false,
                  "canBeUsedToMatch": true
                }
              ],
              "mappingMode": "defineBelow",
              "matchingColumns": [
                "initialText"
              ],
              "attemptToConvertTypes": false,
              "convertFieldsToString": false
            },
            "options": {},
            "operation": "update",
            "sheetName": {
              "__rl": true,
              "mode": "list",
              "value": "<YOUR_GOOGLE_SHEET_TAB_ID>",
              "cachedResultUrl": "",
              "cachedResultName": ""
            },
            "documentId": {
              "__rl": true,
              "mode": "list",
              "value": "<YOUR_GOOGLE_SHEET_ID>",
              "cachedResultUrl": "",
              "cachedResultName": ""
            }
          },
          "notesInFlow": true,
          "typeVersion": 4.5
        },
        {
          "id": "42a20d7e-03bf-4f4e-877b-04ff185cbf1c",
          "name": "Sticky Note4",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -2220,
            -280
          ],
          "parameters": {
            "color": 7,
            "width": 580,
            "height": 460,
            "content": "## 4. Combine Results to Update the Google Sheet\nCombine initial text, translation, example sentence and image link to fill the new row.\n\n### How to set up?\n- **Add Results in Google Sheet**:\n   1. Add your Google Sheet API credentials to access the Google Sheet file\n   2. Select the file using the list, an URL or an ID\n   3. Select the sheet in which the vocabulary list is stored\n  [Learn more about the Google Sheet Node](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.googlesheets)\n\n"
          },
          "typeVersion": 1
        }
      ],
      "pinData": {},
      "connections": {
        "Merge": {
          "main": [
            [
              {
                "node": "Final Merge",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "AI Agent": {
          "main": [
            [
              {
                "node": "Extract Pinyin and Example",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Final Merge": {
          "main": [
            [
              {
                "node": "Add Results in Sheet",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Get Picture": {
          "main": [
            [
              {
                "node": "Upload Picture",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Extract Fields": {
          "main": [
            [
              {
                "node": "Merge",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Upload Picture": {
          "main": [
            [
              {
                "node": "Extract Image Link",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Call API Pexels": {
          "main": [
            [
              {
                "node": "Get Picture",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Google Translate": {
          "main": [
            [
              {
                "node": "Extract Fields",
                "type": "main",
                "index": 0
              },
              {
                "node": "AI Agent",
                "type": "main",
                "index": 0
              }
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              "Condition",
              "Logic",
              "Boolean",
              "Branch"
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        "iconData": {
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        "codex": {
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            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
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            }
          }
        },
        "group": "[\"organization\"]",
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          "color": "#b0b0b0"
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                },
                {
                  "url": "https://n8n.io/blog/database-monitoring-and-alerting-with-n8n/",
                  "icon": "📡",
                  "label": "Database Monitoring and Alerting with n8n"
                },
                {
                  "url": "https://n8n.io/blog/automatically-adding-expense-receipts-to-google-sheets-with-telegram-mindee-twilio-and-n8n/",
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                  "label": "Automatically Adding Expense Receipts to Google Sheets with Telegram, Mindee, Twilio, and n8n"
                },
                {
                  "url": "https://n8n.io/blog/no-code-ecommerce-workflow-automations/",
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                  "label": "6 e-commerce workflows to power up your Shopify s"
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                {
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              "Conversational",
              "Plan and Execute",
              "ReAct",
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                "Root Nodes"
              ],
              "Language Models": [
                "Chat Models (Recommended)"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
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        },
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