{ "name": "veo limpo new", "nodes": [ { "parameters": { "mode": "runOnceForEachItem", "jsCode": "function sanitizeText(text) {\n if (!text) return \"\";\n return text\n .toString()\n // remove caracteres de controle invis\u00edveis\n .replace(/[\\x00-\\x1F\\x7F]/g, \" \")\n // remove backslashes\n .replace(/\\\\/g, \"\")\n // remove aspas duplas\n .replace(/\"/g, \"\")\n // remove quebras de linha e tabs\n .replace(/[\\r\\n\\t]+/g, \" \")\n // normaliza espa\u00e7os\n .replace(/\\s+/g, \" \")\n .trim();\n}\n\n\nconst input = $('Remove caracteres especiais').item.json;\nconsole.log(\"=== INPUT HIST\u00d3RIA (Remove caracteres especiais) ===\");\nconsole.log(input);\n\nconst firstSceneImage = $('Generate First Scene Image').item.json.predictions?.[0]?.bytesBase64Encoded || null;\nconst sessionId = input.metadata?.sessionId || \"unknown-session\";\nconsole.log(\"Session ID:\", sessionId);\n\nconst scenes = Array.isArray(input.scenes) ? input.scenes : [];\nconsole.log(\"Total de scenes encontradas:\", scenes.length);\n\nconst voice = input.voice_guide || {};\nconsole.log(\"Guia vocal:\", voice);\n\nconst processedScenes = scenes.map((scene, index) => {\n console.log(`--- Processando scene ${index + 1} ---`);\n console.log(scene);\n\n const veoPromptParts = [\n sanitizeText(scene.prompt || \"\"),\n scene.audio_cues ? `Narra\u00e7\u00e3o: ${sanitizeText(scene.audio_cues)}` : null,\n voice.style ? `Estilo vocal: ${sanitizeText(voice.style)}` : null,\n index === 0\n ? \"M\u00fasica: piano melanc\u00f3lico suave\"\n : index === 1\n ? \"M\u00fasica: cordas esperan\u00e7osas crescendo\"\n : \"M\u00fasica: orquestra inspiradora e vibrante\"\n ].filter(Boolean);\n\n const veoPrompt = veoPromptParts.join(\". \");\n\n return {\n id: scene.id || `scene_${index}`,\n duration: scene.duration || null,\n sceneIndex: index,\n isFirstScene: index === 0,\n isLastScene: index === scenes.length - 1,\n previousSceneIndex: index > 0 ? index - 1 : null,\n nextSceneIndex: index < scenes.length - 1 ? index + 1 : null,\n sessionId,\n totalScenes: scenes.length,\n\n prompt: veoPrompt,\n audioPrompt: sanitizeText(scene.audio_cues || \"\"),\n rawPrompt: sanitizeText(scene.prompt || \"\"),\n continuity_elements: Array.isArray(scene.continuity_elements) ? scene.continuity_elements : [],\n bytesBase64Encoded: index === 0 ? firstSceneImage : null\n };\n});\n\nconsole.log(\"=== SCENES PROCESSADAS ===\");\nconsole.log(processedScenes);\n\nconst combinedAudio = processedScenes\n .map(s => s.audioPrompt)\n .filter(Boolean)\n .join(\" \");\n\nconsole.log(\"=== \u00c1UDIO COMBINADO ===\");\nconsole.log(combinedAudio);\n\nreturn {\n json: {\n output: processedScenes,\n combinedAudio\n }\n};\n" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 224, -1120 ], "id": "adf14b17-9aef-406b-a8d3-139e41ed81aa", "name": "Prepare Scenes with Continuity" }, { "parameters": { "options": {} }, "type": "n8n-nodes-base.moveBinaryData", "typeVersion": 1, "position": [ 1328, -608 ], "id": "96d754f6-ac5d-478a-836b-121bd3586719", "name": "Convert to Binary Output" }, { "parameters": { "respondWith": "binary", "options": {} }, "type": "n8n-nodes-base.respondToWebhook", "typeVersion": 1.1, "position": [ 1536, -608 ], "id": "682e1efa-0f66-4fe3-8d69-304a39d42121", "name": "Send Final Video" }, { "parameters": { "url": "http://n8n:5678/webhook/config?section=apis", "options": { "timeout": 10000 } }, "id": "f51fc9d6-052e-4724-93cc-8e05e99664c1", "name": "Get Config1", "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.2, "position": [ -16, -1456 ] }, { "parameters": { "jsCode": "let raw = $input.first().json.text || '';\nraw = raw.trim();\n\n// Remove blocos markdown tipo ```json ... ``` ou apenas ```\nraw = raw.replace(/```json/i, '').replace(/```/g, '').trim();\n\n// Remove poss\u00edveis linhas isoladas que s\u00f3 tenham \"json\"\nraw = raw.replace(/^json\\s*/i, '').trim();\n\nlet parsed;\ntry {\n parsed = JSON.parse(raw);\n} catch (err) {\n throw new Error(\n \"Erro ao fazer JSON.parse: \" + err.message +\n \"\\nTexto recebido (preview):\\n\" + raw.substring(0, 200)\n );\n}\n\n// \ud83d\udd11 Retorno no formato que o n8n exige\nif (Array.isArray(parsed)) {\n return parsed.map(p => ({ json: p }));\n} else {\n return [{ json: parsed }];\n}\n" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ -224, -1120 ], "id": "fd6aca12-78de-4545-88c1-d27c629dbc88", "name": "Remove caracteres especiais" }, { "parameters": { "method": "POST", "url": "https://generativelanguage.googleapis.com/v1beta/models/imagen-4.0-generate-001:predict", "sendHeaders": true, "headerParameters": { "parameters": [ { "name": "x-goog-api-key", "value": "={{ $('Get Config1').item.json.data.apis.google.gemini_api_key }}" } ] }, "sendBody": true, "specifyBody": "json", "jsonBody": "={\n \"instances\": [\n {\n \"prompt\": \"{{ $json.scenes[0].video_prompt }}. {{ $json.visual_guide.style }}. Single unified scene, no composite shots, no picture-in-picture, no multiple panels. No text, watermarks, logos, subtitles.\"\n }\n ],\n \"parameters\": {\n \"sampleCount\": 1,\n \"aspectRatio\": \"16:9\",\n \"quality\": \"high\"\n }\n}", "options": { "timeout": 30000 } }, "id": "b64466be-6640-4c58-9b85-969aaeee4e19", "name": "Generate First Scene Image", "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.2, "position": [ 0, -1120 ] }, { "parameters": { "options": {} }, "id": "b0f4c95e-f5f6-42a8-970a-3b571460b794", "name": "Prompt Input", "type": "@n8n/n8n-nodes-langchain.chatTrigger", "position": [ -240, -1456 ], "typeVersion": 1.1 }, { "parameters": { "operation": "toBinary", "sourceProperty": "predictions[0].bytesBase64Encoded", "options": {} }, "type": "n8n-nodes-base.convertToFile", "typeVersion": 1.1, "position": [ -576, -1136 ], "id": "240d68e5-37d3-4338-85eb-89cd37d2fb38", "name": "Convert Generated Image" }, { "parameters": { "jsCode": "// Inicializa o estado para o AI Agent\nconst scenes = $input.first().json.output || [];\nconst sessionId = scenes[0]?.sessionId || 'unknown';\n\n// Cria estrutura de estado inicial\nconst initialState = {\n sessionId: sessionId,\n totalScenes: scenes.length,\n scenes: scenes.map((scene, idx) => ({\n index: idx,\n id: scene.id,\n prompt: scene.prompt,\n bytesBase64Encoded: scene.bytesBase64Encoded,\n continuityData: scene.continuityData,\n status: 'pending', // pending, processing, video_ready, done, failed, error\n operationName: null,\n videoPath: null,\n frameBase64: null,\n retryAttempt: 0,\n error: null\n })),\n currentSceneIndex: 0,\n completedCount: 0,\n failedCount: 0,\n startedAt: new Date().toISOString(),\n maxRetries: 3\n};\n\nreturn {\n json: {\n sessionId: sessionId,\n state: initialState,\n message: 'Estado inicial criado. Iniciando processamento aut\u00f4nomo...'\n }\n};" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 448, -1120 ], "id": "67361c29-899d-4fb9-9fe1-44bf70ec6546", "name": "Initialize Agent State" }, { "parameters": { "operation": "create", "databaseId": 292721, "tableId": 680992, "fieldsUi": { "fieldValues": [ { "fieldId": 5621560, "fieldValue": "={{ $json.sessionId }}" }, { "fieldId": 5621567, "fieldValue": "={{ $json['state.scenes'].bytesBase64Encoded }}" }, { "fieldId": 5621563, "fieldValue": "={{ $json['state.scenes'].prompt }}" }, { "fieldId": 5621564, "fieldValue": "={{ $json['state.scenes'].status }}" }, { "fieldId": 5621561, "fieldValue": "={{ $json['state.scenes'].id }}" } ] } }, "id": "43861346-3093-42c8-8f9e-0de93b658a5c", "name": "Baserow", "type": "n8n-nodes-base.baserow", "typeVersion": 1, "position": [ 896, -1120 ], "credentials": { "baserowApi": { "name": "" } } }, { "parameters": { "fieldToSplitOut": "state.sessionId, state.scenes", "include": "allOtherFields", "options": {} }, "type": "n8n-nodes-base.splitOut", "typeVersion": 1, "position": [ 672, -1120 ], "id": "8dd52514-cbea-4baa-96ed-1e563a342328", "name": "Split Out" }, { "parameters": { "jsCode": "const sessionId = $input.first().json.session_id || $input.first().json.body?.sessionId;\n\nif (!sessionId) {\n throw new Error('sessionId \u00e9 obrigat\u00f3rio');\n}\n\nreturn { json: { sessionId } };" }, "id": "e10de33c-81bd-499c-86aa-6788501079b4", "name": "Prepare Session", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 1120, -1120 ] }, { "parameters": { "promptType": "define", "text": "=Voc\u00ea \u00e9 o GERADOR DE V\u00cdDEOS \u2013 respons\u00e1vel por iniciar a cria\u00e7\u00e3o de v\u00eddeos. \nSession ID: {{ $json.sessionId }}\n\n\ud83c\udfac Responsabilidade \n- Encontrar a pr\u00f3xima cena e iniciar sua gera\u00e7\u00e3o. \n- Se houver cenas j\u00e1 em processing, apenas encaminhe ao pr\u00f3ximo agente. \n\n\ud83d\udccb Fluxo \n1. Use **Tool checkProcessingScenes** : \n - Se a tool retornar uma cena com status \"processing\" \u2192 retorne imediatamente: \n {\n \"status\": \"processing_found\",\n \"rowId\": \"[ID]\",\n \"sessionId\": \"{{ $json.sessionId }}\",\n \"sceneIndex\": \"[scene_X]\",\n \"log\": \"Cena em processamento detectada \u2192 encaminhando\"\n } \n - Se a tool n\u00e3o retornar resultados \u2192 continue para o pr\u00f3ximo passo. \n\n2. Use **Tool checkPendingScenes2**: \n - Se a tool retornar uma cena \"pending\" \u2192 chame **generateVideo** e retorne: \n {\n \"status\": \"video_created\",\n \"rowId\": \"[ID]\",\n \"sessionId\": \"{{ $json.sessionId }}\",\n \"sceneIndex\": \"[scene_X]\",\n \"log\": \"V\u00eddeo iniciado para cena [X]\"\n } \n\n - Se a tool n\u00e3o retornar nenhuma cena pendente \u2192 retorne: \n {\n \"status\": \"all_videos_created\",\n \"rowId\": \"\",\n \"sessionId\": \"{{ $json.sessionId }}\",\n \"sceneIndex\": \"\",\n \"log\": \"Todas as cenas j\u00e1 foram iniciadas\"\n } \n\n\ud83d\udd27 Regras \n- Sempre use **a sa\u00edda real da tool**. Nunca invente valores. \n- Apenas uma chamada por tool por execu\u00e7\u00e3o. \n- Ignore \"done\" e \"error\". \n- Nunca tente processar ou baixar v\u00eddeos. \n- PARE ap\u00f3s retornar uma resposta. \n\n\ud83d\udccc IMPORTANTE: \n- Sempre inclua os 5 campos: \"status\", \"rowId\", \"sessionId\", \"sceneIndex\" e \"log\". \n- \"status\" deve ser um dos: video_created, processing_found, all_videos_created, error. \n- \"sceneIndex\" deve manter o formato \"scene_X\". \n- Se n\u00e3o houver cena correspondente \u2192 use vazio (\"\") em rowId e sceneIndex. \n- Use exatamente esta estrutura JSON, sem adicionar ou omitir campos. \n\n\ud83d\udccc FORMATO FINAL OBRIGAT\u00d3RIO: \n- Retorne apenas o JSON puro. \n- N\u00e3o use ```json ou qualquer bloco de c\u00f3digo. \n- N\u00e3o adicione texto antes ou depois. \n- Sempre inclua os 5 campos: \"status\", \"rowId\", \"sessionId\", \"sceneIndex\", \"log\". \n", "hasOutputParser": true, "options": { "systemMessage": "Voc\u00ea \u00e9 o INICIADOR de v\u00eddeos. Encontre cenas pendentes, inicie gera\u00e7\u00e3o, passe adiante.", "maxIterations": 10 } }, "id": "6336b01b-e47d-47bc-9344-b396418f91e2", "name": "Video Creator Agent", "type": "@n8n/n8n-nodes-langchain.agent", "typeVersion": 1.8, "position": [ -304, -832 ] }, { "parameters": { "promptType": "define", "text": "=# \ud83c\udfac PROCESSADOR DE V\u00cdDEOS\n**Respons\u00e1vel por completar v\u00eddeos iniciados e gerenciar progresso de cenas.**\n\n## \ud83d\udce5 DADOS DE ENTRADA\n```\nDados: {{ JSON.stringify($json, null, 2) }}\n```\n\n## \ud83d\udd10 PAR\u00c2METROS OBRIGAT\u00d3RIOS (getProcessedVideo)\n- **sessionId**: string (obrigat\u00f3rio)\n- **sceneIndex**: INTEIRO (extrair de \"scene_X\" \u2192 \"scene_1\" = 1)\n- **rowId**: INTEIRO\n\n---\n\n## \ud83d\udd04 FLUXO DE EXECU\u00c7\u00c3O (4 ETAPAS)\n\n### 1\ufe0f\u20e3 VALIDA\u00c7\u00c3O INICIAL\n```\n\u274c Se faltar sessionId:\n \u2192 Retorne: {\"status\":\"processing_error\",\"log\":\"sem sessionId\"}\n \u2192 V\u00c1 PARA ETAPA 4) checkAllDone\n\n\u26a0\ufe0f Se faltar rowId/sceneIndex:\n \u2192 Tente obter via checkPendingScenes3 (pr\u00f3xima n\u00e3o-done)\n \u2192 Extrair n\u00famero do sceneIndex\n```\n\n### 2\ufe0f\u20e3 EVENTOS IMEDIATOS (Gatilho para getProcessedVideo)\n```\n\u2705 TRIGGERS: status \u2208 {\"video_created\", \"processing_found\", \"processing\"}\n\nA\u00c7\u00c3O:\n\u2192 CHAME getProcessedVideo(sessionId, sceneIndex=n\u00famero, rowId=n\u00famero)\n\u2192 Se retornar cena DIFERENTE da solicitada = OK (a pedida j\u00e1 est\u00e1 done)\n```\n\n### 3\ufe0f\u20e3 STATUS DE CONTROLE (Finaliza\u00e7\u00e3o direta)\n```\n\ud83c\udfc1 BYPASS: status \u2208 {\"all_videos_created\", \"all_done\", \"finalize\", \"check_progress\"}\n\nA\u00c7\u00c3O:\n\u2192 N\u00c3O chame getProcessedVideo\n\u2192 Prossiga direto para ETAPA 4)\n```\n\n### 4\ufe0f\u20e3 CHECKALLDONE (\u26a0\ufe0f SEMPRE OBRIGAT\u00d3RIO)\n```\n\ud83d\udd0d CHAME SEMPRE: checkAllDone(sessionId)\n\nINTERPRETA\u00c7\u00c3O:\n\u2022 Resposta vazia OU igual a [{\"response\": \"[\\n {}\\n]\"}] \u2192 done == total\n\u2022 Caso normal: conte done vs total nas respostas\n```\n\n---\n\n## \ud83d\udcca DECIS\u00d5ES DE SA\u00cdDA\n\n### \ud83c\udfaf CASO 1: TUDO CONCLU\u00cdDO\n**Condi\u00e7\u00e3o:** `done == total`\n```json\n{\n \"status\": \"all_completed\",\n \"rowId\": \"{{ $json.rowId }}\",\n \"sessionId\": \"{{ $json.sessionId }}\",\n \"sceneIndex\": {{ Number(($json.sceneIndex||\"\").toString().match(/\\d+/)?.[0] || 0) }},\n \"hasNextScene\": false,\n \"log\": \"[done]/[total]\"\n}\n```\n\n### \ud83c\udfac CASO 2: CENA CONCLU\u00cdDA\n**Condi\u00e7\u00e3o:** `done < total` E houve conclus\u00e3o nesta execu\u00e7\u00e3o\n- getProcessedVideo indicou: done/completed/success\n- OU retornou cena diferente da pedida\n```json\n{\n \"status\": \"scene_completed\",\n \"rowId\": \"{{ $json.rowId }}\",\n \"sessionId\": \"{{ $json.sessionId }}\",\n \"sceneIndex\": {{ Number(($json.sceneIndex||\"\").toString().match(/\\d+/)?.[0] || 0) }},\n \"hasNextScene\": true,\n \"log\": \"[done]/[total]\"\n}\n```\n\n### \u23f3 CASO 3: AINDA PROCESSANDO\n**Condi\u00e7\u00e3o:** Status = processing/generating/in_progress OU desconhecido\n```json\n{\n \"status\": \"still_processing\",\n \"rowId\": \"{{ $json.rowId }}\",\n \"sessionId\": \"{{ $json.sessionId }}\",\n \"sceneIndex\": {{ Number(($json.sceneIndex||\"\").toString().match(/\\d+/)?.[0] || 0) }},\n \"log\": \"[done]/[total]\"\n}\n```\n> \u26a0\ufe0f **IMPORTANTE:** Em `still_processing` inclua `hasNextScene` = true\n\n---\n\n## \ud83d\udeab REGRAS CR\u00cdTICAS - NUNCA FA\u00c7A:\n- \u274c Retornar resposta vazia\n- \u274c Tratar cena diferente como erro\n- \u274c Usar `hasNextScene=false` quando `done < total`\n- \u274c Pular a ETAPA 4) checkAllDone\n\n---\n\n## \u2705 RESUMO OPERACIONAL\n\n### \ud83d\udd00 FLUXOS PRINCIPAIS:\n```\nFLUXO A: video_created/processing_found/processing\n\u2514\u2500\u25ba getProcessedVideo() \u25ba checkAllDone() \u25ba sa\u00edda\n\nFLUXO B: all_videos_created/all_done/finalize/check_progress \n\u2514\u2500\u25ba pular getProcessedVideo \u25ba checkAllDone() \u25ba sa\u00edda\n\nFLUXO C: qualquer outro caso\n\u2514\u2500\u25ba checkAllDone() \u25ba sa\u00edda\n```\n\n### \ud83c\udfaf ORDEM DE PRIORIDADE:\n1. **Valida\u00e7\u00e3o** (sessionId obrigat\u00f3rio)\n2. **Gatilhos** (chamar getProcessedVideo se aplic\u00e1vel)\n3. **Bypass** (pular getProcessedVideo se aplic\u00e1vel) \n4. **CheckAllDone** (SEMPRE executar)\n5. **Sa\u00edda** (baseada em done vs total)\n\n---\n\n## \ud83d\udccb EXEMPLO DE PROCESSAMENTO\n\n**Input com status \"processing\":**\n```json\n{\n \"success\": true,\n \"id\": 200,\n \"session_id\": \"video-de-superacao-1759003088098\",\n \"index\": \"scene_2\", \n \"status\": \"processing\"\n}\n```\n\n**A\u00e7\u00e3o:** \n1. \u2705 Validar sessionId\n2. \u2705 Status=\"processing\" \u2192 TRIGGER \u2192 chamar getProcessedVideo()\n3. \u2705 Executar checkAllDone()\n4. \u2705 Decidir sa\u00edda baseada em done/total", "hasOutputParser": true, "options": { "systemMessage": "You are a helpful assistant", "maxIterations": 5 } }, "id": "b35b7996-cf89-48c6-89d0-e8ab3423098e", "name": "Video Processor Agent", "type": "@n8n/n8n-nodes-langchain.agent", "typeVersion": 1.8, "position": [ 336, -832 ], "retryOnFail": true }, { "parameters": { "method": "POST", "url": "={{ $env.WEBHOOK_URL }}/webhook/creat-video", "sendBody": true, "specifyBody": "json", "jsonBody": "={\n \"rowId\": {{ $fromAI(\"rowId\", \"ID da linha no Baserow da cena pendente\") }}\n}", "options": {} }, "id": "8735a4fb-cbc8-4179-b9b6-9b7ecc81bf06", "name": "Tool generateVideo", "type": "n8n-nodes-base.httpRequestTool", "typeVersion": 4.2, "position": [ -224, -608 ] }, { "parameters": { "toolDescription": "Chama webhook para verificar/obter v\u00eddeo da cena atual. Use quando status for \u2018video_created\u2019 ou \u2018processing_found\u2019, ou quando uma cena estiver em \u2018processing\u2019/com \u2018create_url_video\u2019. Par\u00e2metros: sessionId (string), sceneIndex (int), rowId (int).", "method": "POST", "url": "={{ $env.WEBHOOK_URL }}/webhook/get-video", "sendBody": true, "specifyBody": "json", "jsonBody": "={\n \"sessionId\": \"{{ $fromAI(\"sessionId\", \"ID da sess\u00e3o\") }}\",\n \"sceneIndex\": {{ $fromAI(\"sceneIndex\", \"\u00cdndice num\u00e9rico da cena (ex: 1, 2, 3)\") }},\n \"rowId\": {{ $fromAI(\"rowId\", \"ID da linha no Baserow\") }}\n}", "options": {}, "optimizeResponse": true }, "id": "8e2d2533-a18c-4896-8e83-28f5a259a693", "name": "Tool getProcessedVideo", "type": "n8n-nodes-base.httpRequestTool", "typeVersion": 4.2, "position": [ 416, -608 ] }, { "parameters": { "options": { "temperature": 0.1 } }, "id": "f1f4be8f-fa67-4697-9213-4b02de90817b", "name": "Gemini Creator Model", "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini", "typeVersion": 1, "position": [ -480, -608 ], "credentials": { "googlePalmApi": { "name": "" } } }, { "parameters": { "options": { "temperature": 0.1 } }, "id": "159a2903-70bf-4464-951e-8a55de508a4c", "name": "Gemini Processor Model", "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini", "typeVersion": 1, "position": [ 160, -608 ], "credentials": { "googlePalmApi": { "name": "" } } }, { "parameters": { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 1 }, "conditions": [ { "id": "has-next-scene", "leftValue": "={{ $json.hasNextScene }}", "rightValue": true, "operator": { "type": "boolean", "operation": "equals" } } ], "combinator": "and" }, "options": {} }, "type": "n8n-nodes-base.if", "typeVersion": 2, "position": [ 1104, -832 ], "id": "b5f7ddf3-e754-4568-bcee-20379fbe551e", "name": "Continue Processing?" }, { "parameters": { "jsCode": "const currentData = $input.first().json;\n\n// Se still_processing, mant\u00e9m os mesmos dados para retry\nif (currentData.status === 'still_processing') {\n return {\n json: {\n ...currentData,\n iteration: (currentData.iteration || 0) + 1,\n log: `Retry ${(currentData.iteration || 0) + 1}: Aguardando v\u00eddeo ${currentData.sceneIndex}`\n }\n };\n}\n\n// Se scene_completed, prepara pr\u00f3xima busca\nif ( currentData.hasNextScene) {\n return {\n json: {\n sessionId: currentData.sessionId,\n iteration: (currentData.iteration || 0) + 1,\n lastProcessed: currentData.rowId,\n lastSceneIndex: currentData.sceneIndex,\n log: `Itera\u00e7\u00e3o ${(currentData.iteration || 0) + 1}: Buscando pr\u00f3xima cena`\n }\n };\n}" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 1328, -832 ], "id": "0cfce723-3cb6-40d1-acee-defb1059e703", "name": "Prepare Next Iteration" }, { "parameters": {}, "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow", "typeVersion": 1.3, "position": [ -352, -608 ], "id": "604f1800-0e85-43ce-aba4-860dadd7ef4a", "name": "Creator Memory" }, { "parameters": { "contextWindowLength": 10 }, "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow", "typeVersion": 1.3, "position": [ 288, -608 ], "id": "da81697b-1877-48c5-a564-cab7690a33ba", "name": "Processor Memory" }, { "parameters": { "toolDescription": "Busca pr\u00f3xima cena PENDENTE para gerar v\u00eddeo. Retorna apenas cenas com status 'pending'.", "url": "https://api.baserow.io/api/database/rows/table/680992/?user_field_names=true&size=5&filter__session_id__equal={sessionId}&filter__status__equal=pending&order_by=index&exclude=frame_base64", "sendHeaders": true, "parametersHeaders": { "values": [ { "name": "Authorization", "valueProvider": "fieldValue", "value": "=Token your-token-here" } ] }, "placeholderDefinitions": { "values": [ { "name": "sessionId", "description": "ID da sess\u00e3o para filtrar cenas pendentes", "type": "string" } ] }, "optimizeResponse": true }, "type": "@n8n/n8n-nodes-langchain.toolHttpRequest", "typeVersion": 1.1, "position": [ -96, -608 ], "id": "720b9ee8-9a21-48e6-a57c-82f6e9fc354a", "name": "Tool checkPendingScenes2" }, { "parameters": { "toolDescription": "Busca cenas em PROCESSAMENTO que precisam ser verificadas/finalizadas.", "url": "https://api.baserow.io/api/database/rows/table/680992/?user_field_names=true&size=5&filter__session_id__equal={sessionId}&filter__status__equal=processing&order_by=index&exclude=frame_base64", "sendHeaders": true, "parametersHeaders": { "values": [ { "name": "Authorization", "valueProvider": "fieldValue", "value": "=Token your-token-here" } ] }, "placeholderDefinitions": { "values": [ { "name": "sessionId", "description": "ID da sess\u00e3o para filtrar cenas pendentes", "type": "string" } ] }, "optimizeResponse": true }, "type": "@n8n/n8n-nodes-langchain.toolHttpRequest", "typeVersion": 1.1, "position": [ 32, -608 ], "id": "05fd6e34-989d-4407-a4a3-2fbbb9c057bd", "name": "Tool checkProcessingScenes" }, { "parameters": { "jsCode": "let raw = $json.output || $json.text || JSON.stringify($json);\n\n// Remove blocos de markdown e espa\u00e7os extras\nraw = raw.replace(/```json|```/gi, \"\").trim();\n\n// Tenta detectar JSON dentro de texto maior\nconst match = raw.match(/\\{[\\s\\S]*\\}/);\nif (match) {\n raw = match[0]; // pega s\u00f3 o trecho entre { }\n}\n\nlet parsed;\ntry {\n parsed = JSON.parse(raw);\n} catch (e) {\n parsed = {\n status: \"error\",\n rowId: \"\",\n sessionId: $json.sessionId || \"\",\n sceneIndex: \"\",\n log: \"Falha ao parsear JSON: \" + e.message\n };\n}\n\nreturn parsed;\n" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 80, -832 ], "id": "7341e0d5-0a60-4586-87c6-f30f97bc618b", "name": "Parse data" }, { "parameters": { "jsCode": "// Helpers\nconst toNumber = (v) => {\n const m = (v ?? \"\").toString().match(/\\d+/);\n return m ? Number(m[0]) : 0;\n};\nconst clean = (s) =>\n String(s).replace(/```json|```/gi, \"\").replace(/\\b(False|True|None)\\b/g, (x) =>\n x === \"False\" ? \"false\" : x === \"True\" ? \"true\" : \"null\"\n );\nconst tryParse = (v) => {\n if (v == null) return null;\n if (typeof v === \"object\") return v;\n const s = clean(v).trim();\n try { return JSON.parse(s); } catch {}\n const mArr = s.match(/\\[[\\s\\S]*\\]/);\n const mObj = s.match(/\\{[\\s\\S]*\\}/);\n const pick = mArr?.[0] ?? mObj?.[0] ?? null;\n if (!pick) return null;\n try { return JSON.parse(pick); } catch {}\n return null;\n};\n\nlet raw = $json.output ?? $json.text ?? $json;\nlet parsed = tryParse(raw);\n\nif (!parsed) {\n parsed = {\n status: \"processing_error\",\n rowId: $json.rowId || \"\",\n sessionId: $json.sessionId || \"\",\n sceneIndex: toNumber($json.sceneIndex),\n log: \"Falha ao parsear output do agente\",\n };\n}\n\n// normaliza tipos\nif (parsed.sceneIndex !== undefined) parsed.sceneIndex = toNumber(parsed.sceneIndex);\nif (typeof parsed.rowId === \"string\") parsed.rowId = toNumber(parsed.rowId);\n\n// log\nconsole.log(\"PARSED Status:\", parsed.status);\nconsole.log(\"PARSED HasNextScene:\", parsed.hasNextScene);\nconsole.log(\"PARSED HasNextScene Type:\", typeof parsed.hasNextScene);\n\nreturn [{ json: parsed }];\n" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 688, -832 ], "id": "e96160a8-189f-402c-a7d5-83c38898aca6", "name": "Parse data processor" }, { "parameters": { "toolDescription": "Busca pr\u00f3xima cena PENDENTE para gerar v\u00eddeo. Retorna apenas cenas com status 'pending'.", "url": "https://api.baserow.io/api/database/rows/table/680992/?user_field_names=true&size=5&filter__session_id__equal={sessionId}&filter__status__equal=pending&order_by=index&exclude=frame_base64", "sendHeaders": true, "parametersHeaders": { "values": [ { "name": "Authorization", "valueProvider": "fieldValue", "value": "=Token your-token-here" } ] }, "placeholderDefinitions": { "values": [ { "name": "sessionId", "description": "ID da sess\u00e3o para filtrar cenas pendentes", "type": "string" } ] }, "optimizeResponse": true }, "type": "@n8n/n8n-nodes-langchain.toolHttpRequest", "typeVersion": 1.1, "position": [ 544, -608 ], "id": "60897b75-9b24-47cc-80dd-89e3e2383a9a", "name": "Tool checkPendingScenes3" }, { "parameters": { "promptType": "define", "text": "=Analise a descri\u00e7\u00e3o e extraia todos os par\u00e2metros necess\u00e1rios em um JSON completo:\n\n{\n \"g_style\": \"visual style/genre\",\n \"g_mood\": \"overall mood/atmosphere\",\n \"g_lighting\": \"lighting conditions\",\n \"g_color_palette\": \"dominant color palette\",\n \"g_voice_prompt\": \"desired voice style and tone\",\n \"g_negative_prompt\": \"visual elements to avoid\",\n \"g_negative_audio_prompt\": \"undesired sounds\",\n \"g_numero_videos\": 3,\n \"camera_movement\": \"slow pan/zoom/static\",\n \"motion_intensity\": \"low/medium/high\",\n \"title\": \"t\u00edtulo do projeto\",\n \"negative_voice_prompt\": \"elementos vocais indesejados\"\n}\n\nDescri\u00e7\u00e3o: {{ $('Prompt Input').item.json.chatInput }}\n\n\u26a0\ufe0f REGRAS:\n- Responda com JSON v\u00e1lido apenas\n- Use infer\u00eancia criativa para preencher campos ausentes\n- Mantenha coes\u00e3o est\u00e9tica, emocional e vocal\n- Portugu\u00eas brasileiro obrigat\u00f3rio", "hasOutputParser": true, "batching": {} }, "id": "c5619cd0-f505-480b-9bbb-fcab2f59b54f", "name": "Extrai Par\u00e2metros", "type": "@n8n/n8n-nodes-langchain.chainLlm", "position": [ 192, -1456 ], "typeVersion": 1.7, "executeOnce": false }, { "parameters": { "jsCode": "// Pega o conte\u00fado do primeiro item\nlet raw = $input.first().json.text || \"\";\n\n// Remove blocos de markdown\nraw = raw.replace(/```json|```/gi, \"\").trim();\n\n// Faz parse do JSON contido\nlet input;\ntry {\n input = JSON.parse(raw);\n} catch (e) {\n input = {};\n}\n\n// Define t\u00edtulo\nlet titulo = input.title || \"video-projeto\";\n\n// Sanitiza\u00e7\u00e3o para slug\ntitulo = titulo.toLowerCase()\n .normalize(\"NFD\")\n .replace(/[\\u0300-\\u036f]/g, \"\")\n .replace(/[^a-z0-9\\s-]/g, \"\")\n .trim();\n\n// Limita a no m\u00e1ximo 3 palavras\nlet palavras = titulo.split(/\\s+/).slice(0, 3);\ntitulo = palavras.join(\"-\")\n .replace(/-+/g, \"-\")\n .replace(/^-+|-+$/g, \"\");\n\n// Adiciona timestamp para unicidade\nconst timestamp = Date.now();\nconst slug = `${titulo}-${timestamp}`;\n\n// Retorno consolidado\nreturn [\n {\n json: {\n ...input,\n slug,\n sessionId: slug,\n timestamp\n }\n }\n];\n" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 544, -1456 ], "id": "5b05127f-7ec2-4b46-8646-4fa040e4cb32", "name": "Processa + Slug", "onError": "continueRegularOutput" }, { "parameters": { "command": "=mkdir -p /tmp/videos/{{ $json.slug }}" }, "type": "n8n-nodes-base.executeCommand", "typeVersion": 1, "position": [ 768, -1456 ], "id": "98c4181d-0735-460b-b96a-56ce739126ea", "name": "Cria Diret\u00f3rio", "onError": "continueRegularOutput" }, { "parameters": { "options": { "maxOutputTokens": 4096, "temperature": 0.4, "topK": 32, "topP": 1, "safetySettings": { "values": [ { "category": "HARM_CATEGORY_HARASSMENT", "threshold": "BLOCK_NONE" }, { "category": "HARM_CATEGORY_HATE_SPEECH", "threshold": "BLOCK_NONE" }, { "category": "HARM_CATEGORY_SEXUALLY_EXPLICIT", "threshold": "BLOCK_NONE" }, { "category": "HARM_CATEGORY_DANGEROUS_CONTENT", "threshold": "BLOCK_NONE" } ] } } }, "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini", "position": [ 192, -1280 ], "name": "Gemini Unified", "id": "3c912846-3ba8-4969-b2d9-b8b33ba38ee4", "typeVersion": 1, "credentials": { "googlePalmApi": { "name": "" } } }, { "parameters": { "promptType": "define", "text": "=Crie roteiro {{ $('Processa + Slug').item.json.g_numero_videos }} cenas 8s. RETORNE APENAS JSON V\u00c1LIDO COMPLETO.\n\n\u26a0\ufe0f TAMANHO M\u00c1XIMO POR CAMPO (CR\u00cdTICO):\n{{ $('Processa + Slug').item.json.g_numero_videos <= 3 ? '\u2022 prompt: 280-320 chars\\n\u2022 video_prompt: 150-180 chars\\n\u2022 audio_cues: 100-120 chars' : $('Processa + Slug').item.json.g_numero_videos <= 6 ? '\u2022 prompt: 200-250 chars\\n\u2022 video_prompt: 100-130 chars\\n\u2022 audio_cues: 80-100 chars' : '\u2022 prompt: 150-180 chars\\n\u2022 video_prompt: 80-100 chars\\n\u2022 audio_cues: 60-80 chars' }}\n\n\ud83d\udccb TEMPLATE OBRIGAT\u00d3RIO:\n{\n \"title\": \"{{ $('Processa + Slug').item.json.title }}\",\n \"metadata\": {\n \"slug\": \"{{ $('Processa + Slug').item.json.slug }}\",\n \"sessionId\": \"{{ $('Processa + Slug').item.json.sessionId }}\",\n \"total_scenes\": {{ $('Processa + Slug').item.json.g_numero_videos }},\n \"timestamp\": {{ $('Processa + Slug').item.json.timestamp }}\n },\n \"visual_guide\": {\n \"style\": \"{{ $('Processa + Slug').item.json.g_style }}\",\n \"lighting\": \"{{ $('Processa + Slug').item.json.g_lighting }}\"\n },\n \"scenes\": [\n {\n \"id\": \"scene_1\",\n \"duration\": \"8s\",\n \"prompt\": \"[M\u00c1XIMO {{ $('Processa + Slug').item.json.g_numero_videos <= 3 ? '320' : $('Processa + Slug').item.json.g_numero_videos <= 6 ? '250' : '180' }} CHARS]\",\n \"video_prompt\": \"[MOVIMENTO ESPEC\u00cdFICO. M\u00c1XIMO {{ $('Processa + Slug').item.json.g_numero_videos <= 3 ? '180' : $('Processa + Slug').item.json.g_numero_videos <= 6 ? '130' : '100' }} CHARS]\",\n \"audio_cues\": \"[NARRA\u00c7\u00c3O. M\u00c1XIMO {{ $('Processa + Slug').item.json.g_numero_videos <= 3 ? '120' : $('Processa + Slug').item.json.g_numero_videos <= 6 ? '100' : '80' }} CHARS]\"\n }\n ]\n}\n\n\ud83d\udea8 REGRAS ABSOLUTAS:\n1. COMPLETE O JSON - se necess\u00e1rio, corte textos mas NUNCA deixe JSON incompleto\n2. N\u00c3O REPITA informa\u00e7\u00f5es entre campos (sem duplica\u00e7\u00e3o)\n3. FOQUE EM MOVIMENTO no video_prompt (Veo usa frame anterior como base)\n4. PORTUGU\u00caS BRASILEIRO em audio_cues\n5. SE APROXIMANDO DO LIMITE: termine a cena atual e feche o JSON\n\n\ud83c\udfaf PRIORIDADES DE CORTE (se necess\u00e1rio):\n1\u00b0 Remova adjetivos e adv\u00e9rbios desnecess\u00e1rios\n2\u00b0 Simplifique descri\u00e7\u00f5es visuais (Veo j\u00e1 tem refer\u00eancia)\n3\u00b0 Reduza narra\u00e7\u00e3o ao essencial\n4\u00b0 Use abrevia\u00e7\u00f5es: \"mov.\" por \"movimento\", \"prog.\" por \"progress\u00e3o\"\n\n\u2705 EXEMPLO CENA OTIMIZADA:\n{\n \"id\": \"scene_1\",\n \"duration\": \"8s\",\n \"prompt\": \"Pessoa sentada, cabe\u00e7a baixa, ambiente escuro. Luz fraca, sombras profundas. Movimento lento levanta cabe\u00e7a, olha janela.\",\n \"video_prompt\": \"Pessoa levanta cabe\u00e7a lentamente, olha para janela. Mov. suave.\",\n \"audio_cues\": \"Narrador: \u00c0s vezes a esperan\u00e7a surge quando menos esperamos.\"\n}\n\n\u26d4 NUNCA:\n- Deixe JSON incompleto\n- Use mais caracteres que o limite\n- Duplique informa\u00e7\u00f5es\n- Adicione campos extras n\u00e3o solicitados\n- Escreva fora do JSON\n- altere o session_id ou slug eles s\u00e3o unique keys\n\nT\u00cdTULO: {{ $('Processa + Slug').item.json.title }}\nCENAS: {{ $('Processa + Slug').item.json.g_numero_videos }}\nVOZ: {{ $('Processa + Slug').item.json.g_voice_prompt }}\n\nRETORNE APENAS O JSON!", "hasOutputParser": true, "batching": {} }, "id": "8cf37d29-8763-4604-9f26-0d156c4ed0d9", "name": "Roteiro \u2192 JSON Final", "type": "@n8n/n8n-nodes-langchain.chainLlm", "position": [ 976, -1456 ], "typeVersion": 1.7, "executeOnce": false }, { "parameters": { "options": { "maxOutputTokens": 4096, "temperature": 0.4, "topK": 32, "topP": 1, "safetySettings": { "values": [ { "category": "HARM_CATEGORY_HARASSMENT", "threshold": "BLOCK_NONE" }, { "category": "HARM_CATEGORY_HATE_SPEECH", "threshold": "BLOCK_NONE" }, { "category": "HARM_CATEGORY_SEXUALLY_EXPLICIT", "threshold": "BLOCK_NONE" }, { "category": "HARM_CATEGORY_DANGEROUS_CONTENT", "threshold": "BLOCK_NONE" } ] } } }, "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini", "position": [ 976, -1280 ], "name": "Gemini Unified1", "id": "beb48646-5060-482a-aca0-1b31a93c32c4", "typeVersion": 1, "credentials": { "googlePalmApi": { "name": "" } } }, { "parameters": { "command": "=ffmpeg -y \\\n $(ls /tmp/videos/{{ $json.sessionId }}/scene_*.mp4 2>/dev/null | sort -V | sed 's/^/-i /') \\\n -filter_complex \"$(ls /tmp/videos/{{ $json.sessionId }}/scene_*.mp4 2>/dev/null | sort -V | \\\n awk '{printf \"[%d:v][%d:a]\", NR-1, NR-1} END {printf \"concat=n=\" NR \":v=1:a=1[v][a]\"}')\" \\\n -map \"[v]\" -map \"[a]\" \\\n -c:v libx264 -preset fast -crf 23 \\\n -c:a aac -b:a 192k -ar 48000 -ac 2 \\\n -pix_fmt yuv420p -movflags +faststart \\\n /tmp/videos/{{ $json.sessionId }}/final_video.mp4\n" }, "type": "n8n-nodes-base.executeCommand", "typeVersion": 1, "position": [ 1088, -608 ], "id": "9910ebfe-8f35-4040-be43-957063447de7", "name": "Execute Command1" }, { "parameters": { "toolDescription": "Busca se todos os items de um sessionId est\u00e3o done", "url": "https://api.baserow.io/api/database/rows/table/680992/?user_field_names=true&filter__session_id__equal={sessionId}&exclude=frame_base64&include=id,session_id,index,status&order_by=index&size=200", "sendHeaders": true, "parametersHeaders": { "values": [ { "name": "Authorization", "valueProvider": "fieldValue", "value": "=Token your-token-here" } ] }, "placeholderDefinitions": { "values": [ { "name": "sessionId", "description": "ID da sess\u00e3o para filtrar cenas pendentes", "type": "string" } ] } }, "type": "@n8n/n8n-nodes-langchain.toolHttpRequest", "typeVersion": 1.1, "position": [ 688, -608 ], "id": "6e7690e5-2dc4-4c72-938b-7ef413eff49f", "name": "Tool checkAllDone" }, { "parameters": { "jsCode": "const input = $input.first().json;\n\n// aceita objeto j\u00e1 parseado; n\u00e3o cheque \"output\"\nif (!input.status) {\n return [{\n json: {\n status: \"processing_error\",\n rowId: input.rowId || \"\",\n sessionId: input.sessionId || \"\",\n sceneIndex: input.sceneIndex ?? 0,\n hasNextScene: true, // mant\u00e9m o loop\n log: \"Agente sem status \u2014 assumindo trabalho pendente\"\n }\n }];\n}\n\nreturn [$input.first()];\n" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 880, -832 ], "id": "7e2df20f-a169-46c2-bb32-e1b72178446a", "name": "Fix Empty Output" } ], "connections": { "Prepare Scenes with Continuity": { "main": [ [ { "node": "Initialize Agent State", "type": "main", "index": 0 } ] ] }, "Convert to Binary Output": { "main": [ [ { "node": "Send Final Video", "type": "main", "index": 0 } ] ] }, "Get Config1": { "main": [ [ { "node": "Extrai Par\u00e2metros", "type": "main", "index": 0 } ] ] }, "Remove caracteres especiais": { "main": [ [ { "node": "Generate First Scene Image", "type": "main", "index": 0 } ] ] }, "Generate First Scene Image": { "main": [ [ { "node": "Prepare Scenes with Continuity", "type": "main", "index": 0 }, { "node": "Convert Generated Image", "type": "main", "index": 0 } ] ] }, "Prompt Input": { "main": [ [ { "node": "Get Config1", "type": "main", "index": 0 } ] ] }, "Initialize Agent State": { "main": [ [ { "node": "Split Out", "type": "main", "index": 0 } ] ] }, "Split Out": { "main": [ [ { "node": "Baserow", "type": "main", "index": 0 } ] ] }, "Baserow": { "main": [ [ { "node": "Prepare Session", "type": "main", "index": 0 } ] ] }, "Prepare Session": { "main": [ [ { "node": "Video Creator Agent", "type": "main", "index": 0 } ] ] }, "Video Creator Agent": { "main": [ [ { "node": "Parse data", "type": "main", "index": 0 } ] ] }, "Video Processor Agent": { "main": [ [ { "node": "Parse data processor", "type": "main", "index": 0 } ] ] }, "Continue Processing?": { "main": [ [ { "node": "Prepare Next Iteration", "type": "main", "index": 0 } ], [ { "node": "Execute Command1", "type": "main", "index": 0 } ] ] }, "Prepare Next Iteration": { "main": [ [ { "node": "Video Creator Agent", "type": "main", "index": 0 } ] ] }, "Tool generateVideo": { "ai_tool": [ [ { "node": "Video Creator Agent", "type": "ai_tool", "index": 0 } ] ] }, "Tool getProcessedVideo": { "ai_tool": [ [ { "node": "Video Processor Agent", "type": "ai_tool", "index": 0 } ] ] }, "Gemini Creator Model": { "ai_languageModel": [ [ { "node": "Video Creator Agent", "type": "ai_languageModel", "index": 0 } ] ] }, "Gemini Processor Model": { "ai_languageModel": [ [ { "node": "Video Processor Agent", "type": "ai_languageModel", "index": 0 } ] ] }, "Creator Memory": { "ai_memory": [ [ { "node": "Video Creator Agent", "type": "ai_memory", "index": 0 } ] ] }, "Processor Memory": { "ai_memory": [ [ { "node": "Video Processor Agent", "type": "ai_memory", "index": 0 } ] ] }, "Tool checkPendingScenes2": { "ai_tool": [ [ { "node": "Video Creator Agent", "type": "ai_tool", "index": 0 } ] ] }, "Tool checkProcessingScenes": { "ai_tool": [ [ { "node": "Video Creator Agent", "type": "ai_tool", "index": 0 } ] ] }, "Parse data": { "main": [ [ { "node": "Video Processor Agent", "type": "main", "index": 0 } ] ] }, "Parse data processor": { "main": [ [ { "node": "Fix Empty Output", "type": "main", "index": 0 } ] ] }, "Tool checkPendingScenes3": { "ai_tool": [ [ { "node": "Video Processor Agent", "type": "ai_tool", "index": 0 } ] ] }, "Extrai Par\u00e2metros": { "main": [ [ { "node": "Processa + Slug", "type": "main", "index": 0 } ] ] }, "Processa + Slug": { "main": [ [ { "node": "Cria Diret\u00f3rio", "type": "main", "index": 0 } ] ] }, "Cria Diret\u00f3rio": { "main": [ [ { "node": "Roteiro \u2192 JSON Final", "type": "main", "index": 0 } ] ] }, "Gemini Unified": { "ai_languageModel": [ [ { "node": "Extrai Par\u00e2metros", "type": "ai_languageModel", "index": 0 } ] ] }, "Gemini Unified1": { "ai_languageModel": [ [ { "node": "Roteiro \u2192 JSON Final", "type": "ai_languageModel", "index": 0 } ] ] }, "Roteiro \u2192 JSON Final": { "main": [ [ { "node": "Remove caracteres especiais", "type": "main", "index": 0 } ] ] }, "Execute Command1": { "main": [ [ { "node": "Convert to Binary Output", "type": "main", "index": 0 } ] ] }, "Tool checkAllDone": { "ai_tool": [ [ { "node": "Video Processor Agent", "type": "ai_tool", "index": 0 } ] ] }, "Fix Empty Output": { "main": [ [ { "node": "Continue Processing?", "type": "main", "index": 0 } ] ] } }, "active": false, "settings": { "executionOrder": "v1" }, "versionId": "0e52a357-ab8b-4c3c-b37e-ca0499a7acbe", "meta": { "templateCredsSetupCompleted": true }, "id": "YvnBcPchRSgrydfy", "tags": [] }