export declare const WORKFLOW_PATTERNS_DETAILED = "<linear_chain>\n```javascript\nimport { workflow, node, trigger, sticky, placeholder, newCredential, ifElse, switchCase, merge, splitInBatches, nextBatch, languageModel, memory, tool, outputParser, embedding, embeddings, vectorStore, retriever, documentLoader, textSplitter, reranker, fromAi, expr } from '@n8n/workflow-sdk';\n\n// 1. Define all nodes first\nconst startTrigger = trigger({\n  type: 'n8n-nodes-base.manualTrigger',\n  version: 1,\n  config: { name: 'Start', position: [240, 300] },\n  output: [{}]\n});\n\nconst fetchData = node({\n  type: 'n8n-nodes-base.httpRequest',\n  version: 4.3,\n  config: { name: 'Fetch Data', parameters: { method: 'GET', url: '...' }, position: [540, 300] },\n  output: [{ id: 1, title: 'Item 1' }]\n});\n\nconst processData = node({\n  type: 'n8n-nodes-base.set',\n  version: 3.4,\n  config: { name: 'Process Data', parameters: {}, position: [840, 300] },\n  output: [{ id: 1, title: 'Item 1', processed: true }]\n});\n\n// 2. Compose workflow\nexport default workflow('id', 'name')\n  .add(startTrigger)\n  .to(fetchData)\n  .to(processData);\n```\n\n</linear_chain>\n\n<independent_sources>\nWhen nodes return more than 1 item, chaining causes item multiplication: if Source A returns N items, a chained Source B runs N times instead of once.\n\nFix with `executeOnce: true` (simplest) or parallel branches + Merge (when combining results):\n\n```javascript\n// sourceA outputs 10 items. sourceB outputs 10 items.\n// sourceB runs once per item from sourceA.\n// WRONG - processResults runs 100 times\n// startTrigger.to(sourceA.to(sourceB.to(processResults)))\n\n// FIX 1 - executeOnce: sourceB runs once regardless of input items\nconst sourceB = node({ ..., config: { ..., executeOnce: true } });\nstartTrigger.to(sourceA.to(sourceB.to(processResults)));\n\n// FIX 2 - parallel branches + Merge (combine by position)\n// Pairs items by index, merging fields from both inputs into one item.\n// @example input0: [{ a: 1 }, { a: 2 }] input1: [{ b: 10, c: 'x' }, { b: 20 }]\n//   output: [{ a: 1, b: 10, c: 'x' }, { a: 2, b: 20, c: undefined }]\n// .input(n) is 0-based: .input(0) = first input, .input(1) = second input.\nconst combineResults = merge({\n  version: 3.2,\n  config: { name: 'Combine Results', parameters: { mode: 'combine', combineBy: 'combineByPosition' } }\n});\nexport default workflow('id', 'name')\n  .add(startTrigger)\n  .to(sourceA.to(combineResults.input(0))) // first input (index 0)\n  .add(startTrigger)\n  .to(sourceB.to(combineResults.input(1))) // second input (index 1)\n  .add(combineResults)\n  .to(processResults);\n\n// FIX 3 - parallel branches + Merge (append)\n// Concatenates all items from all inputs into one list sequentially.\n// @example input0: [{ a: 1 }, { a: 2 }] input1: [{ b: 10 }]\n//   output: [{ a: 1 }, { a: 2 }, { b: 10 }]\nconst allResults = merge({\n  version: 3.2,\n  config: { name: 'All Results', parameters: { mode: 'append' } }\n});\nexport default workflow('id', 'name')\n  .add(startTrigger)\n  .to(sourceA.to(allResults.input(0))) // first input (index 0)\n  .add(startTrigger)\n  .to(sourceB.to(allResults.input(1))) // second input (index 1)\n  .add(allResults)\n  .to(processResults);\n```\n\n</independent_sources>\n\n<conditional_branching>\n\n**CRITICAL:** Each branch defines a COMPLETE processing path. Chain multiple steps INSIDE the branch using .to().\n\n```javascript\n// Assume other nodes are declared\nconst checkValid = ifElse({ version: 2.2, config: { name: 'Check Valid', parameters: {...} } });\n\nexport default workflow('id', 'name')\n  .add(startTrigger)\n  .to(checkValid\n    .onTrue(formatData.to(enrichData.to(saveToDb)))  // Chain 3 nodes on true branch\n    .onFalse(logError));\n```\n\n</conditional_branching>\n\n<multi_way_routing>\n\n```javascript\n// Assume other nodes are declared\nconst routeByPriority = switchCase({ version: 3.2, config: { name: 'Route by Priority', parameters: {...} } });\n\nexport default workflow('id', 'name')\n  .add(startTrigger)\n  .to(routeByPriority\n    .onCase(0, processUrgent.to(notifyTeam.to(escalate)))  // Chain of 3 nodes\n    .onCase(1, processNormal)\n    .onCase(2, archive));\n```\n\n</multi_way_routing>\n\n<parallel_execution>\n```javascript\nconst combineResults = merge({\n  version: 3.2,\n  config: {\n    name: 'Combine Results',\n    parameters: { mode: 'combine' },\n    position: [840, 300]\n  }\n});\n\nconst branch1 = node({ type: 'n8n-nodes-base.httpRequest', ... });\nconst branch2 = node({ type: 'n8n-nodes-base.httpRequest', ... });\nconst processResults = node({ type: 'n8n-nodes-base.set', ... });\n\n// Connect branches to specific merge inputs using .input(n).\n// Indices are 0-based: .input(0) is the FIRST input, .input(1) is the SECOND.\nexport default workflow('id', 'name')\n  .add(trigger({ ... }))\n  .to(branch1.to(combineResults.input(0)))  // first input (index 0)\n  .add(trigger({ ... }))\n  .to(branch2.to(combineResults.input(1)))  // second input (index 1)\n  .add(combineResults)\n  .to(processResults);\n```\n\n</parallel_execution>\n\n<batch_processing>\n```javascript\nconst startTrigger = trigger({\n  type: 'n8n-nodes-base.manualTrigger', version: 1,\n  config: { name: 'Start', position: [240, 300] },\n  output: [{}]\n});\n\nconst fetchRecords = node({\n  type: 'n8n-nodes-base.httpRequest', version: 4.3,\n  config: { name: 'Fetch Records', parameters: { method: 'GET', url: '...' }, position: [540, 300] },\n  output: [{ id: 1 }, { id: 2 }, { id: 3 }]\n});\n\nconst finalizeResults = node({\n  type: 'n8n-nodes-base.set', version: 3.4,\n  config: { name: 'Finalize', parameters: {}, position: [1140, 200] },\n  output: [{ summary: 'Processed 3 records' }]\n});\n\nconst processRecord = node({\n  type: 'n8n-nodes-base.httpRequest', version: 4.3,\n  config: { name: 'Process Record', parameters: { method: 'POST', url: '...' }, position: [1140, 400] },\n  output: [{ id: 1, status: 'processed' }]\n});\n\nconst sibNode = splitInBatches({ version: 3, config: { name: 'Batch Process', parameters: { batchSize: 10 }, position: [840, 300] } });\n\nexport default workflow('id', 'name')\n  .add(startTrigger)\n  .to(fetchRecords)\n  .to(sibNode\n    .onDone(finalizeResults)\n    .onEachBatch(processRecord.to(nextBatch(sibNode)))\n  );\n```\n\n</batch_processing>\n\n<multiple_triggers>\n```javascript\nconst webhookTrigger = trigger({\n  type: 'n8n-nodes-base.webhook', version: 2.1,\n  config: { name: 'Webhook', position: [240, 200] },\n  output: [{ body: { data: 'webhook payload' } }]\n});\n\nconst processWebhook = node({\n  type: 'n8n-nodes-base.set', version: 3.4,\n  config: { name: 'Process Webhook', parameters: {}, position: [540, 200] },\n  output: [{ data: 'webhook payload', processed: true }]\n});\n\nconst scheduleTrigger = trigger({\n  type: 'n8n-nodes-base.scheduleTrigger', version: 1.3,\n  config: { name: 'Daily Schedule', parameters: {}, position: [240, 500] },\n  output: [{}]\n});\n\nconst processSchedule = node({\n  type: 'n8n-nodes-base.set', version: 3.4,\n  config: { name: 'Process Schedule', parameters: {}, position: [540, 500] },\n  output: [{ scheduled: true }]\n});\n\nexport default workflow('id', 'name')\n  .add(webhookTrigger)\n  .to(processWebhook)\n  .add(scheduleTrigger)\n  .to(processSchedule);\n```\n\n</multiple_triggers>\n\n<fan_in>\n```javascript\n// Each trigger's execution runs in COMPLETE ISOLATION.\n// Different branches have no effect on each other.\n// Never duplicate chains for \"isolation\" - it's already guaranteed.\n\nconst webhookTrigger = trigger({\n  type: 'n8n-nodes-base.webhook', version: 2.1,\n  config: { name: 'Webhook Trigger', position: [240, 200] },\n  output: [{ source: 'webhook' }]\n});\n\nconst scheduleTrigger = trigger({\n  type: 'n8n-nodes-base.scheduleTrigger', version: 1.3,\n  config: { name: 'Daily Schedule', position: [240, 500] },\n  output: [{ source: 'schedule' }]\n});\n\nconst processData = node({\n  type: 'n8n-nodes-base.set', version: 3.4,\n  config: { name: 'Process Data', parameters: {}, position: [540, 350] },\n  output: [{ processed: true }]\n});\n\nconst sendNotification = node({\n  type: 'n8n-nodes-base.slack', version: 2.3,\n  config: { name: 'Notify Slack', parameters: {}, position: [840, 350] },\n  output: [{ ok: true }]\n});\n\nexport default workflow('id', 'name')\n  .add(webhookTrigger)\n  .to(processData)\n  .to(sendNotification)\n  .add(scheduleTrigger)\n  .to(processData);\n```\n\n</fan_in>\n\n<ai_agent_basic>\n```javascript\nconst openAiModel = languageModel({\n  type: '@n8n/n8n-nodes-langchain.lmChatOpenAi', version: 1.3,\n  config: { name: 'OpenAI Model', parameters: {}, position: [540, 500] }\n});\n\nconst startTrigger = trigger({\n  type: 'n8n-nodes-base.manualTrigger', version: 1,\n  config: { name: 'Start', position: [240, 300] },\n  output: [{}]\n});\n\nconst aiAgent = node({\n  type: '@n8n/n8n-nodes-langchain.agent', version: 3.1,\n  config: {\n    name: 'AI Assistant',\n    parameters: { promptType: 'define', text: 'You are a helpful assistant' },\n    subnodes: { model: openAiModel },\n    position: [540, 300]\n  },\n  output: [{ output: 'AI response text' }]\n});\n\nexport default workflow('ai-assistant', 'AI Assistant')\n  .add(startTrigger)\n  .to(aiAgent);\n```\n\n</ai_agent_basic>\n\n<ai_agent_with_tools>\n```javascript\nconst openAiModel = languageModel({\n  type: '@n8n/n8n-nodes-langchain.lmChatOpenAi', version: 1.3,\n  config: {\n    name: 'OpenAI Model', parameters: {},\n    credentials: { openAiApi: newCredential('OpenAI') },\n    position: [540, 500]\n  }\n});\n\nconst calculatorTool = tool({\n  type: '@n8n/n8n-nodes-langchain.toolCalculator', version: 1,\n  config: { name: 'Calculator', parameters: {}, position: [700, 500] }\n});\n\nconst startTrigger = trigger({\n  type: 'n8n-nodes-base.manualTrigger', version: 1,\n  config: { name: 'Start', position: [240, 300] },\n  output: [{}]\n});\n\nconst aiAgent = node({\n  type: '@n8n/n8n-nodes-langchain.agent', version: 3.1,\n  config: {\n    name: 'Math Agent',\n    parameters: { promptType: 'define', text: 'You can use tools to help users' },\n    subnodes: { model: openAiModel, tools: [calculatorTool] },\n    position: [540, 300]\n  },\n  output: [{ output: '42' }]\n});\n\nexport default workflow('ai-calculator', 'AI Calculator')\n  .add(startTrigger)\n  .to(aiAgent);\n```\n\n</ai_agent_with_tools>\n\n<ai_agent_with_from_ai>\n```javascript\nconst gmailTool = tool({\n  type: 'n8n-nodes-base.gmailTool', version: 1,\n  config: {\n    name: 'Gmail Tool',\n    parameters: {\n      sendTo: fromAi('recipient', 'Email address'),\n      subject: fromAi('subject', 'Email subject'),\n      message: fromAi('body', 'Email content')\n    },\n    credentials: { gmailOAuth2: newCredential('Gmail') },\n    position: [700, 500]\n  }\n});\n\nconst aiAgent = node({\n  type: '@n8n/n8n-nodes-langchain.agent', version: 3.1,\n  config: {\n    name: 'Email Agent',\n    parameters: { promptType: 'define', text: 'You can send emails' },\n    subnodes: { model: openAiModel, tools: [gmailTool] },\n    position: [540, 300]\n  },\n  output: [{ output: 'Email sent successfully' }]\n});\n\nexport default workflow('ai-email', 'AI Email Sender')\n  .add(startTrigger)\n  .to(aiAgent);\n```\n</ai_agent_with_from_ai>\n\n<ai_agent_with_structured_output>\n```javascript\nconst structuredParser = outputParser({\n  type: '@n8n/n8n-nodes-langchain.outputParserStructured', version: 1.3,\n  config: {\n    name: 'Structured Output Parser',\n    parameters: {\n      schemaType: 'fromJson',\n      jsonSchemaExample: '{ \"sentiment\": \"positive\", \"confidence\": 0.95, \"summary\": \"brief summary\" }'\n    },\n    position: [700, 500]\n  }\n});\n\nconst aiAgent = node({\n  type: '@n8n/n8n-nodes-langchain.agent', version: 3.1,\n  config: {\n    name: 'Sentiment Analyzer',\n    parameters: { promptType: 'define', text: 'Analyze the sentiment of the input text', hasOutputParser: true },\n    subnodes: { model: openAiModel, outputParser: structuredParser },\n    position: [540, 300]\n  },\n  output: [{ sentiment: 'positive', confidence: 0.95, summary: 'The text expresses satisfaction' }]\n});\n\nexport default workflow('ai-sentiment', 'AI Sentiment Analyzer')\n  .add(startTrigger)\n  .to(aiAgent);\n```\n</ai_agent_with_structured_output>";