OpenAI, LangChain, API 통합을 사용한 작업 자동화 초보자 가이드
고급
이것은Content Creation, Multimodal AI분야의자동화 워크플로우로, 33개의 노드를 포함합니다.주로 If, Set, Code, Merge, Webhook 등의 노드를 사용하며. OpenAI, LangChain 및 API 통합을 사용한 작업 자동화 시작자 가이드
사전 요구사항
- •HTTP Webhook 엔드포인트(n8n이 자동으로 생성)
- •대상 API의 인증 정보가 필요할 수 있음
- •OpenAI API Key
사용된 노드 (33)
워크플로우 미리보기
노드 연결 관계를 시각적으로 표시하며, 확대/축소 및 이동을 지원합니다
워크플로우 내보내기
다음 JSON 구성을 복사하여 n8n에 가져오면 이 워크플로우를 사용할 수 있습니다
{
"meta": {
"instanceId": "cfcdd4aa7acb600106c0a4bff4e6959e8e3b32b3b8cbc7d93531b2a4c9012a32"
},
"nodes": [
{
"id": "0a919d77-d00e-46a4-9dd4-c89f16cb5467",
"name": "시작하기 - 수동 트리거",
"type": "n8n-nodes-base.manualTrigger",
"position": [
-400,
288
],
"parameters": {},
"typeVersion": 1
},
{
"id": "af159130-a22f-4a30-a426-3c3dece6777b",
"name": "환영 메시지",
"type": "n8n-nodes-base.stickyNote",
"position": [
-528,
-128
],
"parameters": {
"color": 4,
"width": 348,
"height": 596,
"content": "## Welcome to n8n!\n\nThis is a **Sticky Note** - used for documentation.\n\n### What you'll learn:\n1. **Triggers** - How workflows start\n2. **Data Processing** - Manipulating data\n3. **Conditionals** - Making decisions\n4. **API Calls** - External integrations\n5. **AI Agents** - Using LangChain\n\n👉 Click \"Execute Workflow\" to start!"
},
"typeVersion": 1
},
{
"id": "7e354aac-bf00-4137-b6a2-fb96971b27a9",
"name": "초기 데이터 설정",
"type": "n8n-nodes-base.set",
"position": [
-48,
288
],
"parameters": {
"options": {}
},
"typeVersion": 3.3
},
{
"id": "597d33d2-acf4-4f37-8d9b-b91b8e632500",
"name": "Set Node 정보",
"type": "n8n-nodes-base.stickyNote",
"position": [
-160,
-128
],
"parameters": {
"color": 5,
"width": 340,
"height": 592,
"content": "## Set Node\n\n**Purpose:** Create or modify data fields\n\n**Key Features:**\n- Add new fields to your data\n- Set static or dynamic values\n- Support for strings, numbers, booleans, arrays, objects\n\n**Expressions:**\n- `={{ $now }}` - Current timestamp\n- `={{ $workflow.name }}` - Workflow name\n- `={{ $json.fieldName }}` - Access previous data"
},
"typeVersion": 1
},
{
"id": "6ed38d45-da78-4c65-80c3-31622b13df7a",
"name": "Code Node - 사용자 정의 처리",
"type": "n8n-nodes-base.code",
"position": [
320,
288
],
"parameters": {
"jsCode": "// Code Node - Write custom JavaScript\n\n// Access all input items\nconst items = $input.all();\n\n// Process each item\nconst results = items.map((item, index) => {\n const data = item.json;\n \n return {\n json: {\n // Keep original data\n ...data,\n // Add new calculated fields\n doubled_number: data.sample_number * 2,\n message_length: data.message.length,\n processed_at: new Date().toISOString(),\n item_index: index,\n // Example of string manipulation\n uppercase_message: data.message.toUpperCase(),\n // Example array\n tags: ['beginner', 'tutorial', 'n8n']\n }\n };\n});\n\nreturn results;"
},
"typeVersion": 2
},
{
"id": "1721a18e-125b-4b05-a49a-61751809244d",
"name": "Code Node 정보",
"type": "n8n-nodes-base.stickyNote",
"position": [
192,
-176
],
"parameters": {
"color": 5,
"width": 340,
"height": 648,
"content": "## Code Node\n\n**Purpose:** Execute custom JavaScript\n\n**Available Context:**\n- `$input.all()` - All input items\n- `$input.first()` - First item only\n- `$json` - Current item data\n\n**Built-in Libraries:**\n- lodash, moment, luxon\n- mathjs, uuid, crypto\n\n**Pattern:**\n```javascript\nconst items = $input.all();\nconst results = items.map(item => ({\n json: { ...item.json, newField: 'value' }\n}));\nreturn results;\n```"
},
"typeVersion": 1
},
{
"id": "b1b6de48-2d84-4133-a9ca-c40efd8d40cb",
"name": "IF 조건 - 데이터 라우팅",
"type": "n8n-nodes-base.if",
"position": [
688,
288
],
"parameters": {
"options": {},
"conditions": {
"options": {
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "condition-001",
"operator": {
"type": "number",
"operation": "smaller"
},
"leftValue": "={{ $json.sample_number }}",
"rightValue": 50
}
]
}
},
"typeVersion": 2
},
{
"id": "dd24f45a-9770-49ee-bf1d-dafce878acb1",
"name": "IF Node 정보",
"type": "n8n-nodes-base.stickyNote",
"position": [
560,
-160
],
"parameters": {
"color": 5,
"width": 340,
"height": 636,
"content": "## IF Node\n\n**Purpose:** Conditional branching\n\n**Outputs:**\n- ✅ **True** - Condition met\n- ❌ **False** - Condition not met\n\n**Comparison Types:**\n- Number: equals, larger, smaller\n- String: equals, contains, regex\n- Boolean: true, false\n- Array: contains, length\n\n**Logic:**\n- AND - All conditions must be true\n- OR - Any condition can be true"
},
"typeVersion": 1
},
{
"id": "982434c7-64a0-46b3-a3d0-ce388c5a3447",
"name": "True 분기 데이터",
"type": "n8n-nodes-base.set",
"position": [
976,
128
],
"parameters": {
"options": {}
},
"typeVersion": 3.3
},
{
"id": "d418f9a5-197b-4754-a242-e41130fdfd37",
"name": "False 분기 데이터",
"type": "n8n-nodes-base.set",
"position": [
976,
320
],
"parameters": {
"options": {}
},
"typeVersion": 3.3
},
{
"id": "35c673ad-958d-45fd-bf70-a659862ad007",
"name": "두 분기 병합",
"type": "n8n-nodes-base.merge",
"position": [
1280,
224
],
"parameters": {
"mode": "combine",
"options": {}
},
"typeVersion": 3
},
{
"id": "a8fa8326-b655-4f81-81b5-6188ac70213b",
"name": "Merge Node 정보",
"type": "n8n-nodes-base.stickyNote",
"position": [
1152,
-160
],
"parameters": {
"color": 5,
"width": 340,
"height": 540,
"content": "## Merge Node\n\n**Purpose:** Combine data streams\n\n**Modes:**\n- **Append** - Stack items\n- **Combine by Position** - Merge paired items\n- **Combine by Fields** - Join on matching values\n- **Multiplex** - Create combinations\n\n**Use Cases:**\n- Reunite split branches\n- Join data from different sources\n- Create data combinations"
},
"typeVersion": 1
},
{
"id": "e68f97f4-e769-4e19-b005-81afe32e19bd",
"name": "HTTP 요청 - 사용자 조회",
"type": "n8n-nodes-base.httpRequest",
"position": [
-16,
944
],
"parameters": {
"url": "https://jsonplaceholder.typicode.com/users",
"options": {}
},
"typeVersion": 4.2
},
{
"id": "aec22fa9-c3b0-493f-9e7d-18396bbc89e7",
"name": "HTTP 요청 정보",
"type": "n8n-nodes-base.stickyNote",
"position": [
-144,
480
],
"parameters": {
"color": 6,
"width": 360,
"height": 656,
"content": "## HTTP Request Node\n\n**Purpose:** Call external APIs\n\n**Methods:**\n- GET - Retrieve data\n- POST - Create data\n- PUT/PATCH - Update data\n- DELETE - Remove data\n\n**Authentication:**\n- None, Basic Auth, OAuth2\n- API Key, Bearer Token\n\n**Example:** Fetching from JSONPlaceholder API\n\n💡 **Tip:** Test APIs with free endpoints first!"
},
"typeVersion": 1
},
{
"id": "2a386f39-b829-4fa6-9feb-a3514cdce8e0",
"name": "사용자 배열 분할",
"type": "n8n-nodes-base.splitOut",
"position": [
320,
944
],
"parameters": {
"options": {},
"fieldToSplitOut": "data"
},
"typeVersion": 1
},
{
"id": "b7224087-b8e0-4aa3-ac02-420d8cf48e85",
"name": "Split Out 정보",
"type": "n8n-nodes-base.stickyNote",
"position": [
224,
480
],
"parameters": {
"color": 6,
"width": 308,
"height": 648,
"content": "## Split Out Node\n\n**Purpose:** Convert arrays to individual items\n\n**Example:**\nBefore: 1 item with array of 10 users\nAfter: 10 separate items\n\n**Why?**\n- Process each item individually\n- Apply conditions per item\n- Send separate API calls\n\n**Pattern:**\n```\nHTTP Request → Split Out → Process Each\n```"
},
"typeVersion": 1
},
{
"id": "ae144427-e63f-47d6-9e3a-a01fff3eba3f",
"name": "사용자 필드 추출",
"type": "n8n-nodes-base.set",
"position": [
576,
944
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "assignment-001",
"name": "user_name",
"type": "string",
"value": "={{ $json.name }}"
},
{
"id": "assignment-002",
"name": "user_email",
"type": "string",
"value": "={{ $json.email }}"
},
{
"id": "assignment-003",
"name": "company",
"type": "string",
"value": "={{ $json.company.name }}"
}
]
}
},
"typeVersion": 3.3
},
{
"id": "9a02665d-32f7-41d3-8961-584d39a24fde",
"name": "OpenAI API - 재미있는 사실 생성",
"type": "n8n-nodes-base.httpRequest",
"position": [
864,
944
],
"parameters": {
"url": "https://api.openai.com/v1/chat/completions",
"options": {},
"sendBody": true,
"sendHeaders": true,
"authentication": "predefinedCredentialType",
"bodyParameters": {
"parameters": [
{
"name": "model",
"value": "gpt-4o-mini"
},
{
"name": "messages",
"value": "=[{\"role\": \"user\", \"content\": \"Generate a fun fact about {{ $json.user_name }}'s company: {{ $json.company }}\"}]"
},
{
"name": "temperature",
"value": "0.7"
},
{
"name": "max_tokens",
"value": "100"
}
]
},
"headerParameters": {
"parameters": [
{
"name": "Content-Type",
"value": "application/json"
}
]
},
"nodeCredentialType": "openAiApi"
},
"typeVersion": 4.2
},
{
"id": "f06c7f4c-8577-472d-bdd2-ffea5d6f4abf",
"name": "OpenAI 정보",
"type": "n8n-nodes-base.stickyNote",
"position": [
736,
480
],
"parameters": {
"color": 6,
"width": 360,
"height": 652,
"content": "## OpenAI Integration\n\n**Purpose:** AI-powered processing\n\n**Setup:**\n1. Add OpenAI credentials\n2. Use HTTP Request node\n3. Configure model & parameters\n\n**Models:**\n- gpt-4o - Most capable\n- gpt-4o-mini - Fast & cost-effective\n- gpt-3.5-turbo - Legacy\n\n**Parameters:**\n- temperature: 0-1 (creativity)\n- max_tokens: Response length"
},
"typeVersion": 1
},
{
"id": "27523b11-3a92-4b5f-b457-811ee30e188f",
"name": "Webhook - 데이터 수신",
"type": "n8n-nodes-base.webhook",
"position": [
1344,
944
],
"webhookId": "88d6f248-451b-477a-b754-1b9ce326e67c",
"parameters": {
"path": "beginner-webhook",
"options": {},
"httpMethod": "POST",
"responseMode": "responseNode"
},
"typeVersion": 2
},
{
"id": "40cee779-e780-4766-a057-3457c27dc1ea",
"name": "Webhooks 정보",
"type": "n8n-nodes-base.stickyNote",
"position": [
1264,
480
],
"parameters": {
"color": 7,
"width": 492,
"height": 660,
"content": "## Webhook Node\n\n**Purpose:** HTTP endpoint for external systems\n\n**URL Pattern:**\n`https://your-instance/webhook/path-name`\n\n**Use Cases:**\n- Receive form submissions\n- Handle API callbacks\n- Integrate with third-party services\n\n**Test It:**\n```bash\ncurl -X POST \\\n https://your-n8n/webhook/beginner-webhook \\\n -H 'Content-Type: application/json' \\\n -d '{\"name\":\"Test\",\"value\":123}'\n```"
},
"typeVersion": 1
},
{
"id": "5d91498e-32e9-4f9e-89aa-3d4a079f1109",
"name": "Webhook 응답 전송",
"type": "n8n-nodes-base.respondToWebhook",
"position": [
1552,
944
],
"parameters": {
"options": {},
"respondWith": "json",
"responseBody": "={{ { \"status\": \"success\", \"received\": $json.body, \"processed_at\": $now.toISO() } }}"
},
"typeVersion": 1.1
},
{
"id": "2bf3244b-8dfd-4cb8-8daa-47e6617d91f0",
"name": "채팅 트리거 - AI 어시스턴트",
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"position": [
-400,
1568
],
"webhookId": "beginner-chat-assistant",
"parameters": {
"public": true,
"options": {
"title": "n8n Beginner's Assistant",
"subtitle": "Your AI helper for learning n8n",
"responseMode": "lastNode"
},
"initialMessages": "Hello! I'm an n8n AI assistant. Ask me anything about n8n workflows!\n\nTry asking:\n- How do I use the IF node?\n- What's the Code node for?\n- How do I call external APIs?"
},
"typeVersion": 1.1
},
{
"id": "ac85dfaf-f606-44b5-b2eb-65f3988f1874",
"name": "채팅 + AI 정보",
"type": "n8n-nodes-base.stickyNote",
"position": [
-528,
1168
],
"parameters": {
"color": 3,
"width": 380,
"height": 576,
"content": "## Chat Trigger + AI Agent\n\n**Purpose:** Create AI chatbots\n\n**Components:**\n1. **Chat Trigger** - Receives messages\n2. **AI Agent** - Processes with AI\n3. **Memory** - Remembers context\n4. **Tools** - Actions agent can take\n\n**Perfect for:**\n- Customer support bots\n- Internal assistants\n- Interactive tutorials\n\n**Try it:** Open the chat interface and ask questions!"
},
"typeVersion": 1
},
{
"id": "597eee76-e669-439b-a063-d1efc915d67f",
"name": "Window Buffer Memory",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"position": [
192,
1536
],
"parameters": {
"contextWindowLength": 10
},
"typeVersion": 1.2
},
{
"id": "29e89cad-0ecb-4bd4-9c70-1b11a78a8dad",
"name": "OpenAI 채팅 모델",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
0,
1536
],
"parameters": {
"options": {
"maxTokens": 500,
"temperature": 0.7
}
},
"typeVersion": 1
},
{
"id": "c835131a-07ec-4e77-82bc-aaf9644d17b7",
"name": "도구: 현재 시간",
"type": "@n8n/n8n-nodes-langchain.toolCode",
"position": [
448,
1584
],
"parameters": {
"name": "get_current_time",
"description": "Returns the current date and time. Use this when users ask about the current time, date, day of week, etc."
},
"typeVersion": 1
},
{
"id": "68818e55-db72-4660-9810-709877f2f90b",
"name": "도구: 계산기",
"type": "@n8n/n8n-nodes-langchain.toolCode",
"position": [
640,
1584
],
"parameters": {
"name": "calculate",
"jsCode": "// Parse input string and calculate\nconst input = $input;\nconst expression = typeof input === 'string' ? input : JSON.stringify(input);\n\ntry {\n // Simple eval for basic math (in production, use a proper math parser)\n const result = eval(expression.replace(/[^0-9+\\-*/().\\s]/g, ''));\n return JSON.stringify({ result: result, expression: expression });\n} catch (error) {\n return JSON.stringify({ error: 'Invalid mathematical expression', input: expression });\n}",
"description": "Performs mathematical calculations. Input should be a mathematical expression as a string, like '5 + 3' or '10 * 2'."
},
"typeVersion": 1
},
{
"id": "9bfbc587-b48c-445d-afa4-32ed86183ce5",
"name": "AI 에이전트 - n8n 어시스턴트",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
0,
1232
],
"parameters": {
"options": {
"systemMessage": "=You are a helpful n8n workflow assistant for beginners.\n\nYour role:\n- Explain n8n concepts in simple terms\n- Provide examples and best practices\n- Help users understand nodes and their connections\n- Be encouraging and patient\n\nKey Topics:\n- Triggers (Manual, Webhook, Schedule, Chat)\n- Data Processing (Set, Code, Edit Fields)\n- Logic (IF, Switch, Merge)\n- Integrations (HTTP Request, APIs)\n- AI Features (Chat Trigger, AI Agent, Tools)\n\nAlways:\n- Use clear, beginner-friendly language\n- Provide practical examples\n- Suggest next learning steps"
},
"hasOutputParser": true
},
"typeVersion": 1.7
},
{
"id": "3c1d13db-6558-4296-9928-cebe9163de4c",
"name": "AI 도구 정보",
"type": "n8n-nodes-base.stickyNote",
"position": [
400,
1152
],
"parameters": {
"color": 3,
"width": 360,
"height": 588,
"content": "## AI Agent Tools\n\n**Purpose:** Give AI capabilities\n\n**Tool Types:**\n- **Code Tools** - Custom JavaScript\n- **Workflow Tools** - Call other workflows\n- **HTTP Tools** - API calls\n- **Vector Store** - Knowledge retrieval\n- **Calculator** - Math operations\n\n**How it works:**\n1. User asks question\n2. AI decides which tool to use\n3. Tool executes and returns result\n4. AI formats response"
},
"typeVersion": 1
},
{
"id": "098527ad-4c10-4865-8fd4-922bf0e8a3ef",
"name": "스케줄 - 매주 월요일 오전 9시",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
-400,
976
],
"parameters": {
"rule": {
"interval": [
{
"field": "cronExpression",
"expression": "0 9 * * 1"
}
]
}
},
"typeVersion": 1.2
},
{
"id": "051f647b-7a26-495a-b268-3c32f4b97185",
"name": "스케줄 정보",
"type": "n8n-nodes-base.stickyNote",
"position": [
-528,
480
],
"parameters": {
"color": 7,
"width": 360,
"height": 660,
"content": "## Schedule Trigger\n\n**Purpose:** Run workflows on schedule\n\n**Options:**\n- **Seconds/Minutes** - Short intervals\n- **Hours** - Hourly tasks\n- **Days** - Daily jobs\n- **Weeks** - Weekly reports\n- **Cron** - Custom schedules\n\n**Example Cron:**\n- `0 9 * * 1` - Monday 9 AM\n- `0 */6 * * *` - Every 6 hours\n- `0 0 1 * *` - First day of month\n\n**Use Cases:**\n- Daily reports\n- Data synchronization\n- Cleanup tasks"
},
"typeVersion": 1
},
{
"id": "1d7cb17d-2ef8-4500-8199-e48e3505b831",
"name": "최종 요약",
"type": "n8n-nodes-base.set",
"position": [
1552,
224
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "final-summary",
"name": "workflow_summary",
"type": "string",
"value": "=Workflow executed successfully!\n\nProcessed items: {{ $items().length }}\nTimestamp: {{ $now.toISO() }}\n\nThis beginner workflow demonstrated:\n- Data creation and manipulation\n- Conditional logic\n- API integrations\n- AI capabilities\n\nNext: Explore n8n documentation and build your own workflows!"
}
]
}
},
"typeVersion": 3.3
}
],
"pinData": {},
"connections": {
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"ai_languageModel": [
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}자주 묻는 질문
이 워크플로우를 어떻게 사용하나요?
위의 JSON 구성 코드를 복사하여 n8n 인스턴스에서 새 워크플로우를 생성하고 "JSON에서 가져오기"를 선택한 후, 구성을 붙여넣고 필요에 따라 인증 설정을 수정하세요.
이 워크플로우는 어떤 시나리오에 적합한가요?
고급 - 콘텐츠 제작, 멀티모달 AI
유료인가요?
이 워크플로우는 완전히 무료이며 직접 가져와 사용할 수 있습니다. 다만, 워크플로우에서 사용하는 타사 서비스(예: OpenAI API)는 사용자 직접 비용을 지불해야 할 수 있습니다.
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