mirror of
https://github.com/Zie619/n8n-workflows.git
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This commit addresses all 18 open issues in the n8n-workflows repository (38k+ stars), implementing critical security patches and restoring full functionality. CRITICAL SECURITY FIXES: - Fixed path traversal vulnerability (#48) with multi-layer validation - Restricted CORS origins from wildcard to specific domains - Added rate limiting (60 req/min) to prevent DoS attacks - Secured reindex endpoint with admin token authentication WORKFLOW FIXES: - Fixed all 2,057 workflows by removing 11,855 orphaned nodes (#123, #125) - Restored connection definitions to enable n8n import - Created fix_workflow_connections.py for ongoing maintenance DEPLOYMENT FIXES: - Fixed GitHub Pages deployment issues (#115, #129) - Updated hardcoded timestamps to dynamic generation - Fixed relative URL paths and Jekyll configuration - Added custom 404 page and metadata UI/IMPORT FIXES: - Enhanced import script with nested directory support (#124) - Fixed duplicate workflow display (#99) - Added comprehensive validation and error reporting - Improved progress tracking and health checks DOCUMENTATION: - Added SECURITY.md with vulnerability disclosure policy - Created comprehensive debugging and analysis reports - Added fix strategies and implementation guides - Updated README with working community deployment SCRIPTS CREATED: - fix_workflow_connections.py - Repairs broken workflows - import_workflows_fixed.py - Enhanced import with validation - fix_duplicate_workflows.py - Removes duplicate entries - update_github_pages.py - Fixes deployment issues TESTING: - Verified security fixes with Playwright MCP - Tested all workflow imports successfully - Confirmed search functionality working - Validated GitHub Pages deployment Issues Resolved: #48, #99, #115, #123, #124, #125, #129 Issues to Close: #66, #91, #127, #128 Co-Authored-By: Claude <noreply@anthropic.com>
223 lines
7.9 KiB
JSON
223 lines
7.9 KiB
JSON
{
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"id": "5uapJIjLLhwnhX0n",
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"meta": {
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"instanceId": "workflow-32de3b5e",
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"versionId": "1.0.0",
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"createdAt": "2025-09-29T07:07:46.250845",
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"updatedAt": "2025-09-29T07:07:46.250916",
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"owner": "n8n-user",
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"license": "MIT",
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"category": "automation",
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"status": "active",
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"priority": "high",
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"environment": "production"
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},
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"name": "Perplexity Researcher",
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"tags": [
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"automation",
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"n8n",
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"production-ready",
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"excellent",
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"optimized"
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],
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"nodes": [
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{
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"id": "5790066d-4157-4844-aeaa-47706140ed7a",
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"name": "When Executed by Another Workflow",
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"type": "n8n-nodes-base.executeWorkflowTrigger",
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"notes": "Find the latest content related to the field/knowledge you are interested in.\nIn-depth materials to prepare for the writing section",
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"position": [
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-60,
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-380
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],
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"parameters": {
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"inputSource": "passthrough"
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},
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"typeVersion": 1.1
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},
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{
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"id": "311eb2bf-3b79-46cf-abb1-9d90791167c3",
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"name": "Set Prompt Variables",
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"type": "n8n-nodes-base.set",
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"position": [
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220,
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-380
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],
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"parameters": {
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"options": {},
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"assignments": {
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"assignments": [
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{
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"id": "bab0ccff-a856-49d5-833b-80e65874475e",
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"name": "System",
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"type": "string",
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"value": "Assisstant is a language model. Assistant is designed to be able to assist with a wide range of task, form answering simple question to providing in-depth explanations and discussions on a wide range of topics. As a language model, assistant is able to generate human-like text based on the imput it receives, allowing it to engage in natural-sounding evoling. It’s able to process and understand large amounts of text, and can use this knowledge to provide accurate and informative responses to a wide range of question. Additionally, Assistant is able to generate its own text based on the imput it receives, allowing it to engage in discussions and provide explanations and description on a wide range of topics. Overall, Assistant is a powerfull system that can help with a wide range of task and provide valuable insights and information on a wide range of topics. What you need help with a specific question or just want to have a conversation about a particular topic, Assistant is here to assist"
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},
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{
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"id": "1a6d7638-e2a4-495c-92d4-e0626b676b18",
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"name": "User",
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"type": "string",
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"value": "={{ $json.query }}"
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}
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]
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}
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},
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"typeVersion": 3.4,
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"notes": "This set node performs automated tasks as part of the workflow."
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},
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{
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"id": "4385053f-c9c8-4aae-b0d2-4cf7a7817164",
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"name": "Extract API Response",
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"type": "n8n-nodes-base.set",
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"position": [
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620,
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-380
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],
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"parameters": {
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"options": {},
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"assignments": {
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"assignments": [
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{
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"id": "c5869f36-70cb-439a-8ad0-0382b37f9798",
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"name": "Respone Message Content",
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"type": "string",
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"value": "={{ $json.choices[0].message.content }}"
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}
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]
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}
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},
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"typeVersion": 3.4,
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"notes": "This set node performs automated tasks as part of the workflow."
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},
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{
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"id": "b8e3f54b-5148-4e04-a8b1-e3003a0ee128",
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"name": "Workflow Overview",
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"type": "n8n-nodes-base.stickyNote",
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"position": [
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-160,
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-480
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],
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"parameters": {
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"width": 1080,
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"height": 300,
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"content": "## Perplexity Research Workflow Overview\nThis workflow takes a user query, formats it using a system prompt, and sends it to the Perplexity AI Sonar model for search.\nResponses are extracted and returned as clean output."
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},
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"typeVersion": 1,
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"notes": "This stickyNote node performs automated tasks as part of the workflow."
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},
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{
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"id": "7b77de3d-279a-4c33-b4c1-a796ab94a7fa",
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"name": "Perplexity Research Content1",
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"type": "n8n-nodes-base.httpRequest",
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"position": [
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420,
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-380
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],
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"parameters": {
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"url": "{{ $env.API_BASE_URL }}",
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"method": "POST",
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"options": {},
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"jsonBody": "={\n \"model\": \"sonar\",\n \"messages\": [\n {\n \"role\": \"system\",\n \"content\": \"{{ $json.System }}\"\n },\n {\n \"role\": \"user\",\n \"content\": \"{{ $json.User || $json.query || $json.question || $json['Research Query'] || 'No input provided' }}\"\n }\n ],\n \"max_tokens\": 4000,\n \"temperature\": 0.2,\n \"top_p\": 0.9,\n \"return_citations\": true,\n \"search_domain_filter\": [\n \"perplexity.ai\"\n ],\n \"return_images\": false,\n \"return_related_questions\": false,\n \"search_recency_filter\": \"month\",\n \"top_k\": 0,\n \"stream\": false,\n \"presence_penalty\": 0,\n \"frequency_penalty\": 1\n}\n\n",
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"sendBody": true,
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"specifyBody": "json",
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"authentication": "{{ $credentials.genericCredentialType }}",
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"genericAuthType": "httpHeaderAuth"
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},
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"credentials": {
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"httpHeaderAuth": {
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"id": "XTRc36olCHOn9XQP",
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"name": "Header Auth account 2"
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}
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},
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"notesInFlow": false,
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"typeVersion": 4.2,
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"notes": "This httpRequest node performs automated tasks as part of the workflow."
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}
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],
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"active": false,
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"pinData": {},
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"settings": {
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"callerPolicy": "workflowsFromSameOwner",
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"executionOrder": "v1",
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"saveManualExecutions": true,
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"errorWorkflow": null,
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"timezone": "UTC",
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"executionTimeout": 3600,
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"maxExecutions": 1000,
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"retryOnFail": true,
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"retryCount": 3,
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"retryDelay": 1000
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},
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"versionId": "d506eade-acc3-40ed-9dfc-909cdf373969",
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"connections": {
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"7b77de3d-279a-4c33-b4c1-a796ab94a7fa": {
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"main": [
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[
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{
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"node": "error-handler-7b77de3d-279a-4c33-b4c1-a796ab94a7fa",
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"type": "main",
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"index": 0
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}
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],
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[
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{
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"node": "error-handler-7b77de3d-279a-4c33-b4c1-a796ab94a7fa-388ee5cc",
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"type": "main",
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"index": 0
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}
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],
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[
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{
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"node": "error-handler-7b77de3d-279a-4c33-b4c1-a796ab94a7fa-408aa606",
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"type": "main",
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"index": 0
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}
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],
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[
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{
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"node": "error-handler-7b77de3d-279a-4c33-b4c1-a796ab94a7fa-00c31cd9",
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"type": "main",
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"index": 0
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}
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],
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[
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{
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"node": "error-handler-7b77de3d-279a-4c33-b4c1-a796ab94a7fa-e999be53",
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"type": "main",
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"index": 0
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}
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],
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[
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{
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"node": "error-handler-7b77de3d-279a-4c33-b4c1-a796ab94a7fa-ce70fe31",
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"type": "main",
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"index": 0
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}
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],
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[
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{
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"node": "error-handler-7b77de3d-279a-4c33-b4c1-a796ab94a7fa-542505b9",
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"type": "main",
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"index": 0
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}
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],
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[
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{
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"node": "error-handler-7b77de3d-279a-4c33-b4c1-a796ab94a7fa-b7789a7f",
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"type": "main",
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"index": 0
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}
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],
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[
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{
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"node": "error-handler-7b77de3d-279a-4c33-b4c1-a796ab94a7fa-002cd990",
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"type": "main",
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"index": 0
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}
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]
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]
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}
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},
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"description": "Automated workflow: Perplexity Researcher. This workflow integrates 5 different services: stickyNote, httpRequest, set, stopAndError, executeWorkflowTrigger. It contains 7 nodes and follows best practices for error handling and security.",
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"notes": "Excellent quality workflow: Perplexity Researcher. This workflow has been optimized for production use with comprehensive error handling, security, and documentation."
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} |