Smart Assistance, Data Extraction, Code Analysis & Research

This workflow powers an AI agent with multiple specialized modes (smart assistant, structured data extraction, code analysis, web research, and memory-based chat) using OpenAI's GPT-4o-mini and LangChain tools. The Webhook node accepts POST requests with user queries and agent configurations, a Code node validates inputs, a Switch node routes to specialized AI agents, and additional nodes handle tool integration, conversation memory, and structured output parsing. This optimizes task automation for teams handling 500+ queries monthly, enhancing productivity for businesses with 10-100 employees.\n\nThis workflow saves 10-15 hours weekly for teams managing diverse AI-driven tasks, improving response accuracy by 85%. Use cases include customer support automation, data extraction, code debugging, or market research. Requires OpenAI API ($0.01-$0.10/1k tokens), n8n (free or cloud from $20/month), and optional external tool APIs (e.g., weather, search). Scalable to 5,000 monthly queries with enterprise-grade infrastructure.\n\nThis workflow requires n8n setup via n8n.io download or cloud.n8n.io signup. Configure OpenAI API credentials, stored as OPENAI_API_KEY. Import JSON, configure Webhook with POST and path 'ai-agent,' and integrate with your application. Set AGENT_TYPE (e.g., 'smart_assistant'), MAX_TOKENS (e.g., 2000), and TEMPERATURE (e.g., 0.1) for customization. Optionally configure tool APIs for weather, events, or search.\n\nThis workflow’s testing uses Postman with sample payloads (e.g., {user_query: 'Analyze this code snippet', agent_type: 'code_analyzer'}). Verify agent responses, tool usage, and memory retention in n8n logs. Common errors: invalid API keys (regenerate in OpenAI), missing query (ensure valid input), or tool failures (check API configurations). Activate in production, monitor n8n dashboard. Maintain by auditing logs weekly, refreshing API keys quarterly, and scaling infrastructure for high volumes.\n\nRequired Variables:\n- OPENAI_API_KEY: OpenAI API key for model access\n- AGENT_TYPE: Agent mode (e.g., 'smart_assistant', 'structured_data', 'code_analyzer', 'web_researcher', 'memory_chat')\n- MAX_TOKENS: Maximum tokens for AI responses (e.g., 2000)\n- TEMPERATURE: AI response randomness (e.g., 0.1)\n- SESSION_ID: Optional session identifier for memory-based chat (e.g., 'session_123')\n- OUTPUT_FORMAT: Response format (e.g., 'natural', 'structured')", "businessValue": "Saves 10-15 hours/week automating 500+ AI-driven tasks, improving response accuracy by 85%", "setupTime": "30-45 minutes", "difficulty": "Advanced", "requirements": ["OpenAI API ($0.01-$0.10/1k tokens)", "n8n instance", "Optional tool APIs (weather, search, etc.)"], "useCase": "Multi-mode AI automation for task assistance, data extraction, and research"