URL: https://lovable.dev/projects/44718977-c2ec-48c6-ac60-dabe137f5919

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This project is built with:

• Vite
• TypeScript
• React
• shadcn-ui
• Tailwind CSS
• Supabase (Database & Edge Functions)
• Advanced AI Chatbot System

This portfolio features a sophisticated multi-tier AI chatbot system with:

• Session Storage: Full conversation history stored in Supabase
• Multi-Tier AI Fallbacks: Chatbase → Gemini → Scaleway → Ollama → Hardcoded
• Context Awareness: Uses portfolio content and conversation history
• Analytics: Response times, provider usage, and session statistics

• id (uuid, primary key)
• session_id (text, unique session identifier)
• user_id (uuid, optional for authenticated users)
• ip_address (text, for anonymous tracking)
• user_agent (text, browser/device info)
• created_at (timestamp)
• last_activity (timestamp)
• total_messages (integer)
• session_metadata (jsonb)

• id (uuid, primary key)
• session_id (text, references sessions)
• message_order (integer, order in conversation)
• user_message (text, user input)
• bot_response (text, AI response)
• ai_provider_used (text, which AI service responded)
• response_time_ms (integer, response time)
• context_used (jsonb, context information)
• created_at (timestamp)

Store these secrets in Supabase Vault:

• GEMINI_API_KEY: Google Gemini API key
• SCALEWAY_API_KEY: Scaleway AI API key
• SCALEWAY_BASE_URL: Scaleway API endpoint
• OLLAMA_URL: Local Ollama server URL (optional)

Query conversations in Supabase:

-- Get all sessions
SELECT * FROM chatbot_sessions ORDER BY created_at DESC;

-- Get conversation for specific session
SELECT * FROM chatbot_conversations 
WHERE session_id = 'your_session_id' 
ORDER BY message_order;

-- Get usage statistics
SELECT 
  ai_provider_used,
  COUNT(*) as usage_count,
  AVG(response_time_ms) as avg_response_time
FROM chatbot_conversations 
GROUP BY ai_provider_used;

1. Hardcoded Responses: Edit tryHardcodedResponses() in /supabase/functions/advanced-chatbot/index.ts
2. AI Prompts: Modify buildContextPrompt() function
3. Provider Order: Adjust the providers array in getAIResponseWithFallbacks()

Edit the responses object in the tryHardcodedResponses() function:

const responses = {
  greeting: "Your custom greeting...",
  projects: "Your custom project response...",
  // Add more categories as needed
};

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