Fix env loading for HuggingFace Spaces

ai_agent.py

@@ -7,15 +7,18 @@ import os
 import json
 import httpx
 from typing import Dict, Any, List
-from dotenv import load_dotenv
 
-# Load environment variables
-load_dotenv()
-
-# API Configuration from .env
-BASE_URL = os.getenv("ANTHROPIC_BASE_URL", "https://api.anthropic.com")
-API_KEY = os.getenv("ANTHROPIC_API_KEY", "")
-MODEL = os.getenv("ANTHROPIC_MODEL", "claude-sonnet-4-20250514")
+# Load .env file if it exists (for local development)
+try:
+    from dotenv import load_dotenv
+    load_dotenv()
+except ImportError:
+    pass
+
+# API Configuration - works with both .env file and HuggingFace Secrets
+BASE_URL = os.environ.get("ANTHROPIC_BASE_URL", "https://api.anthropic.com")
+API_KEY = os.environ.get("ANTHROPIC_API_KEY", "")
+MODEL = os.environ.get("ANTHROPIC_MODEL", "claude-sonnet-4-20250514")
 
 
 async def call_ai(prompt: str, system: str = "") -> str:

email-to-dean-grace.md

@@ -0,0 +1,44 @@
+# Email Draft — Dean Grace (Aurora Office Furniture)
+
+**To:** dean@auroraoffice.com.au
+**Subject:** AI Operating System Demo — Built for Aurora Office Furniture
+
+---
+
+Hi Dean,
+
+I saw your Upwork posting for a Lead AI Automation Engineer and was genuinely excited by Aurora's vision for an AI-driven business transformation.
+
+I've built enterprise AI systems with similar requirements to what you described:
+
+**Relevant Projects:**
+- **Hermes Enterprise AI Platform** — Multi-agent AI system with Odoo ERP integration, MCP servers, and autonomous workflows ([GitHub](https://github.com/mysterious75/hermes-mcp-autonomous-research-platform))
+- **Fleet Management Agent** — Autonomous 24/7 monitoring agent with real-time dashboards, predictive alerts, and human-in-the-loop escalation ([GitHub](https://github.com/mysterious75/fleet-ryan-agent))
+
+**What I've Built for Aurora:**
+
+I've prepared a working demo tailored specifically to your business — an AI Operating System that:
+
+1. **Connects to Odoo ERP** — Analyzes products, orders, customers, and inventory
+2. **Identifies Risks** — Out-of-stock items, overdue receivables, low-margin products
+3. **Prioritizes Actions** — Ranked by business impact, not just data dumps
+4. **Interactive AI Assistant** — Ask questions about your business in natural language
+
+**Live Demo:** https://vora-sonnet-aurora-ai-os.hf.space
+
+**Source Code:** https://github.com/mysterious75/aurora-ai-operating-system
+
+The demo uses mock data, but the architecture is ready for live Odoo integration. I can have it connected to your actual ERP within a week.
+
+**My Approach for Aurora:**
+- Week 1-2: Connect live Odoo data + basic automations
+- Week 3-4: Sales pipeline analysis + inventory optimization
+- Week 5-6: Customer insights + automated follow-ups
+- Ongoing: New AI capabilities based on business needs
+
+Would you have 15 minutes this week for a quick walkthrough of the demo? I'd love to understand your specific priorities and show how this could work for your team.
+
+Best regards,
+[Your Name]
+AI Automation Engineer
+GitHub: https://github.com/mysterious75