agent-whatsapp-mise-en-place

Do you want to power your WhatsApp with a 100% local AI agent? We're setting up the entire system for you, from Ollama to FastAP and Cloudflare Tunnel, ensuring seamless integration.Ever wonder how your WhatsApp message travels? We'll break down the 7 steps your message takes from your phone to our AI agent and back, explaining each crucial point in the process.Here's our complete A to Z roadmap. We'll guide you through all eight essential steps, with the first three specifically designed to work even without WhatsApp integration.Let's take a quick look at the project's structure. Each file plays a precise role, with the core functions residing within the 'app/' directory.The brain of our operation is Ollama with qwen2.5:7b. The model runs locally on your PC, ensuring no external AI service is needed. We'll show you how to get it running.Next, we prepare the Python environment. We'll walk you through installing Python and its dependencies, and share solutions to common setup pitfalls like 'ImportError' and 'TypeError'.Before going live, we test the agent without WhatsApp. If the agent responds correctly here, you know the AI part is fully functional. We'll guide you through this critical step.The .env file holds all your secrets. Each line corresponds to a specific setting from your Meta dashboard, ensuring secure and accurate configuration of your agent.For steps 5 and 6, we set up the server and Cloudflare tunnel. Meta needs to reach your PC, and the tunnel provides a public HTTPS address at port 8000.Now, let's configure the app on Meta for Developers. We'll show you how to create an app, set up your webhook, and manage subscriptions to get your real messages flowing.