title: Lesson 0 weight: 10 draft: true

TO BE REVIEWED!

👋 Welcome to the Course: Application Development with LLM Open and Apache Open Serverless

A mileage title worthy of Wertmüller — but for friends, it's simply the Mastro GPT Course.

🚀 Step 1: Start the Environment

To start working, launch the development environment.

🟢 Recommended: GitHub Codespace

  1. Go to GitHub → Mastro GPT: https://github.com/mastrogpt
  2. Click the “Code” button.
  3. Select “Create codespace on main”.
  4. Wait for it to start (takes some time the first time).

This is the environment used for the course. It's convenient and preconfigured for both training and development.

⚙️ Step 2: Explore the Interface Icons

Once your Codespace is running, take note of these key icons in the sidebar:

  • ☁️ Cloud icon: Opens the Open Serverless extension.
  • 🧪 Test tube icon: Opens the list of tests.
  • 📄 Docs icon: Opens course documents and slides.
  • 🔍 Search icon: Lets you search in your code and documents.

🔐 Step 3: Login to Open Serverless

  1. Click the Cloud icon.
  2. Press the Login button.
  3. Enter your username and password.
  4. You should see the message:

You have successfully logged in. You can now use Open Serverless.

yaml Copy Edit

This concludes the initial setup. This is Lesson Zero, a pre-lesson to verify that everything works.

🧪 Step 4: Deploy and Run Tests

To ensure your setup is working:

  1. Click the Deploy icon inside the extension.
  2. This will install the starter project.
  3. Once deployed, go to the Test Tube icon.
  4. Run the tests. If the test passes, your environment is working correctly.

🧰 Step 5: Use Development Mode

Switch to development mode to run the web interface:

  1. Click Dev Mode in the Open Serverless extension.
  2. This starts a local web server.

If you don’t see the Open in browser button:

  • Look for the 📡 Antenna icon at the bottom bar.
  • Click the 🌐 Globe icon to open the UI in a browser.

🤖 Step 6: Meet “Pinocchio” — The User Interface

The web frontend is named Pinocchio, a reference to Mastro Geppetto.

Default login credentials:

  • Username: Pinocchio
  • Password: Geppetto (or vice versa)

You’ll be prompted to change it. Here’s how.

🔁 Step 7: Change the Password (via Terminal)

  1. Open the terminal:
    Terminal → New Terminal

  2. Run the following command:

bash obs ai user update Pinocchio Enter your new password.

Redeploy the login service:

bash Copy Edit obs deploy mastrogpt-login This shows how command-line tools can be used instead of the GUI for advanced operations.

🧑‍💻 Step 8: Tour the Interface Features Pinocchio is a multi-chat UI developed in Python. You won‘t need to change the UI — you’ll build backend logic for chat apps.

Available chats: hello: Responds with a greeting.

demo: Demonstrates Pinocchio’s interface features:

Code rendering

HTML view

Chessboard display

Forms and form submissions

Document uploads

Custom side views

Everything is extendable and customizable.

🧪 Step 9: View the Slides To view this lesson's materials:

Click the 📄 Docs icon.

Navigate to the lessons/ folder.

Open the lesson markdown file.

Use the Preview tab to view the slide.

Use Source to copy exercises or commands.

💡 Step 10: Tips for Codespaces To avoid wasting free hours:

Go to GitHub → Settings → Codespaces.

Set Auto-off timeout to 5–10 minutes.

Optionally switch from VS Code web to VS Code desktop.

Alternatively, install and run everything locally using Docker.

We can organize a dedicated lesson on local installation if needed.

☁️ Step 11: Open Serverless Services Your environment includes:

Redis

MinIO

PostgreSQL (not required for this course)

You can deploy apps on:

AWS

Google Cloud

Azure

Akamai

Hetzner

Ubuntu

OpenShift

🆘 Step 12: Get Support You can request your free account or support via:

🌐 Website: https://mastrogpt.com

💬 Chatbot on the website

💼 LinkedIn: Send us a message

💻 Discord: Primary support (use the Italian channel if preferred)

🗣️ Reddit: Ask questions and join the discussion

▶️ Step 13: Start Lesson 1 Now that everything is set up:

Go back to the Cloud icon.

Click Lessons.

Select Lesson 1.

All lesson files will be downloaded automatically.

You're now ready to start building!