Merge pull request #497 from AdityaBavadekar/fix/ci-cd-prettier

Fix: Prettier conflicts between pnpm and pre-commit

.github/workflows/lint.yml

@@ -30,7 +30,7 @@ jobs:
       - name: Set up Python
         uses: actions/setup-python@v4
         with:
-          python-version: 3.11
+          python-version: 3.12
 
       - name: Install Python dependencies
         run: |

.pre-commit-config.yaml

@@ -6,6 +6,7 @@ repos:
         name: Prettier (TS/JS/JSON/Markdown/YAML)
         entry: prettier --write
         language: node
+        additional_dependencies: ["prettier@3.6.2"]
         files: \.(ts|tsx|js|jsx|json|md|yaml|yml)$
 
   - repo: local

blog/build-your-own-operator-on-macos-1.md

@@ -216,14 +216,12 @@ Each response contains:
 Let's break down the main components of our system and how they work together:
 
 1. **The Virtual Machine (VM)**
-
    - Think of this as a safe playground for our AI
    - It's a complete macOS system running inside your computer
    - Anything the AI does stays inside this VM, keeping your main system safe
    - We use `lume` to create and manage this VM
 
 2. **The Computer Interface (CUI)**
-
    - This is how we control the VM
    - It can move the mouse, type text, and take screenshots
    - Works like a remote control for the VM
@@ -303,7 +301,6 @@ This design keeps everything organized and safe. The AI can only interact with t
    ```
 
    **Important Storage Notes:**
-
    - Initial download requires 80GB of free space
    - After first run, space usage reduces to ~30GB due to macOS's sparse file system
    - VMs are stored in `~/.lume`

blog/build-your-own-operator-on-macos-2.md

@@ -77,7 +77,6 @@ Before running any code examples, let's set up a proper environment:
    ```
 
    **Option B: Using Anaconda Navigator UI**
-
    - Open Anaconda Navigator
    - Click on "Environments" in the left sidebar
    - Click the "Create" button at the bottom
@@ -119,7 +118,6 @@ Before running any code examples, let's set up a proper environment:
    ```
 
    **Option B: Use VS Code notebooks**
-
    - Open VS Code
    - Install the Python extension if you haven't already
    - Create a new file with a `.ipynb` extension (e.g., `cua_agent_tutorial.ipynb`)
@@ -345,7 +343,6 @@ One of the most powerful features of the framework is the ability to use local m
 **How to run this example:**
 
 1. First, you'll need to install Ollama for running local models:
-
    - Visit [ollama.com](https://ollama.com) and download the installer for your OS
    - Follow the installation instructions
    - Pull the Gemma 3 model:

docs/src/app/(home)/[[...slug]]/page.tsx

@@ -154,8 +154,8 @@ export default async function Page(props: { params: Promise<{ slug?: string[] }>
                         {link.includes('python')
                           ? 'Python'
                           : link.includes('typescript')
-                          ? 'TypeScript'
-                          : `Source ${index + 1}`}
+                            ? 'TypeScript'
+                            : `Source ${index + 1}`}
                         <ExternalLink className="w-4 h-4 ml-auto" />
                       </a>
                     ))}

examples/computer-example-ts/README.md

@@ -19,7 +19,6 @@ This example demonstrates how to control a Cua Cloud Sandbox using the OpenAI `c
 
 2. **Set up environment variables:**
    Create a `.env` file with the following variables:
-
    - `OPENAI_API_KEY` — your OpenAI API key
    - `CUA_API_KEY` — your Cua Cloud API key
    - `CUA_CONTAINER_NAME` — the name of your provisioned sandbox