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wrangler is a command line tool for building Cloudflare Workers.

Quick Start

To get started quickly with a Hello World worker, run the command below:

npx wrangler init my-worker -y

For more info, visit our Getting Started guide.

<details><summary>Wrangler System Requirements</summary>

We support running the Wrangler CLI with the Current, Active, and Maintenance versions of Node.js. Your Worker will always be executed in workerd, the open source Cloudflare Workers runtime.

Wrangler is only supported on macOS 13.5+, Windows 11, and Linux distros that support glib 2.35. This follows workerd's OS support policy.

</details>

Documentation

For the latest Wrangler documentation, click here.

To read more about Workers in general:

• Getting Started
• How Workers works
• Observability
• Platform

Configuration

Wrangler is configured via a wrangler.toml or wrangler.json file in the project root. An example configuration generated by npx wrangler init or npx create cloudflare is as follows:

name = "my-worker"
main = "./src/index.ts"
compatibility_date = "YYYY-MM-DD"

For more detailed information about configuration, refer to the documentation.

Commands

Workers

wrangler dev

Start a local development server, with live reloading and devtools.

wrangler deploy

Publish the given script to Cloudflare's global network.

For more commands and options, refer to the documentation.

Pages

wrangler pages dev [directory]

Serves a static build asset directory.

Builds and runs functions from a ./functions directory or uses a _worker.js file inside the static build asset directory.

For more commands and options, refer to the documentation or run wrangler pages dev --help.

Key Actionable Steps or Processes Described in the Article:

1. Access FastRTC and Cloudflare Services:

   • Obtain a Hugging Face Access Token which provides 10GB of free data streaming per month.

2. Setup FastRTC and Cloudflare Integration:

   • Ensure you have the appropriate version of FastRTC (version 0.0.20 or above).
   • Install or upgrade FastRTC using Python:

     pip install --upgrade 'fastrtc[vad]'

3. Configure for Global TURN Network:

   • Use the Cloudflare TURN network by fetching credentials in your script:

     from fastrtc import ReplyOnPause, Stream, get_cloudflare_turn_credentials
     import os
     os.environ["HF_TOKEN"] = "<your-hf-token>"

4. Develop and Deploy Your Application:

   • Implement the streaming logic in your application, for example using an echo function for audio processing.
   • Launch your application script with Python, making use of the Cloudflare-managed service for scalability.

5. Resources for Additional Support:

   • Refer to the specified collections and the FastRTC Cookbook on Hugging Face for more implementation examples and detailed guidance.