Workers

We are introducing a brand new tool called Pywrangler, which simplifies package management in Python Workers by automatically installing Workers-compatible Python packages into your project. With Pywrangler, you specify your Worker's Python dependencies in your pyproject.toml file: [project]name = "python-beautifulsoup-worker"version…

Workers applications now use reusable Cloudflare Access policies to reduce duplication and simplify access management across multiple Workers. Previously, enabling Cloudflare Access on a Worker created per-application policies, unique to each application. Now, we create reusable policies that can be…

Wrangler now supports using the CLOUDFLARE_ENV environment variable to select the active environment for your Worker commands. This provides a more flexible way to manage environments, especially when working with build tools and CI/CD pipelines. What's new Environment selection via…

Workers Builds now supports up to 64 environment variables, and each environment variable can be up to 5 KB in size. The previous limit was 5 KB total across all environment variables. This change enables better support for complex build…

Until now, if a Worker had been previously deployed via the Cloudflare Dashboard, a subsequent deployment done via the Cloudflare Workers CLI, Wrangler (through the deploy command), would allow the user to override the Worker's dashboard settings without providing details…

Enable automatic tracing on your Workers, giving you detailed metadata and timing information for every operation your Worker performs. Tracing helps you identify performance bottlenecks, resolve errors, and understand how your Worker interacts with other services on the Workers platform.…