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Announcement

Python on Vercel is now generally available

Python is now a first-class language and runtime on Vercel, enabling you to build APIs, full-stack applications, and AI agents with native Python SDKs alongside JavaScript frontends in a unified deployment workflow. Vercel provides automatic framework support for FastAPI, Flask, and Django, plus SDKs for building agents, orchestrating workflows, and running isolated workloads.

is now a first-class language and runtime on Vercel. Build APIs, full-stack applications, and AI agents with native Python SDKs and a shared development and deployment workflow for your Python backend and JavaScript frontend.Python

Vercel handles the infrastructure so you can focus on your application:

Within your application, Python SDKs let you build agents, run untrusted code, and orchestrate durable workflows.

Use the SDKs individually or combine them in the same Python application.

For full-stack applications, allows you to deploy your frontend and backends together in one project, with shared previews and atomic deployments and rollbacks. Within that project, you can view logs by service and connect backends privately through service bindings.Vercel Services

For a frontend in and a FastAPI defined in , add this at the repository root.frontend/appbackend/main.pyvercel.toml

Requests under reach matching FastAPI routes with the path unchanged, while other requests reach the frontend. Run both services locally with , then deploy them together from the same repository./api/vercel dev

Read the to get started.Python documentation

Read more

Python framework and runtime support

Native Python SDKs

Your frontend and backend, together

  • FastAPI, Flask, and Django applications are automatically recognized and configured, with framework-specific support for serving static assets through the Vercel CDN.Automatic framework support:

  • Vercel runs CPython on Linux and supports and for dependency management.Native Python runtime and tooling:uvpyproject.toml

  • Scale request-driven applications with Fluid compute and run long-running pull-based workloads with Vercel Daemons.Compute for APIs and workers:

  • : Give your application or agent an isolated Linux VM on demand.Sandbox

  • (Beta): Generate or stream model responses and call tools. Get started with .AI SDK for Pythonuv add ai

  • (Beta): Persist execution state and retry failed workflow steps.Workflow SDK for Python

  • (Beta): Send and receive messages for background work.Queues

  • : Obtain credentials for calling external APIs.Connect

  • : Upload and retrieve files in object storage.Blob

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