fal run

Usage: fal run [-h] [--team TEAM] [--no-cache] [--app-name APP_NAME]
               [--auth AUTH] [--env ENV] [--local]
               [--exposed-port PORT] [--exposed-metrics-port PORT]
               [--machine-type MACHINE_TYPE]
               [--limit-max-requests LIMIT_MAX_REQUESTS]
               func_ref

Run fal function.

Positional Arguments:
  func_ref              Function reference. Configure team in pyproject.toml for app names.

Options:
  -h, --help            show this help message and exit
  --team TEAM           The team to use.
  --no-cache            Do not use the cache for the environment build.
  --app-name APP_NAME   Application name to run with.
  --auth AUTH           Application authentication mode (private, public, shared), defaults to public.
  --env ENV             Target environment (defaults to main).
  --local               Run locally without serverless.
  --exposed-port PORT   Port for the --local app server (default: 8080).
  --exposed-metrics-port PORT
                        Port for the --local metrics server (default: 9090).
  --machine-type MACHINE_TYPE
                        Machine type to use for this run.
  --limit-max-requests LIMIT_MAX_REQUESTS
                        For fal.App runs, gracefully stop the server after serving N requests.

Examples:
  fal run path/to/myfile.py::myfunc
  fal run path/to/myfile.py::myfunc --env staging
  fal run path/to/myfile.py::MyApp --auth private
  fal run path/to/myfile.py::MyApp --local
  fal run path/to/myfile.py::MyApp --machine-type GPU-A100