chalk-ai/chalk-ai-plugins

deploy-chalk-function

How to deploy a chalk function ("chalkcompute.function").

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How to use

  1. Copy the installation command and review the source package before installing it in your own agent environment.
  2. Check the source document for required tools, credentials and supported hosts.
  3. Describe your input and desired deliverable; review the output against the source material.
npx skills add https://github.com/chalk-ai/chalk-ai-plugins --skill deploy-chalk-function

Before you start

  • Installation does not include a model subscription, API allowance or permission to access your files.
  • Repository stars and installation counts describe activity, not an independent quality or security test.
Original skill document

Rendered from the source repository. Headings, examples, code, tables, links, and referenced images are preserved.

Deploy a Chalk function

Make a python file that uses the chalkcompute package (PyPI name is chalkcompute, not chalk-sandbox-sdk). Use a uv shebang. Pin Python to <3.14 because a transitive Rust dep (chalk-remote-call-python) builds against PyO3 which currently maxes out at 3.13.

py
#!/usr/bin/env -S uv run --script
#
# /// script
# requires-python = ">=3.12,<3.14"
# dependencies = ["chalkcompute"]
# ///

import chalkcompute


@chalkcompute.function()
def some_function(arg_1: str) -> str:
    return f"hi {arg_1}"


if __name__ == "__main__":
    print(some_function("world"))

Notes:

  • @chalkcompute.function must be called — @chalkcompute.function() (keyword-only args). Bare @chalkcompute.function raises TypeError: function() takes 0 positional arguments but 1 was given.
  • The decorator deploys the function at import time (builds image, uploads, registers).
  • Calling the decorated function (some_function("world")) invokes it remotely and returns the result.

Required env vars

The SDK reads creds from env, not from chalk CLI config. The env var is CHALK_ENVIRONMENT_ID, not CHALK_ENVIRONMENT.

CHALK_API_SERVER
CHALK_CLIENT_ID
CHALK_CLIENT_SECRET
CHALK_ENVIRONMENT_ID

You can read these out of chalk config output for the current project. Example invocation:

CHALK_API_SERVER=... CHALK_CLIENT_ID=... CHALK_CLIENT_SECRET=... CHALK_ENVIRONMENT_ID=... ./your_script.py

Without CHALK_ENVIRONMENT_ID you'll get a permission_denied error from CustomImageService.GetOrBuildCustomImage even though CHALK_CLIENT_ID/CHALK_CLIENT_SECRET are valid.

Local SDK source

If chalkcompute isn't on the configured index (e.g. the script can't resolve chalkcompute from PyPI), point uv at a local checkout of chalk-sandbox-sdk:

# [tool.uv.sources]
# chalkcompute = { path = "/path/to/chalk-sandbox-sdk" }

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