deploy-chalk-function
How to deploy a chalk function ("chalkcompute.function"). Useful for deploying a stand-alone python function in Chalk's container infrastructure. Use when someone wants to run a python function remotely on Chalk, deploy a chalkcompute function, or asks about the chalkcompute SDK.
How do I install this agent skill?
npx skills add https://github.com/chalk-ai/chalk-ai-plugins --skill deploy-chalk-functionIs this agent skill safe to install?
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This skill provides documentation and examples for deploying Python functions to Chalk's infrastructure using the chalkcompute SDK. It covers dependency management, decorator usage, and required environment variables for authentication.
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What does this agent skill do?
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.
#!/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.functionmust be called —@chalkcompute.function()(keyword-only args). Bare@chalkcompute.functionraisesTypeError: 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" }
How can the creator link this skill?
Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.
<a href="https://skillzs.dev/skills/chalk-ai/chalk-ai-plugins/deploy-chalk-function">View deploy-chalk-function on skillZs</a>