Install the required dependencies

pip install openai freestyle

Get your Freestyle API Key from the Freestyle Dashboard

Set up the Code Executor

The simplest code executor looks like this:

import os
from freestyle.openai import execute_tool

(definition, runner) = freestyle.openai.execute_tool(
    os.environ.get("FREESTYLE_API_KEY"),
)

Adding Node Modules

When you want your AI code execution to have access to specific node modules, you can pass them in through the configuration parameter:

import os
from freestyle.openai import execute_tool
import freestyle

(definition, runner) = freestyle.openai.execute_tool(
    os.environ.get("FREESTYLE_API_KEY"),
    freestyle.FreestyleExecuteScriptParamsConfiguration(
        nodeModules={"mathjs": "14.3.1"}
    ),
  )

Adding Environment Variables

You can also pass in environment variables that your AI code execution will have access to:

import os
from freestyle.openai import execute_tool
import freestyle

(definition, runner) = freestyle.openai.execute_tool(
    os.environ.get("FREESTYLE_API_KEY"),
    freestyle.FreestyleExecuteScriptParamsConfiguration(
        envVars={"RESEND_API_KEY": os.environ.get("RESEND_API_KEY")}
        nodeModules={"resend":"4.1.2"}
    ),
  )

Other Configuration Options

timeout: The maximum time in seconds that the code execution is allowed to run.
networkPermissions: A list of URLs that the code execution is allowed to access.
peerDependencyResolution: Configure if peer dependencies should be resolved — do not use this unless you know what you are doing.

Set up the OpenAI Python SDK

  import openai

  client = openai.OpenAI(
      api_key=os.environ.get("OPENAI_API_KEY"),
  )

  query = "What is the sum of every number from 50 to 65 divided by 17"
  messages = [{"role": "user", "content": query}]

  res = client.chat.completions.create(
      model="gpt-4-turbo", messages=messages, tools=[definition]
  )

  result = runner(res.choices[0].message)

The definition and runner variables are from the code executor setup. The definition is an OpenAI compatible tool definition, and the runner is a function that takes in an OpenAI Compatible Model response and returns the output of the code execution if there is one. Runner is made to be called on every response from the OpenAI model, if there is no code execution then it returns None and does nothing.