How can I use my Playground-built Assistant in Python?

Below is an example of how you might use your assistant from Python using the OpenAI client library. The process works in two parts:

1. Create Your Assistant
   This step registers your assistant with the API and returns an object (including its unique ID). For example, you could write:

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from openai import OpenAI

client = OpenAI(api_key="YOUR_API_KEY")

assistant = client.beta.assistants.create(
    name="Math Tutor",
    instructions="You are a personal math tutor. Write and run code to answer math questions.",
    tools=[{"type": "code_interpreter"}],
    model="gpt-4o",
)

2. Interact With Your Assistant
   Once your assistant is created (note its ID in the returned object), you interact with it by sending messages through the API. While the details of the chat call depend on the endpoint and your application’s needs, a typical pattern is to pass your assistant’s ID along with your message. For example:

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response = client.beta.assistants.chat(
    assistant=assistant.id,  # use the id from the assistant object
    messages=[{"role": "user", "content": "What is 5+7?"}],
)

print(response)

In this code:

• Be sure you have installed the OpenAI Python client library.
• Replace "YOUR_API_KEY" with your actual API key.
• The assistant’s ID (accessed via assistant.id) is used to direct your conversation to the correct assistant.

That’s the basic workflow:

• Create the assistant (or reference the one you built)
• Use its ID to send messages to it

For additional details (such as handling responses or managing conversation context), refer to the OpenAI API documentation for Assistants.