Avoiding API Key Confusion: Best Practices for Handling Multiple User Requests

Securely Handling Multiple User Requests with Different OpenAI API Keys

I process multiple user requests with different OpenAI API keys and want to prevent the potential threat of global API key variable overwriting. How should I proceed to ensure that different API keys do not get mixed up?

Here are the specific concerns:

  • I want to avoid the risk of overwriting or mixing up different OpenAI API keys while processing user requests.
  • I'm currently considering setting the OpenAI API key variable inside the processing function, just before obtaining the API response, as shown in this example:

import openai
def process_user_request(api_key, user_input):
		openai.api_key = api_key
		# Process the user request using the specified API key
		response = openai.Completion.create(engine='davinci', prompt=user_input)
		# Process the response and return the result
api_key_1 = "API_KEY_1"
api_key_2 = "API_KEY_2"
user_input_1 = "User request with API key 1"
user_input_2 = "User request with API key 2"
process_user_request(api_key_1, user_input_1)
process_user_request(api_key_2, user_input_2) 

Is setting the OpenAI API key variable inside the processing function an effective approach to mitigate the risk of mixing up API keys? Or is there a better way, ideally something like sending the API key as a parameter within each API request?

Additionally, I would like to understand OpenAI's stance on Bring Your Own Key (BYOK) and whether storing the API keys on the server side is allowed or if they should not be stored at all. Could you provide clarity on this matter?

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