#Two clients in one session:
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To initialize two separate assistants in the same Flask app, you can indeed set up multiple instances of the OpenAI client, each with its own API key if needed. The error message you are encountering suggests that the API key is not being set correctly. You can set the API key using environment variables or directly in your code.
Here is an example of how you can set the API key using environment variables, which is a recommended practice for security reasons:
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Set the API Key as an Environment Variable:
You can set the
OPENAI_API_KEYenvironment variable in your operating system. Here is how you can do it for different systems:-
Windows:
setx OPENAI_API_KEY "your-api-key" -
Linux/MacOS (using bash):
echo "export OPENAI_API_KEY='your-api-key'" >> ~/.bash_profile source ~/.bash_profile -
Linux/MacOS (using zsh):
echo "export OPENAI_API_KEY='your-api-key'" >> ~/.zshrc source ~/.zshrc
Source: Best Practices for API Key Safety (https://help.openai.com/en/articles/5112595-best-practices-for-api-key-safety#h_a1ab3ba7b2)
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Initialize the OpenAI Client in Your Flask App:
In your Flask app, you can initialize the OpenAI client using the environment variable:
import os import openai # Initialize the first assistant openai.api_key = os.getenv("OPENAI_API_KEY") client1 = openai.OpenAI() # If you have a second API key, you can set it like this os.environ["OPENAI_API_KEY_2"] = 'your-second-api-key' openai.api_key = os.getenv("OPENAI_API_KEY_2") client2 = openai.OpenAI()This setup allows you to manage multiple assistants within the same application context by using different API keys if necessary.