Custom GPT: Send Authentication Cookies

I am creating a GPT that will interact with an API. When it uses that API, I want to send cookies along with the API key. I can get the API key portion working, but the GPT does not seem to send cookies. In my case, the cookies are user-specific authentication cookies.

If this does not work today, are there any alternative approaches?

Tried to return the user authentication information in JSON rather than the HTTP Cookie header. My thinking was that perhaps GPT cannot persist nor set the cookie header.

But that approach of persisting information received in responses and then re-using that in requests does not work either, at least for me. No amount of instructions or schema documentation works.

Written by ChatGPT-4

It sounds like you are trying to integrate a GPT model with an API, and you’re encountering challenges with handling cookies, specifically user authentication cookies. Here’s some guidance on how to approach this:

  1. GPT Model Limitations: First, it’s important to understand that GPT models, like ChatGPT, do not have the capability to directly handle HTTP requests, cookies, or manage sessions. They operate purely on the text input they receive and generate text output based on that. They do not have the ability to maintain state or persist data across interactions.
  2. Handling Cookies and API Keys: Since GPT itself can’t handle cookies or API keys, you need to manage these on the client-side or in the middleware that interacts with both the GPT model and your target API. This middleware can be a server or a script in a language like Python, JavaScript, etc.
  3. Middleware Approach:
  • API Interaction: Your middleware should handle the API requests and responses. It will send requests to the API, including the necessary headers (like API keys and cookies).
  • State Management: The middleware can manage user sessions and persist cookies or other necessary data. This way, each user’s interaction remains distinct and secure.
  • Communicating with GPT: The middleware will send user inputs to the GPT model and receive the model’s responses. It then processes these responses as needed before sending them back to the user or to the API.
  1. Alternative to Cookies: If using cookies is problematic, consider other authentication methods like OAuth tokens, JWTs (JSON Web Tokens), or API keys. These can often be easier to manage programmatically and are widely used in API integrations.
  2. Security Considerations: Ensure that user data, especially authentication data, is handled securely. Use HTTPS for all communications, and be cautious about how and where you store sensitive information.
  3. Testing and Debugging: Thoroughly test the middleware and its interactions with both the GPT model and your API. Logging can be particularly helpful to understand where the process might be failing.

In your situation, where persisting information received in responses and then re-using that in requests does not work, it’s essential to debug the middleware to see why it’s not maintaining the state or why the GPT model isn’t using the provided information correctly. Check if the middleware correctly captures and forwards the necessary data to the GPT model and if it properly formats the responses.

Remember, the GPT model is just one part of the system. The handling of cookies, API keys, and session management needs to be implemented externally.

Human answer… The OpenAI API cannot set web cookies…

I figured this out. Instead of sending cookies for authentication, which is explicitly prohibited if declared in the OpenAPI schema, I am using query parameters for authentication which works fine with GPT.