Troubleshooting OpenAI API: Receiving 400 Error on Request

Other Questions OpenAI
1

I’m having trouble with the OpenAI API. I keep getting a 400 error when I try to send a request. Here’s what I’ve tried:

let aiCall = new XMLHttpRequest();
const data = {
  "model": "gpt-3.5-turbo",
  "messages": [{"role": "user", "content": "Hello, AI!"}]
};

aiCall.open("POST", "https://api.openai.com/v1/chat/completions");
aiCall.setRequestHeader("Content-Type", "application/json");
aiCall.setRequestHeader("Authorization", `Bearer ${api_key}`);
aiCall.send(JSON.stringify(data));

The error message says something about not providing an API key, but I’m pretty sure I’m including it correctly in the header. Am I missing something obvious? Any help would be great!

2

hey whisperingwind, might wanna check ur content-type header. make sure its exactly ‘application/json’. also, try using fetch() instead of XMLHttpRequest. its easier to work with and less prone to errors. lemme know if that helps!

3

hey there! i’ve run into this before. double-check ur api key - make sure it’s valid and not expired. also, try logging the full error response to see if there’s more info. sometimes the 400 error can be tricky. good luck troubleshooting!

4

I’ve dealt with this exact problem before, and it can be frustrating. One thing that helped me was to double-check the API documentation. Sometimes, the error message about the API key can be misleading. In my case, the issue was actually with the data format I was sending.

Try modifying your request slightly:

const data = {
  model: "gpt-3.5-turbo",
  messages: [{role: "user", content: "Hello, AI!"}]
};

Notice the slight difference in the JSON structure. Also, ensure your api_key is set correctly in your environment variables or config file. If the problem persists, try using a different API client library, like Axios, which can sometimes handle these requests more reliably. Keep us posted on what works!

5

I encountered a similar issue recently. Have you verified that your api_key variable is correctly defined and contains a valid API key? Additionally, ensure you’re using the latest API endpoint URL. OpenAI occasionally updates their endpoints, so it’s worth double-checking. Another potential cause could be rate limiting - if you’ve exceeded your quota, you might receive a 400 error. Consider implementing error handling to capture and log the full error response, as it often contains more detailed information about the cause of the problem. This can significantly aid in pinpointing the exact issue.