Make a request

1curl https://api.AiApiGiaRe.io/v1/chat/completions \
2  -H 'Content-Type: application/json' \
3  -H 'Authorization: Bearer YOUR_API_KEY' \
4  -d '{
5  "model": "gpt-3.5-turbo",
6  "messages": [{"role": "user", "content": "Say this is a test!"}],
7  "temperature": 0.7
8}'

1{
2   "id": "chatcmpl-abc123",
3   "object": "chat.completion",
4   "created": 1677858242,
5   "model": "gpt-3.5-turbo-0301",
6   "usage": {
7      "prompt_tokens": 13,
8      "completion_tokens": 7,
9      "total_tokens": 20
10   },
11   "choices": [
12      {
13         "message": {
14            "role": "assistant",
15            "content": "\n\nThis is a test!"
16         },
17         "finish_reason": "stop",
18         "index": 0
19      }
20   ]
21}

You can paste the following command into your terminal to run your first API request. Make sure to replace YOUR_API_KEY with your secret API key.

(Code extracted to sandbox)

This request queries the model to complete a text prompt starting with "Say this is a test" using the gpt-3.5-turbo model. You should receive a response similar to the following:

(Code extracted to sandbox)

Now you’ve generated your first chat completion. We can see that the finish_reason is stop, which means the API returned a complete response generated by the model. In the above request, we generated only one message, but you can configure the n parameter to generate multiple message options.

In this example, gpt-3.5-turbo is used primarily for traditional text completion tasks. The model is also optimized for chat-based applications.