matlab.net vs webwrite

11 vues (au cours des 30 derniers jours)
Sergio Oliveira
Sergio Oliveira le 22 Mai 2023
Modifié(e) : Hans Scharler le 15 Sep 2023
Why the function not commented works perfectly, but the function commented always returns error 401 ?
Both use the same <API_KEY>
function [result,tokens] = getGPT4Response(content)
import matlab.net.*
import matlab.net.http.*
% Define the API endpoint
api_endpoint = "https://api.openai.com/v1/chat/completions";
% Define the API key from https://beta.openai.com/account/api-keys
api_key = "<API_KEY>";
data = jsondecode('{"model":"gpt-3.5-turbo","messages":[{"role":"system","content":"You are an assistant."},{"role":"user","content":"'+content+'"}]}');
% Define the headers for the API request
headers(1) = matlab.net.http.HeaderField('Content-Type', 'application/json');
headers(2) = matlab.net.http.HeaderField('Authorization', 'Bearer ' + api_key);
% Define the request message
request = matlab.net.http.RequestMessage('post',headers,data);
% Send the request and store the response
response = send(request, URI(api_endpoint));
% Extract the response text
result = response.Body.Data.choices.message.content;
tokens = response.Body.Data.usage;
end
%**********************************************************************************************************
% function response = getGPT4Response(prompt)
% % Define the API endpoint
% url = 'https://api.openai.com/v1/chat/completions'; % Replace with the actual GPT-4 API endpoint when available
%
% % Define the headers
% headers = ["Content-Type:", "application/json"; "Authorization:", "<API_KEY>"];
%
% % Define the data
% message = containers.Map({'role', 'content'}, {'user', prompt});
% data = containers.Map({'model', 'messages'}, {'gpt-3.5-turbo', {message}});
%
% % Convert the data to JSON
% data = jsonencode(data);
%
% % Send the POST request
% options = weboptions('RequestMethod', 'post', 'HeaderFields', headers, 'MediaType', 'application/json');
% response = webwrite(url, data, options);
%
% % Parse the response
% response = jsondecode(response);
%
% % Extract the text
% response = response.choices.text;
% end
%

Réponse acceptée

Hans Scharler
Hans Scharler le 15 Sep 2023
Modifié(e) : Hans Scharler le 15 Sep 2023
There were three issues with the commented function.
  1. When you use headers for webwrite you do not have to include the ":" in the header label.
  2. The Authorization header needs the word "Bearer" infront of the API Key.
  3. webwrite returns an object not JSON.
Here's a working version of the function addressing the issues.
function response = getGPT4Response(prompt)
% Define the API endpoint
url = 'https://api.openai.com/v1/chat/completions';
% Define the headers
headers = ["Content-Type", "application/json"; "Authorization", "Bearer <API_KEY>"];
% Define the data
message = containers.Map({'role', 'content'}, {'user', prompt});
data = containers.Map({'model', 'messages'}, {'gpt-3.5-turbo', {message}});
% Convert the data to JSON
data = jsonencode(data);
% Send the POST request
options = weboptions('RequestMethod', 'post', 'HeaderFields', headers);
response = webwrite(url, data, options);
% Return the response
response = response.choices.message.content;
end
Let me know if you get tihs working.

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