Unicode C++
Unicode C++
OpenAI (ChatGPT) Simple Request
See more OpenAI ChatGPT Examples
Demonstrate a simple ChatGPT request with authentication using your OPENAI_API_KEY.Chilkat Unicode C++ Downloads
#include <CkHttpW.h>
#include <CkJsonObjectW.h>
#include <CkHttpResponseW.h>
#include <CkStringBuilderW.h>
void ChilkatSample(void)
{
bool success = false;
// This example assumes the Chilkat API to have been previously unlocked.
// See Global Unlock Sample for sample code.
CkHttpW http;
// Implements the following CURL command:
// curl https://api.openai.com/v1/chat/completions \
// -H "Content-Type: application/json" \
// -H "Authorization: Bearer $OPENAI_API_KEY" \
// -d '{
// "model": "gpt-3.5-turbo",
// "messages": [{"role": "user", "content": "Say this is a test!"}],
// "temperature": 0.7
// }'
// Use the following online tool to generate HTTP code from a CURL command
// Convert a cURL Command to HTTP Source Code
// Use this online tool to generate code from sample JSON:
// Generate Code to Create JSON
// The following JSON is sent in the request body.
// {
// "model": "gpt-3.5-turbo",
// "messages": [
// {
// "role": "user",
// "content": "Say this is a test!"
// }
// ],
// "temperature": 0.7
// }
CkJsonObjectW json;
json.UpdateString(L"model",L"gpt-3.5-turbo");
json.UpdateString(L"messages[0].role",L"user");
json.UpdateString(L"messages[0].content",L"Say this is a test!");
json.UpdateNumber(L"temperature",L"0.7");
// Adds the "Authorization: Bearer $OPENAI_API_KEY" header.
// This is NOT a real key. Change the "sk-vi...." to your own key.
http.put_AuthToken(L"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");
CkHttpResponseW resp;
success = http.HttpJson(L"POST",L"https://api.openai.com/v1/chat/completions",json,L"application/json",resp);
if (success == false) {
wprintf(L"%s\n",http.lastErrorText());
return;
}
CkStringBuilderW sbResponseBody;
resp.GetBodySb(sbResponseBody);
CkJsonObjectW jResp;
jResp.LoadSb(sbResponseBody);
jResp.put_EmitCompact(false);
wprintf(L"Response Body:\n");
wprintf(L"%s\n",jResp.emit());
int respStatusCode = resp.get_StatusCode();
wprintf(L"Response Status Code = %d\n",respStatusCode);
if (respStatusCode >= 400) {
wprintf(L"Response Header:\n");
wprintf(L"%s\n",resp.header());
wprintf(L"Failed.\n");
return;
}
// Sample JSON response:
// (Sample code for parsing the JSON response is shown below)
// {
// "id": "chatcmpl-abc123",
// "object": "chat.completion",
// "created": 1677858242,
// "model": "gpt-3.5-turbo-0301",
// "usage": {
// "prompt_tokens": 13,
// "completion_tokens": 7,
// "total_tokens": 20
// },
// "choices": [
// {
// "message": {
// "role": "assistant",
// "content": "\n\nThis is a test!"
// },
// "finish_reason": "stop",
// "index": 0
// }
// ]
// }
// Sample code for parsing the JSON response...
// Use the following online tool to generate parsing code from sample JSON:
// Generate Parsing Code from JSON
const wchar_t *Role = 0;
const wchar_t *Content = 0;
const wchar_t *finish_reason = 0;
int index;
const wchar_t *id = jResp.stringOf(L"id");
const wchar_t *v_object = jResp.stringOf(L"object");
int created = jResp.IntOf(L"created");
const wchar_t *model = jResp.stringOf(L"model");
int Prompt_tokens = jResp.IntOf(L"usage.prompt_tokens");
int Completion_tokens = jResp.IntOf(L"usage.completion_tokens");
int Total_tokens = jResp.IntOf(L"usage.total_tokens");
int i = 0;
int count_i = jResp.SizeOfArray(L"choices");
while (i < count_i) {
jResp.put_I(i);
Role = jResp.stringOf(L"choices[i].message.role");
Content = jResp.stringOf(L"choices[i].message.content");
finish_reason = jResp.stringOf(L"choices[i].finish_reason");
index = jResp.IntOf(L"choices[i].index");
i = i + 1;
}
}