C++
C++
OpenAI (ChatGPT) Simple Request
See more OpenAI ChatGPT Examples
Demonstrate a simple ChatGPT request with authentication using your OPENAI_API_KEY.Chilkat C++ Downloads
#include <CkHttp.h>
#include <CkJsonObject.h>
#include <CkHttpResponse.h>
#include <CkStringBuilder.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.
CkHttp 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
// }
CkJsonObject json;
json.UpdateString("model","gpt-3.5-turbo");
json.UpdateString("messages[0].role","user");
json.UpdateString("messages[0].content","Say this is a test!");
json.UpdateNumber("temperature","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("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");
CkHttpResponse resp;
success = http.HttpJson("POST","https://api.openai.com/v1/chat/completions",json,"application/json",resp);
if (success == false) {
std::cout << http.lastErrorText() << "\r\n";
return;
}
CkStringBuilder sbResponseBody;
resp.GetBodySb(sbResponseBody);
CkJsonObject jResp;
jResp.LoadSb(sbResponseBody);
jResp.put_EmitCompact(false);
std::cout << "Response Body:" << "\r\n";
std::cout << jResp.emit() << "\r\n";
int respStatusCode = resp.get_StatusCode();
std::cout << "Response Status Code = " << respStatusCode << "\r\n";
if (respStatusCode >= 400) {
std::cout << "Response Header:" << "\r\n";
std::cout << resp.header() << "\r\n";
std::cout << "Failed." << "\r\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 char *Role = 0;
const char *Content = 0;
const char *finish_reason = 0;
int index;
const char *id = jResp.stringOf("id");
const char *v_object = jResp.stringOf("object");
int created = jResp.IntOf("created");
const char *model = jResp.stringOf("model");
int Prompt_tokens = jResp.IntOf("usage.prompt_tokens");
int Completion_tokens = jResp.IntOf("usage.completion_tokens");
int Total_tokens = jResp.IntOf("usage.total_tokens");
int i = 0;
int count_i = jResp.SizeOfArray("choices");
while (i < count_i) {
jResp.put_I(i);
Role = jResp.stringOf("choices[i].message.role");
Content = jResp.stringOf("choices[i].message.content");
finish_reason = jResp.stringOf("choices[i].finish_reason");
index = jResp.IntOf("choices[i].index");
i = i + 1;
}
}