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(C++) OpenAI (ChatGTP) Simple RequestSee more OpenAI ChatGPT ExamplesDemonstrate a simple ChatGPT request with authentication using your OPENAI_API_KEY. For more information, see https://platform.openai.com/docs/api-reference/making-requests
#include <CkHttp.h> #include <CkJsonObject.h> #include <CkHttpResponse.h> #include <CkStringBuilder.h> void ChilkatSample(void) { // This example assumes the Chilkat API to have been previously unlocked. // See Global Unlock Sample for sample code. CkHttp http; bool success; // 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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"); http.SetRequestHeader("Content-Type","application/json"); CkHttpResponse *resp = http.PostJson3("https://api.openai.com/v1/chat/completions","application/json",json); if (http.get_LastMethodSuccess() == 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"; delete resp; return; } delete resp; // 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; } } |
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