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(Mono 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
// This example assumes the Chilkat API to have been previously unlocked. // See Global Unlock Sample for sample code. Chilkat.Http http = new Chilkat.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 // } Chilkat.JsonObject json = new Chilkat.JsonObject(); 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.AuthToken = "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"; http.SetRequestHeader("Content-Type","application/json"); Chilkat.HttpResponse resp = http.PostJson3("https://api.openai.com/v1/chat/completions","application/json",json); if (http.LastMethodSuccess == false) { Debug.WriteLine(http.LastErrorText); return; } Chilkat.StringBuilder sbResponseBody = new Chilkat.StringBuilder(); resp.GetBodySb(sbResponseBody); Chilkat.JsonObject jResp = new Chilkat.JsonObject(); jResp.LoadSb(sbResponseBody); jResp.EmitCompact = false; Debug.WriteLine("Response Body:"); Debug.WriteLine(jResp.Emit()); int respStatusCode = resp.StatusCode; Debug.WriteLine("Response Status Code = " + Convert.ToString(respStatusCode)); if (respStatusCode >= 400) { Debug.WriteLine("Response Header:"); Debug.WriteLine(resp.Header); Debug.WriteLine("Failed."); 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 string Role; string Content; string finish_reason; int index; string id = jResp.StringOf("id"); string v_object = jResp.StringOf("object"); int created = jResp.IntOf("created"); string 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.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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