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(Swift 2) 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
func chilkatTest() { // This example assumes the Chilkat API to have been previously unlocked. // See Global Unlock Sample for sample code. let http = CkoHttp() var success: Bool // 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 // } let json = CkoJsonObject() json.UpdateString("model", value: "gpt-3.5-turbo") json.UpdateString("messages[0].role", value: "user") json.UpdateString("messages[0].content", value: "Say this is a test!") json.UpdateNumber("temperature", numericStr: "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", value: "application/json") var resp: CkoHttpResponse? = http.PostJson3("https://api.openai.com/v1/chat/completions", contentType: "application/json", json: json) if http.LastMethodSuccess == false { print("\(http.LastErrorText)") return } let sbResponseBody = CkoStringBuilder() resp!.GetBodySb(sbResponseBody) let jResp = CkoJsonObject() jResp.LoadSb(sbResponseBody) jResp.EmitCompact = false print("Response Body:") print("\(jResp.Emit())") var respStatusCode: Int = resp!.StatusCode.intValue print("Response Status Code = \(respStatusCode)") if respStatusCode >= 400 { print("Response Header:") print("\(resp!.Header)") print("Failed.") resp = nil return } resp = nil // 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 var Role: String? var Content: String? var finish_reason: String? var index: Int var id: String? = jResp.StringOf("id") var v_object: String? = jResp.StringOf("object") var created: Int = jResp.IntOf("created").intValue var model: String? = jResp.StringOf("model") var Prompt_tokens: Int = jResp.IntOf("usage.prompt_tokens").intValue var Completion_tokens: Int = jResp.IntOf("usage.completion_tokens").intValue var Total_tokens: Int = jResp.IntOf("usage.total_tokens").intValue var i: Int = 0 var count_i: Int = jResp.SizeOfArray("choices").intValue 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").intValue i = i + 1 } } |
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