Swift
Swift
OpenAI (ChatGPT) Create Chat Completion
See more OpenAI ChatGPT Examples
Shows how to create a model response for a given chat conversation.Chilkat Swift Downloads
func chilkatTest() {
var success: Bool = false
// This example assumes the Chilkat API to have been previously unlocked.
// See Global Unlock Sample for sample code.
let http = CkoHttp()!
// 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": "Hello!"}]
// }'
// 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": "Hello!"
// }
// ]
// }
let json = CkoJsonObject()!
json.updateString(jsonPath: "model", value: "gpt-3.5-turbo")
json.updateString(jsonPath: "messages[0].role", value: "user")
json.updateString(jsonPath: "messages[0].content", value: "Hello!")
// 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(name: "Content-Type", value: "application/json")
let resp = CkoHttpResponse()!
success = http.httpJson(verb: "POST", url: "https://api.openai.com/v1/chat/completions", json: json, contentType: "application/json", response: resp)
if success == false {
print("\(http.lastErrorText!)")
return
}
let sbResponseBody = CkoStringBuilder()!
resp.getBodySb(sb: sbResponseBody)
let jResp = CkoJsonObject()!
jResp.loadSb(sb: 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.")
return
}
// Sample JSON response:
// (Sample code for parsing the JSON response is shown below)
// {
// "id": "chatcmpl-123",
// "object": "chat.completion",
// "created": 1677652288,
// "choices": [
// {
// "index": 0,
// "message": {
// "role": "assistant",
// "content": "\n\nHello there, how may I assist you today?"
// },
// "finish_reason": "stop"
// }
// ],
// "usage": {
// "prompt_tokens": 9,
// "completion_tokens": 12,
// "total_tokens": 21
// }
// }
// 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 index: Int
var Role: String?
var Content: String?
var finish_reason: String?
var id: String? = jResp.string(of: "id")
var v_object: String? = jResp.string(of: "object")
var created: Int = jResp.int(of: "created").intValue
var Prompt_tokens: Int = jResp.int(of: "usage.prompt_tokens").intValue
var Completion_tokens: Int = jResp.int(of: "usage.completion_tokens").intValue
var Total_tokens: Int = jResp.int(of: "usage.total_tokens").intValue
var i: Int = 0
var count_i: Int = jResp.size(ofArray: "choices").intValue
while i < count_i {
jResp.i = i
index = jResp.int(of: "choices[i].index").intValue
Role = jResp.string(of: "choices[i].message.role")
Content = jResp.string(of: "choices[i].message.content")
finish_reason = jResp.string(of: "choices[i].finish_reason")
i = i + 1
}
}