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(JavaScript) OpenAI (ChatGPT) Create Chat Completion
Shows how to create a model response for a given chat conversation.For more information, see https://platform.openai.com/docs/api-reference/chat/create
var success = false;
// This example assumes the Chilkat API to have been previously unlocked.
// See Global Unlock Sample for sample code.
var http = new CkHttp();
// 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!"
// }
// ]
// }
var json = new CkJsonObject();
json.UpdateString("model","gpt-3.5-turbo");
json.UpdateString("messages[0].role","user");
json.UpdateString("messages[0].content","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("Content-Type","application/json");
var resp = new CkHttpResponse();
success = http.HttpJson("POST","https://api.openai.com/v1/chat/completions",json,"application/json",resp);
if (success == false) {
console.log(http.LastErrorText);
return;
}
var sbResponseBody = new CkStringBuilder();
resp.GetBodySb(sbResponseBody);
var jResp = new CkJsonObject();
jResp.LoadSb(sbResponseBody);
jResp.EmitCompact = false;
console.log("Response Body:");
console.log(jResp.Emit());
var respStatusCode = resp.StatusCode;
console.log("Response Status Code = " + respStatusCode);
if (respStatusCode >= 400) {
console.log("Response Header:");
console.log(resp.Header);
console.log("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;
var Role;
var Content;
var finish_reason;
var id = jResp.StringOf("id");
var v_object = jResp.StringOf("object");
var created = jResp.IntOf("created");
var Prompt_tokens = jResp.IntOf("usage.prompt_tokens");
var Completion_tokens = jResp.IntOf("usage.completion_tokens");
var Total_tokens = jResp.IntOf("usage.total_tokens");
var i = 0;
var count_i = jResp.SizeOfArray("choices");
while (i < count_i) {
jResp.I = i;
index = jResp.IntOf("choices[i].index");
Role = jResp.StringOf("choices[i].message.role");
Content = jResp.StringOf("choices[i].message.content");
finish_reason = jResp.StringOf("choices[i].finish_reason");
i = i+1;
}
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