Node.js

OpenAI (ChatGPT) Create Chat Completion

See more OpenAI ChatGPT Examples

Shows how to create a model response for a given chat conversation. Node.js

NODEJS_PRELUDE

function chilkatExample() {

    var success = false;

    //  This example assumes the Chilkat API to have been previously unlocked.
    //  See Global Unlock Sample for sample code.

    var http = new chilkat.Http();

    //  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 chilkat.JsonObject();
    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 chilkat.HttpResponse();
    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 chilkat.StringBuilder();
    resp.GetBodySb(sbResponseBody);

    var jResp = new chilkat.JsonObject();
    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;
    }


}

chilkatExample();