Classic ASP
OpenAI (ChatGPT) Create Chat Completion

Shows how to create a model response for a given chat conversation.
Chilkat Classic ASP Downloads

Classic ASP
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<meta http-equiv="Content-Type" content="text/html; charset=utf-8">
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<%
success = 0

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

set http = Server.CreateObject("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!"
'      }
'    ]
'  }

set json = Server.CreateObject("Chilkat.JsonObject")
success = json.UpdateString("model","gpt-3.5-turbo")
success = json.UpdateString("messages[0].role","user")
success = 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"

set resp = Server.CreateObject("Chilkat.HttpResponse")
success = http.HttpJson("POST","https://api.openai.com/v1/chat/completions",json,"application/json",resp)
If (success = 0) Then
    Response.Write "<pre>" & Server.HTMLEncode( http.LastErrorText) & "</pre>"
    Response.End
End If

set sbResponseBody = Server.CreateObject("Chilkat.StringBuilder")
success = resp.GetBodySb(sbResponseBody)

set jResp = Server.CreateObject("Chilkat.JsonObject")
success = jResp.LoadSb(sbResponseBody)
jResp.EmitCompact = 0

Response.Write "<pre>" & Server.HTMLEncode( "Response Body:") & "</pre>"
Response.Write "<pre>" & Server.HTMLEncode( jResp.Emit()) & "</pre>"

respStatusCode = resp.StatusCode
Response.Write "<pre>" & Server.HTMLEncode( "Response Status Code = " & respStatusCode) & "</pre>"
If (respStatusCode >= 400) Then
    Response.Write "<pre>" & Server.HTMLEncode( "Response Header:") & "</pre>"
    Response.Write "<pre>" & Server.HTMLEncode( resp.Header) & "</pre>"
    Response.Write "<pre>" & Server.HTMLEncode( "Failed.") & "</pre>"
    Response.End
End If

'  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

id = jResp.StringOf("id")
v_object = jResp.StringOf("object")
created = jResp.IntOf("created")
Prompt_tokens = jResp.IntOf("usage.prompt_tokens")
Completion_tokens = jResp.IntOf("usage.completion_tokens")
Total_tokens = jResp.IntOf("usage.total_tokens")
i = 0
count_i = jResp.SizeOfArray("choices")
Do 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
Loop

%>
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