PowerBuilder

OpenAI (ChatGPT) Create Chat Completion

See more OpenAI ChatGPT Examples

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

integer li_rc
integer li_Success
oleobject loo_Http
oleobject loo_Json
oleobject loo_Resp
oleobject loo_SbResponseBody
oleobject loo_JResp
integer li_RespStatusCode
integer li_Index
string ls_Role
string ls_Content
string ls_Finish_reason
string ls_Id
string ls_V_object
integer li_Created
integer li_Prompt_tokens
integer li_Completion_tokens
integer li_Total_tokens
integer i
integer li_Count_i

li_Success = 0

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

loo_Http = create oleobject
li_rc = loo_Http.ConnectToNewObject("Chilkat.Http")
if li_rc < 0 then
    destroy loo_Http
    MessageBox("Error","Connecting to COM object failed")
    return
end if

// 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!"
//     }
//   ]
// }

loo_Json = create oleobject
li_rc = loo_Json.ConnectToNewObject("Chilkat.JsonObject")

loo_Json.UpdateString("model","gpt-3.5-turbo")
loo_Json.UpdateString("messages[0].role","user")
loo_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.
loo_Http.AuthToken = "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"
loo_Http.SetRequestHeader("Content-Type","application/json")

loo_Resp = create oleobject
li_rc = loo_Resp.ConnectToNewObject("Chilkat.HttpResponse")

li_Success = loo_Http.HttpJson("POST","https://api.openai.com/v1/chat/completions",loo_Json,"application/json",loo_Resp)
if li_Success = 0 then
    Write-Debug loo_Http.LastErrorText
    destroy loo_Http
    destroy loo_Json
    destroy loo_Resp
    return
end if

loo_SbResponseBody = create oleobject
li_rc = loo_SbResponseBody.ConnectToNewObject("Chilkat.StringBuilder")

loo_Resp.GetBodySb(loo_SbResponseBody)

loo_JResp = create oleobject
li_rc = loo_JResp.ConnectToNewObject("Chilkat.JsonObject")

loo_JResp.LoadSb(loo_SbResponseBody)
loo_JResp.EmitCompact = 0

Write-Debug "Response Body:"
Write-Debug loo_JResp.Emit()

li_RespStatusCode = loo_Resp.StatusCode
Write-Debug "Response Status Code = " + string(li_RespStatusCode)
if li_RespStatusCode >= 400 then
    Write-Debug "Response Header:"
    Write-Debug loo_Resp.Header
    Write-Debug "Failed."
    destroy loo_Http
    destroy loo_Json
    destroy loo_Resp
    destroy loo_SbResponseBody
    destroy loo_JResp
    return
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

ls_Id = loo_JResp.StringOf("id")
ls_V_object = loo_JResp.StringOf("object")
li_Created = loo_JResp.IntOf("created")
li_Prompt_tokens = loo_JResp.IntOf("usage.prompt_tokens")
li_Completion_tokens = loo_JResp.IntOf("usage.completion_tokens")
li_Total_tokens = loo_JResp.IntOf("usage.total_tokens")
i = 0
li_Count_i = loo_JResp.SizeOfArray("choices")
do while i < li_Count_i
    loo_JResp.I = i
    li_Index = loo_JResp.IntOf("choices[i].index")
    ls_Role = loo_JResp.StringOf("choices[i].message.role")
    ls_Content = loo_JResp.StringOf("choices[i].message.content")
    ls_Finish_reason = loo_JResp.StringOf("choices[i].finish_reason")
    i = i + 1
loop


destroy loo_Http
destroy loo_Json
destroy loo_Resp
destroy loo_SbResponseBody
destroy loo_JResp