Visual FoxPro

OpenAI (ChatGPT) Create Chat Completion

See more OpenAI ChatGPT Examples

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

LOCAL lnSuccess
LOCAL loHttp
LOCAL loJson
LOCAL loResp
LOCAL loSbResponseBody
LOCAL loJResp
LOCAL lnRespStatusCode
LOCAL lnIndex
LOCAL lcRole
LOCAL lcContent
LOCAL lcFinish_reason
LOCAL lcId
LOCAL lcV_object
LOCAL lnCreated
LOCAL lnPrompt_tokens
LOCAL lnCompletion_tokens
LOCAL lnTotal_tokens
LOCAL i
LOCAL lnCount_i

lnSuccess = 0

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

loHttp = 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!"
*     }
*   ]
* }

loJson = CreateObject('Chilkat.JsonObject')
loJson.UpdateString("model","gpt-3.5-turbo")
loJson.UpdateString("messages[0].role","user")
loJson.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.
loHttp.AuthToken = "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"
loHttp.SetRequestHeader("Content-Type","application/json")

loResp = CreateObject('Chilkat.HttpResponse')
lnSuccess = loHttp.HttpJson("POST","https://api.openai.com/v1/chat/completions",loJson,"application/json",loResp)
IF (lnSuccess = 0) THEN
    ? loHttp.LastErrorText
    RELEASE loHttp
    RELEASE loJson
    RELEASE loResp
    CANCEL
ENDIF

loSbResponseBody = CreateObject('Chilkat.StringBuilder')
loResp.GetBodySb(loSbResponseBody)

loJResp = CreateObject('Chilkat.JsonObject')
loJResp.LoadSb(loSbResponseBody)
loJResp.EmitCompact = 0

? "Response Body:"
? loJResp.Emit()

lnRespStatusCode = loResp.StatusCode
? "Response Status Code = " + STR(lnRespStatusCode)
IF (lnRespStatusCode >= 400) THEN
    ? "Response Header:"
    ? loResp.Header
    ? "Failed."
    RELEASE loHttp
    RELEASE loJson
    RELEASE loResp
    RELEASE loSbResponseBody
    RELEASE loJResp
    CANCEL
ENDIF

* 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

lcId = loJResp.StringOf("id")
lcV_object = loJResp.StringOf("object")
lnCreated = loJResp.IntOf("created")
lnPrompt_tokens = loJResp.IntOf("usage.prompt_tokens")
lnCompletion_tokens = loJResp.IntOf("usage.completion_tokens")
lnTotal_tokens = loJResp.IntOf("usage.total_tokens")
i = 0
lnCount_i = loJResp.SizeOfArray("choices")
DO WHILE i < lnCount_i
    loJResp.I = i
    lnIndex = loJResp.IntOf("choices[i].index")
    lcRole = loJResp.StringOf("choices[i].message.role")
    lcContent = loJResp.StringOf("choices[i].message.content")
    lcFinish_reason = loJResp.StringOf("choices[i].finish_reason")
    i = i + 1
ENDDO

RELEASE loHttp
RELEASE loJson
RELEASE loResp
RELEASE loSbResponseBody
RELEASE loJResp