(Visual FoxPro) OpenAI (ChatGTP) Simple Request

See more OpenAI ChatGPT Examples

Demonstrate a simple ChatGPT request with authentication using your OPENAI_API_KEY.

For more information, see https://platform.openai.com/docs/api-reference/making-requests

Chilkat ActiveX Downloads ActiveX for 32-bit and 64-bit Windows

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

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

* For versions of Chilkat < 10.0.0, use CreateObject('Chilkat_9_5_0.Http')
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": "Say this is a test!"}],
*      "temperature": 0.7
*    }'

* 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": "Say this is a test!"
*     }
*   ],
*   "temperature": 0.7
* }

* For versions of Chilkat < 10.0.0, use CreateObject('Chilkat_9_5_0.JsonObject')
loJson = CreateObject('Chilkat.JsonObject')
loJson.UpdateString("model","gpt-3.5-turbo")
loJson.UpdateString("messages[0].role","user")
loJson.UpdateString("messages[0].content","Say this is a test!")
loJson.UpdateNumber("temperature","0.7")

* 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 = loHttp.PostJson3("https://api.openai.com/v1/chat/completions","application/json",loJson)
IF (loHttp.LastMethodSuccess = 0) THEN
    ? loHttp.LastErrorText
    RELEASE loHttp
    RELEASE loJson
    CANCEL
ENDIF

* For versions of Chilkat < 10.0.0, use CreateObject('Chilkat_9_5_0.StringBuilder')
loSbResponseBody = CreateObject('Chilkat.StringBuilder')
loResp.GetBodySb(loSbResponseBody)

* For versions of Chilkat < 10.0.0, use CreateObject('Chilkat_9_5_0.JsonObject')
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 loResp
    RELEASE loHttp
    RELEASE loJson
    RELEASE loSbResponseBody
    RELEASE loJResp
    CANCEL
ENDIF

RELEASE loResp

* Sample JSON response:
* (Sample code for parsing the JSON response is shown below)

* {
*   "id": "chatcmpl-abc123",
*   "object": "chat.completion",
*   "created": 1677858242,
*   "model": "gpt-3.5-turbo-0301",
*   "usage": {
*     "prompt_tokens": 13,
*     "completion_tokens": 7,
*     "total_tokens": 20
*   },
*   "choices": [
*     {
*       "message": {
*         "role": "assistant",
*         "content": "\n\nThis is a test!"
*       },
*       "finish_reason": "stop",
*       "index": 0
*     }
*   ]
* }

* 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")
lcModel = loJResp.StringOf("model")
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
    lcRole = loJResp.StringOf("choices[i].message.role")
    lcContent = loJResp.StringOf("choices[i].message.content")
    lcFinish_reason = loJResp.StringOf("choices[i].finish_reason")
    lnIndex = loJResp.IntOf("choices[i].index")
    i = i + 1
ENDDO

RELEASE loHttp
RELEASE loJson
RELEASE loSbResponseBody
RELEASE loJResp