Lianja

OpenAI (ChatGPT) Simple Request

See more OpenAI ChatGPT Examples

Demonstrate a simple ChatGPT request with authentication using your OPENAI_API_KEY. Lianja

llSuccess = .F.

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

loHttp = createobject("CkHttp")

// 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
// }

loJson = createobject("CkJsonObject")
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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"

loResp = createobject("CkHttpResponse")
llSuccess = loHttp.HttpJson("POST","https://api.openai.com/v1/chat/completions",loJson,"application/json",loResp)
if (llSuccess = .F.) then
    ? loHttp.LastErrorText
    release loHttp
    release loJson
    release loResp
    return
endif

loSbResponseBody = createobject("CkStringBuilder")
loResp.GetBodySb(loSbResponseBody)

loJResp = createobject("CkJsonObject")
loJResp.LoadSb(loSbResponseBody)
loJResp.EmitCompact = .F.

? "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
    return
endif

// 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 loResp
release loSbResponseBody
release loJResp