(PowerShell) 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 .NET Downloads Chilkat .NET Assemblies

Add-Type -Path "C:\chilkat\ChilkatDotNet47-9.5.0-x64\ChilkatDotNet47.dll"

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

$http = New-Object 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
# }

$json = New-Object Chilkat.JsonObject
$json.UpdateString("model","gpt-3.5-turbo")
$json.UpdateString("messages[0].role","user")
$json.UpdateString("messages[0].content","Say this is a test!")
$json.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.
$http.AuthToken = "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"
$http.SetRequestHeader("Content-Type","application/json")

$resp = $http.PostJson3("https://api.openai.com/v1/chat/completions","application/json",$json)
if ($http.LastMethodSuccess -eq $false) {
    $($http.LastErrorText)
    exit
}

$sbResponseBody = New-Object Chilkat.StringBuilder
$resp.GetBodySb($sbResponseBody)

$jResp = New-Object Chilkat.JsonObject
$jResp.LoadSb($sbResponseBody)
$jResp.EmitCompact = $false

$("Response Body:")
$($jResp.Emit())

$respStatusCode = $resp.StatusCode
$("Response Status Code = " + $respStatusCode)
if ($respStatusCode -ge 400) {
    $("Response Header:")
    $($resp.Header)
    $("Failed.")

    exit
}

# 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

$id = $jResp.StringOf("id")
$v_object = $jResp.StringOf("object")
$created = $jResp.IntOf("created")
$model = $jResp.StringOf("model")
$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 = $jResp.SizeOfArray("choices")
while ($i -lt $count_i) {
    $jResp.I = $i
    $Role = $jResp.StringOf("choices[i].message.role")
    $Content = $jResp.StringOf("choices[i].message.content")
    $finish_reason = $jResp.StringOf("choices[i].finish_reason")
    $index = $jResp.IntOf("choices[i].index")
    $i = $i + 1
}