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OpenAI (ChatGPT) Create Chat Completion
See more OpenAI ChatGPT Examples
Shows how to create a model response for a given chat conversation.Chilkat PowerShell Downloads
Add-Type -Path "C:\chilkat\ChilkatDotNet47-x64\ChilkatDotNet47.dll"
$success = $false
# 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": "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!"
# }
# ]
# }
$json = New-Object Chilkat.JsonObject
$json.UpdateString("model","gpt-3.5-turbo")
$json.UpdateString("messages[0].role","user")
$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.
$http.AuthToken = "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"
$http.SetRequestHeader("Content-Type","application/json")
$resp = New-Object Chilkat.HttpResponse
$success = $http.HttpJson("POST","https://api.openai.com/v1/chat/completions",$json,"application/json",$resp)
if ($success -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-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
$id = $jResp.StringOf("id")
$v_object = $jResp.StringOf("object")
$created = $jResp.IntOf("created")
$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
$index = $jResp.IntOf("choices[i].index")
$Role = $jResp.StringOf("choices[i].message.role")
$Content = $jResp.StringOf("choices[i].message.content")
$finish_reason = $jResp.StringOf("choices[i].finish_reason")
$i = $i + 1
}