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OpenAI (ChatGPT) List Models
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Show how to list available OpenAI models and shows how to parse the JSON model information.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/models \
# -H "Authorization: Bearer $OPENAI_API_KEY"
# Use the following online tool to generate HTTP code from a CURL command
# Convert a cURL Command to HTTP Source Code
# 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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"
$sbResponseBody = New-Object Chilkat.StringBuilder
$success = $http.QuickGetSb("https://api.openai.com/v1/models",$sbResponseBody)
if ($success -eq $false) {
$($http.LastErrorText)
exit
}
$jResp = New-Object Chilkat.JsonObject
$jResp.LoadSb($sbResponseBody)
$jResp.EmitCompact = $false
$("Response Body:")
$($jResp.Emit())
$respStatusCode = $http.LastStatus
$("Response Status Code = " + $respStatusCode)
if ($respStatusCode -ge 400) {
$("Response Header:")
$($http.LastHeader)
$("Failed.")
exit
}
# Sample JSON response:
# (Sample code for parsing the JSON response is shown below)
# {
# "object": "list",
# "data": [
# {
# "id": "babbage",
# "object": "model",
# "created": 1649358449,
# "owned_by": "openai",
# "permission": [
# {
# "id": "modelperm-49FUp5v084tBB49tC4z8LPH5",
# "object": "model_permission",
# "created": 1669085501,
# "allow_create_engine": false,
# "allow_sampling": true,
# "allow_logprobs": true,
# "allow_search_indices": false,
# "allow_view": true,
# "allow_fine_tuning": false,
# "organization": "*",
# "group": null,
# "is_blocking": false
# }
# ],
# "root": "babbage",
# "parent": null
# },
# {
# "id": "davinci",
# "object": "model",
# "created": 1649359874,
# "owned_by": "openai",
# "permission": [
# {
# "id": "modelperm-U6ZwlyAd0LyMk4rcMdz33Yc3",
# "object": "model_permission",
# "created": 1669066355,
# "allow_create_engine": false,
# "allow_sampling": true,
# "allow_logprobs": true,
# "allow_search_indices": false,
# "allow_view": true,
# "allow_fine_tuning": false,
# "organization": "*",
# "group": null,
# "is_blocking": false
# }
# ],
# "root": "davinci",
# "parent": null
# },
# ...
# ...
# Sample code for parsing the JSON response...
# Use the following online tool to generate parsing code from sample JSON:
# Generate Parsing Code from JSON
$v_object = $jResp.StringOf("object")
$i = 0
$count_i = $jResp.SizeOfArray("data")
while ($i -lt $count_i) {
$jResp.I = $i
$id = $jResp.StringOf("data[i].id")
$v_object = $jResp.StringOf("data[i].object")
$created = $jResp.IntOf("data[i].created")
$owned_by = $jResp.StringOf("data[i].owned_by")
$root = $jResp.StringOf("data[i].root")
$parent = $jResp.StringOf("data[i].parent")
$j = 0
$count_j = $jResp.SizeOfArray("data[i].permission")
while ($j -lt $count_j) {
$jResp.J = $j
$id = $jResp.StringOf("data[i].permission[j].id")
$v_object = $jResp.StringOf("data[i].permission[j].object")
$created = $jResp.IntOf("data[i].permission[j].created")
$allow_create_engine = $jResp.BoolOf("data[i].permission[j].allow_create_engine")
$allow_sampling = $jResp.BoolOf("data[i].permission[j].allow_sampling")
$allow_logprobs = $jResp.BoolOf("data[i].permission[j].allow_logprobs")
$allow_search_indices = $jResp.BoolOf("data[i].permission[j].allow_search_indices")
$allow_view = $jResp.BoolOf("data[i].permission[j].allow_view")
$allow_fine_tuning = $jResp.BoolOf("data[i].permission[j].allow_fine_tuning")
$organization = $jResp.StringOf("data[i].permission[j].organization")
$group = $jResp.StringOf("data[i].permission[j].group")
$is_blocking = $jResp.BoolOf("data[i].permission[j].is_blocking")
$j = $j + 1
}
$i = $i + 1
}