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(PowerShell) OpenAI (ChatGTP) List ModelsSee more OpenAI ChatGPT ExamplesShow how to list available OpenAI models and shows how to parse the JSON model information. For more information, see https://platform.openai.com/docs/api-reference/models/list
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/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 } |
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