1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43
|
from openai import AzureOpenAI
# may change in the future
# https://learn.microsoft.com/en-us/azure/ai-services/openai/reference#rest-api-versioning
api_version = "2023-07-01-preview"
# gets the API Key from environment variable AZURE_OPENAI_API_KEY
client = AzureOpenAI(
api_version=api_version,
# https://learn.microsoft.com/en-us/azure/cognitive-services/openai/how-to/create-resource?pivots=web-portal#create-a-resource
azure_endpoint="https://example-endpoint.openai.azure.com",
)
completion = client.chat.completions.create(
model="deployment-name", # e.g. gpt-35-instant
messages=[
{
"role": "user",
"content": "How do I output all files in a directory using Python?",
},
],
)
print(completion.to_json())
deployment_client = AzureOpenAI(
api_version=api_version,
# https://learn.microsoft.com/en-us/azure/cognitive-services/openai/how-to/create-resource?pivots=web-portal#create-a-resource
azure_endpoint="https://example-resource.azure.openai.com/",
# Navigate to the Azure OpenAI Studio to deploy a model.
azure_deployment="deployment-name", # e.g. gpt-35-instant
)
completion = deployment_client.chat.completions.create(
model="<ignored>",
messages=[
{
"role": "user",
"content": "How do I output all files in a directory using Python?",
},
],
)
print(completion.to_json())
|