import openai
response = openai.Completion.create(
    engine="text-davinci-002-prod",
    prompt="This is a test",
    max_tokens=5
)
!pip install openai
import os
os.environ["OPENAI_API_TYPE"] = "azure"
os.environ["OPENAI_API_VERSION"] = "2023-03-15-preview"
os.environ["OPENAI_API_BASE"] = "..."
os.environ["OPENAI_API_KEY"] = "..."
# Import Azure OpenAI
from langchain.llms import AzureOpenAI
# Create an instance of Azure OpenAI
# Replace the deployment name with your own
llm = AzureOpenAI(
    deployment_name="td2",
    model_name="text-davinci-002", 
)
# Run the LLM
llm("Tell me a joke")
"\n\nWhy couldn't the bicycle stand up by itself? Because it was...two tired!"
We can also print the LLM and see its custom print.
print(llm)
AzureOpenAI
Params: {'deployment_name': 'text-davinci-002', 'model_name': 'text-davinci-002', 'temperature': 0.7, 'max_tokens': 256, 'top_p': 1, 'frequency_penalty': 0, 'presence_penalty': 0, 'n': 1, 'best_of': 1}
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 Contents
  
API configuration
Deployments
By Harrison Chase
    
      © Copyright 2023, Harrison Chase.
      
  Last updated on Jun 16, 2023.
rtdocs_stable/api.python.langchain.com/en/stable/modules/models/llms/integrations/azure_openai_example.html