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# ------------------------------------
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
# ------------------------------------
"""
DESCRIPTION:
This sample demonstrates how to get a chat completions response from
the service using a synchronous client, while supplying additional
model-specific parameters as part of the request.
See setting of the optional `model_extras` in the `complete` method.
This sample assumes the AI model is hosted on a Serverless API or
Managed Compute endpoint. For GitHub Models or Azure OpenAI endpoints,
the client constructor needs to be modified. See package documentation:
https://github.com/Azure/azure-sdk-for-python/blob/main/sdk/ai/azure-ai-inference/README.md#key-concepts
USAGE:
python sample_chat_completions_with_model_extras.py
Set these two environment variables before running the sample:
1) AZURE_AI_CHAT_ENDPOINT - Your endpoint URL, in the form
https://<your-deployment-name>.<your-azure-region>.models.ai.azure.com
where `your-deployment-name` is your unique AI Model deployment name, and
`your-azure-region` is the Azure region where your model is deployed.
2) AZURE_AI_CHAT_KEY - Your model key. Keep it secret.
"""
def sample_chat_completions_with_model_extras():
import os
try:
endpoint = os.environ["AZURE_AI_CHAT_ENDPOINT"]
key = os.environ["AZURE_AI_CHAT_KEY"]
except KeyError:
print("Missing environment variable 'AZURE_AI_CHAT_ENDPOINT' or 'AZURE_AI_CHAT_KEY'")
print("Set them before running this sample.")
exit()
from azure.ai.inference import ChatCompletionsClient
from azure.ai.inference.models import SystemMessage, UserMessage
from azure.core.credentials import AzureKeyCredential
client = ChatCompletionsClient(endpoint=endpoint, credential=AzureKeyCredential(key))
# [START model_extras]
response = client.complete(
messages=[
SystemMessage("You are a helpful assistant."),
UserMessage("How many feet are in a mile?"),
],
model_extras={"key1": "value1", "key2": "value2"}, # Optional. Additional parameters to pass to the model.
)
# [END chat_completions]
print(response.choices[0].message.content)
if __name__ == "__main__":
sample_chat_completions_with_model_extras()
|
