Azure Inference Chat Streaming in Python

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This sample demonstrates how to use the Azure AI Inference Chat API with streaming in a Python console application.

main.py
requirements.txt

How to generate this sample

Command

ai dev new az-inference-chat-streaming --python

Output

AI - Azure AI CLI, Version 1.0.0
Copyright (c) 2024 Microsoft Corporation. All Rights Reserved.

This PUBLIC PREVIEW version may change at any time.
See: https://aka.ms/azure-ai-cli-public-preview

Generating 'az-inference-chat-streaming' in 'az-inference-chat-streaming-py' (3 files)...

main.py
requirements.txt

Generating 'az-inference-chat-streaming' in 'az-inference-chat-streaming-py' (2 files)... DONE!

main.py

STEP 1: Read the configuration settings from environment variables:

main.py

chat_api_key = os.getenv("AZURE_AI_CHAT_API_KEY", '<insert your Azure AI Inference API key here>')
chat_endpoint = os.getenv("AZURE_AI_CHAT_ENDPOINT", '<insert your Azure AI Inference endpoint here>')
chat_model = os.getenv('AZURE_AI_CHAT_MODEL', '')
chat_system_prompt = os.getenv('SYSTEM_PROMPT', 'You are a helpful AI assistant.')

STEP 2: Initialize the helper class with the configuration settings:

main.py

chat = AzureAIInferenceChatCompletionsStreaming(chat_endpoint, chat_api_key, chat_model, chat_system_prompt)

STEP 3: Obtain user input, use the helper class to get the assistant's response, and display responses as they are received:

main.py

while True:
{
    user_input = input('User: ')
    if user_input == 'exit' or user_input == '':
        break

    print('\nAssistant: ', end='')
    response = chat.get_chat_completions(user_input, lambda content: print(content, end=''))
    print('\n')
}

requirements.txt

The requirements file specifies the dependencies required for the sample:

requirements.txt

azure-ai-inference