This repository provides code samples for interacting with the Azure OpenAI Service, targeting developers and researchers building AI-powered applications. It aims to simplify the integration of advanced language models into various use cases.

How It Works

The samples demonstrate common patterns for using Azure OpenAI's capabilities, including text generation, embeddings, and chat completions. They are structured to showcase best practices for authentication, prompt engineering, and handling model responses within typical application workflows.

Quick Start & Requirements

• Installation: Clone the repository and install dependencies using pip install -r requirements.txt.
• Prerequisites: An Azure subscription with access to Azure OpenAI Service, an Azure OpenAI resource, and an API key are required. Python 3.7+ is recommended.
• Resources: Official documentation and quick-start guides are available within the repository's subdirectories.

Highlighted Details

• Covers various Azure OpenAI models like GPT-3.5-Turbo, GPT-4, and text-embedding-ada-002.
• Includes examples for common tasks such as content summarization, question answering, and code generation.
• Demonstrates integration with popular frameworks like LangChain and Semantic Kernel.
• Provides guidance on deploying models and managing API calls efficiently.

Maintenance & Community

This repository is actively maintained by Microsoft. Community support and contributions are welcome. Links to Azure OpenAI documentation and community forums are provided.

Licensing & Compatibility

The samples are released under the MIT License, permitting commercial use and integration into closed-source projects.

Limitations & Caveats

The samples are illustrative and may require adaptation for specific production environments or advanced use cases. They focus on client-side interaction and do not cover backend deployment or scaling strategies.