Azure OpenAI Service provides enterprise-grade access to OpenAI models with Microsoft's security and compliance guarantees.
## Available Models
### Language Models - GPT-4o: Multimodal flagship model - GPT-4 Turbo: Long context, optimized cost - GPT-4o mini: Fast, cost-efficient tasks - o1: Advanced reasoning model - GPT-3.5 Turbo: High-throughput, low-cost
### Specialized Models - DALL-E 3: Image generation - Whisper: Speech-to-text transcription - text-embedding-3-large: Semantic embeddings - Babbage: Text classification (legacy)
## Key Enterprise Features - Data Privacy: Customer data not used for training - Regional Deployment: Data stays in chosen Azure region - Private Endpoints: VNet integration for isolation - Managed Identity: No API key management needed - Content Filtering: Configurable safety system
## Quick Start ```python from openai import AzureOpenAI
client = AzureOpenAI( azure_endpoint="https://your-resource.openai.azure.com", api_key="your-api-key", api_version="2024-09-01-preview" )
response = client.chat.completions.create( model="gpt-4o", # Your deployment name messages=[ {"role": "system", "content": "You are a helpful assistant"}, {"role": "user", "content": "Explain quantum computing"} ], max_tokens=500 )
print(response.choices[0].message.content) ```
## Differences from OpenAI Direct - Regional endpoints and private networking - Azure AD / Managed Identity authentication - Content filters with detailed logging - Microsoft compliance certifications - SLA guarantees and enterprise support - Usage quotas and rate limit management