azureai-statsig 0.1.0

Statsig wrapped Azure AI inference library

Statsig Azure AI

Azure AI library with a built-in Statsig SDK.

Statsig helps you move faster with Feature Gates (Feature Flags) and Dynamic Configs. It also allows you to run A/B tests to validate your new features and understand their impact on your KPIs. If you're new to Statsig, create an account at statsig.com.

Getting Started

1. Install the library pip install azureai-statsig
2. Initialize the main AzureAI interface along with the internal Statsig service

AzureAI.initialize(<STATSIG_SERVER_KEY>, StatsigOptions(tier="development"))

3. Create the AzureAI inference client

client = AzureAI.get_model_client_from_endpoint(<DEPLOYMENT_ENDPOINT_URL>, <DEPLOYMENT_KEY>)

Optionally, use a Statsig Dynamic Config to provide default configurations

client = AzureAI.get_model_client("azureai_model", <DEPLOYMENT_ENDPOINT_URL>, <DEPLOYMENT_KEY>)

4. Call the API

response = client.complete([
    SystemMessage(content="You are a helpful assistant."),
    UserMessage(content="Give me 5 good reasons why I should exercise every day.")
])

References

• Azure AI SDK documentation
• Statsig SDK documentation