Azure AI

Introduction to the Statsig Azure OpenAI integration for logging AI calls, capturing metrics, and running experiments on prompts and model parameters.

Statsig offers SDKs for integrating Azure AI models into server applications. These SDKs simplify the implementation of features like completions and embeddings in your server application. They provide easy-to-use APIs and automatically track metrics such as latency, token length, and model details, which you can use for optimization and experimentation. Use cases include:

• Implement Azure AI Models in your code with a single lightweight framework
• Stream completions and generate embeddings
• Capture invocation and usage metrics with no extra work
• Run A/B tests on parameters like model, prompt, temperature and more

Currently supported SDKs

• Node JS: https://github.com/statsig-io/azureai-nodejs/
• Python: https://github.com/statsig-io/azureai-python/
• .Net: https://github.com/statsig-io/azureai-dotnet/