Azure API Management and Generative AI – What’s Next?

Azure API Management and Generative AI – What’s Next?

Andre Kamenev, a member of the API management team at Microsoft, discusses the relationship between generative AI and API management. He explains that API management can be important in an architecture that uses generative AI, as it helps to solve challenges such as token usage, rate limiting, and load balancing.

The Benefits of API Management in Generative AI

Andre highlights the benefits of using API management in generative AI, including the ability to track usage, apply rate limiting, and load balance across multiple models. He also mentions that API management can help to improve the security of the overall architecture by allowing developers to focus on writing code for the interface rather than worrying about the underlying infrastructure.

The Future of API Management in Generative AI

Andre discusses the future of API management in generative AI, including the potential for more unification of the interface to different models and the introduction of new features such as prompt hacking and content safety. He also mentions that Microsoft is looking at how to integrate with different LLMs and how to support the same capabilities with limiting token usage and understanding usage.

The Role of Copilot in Azure API Management

Andre discusses the role of Copilot in API management, including the ability to generate policies and explain existing policies. He also mentions that Copilot can help developers to understand what’s already in the policy configuration and to identify what’s going on in the policy.

The Future of Copilot in API Management

Andre discusses the future of Copilot in API management, including the potential for more features such as generating specifications and explaining other configurations in Azure API management. He also mentions that Microsoft is collecting feedback from customers and is looking at how to expand the capabilities of Copilot.

Customer Scenarios and Use Cases

Andre discusses customer scenarios and use cases for API management in generative AI, including the use of chat assistance and the integration of Gen AI gateway. He also mentions that Microsoft is looking at adding more capabilities into Gen AI gateway and that the company is seeing a lot of interest in the technology.

Conclusion

In conclusion, Andre Kamenev discusses the role of API management in generative AI and the benefits of using API management in this space. He also discusses the future of API management and Copilot in generative AI, including the potential for more unification of the interface to different models and the introduction of new features.