Software development companies can use Azure's AI Services to bring an agent-like experience to your own applications. This offers a fast path to apply GPT's function calling to call your own APIs simply by describing your function's structure in JSON and providing a sandboxed Python environment to run and execute code to help formulating responses to user's questions. Both these features can help offload non-language-based challenges to conventional code or existing systems better suited to the tasks.

Common scenarios to create agents with Azure OpenAI:

• You're looking for an approach to quickly integrate GenAI capabilities without extensive development effort.
• You want to create interactive, natural language interfaces that enhance engagements.
• You're interested in using an Azure OpenAI assistant to write and execute code, based on prompts, to solve non-GenAI problems.

In this collection, you'll find a sample solution architecture, a fully developed cloud-ready template to deploy Azure OpenAI assistants, and some resources to help you understand how best to work with Azure OpenAI assistants, including a quickstart.

For a full explanation of all approaches and scenarios, you can visit the Creating Generative AI Experiences with the Microsoft Cloud. If you'd like help to streamline your app build, publish, and marketplace growth journey, visit app advisor on ISV Hub, answer a few questions, and get the right information you need, right now.