With OpenAI's recently released Assistants API, building AI bots becomes a lot easier. Using the API, an assistant can leverage custom instructions, files and tools (previously called functions) and answer user questions based on them.
Before the Assistants API, building such assistants was possible but for a lot of things, we had to use our own services e.g. vector storage for file search, database for maintaining chat history etc.
The Assistants API gives us a handy wrapper on top of all these disparate services and a single endpoint to work with. So in this series of posts, let's have a look at what the Assistants API can do.
Working with the OpenAI Assistants API: Create a simple assistant (this post)
Working with the OpenAI Assistants API: Using file search
Working with the OpenAI Assistants API: Using code interpreter (coming soon)
The first thing we are going to do is build a simple assistant which has a "SharePoint Tutor" personality. It will be used to answer questions for users who are learning to use SharePoint. Before deep diving into the code, lets understand the different moving pieces of the Assistants API:
An assistant is a container in which all operations between the AI and the user are managed.
A thread is a list of messages which were exchanged between the user and AI. The thread is also responsible for maintaining the conversation history.
A run is a single invocation of an assistant based on the history in the thread as well as the tools available to the assistant. After a run is executed, new messages are generated and added to the thread.
For the demo code, we will be using the Azure OpenAI service for working with the OpenAI gpt-4o model and since we will be using .NET code, we will need the Azure OpenAI .NET SDK as well as Azure.AI.OpenAI.Assistants nuget packages.
This was a simple assistant creation just to get us familiar with the Assitants API. In the next posts, we will dive deeper into the API and explore the more advanced concepts. Stay tuned!
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