
Unlocking Creativity with Azure OpenAI
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We will be using a multi-agent system where the User Proxy Assistant acts as the main orchestrator, facilitating communication between the user and specialized agents. The DALL-E Assistant is responsible for generating images based on user queries, while the Vision Assistant analyzes these images using the GPT-4o model. The system maintains ongoing communication through persistent threads and utilizes function calls to perform specific tasks, such as image generation and analysis.
In a typical workflow, the user sends a query to the User Proxy Assistant, which forwards it to the DALL-E Assistant to create an image. This image is then analyzed by the Vision Assistant, which provides feedback that can be used to refine the image further. This coordinated effort between specialized agents ensures efficient handling of complex tasks.
Important note
This is just one way to implement multi-agent systems. You could also use other frameworks such as AutoGen, Semantic...