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Azure AI single and multi-agent architecture

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Azure AI - Multi-Agent Example Architecture.png

However, even with this simple interaction model, numerous situations had to be overcome. For example, I had to deal with cases where they got into infinitely long arguments. and i had to hard All four prompt engineers. As the number of agents in a multi-agent system increases, the burden of configuring and maintaining it increases proportionally.

Try first before trying many agents only one

While multi-agent systems are receiving a lot of attention, the influence of single-agent systems continues to grow. assistantnow Available in Azure OpenAI serviceis a prime example of this..

I’ve been experimenting with using Assistant lately. for both structured unstructured I found the data itself to be incredibly powerful. It operates sequentially, making it easier to debug. The following tools are built in: code interpreteruse both and run code and file searchany reason deputy to data. Please see my example. 90 seconds video:

More tools are available, including phone functionality. Azure Logic AppBrowse the web and automatically query various sources of structured data, including: microsoft fabric.

It is relatively easy to install and has been production tested in multiple locations. with our customers OpenAI’s ChatGPT. It still requires data grounding, rapid engineering, mass evaluation, management, and provisioning, but there’s really a lot to be gained from a single-agent setup.

So before trying many AI agents to solve a problem, check if a single agent can complete the task.

For more information about AI agents





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