Transform Laggy AI Agents into Lightning Fast AI Agents

Discover the Secret Sauce Behind Fast, Responsive AI Agents Bily in Python

You have built a sophisticated AI Agent or a powerful Python script that makes different API calls, searches the web, and processes the data. Even though the functionality is impressive, it lags and becomes unresponsive. As a result, no one likes to use it due to long wait times.

What if you could transform your slow, unresponsive code into a responsive one, giving users immediate feedback?

What if each of the API calls, web searches, and data processing tasks ran simultaneously, instead of waiting for a task to finish to start a new task?

What if the users could get immediate feedback and progressive updates on long-running tasks, so they are not left with a blank screen?

What if the AI Agent can dramatically reduce the overall processing time and use the CPU and I/O resources efficiently when running multiple long actions?

The answer is Concurrency.

Concurrency is the ability of the program to manage and execute multiple tasks, such as API calls, web searches, and data processing, which appear to be executed at the same time. These tasks run in overlapping periods where the program switches efficiently between different tasks, such as when waiting for an API response or invoking a new web search, improving responsiveness and…