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AutoGen has been developed as an open-source Python package to help developers build complex applications using large language models (LLMs). The framework simplifies the design, implementation and automation of LLM workflows, reducing coding effort by more than four times, according to its developers.
To use AutoGen, users first define a set of agents, which combine LLMs with human and tool-based intelligence to handle specific tasks. These agents can then engage in automated chat to solve workflows, with their interactions governed by reusable and composable behaviours.
As well as reducing the complexity of LLM workflows, AutoGen also supports the creation of entirely new applications, such as conversational chess. The researchers behind AutoGen are now encouraging users to trial the package and provide feedback.