Developed by Microsoft, AutoGen is a open-source famework that enables the development of next-gen LLM applications using multiple agents that can converse with each other to solve tasks.
- AutoGen agents are customizable, conversable, and seamlessly allow human participation.
- AutoGen enables building next-gen LLM applications based on multi-agent conversations with minimal effort.
- It simplifies the orchestration, automation, and optimization of a complex LLM workflow.
- It maximizes the performance of LLM models and overcomes their weaknesses.
AutoGen supports diverse conversation patterns for complex workflows. With customizable and conversable agents, developers can use AutoGen to build a wide range of conversation patterns concerning conversation autonomy, the number of agents, and agent conversation topology.
AutoGen also provides a drop-in replacement of
openai.ChatCompletion as an enhanced inference API. This demonstrates how AutoGen can easily support diverse conversation patterns.
The framework also allows easy performance tuning, utilities like API unification and caching, and advanced usage patterns, such as error handling, multi-config inference, context programming, etc.
AutoGen is powered by collaborative research studies from Microsoft, Penn State University, and the University of Washington.
Enable Next-Gen Large Language Model Applications.
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Please note this pages serves informational purposes only and does not constitute an endorsement of any AI tool. Some company descriptions are assisted by GPT-4 are provided without any expressed or implied warranties.