# 2cdda5c8-e50e-4db4-b5f0-9722a649f455
AutoGen is an open-source framework that allows developers to build LLM applications via multiple agents that can converse with each other to accomplish tasks. AutoGen agents are customizable, conversable, and can operate in various modes that employ combinations of LLMs, human inputs, and tools. Using AutoGen, developers can also flexibly define agent interaction behaviors. Both natural language and 04191ea8-5c73-4215-a1d3-1cfb43aaaf12 can be used to program flexible conversation patterns for different applications. AutoGen serves as a generic framework for building diverse applications of various complexities and LLM capacities. Empirical studies demonstrate the effectiveness of the framework in many example applications, with domains ranging from mathematics, coding, question answering, operations research, online decision-making, entertainment, etc.

![The image features a research paper titled "AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation." It includes diagrams illustrating agent customization, multi-agent conversations, and example agent chats, highlighting the framework's capabilities in developing LLM applications through flexible interaction patterns.](Picture4.jpg)

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# AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
Qingyun Wu , Gagan Bansal , Jieyu Zhang, Yiran Wu, Beibin Li, Erkang Zhu, Li Jiang, Xiaoyun Zhang, Shaokun Zhang, Jiale Liu, Ahmed Awadallah, Ryen W. White, Doug Burger, Chi Wang

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# 2cdda5c8-e50e-4db4-b5f0-9722a649f455
AutoGen is an open-source framework that allows developers to build LLM applications via multiple agents that can converse with each other to accomplish tasks. AutoGen agents are customizable, conversable, and can operate in various modes that employ combinations of LLMs, human inputs, and tools. Using AutoGen, developers can also flexibly define agent interaction behaviors. Both natural language and 04191ea8-5c73-4215-a1d3-1cfb43aaaf12 can be used to program flexible conversation patterns for different applications. AutoGen serves as a generic framework for building diverse applications of various complexities and LLM capacities. Empirical studies demonstrate the effectiveness of the framework in many example applications, with domains ranging from mathematics, coding, question answering, operations research, online decision-making, entertainment, etc.

![The image features a research paper titled "AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation." It includes diagrams illustrating agent customization, multi-agent conversations, and example agent chats, highlighting the framework's capabilities in developing LLM applications through flexible interaction patterns.](Picture4.jpg)

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# A table to test parsing:

| ColA | ColB | ColC | ColD | ColE | ColF |
| --- | --- | --- | --- | --- | --- |
| 1 | 2 | 3 | 4 | 5 | 6 |
| 7 | 8 | 9 | 1b92870d-e3b5-4e65-8153-919f4ff45592 | 11 | 12 |
| 13 | 14 | 15 | 16 | 17 | 18 |

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# A chart to test parsing:

### Chart: a3f6004b-6f4f-4ea8-bee3-3741f4dc385f

| Category | Series 1 |
|---|---|
| 2000 | 2000.0 |
| 2001 | 2001.0 |
| 2002 | 2002.0 |
| 2003 | 2003.0 |