Metadata-Version: 2.1
Name: lagent
Version: 0.2.0
Summary: A lightweight framework for building LLM-based agents
Home-page: https://github.com/InternLM/lagent
License: Apache 2.0
Description: <div id="top"></div>
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        English | [简体中文](README_zh-CN.md) | [日本語](README_ja_JP.md) | [हिंदी](README_in_HIN.md) | [বাংলা](README_in_beng.md) | [한국어](README_KR_Kr.md)
        
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            👋 join us on <a href="https://twitter.com/intern_lm" target="_blank">𝕏 (Twitter)</a>, <a href="https://discord.gg/xa29JuW87d" target="_blank">Discord</a> and <a href="https://r.vansin.top/?r=internwx" target="_blank">WeChat</a>
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        [![Alt text](https://img.youtube.com/vi/YAelRLi0Zak/0.jpg)](https://www.youtube.com/watch?v=YAelRLi0Zak)
        
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        ## Getting Started
        
        Please see the [overview](docs/en/get_started/overview.md) for the general introduction of Lagent. Meanwhile, we provide extremely simple code for quick start. You may refer to [examples](examples/) for more details.
        
        ### Installation
        
        Install with pip (Recommended).
        
        ```bash
        pip install lagent
        ```
        
        ### Run a Web Demo
        
        You need to install Streamlit first.
        
        ```bash
        # pip install streamlit
        streamlit run examples/internlm2_agent_web_demo.py
        ```
        
        ## What's Lagent?
        
        Lagent is a lightweight open-source framework that allows users to efficiently build large language model(LLM)-based agents. It also provides some typical tools to augment LLM. The overview of our framework is shown below:
        
        ![image](https://github.com/InternLM/lagent/assets/24351120/cefc4145-2ad8-4f80-b88b-97c05d1b9d3e)
        
        ## Major Features
        
        - Stream Output: Provides the `stream_chat` interface for streaming output, allowing cool streaming demos right at your local setup.
        - Interfacing is unified, with a comprehensive design upgrade for enhanced extensibility, including:
          - Model: Whether it's the OpenAI API, Transformers, or LMDeploy inference acceleration framework, you can seamlessly switch between models.
          - Action: Simple inheritance and decoration allow you to create your own personal toolkit, adaptable to both InternLM and GPT.
          - Agent: Consistent with the Model's input interface, the transformation from model to intelligent agent only takes one step, facilitating the exploration and implementation of various agents.
        - Documentation has been thoroughly upgraded with full API documentation coverage.
        
        ## 💻Tech Stack
        
        <p>
          <a href="">
            <img src="https://img.shields.io/badge/Python-007ACC?style=for-the-badge&logo=python&logoColor=yellow" alt="python" />
          </a>
        
        ### All Thanks To Our Contributors:
        
        <a href="https://github.com/InternLM/lagent/graphs/contributors">
          <img src="https://contrib.rocks/image?repo=InternLM/lagent" />
        </a>
        
        ## Citation
        
        If you find this project useful in your research, please consider cite:
        
        ```latex
        @misc{lagent2023,
            title={{Lagent: InternLM} a lightweight open-source framework that allows users to efficiently build large language model(LLM)-based agents},
            author={Lagent Developer Team},
            howpublished = {\url{https://github.com/InternLM/lagent}},
            year={2023}
        }
        ```
        
        ## License
        
        This project is released under the [Apache 2.0 license](LICENSE).
        
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Keywords: artificial general intelligence,agent,agi,llm
Platform: UNKNOWN
Description-Content-Type: text/markdown
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