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[English](./README.md) | 中文
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# AgentScope
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<h1 align="left">
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<img src="https://img.alicdn.com/imgextra/i2/O1CN01cdjhVE1wwt5Auv7bY_!!6000000006373-0-tps-1792-1024.jpg" width="600" alt="agentscope-logo">
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</h1>
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更简单地构建基于LLM的多智能体应用。
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[](https://arxiv.org/abs/2402.14034)
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[](https://pypi.org/project/agentscope/)
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[](https://pypi.org/project/agentscope/)
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[](https://modelscope.github.io/agentscope/#welcome-to-agentscope-tutorial-hub)
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[](https://modelscope.github.io/agentscope/)
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[](https://modelscope.cn/studios?name=agentscope&page=1&sort=latest)
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[](./LICENSE)
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[](https://modelscope.github.io/agentscope/tutorial/contribute.html)
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如果您觉得我们的工作对您有帮助，请引用我们的[论文](https://arxiv.org/abs/2402.14034)。
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欢迎加入我们的社区
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| [Discord](https://discord.gg/eYMpfnkG8h) | 钉钉群 |
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|---------|----------|
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| <img src="https://gw.alicdn.com/imgextra/i1/O1CN01hhD1mu1Dd3BWVUvxN_!!6000000000238-2-tps-400-400.png" width="100" height="100"> | <img src="https://img.alicdn.com/imgextra/i2/O1CN01tuJ5971OmAqNg9cOw_!!6000000001747-0-tps-444-460.jpg" width="100" height="100"> |
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## 新闻
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- <img src="https://img.alicdn.com/imgextra/i3/O1CN01SFL0Gu26nrQBFKXFR_!!6000000007707-2-tps-500-500.png" alt="new" width="30" height="30"/>**[2024-06-14]** 新的提示调优（Prompt tuning）模块已经上线 AgentScope，用以帮助开发者生成和优化智能体的 system prompt。更多的细节和使用样例请参考 AgentScope [教程](https://modelscope.github.io/agentscope/en/tutorial/209-prompt_opt.html)！
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- <img src="https://img.alicdn.com/imgextra/i3/O1CN01SFL0Gu26nrQBFKXFR_!!6000000007707-2-tps-500-500.png" alt="new" width="30" height="30"/>**[2024-06-11]** RAG功能现在已经整合进 **AgentScope** 中! 大家可以根据 [**简要介绍AgentScope中的RAG**](https://modelscope.github.io/agentscope/en/tutorial/210-rag.html) ，让自己的agent用上外部知识!
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- <img src="https://img.alicdn.com/imgextra/i3/O1CN01SFL0Gu26nrQBFKXFR_!!6000000007707-2-tps-500-500.png" alt="new" width="30" height="30"/>**[2024-06-09]** AgentScope v0.0.5 已经更新！在这个新版本中，我们开源了 [**AgentScope Workstation**](https://modelscope.github.io/agentscope/en/tutorial/209-gui.html) (在线版本的网址是[agentscope.io](https://agentscope.io))！
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<h5 align="center">
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<img src="https://img.alicdn.com/imgextra/i1/O1CN01RXAVVn1zUtjXVvuqS_!!6000000006718-1-tps-3116-1852.gif" width="600" alt="agentscope-logo">
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</h5>
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- <img src="https://img.alicdn.com/imgextra/i3/O1CN01SFL0Gu26nrQBFKXFR_!!6000000007707-2-tps-500-500.png" alt="new" width="30" height="30"/>**[2024-05-24]** 我们很高兴地宣布 **AgentScope Workstation** 相关功能即将开源。我们的网站服务暂时下线。在线服务会很快升级重新上线，敬请期待...
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- <img src="https://img.alicdn.com/imgextra/i3/O1CN01SFL0Gu26nrQBFKXFR_!!6000000007707-2-tps-500-500.png" alt="new" width="30" height="30"/>**[2024-05-15]** 用于解析模型格式化输出的**解析器**模块已经上线 AgentScope！更轻松的构建多智能体应用，使用方法请参考[教程](https://modelscope.github.io/agentscope/en/tutorial/203-parser.html)。与此同时，[`DictDialogAgent`](https://github.com/modelscope/agentscope/blob/main/src/agentscope/agents/dict_dialog_agent.py) 类和 [狼人杀游戏](https://github.com/modelscope/agentscope/tree/main/examples/game_werewolf) 样例也已经同步更新！
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- <img src="https://img.alicdn.com/imgextra/i3/O1CN01SFL0Gu26nrQBFKXFR_!!6000000007707-2-tps-500-500.png" alt="new" width="30" height="30"/>**[2024-05-14]** 目前 AgentScope 正在进行 AgentScope Workstation & Copilot 用户体验反馈活动，需要您宝贵的意见来帮助我们改善 AgentScope 的拖拽式多智能体应用开发与 Copilot 体验。您的每一个反馈都十分宝贵，请点击 [链接](https://survey.aliyun.com/apps/zhiliao/vgpTppn22) 参与问卷，感谢您的支持！
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- <img src="https://img.alicdn.com/imgextra/i3/O1CN01SFL0Gu26nrQBFKXFR_!!6000000007707-2-tps-500-500.png" alt="new" width="30" height="30"/>**[2024-05-14]** AgentScope 现已支持 **gpt-4o** 等 OpenAI Vision 模型! 模型配置请见[链接](./examples/model_configs_template/openai_chat_template.json)。同时，新的样例“[与gpt-4o模型对话](./examples/conversation_with_gpt-4o)”已上线!
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- **[2024-04-30]** 我们现在发布了**AgentScope** v0.0.4版本！
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- **[2024-04-27]** [AgentScope Workstation](https://agentscope.aliyun.com/)上线了！ 欢迎使用 Workstation 体验如何在*拖拉拽编程平台* 零代码搭建多智体应用，也欢迎大家通过*copilot*查询AgentScope各种小知识！
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- **[2024-04-19]** AgentScope现已经支持Llama3！我们提供了面向CPU推理和GPU推理的[脚本](./examples/model_llama3)和[模型配置](./examples/model_llama3)，一键式开启Llama3的探索，在我们的样例中尝试Llama3吧！
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- **[2024-04-06]** 我们现在发布了**AgentScope** v0.0.3版本！
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- **[2024-04-06]** 新的样例“[五子棋](./examples/game_gomoku)”，“[与ReAct智能体对话](./examples/conversation_with_react_agent)”，“[与RAG智能体对话](./examples/conversation_with_RAG_agents)”，“[分布式并行优化](./examples/distributed_parallel_optimization)”上线了！
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- **[2024-03-19]** 我们现在发布了**AgentScope** v0.0.2版本！在这个新版本中，AgentScope支持了[ollama](https://modelscope.github.io/agentscope/en/tutorial/203-model.html#supported-models)（本地CPU推理引擎），[DashScope](https://modelscope.github.io/agentscope/en/tutorial/203-model.html#supported-models)和[Gemini](https://modelscope.github.io/agentscope/en/tutorial/203-model.html#supported-models) APIs。
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- **[2024-03-19]** 新的样例“[带有@功能的自主对话](./examples/conversation_with_mentions)”和“[兼容LangChain的基础对话](./examples/conversation_with_langchain)”上线了！
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- **[2024-03-19]** AgentScope的[中文教程](https://modelscope.github.io/agentscope/zh_CN/index.html)上线了！
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- **[2024-02-27]** 我们现在发布了**AgentScope** v0.0.1版本！现在，AgentScope也可以在[PyPI](https://pypi.org/project/agentscope/)上下载
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- **[2024-02-14]** 我们在arXiv上发布了论文“[AgentScope: A Flexible yet Robust Multi-Agent Platform](https://arxiv.org/abs/2402.14034)”!
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---
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## 什么是AgentScope？
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AgentScope是一个创新的多智能体开发平台，旨在赋予开发人员使用大模型轻松构建多智能体应用的能力。
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- 🤝 **高易用**： AgentScope专为开发人员设计，提供了[丰富的组件](https://modelscope.github.io/agentscope/en/tutorial/204-service.html#), [全面的文档](https://modelscope.github.io/agentscope/zh_CN/index.html)和广泛的兼容性。同时，[AgentScope Workstation](https://agentscope.aliyun.com/)提供了在线拖拉拽编程和在线小助手(copilot)功能，帮助开发者迅速上手！
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- ✅ **高鲁棒**：支持自定义的容错控制和重试机制，以提高应用程序的稳定性。
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- 🚀 **分布式**：支持以中心化的方式构建分布式多智能体应用程序。
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**支持的模型API**
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AgentScope提供了一系列`ModelWrapper`来支持本地模型服务和第三方模型API。
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| API | Task | Model Wrapper | Configuration | Some Supported Models |
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|------------------------|-----------------|---------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------|-----------------------------------------------|
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| OpenAI API | Chat | [`OpenAIChatWrapper`](https://github.com/modelscope/agentscope/blob/main/src/agentscope/models/openai_model.py) |[guidance](https://modelscope.github.io/agentscope/en/tutorial/203-model.html#openai-api) <br> [template](https://github.com/modelscope/agentscope/blob/main/examples/model_configs_template/openai_chat_template.json) | gpt-4o, gpt-4, gpt-3.5-turbo, ... |
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| | Embedding | [`OpenAIEmbeddingWrapper`](https://github.com/modelscope/agentscope/blob/main/src/agentscope/models/openai_model.py) | [guidance](https://modelscope.github.io/agentscope/en/tutorial/203-model.html#openai-api) <br> [template](https://github.com/modelscope/agentscope/blob/main/examples/model_configs_template/openai_embedding_template.json) | text-embedding-ada-002, ... |
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| | DALL·E | [`OpenAIDALLEWrapper`](https://github.com/modelscope/agentscope/blob/main/src/agentscope/models/openai_model.py) | [guidance](https://modelscope.github.io/agentscope/en/tutorial/203-model.html#openai-api) <br> [template](https://github.com/modelscope/agentscope/blob/main/examples/model_configs_template/openai_dall_e_template.json) | dall-e-2, dall-e-3 |
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| DashScope API | Chat | [`DashScopeChatWrapper`](https://github.com/modelscope/agentscope/blob/main/src/agentscope/models/dashscope_model.py) | [guidance](https://modelscope.github.io/agentscope/en/tutorial/203-model.html#dashscope-api) <br> [template](https://github.com/modelscope/agentscope/blob/main/examples/model_configs_template/dashscope_chat_template.json) | qwen-plus, qwen-max, ... |
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| | Image Synthesis | [`DashScopeImageSynthesisWrapper`](https://github.com/modelscope/agentscope/blob/main/src/agentscope/models/dashscope_model.py) | [guidance](https://modelscope.github.io/agentscope/en/tutorial/203-model.html#dashscope-api) <br>[template](https://github.com/modelscope/agentscope/blob/main/examples/model_configs_template/dashscope_image_synthesis_template.json) | wanx-v1 |
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| | Text Embedding | [`DashScopeTextEmbeddingWrapper`](https://github.com/modelscope/agentscope/blob/main/src/agentscope/models/dashscope_model.py) | [guidance](https://modelscope.github.io/agentscope/en/tutorial/203-model.html#dashscope-api) <br> [template](https://github.com/modelscope/agentscope/blob/main/examples/model_configs_template/dashscope_text_embedding_template.json) | text-embedding-v1, text-embedding-v2, ... |
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| | Multimodal | [`DashScopeMultiModalWrapper`](https://github.com/modelscope/agentscope/blob/main/src/agentscope/models/dashscope_model.py) | [guidance](https://modelscope.github.io/agentscope/en/tutorial/203-model.html#dashscope-api) <br> [template](https://github.com/modelscope/agentscope/blob/main/examples/model_configs_template/dashscope_multimodal_template.json) | qwen-vl-max, qwen-vl-chat-v1, qwen-audio-chat |
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| Gemini API | Chat | [`GeminiChatWrapper`](https://github.com/modelscope/agentscope/blob/main/src/agentscope/models/gemini_model.py) | [guidance](https://modelscope.github.io/agentscope/en/tutorial/203-model.html#gemini-api) <br> [template](https://github.com/modelscope/agentscope/blob/main/examples/model_configs_template/gemini_chat_template.json) | gemini-pro, ... |
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| | Embedding | [`GeminiEmbeddingWrapper`](https://github.com/modelscope/agentscope/blob/main/src/agentscope/models/gemini_model.py) | [guidance](https://modelscope.github.io/agentscope/en/tutorial/203-model.html#gemini-api) <br> [template](https://github.com/modelscope/agentscope/blob/main/examples/model_configs_template/gemini_embedding_template.json) | models/embedding-001, ... |
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| ZhipuAI API | Chat | [`ZhipuAIChatWrapper`](https://github.com/modelscope/agentscope/blob/main/src/agentscope/models/zhipu_model.py) | [guidance](https://modelscope.github.io/agentscope/en/tutorial/203-model.html#zhipu-api) <br> [template](https://github.com/modelscope/agentscope/blob/main/examples/model_configs_template/zhipu_chat_template.json) | glm-4, ... |
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| | Embedding | [`ZhipuAIEmbeddingWrapper`](https://github.com/modelscope/agentscope/blob/main/src/agentscope/models/zhipu_model.py) | [guidance](https://modelscope.github.io/agentscope/en/tutorial/203-model.html#zhipu-api) <br> [template](https://github.com/modelscope/agentscope/blob/main/examples/model_configs_template/zhipu_embedding_template.json) | embedding-2, ... |
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| ollama | Chat | [`OllamaChatWrapper`](https://github.com/modelscope/agentscope/blob/main/src/agentscope/models/ollama_model.py) | [guidance](https://modelscope.github.io/agentscope/en/tutorial/203-model.html#ollama-api) <br> [template](https://github.com/modelscope/agentscope/blob/main/examples/model_configs_template/ollama_chat_template.json) | llama3, llama2, Mistral, ... |
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| | Embedding | [`OllamaEmbeddingWrapper`](https://github.com/modelscope/agentscope/blob/main/src/agentscope/models/ollama_model.py) | [guidance](https://modelscope.github.io/agentscope/en/tutorial/203-model.html#ollama-api) <br> [template](https://github.com/modelscope/agentscope/blob/main/examples/model_configs_template/ollama_embedding_template.json) | llama2, Mistral, ... |
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| | Generation | [`OllamaGenerationWrapper`](https://github.com/modelscope/agentscope/blob/main/src/agentscope/models/ollama_model.py) | [guidance](https://modelscope.github.io/agentscope/en/tutorial/203-model.html#ollama-api) <br> [template](https://github.com/modelscope/agentscope/blob/main/examples/model_configs_template/ollama_generate_template.json) | llama2, Mistral, ... |
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| LiteLLM API | Chat | [`LiteLLMChatWrapper`](https://github.com/modelscope/agentscope/blob/main/src/agentscope/models/litellm_model.py) | [guidance](https://modelscope.github.io/agentscope/en/tutorial/203-model.html#litellm-api) <br> [template](https://github.com/modelscope/agentscope/blob/main/examples/model_configs_template/litellm_chat_template.json) | [models supported by litellm](https://docs.litellm.ai/docs/)... |
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| Post Request based API | - | [`PostAPIModelWrapper`](https://github.com/modelscope/agentscope/blob/main/src/agentscope/models/post_model.py) | [guidance](https://modelscope.github.io/agentscope/en/tutorial/203-model.html#post-request-api) <br> [template](https://github.com/modelscope/agentscope/blob/main/examples/model_configs_template/postapi_model_config_template.json) | - |
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**支持的本地模型部署**
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AgentScope支持使用以下库快速部署本地模型服务。
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- [ollama (CPU inference)](https://github.com/modelscope/agentscope/blob/main/scripts/README.md#ollama)
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- [Flask + Transformers](https://github.com/modelscope/agentscope/blob/main/scripts/README.md#with-transformers-library)
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- [Flask + ModelScope](https://github.com/modelscope/agentscope/blob/main/scripts/README.md#with-modelscope-library)
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- [FastChat](https://github.com/modelscope/agentscope/blob/main/scripts/README.md#fastchat)
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- [vllm](https://github.com/modelscope/agentscope/blob/main/scripts/README.md#vllm)
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**支持的服务**
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- 网络搜索
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- 数据查询
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- 数据检索
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- 代码执行
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- 文件操作
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- 文本处理
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- 多模态生成
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**样例应用**
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- 模型
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- <img src="https://img.alicdn.com/imgextra/i3/O1CN01SFL0Gu26nrQBFKXFR_!!6000000007707-2-tps-500-500.png" alt="new" width="30" height="30"/>[在AgentScope中使用Llama3](./examples/model_llama3)
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- 对话
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- [基础对话](./examples/conversation_basic)
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- [带有@功能的自主对话](./examples/conversation_with_mentions)
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- [智能体自组织的对话](./examples/conversation_self_organizing)
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- [兼容LangChain的基础对话](./examples/conversation_with_langchain)
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- [与ReAct智能体对话](./examples/conversation_with_react_agent)
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- [通过对话查询SQL信息](./examples/conversation_nl2sql/)
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- [与RAG智能体对话](./examples/conversation_with_RAG_agents)
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- <img src="https://img.alicdn.com/imgextra/i3/O1CN01SFL0Gu26nrQBFKXFR_!!6000000007707-2-tps-500-500.png" alt="new" width="30" height="30"/>[与gpt-4o模型对话](./examples/conversation_with_gpt-4o)
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- <img src="https://img.alicdn.com/imgextra/i3/O1CN01SFL0Gu26nrQBFKXFR_!!6000000007707-2-tps-500-500.png" alt="new" width="30" height="30"/>[与SoftWare Engineering智能体对话](./examples/conversation_with_swe-agent/)
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- <img src="https://img.alicdn.com/imgextra/i3/O1CN01SFL0Gu26nrQBFKXFR_!!6000000007707-2-tps-500-500.png" alt="new" width="30" height="30"/>[与自定义服务对话](./examples/conversation_with_customized_services/)
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- 游戏
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- [五子棋](./examples/game_gomoku)
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- [狼人杀](./examples/game_werewolf)
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- 分布式
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- [分布式对话](./examples/distributed_conversation)
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- [分布式辩论](./examples/distributed_debate)
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- [分布式并行优化](./examples/distributed_parallel_optimization)
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- [分布式大规模仿真](./examples/distributed_simulation)
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更多模型API、服务和示例即将推出！
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## 安装
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AgentScope需要Python 3.9或更高版本。
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***注意：该项目目前正在积极开发中，建议从源码安装AgentScope。***
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### 从源码安装
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- 以编辑模式安装AgentScope：
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```bash
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# 从github拉取源代码
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git clone https://github.com/modelscope/agentscope.git
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# 以编辑模式安装包
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cd agentscope
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pip install -e .
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```
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- 构建分布式多智能体应用需要按照以下方式安装：
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```bash
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# 在windows上
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pip install -e .[distribute]
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# 在mac上
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pip install -e .\[distribute\]
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```
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### 使用pip
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- 从pip安装的AgentScope
|
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|
||||
```bash
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||||
pip install agentscope --pre
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||||
```
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## 快速开始
|
||||
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### 配置
|
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|
||||
AgentScope中，模型的部署和调用是通过`ModelWrapper`实现解耦的。
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|
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为了使用这些`ModelWrapper`, 您需要准备如下的模型配置文件：
|
||||
|
||||
```python
|
||||
model_config = {
|
||||
# 模型配置的名称，以及使用的模型wrapper
|
||||
"config_name": "{your_config_name}", # 模型配置的名称
|
||||
"model_type": "{model_type}", # 模型wrapper的类型
|
||||
|
||||
# 用以初始化模型wrapper的详细参数
|
||||
# ...
|
||||
}
|
||||
```
|
||||
|
||||
以OpenAI Chat API为例，模型配置如下：
|
||||
|
||||
```python
|
||||
openai_model_config = {
|
||||
"config_name": "my_openai_config", # 模型配置的名称
|
||||
"model_type": "openai_chat", # 模型wrapper的类型
|
||||
|
||||
# 用以初始化模型wrapper的详细参数
|
||||
"model_name": "gpt-4", # OpenAI API中的模型名
|
||||
"api_key": "xxx", # OpenAI API的API密钥。如果未设置，将使用环境变量OPENAI_API_KEY。
|
||||
"organization": "xxx", # OpenAI API的组织。如果未设置，将使用环境变量OPENAI_ORGANIZATION。
|
||||
}
|
||||
```
|
||||
|
||||
关于部署本地模型服务和准备模型配置的更多细节，请参阅我们的[教程](https://modelscope.github.io/agentscope/index.html#welcome-to-agentscope-tutorial-hub)。
|
||||
|
||||
### 创建Agent
|
||||
|
||||
创建AgentScope内置的`DialogAgent`和`UserAgent`对象.
|
||||
|
||||
```python
|
||||
from agentscope.agents import DialogAgent, UserAgent
|
||||
import agentscope
|
||||
|
||||
# 加载模型配置
|
||||
agentscope.init(model_configs="./model_configs.json")
|
||||
|
||||
# 创建对话Agent和用户Agent
|
||||
dialog_agent = DialogAgent(name="assistant",
|
||||
model_config_name="my_openai_config")
|
||||
user_agent = UserAgent()
|
||||
```
|
||||
|
||||
#### 构造对话
|
||||
|
||||
在AgentScope中，**Message**是Agent之间的桥梁，它是一个python**字典**（dict），包含两个必要字段`name`和`content`，以及一个可选字段`url`用于本地文件（图片、视频或音频）或网络链接。
|
||||
|
||||
```python
|
||||
from agentscope.message import Msg
|
||||
|
||||
x = Msg(name="Alice", content="Hi!")
|
||||
x = Msg("Bob", "What about this picture I took?", url="/path/to/picture.jpg")
|
||||
```
|
||||
|
||||
使用以下代码开始两个Agent（dialog_agent和user_agent）之间的对话：
|
||||
|
||||
```python
|
||||
x = None
|
||||
while True:
|
||||
x = dialog_agent(x)
|
||||
x = user_agent(x)
|
||||
if x.content == "exit": # 用户输入"exit"退出对话
|
||||
break
|
||||
```
|
||||
|
||||
### AgentScope前端
|
||||
|
||||
AgentScope 提供了一个易于使用的运行时用户界面，能够在前端显示多模态输出，包括文本、图像、音频和视频。
|
||||
|
||||
参考我们的[教程](https://modelscope.github.io/agentscope/zh_CN/tutorial/209-gui.html)了解更多细节。
|
||||
|
||||
<h5 align="center">
|
||||
<img src="https://img.alicdn.com/imgextra/i4/O1CN015kjnkd1xdwJoNxqLZ_!!6000000006467-0-tps-3452-1984.jpg" width="600" alt="agentscope-logo">
|
||||
</h5>
|
||||
|
||||
## 教程
|
||||
|
||||
- [关于AgentScope](https://modelscope.github.io/agentscope/zh_CN/tutorial/101-agentscope.html)
|
||||
- [安装](https://modelscope.github.io/agentscope/zh_CN/tutorial/102-installation.html)
|
||||
- [快速开始](https://modelscope.github.io/agentscope/zh_CN/tutorial/103-example.html)
|
||||
- [模型](https://modelscope.github.io/agentscope/zh_CN/tutorial/203-model.html)
|
||||
- [提示工程](https://modelscope.github.io/agentscope/zh_CN/tutorial/206-prompt.html)
|
||||
- [Agent](https://modelscope.github.io/agentscope/zh_CN/tutorial/201-agent.html)
|
||||
- [记忆](https://modelscope.github.io/agentscope/zh_CN/tutorial/205-memory.html)
|
||||
- [结果解析](https://modelscope.github.io/agentscope/zh_CN/tutorial/203-parser.html)
|
||||
- [工具](https://modelscope.github.io/agentscope/zh_CN/tutorial/204-service.html)
|
||||
- [Pipeline和MsgHub](https://modelscope.github.io/agentscope/zh_CN/tutorial/202-pipeline.html)
|
||||
- [分布式](https://modelscope.github.io/agentscope/zh_CN/tutorial/208-distribute.html)
|
||||
- [AgentScope Studio](https://modelscope.github.io/agentscope/zh_CN/tutorial/209-gui.html)
|
||||
- [日志](https://modelscope.github.io/agentscope/zh_CN/tutorial/105-logging.html)
|
||||
- [监控器](https://modelscope.github.io/agentscope/zh_CN/tutorial/207-monitor.html)
|
||||
- [样例：狼人杀游戏](https://modelscope.github.io/agentscope/zh_CN/tutorial/104-usecase.html)
|
||||
|
||||
## License
|
||||
|
||||
AgentScope根据Apache License 2.0发布。
|
||||
|
||||
## 贡献
|
||||
|
||||
欢迎参与到AgentScope的构建中！
|
||||
|
||||
我们提供了一个带有额外 pre-commit 钩子以执行检查的开发者版本，与官方版本相比：
|
||||
|
||||
```bash
|
||||
# 对于windows
|
||||
pip install -e .[dev]
|
||||
# 对于mac
|
||||
pip install -e .\[dev\]
|
||||
# 安装pre-commit钩子
|
||||
pre-commit install
|
||||
```
|
||||
|
||||
请参阅我们的[贡献指南](https://modelscope.github.io/agentscope/zh_CN/tutorial/302-contribute.html)了解更多细节。
|
||||
|
||||
## 引用
|
||||
|
||||
如果您觉得我们的工作对您的研究或应用有帮助，请引用[我们的论文](https://arxiv.org/abs/2402.14034)。
|
||||
|
||||
```
|
||||
@article{agentscope,
|
||||
author = {Dawei Gao and
|
||||
Zitao Li and
|
||||
Xuchen Pan and
|
||||
Weirui Kuang and
|
||||
Zhijian Ma and
|
||||
Bingchen Qian and
|
||||
Fei Wei and
|
||||
Wenhao Zhang and
|
||||
Yuexiang Xie and
|
||||
Daoyuan Chen and
|
||||
Liuyi Yao and
|
||||
Hongyi Peng and
|
||||
Zeyu Zhang and
|
||||
Lin Zhu and
|
||||
Chen Cheng and
|
||||
Hongzhu Shi and
|
||||
Yaliang Li and
|
||||
Bolin Ding and
|
||||
Jingren Zhou},
|
||||
title = {AgentScope: A Flexible yet Robust Multi-Agent Platform},
|
||||
journal = {CoRR},
|
||||
volume = {abs/2402.14034},
|
||||
year = {2024},
|
||||
}
|
||||
```
|
||||
Reference in New Issue
Block a user