Update tutorial for the new version

README.md

@@ -31,29 +31,27 @@ Welcome to join our community on
 
 ## News
 
+- <img src="https://img.alicdn.com/imgextra/i3/O1CN01SFL0Gu26nrQBFKXFR_!!6000000007707-2-tps-500-500.png" alt="new" width="30" height="30"/>**[2024-06-09]** We release **AgentScope** v0.0.5 now! In this new version, [**AgentScope Workstation**](https://modelscope.github.io/agentscope/en/tutorial/209-gui.html) is open-sourced with the refactored [**AgentScope Studio**](https://modelscope.github.io/agentscope/en/tutorial/209-gui.html)!
+
 - <img src="https://img.alicdn.com/imgextra/i3/O1CN01SFL0Gu26nrQBFKXFR_!!6000000007707-2-tps-500-500.png" alt="new" width="30" height="30"/>**[2024-05-24]** We are pleased to announce that features related to the **AgentScope Workstation** will soon be open-sourced! The online website services are temporarily offline. The online website service will be upgraded and back online shortly. Stay tuned...
 
 - <img src="https://img.alicdn.com/imgextra/i3/O1CN01SFL0Gu26nrQBFKXFR_!!6000000007707-2-tps-500-500.png" alt="new" width="30" height="30"/>**[2024-05-15]** A new **Parser Module** for **formatted response** is added in AgentScope! Refer to our [tutorial](https://modelscope.github.io/agentscope/en/tutorial/203-parser.html) for more details. The [`DictDialogAgent`](https://github.com/modelscope/agentscope/blob/main/src/agentscope/agents/dict_dialog_agent.py) and [werewolf game](https://github.com/modelscope/agentscope/tree/main/examples/game_werewolf) example are updated simultaneously.
 
-
-
-https://github.com/DavdGao/AgentScope/assets/102287034/d9acf581-20d2-4294-8d10-97cde6c653c7
-
-
+<https://github.com/DavdGao/AgentScope/assets/102287034/d9acf581-20d2-4294-8d10-97cde6c653c7>
 
 - <img src="https://img.alicdn.com/imgextra/i3/O1CN01SFL0Gu26nrQBFKXFR_!!6000000007707-2-tps-500-500.png" alt="new" width="30" height="30"/>**[2024-05-14]** Dear AgentScope users, we are conducting a survey on **AgentScope Workstation & Copilot** user experience. We currently need your valuable feedback to help us improve the experience of AgentScope's Drag & Drop multi-agent application development and Copilot. Your feedback is valuable and the survey will take about 3~5 minutes. Please click [URL](https://survey.aliyun.com/apps/zhiliao/vgpTppn22) to participate in questionnaire surveys. Thank you very much for your support and contribution!
 
 - <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 supports **gpt-4o** as well as other OpenAI vision models now! Try gpt-4o with its [model configuration](./examples/model_configs_template/openai_chat_template.json) and new example [Conversation with gpt-4o](./examples/conversation_with_gpt-4o)!
 
-- <img src="https://img.alicdn.com/imgextra/i3/O1CN01SFL0Gu26nrQBFKXFR_!!6000000007707-2-tps-500-500.png" alt="new" width="30" height="30"/>**[2024-04-30]** We release **AgentScope** v0.0.4 now!
+- **[2024-04-30]** We release **AgentScope** v0.0.4 now!
 
-- <img src="https://img.alicdn.com/imgextra/i3/O1CN01SFL0Gu26nrQBFKXFR_!!6000000007707-2-tps-500-500.png" alt="new" width="30" height="30"/>**[2024-04-27]** [AgentScope Workstation](https://agentscope.aliyun.com/) is now online! You are welcome to try building your multi-agent application simply with our *drag-and-drop platform* and ask our *copilot* questions about AgentScope!
+- **[2024-04-27]** [AgentScope Workstation](https://agentscope.aliyun.com/) is now online! You are welcome to try building your multi-agent application simply with our *drag-and-drop platform* and ask our *copilot* questions about AgentScope!
 
 - **[2024-04-19]** AgentScope supports Llama3 now! We provide [scripts](https://github.com/modelscope/agentscope/blob/main/examples/model_llama3) and example [model configuration](https://github.com/modelscope/agentscope/blob/main/examples/model_llama3) for quick set-up. Feel free to try llama3 in our examples!
 
 - **[2024-04-06]** We release **AgentScope** v0.0.3 now!
 
-- **[2024-04-06]** New examples [Gomoku](https://github.com/modelscope/agentscope/blob/main/examples/game_gomoku), [Conversation with ReAct Agent](https://github.com/modelscope/agentscope/blob/main/examples/conversation_with_react_agent), [Conversation with RAG Agent](https://github.com/modelscope/agentscope/blob/main/examples/conversation_with_RAG_agents) and [Distributed Parallel Search](https://github.com/modelscope/agentscope/blob/main/examples/distributed_search) are available now!
+- **[2024-04-06]** New examples [Gomoku](https://github.com/modelscope/agentscope/blob/main/examples/game_gomoku), [Conversation with ReAct Agent](https://github.com/modelscope/agentscope/blob/main/examples/conversation_with_react_agent), [Conversation with RAG Agent](https://github.com/modelscope/agentscope/blob/main/examples/conversation_with_RAG_agents) and [Distributed Parallel Optimization](https://github.com/modelscope/agentscope/blob/main/examples/distributed_parallel_optimization) are available now!
 
 - **[2024-03-19]** We release **AgentScope** v0.0.2 now! In this new version,
 AgentScope supports [ollama](https://modelscope.github.io/agentscope/en/tutorial/203-model.html#supported-models)(A local CPU inference engine), [DashScope](https://modelscope.github.io/agentscope/en/tutorial/203-model.html#supported-models) and Google [Gemini](https://modelscope.github.io/agentscope/en/tutorial/203-model.html#supported-models) APIs.
@@ -143,7 +141,7 @@ the following libraries.
   - [Conversation in Natural Language to Query SQL](https://github.com/modelscope/agentscope/blob/main/examples/conversation_nl2sql/)
   - [Conversation with RAG Agent](https://github.com/modelscope/agentscope/blob/main/examples/conversation_with_RAG_agents)
   - <img src="https://img.alicdn.com/imgextra/i3/O1CN01SFL0Gu26nrQBFKXFR_!!6000000007707-2-tps-500-500.png" alt="new" width="30" height="30"/>[Conversation with gpt-4o](https://github.com/modelscope/agentscope/blob/main/examples/conversation_with_gpt-4o)
-  - <img src="https://img.alicdn.com/imgextra/i3/O1CN01SFL0Gu26nrQBFKXFR_!!6000000007707-2-tps-500-500.png" alt="new" width="30" height="30"/>[Conversation with Software Engineering Agent](https://github.com/modelscope/agentscope/blob/main/examples/swe_agent/)
+  - <img src="https://img.alicdn.com/imgextra/i3/O1CN01SFL0Gu26nrQBFKXFR_!!6000000007707-2-tps-500-500.png" alt="new" width="30" height="30"/>[Conversation with Software Engineering Agent](https://github.com/modelscope/agentscope/blob/main/examples/conversation_with_swe-agent/)
   - <img src="https://img.alicdn.com/imgextra/i3/O1CN01SFL0Gu26nrQBFKXFR_!!6000000007707-2-tps-500-500.png" alt="new" width="30" height="30"/>[Conversation with Customized Services](https://github.com/modelscope/agentscope/blob/main/examples/conversation_with_customized_services/)
 
 - Game
@@ -153,7 +151,7 @@ the following libraries.
 - Distribution
   - [Distributed Conversation](https://github.com/modelscope/agentscope/blob/main/examples/distributed_conversation)
   - [Distributed Debate](https://github.com/modelscope/agentscope/blob/main/examples/distributed_debate)
-  - [Distributed Parallel Search](https://github.com/modelscope/agentscope/blob/main/examples/distributed_search)
+  - [Distributed Parallel Optimization](https://github.com/modelscope/agentscope/blob/main/examples/distributed_parallel_optimization)
   - [Distributed Large Scale Simulation](https://github.com/modelscope/agentscope/blob/main/examples/distributed_simulation)
 
 More models, services and examples are coming soon!
@@ -192,7 +190,7 @@ pip install -e .\[distribute\]
 - Install AgentScope from pip:
 
 ```bash
-pip install agentscope
+pip install agentscope --pre
 ```
 
 ## Quick Start

README_ZH.md

@@ -28,6 +28,8 @@
 
 ## 新闻
 
+- <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)！
+
 - <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...
 
 - <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！
@@ -36,15 +38,15 @@
 
 - <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!
 
-- <img src="https://img.alicdn.com/imgextra/i3/O1CN01SFL0Gu26nrQBFKXFR_!!6000000007707-2-tps-500-500.png" alt="new" width="30" height="30"/>**[2024-04-30]** 我们现在发布了**AgentScope** v0.0.4版本！
+- **[2024-04-30]** 我们现在发布了**AgentScope** v0.0.4版本！
 
-- <img src="https://img.alicdn.com/imgextra/i3/O1CN01SFL0Gu26nrQBFKXFR_!!6000000007707-2-tps-500-500.png" alt="new" width="30" height="30"/>**[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！
+- **[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！
 
 - **[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！
 
 - **[2024-04-06]** 我们现在发布了**AgentScope** v0.0.3版本！
 
-- **[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)”，“[分布式并行搜索](./examples/distributed_search)”上线了！
+- **[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！
 
 - **[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。
 
@@ -125,18 +127,17 @@ AgentScope支持使用以下库快速部署本地模型服务。
   - [通过对话查询SQL信息](./examples/conversation_nl2sql/)
   - [与RAG智能体对话](./examples/conversation_with_RAG_agents)
   - <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)
-  - <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/swe_agent/)
+  - <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/)
   - <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/)
 
-
 - 游戏
   - [五子棋](./examples/game_gomoku)
   - [狼人杀](./examples/game_werewolf)
 
 - 分布式
   - [分布式对话](./examples/distributed_conversation)
   - [分布式辩论](./examples/distributed_debate)
-  - [分布式并行搜索](./examples/distributed_search)
+  - [分布式并行优化](./examples/distributed_parallel_optimization)
   - [分布式大规模仿真](./examples/distributed_simulation)
 
 更多模型API、服务和示例即将推出！
@@ -173,7 +174,7 @@ pip install -e .\[distribute\]
 - 从pip安装的AgentScope
 
 ```bash
-pip install agentscope
+pip install agentscope --pre
 ```
 
 ## 快速开始

docs/sphinx_doc/en/source/index.rst

@@ -18,8 +18,23 @@ AgentScope Documentation
    :hidden:
    :caption: AgentScope Tutorial
 
-   tutorial/quick_start.rst
-   tutorial/advance.rst
+   tutorial/101-agentscope.md
+   tutorial/102-installation.md
+   tutorial/103-example.md
+
+   tutorial/203-model.md
+   tutorial/206-prompt.md
+   tutorial/201-agent.md
+   tutorial/205-memory.md
+   tutorial/203-parser.md
+   tutorial/204-service.md
+   tutorial/202-pipeline.md
+   tutorial/208-distribute.md
+   tutorial/209-gui.md
+   tutorial/105-logging.md
+   tutorial/207-monitor.md
+   tutorial/104-usecase.md
+
    tutorial/contribute.rst
 
 
@@ -41,11 +56,4 @@ AgentScope Documentation
    agentscope.server
    agentscope.web
    agentscope.prompt
-   agentscope.utils
-
-Indices and tables
-==================
-
-* :ref:`genindex`
-* :ref:`modindex`
-* :ref:`search`
+   agentscope.utils

docs/sphinx_doc/en/source/tutorial/102-installation.md

@@ -41,9 +41,9 @@ If you prefer to install AgentScope from Pypi, you can do so easily using `pip`:
 
 ```bash
 # For centralized multi-agent applications
-pip install agentscope
+pip install agentscope --pre
 # For distributed multi-agent applications
-pip install agentscope[distribute]  # On Mac use `pip install agentscope\[distribute\]`
+pip install agentscope[distribute] --pre # On Mac use `pip install agentscope\[distribute\] --pre`
 ```
 
 ### Install from Source

docs/sphinx_doc/en/source/tutorial/104-usecase.md

@@ -1,11 +1,9 @@
 (104-usecase-en)=
 
-# Crafting Your First Application
+# Example: Werewolf Game
 
 <img src="https://img.alicdn.com/imgextra/i3/O1CN01dFpOh82643mygUh2Z_!!6000000007607-2-tps-1024-1024.png" alt="img" style="zoom:25%;" />
 
-Before diving into the advanced topics of AgentScope, in this tutorial, we will give you a glance at building a Werewolf application with out-of-the-box components of AgentScope.
-
 **Werewolf** is a well-known social-deduction game, that involves an imaginary village where a few villagers are secretly werewolves, and the objective is to identify who they are before they eliminate all other players. It's a good use case to demonstrate the interaction between multiple autonomous agents, each with its own objectives and the need for communication.
 
 Let the adventure begin to unlock the potential of multi-agent applications with AgentScope!

docs/sphinx_doc/en/source/tutorial/105-logging.md

@@ -1,6 +1,6 @@
 (105-logging-en)=
 
-# Logging and WebUI
+# Logging
 
 Welcome to the tutorial on logging in multi-agent applications with AgentScope. We'll also touch on how you can visualize these logs using a simple web interface. This guide will help you track the agent's interactions and system information in a clearer and more organized way.
 
@@ -62,34 +62,4 @@ logger.warning("The agent is running slower than expected.")
 logger.error("The agent encountered an unexpected error while processing a request.")
 ```
 
-## Integrating logging with WebUI
-
-To visualize these logs and running details, AgentScope provides a simple
-web interface.
-
-### Quick Running
-
-You can run the WebUI in the following python code:
-
-```python
-import agentscope
-
-agentscope.web.init(
-    path_save="YOUR_SAVE_PATH"
-)
-```
-
-By this way, you can see all the running instances and projects in `http://127.0.0.1:5000` as follows:
-
-![webui](https://img.alicdn.com/imgextra/i3/O1CN01kpHFkn1HpeYEkn60I_!!6000000000807-0-tps-3104-1849.jpg)
-
-By clicking a running instance, we can observe more details.
-
-![The running details](https://img.alicdn.com/imgextra/i2/O1CN01AZtsf31MIHm4FmjjO_!!6000000001411-0-tps-3104-1849.jpg)
-
-### Note
-
-The WebUI is still under development. We will provide more features and
-better user experience in the future.
-
 [[Return to the top]](#105-logging-en)

docs/sphinx_doc/en/source/tutorial/201-agent.md

@@ -1,6 +1,6 @@
 (201-agent-en)=
 
-# Customizing Your Own Agent
+# Agent
 
 This tutorial helps you to understand the `Agent` in more depth and navigate through the process of crafting your own custom agent with AgentScope. We start by introducing the fundamental abstraction called `AgentBase`, which serves as the base class to maintain the general behaviors of all agents. Then, we will go through the *AgentPool*, an ensemble of pre-built, specialized agents, each designed with a specific purpose in mind. Finally, we will demonstrate how to customize your own agent, ensuring it fits the needs of your project.
 

docs/sphinx_doc/en/source/tutorial/203-parser.md

@@ -1,6 +1,6 @@
 (203-parser-en)=
 
-# Model Response Parser
+# Response Parser
 
 ## Table of Contents
 

docs/sphinx_doc/en/source/tutorial/204-service.md

@@ -1,6 +1,6 @@
 (204-service-en)=
 
-# Service
+# Tool
 
 Service function is a set of multi-functional utility tools that can be
 used to enhance the capabilities of agents, such as executing Python code,

docs/sphinx_doc/en/source/tutorial/main.md

@@ -1,4 +1,4 @@
-# Welcome to AgentScope Tutorial Hub
+# Welcome to AgentScope Tutorial
 
 AgentScope is an innovative multi-agent platform designed to empower developers to build multi-agent applications with ease, reliability, and high performance. It features three high-level capabilities:
 
@@ -10,26 +10,23 @@ AgentScope is an innovative multi-agent platform designed to empower developers
 
 ## Tutorial Navigator
 
-### Getting Started
-
-- [About AgentScope](101-agentscope-en)
-- [Installation](102-installation-en)
-- [Quick Start](103-start-en)
-- [Crafting Your First Application](104-usecase-en)
-- [Logging and WebUI](105-logging-en)
-
-### Advanced Exploration
-
-- [Customizing Your Own Agent](201-agent-en)
-- [Pipeline and MsgHub](202-pipeline-en)
-- [Model](203-model-en)
-- [Service](204-service-en)
-- [Memory](205-memory-en)
-- [Prompt Engineering](206-prompt-en)
-- [Monitor](207-monitor-en)
-- [Distribution](208-distribute-en)
+- [About AgentScope](101-agentscope.md)
+- [Installation](102-installation.md)
+- [Quick Start](103-example.md)
+- [Model](203-model.md)
+- [Prompt Engineering](206-prompt.md)
+- [Agent](201-agent.md)
+- [Memory](205-memory.md)
+- [Response Parser](203-parser.md)
+- [Tool](204-service.md)
+- [Pipeline and MsgHub](202-pipeline.md)
+- [Distribution](208-distribute.md)
+- [AgentScope Studio](209-gui.md)
+- [Logging](105-logging.md)
+- [Monitor](207-monitor.md)
+- [Example: Werewolf Game](104-usecase.md)
 
 ### Getting Involved
 
-- [Joining AgentScope Community](301-community-en)
-- [Contribute to AgentScope](302-contribute-en)
+- [Joining AgentScope Community](301-community.md)
+- [Contribute to AgentScope](302-contribute.md)