diff --git a/en/.doctrees/environment.pickle b/en/.doctrees/environment.pickle
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diff --git a/en/.doctrees/index.doctree b/en/.doctrees/index.doctree
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diff --git a/zh_CN/.doctrees/environment.pickle b/zh_CN/.doctrees/environment.pickle
index 05c0752e2..009e7ffd1 100644
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diff --git a/zh_CN/.doctrees/index.doctree b/zh_CN/.doctrees/index.doctree
index de50ce1bf..7fc0dae1b 100644
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diff --git a/zh_CN/.doctrees/tutorial/208-distribute.doctree b/zh_CN/.doctrees/tutorial/208-distribute.doctree
index 0b89d9a26..f81c7e335 100644
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diff --git a/zh_CN/_sources/tutorial/208-distribute.md.txt b/zh_CN/_sources/tutorial/208-distribute.md.txt
index a185bd5da..11b0ef070 100644
--- a/zh_CN/_sources/tutorial/208-distribute.md.txt
+++ b/zh_CN/_sources/tutorial/208-distribute.md.txt
@@ -252,13 +252,13 @@ D-->F
 其中，`B`和`C`可以在接收到来自`A`的消息后同时启动执行，而`E`可以立即运行，无需等待`A`、`B`、`C`和`D`。
 通过将每个Agent实现为一个Actor， Agent将自动等待其输入Msg准备好后开始执行`reply`方法，并且如果多个 Agent 的输入消息准备就绪，它们也可以同时自动执行`reply`，这避免了复杂的并行控制。
 
-#### PlaceHolder
+#### Placeholder
 
 同时，为了支持中心化的应用编排，AgentScope 引入了 {class}`Placeholder<agentscope.message.PlaceholderMessage>` 这一概念。
 Placeholder 可以理解为消息的指针，指向消息真正产生的位置，其对外接口与传统模式中的消息完全一致，因此可以按照传统中心化的消息使用方式编排应用。
 Placeholder 内部包含了该消息产生方的联络方法，可以通过网络获取到被指向消息的真正值。
 每个分布式部署的 Agent 在收到其他 Agent 发来的消息时都会立即返回一个 Placeholder，从而避免阻塞请求发起方。
-而请求发起方可以借助返回的 Placeholder 在真正需要消息内容时再去向原 Agent 发起请求，请求发起方甚至可以将 Placholder 发送给其他 Agent 让其他 Agent 代为获取消息内容，从而减少消息真实内容的不必要转发。
+而请求发起方可以借助返回的 Placeholder 在真正需要消息内容时再去向原 Agent 发起请求，请求发起方甚至可以将 Placeholder 发送给其他 Agent 让其他 Agent 代为获取消息内容，从而减少消息真实内容的不必要转发。
 
 关于更加详细的技术实现方案，请参考我们的[论文](https://arxiv.org/abs/2402.14034)。
 
diff --git a/zh_CN/objects.inv b/zh_CN/objects.inv
index 016107390..05d7e76db 100644
Binary files a/zh_CN/objects.inv and b/zh_CN/objects.inv differ
diff --git a/zh_CN/searchindex.js b/zh_CN/searchindex.js
index 860a2ae0f..e8541d96d 100644
--- a/zh_CN/searchindex.js
+++ b/zh_CN/searchindex.js
@@ -1 +1 @@
-Search.setIndex({"alltitles": {"About Workstation": [[111, "about-workstation"]], "Actor\u6a21\u5f0f": [[110, "actor"]], "Agent": [[102, "agent"]], "Agent Server": [[110, "agent-server"]], "AgentScope API \u6587\u6863": [[95, null]], "AgentScope Studio": [[111, "agentscope-studio"]], "AgentScope \u6587\u6863": [[95, "agentscope"]], "AgentScope\u4ee3\u7801\u7ed3\u6784": [[97, "id5"]], "AgentScope\u662f\u5982\u4f55\u8bbe\u8ba1\u7684\uff1f": [[97, "id4"]], "DashScope API": [[104, "dashscope-api"]], "DashScopeChatWrapper": [[108, "dashscopechatwrapper"]], "DashScopeMultiModalWrapper": [[108, "dashscopemultimodalwrapper"]], "Dashboard": [[111, "dashboard"]], "DialogAgent": [[102, "dialogagent"]], "Discord": [[113, "discord"]], "ForLoopPipeline": [[103, "forlooppipeline"]], "Fork\u548cClone\u4ed3\u5e93": [[114, "forkclone"]], "Gemini API": [[104, "gemini-api"]], "GeminiChatWrapper": [[108, "geminichatwrapper"]], "GitHub": [[113, "github"]], "IfElsePipeline": [[103, "ifelsepipeline"]], "JSON / Python \u5bf9\u8c61\u7c7b\u578b": [[105, "json-python"]], "Knowledge": [[112, "knowledge"]], "Knowledge Bank": [[112, "knowledge-bank"]], "LiteLLM Chat API": [[104, "litellm-chat-api"]], "LiteLLMChatWrapper": [[108, "litellmchatwrapper"]], "Logging": [[101, "logging"]], "Logging a Chat Message": [[101, "logging-a-chat-message"]], "MarkdownCodeBlockParser": [[105, "markdowncodeblockparser"]], "MarkdownJsonDictParser": [[105, "markdownjsondictparser"]], "MarkdownJsonObjectParser": [[105, "markdownjsonobjectparser"]], "MsgHub": [[103, "msghub"]], "MultiTaggedContentParser": [[105, "multitaggedcontentparser"]], "Ollama API": [[104, "ollama-api"]], "OllamaChatWrapper": [[108, "ollamachatwrapper"]], "OllamaGenerationWrapper": [[108, "ollamagenerationwrapper"]], "OpenAI API": [[104, "openai-api"]], "OpenAIChatWrapper": [[108, "openaichatwrapper"]], "Pipeline": [[103, "pipeline"]], "Pipeline \u7ec4\u5408": [[103, "id3"]], "Pipeline\u548cMsgHub": [[103, "pipelinemsghub"]], "PlaceHolder": [[110, "placeholder"]], "Post Request API": [[104, "post-request-api"]], "RAG \u667a\u80fd\u4f53": [[112, "rag"]], "ReAct \u667a\u80fd\u4f53\u548c\u5de5\u5177\u4f7f\u7528": [[105, "react"]], "SequentialPipeline": [[103, "sequentialpipeline"]], "Service\u51fd\u6570\u6982\u89c8": [[106, "service"]], "SwitchPipeline": [[103, "switchpipeline"]], "UserAgent": [[102, "useragent"]], "WhileLoopPipeline": [[103, "whilelooppipeline"]], "ZhipuAI API": [[104, "zhipuai-api"]], "ZhipuAIChatWrapper": [[108, "zhipuaichatwrapper"]], "agentscope": [[0, "module-agentscope"], [96, "agentscope"]], "agentscope.agents": [[1, "module-agentscope.agents"]], "agentscope.agents.agent": [[2, "module-agentscope.agents.agent"]], "agentscope.agents.dialog_agent": [[3, "module-agentscope.agents.dialog_agent"]], "agentscope.agents.dict_dialog_agent": [[4, "module-agentscope.agents.dict_dialog_agent"]], "agentscope.agents.operator": [[5, "module-agentscope.agents.operator"]], "agentscope.agents.rag_agent": [[6, "module-agentscope.agents.rag_agent"]], "agentscope.agents.react_agent": [[7, "module-agentscope.agents.react_agent"]], "agentscope.agents.rpc_agent": [[8, "module-agentscope.agents.rpc_agent"]], "agentscope.agents.text_to_image_agent": [[9, "module-agentscope.agents.text_to_image_agent"]], "agentscope.agents.user_agent": [[10, "module-agentscope.agents.user_agent"]], "agentscope.constants": [[11, "module-agentscope.constants"]], "agentscope.exception": [[12, "module-agentscope.exception"]], "agentscope.file_manager": [[13, "module-agentscope.file_manager"]], "agentscope.logging": [[14, "module-agentscope.logging"]], "agentscope.memory": [[15, "module-agentscope.memory"]], "agentscope.memory.memory": [[16, "module-agentscope.memory.memory"]], "agentscope.memory.temporary_memory": [[17, "module-agentscope.memory.temporary_memory"]], "agentscope.message": [[18, "module-agentscope.message"]], "agentscope.models": [[19, "module-agentscope.models"]], "agentscope.models.config": [[20, "module-agentscope.models.config"]], "agentscope.models.dashscope_model": [[21, "module-agentscope.models.dashscope_model"]], "agentscope.models.gemini_model": [[22, "module-agentscope.models.gemini_model"]], "agentscope.models.litellm_model": [[23, "module-agentscope.models.litellm_model"]], "agentscope.models.model": [[24, "module-agentscope.models.model"]], "agentscope.models.ollama_model": [[25, "module-agentscope.models.ollama_model"]], "agentscope.models.openai_model": [[26, "module-agentscope.models.openai_model"]], "agentscope.models.post_model": [[27, "module-agentscope.models.post_model"]], "agentscope.models.response": [[28, "module-agentscope.models.response"]], "agentscope.models.zhipu_model": [[29, "module-agentscope.models.zhipu_model"]], "agentscope.msghub": [[30, "module-agentscope.msghub"]], "agentscope.parsers": [[31, "module-agentscope.parsers"]], "agentscope.parsers.code_block_parser": [[32, "module-agentscope.parsers.code_block_parser"]], "agentscope.parsers.json_object_parser": [[33, "module-agentscope.parsers.json_object_parser"]], "agentscope.parsers.parser_base": [[34, "module-agentscope.parsers.parser_base"]], "agentscope.parsers.tagged_content_parser": [[35, "module-agentscope.parsers.tagged_content_parser"]], "agentscope.pipelines": [[36, "module-agentscope.pipelines"]], "agentscope.pipelines.functional": [[37, "module-agentscope.pipelines.functional"]], "agentscope.pipelines.pipeline": [[38, "module-agentscope.pipelines.pipeline"]], "agentscope.prompt": [[39, "module-agentscope.prompt"]], "agentscope.rag": [[40, "module-agentscope.rag"]], "agentscope.rag.knowledge": [[41, "module-agentscope.rag.knowledge"]], "agentscope.rag.knowledge_bank": [[42, "module-agentscope.rag.knowledge_bank"]], "agentscope.rag.llama_index_knowledge": [[43, "module-agentscope.rag.llama_index_knowledge"]], "agentscope.rpc": [[44, "module-agentscope.rpc"]], "agentscope.rpc.rpc_agent_client": [[45, "module-agentscope.rpc.rpc_agent_client"]], "agentscope.rpc.rpc_agent_pb2": [[46, "module-agentscope.rpc.rpc_agent_pb2"]], "agentscope.rpc.rpc_agent_pb2_grpc": [[47, "module-agentscope.rpc.rpc_agent_pb2_grpc"]], "agentscope.server": [[48, "module-agentscope.server"]], "agentscope.server.launcher": [[49, "module-agentscope.server.launcher"]], "agentscope.server.servicer": [[50, "module-agentscope.server.servicer"]], "agentscope.service": [[51, "module-agentscope.service"]], "agentscope.service.execute_code": [[52, "module-agentscope.service.execute_code"]], "agentscope.service.execute_code.exec_python": [[53, "module-agentscope.service.execute_code.exec_python"]], "agentscope.service.execute_code.exec_shell": [[54, "module-agentscope.service.execute_code.exec_shell"]], "agentscope.service.file": [[55, "module-agentscope.service.file"]], "agentscope.service.file.common": [[56, "module-agentscope.service.file.common"]], "agentscope.service.file.json": [[57, "module-agentscope.service.file.json"]], "agentscope.service.file.text": [[58, "module-agentscope.service.file.text"]], "agentscope.service.multi_modality": [[59, "module-agentscope.service.multi_modality"]], "agentscope.service.multi_modality.dashscope_services": [[60, "module-agentscope.service.multi_modality.dashscope_services"]], "agentscope.service.retrieval": [[61, "module-agentscope.service.retrieval"]], "agentscope.service.retrieval.retrieval_from_list": [[62, "module-agentscope.service.retrieval.retrieval_from_list"]], "agentscope.service.retrieval.similarity": [[63, "module-agentscope.service.retrieval.similarity"]], "agentscope.service.service_response": [[64, "module-agentscope.service.service_response"]], "agentscope.service.service_status": [[65, "module-agentscope.service.service_status"]], "agentscope.service.service_toolkit": [[66, "module-agentscope.service.service_toolkit"]], "agentscope.service.sql_query": [[67, "module-agentscope.service.sql_query"]], "agentscope.service.sql_query.mongodb": [[68, "module-agentscope.service.sql_query.mongodb"]], "agentscope.service.sql_query.mysql": [[69, "module-agentscope.service.sql_query.mysql"]], "agentscope.service.sql_query.sqlite": [[70, "module-agentscope.service.sql_query.sqlite"]], "agentscope.service.text_processing": [[71, "module-agentscope.service.text_processing"]], "agentscope.service.text_processing.summarization": [[72, "module-agentscope.service.text_processing.summarization"]], "agentscope.service.web": [[73, "module-agentscope.service.web"]], "agentscope.service.web.arxiv": [[74, "module-agentscope.service.web.arxiv"]], "agentscope.service.web.dblp": [[75, "module-agentscope.service.web.dblp"]], "agentscope.service.web.download": [[76, "module-agentscope.service.web.download"]], "agentscope.service.web.search": [[77, "module-agentscope.service.web.search"]], "agentscope.service.web.web_digest": [[78, "module-agentscope.service.web.web_digest"]], "agentscope.studio": [[79, "module-agentscope.studio"]], "agentscope.utils": [[80, "module-agentscope.utils"]], "agentscope.utils.common": [[81, "module-agentscope.utils.common"]], "agentscope.utils.monitor": [[82, "module-agentscope.utils.monitor"]], "agentscope.utils.token_utils": [[83, "module-agentscope.utils.token_utils"]], "agentscope.utils.tools": [[84, "module-agentscope.utils.tools"]], "agentscope.web": [[85, "module-agentscope.web"]], "agentscope.web.gradio": [[86, "module-agentscope.web.gradio"]], "agentscope.web.gradio.constants": [[87, "module-agentscope.web.gradio.constants"]], "agentscope.web.gradio.studio": [[88, "module-agentscope.web.gradio.studio"]], "agentscope.web.gradio.utils": [[89, "module-agentscope.web.gradio.utils"]], "agentscope.web.workstation": [[90, "module-agentscope.web.workstation"]], "agentscope.web.workstation.workflow": [[91, "module-agentscope.web.workstation.workflow"]], "agentscope.web.workstation.workflow_dag": [[92, "module-agentscope.web.workstation.workflow_dag"]], "agentscope.web.workstation.workflow_node": [[93, "module-agentscope.web.workstation.workflow_node"]], "agentscope.web.workstation.workflow_utils": [[94, "module-agentscope.web.workstation.workflow_utils"]], "to_dist \u8fdb\u9636\u7528\u6cd5": [[110, "to-dist"]], "\u4e0b\u4e00\u6b65": [[100, "id6"]], "\u4e3a API \u6ce8\u518c\u9884\u7b97": [[109, "id10"]], "\u4e3a\u4ec0\u4e48\u9009\u62e9AgentScope\uff1f": [[97, "id3"]], "\u4ec0\u4e48\u662fAgentScope\uff1f": [[97, "id1"]], "\u4eceAgent\u6c60\u4e2d\u5b9a\u5236Agent": [[102, "agentagent"]], "\u4ece\u6e90\u7801\u5b89\u88c5": [[98, "id3"]], "\u4ece\u96f6\u642d\u5efa\u6a21\u578b\u670d\u52a1": [[104, "id7"]], "\u4ee3\u7801\u5ba1\u67e5": [[114, "id6"]], "\u4ee5\u914d\u7f6e LlamaIndexKnowledge \u4e3a\u4f8b": [[112, "llamaindexknowledge"]], "\u4f7f\u7528 Pipeline \u548c MsgHub": [[100, "pipeline-msghub"]], "\u4f7f\u7528 prefix \u6765\u533a\u5206\u5ea6\u91cf\u6307\u6807": [[109, "prefix"]], "\u4f7f\u7528Conda": [[98, "conda"]], 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\ No newline at end of file
diff --git a/zh_CN/tutorial/208-distribute.html b/zh_CN/tutorial/208-distribute.html
index a6e0fb526..4eb20d1bd 100644
--- a/zh_CN/tutorial/208-distribute.html
+++ b/zh_CN/tutorial/208-distribute.html
@@ -76,7 +76,7 @@
 <li class="toctree-l3"><a class="reference internal" href="#id6">步骤2: 编排分布式应用流程</a></li>
 <li class="toctree-l3"><a class="reference internal" href="#id7">实现原理</a><ul>
 <li class="toctree-l4"><a class="reference internal" href="#actor">Actor模式</a></li>
-<li class="toctree-l4"><a class="reference internal" href="#placeholder">PlaceHolder</a></li>
+<li class="toctree-l4"><a class="reference internal" href="#placeholder">Placeholder</a></li>
 <li class="toctree-l4"><a class="reference internal" href="#agent-server">Agent Server</a></li>
 </ul>
 </li>
@@ -365,12 +365,12 @@ <h4>Actor模式<a class="headerlink" href="#actor" title="Link to this heading">
 通过将每个Agent实现为一个Actor， Agent将自动等待其输入Msg准备好后开始执行<code class="docutils literal notranslate"><span class="pre">reply</span></code>方法，并且如果多个 Agent 的输入消息准备就绪，它们也可以同时自动执行<code class="docutils literal notranslate"><span class="pre">reply</span></code>，这避免了复杂的并行控制。</p>
 </section>
 <section id="placeholder">
-<h4>PlaceHolder<a class="headerlink" href="#placeholder" title="Link to this heading"></a></h4>
+<h4>Placeholder<a class="headerlink" href="#placeholder" title="Link to this heading"></a></h4>
 <p>同时，为了支持中心化的应用编排，AgentScope 引入了 <a class="reference internal" href="../agentscope.message.html#agentscope.message.PlaceholderMessage" title="agentscope.message.PlaceholderMessage"><code class="xref py py-class docutils literal notranslate"><span class="pre">Placeholder</span></code></a> 这一概念。
 Placeholder 可以理解为消息的指针，指向消息真正产生的位置，其对外接口与传统模式中的消息完全一致，因此可以按照传统中心化的消息使用方式编排应用。
 Placeholder 内部包含了该消息产生方的联络方法，可以通过网络获取到被指向消息的真正值。
 每个分布式部署的 Agent 在收到其他 Agent 发来的消息时都会立即返回一个 Placeholder，从而避免阻塞请求发起方。
-而请求发起方可以借助返回的 Placeholder 在真正需要消息内容时再去向原 Agent 发起请求，请求发起方甚至可以将 Placholder 发送给其他 Agent 让其他 Agent 代为获取消息内容，从而减少消息真实内容的不必要转发。</p>
+而请求发起方可以借助返回的 Placeholder 在真正需要消息内容时再去向原 Agent 发起请求，请求发起方甚至可以将 Placeholder 发送给其他 Agent 让其他 Agent 代为获取消息内容，从而减少消息真实内容的不必要转发。</p>
 <p>关于更加详细的技术实现方案，请参考我们的<a class="reference external" href="https://arxiv.org/abs/2402.14034">论文</a>。</p>
 </section>
 <section id="agent-server">