docs(eino): sync docs from feishu (2026-03-12)

content/en/docs/eino/core_modules/eino_adk/Eino_ADK_ChatModelAgentMiddleware/Middleware_FileSystem/Backend_Local_FileSystem.md

@@ -1,6 +1,6 @@
 ---
 Description: ""
-date: "2026-03-02"
+date: "2026-03-12"
 lastmod: ""
 tags: []
 title: 'Backend: Local FileSystem'
@@ -11,7 +11,7 @@ weight: 2
 
 Package: `github.com/cloudwego/eino-ext/adk/backend/local`
 
-Note: If your eino version is v0.8.0 or above, you need to use local backend [v0.2.0-alpha](https://github.com/cloudwego/eino-ext/releases/tag/adk%2Fbackend%2Flocal%2Fv0.2.0-alpha.1) version.
+Note: If your eino version is v0.8.0 or above, you need to use local backend [adk/backend/local/v0.2.1](https://github.com/cloudwego/eino-ext/releases/tag/adk%2Fbackend%2Flocal%2Fv0.2.1).
 
 ### Overview
 

content/en/docs/eino/ecosystem_integration/_index.md

@@ -11,9 +11,9 @@ weight: 6
 
 ### ChatModel
 
-- openai: [ChatModel - OpenAI](https://github.com/cloudwego/eino-ext/blob/main/components/model/openai/README.md)
-- ark: [ChatModel - ARK](https://github.com/cloudwego/eino-ext/blob/main/components/model/ark/README.md)
-- ollama: [ChatModel - Ollama](https://github.com/cloudwego/eino-ext/blob/main/components/model/ollama/README.md)
+- openai: [OpenAI](/docs/eino/ecosystem_integration/chat_model/agentic_model_openai)
+- ark: [ARK](/docs/eino/ecosystem_integration/chat_model/agentic_model_ark)
+- More components: [ChatModel component list](/docs/eino/ecosystem_integration/chat_model)
 
 ### Document
 

content/en/docs/eino/quick_start/_index.md

@@ -19,7 +19,7 @@ These small examples are meant for quick onboarding. For deeper dives into speci
 
 The most basic pattern in LLM applications is a `prompt + chat model`, which is also the primary capability offered by many AI platforms. You can define a `System Prompt` to constrain the model’s behavior (for example, “You are acting as role XXX”). In this example, you can combine Eino’s `PromptTemplate` and `ChatModel` components to build a role-playing application.
 
-- [Implement a minimal LLM application — ChatModel](/docs/eino/quick_start/simple_llm_application)
+- [Chapter 1: ChatModel and Message (Console)](/docs/eino/quick_start/chapter_01_chatmodel_and_message)
 
 ### Example: Build an Agent
 
@@ -29,12 +29,11 @@ We call the overall system that decides when to call specific tools based on mod
 
 In Eino, you can implement an agent with `ChatModel + ToolsNode`, or use the built-in `react agent` and `multi agent` packages.
 
-In this example, we’ll use the ReAct agent to build an agent that interacts with the real world.
+In this example, we’ll use a filesystem tool to build an agent that can interact with the real world.
 
-- [Agent — Give your LLM hands](/docs/eino/quick_start/agent_llm_with_tools)
+- [Chapter 4: Tools and Filesystem Access](/docs/eino/quick_start/chapter_04_tool_and_filesystem)
 
 ## Next Steps
 
 - Understand Eino’s core modules and concepts: [Eino: Core Modules](/docs/eino/core_modules). This is the key knowledge to fluently develop applications with Eino.
 - Eino embraces an open ecosystem and provides numerous integration components: [Eino: Ecosystem Integration](/docs/eino/ecosystem_integration). Use these components to quickly assemble your business applications.
-