docs: 图片链接改为 Gitee 地址

Author: xt765

docs/zh/BLOG.md

@@ -12,15 +12,27 @@
   </p>
 </div>
 
+
 ---
 
+### **关于作者**
+
+- **深耕领域**：大语言模型开发 / RAG 知识库 / AI Agent 落地 / 模型微调
+- **技术栈**：Python | RAG (LangChain / Dify + Milvus) | FastAPI + Docker
+- **工程能力**：专注模型工程化部署、知识库构建与优化，擅长全流程解决方案
+
+> **「让 AI 交互更智能，让技术落地更高效」**
+> 欢迎技术探讨与项目合作，解锁大模型与智能交互的无限可能！
+
+---
 # 【开源发布】MermaidTrace: 让你的 Python 代码逻辑"看"得见
+---
 
 <p align="center">
-  <img src="../images/logo.png" alt="MermaidTrace Logo" width="600">
+  <img src="https://gitee.com/xt765/mermaid-trace/raw/main/docs/images/logo.png" alt="MermaidTrace Logo" width="600">
 </p>
 
----
+<p align="center"><strong>让复杂的调用链一目了然。一行代码，将复杂的执行逻辑转化为清晰的 Mermaid 时序图。</strong></p>
 
 ## 当你在凌晨两点调试递归调用时
 
@@ -47,7 +59,7 @@ flowchart LR
     A[添加装饰器] --> B[运行代码]
     B --> C[自动生成时序图]
     C --> D[实时预览]
-
+    
     style C fill:#e8f5e9
 ```
 
@@ -67,20 +79,20 @@ flowchart TB
     subgraph 输入[你的代码]
         A[Python 函数]
     end
-
+    
     subgraph MermaidTrace[处理过程]
         B[装饰器拦截] --> C[记录调用事件]
         C --> D[构建调用链]
         D --> E[生成 Mermaid 语法]
     end
-
+    
     subgraph 输出[可视化结果]
         E --> F[时序图]
         E --> G[交互式预览]
     end
-
+    
     A --> B
-
+    
     style B fill:#e3f2fd
     style F fill:#fff3e0
 ```
@@ -95,7 +107,7 @@ flowchart TB
 
 MermaidTrace 内置了一个功能强大的 Web 预览服务器，让你可以直观地查看生成的时序图：
 
-![Master Preview](../images/master_preview.png)
+![Master Preview](https://gitee.com/xt765/mermaid-trace/raw/main/docs/images/master_preview.png)
 
 **主要特性**：
 
@@ -124,16 +136,16 @@ from mermaid_trace import trace, trace_class
 @trace_class
 class OrderService:
     """订单服务类"""
-
+    
     def process_order(self, order_id: int) -> dict:
         """处理订单"""
         self.validate_order(order_id)
         return self.create_order(order_id)
-
+    
     def validate_order(self, order_id: int) -> bool:
         """验证订单"""
         return order_id > 0
-
+    
     def create_order(self, order_id: int) -> dict:
         """创建订单"""
         return {"order_id": order_id, "status": "created"}
@@ -151,15 +163,15 @@ mermaid-trace serve flow.mmd
 
 这会启动一个本地服务器，自动打开浏览器，展示生成的时序图：
 
-![Master Preview](../images/master_preview.png)
+![Master Preview](https://gitee.com/xt765/mermaid-trace/raw/main/docs/images/master_preview.png)
 
 ```mermaid
 sequenceDiagram
     participant Caller
     participant OrderService
     participant validate_order
     participant create_order
-
+    
     Caller->>OrderService: process_order
     OrderService->>validate_order: validate_order
     validate_order-->>OrderService: True
@@ -183,25 +195,25 @@ from typing import List
 @trace
 class RAGPipeline:
     """RAG 检索管道"""
-
+    
     def __init__(self):
         self.retriever = VectorRetriever()
         self.reranker = Reranker()
         self.context_builder = ContextBuilder()
-
+    
     async def query(self, question: str) -> dict:
         # 查询改写
         refined_query = await self.refine_query(question)
-
+        
         # 向量检索
         documents = await self.retriever.search(refined_query)
-
+        
         # 重排序
         ranked_docs = await self.reranker.rerank(documents, question)
-
+        
         # 构建上下文
         context = self.context_builder.build(ranked_docs)
-
+        
         return {"query": question, "context": context}
 ```
 
@@ -214,7 +226,7 @@ sequenceDiagram
     participant VectorRetriever
     participant Reranker
     participant ContextBuilder
-
+    
     main->>RAGPipeline: query
     RAGPipeline->>RAGPipeline: refine_query
     RAGPipeline->>VectorRetriever: search
@@ -236,10 +248,10 @@ from mermaid_trace import trace_class
 @trace_class
 class LLMAgent:
     """LLM Agent"""
-
+    
     def __init__(self):
         self.tools = {"search": self.search, "calculator": self.calculator}
-
+    
     async def run(self, query: str) -> str:
         for i in range(3):
             action = await self.decide(query)
@@ -257,7 +269,7 @@ sequenceDiagram
     participant LLMAgent
     participant search
     participant calculator
-
+    
     main->>LLMAgent: run
     LLMAgent->>LLMAgent: decide
     LLMAgent-->>LLMAgent: {tool: search}
@@ -286,7 +298,7 @@ app = FastAPI()
 class DatabaseService:
     async def get_user(self, user_id: int) -> dict:
         return {"id": user_id, "name": f"User{user_id}"}
-
+    
     async def get_orders(self, user_id: int) -> list:
         return [{"id": i} for i in range(3)]
 
@@ -363,7 +375,7 @@ flowchart LR
     A[代码变更] --> B[自动重新运行]
     B --> C[生成新时序图]
     C --> D[浏览器自动刷新]
-
+    
     style D fill:#fff3e0
 ```
 
@@ -375,7 +387,7 @@ flowchart LR
 
 ## 与 LangChain 的集成
 
-![Master Preview](../images/master_preview.png)
+![Master Preview](https://gitee.com/xt765/mermaid-trace/raw/main/docs/images/master_preview.png)
 
 MermaidTrace 提供了 LangChain 的专用处理器：