Update app.py

app.py

@@ -302,14 +302,20 @@ async def health_check():
         "device_count": torch.cuda.device_count() if torch.cuda.is_available() else 0
     }
 
-# Anthropic Claude 格式的请求体
+from typing import Any
+
+class AnthropicMessage(BaseModel):
+    role: str
+    content: Any  # 注意，这里不设为 str，因为 Claude CLI 传的是 list
+
 class MessagesRequest(BaseModel):
     model: str
-    messages: List[Message]
+    messages: List[AnthropicMessage]
     max_tokens: Optional[int] = 2048
     temperature: Optional[float] = 0.7
     top_p: Optional[float] = 0.9
 
+
 @app.post("/v1/messages")
 async def messages_endpoint(request: MessagesRequest):
     """
@@ -322,8 +328,25 @@ async def messages_endpoint(request: MessagesRequest):
             except:
                 raise HTTPException(status_code=503, detail="Model not loaded")
 
-        # 使用已有的格式化和生成逻辑
-        prompt = format_messages(request.messages)
+        # 把 content 数组拼接成纯文本
+        converted_messages = []
+        for msg in request.messages:
+            if isinstance(msg.content, list):
+                # 把每个 {"type":"text","text":"..."} 拼接
+                texts = []
+                for block in msg.content:
+                    if isinstance(block, dict) and "text" in block:
+                        texts.append(block["text"])
+                merged = "\n".join(texts)
+            elif isinstance(msg.content, str):
+                merged = msg.content
+            else:
+                merged = str(msg.content)
+
+            converted_messages.append(Message(role=msg.role, content=merged))
+
+        # 使用原本的格式化和生成逻辑
+        prompt = format_messages(converted_messages)
         response_text = generate_response(
             prompt,
             request.temperature,