添加Claude 4模型支持

config/models.json

@@ -27,6 +27,22 @@
         }
     },
     "models": {
+        "claude-opus-4-20250514": {
+            "name": "Claude 4 Opus",
+            "provider": "anthropic",
+            "supportsMultimodal": true,
+            "isReasoning": true,
+            "version": "20250514",
+            "description": "最强大的Claude 4 Opus模型，支持图像理解和深度思考过程"
+        },
+        "claude-sonnet-4-20250514": {
+            "name": "Claude 4 Sonnet",
+            "provider": "anthropic",
+            "supportsMultimodal": true,
+            "isReasoning": true,
+            "version": "20250514",
+            "description": "高性能的Claude 4 Sonnet模型，支持图像理解和思考过程"
+        },
         "claude-3-7-sonnet-20250219": {
             "name": "Claude 3.7 Sonnet",
             "provider": "anthropic",

models/anthropic.py

@@ -1,13 +1,19 @@
 import json
 import requests
-from typing import Generator
+from typing import Generator, Optional
 from .base import BaseModel
 
 class AnthropicModel(BaseModel):
-    def __init__(self, api_key, temperature=0.7, system_prompt=None, language=None, api_base_url=None):
+    def __init__(self, api_key, temperature=0.7, system_prompt=None, language=None, api_base_url=None, model_identifier=None):
-        super().__init__(api_key, temperature, system_prompt, language)
+        super().__init__(api_key, temperature, system_prompt or self.get_default_system_prompt(), language or "en")
         # 设置API基础URL，默认为Anthropic官方API
         self.api_base_url = api_base_url or "https://api.anthropic.com/v1"
+        # 设置模型标识符，支持动态选择
+        self.model_identifier = model_identifier or "claude-3-7-sonnet-20250219"
+        # 初始化推理配置
+        self.reasoning_config = None
+        # 初始化最大Token数
+        self.max_tokens = None
         
     def get_default_system_prompt(self) -> str:
         return """You are an expert at analyzing questions and providing detailed solutions. When presented with an image of a question:
@@ -18,9 +24,9 @@ class AnthropicModel(BaseModel):
 5. If there are multiple approaches, explain the most efficient one first"""
 
     def get_model_identifier(self) -> str:
-        return "claude-3-7-sonnet-20250219"
+        return self.model_identifier
 
-    def analyze_text(self, text: str, proxies: dict = None) -> Generator[dict, None, None]:
+    def analyze_text(self, text: str, proxies: Optional[dict] = None) -> Generator[dict, None, None]:
         """Stream Claude's response for text analysis"""
         try:
             yield {"status": "started"}
@@ -190,7 +196,7 @@ class AnthropicModel(BaseModel):
                 "error": f"Streaming error: {str(e)}"
             }
 
-    def analyze_image(self, image_data, proxies=None):
+    def analyze_image(self, image_data, proxies: Optional[dict] = None):
         yield {"status": "started"}
         
         api_key = self.api_key
@@ -212,7 +218,7 @@ class AnthropicModel(BaseModel):
             max_tokens = self.max_tokens
             
         payload = {
-            'model': 'claude-3-7-sonnet-20250219',
+            'model': self.get_model_identifier(),
             'stream': True,
             'max_tokens': max_tokens,
             'temperature': 1,

models/factory.py

@@ -1,4 +1,4 @@
-from typing import Dict, Type, Any
+from typing import Dict, Type, Any, Optional
 import json
 import os
 import importlib
@@ -81,7 +81,7 @@ class ModelFactory:
 
     @classmethod
     def create_model(cls, model_name: str, api_key: str, temperature: float = 0.7, 
-                     system_prompt: str = None, language: str = None, api_base_url: str = None) -> BaseModel:
+                     system_prompt: Optional[str] = None, language: Optional[str] = None, api_base_url: Optional[str] = None) -> BaseModel:
         """
         Create a model instance based on the model name.
         
@@ -129,6 +129,16 @@ class ModelFactory:
                 temperature=temperature,
                 system_prompt=system_prompt
             )
+        # 对于Anthropic模型，需要传递model_identifier参数
+        elif 'claude' in model_name.lower() or 'anthropic' in model_name.lower():
+            return model_class(
+                api_key=api_key,
+                temperature=temperature,
+                system_prompt=system_prompt,
+                language=language,
+                api_base_url=api_base_url,
+                model_identifier=model_name
+            )
         else:
             # 其他模型仅传递标准参数
             return model_class(
@@ -181,7 +191,7 @@ class ModelFactory:
     @classmethod
     def register_model(cls, model_name: str, model_class: Type[BaseModel], 
                       is_multimodal: bool = False, is_reasoning: bool = False,
-                      display_name: str = None, description: str = None) -> None:
+                      display_name: Optional[str] = None, description: Optional[str] = None) -> None:
         """
         Register a new model type with the factory.