update:1.优化 AI 流式生成和进度显示系统 2.新增写作风格系统提示词支持 3.灵感模式功能增强,支持灵感重写 4.设置页面功能扩展，新增Gemini适配器 5.提示词模板系统优化，调整灵感模式提示词

backend/app/services/ai_clients/anthropic_client.py

@@ -0,0 +1,86 @@
+"""Anthropic 客户端"""
+from typing import Any, AsyncGenerator, Dict, Optional
+
+from anthropic import AsyncAnthropic
+
+from app.logger import get_logger
+from app.services.ai_config import AIClientConfig, default_config
+
+logger = get_logger(__name__)
+
+
+class AnthropicClient:
+    """Anthropic API 客户端"""
+
+    def __init__(self, api_key: str, base_url: Optional[str] = None, config: Optional[AIClientConfig] = None):
+        self.config = config or default_config
+        kwargs = {"api_key": api_key}
+        if base_url:
+            kwargs["base_url"] = base_url
+        self.client = AsyncAnthropic(**kwargs)
+
+    async def chat_completion(
+        self,
+        messages: list,
+        model: str,
+        temperature: float,
+        max_tokens: int,
+        system_prompt: Optional[str] = None,
+        tools: Optional[list] = None,
+        tool_choice: Optional[str] = None,
+    ) -> Dict[str, Any]:
+        kwargs = {
+            "model": model,
+            "max_tokens": max_tokens,
+            "temperature": temperature,
+            "messages": messages,
+        }
+        if system_prompt:
+            kwargs["system"] = system_prompt
+        if tools:
+            kwargs["tools"] = tools
+            if tool_choice == "required":
+                kwargs["tool_choice"] = {"type": "any"}
+            elif tool_choice == "auto":
+                kwargs["tool_choice"] = {"type": "auto"}
+
+        response = await self.client.messages.create(**kwargs)
+
+        tool_calls = []
+        content = ""
+        for block in response.content:
+            if block.type == "tool_use":
+                tool_calls.append({
+                    "id": block.id,
+                    "type": "function",
+                    "function": {"name": block.name, "arguments": block.input},
+                })
+            elif block.type == "text":
+                content += block.text
+
+        return {
+            "content": content,
+            "tool_calls": tool_calls if tool_calls else None,
+            "finish_reason": response.stop_reason,
+        }
+
+    async def chat_completion_stream(
+        self,
+        messages: list,
+        model: str,
+        temperature: float,
+        max_tokens: int,
+        system_prompt: Optional[str] = None,
+    ) -> AsyncGenerator[str, None]:
+        kwargs = {
+            "model": model,
+            "max_tokens": max_tokens,
+            "temperature": temperature,
+            "messages": messages,
+        }
+        if system_prompt:
+            kwargs["system"] = system_prompt
+
+        async with self.client.messages.stream(**kwargs) as stream:
+            async for text in stream.text_stream:
+                yield text