✨ feat(llm): 实现LLM服务模块，支持多提供商统一接口和高级功能 (#1923)

* ✨ feat(llm): 实现LLM服务模块，支持多提供商统一接口和高级功能

* 🎨 Ruff

* ✨ Config配置类支持BaseModel存储

* 🎨 代码格式化

* 🎨 代码格式化

* 🎨 格式化代码

* ✨ feat(llm): 添加 AI 对话历史管理

* ✨ feat(llmConfig): 引入 LLM 配置模型及管理功能

* 🎨 Ruff

---------

Co-authored-by: fccckaug <xxxmio123123@gmail.com>
Co-authored-by: HibiKier <45528451+HibiKier@users.noreply.github.com>
Co-authored-by: HibiKier <775757368@qq.com>
Co-authored-by: fccckaug <xxxmcsmiomio3@gmail.com>
Co-authored-by: webjoin111 <455457521@qq.com>

zhenxun/services/llm/config/presets.py

@@ -0,0 +1,169 @@
+"""
+LLM 预设配置
+
+提供常用的配置预设，特别是针对 Gemini 的高级功能。
+"""
+
+from typing import Any
+
+from .generation import LLMGenerationConfig
+
+
+class CommonOverrides:
+    """常用的配置覆盖预设"""
+
+    @staticmethod
+    def creative() -> LLMGenerationConfig:
+        """创意模式：高温度，鼓励创新"""
+        return LLMGenerationConfig(temperature=0.9, top_p=0.95, frequency_penalty=0.1)
+
+    @staticmethod
+    def precise() -> LLMGenerationConfig:
+        """精确模式：低温度，确定性输出"""
+        return LLMGenerationConfig(temperature=0.1, top_p=0.9, frequency_penalty=0.0)
+
+    @staticmethod
+    def balanced() -> LLMGenerationConfig:
+        """平衡模式：中等温度"""
+        return LLMGenerationConfig(temperature=0.5, top_p=0.9, frequency_penalty=0.0)
+
+    @staticmethod
+    def concise(max_tokens: int = 100) -> LLMGenerationConfig:
+        """简洁模式：限制输出长度"""
+        return LLMGenerationConfig(
+            temperature=0.3,
+            max_tokens=max_tokens,
+            stop=["\n\n", "。", "！", "？"],
+        )
+
+    @staticmethod
+    def detailed(max_tokens: int = 2000) -> LLMGenerationConfig:
+        """详细模式：鼓励详细输出"""
+        return LLMGenerationConfig(
+            temperature=0.7, max_tokens=max_tokens, frequency_penalty=-0.1
+        )
+
+    @staticmethod
+    def gemini_json() -> LLMGenerationConfig:
+        """Gemini JSON模式：强制JSON输出"""
+        return LLMGenerationConfig(
+            temperature=0.3, response_mime_type="application/json"
+        )
+
+    @staticmethod
+    def gemini_thinking(budget: float = 0.8) -> LLMGenerationConfig:
+        """Gemini 思考模式：使用思考预算"""
+        return LLMGenerationConfig(temperature=0.7, thinking_budget=budget)
+
+    @staticmethod
+    def gemini_creative() -> LLMGenerationConfig:
+        """Gemini 创意模式：高温度创意输出"""
+        return LLMGenerationConfig(temperature=0.9, top_p=0.95)
+
+    @staticmethod
+    def gemini_structured(schema: dict[str, Any]) -> LLMGenerationConfig:
+        """Gemini 结构化输出：自定义JSON模式"""
+        return LLMGenerationConfig(
+            temperature=0.3,
+            response_mime_type="application/json",
+            response_schema=schema,
+        )
+
+    @staticmethod
+    def gemini_safe() -> LLMGenerationConfig:
+        """Gemini 安全模式：严格安全设置"""
+        return LLMGenerationConfig(
+            temperature=0.5,
+            safety_settings={
+                "HARM_CATEGORY_HARASSMENT": "BLOCK_MEDIUM_AND_ABOVE",
+                "HARM_CATEGORY_HATE_SPEECH": "BLOCK_MEDIUM_AND_ABOVE",
+                "HARM_CATEGORY_SEXUALLY_EXPLICIT": "BLOCK_MEDIUM_AND_ABOVE",
+                "HARM_CATEGORY_DANGEROUS_CONTENT": "BLOCK_MEDIUM_AND_ABOVE",
+            },
+        )
+
+    @staticmethod
+    def gemini_multimodal() -> LLMGenerationConfig:
+        """Gemini 多模态模式：优化多模态处理"""
+        return LLMGenerationConfig(temperature=0.6, max_tokens=2048, top_p=0.8)
+
+    @staticmethod
+    def gemini_code_execution() -> LLMGenerationConfig:
+        """Gemini 代码执行模式：启用代码执行功能"""
+        return LLMGenerationConfig(
+            temperature=0.3,
+            max_tokens=4096,
+            enable_code_execution=True,
+            custom_params={"code_execution_timeout": 30},
+        )
+
+    @staticmethod
+    def gemini_grounding() -> LLMGenerationConfig:
+        """Gemini 信息来源关联模式：启用Google搜索"""
+        return LLMGenerationConfig(
+            temperature=0.5,
+            max_tokens=4096,
+            enable_grounding=True,
+            custom_params={
+                "grounding_config": {"dynamicRetrievalConfig": {"mode": "MODE_DYNAMIC"}}
+            },
+        )
+
+    @staticmethod
+    def gemini_cached() -> LLMGenerationConfig:
+        """Gemini 缓存模式：启用响应缓存"""
+        return LLMGenerationConfig(
+            temperature=0.3,
+            max_tokens=2048,
+            enable_caching=True,
+        )
+
+    @staticmethod
+    def gemini_advanced() -> LLMGenerationConfig:
+        """Gemini 高级模式：启用所有高级功能"""
+        return LLMGenerationConfig(
+            temperature=0.5,
+            max_tokens=4096,
+            enable_code_execution=True,
+            enable_grounding=True,
+            enable_caching=True,
+            custom_params={
+                "code_execution_timeout": 30,
+                "grounding_config": {
+                    "dynamicRetrievalConfig": {"mode": "MODE_DYNAMIC"}
+                },
+            },
+        )
+
+    @staticmethod
+    def gemini_research() -> LLMGenerationConfig:
+        """Gemini 研究模式：思考+搜索+结构化输出"""
+        return LLMGenerationConfig(
+            temperature=0.6,
+            max_tokens=4096,
+            thinking_budget=0.8,
+            enable_grounding=True,
+            response_mime_type="application/json",
+            custom_params={
+                "grounding_config": {"dynamicRetrievalConfig": {"mode": "MODE_DYNAMIC"}}
+            },
+        )
+
+    @staticmethod
+    def gemini_analysis() -> LLMGenerationConfig:
+        """Gemini 分析模式：深度思考+详细输出"""
+        return LLMGenerationConfig(
+            temperature=0.4,
+            max_tokens=6000,
+            thinking_budget=0.9,
+            top_p=0.8,
+        )
+
+    @staticmethod
+    def gemini_fast_response() -> LLMGenerationConfig:
+        """Gemini 快速响应模式：低延迟+简洁输出"""
+        return LLMGenerationConfig(
+            temperature=0.3,
+            max_tokens=512,
+            top_p=0.8,
+        )