✨ 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/adapters/openai.py

@@ -0,0 +1,57 @@
+"""
+OpenAI API 适配器
+
+支持 OpenAI、DeepSeek 和其他 OpenAI 兼容的 API 服务。
+"""
+
+from typing import TYPE_CHECKING
+
+from .base import OpenAICompatAdapter, RequestData
+
+if TYPE_CHECKING:
+    from ..service import LLMModel
+
+
+class OpenAIAdapter(OpenAICompatAdapter):
+    """OpenAI兼容API适配器"""
+
+    @property
+    def api_type(self) -> str:
+        return "openai"
+
+    @property
+    def supported_api_types(self) -> list[str]:
+        return ["openai", "deepseek", "general_openai_compat"]
+
+    def get_chat_endpoint(self) -> str:
+        """返回聊天完成端点"""
+        return "/v1/chat/completions"
+
+    def get_embedding_endpoint(self) -> str:
+        """返回嵌入端点"""
+        return "/v1/embeddings"
+
+    def prepare_simple_request(
+        self,
+        model: "LLMModel",
+        api_key: str,
+        prompt: str,
+        history: list[dict[str, str]] | None = None,
+    ) -> RequestData:
+        """准备简单文本生成请求 - OpenAI优化实现"""
+        url = self.get_api_url(model, self.get_chat_endpoint())
+        headers = self.get_base_headers(api_key)
+
+        messages = []
+        if history:
+            messages.extend(history)
+        messages.append({"role": "user", "content": prompt})
+
+        body = {
+            "model": model.model_name,
+            "messages": messages,
+        }
+
+        body = self.apply_config_override(model, body)
+
+        return RequestData(url=url, headers=headers, body=body)