{"repo": "anhen-1117/mathmodelpro", "files": {"backend/app/core/llm/__init__.py": {"b18a60a0a35ae98712995f5927a62a6baa02d670": {"t": 1786068483.1716566, "n": 1880, "h": "fde174b247ee451e", "c": "\"\"\"V1 LLM 桥接层 — 重新导出到新架构 infrastructure/llm.py\"\"\"\n\nfrom dataclasses import dataclass, field\nfrom app.infrastructure.llm import LLMAdapter, create_llm, LLMResponse as InfraResponse\nfrom app.config import AgentConfig\n\n\n# ── V1 兼容类型 ──────────────────────────────────────\n\n@dataclass\nclass Message:\n    role: str\n    content: str\n\n\nLLMResponse = InfraResponse  # 直接复用\n\n\nclass BaseLLM:\n    \"\"\"V1 LLM 基类兼容\"\"\"\n    def __init__(self, config: AgentConfig):\n        self._adapter = LLMAdapter(config)\n\n    async def chat(self, messages: list):\n        return await self._adapter.chat([{\"role\": m.role, \"content\": m.content} for m in messages] if isinstance(messages[0], Message) else messages)\n\n    async def chat_stream(self, messages: list):\n        async for chunk in self._adapter.chat_stream(messages):\n            yield chunk\n\n    @staticmethod\n    def format_messages(system: str = \"\", user: str = \"\", history: list = None):\n        msgs = []\n        if system:\n            msgs.append({\"role\": \"system\", \"content\": system})\n        if history:\n            msgs.extend(history)\n        if user:\n            msgs.append({\"role\": \"user\", \"content\": user})\n        return msgs\n\n\n# ── V1 工厂兼容 ──────────────────────────────────────\n\nclass LLMFactory:\n    @staticmethod\n    def create(api_key=\"\", base_url=None, model=\"deepseek-chat\", api_type=\"openai\"):\n        return LLMAdapter(AgentConfig(\n            api_key=api_key, base_url=base_url or \"https://api.deepseek.com\",\n            model_id=model, api_type=api_type,\n        ))\n\n    @staticmethod\n    def create_from_config(config: dict):\n        return LLMAdapter(AgentConfig(\n            api_key=config.get(\"apiKey\", \"\"),\n            base_url=config.get(\"baseUrl\", \"https://api.deepseek.com\"),\n            model_id=config.get(\"modelId\", \"deepseek-chat\"),\n            api_type=config.get(\"apiType\", \"openai\"),\n        ))\n\nllm = None\n\n"}}}}