{"repo": "brijesh20112002/ai-photovoltaic-pv-assistant", "files": {"backend/app/config.py": {"0c7307ce6b821b5fd2a93c3aaefbb3bc8fb7bbbb": {"t": 1785595259.3821564, "n": 1270, "h": "5cd19070b19adc39", "c": "\"\"\"Application configuration loaded from environment / .env.\"\"\"\nfrom __future__ import annotations\n\nfrom pathlib import Path\n\nfrom pydantic_settings import BaseSettings, SettingsConfigDict\n\nBASE_DIR = Path(__file__).resolve().parent  # .../backend/app\n\n\nclass Settings(BaseSettings):\n    model_config = SettingsConfigDict(\n        env_file=str(BASE_DIR.parent / \".env\"),\n        env_file_encoding=\"utf-8\",\n        extra=\"ignore\",\n    )\n\n    openrouter_api_key: str = \"\"\n    openrouter_base_url: str = \"https://openrouter.ai/api/v1\"\n    # Optional: enables the LangChain agent's web-search tool (Tavily) for the chat/answer.\n    tavily_api_key: str = \"\"\n\n    # Cost-optimized Chinese models (see memory: prefer-cheap-chinese-llms).\n    # text_model must support tool-calling (used by the LangChain ReAct agent).\n    text_model: str = \"xiaomi/mimo-v2.5\"\n    vision_model: str = \"qwen/qwen3-vl-32b-instruct\"\n\n    allowed_origins: str = \"http://localhost:3000,http://127.0.0.1:3000\"\n    enable_demo_cache: bool = True\n\n    @property\n    def cors_origins(self) -> list[str]:\n        return [o.strip() for o in self.allowed_origins.split(\",\") if o.strip()]\n\n    @property\n    def llm_enabled(self) -> bool:\n        return bool(self.openrouter_api_key)\n\n\nsettings = Settings()\n"}}}}