45 lines
1.4 KiB
Python
45 lines
1.4 KiB
Python
import os
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import shlex
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def _env_bool(name: str, default: bool) -> bool:
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value = os.getenv(name)
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if value is None:
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return default
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return value.strip().lower() in {"1", "true", "yes", "on"}
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def _env_args(name: str, default: str = "") -> list[str]:
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value = os.getenv(name, default)
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if not value.strip():
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return []
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return shlex.split(value)
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SYSTEM_MESSAGE = (
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"你是一个友好、幽默的AI虚拟主播。你可以看到用户摄像头传来的画面，也能听到他们的话。"
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"请用简短、自然、热情的中文口语回答，每次回答控制在两三句话以内，不要输出任何 Markdown 格式。"
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"当用户询问实时天气、最新新闻或网页信息时，优先使用可用工具先查询再回答。"
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)
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WHISPER_MODEL_NAME = "base"
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WHISPER_DEVICE = "cpu"
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WHISPER_COMPUTE_TYPE = "int8"
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WHISPER_LANGUAGE = "zh"
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WHISPER_BEAM_SIZE = 5
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TTS_VOICE = "zh-CN-XiaoxiaoNeural"
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OLLAMA_MODEL = "qwen3-vl:latest"
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SERVER_HOST = "0.0.0.0"
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SERVER_PORT = 8000
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ENABLE_MCP_TOOLS = _env_bool("ENABLE_MCP_TOOLS", True)
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MCP_SERVER_READ_TIMEOUT_SECONDS = float(os.getenv("MCP_SERVER_READ_TIMEOUT_SECONDS", "30"))
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MCP_WEATHER_SERVER_COMMAND = os.getenv("MCP_WEATHER_SERVER_COMMAND", "")
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MCP_WEATHER_SERVER_ARGS = _env_args("MCP_WEATHER_SERVER_ARGS")
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MCP_WEBSEARCH_SERVER_COMMAND = os.getenv("MCP_WEBSEARCH_SERVER_COMMAND", "")
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MCP_WEBSEARCH_SERVER_ARGS = _env_args("MCP_WEBSEARCH_SERVER_ARGS")
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