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52 lines
1.7 KiB
Python
52 lines
1.7 KiB
Python
"""包装层 LLM 工厂：为 browser-use 示例统一提供带 OpenRouter 兜底的模型客户端。
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本文件位于 RPA 包装层，**不修改** 上游 browser-use fork。它按环境变量决定用哪家：
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- gemini-* 模型 -> ChatGoogle（走 GOOGLE_API_KEY）
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- 有 OPENAI_API_KEY -> 直连 OpenAI
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- 否则有 OPENROUTER_API_KEY -> 走 OpenRouter，并把模型名映射到 OpenRouter 命名：
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gpt-* -> openai/gpt-*
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claude-* -> anthropic/claude-opus-4.8
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含 "/" -> 原样透传
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其它 -> openai/gpt-5.6-luna
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默认模型 gpt-5.6-luna。
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"""
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import os
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from browser_use import ChatOpenAI, ChatGoogle
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DEFAULT_MODEL = "gpt-5.6-luna"
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OPENROUTER_BASE_URL = "https://openrouter.ai/api/v1"
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def to_openrouter_model(model: str) -> str:
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if not model:
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return "openai/gpt-5.6-luna"
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if "/" in model:
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return model
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if model.startswith("gpt-"):
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return "openai/" + model
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if model.startswith("claude-"):
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return "anthropic/claude-opus-4.8"
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return "openai/gpt-5.6-luna"
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def make_llm(model: str = None):
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"""按环境变量构造 LLM 客户端（OpenAI 直连优先，缺 Key 时 OpenRouter 兜底）。"""
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model = model or DEFAULT_MODEL
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if model.startswith("gemini"):
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return ChatGoogle(model=model)
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if os.getenv("OPENAI_API_KEY"):
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return ChatOpenAI(model=model)
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if os.getenv("OPENROUTER_API_KEY"):
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return ChatOpenAI(
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model=to_openrouter_model(model),
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api_key=os.getenv("OPENROUTER_API_KEY"),
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base_url=OPENROUTER_BASE_URL,
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)
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raise RuntimeError(
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"未检测到 OPENAI_API_KEY 或 OPENROUTER_API_KEY，请在 .env 中配置其一"
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"（OpenRouter 可作为统一兜底）。"
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)
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