feat: add explicit provider profile registry
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"""provider 注册表(D11): 消灭 `"qwen" in provider` 式字符串猜测。
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每个 provider 显式声明 thinking 参数注入形态与响应处理差异;查找按名字
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**精确匹配**,未注册即装配期报错。注册是纯函数——返回新表,不修改共享
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状态(纯 asyncio 中立铁律);client 经 `registry` 参数持有自己的表。
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"""
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from collections.abc import Mapping
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from dataclasses import dataclass
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from types import MappingProxyType
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from typing import Any
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@dataclass(frozen=True)
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class ProviderProfile:
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"""单个 provider 的能力与差异声明。
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thinking_on/thinking_off 分别是 `SourceConfig.enable_thinking` 为
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True/False 时并入请求体的参数片段(None 时二者都不注入,用模型默认);
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strip_think_tags 声明响应 content 需剥离 ``<think>`` 标签(qwen 系);
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supports_native_schema 供 D14 阶梯选择原生 response_format 策略。
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"""
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name: str
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thinking_on: dict[str, Any]
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thinking_off: dict[str, Any]
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strip_think_tags: bool
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supports_native_schema: bool = False
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DEFAULT_PROFILES: Mapping[str, ProviderProfile] = MappingProxyType(
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{
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# 注入片段出处: VT llm.py:130-144(开启形态)与 CHS invokers.py:230-238(关闭形态)
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"qwen": ProviderProfile(
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name="qwen",
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thinking_on={"enable_thinking": True},
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thinking_off={"enable_thinking": False},
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strip_think_tags=True,
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),
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"deepseek": ProviderProfile(
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name="deepseek",
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thinking_on={"thinking": {"type": "enabled"}},
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thinking_off={"thinking": {"type": "disabled"}},
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strip_think_tags=False,
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),
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"openai": ProviderProfile(
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name="openai",
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thinking_on={},
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thinking_off={},
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strip_think_tags=False,
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),
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}
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)
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def get_provider(
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name: str, *, registry: Mapping[str, ProviderProfile] | None = None
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) -> ProviderProfile:
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"""按名字精确查找 profile;未注册直接报错(严禁默认值掩盖配置错误)。"""
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table = DEFAULT_PROFILES if registry is None else registry
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profile = table.get(name)
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if profile is None:
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raise ValueError(
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f"未注册的 provider: {name!r}(已注册: {sorted(table)});"
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f"新 provider 用 register_provider(ProviderProfile(...)) 注册后经 registry 参数传入"
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)
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return profile
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def register_provider(
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profile: ProviderProfile, *, base: Mapping[str, ProviderProfile] | None = None
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) -> dict[str, ProviderProfile]:
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"""纯函数注册: 返回 base(缺省 DEFAULT_PROFILES)+ 新条目的新表,同名覆盖。"""
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table = dict(DEFAULT_PROFILES if base is None else base)
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table[profile.name] = profile
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return table
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