修改了nanobot，往Hermes agent的风格走，进度1/3
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249
app-instance/backend/beaver/engine/providers/registry.py
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249
app-instance/backend/beaver/engine/providers/registry.py
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"""Provider registry: 统一维护 provider 元数据与匹配规则。"""
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from __future__ import annotations
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from dataclasses import dataclass
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from typing import Any
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@dataclass(frozen=True, slots=True)
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class ProviderSpec:
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"""单个 provider 的元数据定义。"""
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name: str
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keywords: tuple[str, ...]
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env_key: str
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display_name: str = ""
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litellm_prefix: str = ""
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skip_prefixes: tuple[str, ...] = ()
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env_extras: tuple[tuple[str, str], ...] = ()
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is_gateway: bool = False
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is_local: bool = False
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detect_by_key_prefix: str = ""
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detect_by_base_keyword: str = ""
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default_api_base: str = ""
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strip_model_prefix: bool = False
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model_overrides: tuple[tuple[str, dict[str, Any]], ...] = ()
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is_oauth: bool = False
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is_direct: bool = False
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supports_prompt_caching: bool = False
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api_mode: str = "chat_completions"
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provider_impl: str = "litellm"
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@property
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def label(self) -> str:
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return self.display_name or self.name.title()
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PROVIDERS: tuple[ProviderSpec, ...] = (
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ProviderSpec(
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name="custom",
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keywords=(),
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env_key="",
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display_name="Custom",
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is_direct=True,
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provider_impl="custom",
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api_mode="chat_completions",
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),
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ProviderSpec(
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name="openrouter",
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keywords=("openrouter",),
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env_key="OPENROUTER_API_KEY",
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display_name="OpenRouter",
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litellm_prefix="openrouter",
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is_gateway=True,
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detect_by_key_prefix="sk-or-",
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detect_by_base_keyword="openrouter",
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default_api_base="https://openrouter.ai/api/v1",
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supports_prompt_caching=True,
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),
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ProviderSpec(
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name="aihubmix",
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keywords=("aihubmix",),
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env_key="OPENAI_API_KEY",
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display_name="AiHubMix",
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litellm_prefix="openai",
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is_gateway=True,
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detect_by_base_keyword="aihubmix",
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default_api_base="https://aihubmix.com/v1",
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strip_model_prefix=True,
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),
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ProviderSpec(
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name="siliconflow",
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keywords=("siliconflow",),
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env_key="OPENAI_API_KEY",
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display_name="SiliconFlow",
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litellm_prefix="openai",
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is_gateway=True,
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detect_by_base_keyword="siliconflow",
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default_api_base="https://api.siliconflow.cn/v1",
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),
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ProviderSpec(
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name="volcengine",
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keywords=("volcengine", "volces", "ark"),
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env_key="OPENAI_API_KEY",
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display_name="VolcEngine",
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litellm_prefix="volcengine",
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is_gateway=True,
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detect_by_base_keyword="volces",
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default_api_base="https://ark.cn-beijing.volces.com/api/v3",
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),
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ProviderSpec(
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name="anthropic",
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keywords=("anthropic", "claude"),
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env_key="ANTHROPIC_API_KEY",
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display_name="Anthropic",
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supports_prompt_caching=True,
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api_mode="anthropic_messages",
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provider_impl="anthropic",
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),
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ProviderSpec(
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name="openai",
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keywords=("openai", "gpt"),
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env_key="OPENAI_API_KEY",
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display_name="OpenAI",
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),
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ProviderSpec(
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name="openai_codex",
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keywords=("openai-codex", "codex"),
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env_key="",
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display_name="OpenAI Codex",
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is_oauth=True,
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detect_by_base_keyword="codex",
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default_api_base="https://chatgpt.com/backend-api",
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api_mode="codex_responses",
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provider_impl="codex",
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),
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ProviderSpec(
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name="github_copilot",
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keywords=("github_copilot", "copilot"),
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env_key="",
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display_name="Github Copilot",
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litellm_prefix="github_copilot",
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skip_prefixes=("github_copilot/",),
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is_oauth=True,
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),
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ProviderSpec(
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name="deepseek",
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keywords=("deepseek",),
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env_key="DEEPSEEK_API_KEY",
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display_name="DeepSeek",
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litellm_prefix="deepseek",
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skip_prefixes=("deepseek/",),
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),
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ProviderSpec(
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name="gemini",
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keywords=("gemini",),
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env_key="GEMINI_API_KEY",
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display_name="Gemini",
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litellm_prefix="gemini",
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skip_prefixes=("gemini/",),
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),
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ProviderSpec(
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name="zhipu",
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keywords=("zhipu", "glm", "zai"),
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env_key="ZAI_API_KEY",
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display_name="Zhipu AI",
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litellm_prefix="zai",
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skip_prefixes=("zhipu/", "zai/", "openrouter/", "hosted_vllm/"),
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env_extras=(("ZHIPUAI_API_KEY", "{api_key}"),),
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),
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ProviderSpec(
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name="dashscope",
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keywords=("qwen", "dashscope"),
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env_key="DASHSCOPE_API_KEY",
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display_name="DashScope",
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litellm_prefix="dashscope",
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skip_prefixes=("dashscope/", "openrouter/"),
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),
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ProviderSpec(
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name="moonshot",
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keywords=("moonshot", "kimi"),
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env_key="MOONSHOT_API_KEY",
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display_name="Moonshot",
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litellm_prefix="moonshot",
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skip_prefixes=("moonshot/", "openrouter/"),
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env_extras=(("MOONSHOT_API_BASE", "{api_base}"),),
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default_api_base="https://api.moonshot.ai/v1",
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model_overrides=(("kimi-k2.5", {"temperature": 1.0}),),
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),
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ProviderSpec(
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name="minimax",
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keywords=("minimax",),
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env_key="MINIMAX_API_KEY",
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display_name="MiniMax",
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litellm_prefix="minimax",
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skip_prefixes=("minimax/", "openrouter/"),
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default_api_base="https://api.minimax.io/v1",
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),
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ProviderSpec(
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name="vllm",
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keywords=("vllm",),
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env_key="HOSTED_VLLM_API_KEY",
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display_name="vLLM/Local",
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litellm_prefix="hosted_vllm",
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is_local=True,
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),
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ProviderSpec(
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name="groq",
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keywords=("groq",),
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env_key="GROQ_API_KEY",
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display_name="Groq",
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litellm_prefix="groq",
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skip_prefixes=("groq/",),
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),
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)
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def find_by_name(name: str) -> ProviderSpec | None:
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for spec in PROVIDERS:
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if spec.name == name:
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return spec
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return None
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def find_by_model(model: str) -> ProviderSpec | None:
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"""按模型名关键词匹配标准 provider。"""
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model_lower = model.lower()
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model_normalized = model_lower.replace("-", "_")
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model_prefix = model_lower.split("/", 1)[0] if "/" in model_lower else ""
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normalized_prefix = model_prefix.replace("-", "_")
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standard_specs = [spec for spec in PROVIDERS if not spec.is_gateway and not spec.is_local]
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# 显式前缀优先级最高。
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# 这里不能只看 standard provider：
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# - `openrouter/...` 应该直接命中 openrouter
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# - `hosted_vllm/...` 应该能回到 vllm 这个本地 provider
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# - `github_copilot/...codex` 也不应被误判成 openai_codex
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for spec in PROVIDERS:
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aliases = {spec.name}
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if spec.litellm_prefix:
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aliases.add(spec.litellm_prefix.replace("-", "_"))
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if model_prefix and normalized_prefix in aliases:
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return spec
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for spec in standard_specs:
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if any(keyword in model_lower or keyword.replace("-", "_") in model_normalized for keyword in spec.keywords):
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return spec
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return None
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def find_gateway(
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provider_name: str | None = None,
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api_key: str | None = None,
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api_base: str | None = None,
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) -> ProviderSpec | None:
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"""按 config key / api_key / api_base 识别 gateway 或 local provider。"""
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if provider_name:
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spec = find_by_name(provider_name)
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if spec and (spec.is_gateway or spec.is_local):
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return spec
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for spec in PROVIDERS:
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if spec.detect_by_key_prefix and api_key and api_key.startswith(spec.detect_by_key_prefix):
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return spec
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if spec.detect_by_base_keyword and api_base and spec.detect_by_base_keyword in api_base:
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return spec
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return None
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