steven_li
3b0af173cc
移除了所有Hermes相关的命名引用，包括： - 从.gitignore中清理相关构建缓存文件 - 将README中的beaver-home路径配置更新 - 完善backend/README.md文档说明Beaver后端主线实现 - 移除Hermes风格的相关注释和兼容性代码 - 清理nanobot环境变量兼容性处理 - 删除技能迁移和服务迁移相关功能代码 - 更新测试用例中相关命名和函数名 BREAKING CHANGE: 移除了Hermes迁移相关API和CLI命令，不再支持nanobot环境变量兼容性
409 lines
14 KiB
Python
409 lines
14 KiB
Python
"""Provider runtime resolution for Beaver."""
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from __future__ import annotations
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from dataclasses import dataclass, field, replace
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from typing import Any
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from .registry import ProviderSpec, find_by_model, find_by_name, find_gateway
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@dataclass(slots=True)
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class ProviderRoutingConfig:
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"""OpenRouter provider routing 配置。"""
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sort: str | None = None
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only: list[str] = field(default_factory=list)
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ignore: list[str] = field(default_factory=list)
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order: list[str] = field(default_factory=list)
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require_parameters: bool = False
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data_collection: str | None = None
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@dataclass(slots=True)
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class ProviderTarget:
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"""一次 provider 选路请求的标准化配置。
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这层不是具体 runtime，而是“调用方想要什么”：
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- 用哪个 provider
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- 跑哪个 model
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- 是否指定自定义 base_url
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- 是否带额外 headers / routing
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后面 `resolve_provider_runtime()` 会把它真正解析成可实例化的 runtime。
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"""
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provider_name: str | None = None
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model: 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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extra_headers: dict[str, str] = field(default_factory=dict)
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request_timeout_seconds: float | None = None
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routing: ProviderRoutingConfig | None = None
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@dataclass(slots=True)
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class ProviderRuntime:
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"""运行时真正使用的 provider 解析结果。"""
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spec: ProviderSpec
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model: str
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provider_name: str
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api_mode: str
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api_key: str | None = None
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api_base: str | None = None
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default_model: str | None = None
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request_timeout_seconds: float | None = None
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extra_headers: dict[str, str] = field(default_factory=dict)
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routing: ProviderRoutingConfig | None = None
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fallback_target: ProviderTarget | None = None
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auxiliary: bool = False
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role: str = "main"
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source: str = "runtime"
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def resolve_provider_runtime(
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*,
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model: str,
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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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request_timeout_seconds: float | None = None,
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extra_headers: dict[str, str] | None = None,
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routing: ProviderRoutingConfig | None = None,
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fallback_target: ProviderTarget | dict[str, Any] | None = None,
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auxiliary: bool = False,
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role: str = "main",
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source: str = "runtime",
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) -> ProviderRuntime:
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"""把调用侧传入的配置解析成统一 runtime。"""
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gateway = find_gateway(provider_name, api_key, api_base)
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if gateway is not None:
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spec = gateway
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elif provider_name:
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spec = find_by_name(provider_name)
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else:
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spec = find_by_model(model)
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if spec is None:
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if api_base:
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spec = find_by_name("custom")
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else:
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raise ValueError(f"Unable to resolve provider for model={model!r} provider_name={provider_name!r}")
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resolved_model = _resolve_model_name(spec, model, gateway_mode=(gateway is not None))
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resolved_api_base = api_base or spec.default_api_base or None
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return ProviderRuntime(
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spec=spec,
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model=resolved_model,
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provider_name=spec.name,
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api_mode=spec.api_mode,
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api_key=api_key,
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api_base=resolved_api_base,
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default_model=resolved_model,
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request_timeout_seconds=request_timeout_seconds,
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extra_headers=extra_headers or {},
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routing=routing,
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fallback_target=normalize_provider_target(fallback_target),
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auxiliary=auxiliary,
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role=role,
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source=source,
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)
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def normalize_provider_target(target: ProviderTarget | dict[str, Any] | None) -> ProviderTarget | None:
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"""把 dict/对象形式的 provider 配置收敛成统一结构。
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这里兼容几种常见写法，便于后续接 CLI / config / gateway：
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- `provider` 或 `provider_name`
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- `base_url` 或 `api_base`
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- `headers` 或 `extra_headers`
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- `timeout` 或 `request_timeout_seconds`
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"""
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if target is None:
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return None
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if isinstance(target, ProviderTarget):
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return target
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provider_name = target.get("provider_name")
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if provider_name is None:
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provider_name = target.get("provider")
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api_base = target.get("api_base")
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if api_base is None:
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api_base = target.get("base_url")
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extra_headers = target.get("extra_headers")
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if extra_headers is None:
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extra_headers = target.get("headers")
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request_timeout_seconds = target.get("request_timeout_seconds")
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if request_timeout_seconds is None:
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request_timeout_seconds = target.get("timeout")
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routing = target.get("routing")
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if isinstance(routing, dict):
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routing = ProviderRoutingConfig(**routing)
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return ProviderTarget(
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provider_name=provider_name,
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model=target.get("model"),
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api_key=target.get("api_key"),
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api_base=api_base,
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extra_headers=dict(extra_headers or {}),
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request_timeout_seconds=request_timeout_seconds,
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routing=routing,
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)
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def resolve_fallback_runtime(
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primary_runtime: ProviderRuntime,
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fallback_target: ProviderTarget | dict[str, Any] | None,
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) -> ProviderRuntime | None:
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"""把 fallback 配置解析成独立 runtime。
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fallback 的语义是“主 provider 失败后切换到另一个 provider:model”。
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这里先把 fallback 解析独立出来，具体何时激活交给上层 chain/factory。
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"""
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target = normalize_provider_target(fallback_target)
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if target is None or not target.model:
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return None
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inferred_provider = target.provider_name
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if inferred_provider in {None, "", "main"}:
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inferred_provider = primary_runtime.provider_name
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api_key = target.api_key
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api_base = target.api_base
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extra_headers = dict(target.extra_headers)
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# 只有在 fallback 没明确切换 provider/base 时，才继承主链的凭据与 headers。
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if inferred_provider == primary_runtime.provider_name and not api_base:
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api_key = api_key or primary_runtime.api_key
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api_base = api_base or primary_runtime.api_base
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if not extra_headers:
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extra_headers = dict(primary_runtime.extra_headers)
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return resolve_provider_runtime(
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model=target.model,
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provider_name=inferred_provider,
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api_key=api_key,
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api_base=api_base,
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request_timeout_seconds=target.request_timeout_seconds or primary_runtime.request_timeout_seconds,
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extra_headers=extra_headers,
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routing=target.routing,
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auxiliary=False,
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role="fallback",
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source="fallback_config",
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)
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def resolve_auxiliary_runtime(
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primary_runtime: ProviderRuntime,
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target: ProviderTarget | dict[str, Any] | None = None,
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*,
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task_name: str = "auxiliary",
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) -> ProviderRuntime:
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"""解析辅助任务专用 runtime。
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支持三类输入：
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- `None` / `provider=main`：直接复用主链 provider
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- 显式 `provider + model`：走独立 provider
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- 仅给 `model`：按模型名自动匹配 provider
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"""
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normalized = normalize_provider_target(target)
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if normalized is None:
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return _clone_runtime(
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primary_runtime,
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auxiliary=True,
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role=task_name,
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source="main_runtime",
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)
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provider_name = normalized.provider_name
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if provider_name in {None, "", "main"} and not normalized.api_base and not normalized.model:
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return _clone_runtime(
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primary_runtime,
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auxiliary=True,
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role=task_name,
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source="main_runtime",
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routing=normalized.routing or primary_runtime.routing,
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extra_headers=normalized.extra_headers or primary_runtime.extra_headers,
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request_timeout_seconds=normalized.request_timeout_seconds or primary_runtime.request_timeout_seconds,
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)
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if provider_name == "main":
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return resolve_provider_runtime(
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model=normalized.model or primary_runtime.model,
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provider_name=primary_runtime.provider_name,
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api_key=normalized.api_key or primary_runtime.api_key,
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api_base=normalized.api_base or primary_runtime.api_base,
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request_timeout_seconds=normalized.request_timeout_seconds or primary_runtime.request_timeout_seconds,
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extra_headers=normalized.extra_headers or primary_runtime.extra_headers,
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routing=normalized.routing or primary_runtime.routing,
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auxiliary=True,
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role=task_name,
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source="main_runtime",
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)
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if provider_name in {"auto", None, ""} and not normalized.api_base and normalized.model is None:
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return _clone_runtime(
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primary_runtime,
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auxiliary=True,
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role=task_name,
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source="auto->main",
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)
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resolved_model = normalized.model or primary_runtime.model
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resolved_provider = normalized.provider_name
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if resolved_provider in {"auto", "", None} and not normalized.api_base:
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# `auto` 的第一阶段实现保持保守：
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# - 有显式 model 时按 model 匹配 provider
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# - 匹配不到则回退主链 provider
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spec = find_by_model(resolved_model)
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resolved_provider = spec.name if spec is not None else primary_runtime.provider_name
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api_key = normalized.api_key
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api_base = normalized.api_base
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extra_headers = dict(normalized.extra_headers)
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if resolved_provider == primary_runtime.provider_name and not api_base:
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api_key = api_key or primary_runtime.api_key
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api_base = api_base or primary_runtime.api_base
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if not extra_headers:
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extra_headers = dict(primary_runtime.extra_headers)
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return resolve_provider_runtime(
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model=resolved_model,
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provider_name=resolved_provider,
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api_key=api_key,
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api_base=api_base,
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request_timeout_seconds=normalized.request_timeout_seconds or primary_runtime.request_timeout_seconds,
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extra_headers=extra_headers,
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routing=normalized.routing or primary_runtime.routing,
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auxiliary=True,
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role=task_name,
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source="auxiliary_config",
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)
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def resolve_embedding_runtime(
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primary_runtime: ProviderRuntime,
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target: ProviderTarget | dict[str, Any] | None = None,
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*,
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default_model: str = "text-embedding-v4",
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) -> ProviderRuntime | None:
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"""解析 embedding 专用 runtime。
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目标是把“embedding 用哪个 model / api_base / api_key”也收进 provider 层，
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避免上层检索逻辑直接偷拿 main/aux provider 的凭据。
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"""
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normalized = normalize_provider_target(target)
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if normalized is None:
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# 没有显式 embedding 配置时，只允许在主链本身就是 OpenAI-compatible
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# 的情况下，继承它的 api_base/api_key。否则不做模糊猜测。
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if not _supports_openai_embeddings(primary_runtime):
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return None
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return resolve_provider_runtime(
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model=default_model,
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provider_name="openai",
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api_key=primary_runtime.api_key,
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api_base=primary_runtime.api_base,
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request_timeout_seconds=primary_runtime.request_timeout_seconds,
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extra_headers=dict(primary_runtime.extra_headers),
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routing=primary_runtime.routing,
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auxiliary=False,
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role="embedding",
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source="embedding_inherited",
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)
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resolved_model = normalized.model or default_model
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resolved_provider = normalized.provider_name
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if resolved_provider in {None, "", "main", "auto"}:
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resolved_provider = "custom" if normalized.api_base else "openai"
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api_key = normalized.api_key
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api_base = normalized.api_base
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extra_headers = dict(normalized.extra_headers)
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if not api_base and _supports_openai_embeddings(primary_runtime):
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api_key = api_key or primary_runtime.api_key
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api_base = api_base or primary_runtime.api_base
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if not extra_headers:
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extra_headers = dict(primary_runtime.extra_headers)
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runtime = resolve_provider_runtime(
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model=resolved_model,
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provider_name=resolved_provider,
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api_key=api_key,
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api_base=api_base,
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request_timeout_seconds=normalized.request_timeout_seconds or primary_runtime.request_timeout_seconds,
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extra_headers=extra_headers,
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routing=normalized.routing,
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auxiliary=False,
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role="embedding",
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source="embedding_config",
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)
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if not _supports_openai_embeddings(runtime):
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raise ValueError("Embedding runtime currently requires an OpenAI-compatible provider")
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return runtime
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def _supports_openai_embeddings(runtime: ProviderRuntime) -> bool:
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"""当前 embedding retriever 只支持 OpenAI-compatible `/v1/embeddings`。"""
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return runtime.api_mode == "chat_completions" and runtime.spec.provider_impl in {"litellm", "custom"}
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def _clone_runtime(
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runtime: ProviderRuntime,
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**changes: Any,
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) -> ProviderRuntime:
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"""基于现有 runtime 复制一个轻量变体。
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用在 `provider=main` 这类场景，避免重复跑一次 registry 解析。
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"""
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payload = {
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"extra_headers": dict(runtime.extra_headers),
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"routing": runtime.routing,
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"fallback_target": runtime.fallback_target,
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}
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payload.update(changes)
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return replace(runtime, **payload)
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def _resolve_model_name(spec: ProviderSpec, model: str, *, gateway_mode: bool) -> str:
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"""根据 registry 规则应用必要前缀。"""
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resolved = model
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if gateway_mode:
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prefix = spec.litellm_prefix
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if spec.strip_model_prefix:
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resolved = resolved.split("/")[-1]
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if prefix and not resolved.startswith(f"{prefix}/"):
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resolved = f"{prefix}/{resolved}"
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return resolved
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if spec.litellm_prefix:
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resolved = _canonicalize_explicit_prefix(resolved, spec.name, spec.litellm_prefix)
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if not any(resolved.startswith(item) for item in spec.skip_prefixes):
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resolved = f"{spec.litellm_prefix}/{resolved}"
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return resolved
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def _canonicalize_explicit_prefix(model: str, spec_name: str, canonical_prefix: str) -> str:
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if "/" not in model:
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return model
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prefix, remainder = model.split("/", 1)
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if prefix.lower().replace("-", "_") != spec_name:
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return model
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return f"{canonical_prefix}/{remainder}"
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