193 lines
7.6 KiB
Python
193 lines
7.6 KiB
Python
from __future__ import annotations
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from .shared import *
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class LLMControlPlaneRoutingMixin:
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def _mixed_routing_enabled(self) -> bool:
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return _env_bool("LLM_MIXED_ROUTING_ENABLED", False)
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def _control_plane_routing_enabled(self) -> bool:
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return _env_bool("CONTROL_PLANE_ROUTING_ENABLED", False)
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def _control_plane_only(self) -> bool:
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return _env_bool("CONTROL_PLANE_ONLY", False)
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def _ensure_control_plane_engine(self, engine: dict[str, Any]) -> dict[str, Any]:
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runtime = dict(engine or {})
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runtime["source_provider"] = str(runtime.get("source_provider") or runtime.get("provider") or "").strip().lower()
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return runtime
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def _control_plane_rules_path(self) -> str:
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return str(resolve_model_config_path())
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def _load_control_plane_routing_bundle(self) -> dict[str, Any]:
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now = time.time()
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if self._control_plane_routing_cache and self._control_plane_routing_cache[0] > now:
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return dict(self._control_plane_routing_cache[1])
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path = Path(self._control_plane_rules_path())
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bundle: dict[str, Any] = load_model_config(path=path)
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self._control_plane_routing_cache = (now + CONTROL_PLANE_ROUTING_CACHE_TTL_SECONDS, dict(bundle))
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return dict(bundle)
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@staticmethod
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def _rule_matches_function(rule: dict[str, Any], function_name: str) -> bool:
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return rule_matches_function(rule, function_name)
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def _match_control_plane_rule(
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self,
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function_name: str,
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*,
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tier_filter: Optional[set[str]] = None,
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) -> Optional[dict[str, Any]]:
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if not self._control_plane_routing_enabled():
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return None
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bundle = self._load_control_plane_routing_bundle()
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return find_matching_rule(
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function_name,
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tier_filter=tier_filter,
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bundle=bundle,
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)
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def _resolve_control_plane_engine(
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self,
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*,
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function_name: str,
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engines: list[dict[str, Any]],
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active_engine: dict[str, Any],
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slot_bundle: dict[str, Any] | None = None,
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routing_meta: dict[str, Any] | None = None,
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) -> Optional[dict[str, Any]]:
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meta = _normalize_routing_meta(routing_meta)
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tier_filter: set[str] = {"low", "high"}
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explicit_tier = _optional_tier_alias(
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meta.get("planned_tier")
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or meta.get("tier_alias")
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or meta.get("executed_tier")
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)
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if (
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str(meta.get("routing_decision") or "").strip().lower() == "force_low_first"
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and explicit_tier in {"low", "high"}
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):
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tier_filter = {explicit_tier}
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rule = self._match_control_plane_rule(function_name, tier_filter=tier_filter)
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if not rule:
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return None
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routed = self._resolve_engine_from_rule(
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rule=rule,
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engines=engines,
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active_engine=active_engine,
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slot_bundle=slot_bundle,
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)
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if routed is None:
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return None
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bundle = self._load_control_plane_routing_bundle()
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config_snapshot = build_routing_config_snapshot(bundle=bundle)
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tier_alias = str(rule.get("tier") or "").strip().lower() or "low"
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routed = _merge_engine_routing_meta(
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routed,
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tier_alias=tier_alias,
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planned_tier=tier_alias,
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executed_tier=tier_alias,
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route_source="default",
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route_rule_name=str(rule.get("name") or "").strip(),
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rule_priority=int(rule.get("priority") or 0),
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routing_decision="rule_match",
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routing_config_version=config_snapshot.get("routing_config_version"),
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routing_config_updated_at=config_snapshot.get("routing_config_updated_at"),
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)
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_runtime_log(
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"PMFlow 本地路由层路由",
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(
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"规则命中："
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f"function={function_name}, {_routing_meta_log_text(_read_engine_routing_meta(routed))}"
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),
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)
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return routed
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def _resolve_engine_from_rule(
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self,
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*,
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rule: dict[str, Any],
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engines: list[dict[str, Any]],
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active_engine: dict[str, Any],
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slot_bundle: dict[str, Any] | None = None,
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) -> Optional[dict[str, Any]]:
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tier = str(rule.get("tier") or "").strip().lower()
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provider_raw = str(rule.get("provider") or "").strip().lower()
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engine_id = str(rule.get("engine_id") or "").strip()
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model_override = str(rule.get("model") or "").strip()
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base_url_override = str(rule.get("base_url") or "").strip().rstrip("/")
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routed: Optional[dict[str, Any]] = None
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if engine_id:
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for item in engines:
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if str(item.get("id") or "").strip() == engine_id:
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routed = self._normalize_engine_runtime(item)
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break
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if routed is None and tier in {"high", "low"}:
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routed = self._resolve_tier_engine(
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tier=tier,
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engines=engines,
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active_engine=active_engine,
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slot_bundle=slot_bundle,
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)
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if routed is None and provider_raw:
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try:
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provider = _normalize_provider(provider_raw)
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except Exception:
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provider = ""
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if provider:
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for item in engines:
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if str(item.get("provider") or "").strip().lower() == provider:
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routed = self._normalize_engine_runtime(item)
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break
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if routed is None:
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return None
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if model_override and not self._slot_binding_exists(slot_bundle=slot_bundle, tier=tier):
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routed["model"] = model_override
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if base_url_override and not self._slot_binding_exists(slot_bundle=slot_bundle, tier=tier):
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routed["base_url"] = base_url_override
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return routed
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@staticmethod
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def _slot_binding_exists(*, slot_bundle: dict[str, Any] | None, tier: str) -> bool:
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slots = {}
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if isinstance(slot_bundle, dict):
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active = slot_bundle.get("active") if isinstance(slot_bundle.get("active"), dict) else {}
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if isinstance(active.get("slots"), dict):
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slots = active["slots"]
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elif isinstance(slot_bundle.get("slots"), dict):
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slots = slot_bundle["slots"]
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slot = slots.get(str(tier or "").strip().lower())
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return isinstance(slot, dict) and bool(str(slot.get("primary_engine_id") or "").strip())
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def _resolve_function_tier(self, function_name: str, routing_meta: dict[str, Any] | None = None) -> str:
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meta = _normalize_routing_meta(routing_meta)
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explicit_tier = _optional_tier_alias(
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meta.get("planned_tier")
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or meta.get("tier_alias")
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or meta.get("executed_tier")
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)
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if explicit_tier:
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return explicit_tier
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fn = str(function_name or "").strip().lower()
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if not fn:
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return str(os.getenv("LLM_ROUTING_DEFAULT_TIER", "low") or "low").strip().lower()
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bundle = self._load_control_plane_routing_bundle()
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rule = find_matching_rule(fn, tier_filter={"low", "high"}, bundle=bundle)
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if isinstance(rule, dict):
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configured_tier = str(rule.get("tier") or "").strip().lower()
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if configured_tier in {"low", "high"}:
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return configured_tier
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default_tier = str(os.getenv("LLM_ROUTING_DEFAULT_TIER", "low") or "low").strip().lower()
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if default_tier in {"low", "high"}:
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return default_tier
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return "high" if self._mixed_routing_enabled() else "low"
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