"""Cost attribution (架构文档 §13, FR-BILL-08, NFR-COST-01). **每一次付费调用都必须落 ``ob_ai_call``,并可归因到用户与功能。** V1 不收费让这张表的地位更高,不是更低 —— 它是 V2 定价的唯一数据来源, 不允许「先上线后补埋点」。 Rates are configuration, never constants at a call site: providers re-price without warning and V1's whole cost model depends on these numbers being correct at the time of the call. """ from __future__ import annotations from collections.abc import Mapping from dataclasses import dataclass, replace from datetime import UTC, datetime from decimal import ROUND_HALF_UP, Decimal from typing import Protocol, runtime_checkable from packages.llm.types import Usage _MILLION = Decimal("1000000") _QUANT = Decimal("0.000001") @dataclass(frozen=True, slots=True) class ModelRate: """Cents per 1M tokens. Cached input is billed at a lower rate by DeepSeek.""" input_cents_per_mtok: Decimal cached_input_cents_per_mtok: Decimal output_cents_per_mtok: Decimal @classmethod def from_mapping(cls, data: Mapping[str, Decimal | str | int | float]) -> ModelRate: return cls( input_cents_per_mtok=Decimal(str(data["input_cents_per_mtok"])), cached_input_cents_per_mtok=Decimal(str(data["cached_input_cents_per_mtok"])), output_cents_per_mtok=Decimal(str(data["output_cents_per_mtok"])), ) class RateTable: """model → :class:`ModelRate`, with an explicit fallback so an unknown model is still costed (a zero-cost blind spot is worse than an approximate one).""" def __init__(self, rates: dict[str, ModelRate], default: ModelRate) -> None: self._rates = dict(rates) self._default = default def for_model(self, model: str) -> ModelRate: return self._rates.get(model, self._default) def known_models(self) -> tuple[str, ...]: return tuple(sorted(self._rates)) def compute_cost_cents(usage: Usage, rate: ModelRate) -> Decimal: """Cost of one call, in cents, with cache-hit tokens billed separately.""" billable_input = Decimal(usage.billable_input) * rate.input_cents_per_mtok cached_input = Decimal(usage.tokens_cached) * rate.cached_input_cents_per_mtok output = Decimal(usage.tokens_out) * rate.output_cents_per_mtok total = (billable_input + cached_input + output) / _MILLION return total.quantize(_QUANT, rounding=ROUND_HALF_UP) @dataclass(frozen=True, slots=True) class AICallRecord: """One row of ``ob_ai_call``. Written for successes *and* failures.""" call_id: int scene: str provider: str model: str success: bool usage: Usage latency_ms: int cost_cents: Decimal user_id: int | None = None prompt_id: str | None = None prompt_version: str | None = None error_code: str | None = None error_message: str | None = None ref_type: str | None = None ref_id: str | None = None created_at: datetime | None = None def with_defaults(self) -> AICallRecord: if self.created_at is not None: return self return replace(self, created_at=datetime.now(UTC)) @runtime_checkable class AICallRecorder(Protocol): """Persistence port. The gateway never touches the ORM directly.""" async def record(self, record: AICallRecord) -> None: ... class NullAICallRecorder: """Explicitly opts out of cost attribution. Only valid in unit tests.""" async def record(self, record: AICallRecord) -> None: return None class InMemoryAICallRecorder: """Test double that keeps every record for assertions.""" def __init__(self) -> None: self.records: list[AICallRecord] = [] async def record(self, record: AICallRecord) -> None: self.records.append(record) class CompositeAICallRecorder: """Fan out to several recorders (e.g. PostgreSQL + Prometheus). A failure in one recorder must not lose the others, and must never fail the user's request — cost bookkeeping is mandatory but not user-facing. """ def __init__(self, *recorders: AICallRecorder) -> None: self._recorders = recorders async def record(self, record: AICallRecord) -> None: for recorder in self._recorders: await recorder.record(record)