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xsl a4d59aca30 feat(llm): four-tier daily budget degradation with manual override
把单一日预算熔断升级为架构 §13.3 的四档分级降级(T-P1-25b / NFR-COST-02):

- budget.py:新增 BudgetTier 配置模型与档位判定(current_tier/tier_name/
  blocked_scenes)。阈值相对 LLM_DAILY_BUDGET_CENTS:warn ≥60% 只告警;
  degrade_secondary ≥80% 拒 hd_export/report_regen;degrade_generation ≥90%
  追加拒 hairstyle/tryon;block_all ≥100% 拒全部非 critical、allow 名单
  (默认 agent_chat)放行。高档位 blocked 取「截至当前档的并集」(架构原文
  「追加拒绝」)。critical 场景全档豁免但照常计成本。
- 手动 override:Redis 键 llm:budget:override(值 "1"~"4"),优先于成本水
  位,读不到/非法则忽略;set_override TTL 到当日 UTC+8 24 点,跨预算日必然
  失效。CostCounter 协议相应增加 set/delete。
- 指标:Gauge llm_budget_tier + Counter llm_budget_blocked_total{scene}
  挂到共享 REGISTRY 随 /metrics 暴露;档位上升沿只告警一次
  (budget_tier_raised,实例内记 last_tier)。
- errors.py 新增 SceneDegradedError(tier2/3 拒绝);gateway.py 调用点换成
  ensure_scene_allowed(保留 ensure_within_budget 兼容入口);agent.py 映射
  LLM_SCENE_DEGRADED(60006);100% 档维持 DailyBudgetExceededError/60003 语义。
- 单测:新增 tests/unit/test_tiered_budget.py(27 例:四档边界、各档放行/
  拒绝、critical 豁免、override 加严/放宽/非法值/TTL、配置驱动)。
- 集成:tests/integration/test_vertical_slice.py 新增用例——预算 1 分 +
  block_all allow 清空 + Redis 注入当日成本,POST /agent/chat 返回 60003,
  断言 bl_ledger 中 consume(refunded,-1)+refund(committed,+1) 净和为 0,
  覆盖「reserve 之后才熔断 → refund」路径;fixture 重构为共享
  FakeProvider/fake_client,断言语义未弱化。

门禁:ruff check/format、mypy(packages/llm strict + 其余包)、lint-imports、
单测 196 passed、集成 4 passed。

偏差说明:
1. tests/unit/test_gateway.py 的 test_daily_budget_rejects_non_critical_
   scenes_before_spending 把被测场景 AGENT_CHAT 换成 REPORT_COPY(test_daily_
   budget.py 同用例换 tryon):block_all 档默认 allow=["agent_chat"](架构
   「仅保留纯文本对话」)后 agent_chat 在 100% 档不再被拒,原场景选择与新
   语义冲突;断言本身(进 provider 前被拒)未弱化。
2. 集成测试的 block_all 档配置为 blocked="*"+allow=[](文档示例为
   blocked=["agent_chat"]):后者按档位规则会走 SceneDegradedError/60006,
   前者才能按设计走既有 60003 语义(文档允许二者取其一且"按上面设计应为
   60003")。
2026-08-14 16:27:21 +08:00

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"""The LLM gateway (架构文档 §8.1).
Built-in capabilities, all exercised on every call:
=================== =========================================================
场景化路由 ``scene → (provider, model, temperature, max_tokens, timeout)``
故障转移 + 熔断 primary 超时/5xx/限流 → 自动切备用;连续失败熔断,冷却后半开
结构化输出 传入 Pydantic Schema → JSON 约束 + 解析失败重试 + 校验
Prompt 版本 模板文件按 id+version 加载,版本号随每次调用落库
缓存前缀纪律 固定前缀含时间戳/随机 ID/昵称 → 拒绝或告警 (§7.2, TD-04)
成本计量 每次 provider 调用(含失败与重试)写一行 ``ob_ai_call``
预算保护 平台级日成本四档分级降级:warn/secondary/generation/block_all (§13.3)
=================== =========================================================
Deliberately not here yet: streaming (SSE), 审核联动 (input/output moderation),
per-user rate limiting, A/B prompt split by user hash. See packages/llm/README.md.
"""
from __future__ import annotations
import re
import time
from collections.abc import Callable, Mapping, Sequence
from decimal import Decimal
from pydantic import BaseModel, ValidationError
from packages.domain.ids import next_id
from packages.llm.budget import DailyBudgetGuard
from packages.llm.circuit import CircuitBreakerRegistry
from packages.llm.cost import AICallRecord, AICallRecorder, RateResolver, compute_cost_cents
from packages.llm.errors import (
AllProvidersFailedError,
CircuitOpenError,
ProviderError,
SceneNotRoutedError,
StructuredOutputError,
)
from packages.llm.prompts import PromptRegistry, validate_cache_prefix
from packages.llm.providers.base import LLMProvider
from packages.llm.routing import SceneRouter
from packages.llm.types import (
Completion,
Message,
ProviderRequest,
Scene,
SceneConfig,
Usage,
)
from packages.shared.logging import get_logger
logger = get_logger(__name__)
_JSON_FENCE_RE = re.compile(r"```(?:json)?\s*(.*?)```", re.DOTALL)
_STRUCTURED_INVALID = "llm_structured_output_invalid"
def extract_json(text: str) -> str:
"""Pull the JSON object out of a model reply that may be fenced or chatty."""
match = _JSON_FENCE_RE.search(text)
candidate = (match.group(1) if match else text).strip()
start, end = candidate.find("{"), candidate.rfind("}")
if start != -1 and end > start:
return candidate[start : end + 1]
return candidate
class LLMGateway:
"""Single entry point for every LLM call in the platform."""
def __init__(
self,
*,
providers: Mapping[str, LLMProvider],
router: SceneRouter,
prompts: PromptRegistry,
rates: RateResolver,
recorder: AICallRecorder,
budget: DailyBudgetGuard,
breakers: CircuitBreakerRegistry | None = None,
id_factory: Callable[[], int] = next_id,
timer: Callable[[], float] = time.perf_counter,
) -> None:
self._providers = dict(providers)
self._router = router
self._prompts = prompts
self._rates = rates
self._recorder = recorder
self._budget = budget
self._breakers = breakers or CircuitBreakerRegistry()
self._id_factory = id_factory
self._timer = timer
# -- public API ---------------------------------------------------------
async def complete(
self,
*,
scene: Scene,
messages: Sequence[Message] = (),
prompt_vars: Mapping[str, str] | None = None,
schema: type[BaseModel] | None = None,
user_id: int | None = None,
ref_type: str | None = None,
ref_id: str | None = None,
) -> Completion:
config = self._router.resolve(scene)
# Gate 1: four-tier graded daily cost breaker (架构文档 §13.3),
# checked before any spend — 在途任务不受影响,这里只拦新请求。
await self._budget.ensure_scene_allowed(scene=scene.value, critical=config.critical)
template = self._prompts.get(config.prompt_id, config.prompt_version)
violations = validate_cache_prefix(
template.system_prefix, mode=self._prompts.cache_prefix_mode, ref=template.ref
)
if violations:
logger.warning(
"llm_prompt_cache_prefix_violation",
prompt=template.ref,
violations=[str(v) for v in violations],
)
composed = self._compose(
system_prefix=template.system_prefix,
user_text=template.render_user(dict(prompt_vars or {})),
messages=messages,
schema=schema,
)
failures: list[Exception] = []
for provider_name in config.providers:
provider = self._providers.get(provider_name)
if provider is None:
failures.append(
SceneNotRoutedError(f"provider '{provider_name}' is not registered")
)
continue
breaker = self._breakers.get(provider_name)
if not breaker.allow():
logger.warning(
"llm_circuit_open", provider=provider_name, state=breaker.state.value
)
failures.append(CircuitOpenError(provider_name, f"circuit {breaker.state.value}"))
continue
try:
completion = await self._call_provider(
provider=provider,
config=config,
messages=composed,
schema=schema,
user_id=user_id,
prompt_id=template.prompt_id,
prompt_version=template.version,
ref_type=ref_type,
ref_id=ref_id,
)
except ProviderError as exc:
if not exc.retryable:
# A malformed request would fail on the backup too.
raise
breaker.record_failure()
failures.append(exc)
logger.warning(
"llm_provider_failed",
provider=provider_name,
scene=scene.value,
error_code=exc.code,
circuit=breaker.state.value,
)
continue
except StructuredOutputError as exc:
breaker.record_failure()
failures.append(exc)
continue
breaker.record_success()
return completion
raise AllProvidersFailedError(scene.value, failures)
def breaker_states(self) -> dict[str, str]:
return self._breakers.snapshot()
async def aclose(self) -> None:
for provider in self._providers.values():
await provider.aclose()
# -- internals ----------------------------------------------------------
@staticmethod
def _compose(
*,
system_prefix: str,
user_text: str,
messages: Sequence[Message],
schema: type[BaseModel] | None,
) -> list[Message]:
"""架构文档 §7.2 ③: 固定前缀放最前以命中缓存,变量部分一律排在后面。"""
composed: list[Message] = [Message(role="system", content=system_prefix)]
composed.extend(messages)
if user_text:
composed.append(Message(role="user", content=user_text))
if schema is not None:
composed.append(Message(role="user", content=_schema_instruction(schema)))
return composed
async def _call_provider(
self,
*,
provider: LLMProvider,
config: SceneConfig,
messages: Sequence[Message],
schema: type[BaseModel] | None,
user_id: int | None,
prompt_id: str,
prompt_version: str,
ref_type: str | None,
ref_id: str | None,
) -> Completion:
model = config.model_for(provider.name, provider.default_model)
conversation: list[Message] = list(messages)
max_attempts = config.structured_max_retries + 1 if schema is not None else 1
schema_name = schema.__name__ if schema is not None else "<none>"
last_detail = "no attempt was made"
for attempt in range(1, max_attempts + 1):
request = ProviderRequest(
model=model,
messages=tuple(conversation),
temperature=config.temperature,
max_tokens=config.max_tokens,
timeout_seconds=config.timeout_seconds,
json_mode=schema is not None,
thinking=config.thinking,
)
call_id = self._id_factory()
started = self._timer()
try:
response = await provider.complete(request)
except ProviderError as exc:
await self._write_record(
AICallRecord(
call_id=call_id,
scene=config.scene.value,
provider=provider.name,
model=model,
success=False,
usage=Usage(),
latency_ms=self._elapsed_ms(started),
cost_cents=Decimal("0"),
user_id=user_id,
prompt_id=prompt_id,
prompt_version=prompt_version,
rate_tier=self._rates.current_tier(),
error_code=exc.code,
error_message=str(exc)[:1000],
ref_type=ref_type,
ref_id=ref_id,
)
)
raise
latency_ms = self._elapsed_ms(started)
# 单价与档位在同一刻取,成本落库后不再回算 —— 跨时段重算会改掉历史成本。
rate_tier = self._rates.current_tier()
cost = compute_cost_cents(response.usage, self._rates.for_model(response.model))
parsed: BaseModel | None = None
success = True
error_code: str | None = None
if schema is not None:
try:
parsed = schema.model_validate_json(extract_json(response.text))
except (ValidationError, ValueError) as exc:
success = False
error_code = _STRUCTURED_INVALID
last_detail = str(exc)[:400]
await self._write_record(
AICallRecord(
call_id=call_id,
scene=config.scene.value,
provider=provider.name,
model=response.model,
success=success,
usage=response.usage,
latency_ms=latency_ms,
cost_cents=cost,
user_id=user_id,
prompt_id=prompt_id,
prompt_version=prompt_version,
rate_tier=rate_tier,
error_code=error_code,
error_message=last_detail if not success else None,
ref_type=ref_type,
ref_id=ref_id,
)
)
# Budget accrues on every attempt, including ones we then discard —
# a validation-retry loop costs real money and must be visible.
await self._budget.add_cost(cost)
if success:
return Completion(
text=response.text,
scene=config.scene,
provider=provider.name,
model=response.model,
prompt_id=prompt_id,
prompt_version=prompt_version,
usage=response.usage,
latency_ms=latency_ms,
cost_cents=cost,
call_id=call_id,
parsed=parsed,
attempts=attempt,
)
logger.warning(
"llm_structured_output_invalid",
provider=provider.name,
scene=config.scene.value,
schema=schema_name,
attempt=attempt,
)
conversation.append(Message(role="assistant", content=response.text))
conversation.append(Message(role="user", content=_repair_instruction(last_detail)))
raise StructuredOutputError(provider.name, schema_name, max_attempts, last_detail)
def _elapsed_ms(self, started: float) -> int:
return max(int((self._timer() - started) * 1000), 0)
async def _write_record(self, record: AICallRecord) -> None:
"""Cost attribution is mandatory but must never break the user's request."""
try:
await self._recorder.record(record.with_defaults())
except Exception:
logger.exception("ai_call_record_failed", call_id=record.call_id, scene=record.scene)
def _schema_instruction(schema: type[BaseModel]) -> str:
import json
return (
"请只输出一个 JSON 对象,不要包含解释文字或代码块标记。"
"该对象必须严格符合以下 JSON Schema:\n"
f"{json.dumps(schema.model_json_schema(), ensure_ascii=False)}"
)
def _repair_instruction(detail: str) -> str:
return (
"上一次输出不符合要求的 JSON Schema,校验错误如下:\n"
f"{detail}\n"
"请重新只输出修正后的 JSON 对象,不要包含任何其他文字。"
)