fix: 统一缓存token计费口径,避免OpenAI错误计费 (#144)

* fix: 统一缓存token计费口径,避免OpenAI错误计费

* fix: 添加 Gemini 缓存 token 归一化支持,优化代码结构

- Gemini 的 promptTokenCount 包含 cachedContentTokenCount,需要扣除
- 合并重复的 helper 函数为 _get_api_family()
- 将 import 移到文件顶部
- 补充 Gemini 测试用例

---------

Co-authored-by: fawney19 <elky0401@gmail.com>
This commit is contained in:
Yorha
2026-02-04 16:04:09 +08:00
committed by GitHub
parent f64631a3a3
commit 26a0f99f8f
5 changed files with 130 additions and 32 deletions

View File

@@ -126,16 +126,7 @@ class MessageTelemetry:
# Provider 响应元数据(如 Gemini 的 modelVersion
response_metadata: dict[str, Any] | None = None,
) -> float:
total_cost = await self.calculate_cost(
provider,
model,
input_tokens=input_tokens,
output_tokens=output_tokens,
cache_creation_tokens=cache_creation_tokens,
cache_read_tokens=cache_read_tokens,
)
await UsageService.record_usage(
usage = await UsageService.record_usage(
db=self.db,
user=self.user,
api_key=self.api_key,
@@ -170,6 +161,8 @@ class MessageTelemetry:
metadata=response_metadata,
)
total_cost = float(getattr(usage, "total_cost_usd", 0.0) or 0.0)
if self.user and self.api_key:
audit_service.log_api_request(
db=self.db,
@@ -181,8 +174,8 @@ class MessageTelemetry:
success=True,
ip_address=self.client_ip,
status_code=status_code,
input_tokens=input_tokens,
output_tokens=output_tokens,
input_tokens=getattr(usage, "input_tokens", input_tokens),
output_tokens=getattr(usage, "output_tokens", output_tokens),
cost_usd=total_cost,
)

View File

@@ -1903,10 +1903,6 @@ class CliMessageHandlerBase(BaseMessageHandler):
logger.warning(f"[{ctx.request_id}] 流式请求失败,未选中提供商")
return
# Claude API 的 input_tokens 已经是非缓存部分,不需要再减去 cached_tokens
# 实际计费的输入 tokens = input_tokens + cache_creation_tokens缓存读取免费或折扣
actual_input_tokens = ctx.input_tokens
# 获取新的 DB session
db_gen = get_db()
bg_db = next(db_gen)
@@ -1961,7 +1957,7 @@ class CliMessageHandlerBase(BaseMessageHandler):
is_stream=True,
api_format=ctx.api_format,
provider_request_headers=ctx.provider_request_headers,
input_tokens=actual_input_tokens,
input_tokens=ctx.input_tokens,
output_tokens=ctx.output_tokens,
cache_creation_tokens=ctx.cache_creation_tokens,
cache_read_tokens=ctx.cached_tokens,
@@ -1975,7 +1971,7 @@ class CliMessageHandlerBase(BaseMessageHandler):
logger.debug(f"{self.FORMAT_ID} 流式响应被客户端取消")
logger.info(
f"[CANCEL] {self.request_id[:8]} | {ctx.model} | {ctx.provider_name} | {response_time_ms}ms | "
f"{ctx.status_code} | in:{actual_input_tokens} out:{ctx.output_tokens} cache:{ctx.cached_tokens}"
f"{ctx.status_code} | in:{ctx.input_tokens} out:{ctx.output_tokens} cache:{ctx.cached_tokens}"
)
else:
# 服务端/上游异常:记录为失败
@@ -1991,7 +1987,7 @@ class CliMessageHandlerBase(BaseMessageHandler):
api_format=ctx.api_format,
provider_request_headers=ctx.provider_request_headers,
# 预估 token 信息(来自 message_start 事件)
input_tokens=actual_input_tokens,
input_tokens=ctx.input_tokens,
output_tokens=ctx.output_tokens,
cache_creation_tokens=ctx.cache_creation_tokens,
cache_read_tokens=ctx.cached_tokens,
@@ -2007,7 +2003,7 @@ class CliMessageHandlerBase(BaseMessageHandler):
logger.debug(f"{self.FORMAT_ID} 流式响应中断")
logger.info(
f"[FAIL] {self.request_id[:8]} | {ctx.model} | {ctx.provider_name} | {response_time_ms}ms | "
f"{ctx.status_code} | in:{actual_input_tokens} out:{ctx.output_tokens} cache:{ctx.cached_tokens}"
f"{ctx.status_code} | in:{ctx.input_tokens} out:{ctx.output_tokens} cache:{ctx.cached_tokens}"
)
else:
# 在记录统计前,允许子类从 parsed_chunks 中提取额外的元数据
@@ -2026,12 +2022,12 @@ class CliMessageHandlerBase(BaseMessageHandler):
logger.debug(
f"[{ctx.request_id}] 开始记录 Usage: "
f"provider={ctx.provider_name}, model={ctx.model}, "
f"in={actual_input_tokens}, out={ctx.output_tokens}"
f"in={ctx.input_tokens}, out={ctx.output_tokens}"
)
total_cost = await bg_telemetry.record_success(
provider=ctx.provider_name,
model=ctx.model,
input_tokens=actual_input_tokens,
input_tokens=ctx.input_tokens,
output_tokens=ctx.output_tokens,
response_time_ms=response_time_ms,
first_byte_time_ms=ctx.first_byte_time_ms, # 传递首字时间
@@ -2492,8 +2488,6 @@ class CliMessageHandlerBase(BaseMessageHandler):
output_tokens = usage.get("output_tokens", 0)
cached_tokens = usage.get("cache_read_tokens", 0)
cache_creation_tokens = usage.get("cache_creation_tokens", 0)
# Claude API 的 input_tokens 已经是非缓存部分,不需要再减去 cached_tokens
actual_input_tokens = input_tokens
output_text = self.parser.extract_text_content(response_json)[:200]
@@ -2507,7 +2501,7 @@ class CliMessageHandlerBase(BaseMessageHandler):
total_cost = await self.telemetry.record_success(
provider=provider_name,
model=model,
input_tokens=actual_input_tokens,
input_tokens=input_tokens,
output_tokens=output_tokens,
response_time_ms=response_time_ms,
status_code=status_code,