llm统计记录模型反应时间

This commit is contained in:
雅诺狐
2025-08-16 14:26:18 +08:00
committed by Windpicker-owo
parent 5704dcc1d8
commit dfecccfc56
3 changed files with 28 additions and 6 deletions

View File

@@ -90,6 +90,18 @@ STD_TIME_COST_BY_MODULE = "std_time_costs_by_module"
ONLINE_TIME = "online_time"
TOTAL_MSG_CNT = "total_messages"
MSG_CNT_BY_CHAT = "messages_by_chat"
TIME_COST_BY_TYPE = "time_costs_by_type"
TIME_COST_BY_USER = "time_costs_by_user"
TIME_COST_BY_MODEL = "time_costs_by_model"
TIME_COST_BY_MODULE = "time_costs_by_module"
AVG_TIME_COST_BY_TYPE = "avg_time_costs_by_type"
AVG_TIME_COST_BY_USER = "avg_time_costs_by_user"
AVG_TIME_COST_BY_MODEL = "avg_time_costs_by_model"
AVG_TIME_COST_BY_MODULE = "avg_time_costs_by_module"
STD_TIME_COST_BY_TYPE = "std_time_costs_by_type"
STD_TIME_COST_BY_USER = "std_time_costs_by_user"
STD_TIME_COST_BY_MODEL = "std_time_costs_by_model"
STD_TIME_COST_BY_MODULE = "std_time_costs_by_module"
class OnlineTimeRecordTask(AsyncTask):
@@ -428,7 +440,7 @@ class StatisticOutputTask(AsyncTask):
stats[period_key][TIME_COST_BY_MODULE][module_name].append(time_cost)
break
# 计算平均耗时和标准差
# 计算平均耗时和标准差
for period_key in stats:
for category in [REQ_CNT_BY_TYPE, REQ_CNT_BY_USER, REQ_CNT_BY_MODEL, REQ_CNT_BY_MODULE]:
time_cost_key = f"time_costs_by_{category.split('_')[-1]}"
@@ -452,7 +464,6 @@ class StatisticOutputTask(AsyncTask):
else:
stats[period_key][avg_key][item_name] = 0.0
stats[period_key][std_key][item_name] = 0.0
return stats
@staticmethod
@@ -687,7 +698,6 @@ class StatisticOutputTask(AsyncTask):
data_fmt = "{:<32} {:>10} {:>12} {:>12} {:>12} {:>9.4f}¥ {:>10} {:>10}"
output = [
"按模型分类统计:",
" 模型名称 调用次数 输入Token 输出Token Token总量 累计花费 平均耗时(秒) 标准差(秒)",
]
for model_name, count in sorted(stats[REQ_CNT_BY_MODEL].items()):
@@ -843,7 +853,7 @@ class StatisticOutputTask(AsyncTask):
<h2>按模型分类统计</h2>
<table>
<thead><tr><th>模名称</th><th>调用次数</th><th>输入Token</th><th>输出Token</th><th>Token总量</th><th>累计花费</th><th>平均耗时(秒)</th><th>标准差(秒)</th></tr></thead>
<tr><th>模名称</th><th>调用次数</th><th>输入Token</th><th>输出Token</th><th>Token总量</th><th>累计花费</th><th>平均耗时(秒)</th><th>标准差(秒)</th></tr>
<tbody>
{model_rows}
</tbody>

View File

@@ -30,6 +30,8 @@ def get_string_field(max_length=255, **kwargs):
else:
return Text(**kwargs)
class SessionProxy:
"""线程安全的Session代理类自动管理session生命周期"""
@@ -155,11 +157,14 @@ class LLMUsage(Base):
id = Column(Integer, primary_key=True, autoincrement=True)
model_name = Column(get_string_field(100), nullable=False, index=True)
model_assign_name = Column(get_string_field(100), index=True) # 添加索引
model_api_provider = Column(get_string_field(100), index=True) # 添加索引
user_id = Column(get_string_field(50), nullable=False, index=True)
request_type = Column(get_string_field(50), nullable=False, index=True)
endpoint = Column(Text, nullable=False)
prompt_tokens = Column(Integer, nullable=False)
completion_tokens = Column(Integer, nullable=False)
time_cost = Column(Float, nullable=True)
total_tokens = Column(Integer, nullable=False)
cost = Column(Float, nullable=False)
status = Column(Text, nullable=False)
@@ -167,6 +172,9 @@ class LLMUsage(Base):
__table_args__ = (
Index('idx_llmusage_model_name', 'model_name'),
Index('idx_llmusage_model_assign_name', 'model_assign_name'),
Index('idx_llmusage_model_api_provider', 'model_api_provider'),
Index('idx_llmusage_time_cost', 'time_cost'),
Index('idx_llmusage_user_id', 'user_id'),
Index('idx_llmusage_request_type', 'request_type'),
Index('idx_llmusage_timestamp', 'timestamp'),

View File

@@ -148,6 +148,7 @@ class LLMRequest:
model_info=model_info,
model_usage=usage,
user_id="system",
time_cost=time.time() - start_time,
request_type=self.request_type,
endpoint="/chat/completions",
time_cost=time.time() - start_time,
@@ -242,6 +243,7 @@ class LLMRequest:
) -> Tuple[str, Tuple[str, str, Optional[List[ToolCall]]]]:
"""执行单次请求"""
# 模型选择和请求准备
start_time = time.time()
model_info, api_provider, client = self._select_model()
processed_prompt = self._apply_content_obfuscation(prompt, api_provider)
@@ -295,6 +297,7 @@ class LLMRequest:
llm_usage_recorder.record_usage_to_database(
model_info=model_info,
model_usage=usage,
time_cost=time.time() - start_time,
user_id="system",
request_type=self.request_type,
endpoint="/chat/completions",
@@ -350,6 +353,7 @@ class LLMRequest:
if usage := response.usage:
llm_usage_recorder.record_usage_to_database(
model_info=model_info,
time_cost=time.time() - start_time,
model_usage=usage,
user_id="system",
request_type=self.request_type,