ALL TRANSACTIONS
guudfoq3I8cSV5OZ
CONSUMP_PREPOST_GRANT
completed · 9/9/2026, 2:32:32 PM
Statuscompleted
Date9/9/2026, 2:32:32 PM
Usersamuel_wang@yeah.net
User AmountCNY 0.00576045
User BalancegudA6ExG30hklCQ2
Vendorvolcengine-bizplan-dtx
Vendor CostCNY -0.0051204
Vendor BalancegtMyXDjqOp6l8OSh
Aliasdeepseek-v4-flash-g3 / gucs9pn4RAHUO73l
Mode / Protoreq-v1-chatcmpl / openai-chatcmpl
Log MIDguudfomOOqFij2pq
SETTLEMENT TELEMETRY
Inference Log
Log MIDguudfomOOqFij2pq
Typechat_completion
Aliasdeepseek-v4-flash-g3 / gucs9pn4RAHUO73l
Hostinforaxi-server:3300:v1.1.4013-14-gbfebabe6d
Mode / Protoreq-v1-chatcmplopenai-chatcmpl
Vendor/LLMvolcengine-bizplan-dtx/deepseek-v4-flash-ga-260731
Statussuccess
User Pricing
217 × 1.35 = 0.000293
0 × 0.045 = 0.000000
1350 × 4.05 = 0.005468
CNY 0.005760
Vendor Cost
217 × 1.2 = 0.000260
0 × 0.04 = 0.000000
1350 × 3.6 = 0.004860
CNY 0.005120
Latency15.43490551s
Summary
{
"system_prefix": null,
"history_count": 1,
"user_summary": {
"text": "请围绕下面的关键词写一段连贯的分析(约 200 tokens 的输入):关键原理与影响、内存管理、人工智能、latency distribution、分布式系统、结合实际案例、load balancing、潜在的风险点、cache strategy、关键原理与影响、streaming respons",
"has_image": false,
"has_tool_result": false
},
"assistant_summary": {
"text": "在人工智能驱动的大型云计算架构与分布式系统中,内存管理和 cache strategy 是关键原理与影响。生产环境里,load balancing 若不感知实际排队,会恶化 latency distribution,拖累 the system throughput;streaming respons",
"tool_calls": [],
"stop_reason": "stop"
}
}Stop Reasonstop
Token Usage
{
"completion_tokens": 1350,
"completion_tokens_details": {
"reasoning_tokens": 1176
},
"prompt_tokens": 217,
"prompt_tokens_details": {
"cached_tokens": 0
},
"total_tokens": 1567
}Fixes
Created At9/9/2026, 2:32:32 PM
TRANSACTION DETAILS