ALL TRANSACTIONS
guudp013dl9vTDtP
CONSUMP_PREPOST_GRANT
completed · 9/9/2026, 2:32:58 PM
Statuscompleted
Date9/9/2026, 2:32:58 PM
Usersamuel_wang@yeah.net
User AmountCNY 0.0205173
User BalancegudA6ExG30hklCQ2
Vendorvolcengine-bizplan-dtx
Vendor CostCNY -0.0182376
Vendor BalancegtMyXDjqOp6l8OSh
Aliasdeepseek-v4-pro-g3 / gucs9pv3TRoBtepN
Mode / Protoreq-v1-chatcmpl / openai-chatcmpl
Log MIDguudozxjNJBnfueZ
SETTLEMENT TELEMETRY
Inference Log
Log MIDguudozxjNJBnfueZ
Typechat_completion
Aliasdeepseek-v4-pro-g3 / gucs9pv3TRoBtepN
Hostinforaxi-server:3300:v1.1.4013-14-gbfebabe6d
Mode / Protoreq-v1-chatcmplopenai-chatcmpl
Vendor/LLMvolcengine-bizplan-dtx/deepseek-v4-pro-ga-260813
Statussuccess
User Pricing
218 × 4.05 = 0.000883
0 × 0.135 = 0.000000
1616 × 12.15 = 0.0196
CNY 0.0205
Vendor Cost
218 × 3.6 = 0.000785
0 × 0.12 = 0.000000
1616 × 10.8 = 0.0175
CNY 0.0182
Latency32.99787508s
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):结合实际案例、碳中和、token generation、并发控制、从技术角度分析、load balancing、可观测性、token generation、分布式系统、需要考虑的权衡、背后的设计取舍、分点阐述其中的、请详细说明、",
"has_image": false,
"has_tool_result": false
},
"assistant_summary": {
"text": "以AI推理服务(token generation)为例,从技术角度分析分布式系统设计取舍。实际案例:某LLM在线客服晚高峰GPU OOM、P99 token延迟升高。关键原理与影响:token generation的KV cache加剧内存管理压力,并发控制需在system throughput与显",
"tool_calls": [],
"stop_reason": "stop"
}
}Stop Reasonstop
Token Usage
{
"completion_tokens": 1616,
"completion_tokens_details": {
"reasoning_tokens": 1408
},
"prompt_tokens": 218,
"prompt_tokens_details": {
"cached_tokens": 0
},
"total_tokens": 1834
}Fixes
Created At9/9/2026, 2:32:58 PM
TRANSACTION DETAILS