ALL TRANSACTIONS
guoO7OmPq23yWVnd
CONSUMP_PREPOST_GRANT
completed · 9/8/2026, 7:42:50 PM
Statuscompleted
Date9/8/2026, 7:42:50 PM
Usersamuel_wang@yeah.net
User AmountCNY 0.03077595
User BalancegudA6ExG30hklCQ2
Vendorvolcengine-bizplan-dtx
Vendor CostCNY -0.0273564
Vendor BalancegtMyXDjqOp6l8OSh
Aliasdeepseek-v4-pro-g3 / gucs9pv3TRoBtepN
Mode / Protoreq-v1-chatcmpl / openai-chatcmpl
Log MIDguoO7OgQYouwtLyS
SETTLEMENT TELEMETRY
Inference Log
Log MIDguoO7OgQYouwtLyS
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
288 × 4.05 = 0.001166
0 × 0.135 = 0.000000
2437 × 12.15 = 0.0296
CNY 0.0308
Vendor Cost
288 × 3.6 = 0.001037
0 × 0.12 = 0.000000
2437 × 10.8 = 0.0263
CNY 0.0274
Latency45.43050643s
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 300 tokens 的输入):碳中和、under high concurrency、服务治理、并给出可落地的建议、内存管理、latency distribution、cache strategy、在生产环境中、load balancing、潜在的风险点、st",
"has_image": false,
"has_tool_result": false
},
"assistant_summary": {
"text": "在碳中和目标下,生产环境中部署人工智能/机器学习生成服务时,**under high concurrency** 会同时放大服务治理、性能优化与能耗压力。以下结合实际案例分点分析,并给出可落地建议。\n\n**1. 服务治理与负载均衡** \n分布式系统中,**load balancing** 应同时考",
"tool_calls": [],
"stop_reason": "stop"
}
}Stop Reasonstop
Token Usage
{
"completion_tokens": 2437,
"completion_tokens_details": {
"reasoning_tokens": 1999
},
"prompt_tokens": 288,
"prompt_tokens_details": {
"cached_tokens": 0
},
"total_tokens": 2725
}Fixes
Created At9/8/2026, 7:42:50 PM
TRANSACTION DETAILS