ALL TRANSACTIONS
guw0g3PJgZlRCkCR
CONSUMP_PREPOST_GRANT
completed · 9/9/2026, 6:40:19 PM
Statuscompleted
Date9/9/2026, 6:40:19 PM
Usersamuel_wang@yeah.net
User AmountCNY 0.00396225
User BalancegudA6ExG30hklCQ2
Vendorvolcengine-bizplan-dtx
Vendor CostCNY -0.003522
Vendor BalancegtMyXDjqOp6l8OSh
Aliasdeepseek-v4-flash-g3 / gucs9pn4RAHUO73l
Mode / Protoreq-v1-chatcmpl / openai-chatcmpl
Log MIDguw0fmgKmMO308TI
SETTLEMENT TELEMETRY
Inference Log
Log MIDguw0fmgKmMO308TI
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
214 × 1.35 = 0.000289
0 × 0.045 = 0.000000
907 × 4.05 = 0.003673
CNY 0.003962
Vendor Cost
214 × 1.2 = 0.000257
0 × 0.04 = 0.000000
907 × 3.6 = 0.003265
CNY 0.003522
Latency9.10133116s
Summary
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"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、背后的设计取舍、分布式系统、以及未来发展趋势、碳中和、under high concurrency、cache strategy、性能优化、关键原理与影响、结合实际案例、服务治理、under high concur",
"has_image": false,
"has_tool_result": false
},
"assistant_summary": {
"text": "在实际案例(如电商秒杀)中,分布式系统在 under high concurrency 下压力巨大,核心挑战集中于 cache strategy 与数据一致性的权衡。缓存能降低读延迟、提升 the system throughput,但写后异步更新可能产生临时不一致,这是典型的设计取舍,其关键原理与",
"tool_calls": [],
"stop_reason": "stop"
}
}Stop Reasonstop
Token Usage
{
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"completion_tokens_details": {
"reasoning_tokens": 724
},
"prompt_tokens": 214,
"prompt_tokens_details": {
"cached_tokens": 0
},
"total_tokens": 1121
}Fixes
Created At9/9/2026, 6:40:18 PM
TRANSACTION DETAILS