ALL TRANSACTIONS

guw1WvgWAhGWmFTB

CONSUMP_PREPOST_GRANT

completed · 9/9/2026, 6:42:48 PM

Statuscompleted
Date9/9/2026, 6:42:48 PM
Usersamuel_wang@yeah.net
User AmountCNY 0.01887705
User BalancegudA6ExG30hklCQ2
Vendorvolcengine-bizplan-dtx
Vendor CostCNY -0.0167796
Vendor BalancegtMyXDjqOp6l8OSh
Aliasdeepseek-v4-pro-g3 / gucs9pv3TRoBtepN
Mode / Protoreq-v1-chatcmpl / openai-chatcmpl
Log MIDguw1WvZrdnKHBczs
SETTLEMENT TELEMETRY

Inference Log

Log MIDguw1WvZrdnKHBczs
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
1481 × 12.15 = 0.0180
CNY 0.0189
Vendor Cost
218 × 3.6 = 0.000785
0 × 0.12 = 0.000000
1481 × 10.8 = 0.0160
CNY 0.0168
Latency31.66704458s
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):并发控制、背后的设计取舍、分点阐述其中的、分布式系统、背后的设计取舍、结合实际案例、需要考虑的权衡、请详细说明、under high concurrency、请举例说明、the system throughput、机器学习、st",
    "has_image": false,
    "has_tool_result": false
  },
  "assistant_summary": {
    "text": "在分布式系统的高并发(under high concurrency)场景下,并发控制与数据一致性是核心设计取舍。以秒杀系统为例,采用“Redis 缓存策略 + 异步落库”可显著提升系统吞吐(the system throughput),但可能引入超卖风险;引入分布式锁或 Lua 脚本串行扣减,背后的",
    "tool_calls": [],
    "stop_reason": "length"
  }
}
Stop Reasonlength
Token Usage
{
  "completion_tokens": 1481,
  "completion_tokens_details": {
    "reasoning_tokens": 1224
  },
  "prompt_tokens": 218,
  "prompt_tokens_details": {
    "cached_tokens": 0
  },
  "total_tokens": 1699
}
Fixes
Created At9/9/2026, 6:42:48 PM