ALL TRANSACTIONS

guoOBFzE6Its6vWp

CONSUMP_PREPOST_GRANT

completed · 9/8/2026, 7:43:01 PM

Statuscompleted
Date9/8/2026, 7:43:01 PM
Usersamuel_wang@yeah.net
User AmountCNY 0.02807055
User BalancegudA6ExG30hklCQ2
Vendorvolcengine-bizplan-dtx
Vendor CostCNY -0.0249516
Vendor BalancegtMyXDjqOp6l8OSh
Aliasdeepseek-v4-pro-g3 / gucs9pv3TRoBtepN
Mode / Protoreq-v1-chatcmpl / openai-chatcmpl
Log MIDguoOBFuEhcwgPxfq
SETTLEMENT TELEMETRY

Inference Log

Log MIDguoOBFuEhcwgPxfq
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
274 × 4.05 = 0.001110
0 × 0.135 = 0.000000
2219 × 12.15 = 0.0270
CNY 0.0281
Vendor Cost
274 × 3.6 = 0.000986
0 × 0.12 = 0.000000
2219 × 10.8 = 0.0240
CNY 0.0250
Latency41.71484986s
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):cache strategy、算法复杂度、以及未来发展趋势、cache strategy、人工智能、服务治理、在生产环境中、从技术角度分析、token generation、服务治理、关键原理与影响、背后的设计取舍、latenc",
    "has_image": false,
    "has_tool_result": false
  },
  "assistant_summary": {
    "text": "从技术角度分析,在生产环境的 AI 服务治理中,**cache strategy** 是优化 **token generation** 延迟与 **the system throughput** 的关键手段。其关键原理与影响在于:把高成本推理结果复用,将模型前向计算转换为缓存检索,从而直接改变 **",
    "tool_calls": [],
    "stop_reason": "stop"
  }
}
Stop Reasonstop
Token Usage
{
  "completion_tokens": 2219,
  "completion_tokens_details": {
    "reasoning_tokens": 1776
  },
  "prompt_tokens": 274,
  "prompt_tokens_details": {
    "cached_tokens": 0
  },
  "total_tokens": 2493
}
Fixes
Created At9/8/2026, 7:43:01 PM