SETTLEMENT TELEMETRY

Inference Log

MID: guw0lo0dGDfD0Y9O

Log MIDguw0lo0dGDfD0Y9O
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
219 × 1.35 = 0.000296
0 × 0.045 = 0.000000
386 × 4.05 = 0.001563
CNY 0.001859
Vendor Cost
219 × 1.2 = 0.000263
0 × 0.04 = 0.000000
386 × 3.6 = 0.001390
CNY 0.001652
Latency4.88420031s
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):人工智能、潜在的风险点、load balancing、token generation、潜在的风险点、分布式系统、以及未来发展趋势、性能优化、算法复杂度、结合实际案例、潜在的风险点、请详细说明、性能优化、cache strate",
    "has_image": false,
    "has_tool_result": false
  },
  "assistant_summary": {
    "text": "在人工智能推理系统中,**token generation** 的**性能优化**需结合**分布式系统**与**load balancing**,以应对高并发下的**latency distribution**。核心原理是:生成是串行的,**算法复杂度**直接影响首字延迟,**cache strat",
    "tool_calls": [],
    "stop_reason": "stop"
  }
}
Stop Reasonstop
Token Usage
{
  "completion_tokens": 386,
  "completion_tokens_details": {
    "reasoning_tokens": 170
  },
  "prompt_tokens": 219,
  "prompt_tokens_details": {
    "cached_tokens": 0
  },
  "total_tokens": 605
}
Fixes
Created At9/9/2026, 6:40:35 PM