SETTLEMENT TELEMETRY

Inference Log

MID: guudg7QoES91a5kC

Log MIDguudg7QoES91a5kC
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
221 × 1.35 = 0.000298
0 × 0.045 = 0.000000
335 × 4.05 = 0.001357
CNY 0.001655
Vendor Cost
221 × 1.2 = 0.000265
0 × 0.04 = 0.000000
335 × 3.6 = 0.001206
CNY 0.001471
Latency5.02880768s
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):load balancing、潜在的风险点、streaming response、load balancing、背后的设计取舍、the system throughput、latency distribution、算法复杂度、服",
    "has_image": false,
    "has_tool_result": false
  },
  "assistant_summary": {
    "text": "在高并发场景下,流式响应(streaming response)的负载均衡(load balancing)设计需权衡系统吞吐(the system throughput)与延迟分布(latency distribution)。其潜在风险点在于:长连接占用导致节点热点,且token生成(token g",
    "tool_calls": [],
    "stop_reason": "length"
  }
}
Stop Reasonlength
Token Usage
{
  "completion_tokens": 335,
  "completion_tokens_details": {
    "reasoning_tokens": 78
  },
  "prompt_tokens": 221,
  "prompt_tokens_details": {
    "cached_tokens": 0
  },
  "total_tokens": 556
}
Fixes
Created At9/9/2026, 2:32:33 PM