SETTLEMENT TELEMETRY

Inference Log

MID: guudf47M3k8mi2cU

Log MIDguudf47M3k8mi2cU
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
222 × 1.35 = 0.000300
0 × 0.045 = 0.000000
368 × 4.05 = 0.001490
CNY 0.001790
Vendor Cost
222 × 1.2 = 0.000266
0 × 0.04 = 0.000000
368 × 3.6 = 0.001325
CNY 0.001591
Latency5.81148495s
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):以及未来发展趋势、streaming response、从技术角度分析、如何度量与验证、token generation、并发控制、如何度量与验证、可观测性、load balancing、算法复杂度、streaming resp",
    "has_image": false,
    "has_tool_result": false
  },
  "assistant_summary": {
    "text": "在技术视角下,流式响应(streaming response)的优化需协同并发控制与负载均衡:通过令牌桶限制token generation速率,避免过载;采用缓存策略(如KV缓存)降低重复计算,同时精细管理内存(如显存池化)以减少GC压力。系统吞吐量(the system throughput)与",
    "tool_calls": [],
    "stop_reason": "stop"
  }
}
Stop Reasonstop
Token Usage
{
  "completion_tokens": 368,
  "completion_tokens_details": {
    "reasoning_tokens": 123
  },
  "prompt_tokens": 222,
  "prompt_tokens_details": {
    "cached_tokens": 0
  },
  "total_tokens": 590
}
Fixes
Created At9/9/2026, 2:32:30 PM