SETTLEMENT TELEMETRY

Inference Log

MID: guudSMeLg6BEN1pK

Log MIDguudSMeLg6BEN1pK
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
216 × 1.35 = 0.000292
0 × 0.045 = 0.000000
879 × 4.05 = 0.003560
CNY 0.003852
Vendor Cost
216 × 1.2 = 0.000259
0 × 0.04 = 0.000000
879 × 3.6 = 0.003164
CNY 0.003424
Latency10.99727076s
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):token generation、分点阐述其中的、分点阐述其中的、在生产环境中、数据一致性、分点阐述其中的、碳中和、并发控制、关键原理与影响、关键原理与影响、内存管理、并给出可落地的建议、分布式系统、内存管理、结合实际案例、碳中",
    "has_image": false,
    "has_tool_result": false
  },
  "assistant_summary": {
    "text": "围绕 token generation,生产环境中需平衡三大关键原理与影响:  \n1. **并发控制**:锁粒度与数据一致性直接相关——粗锁简化实现但降低吞吐,细锁提升性能却增加算法复杂度。  \n2. **内存管理**:缓存复用与 GC 策略影响 latency distribution 的尾延迟,",
    "tool_calls": [],
    "stop_reason": "stop"
  }
}
Stop Reasonstop
Token Usage
{
  "completion_tokens": 879,
  "completion_tokens_details": {
    "reasoning_tokens": 676
  },
  "prompt_tokens": 216,
  "prompt_tokens_details": {
    "cached_tokens": 0
  },
  "total_tokens": 1095
}
Fixes
Created At9/9/2026, 2:31:54 PM