SETTLEMENT TELEMETRY

Inference Log

MID: guudozu4U0p3ts5o

Log MIDguudozu4U0p3ts5o
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
218 × 4.05 = 0.000883
0 × 0.135 = 0.000000
2024 × 12.15 = 0.0246
CNY 0.0255
Vendor Cost
218 × 3.6 = 0.000785
0 × 0.12 = 0.000000
2024 × 10.8 = 0.0219
CNY 0.0226
Latency42.30682500s
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、如何度量与验证、需要考虑的权衡、需要考虑的权衡、streaming response、背后的设计取舍、cache strategy、可观测性、请举例说明、潜在的风险点、如何度量与验证、从技术角度",
    "has_image": false,
    "has_tool_result": false
  },
  "assistant_summary": {
    "text": "在 AI 推理的云计算架构中,token generation 常以 streaming response 返回,以降低首字延迟;度量与验证可关注 TTFT、tokens/s、缓存命中率与截断率。设计取舍在于:流式提升交互体验,但增加连接管理、背压与并发控制成本;cache strategy 如前缀",
    "tool_calls": [],
    "stop_reason": "stop"
  }
}
Stop Reasonstop
Token Usage
{
  "completion_tokens": 2024,
  "completion_tokens_details": {
    "reasoning_tokens": 1821
  },
  "prompt_tokens": 218,
  "prompt_tokens_details": {
    "cached_tokens": 0
  },
  "total_tokens": 2242
}
Fixes
Created At9/9/2026, 2:32:58 PM