SETTLEMENT TELEMETRY

Inference Log

MID: guoO2kjUrXwREIU0

Log MIDguoO2kjUrXwREIU0
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
276 × 4.05 = 0.001118
0 × 0.135 = 0.000000
2741 × 12.15 = 0.0333
CNY 0.0344
Vendor Cost
276 × 3.6 = 0.000994
0 × 0.12 = 0.000000
2741 × 10.8 = 0.0296
CNY 0.0306
Latency48.59828147s
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 300 tokens 的输入):分点阐述其中的、算法复杂度、以及未来发展趋势、token generation、可观测性、背后的设计取舍、token generation、streaming response、以及未来发展趋势、the system throu",
    "has_image": false,
    "has_tool_result": false
  },
  "assistant_summary": {
    "text": "从技术角度分析,在生产环境中的分布式系统与云计算架构下,人工智能/机器学习推理服务的核心路径是 token generation 与 streaming response。分点阐述其中的关键原理与影响:算法复杂度直接决定 the system throughput 与 latency distrib",
    "tool_calls": [],
    "stop_reason": "stop"
  }
}
Stop Reasonstop
Token Usage
{
  "completion_tokens": 2741,
  "completion_tokens_details": {
    "reasoning_tokens": 2478
  },
  "prompt_tokens": 276,
  "prompt_tokens_details": {
    "cached_tokens": 0
  },
  "total_tokens": 3017
}
Fixes
Created At9/8/2026, 7:42:37 PM