SETTLEMENT TELEMETRY

Inference Log

MID: guudfRdqmiUIyrNQ

Log MIDguudfRdqmiUIyrNQ
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
212 × 1.35 = 0.000286
0 × 0.045 = 0.000000
1787 × 4.05 = 0.007237
CNY 0.007524
Vendor Cost
212 × 1.2 = 0.000254
0 × 0.04 = 0.000000
1787 × 3.6 = 0.006433
CNY 0.006688
Latency17.58608813s
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):潜在的风险点、如何度量与验证、从技术角度分析、以及未来发展趋势、streaming response、并给出可落地的建议、数据一致性、背后的设计取舍、机器学习、从技术角度分析、并给出可落地的建议、从技术角度分析、碳中和、潜在的风",
    "has_image": false,
    "has_tool_result": false
  },
  "assistant_summary": {
    "text": "从技术角度分析,streaming response 中的 token generation 面临并发控制与数据一致性等潜在风险点。度量与验证可通过可观测性平台采集指标,监控算法复杂度、首字延迟及 system throughput,结合混沌工程验证边界。背后的设计取舍需分点阐述其中的权衡:一是为降",
    "tool_calls": [],
    "stop_reason": "stop"
  }
}
Stop Reasonstop
Token Usage
{
  "completion_tokens": 1787,
  "completion_tokens_details": {
    "reasoning_tokens": 1620
  },
  "prompt_tokens": 212,
  "prompt_tokens_details": {
    "cached_tokens": 0
  },
  "total_tokens": 1999
}
Fixes
Created At9/9/2026, 2:32:31 PM