SETTLEMENT TELEMETRY

Inference Log

MID: guue9vMDuqGmz4S5

Log MIDguue9vMDuqGmz4S5
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
224 × 4.05 = 0.000907
0 × 0.135 = 0.000000
1156 × 12.15 = 0.0140
CNY 0.0150
Vendor Cost
224 × 3.6 = 0.000806
0 × 0.12 = 0.000000
1156 × 10.8 = 0.0125
CNY 0.0133
Latency24.64136307s
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):从技术角度分析、load balancing、请举例说明、latency distribution、结合实际案例、分布式系统、并给出可落地的建议、latency distribution、the system throughpu",
    "has_image": false,
    "has_tool_result": false
  },
  "assistant_summary": {
    "text": "从技术角度分析,分布式AI服务在高并发下需用负载均衡与并发控制保障系统吞吐。例如某LLM推理集群采用最少连接负载均衡,但流式响应与token generation使长连接占住节点,latency distribution的P99尾延迟恶化。结合实际案例,可引入基于GPU队列深度与预估输出长度的加权负",
    "tool_calls": [],
    "stop_reason": "stop"
  }
}
Stop Reasonstop
Token Usage
{
  "completion_tokens": 1156,
  "completion_tokens_details": {
    "reasoning_tokens": 964
  },
  "prompt_tokens": 224,
  "prompt_tokens_details": {
    "cached_tokens": 0
  },
  "total_tokens": 1380
}
Fixes
Created At9/9/2026, 2:33:57 PM