SETTLEMENT TELEMETRY

Inference Log

MID: guw1XabFUgDOiK5G

Log MIDguw1XabFUgDOiK5G
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
1015 × 12.15 = 0.0123
CNY 0.0132
Vendor Cost
224 × 3.6 = 0.000806
0 × 0.12 = 0.000000
1015 × 10.8 = 0.0110
CNY 0.0118
Latency21.52601696s
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,分布式人工智能推理系统在应对高并发时,需通过负载均衡与服务治理将请求分散到异构节点,否则简单轮询会拉大 latency distribution 的长尾。结合实际案例,某大模型推理网关对 token generation 采用 streaming response,并按节点排队深度做",
    "tool_calls": [],
    "stop_reason": "stop"
  }
}
Stop Reasonstop
Token Usage
{
  "completion_tokens": 1015,
  "completion_tokens_details": {
    "reasoning_tokens": 804
  },
  "prompt_tokens": 224,
  "prompt_tokens_details": {
    "cached_tokens": 0
  },
  "total_tokens": 1239
}
Fixes
Created At9/9/2026, 6:42:50 PM