SETTLEMENT TELEMETRY

Inference Log

MID: guudozwjUlzxjigM

Log MIDguudozwjUlzxjigM
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
214 × 4.05 = 0.000867
0 × 0.135 = 0.000000
1353 × 12.15 = 0.0164
CNY 0.0173
Vendor Cost
214 × 3.6 = 0.000770
0 × 0.12 = 0.000000
1353 × 10.8 = 0.0146
CNY 0.0154
Latency28.72659120s
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):分布式系统、需要考虑的权衡、性能优化、以及未来发展趋势、潜在的风险点、人工智能、请详细说明、并发控制、以及未来发展趋势、分布式系统、streaming response、token generation、算法复杂度、机器学习、云",
    "has_image": false,
    "has_tool_result": false
  },
  "assistant_summary": {
    "text": "在分布式系统中,性能优化需要在并发控制、内存管理与系统吞吐(the system throughput)之间精细权衡。以人工智能大模型的 streaming response 为例,token generation 是逐 token 输出,生产环境中 under high concurrency 时",
    "tool_calls": [],
    "stop_reason": "stop"
  }
}
Stop Reasonstop
Token Usage
{
  "completion_tokens": 1353,
  "completion_tokens_details": {
    "reasoning_tokens": 1161
  },
  "prompt_tokens": 214,
  "prompt_tokens_details": {
    "cached_tokens": 0
  },
  "total_tokens": 1567
}
Fixes
Created At9/9/2026, 2:32:58 PM