SETTLEMENT TELEMETRY

Inference Log

MID: guw0hYM6VcCQfZzM

Log MIDguw0hYM6VcCQfZzM
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
215 × 1.35 = 0.000290
0 × 0.045 = 0.000000
399 × 4.05 = 0.001616
CNY 0.001906
Vendor Cost
215 × 1.2 = 0.000258
0 × 0.04 = 0.000000
399 × 3.6 = 0.001436
CNY 0.001694
Latency5.90441029s
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):以及未来发展趋势、以及未来发展趋势、背后的设计取舍、算法复杂度、请详细说明、分布式系统、the system throughput、streaming response、分布式系统、under high concurrency、",
    "has_image": false,
    "has_tool_result": false
  },
  "assistant_summary": {
    "text": "在构建面向人工智能流式响应的分布式系统中,核心目标是提升高并发下的系统吞吐量并优化延迟分布。其技术栈涉及云计算架构与内存管理,需重点考量**token generation**的流式传输特性。设计取舍上,常采用**cache strategy**(如KV缓存)以降低重复计算,但缓存引入数据一致性挑战",
    "tool_calls": [],
    "stop_reason": "stop"
  }
}
Stop Reasonstop
Token Usage
{
  "completion_tokens": 399,
  "completion_tokens_details": {
    "reasoning_tokens": 166
  },
  "prompt_tokens": 215,
  "prompt_tokens_details": {
    "cached_tokens": 0
  },
  "total_tokens": 614
}
Fixes
Created At9/9/2026, 6:40:23 PM