SETTLEMENT TELEMETRY

Inference Log

MID: guw1Be62HmHw7Z9s

Log MIDguw1Be62HmHw7Z9s
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
209 × 4.05 = 0.000846
0 × 0.135 = 0.000000
1302 × 12.15 = 0.0158
CNY 0.0167
Vendor Cost
209 × 3.6 = 0.000752
0 × 0.12 = 0.000000
1302 × 10.8 = 0.0141
CNY 0.0148
Latency21.27552337s
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):结合实际案例、under high concurrency、云计算架构、背后的设计取舍、cache strategy、人工智能、背后的设计取舍、如何度量与验证、从技术角度分析、潜在的风险点、cache strategy、潜在的风",
    "has_image": false,
    "has_tool_result": false
  },
  "assistant_summary": {
    "text": "以电商大促推荐为例,高并发下基于云计算架构部署分布式系统,采用CDN、Redis与本地缓存的多级缓存策略,并让机器学习模型离线或近线生成推荐结果后写入缓存。设计取舍是以弱一致换取系统吞吐量(the system throughput);通过版本号与TTL控制数据一致性,用分布式锁、令牌桶和乐观锁做并",
    "tool_calls": [],
    "stop_reason": "stop"
  }
}
Stop Reasonstop
Token Usage
{
  "completion_tokens": 1302,
  "completion_tokens_details": {
    "reasoning_tokens": 1111
  },
  "prompt_tokens": 209,
  "prompt_tokens_details": {
    "cached_tokens": 0
  },
  "total_tokens": 1511
}
Fixes
Created At9/9/2026, 6:41:48 PM