SETTLEMENT TELEMETRY

Inference Log

MID: guoKpBzNaJESwM00

Log MIDguoKpBzNaJESwM00
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
281 × 4.05 = 0.001138
0 × 0.135 = 0.000000
2082 × 12.15 = 0.0253
CNY 0.0264
Vendor Cost
281 × 3.6 = 0.001012
0 × 0.12 = 0.000000
2082 × 10.8 = 0.0225
CNY 0.0235
Latency33.69658168s
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 300 tokens 的输入):云计算架构、潜在的风险点、机器学习、结合实际案例、latency distribution、cache strategy、结合实际案例、load balancing、可观测性、内存管理、人工智能、load balancing、需",
    "has_image": false,
    "has_tool_result": false
  },
  "assistant_summary": {
    "text": "从技术角度分析,云计算架构下的分布式系统需要在内存管理、并发控制与数据一致性之间做设计取舍。以某电商推荐系统为例,在生产环境中机器学习/人工智能推理服务引入 cache strategy 和 streaming response 来降低首字节延迟,但会改变 latency distribution,",
    "tool_calls": [],
    "stop_reason": "stop"
  }
}
Stop Reasonstop
Token Usage
{
  "completion_tokens": 2082,
  "completion_tokens_details": {
    "reasoning_tokens": 1786
  },
  "prompt_tokens": 281,
  "prompt_tokens_details": {
    "cached_tokens": 0
  },
  "total_tokens": 2363
}
Fixes
Created At9/8/2026, 7:33:14 PM