SETTLEMENT TELEMETRY

Inference Log

MID: guueS3Idk74LtoCG

Log MIDguueS3Idk74LtoCG
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
215 × 4.05 = 0.000871
0 × 0.135 = 0.000000
2320 × 12.15 = 0.0282
CNY 0.0291
Vendor Cost
215 × 3.6 = 0.000774
0 × 0.12 = 0.000000
2320 × 10.8 = 0.0251
CNY 0.0258
Latency39.41225844s
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、结合实际案例、从技术角度分析、under high concurrency、token generation、可观测性、under high concurrency、请详细说明、以及未来发展趋势、结合实际案例、",
    "has_image": false,
    "has_tool_result": false
  },
  "assistant_summary": {
    "text": "从技术角度分析,在生产环境中分布式系统承载人工智能服务时,token generation 在 under high concurrency 下会直接影响 the system throughput,并带来 load balancing 与内存管理的潜在风险点。以某在线客服大模型为例,突发请求导致显",
    "tool_calls": [],
    "stop_reason": "stop"
  }
}
Stop Reasonstop
Token Usage
{
  "completion_tokens": 2320,
  "completion_tokens_details": {
    "reasoning_tokens": 2133
  },
  "prompt_tokens": 215,
  "prompt_tokens_details": {
    "cached_tokens": 0
  },
  "total_tokens": 2535
}
Fixes
Created At9/9/2026, 2:34:48 PM