SETTLEMENT TELEMETRY

Inference Log

MID: guudSMm05XJJtqHS

Log MIDguudSMm05XJJtqHS
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
217 × 1.35 = 0.000293
0 × 0.045 = 0.000000
446 × 4.05 = 0.001806
CNY 0.002099
Vendor Cost
217 × 1.2 = 0.000260
0 × 0.04 = 0.000000
446 × 3.6 = 0.001606
CNY 0.001866
Latency5.98689804s
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、从技术角度分析、the system throughput、内存管理、服务治理、机器学习、人工智能、碳中和、潜在的风险点、结合实际案例、从技术角度分析、碳中和、可观测性、服务治理、从技术角度分析、性能优化、需要考虑的",
    "has_image": false,
    "has_tool_result": false
  },
  "assistant_summary": {
    "text": "在云计算架构下,分布式系统的核心目标是最大化系统吞吐量,但需权衡内存管理与算法复杂度。负载均衡策略直接影响吞吐量,而流式响应可降低首包延迟,却对内存管理提出更高要求。服务治理与可观测性(如链路追踪)是保障稳定性的基石,但过度治理会引入性能开销。数据一致性(如CAP权衡)是潜在风险点,实际案例中,电商",
    "tool_calls": [],
    "stop_reason": "stop"
  }
}
Stop Reasonstop
Token Usage
{
  "completion_tokens": 446,
  "completion_tokens_details": {
    "reasoning_tokens": 286
  },
  "prompt_tokens": 217,
  "prompt_tokens_details": {
    "cached_tokens": 0
  },
  "total_tokens": 663
}
Fixes
Created At9/9/2026, 2:31:54 PM