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guudSMkfa9iryuyq

CONSUMP_PREPOST_GRANT

completed · 9/9/2026, 2:31:54 PM

Statuscompleted
Date9/9/2026, 2:31:54 PM
Usersamuel_wang@yeah.net
User AmountCNY 0.0050598
User BalancegudA6ExG30hklCQ2
Vendorvolcengine-bizplan-dtx
Vendor CostCNY -0.0044976
Vendor BalancegtMyXDjqOp6l8OSh
Aliasdeepseek-v4-flash-g3 / gucs9pn4RAHUO73l
Mode / Protoreq-v1-chatcmpl / openai-chatcmpl
Log MIDguudSMgg40xWE95t
SETTLEMENT TELEMETRY

Inference Log

Log MIDguudSMgg40xWE95t
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
214 × 1.35 = 0.000289
0 × 0.045 = 0.000000
1178 × 4.05 = 0.004771
CNY 0.005060
Vendor Cost
214 × 1.2 = 0.000257
0 × 0.04 = 0.000000
1178 × 3.6 = 0.004241
CNY 0.004498
Latency12.70688279s
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):请详细说明、streaming response、机器学习、算法复杂度、数据一致性、请举例说明、潜在的风险点、请详细说明、分布式系统、关键原理与影响、云计算架构、结合实际案例、cache strategy、云计算架构、潜在的风险",
    "has_image": false,
    "has_tool_result": false
  },
  "assistant_summary": {
    "text": "从技术角度分析,分布式系统与云计算架构中,streaming response(如SSE/WebSocket)能显著降低首字节延迟,但需关注背压与内存管理;例如实时推荐场景,AI/机器学习模型预测用户兴趣后流式推送。Cache strategy(如Redis多级缓存)可缓解热点,但需权衡数据一致性与",
    "tool_calls": [],
    "stop_reason": "stop"
  }
}
Stop Reasonstop
Token Usage
{
  "completion_tokens": 1178,
  "completion_tokens_details": {
    "reasoning_tokens": 999
  },
  "prompt_tokens": 214,
  "prompt_tokens_details": {
    "cached_tokens": 0
  },
  "total_tokens": 1392
}
Fixes
Created At9/9/2026, 2:31:54 PM