ALL TRANSACTIONS

guoJF0U3ptB8gXUX

CONSUMP_PREPOST_GRANT

completed · 9/8/2026, 7:28:37 PM

Statuscompleted
Date9/8/2026, 7:28:37 PM
Usersamuel_wang@yeah.net
User AmountCNY 0.02443365
User BalancegudA6ExG30hklCQ2
Vendorvolcengine-bizplan-dtx
Vendor CostCNY -0.0217188
Vendor BalancegtMyXDjqOp6l8OSh
Aliasdeepseek-v4-pro-g3 / gucs9pv3TRoBtepN
Mode / Protoreq-v1-chatcmpl / openai-chatcmpl
Log MIDguoJF0R4CHbcrxZw
SETTLEMENT TELEMETRY

Inference Log

Log MIDguoJF0R4CHbcrxZw
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
288 × 4.05 = 0.001166
0 × 0.135 = 0.000000
1915 × 12.15 = 0.0233
CNY 0.0244
Vendor Cost
288 × 3.6 = 0.001037
0 × 0.12 = 0.000000
1915 × 10.8 = 0.0207
CNY 0.0217
Latency36.03824621s
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):以及未来发展趋势、load balancing、under high concurrency、under high concurrency、从技术角度分析、并给出可落地的建议、the system throughput、请详细说",
    "has_image": false,
    "has_tool_result": false
  },
  "assistant_summary": {
    "text": "在高并发生产环境中,系统吞吐与延迟分布是服务治理与性能优化的核心指标。从技术角度分析,需要在负载均衡、缓存策略、并发控制与数据一致性之间做设计取舍。\n\n**1. 负载均衡与服务治理**  \n高并发下可采用 L4/L7 分层负载均衡,结合动态权重、一致性哈希与健康检查,避免热点倾斜。实际案例中,NGI",
    "tool_calls": [],
    "stop_reason": "stop"
  }
}
Stop Reasonstop
Token Usage
{
  "completion_tokens": 1915,
  "completion_tokens_details": {
    "reasoning_tokens": 1500
  },
  "prompt_tokens": 288,
  "prompt_tokens_details": {
    "cached_tokens": 0
  },
  "total_tokens": 2203
}
Fixes
Created At9/8/2026, 7:28:37 PM