ALL TRANSACTIONS

guuuw2ENFMOgrInd

CONSUMP_PREPOST_GRANT

completed · 9/9/2026, 3:22:51 PM

Statuscompleted
Date9/9/2026, 3:22:51 PM
Usersamuel_wang@yeah.net
User AmountCNY 0.01595295
User BalancegudA6ExG30hklCQ2
Vendorvolcengine-bizplan-dtx
Vendor CostCNY -0.0141804
Vendor BalancegtMyXDjqOp6l8OSh
Aliasdeepseek-v4-pro-g3 / gucs9pv3TRoBtepN
Mode / Protoreq-v1-chatcmpl / openai-chatcmpl
Log MIDguuuw2A36NEj7nam
SETTLEMENT TELEMETRY

Inference Log

Log MIDguuuw2A36NEj7nam
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
156 × 4.05 = 0.000632
0 × 0.135 = 0.000000
1261 × 12.15 = 0.0153
CNY 0.0160
Vendor Cost
156 × 3.6 = 0.000562
0 × 0.12 = 0.000000
1261 × 10.8 = 0.0136
CNY 0.0142
Latency21.87881927s
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 100 tokens 的输入):请详细说明、碳中和、结合实际案例、请举例说明、the system throughput、under high concurrency、分点阐述其中的、请举例说明、关键原理与影响、背后的设计取舍、请详细说明、潜在的风险点、内存管",
    "has_image": false,
    "has_tool_result": false
  },
  "assistant_summary": {
    "text": "从技术角度分析,碳中和监测平台 under high concurrency 下,the system throughput 与内存管理密切相关。结合实际案例,如某碳排数据网关,请详细说明:分点阐述其中的关键原理与影响——高并发上报易触发频繁 GC 降低吞吐;内存池复用缓冲可减少分配开销。背后的设计",
    "tool_calls": [],
    "stop_reason": "stop"
  }
}
Stop Reasonstop
Token Usage
{
  "completion_tokens": 1261,
  "completion_tokens_details": {
    "reasoning_tokens": 1161
  },
  "prompt_tokens": 156,
  "prompt_tokens_details": {
    "cached_tokens": 0
  },
  "total_tokens": 1417
}
Fixes
Created At9/9/2026, 3:22:51 PM