ALL TRANSACTIONS
guudp00j0ulJUUZK
CONSUMP_PREPOST_GRANT
completed · 9/9/2026, 2:32:58 PM
Statuscompleted
Date9/9/2026, 2:32:58 PM
Usersamuel_wang@yeah.net
User AmountCNY 0.01730565
User BalancegudA6ExG30hklCQ2
Vendorvolcengine-bizplan-dtx
Vendor CostCNY -0.0153828
Vendor BalancegtMyXDjqOp6l8OSh
Aliasdeepseek-v4-pro-g3 / gucs9pv3TRoBtepN
Mode / Protoreq-v1-chatcmpl / openai-chatcmpl
Log MIDguudozwjUlzxjigM
SETTLEMENT TELEMETRY
Inference Log
Log MIDguudozwjUlzxjigM
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
214 × 4.05 = 0.000867
0 × 0.135 = 0.000000
1353 × 12.15 = 0.0164
CNY 0.0173
Vendor Cost
214 × 3.6 = 0.000770
0 × 0.12 = 0.000000
1353 × 10.8 = 0.0146
CNY 0.0154
Latency28.72659120s
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、需要考虑的权衡、性能优化、以及未来发展趋势、潜在的风险点、人工智能、请详细说明、并发控制、以及未来发展趋势、分布式系统、streaming response、token generation、算法复杂度、机器学习、云",
"has_image": false,
"has_tool_result": false
},
"assistant_summary": {
"text": "在分布式系统中,性能优化需要在并发控制、内存管理与系统吞吐(the system throughput)之间精细权衡。以人工智能大模型的 streaming response 为例,token generation 是逐 token 输出,生产环境中 under high concurrency 时",
"tool_calls": [],
"stop_reason": "stop"
}
}Stop Reasonstop
Token Usage
{
"completion_tokens": 1353,
"completion_tokens_details": {
"reasoning_tokens": 1161
},
"prompt_tokens": 214,
"prompt_tokens_details": {
"cached_tokens": 0
},
"total_tokens": 1567
}Fixes
Created At9/9/2026, 2:32:58 PM
TRANSACTION DETAILS