Log MIDguw0ph3DnWGbayYm
Tx MIDguw0ph6DR7q7PYTN
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
222 × 1.35 = 0.000300
0 × 0.045 = 0.000000
384 × 4.05 = 0.001555
CNY 0.001855
Vendor Cost
222 × 1.2 = 0.000266
0 × 0.04 = 0.000000
384 × 3.6 = 0.001382
CNY 0.001649
Latency5.60706058s
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):以及未来发展趋势、streaming response、从技术角度分析、如何度量与验证、token generation、并发控制、如何度量与验证、可观测性、load balancing、算法复杂度、streaming resp",
"has_image": false,
"has_tool_result": false
},
"assistant_summary": {
"text": "在生成式 AI 服务中,**streaming response** 已成为核心范式,其关键在于将 **token generation** 视为流式管道而非离散请求。从技术角度,需平衡**算法复杂度**(如注意力机制计算)与**系统吞吐**,在高并发下对生成队列实施**并发控制**,防止资源耗尽。",
"tool_calls": [],
"stop_reason": "stop"
}
}Stop Reasonstop
Token Usage
{
"completion_tokens": 384,
"completion_tokens_details": {
"reasoning_tokens": 129
},
"prompt_tokens": 222,
"prompt_tokens_details": {
"cached_tokens": 0
},
"total_tokens": 606
}Fixes
Created At9/9/2026, 6:40:46 PM