Log MIDguw1FwUEZOD81ML6
Tx MIDguw1FwZDy4AJiKC5
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
212 × 4.05 = 0.000859
0 × 0.135 = 0.000000
1822 × 12.15 = 0.0221
CNY 0.0230
Vendor Cost
212 × 3.6 = 0.000763
0 × 0.12 = 0.000000
1822 × 10.8 = 0.0197
CNY 0.0204
Latency28.98343774s
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):机器学习、人工智能、潜在的风险点、latency distribution、算法复杂度、人工智能、云计算架构、并给出可落地的建议、分点阐述其中的、以及未来发展趋势、请举例说明、背后的设计取舍、在生产环境中、人工智能、请详细说明、",
"has_image": false,
"has_tool_result": false
},
"assistant_summary": {
"text": "在机器学习/人工智能部署到云计算架构时,算法复杂度会直接影响 latency distribution;under high concurrency 下,潜在风险点集中在排队阻塞、GPU 争用和长尾延迟。生产环境中常见设计取舍是采用 streaming response 降低首包延迟,但这会提高并发",
"tool_calls": [],
"stop_reason": "stop"
}
}Stop Reasonstop
Token Usage
{
"completion_tokens": 1822,
"completion_tokens_details": {
"reasoning_tokens": 1571
},
"prompt_tokens": 212,
"prompt_tokens_details": {
"cached_tokens": 0
},
"total_tokens": 2034
}Fixes
Created At9/9/2026, 6:42:00 PM