Log MIDguw1GeTvWT1cD2iY
Tx MIDguw1GeXFmuzk0LxD
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
218 × 4.05 = 0.000883
0 × 0.135 = 0.000000
2491 × 12.15 = 0.0303
CNY 0.0311
Vendor Cost
218 × 3.6 = 0.000785
0 × 0.12 = 0.000000
2491 × 10.8 = 0.0269
CNY 0.0277
Latency37.30044747s
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):load balancing、机器学习、碳中和、云计算架构、latency distribution、人工智能、潜在的风险点、请举例说明、结合实际案例、云计算架构、请详细说明、人工智能、分布式系统、机器学习、从技术角度分析、st",
"has_image": false,
"has_tool_result": false
},
"assistant_summary": {
"text": "在云计算架构下,分布式系统承载机器学习/人工智能推理时,load balancing策略直接影响 latency distribution,尤其 streaming response 与 token generation 场景下,算法复杂度会放大尾部延迟并限制性能优化。从技术角度分析,背后的设计取舍",
"tool_calls": [],
"stop_reason": "stop"
}
}Stop Reasonstop
Token Usage
{
"completion_tokens": 2491,
"completion_tokens_details": {
"reasoning_tokens": 2291
},
"prompt_tokens": 218,
"prompt_tokens_details": {
"cached_tokens": 0
},
"total_tokens": 2709
}Fixes
Created At9/9/2026, 6:42:02 PM