Log MIDguw1Be62HmHw7Z9s
Tx MIDguw1BeAMQlRtr4Mj
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
209 × 4.05 = 0.000846
0 × 0.135 = 0.000000
1302 × 12.15 = 0.0158
CNY 0.0167
Vendor Cost
209 × 3.6 = 0.000752
0 × 0.12 = 0.000000
1302 × 10.8 = 0.0141
CNY 0.0148
Latency21.27552337s
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):结合实际案例、under high concurrency、云计算架构、背后的设计取舍、cache strategy、人工智能、背后的设计取舍、如何度量与验证、从技术角度分析、潜在的风险点、cache strategy、潜在的风",
"has_image": false,
"has_tool_result": false
},
"assistant_summary": {
"text": "以电商大促推荐为例,高并发下基于云计算架构部署分布式系统,采用CDN、Redis与本地缓存的多级缓存策略,并让机器学习模型离线或近线生成推荐结果后写入缓存。设计取舍是以弱一致换取系统吞吐量(the system throughput);通过版本号与TTL控制数据一致性,用分布式锁、令牌桶和乐观锁做并",
"tool_calls": [],
"stop_reason": "stop"
}
}Stop Reasonstop
Token Usage
{
"completion_tokens": 1302,
"completion_tokens_details": {
"reasoning_tokens": 1111
},
"prompt_tokens": 209,
"prompt_tokens_details": {
"cached_tokens": 0
},
"total_tokens": 1511
}Fixes
Created At9/9/2026, 6:41:48 PM