Log MIDguudSMe13FmcOIVF
Tx MIDguudSMkKxJKG0Bej
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
220 × 1.35 = 0.000297
0 × 0.045 = 0.000000
1040 × 4.05 = 0.004212
CNY 0.004509
Vendor Cost
220 × 1.2 = 0.000264
0 × 0.04 = 0.000000
1040 × 3.6 = 0.003744
CNY 0.004008
Latency11.87924533s
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):分点阐述其中的、服务治理、结合实际案例、token generation、并给出可落地的建议、the system throughput、关键原理与影响、可观测性、token generation、可观测性、如何度量与验证、并给",
"has_image": false,
"has_tool_result": false
},
"assistant_summary": {
"text": "分点阐述如下:\n\n- **token generation 与系统吞吐**:在分布式系统中,token 生成涉及哈希、签名等算法复杂度,直接影响吞吐。可通过机器学习预测流量峰值,结合 **cache strategy**(如 Redis 缓存令牌)降低重复计算,并配合**服务治理**做限流降级。\n\n",
"tool_calls": [],
"stop_reason": "stop"
}
}Stop Reasonstop
Token Usage
{
"completion_tokens": 1040,
"completion_tokens_details": {
"reasoning_tokens": 787
},
"prompt_tokens": 220,
"prompt_tokens_details": {
"cached_tokens": 0
},
"total_tokens": 1260
}Fixes
Created At9/9/2026, 2:31:54 PM