Log MIDguoL0skcHy7USat2
Tx MIDguoL0sqbZBGW5kiD
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
288 × 4.05 = 0.001166
0 × 0.135 = 0.000000
2391 × 12.15 = 0.0291
CNY 0.0302
Vendor Cost
288 × 3.6 = 0.001037
0 × 0.12 = 0.000000
2391 × 10.8 = 0.0258
CNY 0.0269
Latency39.81099969s
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 300 tokens 的输入):碳中和、under high concurrency、服务治理、并给出可落地的建议、内存管理、latency distribution、cache strategy、在生产环境中、load balancing、潜在的风险点、st",
"has_image": false,
"has_tool_result": false
},
"assistant_summary": {
"text": "在生产环境 under high concurrency 的分布式系统中,人工智能 token generation 的 streaming response 要求在服务治理、性能优化与碳中和之间做设计取舍。可落地建议如下:\n\n1. **并发控制与内存管理**:用对象池、KV cache 前缀共享、",
"tool_calls": [],
"stop_reason": "stop"
}
}Stop Reasonstop
Token Usage
{
"completion_tokens": 2391,
"completion_tokens_details": {
"reasoning_tokens": 2107
},
"prompt_tokens": 288,
"prompt_tokens_details": {
"cached_tokens": 0
},
"total_tokens": 2679
}Fixes
Created At9/8/2026, 7:33:47 PM