Log MIDguue9v9a6jBVlI9W
Tx MIDguue9vEZVP8hSG0V
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
219 × 4.05 = 0.000887
0 × 0.135 = 0.000000
1940 × 12.15 = 0.0236
CNY 0.0245
Vendor Cost
219 × 3.6 = 0.000788
0 × 0.12 = 0.000000
1940 × 10.8 = 0.0210
CNY 0.0217
Latency38.09463260s
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):需要考虑的权衡、人工智能、token generation、token generation、under high concurrency、人工智能、请举例说明、在生产环境中、算法复杂度、以及未来发展趋势、并给出可落地的建议、结",
"has_image": false,
"has_tool_result": false
},
"assistant_summary": {
"text": "从技术角度分析,生产环境中人工智能 token generation 的核心权衡在于系统吞吐量与 latency distribution。其一,under high concurrency 下,并发控制与内存管理决定上限:算法复杂度过高会拉高单 token 延迟,需通过机器学习模型量化、KV ca",
"tool_calls": [],
"stop_reason": "stop"
}
}Stop Reasonstop
Token Usage
{
"completion_tokens": 1940,
"completion_tokens_details": {
"reasoning_tokens": 1750
},
"prompt_tokens": 219,
"prompt_tokens_details": {
"cached_tokens": 0
},
"total_tokens": 2159
}Fixes
Created At9/9/2026, 2:33:57 PM