85 lines
2.5 KiB
Markdown
85 lines
2.5 KiB
Markdown
## Current Problems
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- 最新的 trace 缺少了做 workload 类型判断的依据（之前依据 plugin call 进行判断，根据是否调用了 pdf_extractor/wanx/tongyi_nlp_web_search 分类 file/image/search）
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- 对 turn 的定义变得不确定
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manus: agent 模式下，context 太长，LLM 忘了之前的内容怎么办，就会把一些内容，让 LLM 自己复述一遍，“让我想想，我之前看过这个东西 xxx” 相当于把距离很远的 context 又提到最后了
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```
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## Old
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+---------+
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| Human |
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+---------+
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| /|\
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\|/ |
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+---------+
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| LLM |
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+---------+
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## New
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+---------+
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| Human |
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+---------+
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\|/ |
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+---------+
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| LLM |------+
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+---------+ |
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/|\ | ----> "<Web_search> Do you understand?" "Yes, sir!"
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+------------+
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```
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- 缺少 output token length
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在之前的 trace 中有 `usage` 这个 field
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![[projects/kvcachecache/Trace-Qwen3.figs/250812-140723.png]]
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## fields
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```
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__source__,__tag__:__hostname__,__tag__:__pack_id__,__tag__:__path__,__tag__:__receive_time__,__tag__:__service_name__,__tag__:__user_defined_id__,__tag__:_container_ip_,__tag__:_container_name_,__tag__:_image_name_,__tag__:_namespace_,__tag__:_pod_name_,__tag__:_pod_uid_,__tag__:eci_id,__time__,__topic__,code,context,ds_service_id,ds_service_name,interval,message,model,request_id,service_id,service_name,span_id,step,task_id,time,trace_id,user_id
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['__source__', '__tag__:__hostname__', '__tag__:__pack_id__', '__tag__:__path__', '__tag__:__receive_time__', '__tag__:__service_name__', '__tag__:__user_defined_id__', '__tag__:_container_ip_', '__tag__:_container_name_', '__tag__:_image_name_', '__tag__:_namespace_', '__tag__:_pod_name_', '__tag__:_pod_uid_', '__tag__:eci_id', '__time__', '__topic__', 'code', 'context', 'ds_service_id', 'ds_service_name', 'interval', 'message', 'model', 'request_id', 'service_id', 'service_name', 'span_id', 'step', 'task_id', 'time', 'trace_id', 'user_id']
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__source__
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__tag__:__hostname__
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__tag__:__pack_id__
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__tag__:__path__
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__tag__:__receive_time__
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__tag__:__service_name__
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__tag__:__user_defined_id__
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__tag__:_container_ip_
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__tag__:_container_name_
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__tag__:_image_name_
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__tag__:_namespace_
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__tag__:_pod_name_
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__tag__:_pod_uid_
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__tag__:eci_id
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__time__
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__topic__
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code
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context
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ds_service_id
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ds_service_name
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interval
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message
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model
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request_id
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service_id
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service_name
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span_id
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step
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task_id
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time
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trace_id
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user_id
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```
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qwen-chat: 345339
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tongyi: 421551
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tob: 740251 + 740393 |