## Current Problems

- 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）

- 对 turn 的定义变得不确定
	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
```
## Old
+---------+
|  Human  |
+---------+
  |    /|\
  |     |
 \|/    |
+---------+
|   LLM   |
+---------+

## New
+---------+
|  Human  |
+---------+
  |    /|\
  |     |
 \|/    |
+---------+
|   LLM   |------+
+---------+      |
   /|\           | ----> "<Web_search> Do you understand?" "Yes, sir!"
    |            |
	+------------+
```

- 缺少 output token length
在之前的 trace 中有 `usage` 这个 field

![[projects/kvcachecache/Trace-Qwen3.figs/250812-140723.png]]


## fields

```
__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

['__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']

__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

```


qwen-chat: 345339
tongyi: 421551
tob: 740251 + 740393