2.5 KiB
2.5 KiB
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
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
