Error in api

[liushuown]

When I run the code "python main.py"
I received the following error

before running, all old files have been removed.

setting:0

#---------- generating basic plan! -----------
(find_table rob table_0 dining)
(walk rob dining kitchen)
(find_plate rob plate_1 kitchen)
(grasp_plate rob plate_1 kitchen)
(move_plate rob plate_1 kitchen table_0 dining)
(place_plate rob plate_1 table_0 dining)
(walk_table rob table_0 dining)
(find_chair rob chair_1 dining)
(pull_chair rob chair_1 dining)
(walk rob dining kitchen)
(find_burger rob burger_1 kitchen)
(find_fork rob fork_1 kitchen)
(grasp_burger rob burger_1 kitchen)
(move_burger rob burger_1 kitchen plate_1 dining)
(place_burger rob burger_1 plate_1 dining)
(walk rob dining kitchen)
(grasp_fork rob fork_1 kitchen)
(move_fork rob fork_1 kitchen plate_1 dining)
(place_fork rob fork_1 plate_1 dining)
; cost = 19 (unit cost)
Traceback (most recent call last):
File "/home/liushuo/anaconda3/envs/cowplanning/lib/python3.7/site-packages/openai/http_client.py", line 221, in request
**kwargs,
File "/home/liushuo/anaconda3/envs/cowplanning/lib/python3.7/site-packages/requests/sessions.py", line 589, in request
resp = self.send(prep, **send_kwargs)
File "/home/liushuo/anaconda3/envs/cowplanning/lib/python3.7/site-packages/requests/sessions.py", line 703, in send
r = adapter.send(request, **kwargs)
File "/home/liushuo/anaconda3/envs/cowplanning/lib/python3.7/site-packages/requests/adapters.py", line 497, in send
chunked=chunked,
File "/home/liushuo/anaconda3/envs/cowplanning/lib/python3.7/site-packages/urllib3/connectionpool.py", line 803, in urlopen
**response_kw,
File "/home/liushuo/anaconda3/envs/cowplanning/lib/python3.7/site-packages/urllib3/connectionpool.py", line 505, in _make_request
enforce_content_length=enforce_content_length,
File "/home/liushuo/anaconda3/envs/cowplanning/lib/python3.7/site-packages/urllib3/connection.py", line 394, in request
self.putheader(header, value)
File "/home/liushuo/anaconda3/envs/cowplanning/lib/python3.7/site-packages/urllib3/connection.py", line 308, in putheader
super().putheader(header, values)
File "/home/liushuo/anaconda3/envs/cowplanning/lib/python3.7/http/client.py", line 1259, in putheader
raise ValueError('Invalid header value %r' % (values[i],))
ValueError: Invalid header value b'Bearer sk-Ma4ZnyqCPja*********B4\n'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "main.py", line 77, in
situation_index, situation, situation_opp, situation_object, situation_predicate, situation_action = situation_simulator(task_id)
File "/home/liushuo/GPT-Planner/situation_simulator.py", line 824, in situation_simulator
situation_predicate = predicate_generator(situation)
File "/home/liushuo/GPT-Planner/utility.py", line 253, in predicate_generator
stop=['\n', '.']
File "/home/liushuo/anaconda3/envs/cowplanning/lib/python3.7/site-packages/openai/api_resources/completion.py", line 31, in create
return super().create(*args, **kwargs)
File "/home/liushuo/anaconda3/envs/cowplanning/lib/python3.7/site-packages/openai/api_resources/abstract/engine_api_resource.py", line 67, in create
"post", url, params, headers, stream=stream
File "/home/liushuo/anaconda3/envs/cowplanning/lib/python3.7/site-packages/openai/api_requestor.py", line 127, in request
method.lower(), url, params, headers, stream=stream
File "/home/liushuo/anaconda3/envs/cowplanning/lib/python3.7/site-packages/openai/api_requestor.py", line 322, in request_raw
method, abs_url, headers, post_data, stream=stream
File "/home/liushuo/anaconda3/envs/cowplanning/lib/python3.7/site-packages/openai/http_client.py", line 87, in request_with_retries
raise connection_error
File "/home/liushuo/anaconda3/envs/cowplanning/lib/python3.7/site-packages/openai/http_client.py", line 58, in request_with_retries
response = self.request(method, url, headers, post_data, stream=stream)
File "/home/liushuo/anaconda3/envs/cowplanning/lib/python3.7/site-packages/openai/http_client.py", line 246, in request
self._handle_request_error(e)
File "/home/liushuo/anaconda3/envs/cowplanning/lib/python3.7/site-packages/openai/http_client.py", line 306, in _handle_request_error
raise error.APIConnectionError(msg, should_retry=should_retry)
openai.error.APIConnectionError: Unexpected error communicating with OpenAI. It looks like there's
probably a configuration issue locally. If this problem persists, let
us know at support@openai.com.

(Network error: A ValueError was raised with error message Invalid header value b'Bearer sk-Ma4ZnyqCPja**********B4\n')

However, I have tested my api_key use the following code, and it can run sucessfully.

from langchain_openai import ChatOpenAI
llm = ChatOpenAI(
openai_api_base="https://api.xiaoai.plus/v1",
openai_api_key="sk-xxxxx"
)
res = llm.invoke("hello")
print(res.content)

How can I fix this error?

[yding25]

Thanks for trying the script. I believe you tested an older version. Could you please try the Colab version instead? I strongly recommend using the Colab version as it is easier to run. This project was built a few years ago, and I'm not sure if some APIs in the Colab version, such as ChatGPT, have been updated.

[liushuown]

Hi, thanks for your help! As you said, I changed "def llm", "def predicate_generator", and updated my openai version == 1.9.0 , API problem seems to be solved! However, I'm still a bit puzzled, when my task id =1, currently my output looks like this:

before running, all old files have been removed.

setting:1

#---------- generating basic plan! -----------
(walk rob kitchen dining)
(find_table rob table_0 dining)
(grasp_vacuum rob vacuum_2 dining)
(plug_vacuum rob vacuum_2 outlet_1 dining)
(turnon_vacuum rob vacuum_2 dining)
(clean_area rob vacuum_2 table_0 dining)
(turnoff_vacuum rob vacuum_2 dining)
(unplug_vacuum rob vacuum_2 dining)
; cost = 8 (unit cost)
****utility.py predicate_generator ****
result: ower_outage_exists

#---------- generating situation! -----------
situation index: 0
situation: there is a power outage.
action corresponding to situation: turnon_vacuum
corresponding predicate: power_outage_exists
object manipulated by robot: vacuum_2
object in situation: power

#---------- executing plan! -----------
action: ['walk', 'rob', 'kitchen', 'dining']
action (decoded): a robot walks from a kitchen room to a dining room.
this action is executed!

action: ['find_table', 'rob', 'table_0', 'dining']
action (decoded): a robot finds a table in a dining room.
this action is executed!

action: ['grasp_vacuum', 'rob', 'vacuum_2', 'dining']
action (decoded): a robot grasps a vacuum in a dining room.
this action is executed!

action: ['plug_vacuum', 'rob', 'vacuum_2', 'outlet_1', 'dining']
action (decoded): a robot plugs a vacuum using outlet in a dining room.
this action is executed!

action: ['turnon_vacuum', 'rob', 'vacuum_2', 'dining']
action (decoded): a robot turns on a vacuum in a dining room.

#---------- checking unexecuted actions! -----------
['turnon_vacuum', 'rob', 'vacuum_2', 'dining']
['clean_area', 'rob', 'vacuum_2', 'table_0', 'dining']
['turnoff_vacuum', 'rob', 'vacuum_2', 'dining']
['unplug_vacuum', 'rob', 'vacuum_2', 'dining']

unexecuted action: ['turnon_vacuum', 'rob', 'vacuum_2', 'dining']
unexecuted action (decoded): a robot turns on a vacuum in a dining room.
! prompt design
raw prompt: is it suitable that a robot turns on a vacuum if there is a power outage?
! experience found
! response from LLM
response (raw prompt): a
#---------- action can be executed! -----------

unexecuted action: ['clean_area', 'rob', 'vacuum_2', 'table_0', 'dining']
unexecuted action (decoded): a robot cleans the area beside a table using vacuum in a dining room.
! prompt design
raw prompt: is it suitable that a robot cleans the area beside a table using vacuum if there is a power outage?
! experience found
! response from LLM
response (raw prompt): no,
#---------- current plan cannot be executed! -----------

#---------- adding constraint -----------
! step 1: supplement constraint to action precondition
step 1 is done!
! step 2: supplement action's parameter
step 2 is done!
! step 3: supplement type
step 3 is done!
! step 4: supplement predicates
step 4 is done!
! step 5: supplement init
step 5 is done!
! step 6: supplement object
step 6 is done!

#---------- generating modified_plan_1! -----------
#---------- no modified_plan_1 found! -----------

#---------- call llm_object -----------
#---------- object that robot can operate: ----------
['cutlery knife', 'dish bowl', 'coffee cup', 'cutlery fork', 'mat', 'measuring cup', 'bucket', 'cleaning bottle', 'frying pan', 'drinking glass', 'oven tray', 'cooking pot', 'trash can', 'cutting board']

#---------- capable_objects: ----------
None

#---------- most possible object: ----------
None

no modified_plan_2 found!

#---------- call llm_appliance -----------
appliance that robot can operate: ['toaster', 'juicer', 'fridge', 'coffee maker', 'water filter', 'stove', 'microwave', 'ice cream maker', 'dishwasher']

! prompt design
prompt (raw): can a toaster make power available if there is a power outage?
answer:
! experience found
! results from LLM
response (raw prompt): no

! prompt design
prompt (raw): can a juicer make power available if there is a power outage?
answer:
! experience found
! results from LLM
response (raw prompt): no

! prompt design
prompt (raw): can a fridge make power available if there is a power outage?
answer:
! experience found
! results from LLM
response (raw prompt): no

! prompt design
prompt (raw): can a coffee maker make power available if there is a power outage?
answer:
! experience found
! results from LLM
response (raw prompt): no

! prompt design
prompt (raw): can a water filter make power available if there is a power outage?
answer:
! experience found
! results from LLM
response (raw prompt): no

! prompt design
prompt (raw): can a stove make power available if there is a power outage?
answer:
! experience found
! results from LLM
response (raw prompt): no

! prompt design
prompt (raw): can a microwave make power available if there is a power outage?
answer:
! experience found
! results from LLM
response (raw prompt): no

! prompt design
prompt (raw): can a ice cream maker make power available if there is a power outage?
answer:
! experience found
! results from LLM
response (raw prompt): no

! prompt design
prompt (raw): can a dishwasher make power available if there is a power outage?
answer:
! experience found
! results from LLM
response (raw prompt): no

no capable appliance found!

no modified_plan_3 found!

#---------- solution -----------
none of modified_plan_1, modified_plan_2 and modified_plan_3 exist.

Is that right?

[yding25]

Thank you for revising the "def llm" and "def predicate_generator". I'm glad to see that you achieved the desired result. In your case, where "there is a power outage," there is no solution to resolve this situation. This is an expected outcome, as we discussed similar cases in the paper.