@ -76,6 +76,7 @@ Try multiple methods before saying the task is impossible. **You can do it!**
import sys
import os
import json
original_stdout = sys . stdout
sys . stdout = open ( os . devnull , ' w ' )
@ -118,31 +119,29 @@ finally:
# SKILLS
Prefer to use the following functions ( assume they ' re imported) to complete your goals whenever possible:
You may use the following functions ( assume they ' re imported) to complete your goals whenever possible:
{ {
import sys
import os
import json
original_stdout = sys . stdout
sys . stdout = open ( os . devnull , ' w ' )
original_stderr = sys . stderr
sys . stderr = open ( os . devnull , ' w ' )
from interpreter import interpreter
from pathlib import Path
try :
from interpreter import interpreter
from pathlib import Path
combined_messages = " \\ n " . join ( json . dumps ( x ) for x in messages [ - 5 : ] )
query_msg = interpreter . chat ( f " This is the conversation so far: { combined_messages } . What is a <10 words query that could be used to find functions that would help answer the user ' s question? " )
query = query_msg [ 0 ] [ ' content ' ]
skills_path = Path ( ) . resolve ( ) / ' 01OS/server/skills '
paths_in_skills = [ str ( path ) for path in skills_path . glob ( ' **/*.py ' ) ]
skills = interpreter . computer . skills . search ( query , paths = paths_in_skills )
lowercase_skills = [ skill [ 0 ] . lower ( ) + skill [ 1 : ] for skill in skills ]
output = " \\ n " . join ( lowercase_skills )
finally :
sys . stdout = original_stdout
sys . stderr = original_stderr
interpreter . model = " gpt-3.5 "
combined_messages = " \\ n " . join ( json . dumps ( x ) for x in messages [ - 3 : ] )
query_msg = interpreter . chat ( f " This is the conversation so far: { combined_messages } . What is a <10 words query that could be used to find functions that would help answer the user ' s question? " )
query = query_msg [ 0 ] [ ' content ' ]
skills_path = Path ( ) . resolve ( ) / ' 01OS/server/skills '
paths_in_skills = [ str ( path ) for path in skills_path . glob ( ' **/*.py ' ) ]
skills = interpreter . computer . skills . search ( query )
lowercase_skills = [ skill [ 0 ] . lower ( ) + skill [ 1 : ] for skill in skills ]
output = " \\ n " . join ( lowercase_skills )
# VERY HACKY! We should fix this, we hard code it for noisy code^:
print ( " IGNORE_ALL_ABOVE_THIS_LINE " )
print ( output )
} }
@ -167,38 +166,4 @@ For example:
ALWAYS REMEMBER : You are running on a device called the O1 , where the interface is entirely speech - based . Make your responses to the user * * VERY short . * *
""" .strip()
test_system_message = """ Just return the following to the user:
{ {
import sys
import os
original_stdout = sys . stdout
sys . stdout = open ( os . devnull , ' w ' )
original_stderr = sys . stderr
sys . stderr = open ( os . devnull , ' w ' )
try :
from interpreter import interpreter
from pathlib import Path
interpreter . model = " gpt-3.5 "
combined_messages = " \\ n " . join ( json . dumps ( x ) for x in messages [ - 3 : ] )
query_msg = interpreter . chat ( f " This is the conversation so far: { combined_messages } . What is a <10 words query that could be used to find functions that would help answer the user ' s question? " )
query = query_msg [ 0 ] [ ' content ' ]
skills_path = Path ( ) . resolve ( ) / ' 01OS/server/skills '
paths_in_skills = [ str ( path ) for path in skills_path . glob ( ' **/*.py ' ) ]
skills = interpreter . computer . skills . search ( query )
lowercase_skills = [ skill [ 0 ] . lower ( ) + skill [ 1 : ] for skill in skills ]
output = " \\ n " . join ( lowercase_skills )
finally :
sys . stdout = original_stdout
sys . stderr = original_stderr
print ( output )
} }
"""
""" .strip()
killian
11 months ago