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from helpers.provider import *
from helpers.models import model
import re,ast
def streamer(tok):
completion_timestamp = int(time.time())
completion_id = ''.join(random.choices(
'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789', k=28))
completion_tokens = num_tokens_from_string(tok)
completion_data = {
'id': f'chatcmpl-{completion_id}',
'object': 'chat.completion.chunk',
'created': completion_timestamp,
'model': 'gpt-4',
"usage": {
"prompt_tokens": 0,
"completion_tokens": completion_tokens,
"total_tokens": completion_tokens,
},
'choices': [
{
'delta': {
'role':"assistant",
'content':tok
},
'index': 0,
'finish_reason': None
}
]
}
return completion_data
def end():
completion_timestamp = int(time.time())
completion_id = ''.join(random.choices(
'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789', k=28))
end_completion_data = {
'id': f'chatcmpl-{completion_id}',
'object': 'chat.completion.chunk',
'created': completion_timestamp,
'model': model,
'provider': 'openai',
'choices': [
{
'index': 0,
'delta': {},
'finish_reason': 'stop',
}
],
}
return end_completion_data
def output(tok):
completion_timestamp = int(time.time())
completion_id = ''.join(random.choices(
'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789', k=28))
completion_tokens = 11
return {
'id': 'chatcmpl-%s' % completion_id,
'object': 'chat.completion',
'created': completion_timestamp,
'model': "gpt-4-0125-preview",
"usage": {
"prompt_tokens": 0,
"completion_tokens": completion_tokens,
"total_tokens": completion_tokens,
},
'choices': [{
'message': {
'role': 'assistant',
'content': tok
},
'finish_reason': 'stop',
'index': 0
}]
}
def stream_func(tok,type_tool):
print("-"*500)
print(f"streaming {type_tool}")
completion_timestamp = int(time.time())
completion_id = ''.join(random.choices(
'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789', k=28))
completion_tokens = 11
tool_calls=[]
regex = r'```json\n(.*?)\n```'
matches = re.findall(regex, tok, re.DOTALL)
print(matches)
if matches !=[]:
info_blocks = ast.literal_eval(matches[0])
for info_block in info_blocks:
tok=tok.replace(f"```json\n{info_block}\n```",'')
tool_data=info_block
# to_add={"function":{"arguments":re.sub(r"(?<!\w)'(.*?)'(?!\w)", r'"\1"', str(tool_data["tool_input"])),"name":tool_data["tool"]},"id":f"call_3GjyYbPEskNsP67fkjyXj{random.randint(100,999)}","type":"function"}
to_add={"function":{"arguments":json.dumps(tool_data["tool_input"]),"name":tool_data["tool"]},"id":f"call_3GjyYbPEskNsP67fkjyXj{random.randint(100,999)}","type":"function"}
print(to_add)
tool_calls.append(to_add)
completion_data = {
'id': f'chatcmpl-{completion_id}',
'object': 'chat.completion.chunk',
'created': completion_timestamp,
'model': 'gpt-4',
"usage": {
"prompt_tokens": 0,
"completion_tokens": completion_tokens,
"total_tokens": completion_tokens,
},
'choices': [
{
'delta': {
'role':"assistant",
'content':"",
"tool_calls":tool_calls,
},
'index': 0,
'finish_reason': "", }
]
}
return completion_data
def func_output(tok,type_tool):
print("-"*500)
print(f"OUTPUTTING {type_tool}")
completion_timestamp = int(time.time())
completion_id = ''.join(random.choices(
'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789', k=28))
completion_tokens = 11
tool_calls=[]
regex = r'```json\n(.*?)\n```'
matches = re.findall(regex, tok, re.DOTALL)
print(matches)
if matches !=[]:
info_blocks = ast.literal_eval(matches[0])
for info_block in info_blocks:
tok=tok.replace(f"```json\n{info_block}\n```",'')
tool_data=info_block
# to_add={"function":{"arguments":re.sub(r"(?<!\w)'(.*?)'(?!\w)", r'"\1"', str(tool_data["tool_input"])),"name":tool_data["tool"]},"id":f"call_3GjyYbPEskNsP67fkjyXj{random.randint(100,999)}","type":"function"}
to_add={"function":{"arguments":json.dumps(tool_data["tool_input"]),"name":tool_data["tool"]},"id":f"call_3GjyYbPEskNsP67fkjyXj{random.randint(100,999)}","type":"function"}
print(to_add)
tool_calls.append(to_add)
return {
'id': 'chatcmpl-%s' % completion_id,
'object': 'chat.completion',
'created': completion_timestamp,
'model': "gpt-4.5-turbo",
"usage": {
"prompt_tokens": 0,
"completion_tokens": completion_tokens,
"total_tokens": completion_tokens,
},
'choices': [{
'message': {
'role': 'assistant',
'content': tok,
"tool_calls":tool_calls
},
'finish_reason': '',
'index': 0
}]
}
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