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import json
import os
import requests
from g4f.typing import get_type_hints
url = "https://backend.raycast.com/api/v1/ai/chat_completions"
model = ['gpt-3.5-turbo', 'gpt-4']
supports_stream = True
needs_auth = True
working = True
def _create_completion(model: str, messages: list, stream: bool, **kwargs):
auth = kwargs.get('auth')
headers = {
'Accept': 'application/json',
'Accept-Language': 'en-US,en;q=0.9',
'Authorization': f'Bearer {auth}',
'Content-Type': 'application/json',
'User-Agent': 'Raycast/0 CFNetwork/1410.0.3 Darwin/22.6.0',
}
parsed_messages = []
for message in messages:
parsed_messages.append({
'author': message['role'],
'content': {'text': message['content']}
})
data = {
"debug": False,
"locale": "en-CN",
"messages": parsed_messages,
"model": model,
"provider": "openai",
"source": "ai_chat",
"system_instruction": "markdown",
"temperature": 0.5
}
response = requests.post(url, headers=headers, json=data, stream=True)
for token in response.iter_lines():
if b'data: ' not in token:
continue
completion_chunk = json.loads(token.decode().replace('data: ', ''))
token = completion_chunk['text']
if token != None:
yield token
params = f'g4f.Providers.{os.path.basename(__file__)[:-3]} supports: ' + \
'(%s)' % ', '.join([f"{name}: {get_type_hints(_create_completion)[name].__name__}" for name in _create_completion.__code__.co_varnames[:_create_completion.__code__.co_argcount]])