gpt4free/g4f/Provider/needs_auth/Raycast.py
2024-11-15 11:58:58 +01:00

71 lines
2.0 KiB
Python

from __future__ import annotations
import json
import requests
from ...typing import CreateResult, Messages
from ..base_provider import AbstractProvider
class Raycast(AbstractProvider):
url = "https://raycast.com"
supports_gpt_35_turbo = True
supports_gpt_4 = True
supports_stream = True
needs_auth = True
working = True
models = [
"gpt-3.5-turbo",
"gpt-4"
]
@staticmethod
def create_completion(
model: str,
messages: Messages,
stream: bool,
proxy: str = None,
**kwargs,
) -> CreateResult:
auth = kwargs.get('auth')
if not auth:
raise ValueError("Raycast needs an auth token, pass it with the `auth` parameter")
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 = [
{'author': message['role'], 'content': {'text': message['content']}}
for message in messages
]
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(
"https://backend.raycast.com/api/v1/ai/chat_completions",
headers=headers,
json=data,
stream=True,
proxies={"https": proxy}
)
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