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from __future__ import annotations
import json
import requests
from ..typing import Any, CreateResult
from .base_provider import BaseProvider
class Raycast(BaseProvider):
url = "https://raycast.com"
supports_gpt_35_turbo = True
supports_gpt_4 = True
supports_stream = True
needs_auth = True
working = True
@staticmethod
def create_completion(
model: str,
messages: list[dict[str, str]],
stream: bool,
**kwargs: Any,
) -> CreateResult:
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("https://backend.raycast.com/api/v1/ai/chat_completions", 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
@classmethod
@property
def params(cls):
params = [
("model", "str"),
("messages", "list[dict[str, str]]"),
("stream", "bool"),
("temperature", "float"),
("top_p", "int"),
("model", "str"),
("auth", "str"),
]
param = ", ".join([": ".join(p) for p in params])
return f"g4f.provider.{cls.__name__} supports: ({param})"
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