mirror of
https://github.com/xtekky/gpt4free.git
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80 lines
2.3 KiB
Python
80 lines
2.3 KiB
Python
from __future__ import annotations
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import json
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import requests
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from ...typing import CreateResult, Messages
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from ..base_provider import BaseProvider
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class Raycast(BaseProvider):
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url = "https://raycast.com"
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supports_gpt_35_turbo = True
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supports_gpt_4 = True
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supports_stream = True
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needs_auth = True
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working = True
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@staticmethod
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def create_completion(
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model: str,
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messages: Messages,
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stream: bool,
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proxy: str = None,
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**kwargs,
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) -> CreateResult:
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auth = kwargs.get('auth')
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headers = {
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'Accept': 'application/json',
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'Accept-Language': 'en-US,en;q=0.9',
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'Authorization': f'Bearer {auth}',
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'Content-Type': 'application/json',
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'User-Agent': 'Raycast/0 CFNetwork/1410.0.3 Darwin/22.6.0',
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}
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parsed_messages = []
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for message in messages:
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parsed_messages.append({
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'author': message['role'],
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'content': {'text': message['content']}
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})
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data = {
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"debug": False,
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"locale": "en-CN",
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"messages": parsed_messages,
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"model": model,
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"provider": "openai",
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"source": "ai_chat",
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"system_instruction": "markdown",
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"temperature": 0.5
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}
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response = requests.post(
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"https://backend.raycast.com/api/v1/ai/chat_completions",
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headers=headers,
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json=data,
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stream=True,
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proxies={"https": proxy}
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)
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for token in response.iter_lines():
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if b'data: ' not in token:
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continue
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completion_chunk = json.loads(token.decode().replace('data: ', ''))
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token = completion_chunk['text']
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if token != None:
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yield token
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@classmethod
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@property
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def params(cls):
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params = [
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("model", "str"),
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("messages", "list[dict[str, str]]"),
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("stream", "bool"),
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("temperature", "float"),
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("top_p", "int"),
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("model", "str"),
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("auth", "str"),
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]
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param = ", ".join([": ".join(p) for p in params])
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return f"g4f.provider.{cls.__name__} supports: ({param})"
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