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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 AbstractProvider |
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class Raycast(AbstractProvider): |
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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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models = [ |
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"gpt-3.5-turbo", |
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"gpt-4" |
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] |
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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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if not auth: |
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raise ValueError("Raycast needs an auth token, pass it with the `auth` parameter") |
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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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{'author': message['role'], 'content': {'text': message['content']}} |
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for message in messages |
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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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