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fa17ce1bd6
Fix lightbox for uploaded images Fix save media content Fix TypeGPT and Cloudflare provider
94 lines
3.7 KiB
Python
94 lines
3.7 KiB
Python
from __future__ import annotations
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import random
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import json
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from ..typing import AsyncResult, Messages
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from ..requests import StreamSession, raise_for_status
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from ..errors import ResponseError
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from ..providers.response import FinishReason, Sources
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from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
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API_URL = "https://www.perplexity.ai/socket.io/"
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WS_URL = "wss://www.perplexity.ai/socket.io/"
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class PerplexityLabs(AsyncGeneratorProvider, ProviderModelMixin):
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url = "https://labs.perplexity.ai"
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working = True
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default_model = "r1-1776"
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models = [
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default_model,
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"sonar-pro",
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"sonar",
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"sonar-reasoning",
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"sonar-reasoning-pro",
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]
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@classmethod
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async def create_async_generator(
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cls,
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model: str,
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messages: Messages,
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proxy: str = None,
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**kwargs
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) -> AsyncResult:
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headers = {
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"Origin": cls.url,
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"Referer": f"{cls.url}/",
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}
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async with StreamSession(headers=headers, proxy=proxy, impersonate="chrome") as session:
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t = format(random.getrandbits(32), "08x")
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async with session.get(
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f"{API_URL}?EIO=4&transport=polling&t={t}"
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) as response:
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await raise_for_status(response)
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text = await response.text()
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assert text.startswith("0")
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sid = json.loads(text[1:])["sid"]
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post_data = '40{"jwt":"anonymous-ask-user"}'
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async with session.post(
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f"{API_URL}?EIO=4&transport=polling&t={t}&sid={sid}",
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data=post_data
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) as response:
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await raise_for_status(response)
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assert await response.text() == "OK"
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async with session.get(
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f"{API_URL}?EIO=4&transport=polling&t={t}&sid={sid}",
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data=post_data
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) as response:
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await raise_for_status(response)
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assert (await response.text()).startswith("40")
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async with session.ws_connect(f"{WS_URL}?EIO=4&transport=websocket&sid={sid}", autoping=False) as ws:
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await ws.send_str("2probe")
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assert(await ws.receive_str() == "3probe")
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await ws.send_str("5")
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assert(await ws.receive_str() == "6")
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message_data = {
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"version": "2.18",
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"source": "default",
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"model": model,
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"messages": [message for message in messages if isinstance(message["content"], str)],
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}
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await ws.send_str("42" + json.dumps(["perplexity_labs", message_data]))
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last_message = 0
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while True:
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message = await ws.receive_str()
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if message == "2":
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if last_message == 0:
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raise RuntimeError("Unknown error")
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await ws.send_str("3")
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continue
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try:
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if last_message == 0 and model == cls.default_model:
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yield "<think>"
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data = json.loads(message[2:])[1]
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yield data["output"][last_message:]
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last_message = len(data["output"])
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if data["final"]:
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if data["citations"]:
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yield Sources(data["citations"])
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yield FinishReason("stop")
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break
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except Exception as e:
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raise ResponseError(f"Message: {message}") from e
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