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100 lines
4.3 KiB
Python
100 lines
4.3 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 .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 = "mixtral-8x7b-instruct"
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models = [
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"llama-3-sonar-large-32k-online", "llama-3-sonar-small-32k-online", "llama-3-sonar-large-32k-chat", "llama-3-sonar-small-32k-chat",
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"dbrx-instruct", "claude-3-haiku-20240307", "llama-3-8b-instruct", "llama-3-70b-instruct", "codellama-70b-instruct", "mistral-7b-instruct",
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"llava-v1.5-7b-wrapper", "llava-v1.6-34b", "mixtral-8x7b-instruct", "mixtral-8x22b-instruct", "mistral-medium", "gemma-2b-it", "gemma-7b-it",
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"related"
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]
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model_aliases = {
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"mistralai/Mistral-7B-Instruct-v0.1": "mistral-7b-instruct",
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"mistralai/Mistral-7B-Instruct-v0.2": "mistral-7b-instruct",
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"mistralai/Mixtral-8x7B-Instruct-v0.1": "mixtral-8x7b-instruct",
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"codellama/CodeLlama-70b-Instruct-hf": "codellama-70b-instruct",
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"llava-v1.5-7b": "llava-v1.5-7b-wrapper",
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"databricks/dbrx-instruct": "dbrx-instruct",
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"meta-llama/Meta-Llama-3-70B-Instruct": "llama-3-70b-instruct",
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"meta-llama/Meta-Llama-3-8B-Instruct": "llama-3-8b-instruct"
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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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"User-Agent": "Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:121.0) Gecko/20100101 Firefox/121.0",
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"Accept": "*/*",
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"Accept-Language": "de,en-US;q=0.7,en;q=0.3",
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"Accept-Encoding": "gzip, deflate, br",
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"Origin": cls.url,
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"Connection": "keep-alive",
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"Referer": f"{cls.url}/",
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"Sec-Fetch-Dest": "empty",
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"Sec-Fetch-Mode": "cors",
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"Sec-Fetch-Site": "same-site",
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"TE": "trailers",
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}
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async with StreamSession(headers=headers, proxies={"all": proxy}) 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.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())
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assert(await ws.receive_str() == "6")
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message_data = {
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"version": "2.5",
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"source": "default",
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"model": cls.get_model(model),
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"messages": messages
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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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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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break
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except:
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raise RuntimeError(f"Message: {message}")
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