from __future__ import annotations
import random
import json
from ..typing import AsyncResult, Messages
from ..requests import StreamSession, raise_for_status
from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
API_URL = "https://www.perplexity.ai/socket.io/"
WS_URL = "wss://www.perplexity.ai/socket.io/"
class PerplexityLabs(AsyncGeneratorProvider, ProviderModelMixin):
url = "https://labs.perplexity.ai"
working = True
default_model = "mixtral-8x7b-instruct"
models = [
"llama-3-sonar-large-32k-online", "llama-3-sonar-small-32k-online", "llama-3-sonar-large-32k-chat", "llama-3-sonar-small-32k-chat",
"dbrx-instruct", "claude-3-haiku-20240307", "llama-3-8b-instruct", "llama-3-70b-instruct", "codellama-70b-instruct", "mistral-7b-instruct",
"llava-v1.5-7b-wrapper", "llava-v1.6-34b", "mixtral-8x7b-instruct", "mixtral-8x22b-instruct", "mistral-medium", "gemma-2b-it", "gemma-7b-it",
"related"
]
model_aliases = {
"mistralai/Mistral-7B-Instruct-v0.1": "mistral-7b-instruct",
"mistralai/Mistral-7B-Instruct-v0.2": "mistral-7b-instruct",
"mistralai/Mixtral-8x7B-Instruct-v0.1": "mixtral-8x7b-instruct",
"codellama/CodeLlama-70b-Instruct-hf": "codellama-70b-instruct",
"llava-v1.5-7b": "llava-v1.5-7b-wrapper",
"databricks/dbrx-instruct": "dbrx-instruct",
"meta-llama/Meta-Llama-3-70B-Instruct": "llama-3-70b-instruct",
"meta-llama/Meta-Llama-3-8B-Instruct": "llama-3-8b-instruct"
}
@classmethod
async def create_async_generator(
cls,
model: str,
messages: Messages,
proxy: str = None,
**kwargs
) -> AsyncResult:
headers = {
"User-Agent": "Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:121.0) Gecko/20100101 Firefox/121.0",
"Accept": "*/*",
"Accept-Language": "de,en-US;q=0.7,en;q=0.3",
"Accept-Encoding": "gzip, deflate, br",
"Origin": cls.url,
"Connection": "keep-alive",
"Referer": f"{cls.url}/",
"Sec-Fetch-Dest": "empty",
"Sec-Fetch-Mode": "cors",
"Sec-Fetch-Site": "same-site",
"TE": "trailers",
}
async with StreamSession(headers=headers, proxies={"all": proxy}) as session:
t = format(random.getrandbits(32), "08x")
async with session.get(
f"{API_URL}?EIO=4&transport=polling&t={t}"
) as response:
await raise_for_status(response)
text = await response.text()
assert text.startswith("0")
sid = json.loads(text[1:])["sid"]
post_data = '40{"jwt":"anonymous-ask-user"}'
async with session.post(
f"{API_URL}?EIO=4&transport=polling&t={t}&sid={sid}",
data=post_data
) as response:
await raise_for_status(response)
assert await response.text() == "OK"
async with session.ws_connect(f"{WS_URL}?EIO=4&transport=websocket&sid={sid}", autoping=False) as ws:
await ws.send_str("2probe")
assert(await ws.receive_str() == "3probe")
await ws.send_str("5")
assert(await ws.receive_str())
assert(await ws.receive_str() == "6")
message_data = {
"version": "2.5",
"source": "default",
"model": cls.get_model(model),
"messages": messages
}
await ws.send_str("42" + json.dumps(["perplexity_labs", message_data]))
last_message = 0
while True:
message = await ws.receive_str()
if message == "2":
if last_message == 0:
raise RuntimeError("Unknown error")
await ws.send_str("3")
continue
try:
data = json.loads(message[2:])[1]
yield data["output"][last_message:]
last_message = len(data["output"])
if data["final"]:
break
except:
raise RuntimeError(f"Message: {message}")