gpt / gpt4free /g4f /Provider /PerplexityLabs.py
LoRDxdd's picture
Add gpt4free API for Hugging Face
a4b70d9
from __future__ import annotations
import random
import json
from ..typing import AsyncResult, Messages
from ..requests import StreamSession, raise_for_status
from ..errors import ResponseError
from ..providers.response import FinishReason, Sources
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):
label = "Perplexity Labs"
url = "https://labs.perplexity.ai"
working = True
active_by_default = True
default_model = "r1-1776"
models = [
default_model,
"sonar-pro",
"sonar",
"sonar-reasoning",
"sonar-reasoning-pro",
]
@classmethod
async def create_async_generator(
cls,
model: str,
messages: Messages,
proxy: str = None,
**kwargs
) -> AsyncResult:
headers = {
"Origin": cls.url,
"Referer": f"{cls.url}/",
}
async with StreamSession(headers=headers, proxy=proxy, impersonate="chrome") 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.get(
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()).startswith("40")
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() == "6")
format_messages = []
last_is_assistant = False
for message in messages:
if message["role"] == "assistant":
if last_is_assistant:
continue
last_is_assistant = True
else:
last_is_assistant = False
if isinstance(message["content"], str):
format_messages.append({
"role": message["role"],
"content": message["content"]
})
message_data = {
"version": "2.18",
"source": "default",
"model": model,
"messages": format_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:
if not message.startswith("42"):
continue
parsed_data = json.loads(message[2:])
message_type = parsed_data[0]
data = parsed_data[1]
# Handle error responses
if message_type.endswith("_query_progress") and data.get("status") == "failed":
error_message = data.get("text", "Unknown API error")
raise ResponseError(f"API Error: {error_message}\n")
# Handle normal responses
if "output" in data:
if last_message == 0 and model == cls.default_model:
yield "<think>"
yield data["output"][last_message:]
last_message = len(data["output"])
if data["final"]:
if data["citations"]:
yield Sources(data["citations"])
yield FinishReason("stop")
break
except ResponseError as e:
# Re-raise ResponseError directly
raise e
except Exception as e:
raise ResponseError(f"Error processing message: {message}") from e