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from __future__ import annotations
import asyncio
import json
import re
import uuid
from time import time
import aiohttp
from ..errors import RateLimitError
from ..typing import AsyncResult, Messages
from ..providers.response import JsonConversation, Reasoning, Usage
from ..requests import sse_stream
from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
from .helper import get_last_user_message
from .. import debug
class Qwen(AsyncGeneratorProvider, ProviderModelMixin):
"""
Provider for Qwen's chat service (chat.qwen.ai), with configurable
parameters (stream, enable_thinking) and print logs.
"""
url = "https://chat.qwen.ai"
working = True
active_by_default = True
supports_stream = True
supports_message_history = False
# Complete list of models, extracted from the API
models = [
"qwen3-max-preview",
"qwen3-235b-a22b",
"qwen3-coder-plus",
"qwen3-30b-a3b",
"qwen3-coder-30b-a3b-instruct",
"qwen-max-latest",
"qwen-plus-2025-01-25",
"qwq-32b",
"qwen-turbo-2025-02-11",
"qwen2.5-omni-7b",
"qvq-72b-preview-0310",
"qwen2.5-vl-32b-instruct",
"qwen2.5-14b-instruct-1m",
"qwen2.5-coder-32b-instruct",
"qwen2.5-72b-instruct",
]
default_model = "qwen3-235b-a22b"
_midtoken: str = None
_midtoken_uses: int = 0
@classmethod
async def create_async_generator(
cls,
model: str,
messages: Messages,
conversation: JsonConversation = None,
proxy: str = None,
timeout: int = 120,
stream: bool = True,
enable_thinking: bool = True,
**kwargs
) -> AsyncResult:
model_name = cls.get_model(model)
headers = {
'User-Agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/138.0.0.0 Safari/537.36',
'Accept': '*/*',
'Accept-Language': 'en-US,en;q=0.5',
'Origin': cls.url,
'Referer': f'{cls.url}/',
'Content-Type': 'application/json',
'Sec-Fetch-Dest': 'empty',
'Sec-Fetch-Mode': 'cors',
'Sec-Fetch-Site': 'same-origin',
'Connection': 'keep-alive',
'Authorization': 'Bearer',
'Source': 'web'
}
prompt = get_last_user_message(messages)
async with aiohttp.ClientSession(headers=headers) as session:
for attempt in range(5):
try:
if not cls._midtoken:
debug.log("[Qwen] INFO: No active midtoken. Fetching a new one...")
async with session.get('https://sg-wum.alibaba.com/w/wu.json', proxy=proxy) as r:
r.raise_for_status()
text = await r.text()
match = re.search(r"(?:umx\.wu|__fycb)\('([^']+)'\)", text)
if not match:
raise RuntimeError("Failed to extract bx-umidtoken.")
cls._midtoken = match.group(1)
cls._midtoken_uses = 1
debug.log(f"[Qwen] INFO: New midtoken obtained. Use count: {cls._midtoken_uses}. Midtoken: {cls._midtoken}")
else:
cls._midtoken_uses += 1
debug.log(f"[Qwen] INFO: Reusing midtoken. Use count: {cls._midtoken_uses}")
req_headers = session.headers.copy()
req_headers['bx-umidtoken'] = cls._midtoken
req_headers['bx-v'] = '2.5.31'
message_id = str(uuid.uuid4())
parent_id = None
if conversation is None:
chat_payload = {
"title": "New Chat",
"models": [model_name],
"chat_mode": "normal",
"chat_type": "t2t",
"timestamp": int(time() * 1000)
}
async with session.post(
f'{cls.url}/api/v2/chats/new', json=chat_payload, headers=req_headers, proxy=proxy
) as resp:
resp.raise_for_status()
data = await resp.json()
if not (data.get('success') and data['data'].get('id')):
raise RuntimeError(f"Failed to create chat: {data}")
conversation = JsonConversation(
chat_id=data['data']['id'],
cookies={key: value for key, value in resp.cookies.items()},
parent_id=None
)
msg_payload = {
"stream": stream,
"incremental_output": stream,
"chat_id": conversation.chat_id,
"chat_mode": "normal",
"model": model_name,
"parent_id": conversation.parent_id,
"messages": [
{
"fid": message_id,
"parentId": conversation.parent_id,
"childrenIds": [],
"role": "user",
"content": prompt,
"user_action": "chat",
"files": [],
"models": [model_name],
"chat_type": "t2t",
"feature_config": {
"thinking_enabled": enable_thinking,
"output_schema": "phase",
"thinking_budget": 81920
},
"extra": {
"meta": {
"subChatType": "t2t"
}
},
"sub_chat_type": "t2t",
"parent_id": None
}
]
}
async with session.post(
f'{cls.url}/api/v2/chat/completions?chat_id={conversation.chat_id}', json=msg_payload,
headers=req_headers, proxy=proxy, timeout=timeout, cookies=conversation.cookies
) as resp:
first_line = await resp.content.readline()
line_str = first_line.decode().strip()
if line_str.startswith('{'):
data = json.loads(line_str)
if data.get("data", {}).get("code"):
raise RuntimeError(f"Response: {data}")
conversation.parent_id = data.get("response.created", {}).get("response_id")
yield conversation
thinking_started = False
usage = None
async for chunk in sse_stream(resp):
try:
usage = chunk.get("usage", usage)
choices = chunk.get("choices", [])
if not choices: continue
delta = choices[0].get("delta", {})
phase = delta.get("phase")
content = delta.get("content")
if phase == "think" and not thinking_started:
thinking_started = True
elif phase == "answer" and thinking_started:
thinking_started = False
if content:
yield Reasoning(content) if thinking_started else content
except (json.JSONDecodeError, KeyError, IndexError):
continue
if usage:
yield Usage(**usage)
return
except (aiohttp.ClientResponseError, RuntimeError) as e:
is_rate_limit = (isinstance(e, aiohttp.ClientResponseError) and e.status == 429) or \
("RateLimited" in str(e))
if is_rate_limit:
debug.log(f"[Qwen] WARNING: Rate limit detected (attempt {attempt + 1}/5). Invalidating current midtoken.")
cls._midtoken = None
cls._midtoken_uses = 0
await asyncio.sleep(2)
continue
else:
raise e
raise RateLimitError("The Qwen provider reached the request limit after 5 attempts.")
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