ChatQwQ integration

import getpass
import os

if not os.getenv("DASHSCOPE_API_KEY"):
    os.environ["DASHSCOPE_API_KEY"] = getpass.getpass("Enter your DashScope API key: ")

pip install -qU "langchain-qwq>=0.4.0"

from langchain_qwq import ChatQwQ

llm = ChatQwQ(
    model="qwen-plus-2025-12-01",
    extra_body={"enable_thinking": True},
    max_tokens=3_000,
    timeout=None,
    max_retries=2,
)

from langchain_qwq import ChatQwen

qwen = ChatQwen(model="qwen-plus-2025-12-01", enable_thinking=True)
response = qwen.invoke("What is 17 multiplied by 19?")
print(response.content_blocks)

messages = [
    (
        "system",
        "You are a helpful assistant that translates English to French. "
        "Translate the user sentence.",
    ),
    ("human", "I love programming."),
]
ai_msg = llm.invoke(messages)
print(ai_msg.content_blocks)

print(ai_msg.additional_kwargs.get("reasoning_content", ""))

for chunk in llm.stream("What is 17 multiplied by 19?"):
    print(chunk.content_blocks)

import asyncio

from langchain_qwq import ChatQwQ


async def main() -> None:
    model = ChatQwQ(
        model="qwen-plus-2025-12-01",
        extra_body={"enable_thinking": True},
    )
    response = await model.ainvoke("What is 17 multiplied by 19?")
    print(response.content_blocks)


asyncio.run(main())

from langchain.tools import tool
from langchain_qwq import ChatQwQ


@tool
def multiply(first_int: int, second_int: int) -> int:
    """Multiply two integers together."""
    return first_int * second_int


llm = ChatQwQ(
    model="qwen-plus-2025-12-01",
    extra_body={"enable_thinking": True},
)
llm_with_tools = llm.bind_tools([multiply])
msg = llm_with_tools.invoke("Use multiply to calculate 5 times forty two.")
print(msg.tool_calls)

from langchain_qwq import ChatQwQ
from pydantic import BaseModel


class Person(BaseModel):
    name: str
    age: int


model = ChatQwQ(
    model="qwen-plus-2025-12-01",
    extra_body={"enable_thinking": True},
)
structured = model.with_structured_output(Person, method="function_calling")
person = structured.invoke("Extract the person: Alice is 30 years old.")
print(person)