如何在异步环境中使用回调
如果您计划使用异步API，建议使用并扩展AsyncCallbackHandler以避免阻塞事件。
warning
如果你在使用异步方法运行你的LLM / Chain / Tool / Agent时使用同步的CallbackHandler，它仍然可以工作。然而，在底层，它将会通过run_in_executor调用，如果你的CallbackHandler不是线程安全的，这可能会导致问题。
danger
如果你使用的是python<=3.10，你需要在从RunnableLambda、RunnableGenerator或@tool中调用其他runnable时，记得传播config或callbacks。如果你不这样做，回调将不会传播到被调用的子runnable中。
import asyncio
from typing import Any, Dict, List
from langchain_anthropic import ChatAnthropic
from langchain_core.callbacks import AsyncCallbackHandler, BaseCallbackHandler
from langchain_core.messages import HumanMessage
from langchain_core.outputs import LLMResult
class MyCustomSyncHandler(BaseCallbackHandler):
def on_llm_new_token(self, token: str, **kwargs) -> None:
print(f"Sync handler being called in a `thread_pool_executor`: token: {token}")
class MyCustomAsyncHandler(AsyncCallbackHandler):
"""Async callback handler that can be used to handle callbacks from langchain."""
async def on_llm_start(
self, serialized: Dict[str, Any], prompts: List[str], **kwargs: Any
) -> None:
"""Run when chain starts running."""
print("zzzz....")
await asyncio.sleep(0.3)
class_name = serialized["name"]
print("Hi! I just woke up. Your llm is starting")
async def on_llm_end(self, response: LLMResult, **kwargs: Any) -> None:
"""Run when chain ends running."""
print("zzzz....")
await asyncio.sleep(0.3)
print("Hi! I just woke up. Your llm is ending")
# To enable streaming, we pass in `streaming=True` to the ChatModel constructor
# Additionally, we pass in a list with our custom handler
chat = ChatAnthropic(
model="claude-3-sonnet-20240229",
max_tokens=25,
streaming=True,
callbacks=[MyCustomSyncHandler(), MyCustomAsyncHandler()],
)
await chat.agenerate([[HumanMessage(content="Tell me a joke")]])
zzzz....
Hi! I just woke up. Your llm is starting
Sync handler being called in a `thread_pool_executor`: token: Here
Sync handler being called in a `thread_pool_executor`: token: 's
Sync handler being called in a `thread_pool_executor`: token: a
Sync handler being called in a `thread_pool_executor`: token: little
Sync handler being called in a `thread_pool_executor`: token: joke
Sync handler being called in a `thread_pool_executor`: token: for
Sync handler being called in a `thread_pool_executor`: token: you
Sync handler being called in a `thread_pool_executor`: token: :
Sync handler being called in a `thread_pool_executor`: token:
Why
Sync handler being called in a `thread_pool_executor`: token: can
Sync handler being called in a `thread_pool_executor`: token: 't
Sync handler being called in a `thread_pool_executor`: token: a
Sync handler being called in a `thread_pool_executor`: token: bicycle
Sync handler being called in a `thread_pool_executor`: token: stan
Sync handler being called in a `thread_pool_executor`: token: d up
Sync handler being called in a `thread_pool_executor`: token: by
Sync handler being called in a `thread_pool_executor`: token: itself
Sync handler being called in a `thread_pool_executor`: token: ?
Sync handler being called in a `thread_pool_executor`: token: Because
Sync handler being called in a `thread_pool_executor`: token: it
Sync handler being called in a `thread_pool_executor`: token: 's
Sync handler being called in a `thread_pool_executor`: token: two
Sync handler being called in a `thread_pool_executor`: token: -
Sync handler being called in a `thread_pool_executor`: token: tire
zzzz....
Hi! I just woke up. Your llm is ending
LLMResult(generations=[[ChatGeneration(text="Here's a little joke for you:\n\nWhy can't a bicycle stand up by itself? Because it's two-tire", message=AIMessage(content="Here's a little joke for you:\n\nWhy can't a bicycle stand up by itself? Because it's two-tire", id='run-8afc89e8-02c0-4522-8480-d96977240bd4-0'))]], llm_output={}, run=[RunInfo(run_id=UUID('8afc89e8-02c0-4522-8480-d96977240bd4'))])
下一步
你现在已经学会了如何创建自己的自定义回调处理程序。
接下来，查看本节中的其他操作指南，例如如何将回调附加到可运行对象。