from __future__ import annotations
import asyncio
import functools
import logging
import uuid
from abc import ABC, abstractmethod
from collections.abc import AsyncGenerator, Coroutine, Generator, Sequence
from concurrent.futures import ThreadPoolExecutor
from contextlib import asynccontextmanager, contextmanager
from contextvars import copy_context
from typing import (
TYPE_CHECKING,
Any,
Callable,
Optional,
TypeVar,
Union,
cast,
)
from uuid import UUID
from langsmith.run_helpers import get_tracing_context
from tenacity import RetryCallState
from langchain_core.callbacks.base import (
BaseCallbackHandler,
BaseCallbackManager,
Callbacks,
ChainManagerMixin,
LLMManagerMixin,
RetrieverManagerMixin,
RunManagerMixin,
ToolManagerMixin,
)
from langchain_core.callbacks.stdout import StdOutCallbackHandler
from langchain_core.messages import BaseMessage, get_buffer_string
from langchain_core.tracers.schemas import Run
from langchain_core.utils.env import env_var_is_set
if TYPE_CHECKING:
from langchain_core.agents import AgentAction, AgentFinish
from langchain_core.documents import Document
from langchain_core.outputs import ChatGenerationChunk, GenerationChunk, LLMResult
from langchain_core.runnables.config import RunnableConfig
logger = logging.getLogger(__name__)
def _get_debug() -> bool:
from langchain_core.globals import get_debug
return get_debug()
[docs]
@contextmanager
def trace_as_chain_group(
group_name: str,
callback_manager: Optional[CallbackManager] = None,
*,
inputs: Optional[dict[str, Any]] = None,
project_name: Optional[str] = None,
example_id: Optional[Union[str, UUID]] = None,
run_id: Optional[UUID] = None,
tags: Optional[list[str]] = None,
metadata: Optional[dict[str, Any]] = None,
) -> Generator[CallbackManagerForChainGroup, None, None]:
"""Get a callback manager for a chain group in a context manager.
Useful for grouping different calls together as a single run even if
they aren't composed in a single chain.
Args:
group_name (str): The name of the chain group.
callback_manager (CallbackManager, optional): The callback manager to use.
Defaults to None.
inputs (Dict[str, Any], optional): The inputs to the chain group.
Defaults to None.
project_name (str, optional): The name of the project.
Defaults to None.
example_id (str or UUID, optional): The ID of the example.
Defaults to None.
run_id (UUID, optional): The ID of the run.
tags (List[str], optional): The inheritable tags to apply to all runs.
Defaults to None.
metadata (Dict[str, Any], optional): The metadata to apply to all runs.
Defaults to None.
Note: must have LANGCHAIN_TRACING_V2 env var set to true to see the trace in LangSmith.
Returns:
CallbackManagerForChainGroup: The callback manager for the chain group.
Example:
.. code-block:: python
llm_input = "Foo"
with trace_as_chain_group("group_name", inputs={"input": llm_input}) as manager:
# Use the callback manager for the chain group
res = llm.invoke(llm_input, {"callbacks": manager})
manager.on_chain_end({"output": res})
""" # noqa: E501
from langchain_core.tracers.context import _get_trace_callbacks
cb = _get_trace_callbacks(
project_name, example_id, callback_manager=callback_manager
)
cm = CallbackManager.configure(
inheritable_callbacks=cb,
inheritable_tags=tags,
inheritable_metadata=metadata,
)
run_manager = cm.on_chain_start({"name": group_name}, inputs or {}, run_id=run_id)
child_cm = run_manager.get_child()
group_cm = CallbackManagerForChainGroup(
child_cm.handlers,
child_cm.inheritable_handlers,
child_cm.parent_run_id,
parent_run_manager=run_manager,
tags=child_cm.tags,
inheritable_tags=child_cm.inheritable_tags,
metadata=child_cm.metadata,
inheritable_metadata=child_cm.inheritable_metadata,
)
try:
yield group_cm
except Exception as e:
if not group_cm.ended:
run_manager.on_chain_error(e)
raise e
else:
if not group_cm.ended:
run_manager.on_chain_end({})
[docs]
@asynccontextmanager
async def atrace_as_chain_group(
group_name: str,
callback_manager: Optional[AsyncCallbackManager] = None,
*,
inputs: Optional[dict[str, Any]] = None,
project_name: Optional[str] = None,
example_id: Optional[Union[str, UUID]] = None,
run_id: Optional[UUID] = None,
tags: Optional[list[str]] = None,
metadata: Optional[dict[str, Any]] = None,
) -> AsyncGenerator[AsyncCallbackManagerForChainGroup, None]:
"""Get an async callback manager for a chain group in a context manager.
Useful for grouping different async calls together as a single run even if
they aren't composed in a single chain.
Args:
group_name (str): The name of the chain group.
callback_manager (AsyncCallbackManager, optional): The async callback manager to use,
which manages tracing and other callback behavior. Defaults to None.
inputs (Dict[str, Any], optional): The inputs to the chain group.
Defaults to None.
project_name (str, optional): The name of the project.
Defaults to None.
example_id (str or UUID, optional): The ID of the example.
Defaults to None.
run_id (UUID, optional): The ID of the run.
tags (List[str], optional): The inheritable tags to apply to all runs.
Defaults to None.
metadata (Dict[str, Any], optional): The metadata to apply to all runs.
Defaults to None.
Returns:
AsyncCallbackManager: The async callback manager for the chain group.
Note: must have LANGCHAIN_TRACING_V2 env var set to true to see the trace in LangSmith.
Example:
.. code-block:: python
llm_input = "Foo"
async with atrace_as_chain_group("group_name", inputs={"input": llm_input}) as manager:
# Use the async callback manager for the chain group
res = await llm.ainvoke(llm_input, {"callbacks": manager})
await manager.on_chain_end({"output": res})
""" # noqa: E501
from langchain_core.tracers.context import _get_trace_callbacks
cb = _get_trace_callbacks(
project_name, example_id, callback_manager=callback_manager
)
cm = AsyncCallbackManager.configure(
inheritable_callbacks=cb, inheritable_tags=tags, inheritable_metadata=metadata
)
run_manager = await cm.on_chain_start(
{"name": group_name}, inputs or {}, run_id=run_id
)
child_cm = run_manager.get_child()
group_cm = AsyncCallbackManagerForChainGroup(
child_cm.handlers,
child_cm.inheritable_handlers,
child_cm.parent_run_id,
parent_run_manager=run_manager,
tags=child_cm.tags,
inheritable_tags=child_cm.inheritable_tags,
metadata=child_cm.metadata,
inheritable_metadata=child_cm.inheritable_metadata,
)
try:
yield group_cm
except Exception as e:
if not group_cm.ended:
await run_manager.on_chain_error(e)
raise e
else:
if not group_cm.ended:
await run_manager.on_chain_end({})
Func = TypeVar("Func", bound=Callable)
[docs]
def shielded(func: Func) -> Func:
"""
Makes so an awaitable method is always shielded from cancellation.
Args:
func (Callable): The function to shield.
Returns:
Callable: The shielded function
"""
@functools.wraps(func)
async def wrapped(*args: Any, **kwargs: Any) -> Any:
return await asyncio.shield(func(*args, **kwargs))
return cast(Func, wrapped)
[docs]
def handle_event(
handlers: list[BaseCallbackHandler],
event_name: str,
ignore_condition_name: Optional[str],
*args: Any,
**kwargs: Any,
) -> None:
"""Generic event handler for CallbackManager.
Note: This function is used by LangServe to handle events.
Args:
handlers: The list of handlers that will handle the event.
event_name: The name of the event (e.g., "on_llm_start").
ignore_condition_name: Name of the attribute defined on handler
that if True will cause the handler to be skipped for the given event.
*args: The arguments to pass to the event handler.
**kwargs: The keyword arguments to pass to the event handler
"""
coros: list[Coroutine[Any, Any, Any]] = []
try:
message_strings: Optional[list[str]] = None
for handler in handlers:
try:
if ignore_condition_name is None or not getattr(
handler, ignore_condition_name
):
event = getattr(handler, event_name)(*args, **kwargs)
if asyncio.iscoroutine(event):
coros.append(event)
except NotImplementedError as e:
if event_name == "on_chat_model_start":
if message_strings is None:
message_strings = [get_buffer_string(m) for m in args[1]]
handle_event(
[handler],
"on_llm_start",
"ignore_llm",
args[0],
message_strings,
*args[2:],
**kwargs,
)
else:
handler_name = handler.__class__.__name__
logger.warning(
f"NotImplementedError in {handler_name}.{event_name}"
f" callback: {repr(e)}"
)
except Exception as e:
logger.warning(
f"Error in {handler.__class__.__name__}.{event_name} callback:"
f" {repr(e)}"
)
if handler.raise_error:
raise e
finally:
if coros:
try:
# Raises RuntimeError if there is no current event loop.
asyncio.get_running_loop()
loop_running = True
except RuntimeError:
loop_running = False
if loop_running:
# If we try to submit this coroutine to the running loop
# we end up in a deadlock, as we'd have gotten here from a
# running coroutine, which we cannot interrupt to run this one.
# The solution is to create a new loop in a new thread.
with ThreadPoolExecutor(1) as executor:
executor.submit(
cast(Callable, copy_context().run), _run_coros, coros
).result()
else:
_run_coros(coros)
def _run_coros(coros: list[Coroutine[Any, Any, Any]]) -> None:
if hasattr(asyncio, "Runner"):
# Python 3.11+
# Run the coroutines in a new event loop, taking care to
# - install signal handlers
# - run pending tasks scheduled by `coros`
# - close asyncgens and executors
# - close the loop
with asyncio.Runner() as runner:
# Run the coroutine, get the result
for coro in coros:
try:
runner.run(coro)
except Exception as e:
logger.warning(f"Error in callback coroutine: {repr(e)}")
# Run pending tasks scheduled by coros until they are all done
while pending := asyncio.all_tasks(runner.get_loop()):
runner.run(asyncio.wait(pending))
else:
# Before Python 3.11 we need to run each coroutine in a new event loop
# as the Runner api is not available.
for coro in coros:
try:
asyncio.run(coro)
except Exception as e:
logger.warning(f"Error in callback coroutine: {repr(e)}")
async def _ahandle_event_for_handler(
handler: BaseCallbackHandler,
event_name: str,
ignore_condition_name: Optional[str],
*args: Any,
**kwargs: Any,
) -> None:
try:
if ignore_condition_name is None or not getattr(handler, ignore_condition_name):
event = getattr(handler, event_name)
if asyncio.iscoroutinefunction(event):
await event(*args, **kwargs)
else:
if handler.run_inline:
event(*args, **kwargs)
else:
await asyncio.get_event_loop().run_in_executor(
None,
cast(
Callable,
functools.partial(
copy_context().run, event, *args, **kwargs
),
),
)
except NotImplementedError as e:
if event_name == "on_chat_model_start":
message_strings = [get_buffer_string(m) for m in args[1]]
await _ahandle_event_for_handler(
handler,
"on_llm_start",
"ignore_llm",
args[0],
message_strings,
*args[2:],
**kwargs,
)
else:
logger.warning(
f"NotImplementedError in {handler.__class__.__name__}.{event_name}"
f" callback: {repr(e)}"
)
except Exception as e:
logger.warning(
f"Error in {handler.__class__.__name__}.{event_name} callback:"
f" {repr(e)}"
)
if handler.raise_error:
raise e
[docs]
async def ahandle_event(
handlers: list[BaseCallbackHandler],
event_name: str,
ignore_condition_name: Optional[str],
*args: Any,
**kwargs: Any,
) -> None:
"""Async generic event handler for AsyncCallbackManager.
Note: This function is used by LangServe to handle events.
Args:
handlers: The list of handlers that will handle the event.
event_name: The name of the event (e.g., "on_llm_start").
ignore_condition_name: Name of the attribute defined on handler
that if True will cause the handler to be skipped for the given event.
*args: The arguments to pass to the event handler.
**kwargs: The keyword arguments to pass to the event handler.
"""
for handler in [h for h in handlers if h.run_inline]:
await _ahandle_event_for_handler(
handler, event_name, ignore_condition_name, *args, **kwargs
)
await asyncio.gather(
*(
_ahandle_event_for_handler(
handler,
event_name,
ignore_condition_name,
*args,
**kwargs,
)
for handler in handlers
if not handler.run_inline
)
)
BRM = TypeVar("BRM", bound="BaseRunManager")
[docs]
class BaseRunManager(RunManagerMixin):
"""Base class for run manager (a bound callback manager)."""
[docs]
def __init__(
self,
*,
run_id: UUID,
handlers: list[BaseCallbackHandler],
inheritable_handlers: list[BaseCallbackHandler],
parent_run_id: Optional[UUID] = None,
tags: Optional[list[str]] = None,
inheritable_tags: Optional[list[str]] = None,
metadata: Optional[dict[str, Any]] = None,
inheritable_metadata: Optional[dict[str, Any]] = None,
) -> None:
"""Initialize the run manager.
Args:
run_id (UUID): The ID of the run.
handlers (List[BaseCallbackHandler]): The list of handlers.
inheritable_handlers (List[BaseCallbackHandler]):
The list of inheritable handlers.
parent_run_id (UUID, optional): The ID of the parent run.
Defaults to None.
tags (Optional[List[str]]): The list of tags. Defaults to None.
inheritable_tags (Optional[List[str]]): The list of inheritable tags.
Defaults to None.
metadata (Optional[Dict[str, Any]]): The metadata.
Defaults to None.
inheritable_metadata (Optional[Dict[str, Any]]): The inheritable metadata.
Defaults to None.
"""
self.run_id = run_id
self.handlers = handlers
self.inheritable_handlers = inheritable_handlers
self.parent_run_id = parent_run_id
self.tags = tags or []
self.inheritable_tags = inheritable_tags or []
self.metadata = metadata or {}
self.inheritable_metadata = inheritable_metadata or {}
[docs]
@classmethod
def get_noop_manager(cls: type[BRM]) -> BRM:
"""Return a manager that doesn't perform any operations.
Returns:
BaseRunManager: The noop manager.
"""
return cls(
run_id=uuid.uuid4(),
handlers=[],
inheritable_handlers=[],
tags=[],
inheritable_tags=[],
metadata={},
inheritable_metadata={},
)
[docs]
class RunManager(BaseRunManager):
"""Sync Run Manager."""
[docs]
def on_text(
self,
text: str,
**kwargs: Any,
) -> Any:
"""Run when a text is received.
Args:
text (str): The received text.
**kwargs (Any): Additional keyword arguments.
Returns:
Any: The result of the callback.
"""
handle_event(
self.handlers,
"on_text",
None,
text,
run_id=self.run_id,
parent_run_id=self.parent_run_id,
tags=self.tags,
**kwargs,
)
[docs]
def on_retry(
self,
retry_state: RetryCallState,
**kwargs: Any,
) -> None:
"""Run when a retry is received.
Args:
retry_state (RetryCallState): The retry state.
**kwargs (Any): Additional keyword arguments.
"""
handle_event(
self.handlers,
"on_retry",
"ignore_retry",
retry_state,
run_id=self.run_id,
parent_run_id=self.parent_run_id,
tags=self.tags,
**kwargs,
)
[docs]
class ParentRunManager(RunManager):
"""Sync Parent Run Manager."""
[docs]
def get_child(self, tag: Optional[str] = None) -> CallbackManager:
"""Get a child callback manager.
Args:
tag (str, optional): The tag for the child callback manager.
Defaults to None.
Returns:
CallbackManager: The child callback manager.
"""
manager = CallbackManager(handlers=[], parent_run_id=self.run_id)
manager.set_handlers(self.inheritable_handlers)
manager.add_tags(self.inheritable_tags)
manager.add_metadata(self.inheritable_metadata)
if tag is not None:
manager.add_tags([tag], False)
return manager
[docs]
class AsyncRunManager(BaseRunManager, ABC):
"""Async Run Manager."""
[docs]
@abstractmethod
def get_sync(self) -> RunManager:
"""Get the equivalent sync RunManager.
Returns:
RunManager: The sync RunManager.
"""
[docs]
async def on_text(
self,
text: str,
**kwargs: Any,
) -> Any:
"""Run when a text is received.
Args:
text (str): The received text.
**kwargs (Any): Additional keyword arguments.
Returns:
Any: The result of the callback.
"""
await ahandle_event(
self.handlers,
"on_text",
None,
text,
run_id=self.run_id,
parent_run_id=self.parent_run_id,
tags=self.tags,
**kwargs,
)
[docs]
async def on_retry(
self,
retry_state: RetryCallState,
**kwargs: Any,
) -> None:
"""Async run when a retry is received.
Args:
retry_state (RetryCallState): The retry state.
**kwargs (Any): Additional keyword arguments.
"""
await ahandle_event(
self.handlers,
"on_retry",
"ignore_retry",
retry_state,
run_id=self.run_id,
parent_run_id=self.parent_run_id,
tags=self.tags,
**kwargs,
)
[docs]
class AsyncParentRunManager(AsyncRunManager):
"""Async Parent Run Manager."""
[docs]
def get_child(self, tag: Optional[str] = None) -> AsyncCallbackManager:
"""Get a child callback manager.
Args:
tag (str, optional): The tag for the child callback manager.
Defaults to None.
Returns:
AsyncCallbackManager: The child callback manager.
"""
manager = AsyncCallbackManager(handlers=[], parent_run_id=self.run_id)
manager.set_handlers(self.inheritable_handlers)
manager.add_tags(self.inheritable_tags)
manager.add_metadata(self.inheritable_metadata)
if tag is not None:
manager.add_tags([tag], False)
return manager
[docs]
class CallbackManagerForLLMRun(RunManager, LLMManagerMixin):
"""Callback manager for LLM run."""
[docs]
def on_llm_new_token(
self,
token: str,
*,
chunk: Optional[Union[GenerationChunk, ChatGenerationChunk]] = None,
**kwargs: Any,
) -> None:
"""Run when LLM generates a new token.
Args:
token (str): The new token.
chunk (Optional[Union[GenerationChunk, ChatGenerationChunk]], optional):
The chunk. Defaults to None.
**kwargs (Any): Additional keyword arguments.
"""
handle_event(
self.handlers,
"on_llm_new_token",
"ignore_llm",
token=token,
run_id=self.run_id,
parent_run_id=self.parent_run_id,
tags=self.tags,
chunk=chunk,
**kwargs,
)
[docs]
def on_llm_end(self, response: LLMResult, **kwargs: Any) -> None:
"""Run when LLM ends running.
Args:
response (LLMResult): The LLM result.
**kwargs (Any): Additional keyword arguments.
"""
handle_event(
self.handlers,
"on_llm_end",
"ignore_llm",
response,
run_id=self.run_id,
parent_run_id=self.parent_run_id,
tags=self.tags,
**kwargs,
)
[docs]
def on_llm_error(
self,
error: BaseException,
**kwargs: Any,
) -> None:
"""Run when LLM errors.
Args:
error (Exception or KeyboardInterrupt): The error.
kwargs (Any): Additional keyword arguments.
- response (LLMResult): The response which was generated before
the error occurred.
"""
handle_event(
self.handlers,
"on_llm_error",
"ignore_llm",
error,
run_id=self.run_id,
parent_run_id=self.parent_run_id,
tags=self.tags,
**kwargs,
)
[docs]
class AsyncCallbackManagerForLLMRun(AsyncRunManager, LLMManagerMixin):
"""Async callback manager for LLM run."""
[docs]
def get_sync(self) -> CallbackManagerForLLMRun:
"""Get the equivalent sync RunManager.
Returns:
CallbackManagerForLLMRun: The sync RunManager.
"""
return CallbackManagerForLLMRun(
run_id=self.run_id,
handlers=self.handlers,
inheritable_handlers=self.inheritable_handlers,
parent_run_id=self.parent_run_id,
tags=self.tags,
inheritable_tags=self.inheritable_tags,
metadata=self.metadata,
inheritable_metadata=self.inheritable_metadata,
)
[docs]
@shielded
async def on_llm_new_token(
self,
token: str,
*,
chunk: Optional[Union[GenerationChunk, ChatGenerationChunk]] = None,
**kwargs: Any,
) -> None:
"""Run when LLM generates a new token.
Args:
token (str): The new token.
chunk (Optional[Union[GenerationChunk, ChatGenerationChunk]], optional):
The chunk. Defaults to None.
**kwargs (Any): Additional keyword arguments.
"""
await ahandle_event(
self.handlers,
"on_llm_new_token",
"ignore_llm",
token,
chunk=chunk,
run_id=self.run_id,
parent_run_id=self.parent_run_id,
tags=self.tags,
**kwargs,
)
[docs]
@shielded
async def on_llm_end(self, response: LLMResult, **kwargs: Any) -> None:
"""Run when LLM ends running.
Args:
response (LLMResult): The LLM result.
**kwargs (Any): Additional keyword arguments.
"""
await ahandle_event(
self.handlers,
"on_llm_end",
"ignore_llm",
response,
run_id=self.run_id,
parent_run_id=self.parent_run_id,
tags=self.tags,
**kwargs,
)
[docs]
@shielded
async def on_llm_error(
self,
error: BaseException,
**kwargs: Any,
) -> None:
"""Run when LLM errors.
Args:
error (Exception or KeyboardInterrupt): The error.
kwargs (Any): Additional keyword arguments.
- response (LLMResult): The response which was generated before
the error occurred.
"""
await ahandle_event(
self.handlers,
"on_llm_error",
"ignore_llm",
error,
run_id=self.run_id,
parent_run_id=self.parent_run_id,
tags=self.tags,
**kwargs,
)
[docs]
class CallbackManagerForChainRun(ParentRunManager, ChainManagerMixin):
"""Callback manager for chain run."""
[docs]
def on_chain_end(self, outputs: Union[dict[str, Any], Any], **kwargs: Any) -> None:
"""Run when chain ends running.
Args:
outputs (Union[Dict[str, Any], Any]): The outputs of the chain.
**kwargs (Any): Additional keyword arguments.
"""
handle_event(
self.handlers,
"on_chain_end",
"ignore_chain",
outputs,
run_id=self.run_id,
parent_run_id=self.parent_run_id,
tags=self.tags,
**kwargs,
)
[docs]
def on_chain_error(
self,
error: BaseException,
**kwargs: Any,
) -> None:
"""Run when chain errors.
Args:
error (Exception or KeyboardInterrupt): The error.
**kwargs (Any): Additional keyword arguments.
"""
handle_event(
self.handlers,
"on_chain_error",
"ignore_chain",
error,
run_id=self.run_id,
parent_run_id=self.parent_run_id,
tags=self.tags,
**kwargs,
)
[docs]
def on_agent_action(self, action: AgentAction, **kwargs: Any) -> Any:
"""Run when agent action is received.
Args:
action (AgentAction): The agent action.
**kwargs (Any): Additional keyword arguments.
Returns:
Any: The result of the callback.
"""
handle_event(
self.handlers,
"on_agent_action",
"ignore_agent",
action,
run_id=self.run_id,
parent_run_id=self.parent_run_id,
tags=self.tags,
**kwargs,
)
[docs]
def on_agent_finish(self, finish: AgentFinish, **kwargs: Any) -> Any:
"""Run when agent finish is received.
Args:
finish (AgentFinish): The agent finish.
**kwargs (Any): Additional keyword arguments.
Returns:
Any: The result of the callback.
"""
handle_event(
self.handlers,
"on_agent_finish",
"ignore_agent",
finish,
run_id=self.run_id,
parent_run_id=self.parent_run_id,
tags=self.tags,
**kwargs,
)
[docs]
class AsyncCallbackManagerForChainRun(AsyncParentRunManager, ChainManagerMixin):
"""Async callback manager for chain run."""
[docs]
def get_sync(self) -> CallbackManagerForChainRun:
"""Get the equivalent sync RunManager.
Returns:
CallbackManagerForChainRun: The sync RunManager.
"""
return CallbackManagerForChainRun(
run_id=self.run_id,
handlers=self.handlers,
inheritable_handlers=self.inheritable_handlers,
parent_run_id=self.parent_run_id,
tags=self.tags,
inheritable_tags=self.inheritable_tags,
metadata=self.metadata,
inheritable_metadata=self.inheritable_metadata,
)
[docs]
@shielded
async def on_chain_end(
self, outputs: Union[dict[str, Any], Any], **kwargs: Any
) -> None:
"""Run when a chain ends running.
Args:
outputs (Union[Dict[str, Any], Any]): The outputs of the chain.
**kwargs (Any): Additional keyword arguments.
"""
await ahandle_event(
self.handlers,
"on_chain_end",
"ignore_chain",
outputs,
run_id=self.run_id,
parent_run_id=self.parent_run_id,
tags=self.tags,
**kwargs,
)
[docs]
@shielded
async def on_chain_error(
self,
error: BaseException,
**kwargs: Any,
) -> None:
"""Run when chain errors.
Args:
error (Exception or KeyboardInterrupt): The error.
**kwargs (Any): Additional keyword arguments.
"""
await ahandle_event(
self.handlers,
"on_chain_error",
"ignore_chain",
error,
run_id=self.run_id,
parent_run_id=self.parent_run_id,
tags=self.tags,
**kwargs,
)
[docs]
@shielded
async def on_agent_action(self, action: AgentAction, **kwargs: Any) -> Any:
"""Run when agent action is received.
Args:
action (AgentAction): The agent action.
**kwargs (Any): Additional keyword arguments.
Returns:
Any: The result of the callback.
"""
await ahandle_event(
self.handlers,
"on_agent_action",
"ignore_agent",
action,
run_id=self.run_id,
parent_run_id=self.parent_run_id,
tags=self.tags,
**kwargs,
)
[docs]
@shielded
async def on_agent_finish(self, finish: AgentFinish, **kwargs: Any) -> Any:
"""Run when agent finish is received.
Args:
finish (AgentFinish): The agent finish.
**kwargs (Any): Additional keyword arguments.
Returns:
Any: The result of the callback.
"""
await ahandle_event(
self.handlers,
"on_agent_finish",
"ignore_agent",
finish,
run_id=self.run_id,
parent_run_id=self.parent_run_id,
tags=self.tags,
**kwargs,
)
[docs]
class CallbackManagerForRetrieverRun(ParentRunManager, RetrieverManagerMixin):
"""Callback manager for retriever run."""
[docs]
def on_retriever_end(
self,
documents: Sequence[Document],
**kwargs: Any,
) -> None:
"""Run when retriever ends running.
Args:
documents (Sequence[Document]): The retrieved documents.
**kwargs (Any): Additional keyword arguments.
"""
handle_event(
self.handlers,
"on_retriever_end",
"ignore_retriever",
documents,
run_id=self.run_id,
parent_run_id=self.parent_run_id,
tags=self.tags,
**kwargs,
)
[docs]
def on_retriever_error(
self,
error: BaseException,
**kwargs: Any,
) -> None:
"""Run when retriever errors.
Args:
error (BaseException): The error.
**kwargs (Any): Additional keyword arguments.
"""
handle_event(
self.handlers,
"on_retriever_error",
"ignore_retriever",
error,
run_id=self.run_id,
parent_run_id=self.parent_run_id,
tags=self.tags,
**kwargs,
)
[docs]
class AsyncCallbackManagerForRetrieverRun(
AsyncParentRunManager,
RetrieverManagerMixin,
):
"""Async callback manager for retriever run."""
[docs]
def get_sync(self) -> CallbackManagerForRetrieverRun:
"""Get the equivalent sync RunManager.
Returns:
CallbackManagerForRetrieverRun: The sync RunManager.
"""
return CallbackManagerForRetrieverRun(
run_id=self.run_id,
handlers=self.handlers,
inheritable_handlers=self.inheritable_handlers,
parent_run_id=self.parent_run_id,
tags=self.tags,
inheritable_tags=self.inheritable_tags,
metadata=self.metadata,
inheritable_metadata=self.inheritable_metadata,
)
[docs]
@shielded
async def on_retriever_end(
self, documents: Sequence[Document], **kwargs: Any
) -> None:
"""Run when the retriever ends running.
Args:
documents (Sequence[Document]): The retrieved documents.
**kwargs (Any): Additional keyword arguments.
"""
await ahandle_event(
self.handlers,
"on_retriever_end",
"ignore_retriever",
documents,
run_id=self.run_id,
parent_run_id=self.parent_run_id,
tags=self.tags,
**kwargs,
)
[docs]
@shielded
async def on_retriever_error(
self,
error: BaseException,
**kwargs: Any,
) -> None:
"""Run when retriever errors.
Args:
error (BaseException): The error.
**kwargs (Any): Additional keyword arguments.
"""
await ahandle_event(
self.handlers,
"on_retriever_error",
"ignore_retriever",
error,
run_id=self.run_id,
parent_run_id=self.parent_run_id,
tags=self.tags,
**kwargs,
)
[docs]
class CallbackManager(BaseCallbackManager):
"""Callback manager for LangChain."""
[docs]
def on_llm_start(
self,
serialized: dict[str, Any],
prompts: list[str],
run_id: Optional[UUID] = None,
**kwargs: Any,
) -> list[CallbackManagerForLLMRun]:
"""Run when LLM starts running.
Args:
serialized (Dict[str, Any]): The serialized LLM.
prompts (List[str]): The list of prompts.
run_id (UUID, optional): The ID of the run. Defaults to None.
**kwargs (Any): Additional keyword arguments.
Returns:
List[CallbackManagerForLLMRun]: A callback manager for each
prompt as an LLM run.
"""
managers = []
for i, prompt in enumerate(prompts):
# Can't have duplicate runs with the same run ID (if provided)
run_id_ = run_id if i == 0 and run_id is not None else uuid.uuid4()
handle_event(
self.handlers,
"on_llm_start",
"ignore_llm",
serialized,
[prompt],
run_id=run_id_,
parent_run_id=self.parent_run_id,
tags=self.tags,
metadata=self.metadata,
**kwargs,
)
managers.append(
CallbackManagerForLLMRun(
run_id=run_id_,
handlers=self.handlers,
inheritable_handlers=self.inheritable_handlers,
parent_run_id=self.parent_run_id,
tags=self.tags,
inheritable_tags=self.inheritable_tags,
metadata=self.metadata,
inheritable_metadata=self.inheritable_metadata,
)
)
return managers
[docs]
def on_chat_model_start(
self,
serialized: dict[str, Any],
messages: list[list[BaseMessage]],
run_id: Optional[UUID] = None,
**kwargs: Any,
) -> list[CallbackManagerForLLMRun]:
"""Run when chat model starts running.
Args:
serialized (Dict[str, Any]): The serialized LLM.
messages (List[List[BaseMessage]]): The list of messages.
run_id (UUID, optional): The ID of the run. Defaults to None.
**kwargs (Any): Additional keyword arguments.
Returns:
List[CallbackManagerForLLMRun]: A callback manager for each
list of messages as an LLM run.
"""
managers = []
for message_list in messages:
if run_id is not None:
run_id_ = run_id
run_id = None
else:
run_id_ = uuid.uuid4()
handle_event(
self.handlers,
"on_chat_model_start",
"ignore_chat_model",
serialized,
[message_list],
run_id=run_id_,
parent_run_id=self.parent_run_id,
tags=self.tags,
metadata=self.metadata,
**kwargs,
)
managers.append(
CallbackManagerForLLMRun(
run_id=run_id_,
handlers=self.handlers,
inheritable_handlers=self.inheritable_handlers,
parent_run_id=self.parent_run_id,
tags=self.tags,
inheritable_tags=self.inheritable_tags,
metadata=self.metadata,
inheritable_metadata=self.inheritable_metadata,
)
)
return managers
[docs]
def on_chain_start(
self,
serialized: Optional[dict[str, Any]],
inputs: Union[dict[str, Any], Any],
run_id: Optional[UUID] = None,
**kwargs: Any,
) -> CallbackManagerForChainRun:
"""Run when chain starts running.
Args:
serialized (Optional[Dict[str, Any]]): The serialized chain.
inputs (Union[Dict[str, Any], Any]): The inputs to the chain.
run_id (UUID, optional): The ID of the run. Defaults to None.
**kwargs (Any): Additional keyword arguments.
Returns:
CallbackManagerForChainRun: The callback manager for the chain run.
"""
if run_id is None:
run_id = uuid.uuid4()
handle_event(
self.handlers,
"on_chain_start",
"ignore_chain",
serialized,
inputs,
run_id=run_id,
parent_run_id=self.parent_run_id,
tags=self.tags,
metadata=self.metadata,
**kwargs,
)
return CallbackManagerForChainRun(
run_id=run_id,
handlers=self.handlers,
inheritable_handlers=self.inheritable_handlers,
parent_run_id=self.parent_run_id,
tags=self.tags,
inheritable_tags=self.inheritable_tags,
metadata=self.metadata,
inheritable_metadata=self.inheritable_metadata,
)
[docs]
def on_retriever_start(
self,
serialized: Optional[dict[str, Any]],
query: str,
run_id: Optional[UUID] = None,
parent_run_id: Optional[UUID] = None,
**kwargs: Any,
) -> CallbackManagerForRetrieverRun:
"""Run when the retriever starts running.
Args:
serialized (Optional[Dict[str, Any]]): The serialized retriever.
query (str): The query.
run_id (UUID, optional): The ID of the run. Defaults to None.
parent_run_id (UUID, optional): The ID of the parent run. Defaults to None.
**kwargs (Any): Additional keyword arguments.
"""
if run_id is None:
run_id = uuid.uuid4()
handle_event(
self.handlers,
"on_retriever_start",
"ignore_retriever",
serialized,
query,
run_id=run_id,
parent_run_id=self.parent_run_id,
tags=self.tags,
metadata=self.metadata,
**kwargs,
)
return CallbackManagerForRetrieverRun(
run_id=run_id,
handlers=self.handlers,
inheritable_handlers=self.inheritable_handlers,
parent_run_id=self.parent_run_id,
tags=self.tags,
inheritable_tags=self.inheritable_tags,
metadata=self.metadata,
inheritable_metadata=self.inheritable_metadata,
)
[docs]
def on_custom_event(
self,
name: str,
data: Any,
run_id: Optional[UUID] = None,
**kwargs: Any,
) -> None:
"""Dispatch an adhoc event to the handlers (async version).
This event should NOT be used in any internal LangChain code. The event
is meant specifically for users of the library to dispatch custom
events that are tailored to their application.
Args:
name: The name of the adhoc event.
data: The data for the adhoc event.
run_id: The ID of the run. Defaults to None.
.. versionadded:: 0.2.14
"""
if kwargs:
msg = (
"The dispatcher API does not accept additional keyword arguments."
"Please do not pass any additional keyword arguments, instead "
"include them in the data field."
)
raise ValueError(msg)
if run_id is None:
run_id = uuid.uuid4()
handle_event(
self.handlers,
"on_custom_event",
"ignore_custom_event",
name,
data,
run_id=run_id,
tags=self.tags,
metadata=self.metadata,
)
[docs]
class CallbackManagerForChainGroup(CallbackManager):
"""Callback manager for the chain group."""
[docs]
def __init__(
self,
handlers: list[BaseCallbackHandler],
inheritable_handlers: Optional[list[BaseCallbackHandler]] = None,
parent_run_id: Optional[UUID] = None,
*,
parent_run_manager: CallbackManagerForChainRun,
**kwargs: Any,
) -> None:
"""Initialize the callback manager.
Args:
handlers (List[BaseCallbackHandler]): The list of handlers.
inheritable_handlers (Optional[List[BaseCallbackHandler]]): The list of
inheritable handlers. Defaults to None.
parent_run_id (Optional[UUID]): The ID of the parent run. Defaults to None.
parent_run_manager (CallbackManagerForChainRun): The parent run manager.
**kwargs (Any): Additional keyword arguments.
"""
super().__init__(
handlers,
inheritable_handlers,
parent_run_id,
**kwargs,
)
self.parent_run_manager = parent_run_manager
self.ended = False
[docs]
def copy(self) -> CallbackManagerForChainGroup:
"""Copy the callback manager."""
return self.__class__(
handlers=self.handlers.copy(),
inheritable_handlers=self.inheritable_handlers.copy(),
parent_run_id=self.parent_run_id,
tags=self.tags.copy(),
inheritable_tags=self.inheritable_tags.copy(),
metadata=self.metadata.copy(),
inheritable_metadata=self.inheritable_metadata.copy(),
parent_run_manager=self.parent_run_manager,
)
[docs]
def merge(
self: CallbackManagerForChainGroup, other: BaseCallbackManager
) -> CallbackManagerForChainGroup:
"""Merge the group callback manager with another callback manager.
Overwrites the merge method in the base class to ensure that the
parent run manager is preserved. Keeps the parent_run_manager
from the current object.
Returns:
CallbackManagerForChainGroup: A copy of the current object with the
handlers, tags, and other attributes merged from the other object.
Example: Merging two callback managers.
.. code-block:: python
from langchain_core.callbacks.manager import CallbackManager, trace_as_chain_group
from langchain_core.callbacks.stdout import StdOutCallbackHandler
manager = CallbackManager(handlers=[StdOutCallbackHandler()], tags=["tag2"])
with trace_as_chain_group("My Group Name", tags=["tag1"]) as group_manager:
merged_manager = group_manager.merge(manager)
print(type(merged_manager))
# <class 'langchain_core.callbacks.manager.CallbackManagerForChainGroup'>
print(merged_manager.handlers)
# [
# <langchain_core.callbacks.stdout.LangChainTracer object at ...>,
# <langchain_core.callbacks.streaming_stdout.StdOutCallbackHandler object at ...>,
# ]
print(merged_manager.tags)
# ['tag2', 'tag1']
""" # noqa: E501
manager = self.__class__(
parent_run_id=self.parent_run_id or other.parent_run_id,
handlers=[],
inheritable_handlers=[],
tags=list(set(self.tags + other.tags)),
inheritable_tags=list(set(self.inheritable_tags + other.inheritable_tags)),
metadata={
**self.metadata,
**other.metadata,
},
parent_run_manager=self.parent_run_manager,
)
handlers = self.handlers + other.handlers
inheritable_handlers = self.inheritable_handlers + other.inheritable_handlers
for handler in handlers:
manager.add_handler(handler)
for handler in inheritable_handlers:
manager.add_handler(handler, inherit=True)
return manager
[docs]
def on_chain_end(self, outputs: Union[dict[str, Any], Any], **kwargs: Any) -> None:
"""Run when traced chain group ends.
Args:
outputs (Union[Dict[str, Any], Any]): The outputs of the chain.
**kwargs (Any): Additional keyword arguments.
"""
self.ended = True
return self.parent_run_manager.on_chain_end(outputs, **kwargs)
[docs]
def on_chain_error(
self,
error: BaseException,
**kwargs: Any,
) -> None:
"""Run when chain errors.
Args:
error (Exception or KeyboardInterrupt): The error.
**kwargs (Any): Additional keyword arguments.
"""
self.ended = True
return self.parent_run_manager.on_chain_error(error, **kwargs)
[docs]
class AsyncCallbackManager(BaseCallbackManager):
"""Async callback manager that handles callbacks from LangChain."""
@property
def is_async(self) -> bool:
"""Return whether the handler is async."""
return True
[docs]
async def on_llm_start(
self,
serialized: dict[str, Any],
prompts: list[str],
run_id: Optional[UUID] = None,
**kwargs: Any,
) -> list[AsyncCallbackManagerForLLMRun]:
"""Run when LLM starts running.
Args:
serialized (Dict[str, Any]): The serialized LLM.
prompts (List[str]): The list of prompts.
run_id (UUID, optional): The ID of the run. Defaults to None.
**kwargs (Any): Additional keyword arguments.
Returns:
List[AsyncCallbackManagerForLLMRun]: The list of async
callback managers, one for each LLM Run corresponding
to each prompt.
"""
inline_tasks = []
non_inline_tasks = []
inline_handlers = [handler for handler in self.handlers if handler.run_inline]
non_inline_handlers = [
handler for handler in self.handlers if not handler.run_inline
]
managers = []
for prompt in prompts:
if run_id is not None:
run_id_ = run_id
run_id = None
else:
run_id_ = uuid.uuid4()
if inline_handlers:
inline_tasks.append(
ahandle_event(
inline_handlers,
"on_llm_start",
"ignore_llm",
serialized,
[prompt],
run_id=run_id_,
parent_run_id=self.parent_run_id,
tags=self.tags,
metadata=self.metadata,
**kwargs,
)
)
else:
non_inline_tasks.append(
ahandle_event(
non_inline_handlers,
"on_llm_start",
"ignore_llm",
serialized,
[prompt],
run_id=run_id_,
parent_run_id=self.parent_run_id,
tags=self.tags,
metadata=self.metadata,
**kwargs,
)
)
managers.append(
AsyncCallbackManagerForLLMRun(
run_id=run_id_,
handlers=self.handlers,
inheritable_handlers=self.inheritable_handlers,
parent_run_id=self.parent_run_id,
tags=self.tags,
inheritable_tags=self.inheritable_tags,
metadata=self.metadata,
inheritable_metadata=self.inheritable_metadata,
)
)
# Run inline tasks sequentially
for inline_task in inline_tasks:
await inline_task
# Run non-inline tasks concurrently
if non_inline_tasks:
await asyncio.gather(*non_inline_tasks)
return managers
[docs]
async def on_chat_model_start(
self,
serialized: dict[str, Any],
messages: list[list[BaseMessage]],
run_id: Optional[UUID] = None,
**kwargs: Any,
) -> list[AsyncCallbackManagerForLLMRun]:
"""Async run when LLM starts running.
Args:
serialized (Dict[str, Any]): The serialized LLM.
messages (List[List[BaseMessage]]): The list of messages.
run_id (UUID, optional): The ID of the run. Defaults to None.
**kwargs (Any): Additional keyword arguments.
Returns:
List[AsyncCallbackManagerForLLMRun]: The list of
async callback managers, one for each LLM Run
corresponding to each inner message list.
"""
inline_tasks = []
non_inline_tasks = []
managers = []
for message_list in messages:
if run_id is not None:
run_id_ = run_id
run_id = None
else:
run_id_ = uuid.uuid4()
for handler in self.handlers:
task = ahandle_event(
[handler],
"on_chat_model_start",
"ignore_chat_model",
serialized,
[message_list],
run_id=run_id_,
parent_run_id=self.parent_run_id,
tags=self.tags,
metadata=self.metadata,
**kwargs,
)
if handler.run_inline:
inline_tasks.append(task)
else:
non_inline_tasks.append(task)
managers.append(
AsyncCallbackManagerForLLMRun(
run_id=run_id_,
handlers=self.handlers,
inheritable_handlers=self.inheritable_handlers,
parent_run_id=self.parent_run_id,
tags=self.tags,
inheritable_tags=self.inheritable_tags,
metadata=self.metadata,
inheritable_metadata=self.inheritable_metadata,
)
)
# Run inline tasks sequentially
for task in inline_tasks:
await task
# Run non-inline tasks concurrently
if non_inline_tasks:
await asyncio.gather(*non_inline_tasks)
return managers
[docs]
async def on_chain_start(
self,
serialized: Optional[dict[str, Any]],
inputs: Union[dict[str, Any], Any],
run_id: Optional[UUID] = None,
**kwargs: Any,
) -> AsyncCallbackManagerForChainRun:
"""Async run when chain starts running.
Args:
serialized (Optional[Dict[str, Any]]): The serialized chain.
inputs (Union[Dict[str, Any], Any]): The inputs to the chain.
run_id (UUID, optional): The ID of the run. Defaults to None.
**kwargs (Any): Additional keyword arguments.
Returns:
AsyncCallbackManagerForChainRun: The async callback manager
for the chain run.
"""
if run_id is None:
run_id = uuid.uuid4()
await ahandle_event(
self.handlers,
"on_chain_start",
"ignore_chain",
serialized,
inputs,
run_id=run_id,
parent_run_id=self.parent_run_id,
tags=self.tags,
metadata=self.metadata,
**kwargs,
)
return AsyncCallbackManagerForChainRun(
run_id=run_id,
handlers=self.handlers,
inheritable_handlers=self.inheritable_handlers,
parent_run_id=self.parent_run_id,
tags=self.tags,
inheritable_tags=self.inheritable_tags,
metadata=self.metadata,
inheritable_metadata=self.inheritable_metadata,
)
[docs]
async def on_custom_event(
self,
name: str,
data: Any,
run_id: Optional[UUID] = None,
**kwargs: Any,
) -> None:
"""Dispatch an adhoc event to the handlers (async version).
This event should NOT be used in any internal LangChain code. The event
is meant specifically for users of the library to dispatch custom
events that are tailored to their application.
Args:
name: The name of the adhoc event.
data: The data for the adhoc event.
run_id: The ID of the run. Defaults to None.
.. versionadded:: 0.2.14
"""
if run_id is None:
run_id = uuid.uuid4()
if kwargs:
msg = (
"The dispatcher API does not accept additional keyword arguments."
"Please do not pass any additional keyword arguments, instead "
"include them in the data field."
)
raise ValueError(msg)
await ahandle_event(
self.handlers,
"on_custom_event",
"ignore_custom_event",
name,
data,
run_id=run_id,
tags=self.tags,
metadata=self.metadata,
)
[docs]
async def on_retriever_start(
self,
serialized: Optional[dict[str, Any]],
query: str,
run_id: Optional[UUID] = None,
parent_run_id: Optional[UUID] = None,
**kwargs: Any,
) -> AsyncCallbackManagerForRetrieverRun:
"""Run when the retriever starts running.
Args:
serialized (Optional[Dict[str, Any]]): The serialized retriever.
query (str): The query.
run_id (UUID, optional): The ID of the run. Defaults to None.
parent_run_id (UUID, optional): The ID of the parent run. Defaults to None.
**kwargs (Any): Additional keyword arguments.
Returns:
AsyncCallbackManagerForRetrieverRun: The async callback manager
for the retriever run.
"""
if run_id is None:
run_id = uuid.uuid4()
await ahandle_event(
self.handlers,
"on_retriever_start",
"ignore_retriever",
serialized,
query,
run_id=run_id,
parent_run_id=self.parent_run_id,
tags=self.tags,
metadata=self.metadata,
**kwargs,
)
return AsyncCallbackManagerForRetrieverRun(
run_id=run_id,
handlers=self.handlers,
inheritable_handlers=self.inheritable_handlers,
parent_run_id=self.parent_run_id,
tags=self.tags,
inheritable_tags=self.inheritable_tags,
metadata=self.metadata,
inheritable_metadata=self.inheritable_metadata,
)
[docs]
class AsyncCallbackManagerForChainGroup(AsyncCallbackManager):
"""Async callback manager for the chain group."""
[docs]
def __init__(
self,
handlers: list[BaseCallbackHandler],
inheritable_handlers: Optional[list[BaseCallbackHandler]] = None,
parent_run_id: Optional[UUID] = None,
*,
parent_run_manager: AsyncCallbackManagerForChainRun,
**kwargs: Any,
) -> None:
"""Initialize the async callback manager.
Args:
handlers (List[BaseCallbackHandler]): The list of handlers.
inheritable_handlers (Optional[List[BaseCallbackHandler]]): The list of
inheritable handlers. Defaults to None.
parent_run_id (Optional[UUID]): The ID of the parent run. Defaults to None.
parent_run_manager (AsyncCallbackManagerForChainRun):
The parent run manager.
**kwargs (Any): Additional keyword arguments.
"""
super().__init__(
handlers,
inheritable_handlers,
parent_run_id,
**kwargs,
)
self.parent_run_manager = parent_run_manager
self.ended = False
[docs]
def copy(self) -> AsyncCallbackManagerForChainGroup:
"""Copy the async callback manager."""
return self.__class__(
handlers=self.handlers.copy(),
inheritable_handlers=self.inheritable_handlers.copy(),
parent_run_id=self.parent_run_id,
tags=self.tags.copy(),
inheritable_tags=self.inheritable_tags.copy(),
metadata=self.metadata.copy(),
inheritable_metadata=self.inheritable_metadata.copy(),
parent_run_manager=self.parent_run_manager,
)
[docs]
def merge(
self: AsyncCallbackManagerForChainGroup, other: BaseCallbackManager
) -> AsyncCallbackManagerForChainGroup:
"""Merge the group callback manager with another callback manager.
Overwrites the merge method in the base class to ensure that the
parent run manager is preserved. Keeps the parent_run_manager
from the current object.
Returns:
AsyncCallbackManagerForChainGroup: A copy of the current AsyncCallbackManagerForChainGroup
with the handlers, tags, etc. of the other callback manager merged in.
Example: Merging two callback managers.
.. code-block:: python
from langchain_core.callbacks.manager import CallbackManager, atrace_as_chain_group
from langchain_core.callbacks.stdout import StdOutCallbackHandler
manager = CallbackManager(handlers=[StdOutCallbackHandler()], tags=["tag2"])
async with atrace_as_chain_group("My Group Name", tags=["tag1"]) as group_manager:
merged_manager = group_manager.merge(manager)
print(type(merged_manager))
# <class 'langchain_core.callbacks.manager.AsyncCallbackManagerForChainGroup'>
print(merged_manager.handlers)
# [
# <langchain_core.callbacks.stdout.LangChainTracer object at ...>,
# <langchain_core.callbacks.streaming_stdout.StdOutCallbackHandler object at ...>,
# ]
print(merged_manager.tags)
# ['tag2', 'tag1']
""" # noqa: E501
manager = self.__class__(
parent_run_id=self.parent_run_id or other.parent_run_id,
handlers=[],
inheritable_handlers=[],
tags=list(set(self.tags + other.tags)),
inheritable_tags=list(set(self.inheritable_tags + other.inheritable_tags)),
metadata={
**self.metadata,
**other.metadata,
},
parent_run_manager=self.parent_run_manager,
)
handlers = self.handlers + other.handlers
inheritable_handlers = self.inheritable_handlers + other.inheritable_handlers
for handler in handlers:
manager.add_handler(handler)
for handler in inheritable_handlers:
manager.add_handler(handler, inherit=True)
return manager
[docs]
async def on_chain_end(
self, outputs: Union[dict[str, Any], Any], **kwargs: Any
) -> None:
"""Run when traced chain group ends.
Args:
outputs (Union[Dict[str, Any], Any]): The outputs of the chain.
**kwargs (Any): Additional keyword arguments.
"""
self.ended = True
await self.parent_run_manager.on_chain_end(outputs, **kwargs)
[docs]
async def on_chain_error(
self,
error: BaseException,
**kwargs: Any,
) -> None:
"""Run when chain errors.
Args:
error (Exception or KeyboardInterrupt): The error.
**kwargs (Any): Additional keyword arguments.
"""
self.ended = True
await self.parent_run_manager.on_chain_error(error, **kwargs)
T = TypeVar("T", CallbackManager, AsyncCallbackManager)
H = TypeVar("H", bound=BaseCallbackHandler, covariant=True)
def _configure(
callback_manager_cls: type[T],
inheritable_callbacks: Callbacks = None,
local_callbacks: Callbacks = None,
verbose: bool = False,
inheritable_tags: Optional[list[str]] = None,
local_tags: Optional[list[str]] = None,
inheritable_metadata: Optional[dict[str, Any]] = None,
local_metadata: Optional[dict[str, Any]] = None,
) -> T:
"""Configure the callback manager.
Args:
callback_manager_cls (Type[T]): The callback manager class.
inheritable_callbacks (Optional[Callbacks], optional): The inheritable
callbacks. Defaults to None.
local_callbacks (Optional[Callbacks], optional): The local callbacks.
Defaults to None.
verbose (bool, optional): Whether to enable verbose mode. Defaults to False.
inheritable_tags (Optional[List[str]], optional): The inheritable tags.
Defaults to None.
local_tags (Optional[List[str]], optional): The local tags. Defaults to None.
inheritable_metadata (Optional[Dict[str, Any]], optional): The inheritable
metadata. Defaults to None.
local_metadata (Optional[Dict[str, Any]], optional): The local metadata.
Defaults to None.
Returns:
T: The configured callback manager.
"""
from langchain_core.tracers.context import (
_configure_hooks,
_get_tracer_project,
_tracing_v2_is_enabled,
tracing_v2_callback_var,
)
tracing_context = get_tracing_context()
tracing_metadata = tracing_context["metadata"]
tracing_tags = tracing_context["tags"]
run_tree: Optional[Run] = tracing_context["parent"]
parent_run_id = None if run_tree is None else run_tree.id
callback_manager = callback_manager_cls(
handlers=[],
parent_run_id=parent_run_id,
)
if inheritable_callbacks or local_callbacks:
if isinstance(inheritable_callbacks, list) or inheritable_callbacks is None:
inheritable_callbacks_ = inheritable_callbacks or []
callback_manager = callback_manager_cls(
handlers=inheritable_callbacks_.copy(),
inheritable_handlers=inheritable_callbacks_.copy(),
parent_run_id=parent_run_id,
)
else:
parent_run_id_ = inheritable_callbacks.parent_run_id
# Break ties between the external tracing context and inherited context
if parent_run_id is not None and (
parent_run_id_ is None
# If the LC parent has already been reflected
# in the run tree, we know the run_tree is either the
# same parent or a child of the parent.
or (run_tree and str(parent_run_id_) in run_tree.dotted_order)
):
parent_run_id_ = parent_run_id
# Otherwise, we assume the LC context has progressed
# beyond the run tree and we should not inherit the parent.
callback_manager = callback_manager_cls(
handlers=inheritable_callbacks.handlers.copy(),
inheritable_handlers=inheritable_callbacks.inheritable_handlers.copy(),
parent_run_id=parent_run_id_,
tags=inheritable_callbacks.tags.copy(),
inheritable_tags=inheritable_callbacks.inheritable_tags.copy(),
metadata=inheritable_callbacks.metadata.copy(),
inheritable_metadata=inheritable_callbacks.inheritable_metadata.copy(),
)
local_handlers_ = (
local_callbacks
if isinstance(local_callbacks, list)
else (local_callbacks.handlers if local_callbacks else [])
)
for handler in local_handlers_:
callback_manager.add_handler(handler, False)
if inheritable_tags or local_tags:
callback_manager.add_tags(inheritable_tags or [])
callback_manager.add_tags(local_tags or [], False)
if inheritable_metadata or local_metadata:
callback_manager.add_metadata(inheritable_metadata or {})
callback_manager.add_metadata(local_metadata or {}, False)
if tracing_metadata:
callback_manager.add_metadata(tracing_metadata.copy())
if tracing_tags:
callback_manager.add_tags(tracing_tags.copy())
v1_tracing_enabled_ = env_var_is_set("LANGCHAIN_TRACING") or env_var_is_set(
"LANGCHAIN_HANDLER"
)
tracer_v2 = tracing_v2_callback_var.get()
tracing_v2_enabled_ = _tracing_v2_is_enabled()
if v1_tracing_enabled_ and not tracing_v2_enabled_:
# if both are enabled, can silently ignore the v1 tracer
msg = (
"Tracing using LangChainTracerV1 is no longer supported. "
"Please set the LANGCHAIN_TRACING_V2 environment variable to enable "
"tracing instead."
)
raise RuntimeError(msg)
tracer_project = _get_tracer_project()
debug = _get_debug()
if verbose or debug or tracing_v2_enabled_:
from langchain_core.tracers.langchain import LangChainTracer
from langchain_core.tracers.stdout import ConsoleCallbackHandler
if verbose and not any(
isinstance(handler, StdOutCallbackHandler)
for handler in callback_manager.handlers
):
if debug:
pass
else:
callback_manager.add_handler(StdOutCallbackHandler(), False)
if debug and not any(
isinstance(handler, ConsoleCallbackHandler)
for handler in callback_manager.handlers
):
callback_manager.add_handler(ConsoleCallbackHandler(), True)
if tracing_v2_enabled_ and not any(
isinstance(handler, LangChainTracer)
for handler in callback_manager.handlers
):
if tracer_v2:
callback_manager.add_handler(tracer_v2, True)
else:
try:
handler = LangChainTracer(
project_name=tracer_project,
client=(
run_tree.client
if run_tree is not None
else tracing_context["client"]
),
tags=tracing_tags,
)
callback_manager.add_handler(handler, True)
except Exception as e:
logger.warning(
"Unable to load requested LangChainTracer."
" To disable this warning,"
" unset the LANGCHAIN_TRACING_V2 environment variables.\n"
f"{repr(e)}",
)
if run_tree is not None:
for handler in callback_manager.handlers:
if isinstance(handler, LangChainTracer):
handler.order_map[run_tree.id] = (
run_tree.trace_id,
run_tree.dotted_order,
)
handler.run_map[str(run_tree.id)] = cast(Run, run_tree)
for var, inheritable, handler_class, env_var in _configure_hooks:
create_one = (
env_var is not None
and env_var_is_set(env_var)
and handler_class is not None
)
if var.get() is not None or create_one:
var_handler = var.get() or cast(type[BaseCallbackHandler], handler_class)()
if handler_class is None:
if not any(
handler is var_handler # direct pointer comparison
for handler in callback_manager.handlers
):
callback_manager.add_handler(var_handler, inheritable)
else:
if not any(
isinstance(handler, handler_class)
for handler in callback_manager.handlers
):
callback_manager.add_handler(var_handler, inheritable)
return callback_manager
[docs]
async def adispatch_custom_event(
name: str, data: Any, *, config: Optional[RunnableConfig] = None
) -> None:
"""Dispatch an adhoc event to the handlers.
Args:
name: The name of the adhoc event.
data: The data for the adhoc event. Free form data. Ideally should be
JSON serializable to avoid serialization issues downstream, but
this is not enforced.
config: Optional config object. Mirrors the async API but not strictly needed.
Example:
.. code-block:: python
from langchain_core.callbacks import (
AsyncCallbackHandler,
adispatch_custom_event
)
from langchain_core.runnable import RunnableLambda
class CustomCallbackManager(AsyncCallbackHandler):
async def on_custom_event(
self,
name: str,
data: Any,
*,
run_id: UUID,
tags: Optional[List[str]] = None,
metadata: Optional[Dict[str, Any]] = None,
**kwargs: Any,
) -> None:
print(f"Received custom event: {name} with data: {data}")
callback = CustomCallbackManager()
async def foo(inputs):
await adispatch_custom_event("my_event", {"bar": "buzz})
return inputs
foo_ = RunnableLambda(foo)
await foo_.ainvoke({"a": "1"}, {"callbacks": [CustomCallbackManager()]})
Example: Use with astream events
.. code-block:: python
from langchain_core.callbacks import (
AsyncCallbackHandler,
adispatch_custom_event
)
from langchain_core.runnable import RunnableLambda
class CustomCallbackManager(AsyncCallbackHandler):
async def on_custom_event(
self,
name: str,
data: Any,
*,
run_id: UUID,
tags: Optional[List[str]] = None,
metadata: Optional[Dict[str, Any]] = None,
**kwargs: Any,
) -> None:
print(f"Received custom event: {name} with data: {data}")
callback = CustomCallbackManager()
async def foo(inputs):
await adispatch_custom_event("event_type_1", {"bar": "buzz})
await adispatch_custom_event("event_type_2", 5)
return inputs
foo_ = RunnableLambda(foo)
async for event in foo_.ainvoke_stream(
{"a": "1"},
version="v2",
config={"callbacks": [CustomCallbackManager()]}
):
print(event)
.. warning::
If using python <= 3.10 and async, you MUST
specify the `config` parameter or the function will raise an error.
This is due to a limitation in asyncio for python <= 3.10 that prevents
LangChain from automatically propagating the config object on the user's
behalf.
.. versionadded:: 0.2.15
"""
from langchain_core.runnables.config import (
ensure_config,
get_async_callback_manager_for_config,
)
config = ensure_config(config)
callback_manager = get_async_callback_manager_for_config(config)
# We want to get the callback manager for the parent run.
# This is a work-around for now to be able to dispatch adhoc events from
# within a tool or a lambda and have the metadata events associated
# with the parent run rather than have a new run id generated for each.
if callback_manager.parent_run_id is None:
msg = (
"Unable to dispatch an adhoc event without a parent run id."
"This function can only be called from within an existing run (e.g.,"
"inside a tool or a RunnableLambda or a RunnableGenerator.)"
"If you are doing that and still seeing this error, try explicitly"
"passing the config parameter to this function."
)
raise RuntimeError(msg)
await callback_manager.on_custom_event(
name,
data,
run_id=callback_manager.parent_run_id,
)
[docs]
def dispatch_custom_event(
name: str, data: Any, *, config: Optional[RunnableConfig] = None
) -> None:
"""Dispatch an adhoc event.
Args:
name: The name of the adhoc event.
data: The data for the adhoc event. Free form data. Ideally should be
JSON serializable to avoid serialization issues downstream, but
this is not enforced.
config: Optional config object. Mirrors the async API but not strictly needed.
Example:
.. code-block:: python
from langchain_core.callbacks import BaseCallbackHandler
from langchain_core.callbacks import dispatch_custom_event
from langchain_core.runnable import RunnableLambda
class CustomCallbackManager(BaseCallbackHandler):
def on_custom_event(
self,
name: str,
data: Any,
*,
run_id: UUID,
tags: Optional[List[str]] = None,
metadata: Optional[Dict[str, Any]] = None,
**kwargs: Any,
) -> None:
print(f"Received custom event: {name} with data: {data}")
def foo(inputs):
dispatch_custom_event("my_event", {"bar": "buzz})
return inputs
foo_ = RunnableLambda(foo)
foo_.invoke({"a": "1"}, {"callbacks": [CustomCallbackManager()]})
.. versionadded:: 0.2.15
"""
from langchain_core.runnables.config import (
ensure_config,
get_callback_manager_for_config,
)
config = ensure_config(config)
callback_manager = get_callback_manager_for_config(config)
# We want to get the callback manager for the parent run.
# This is a work-around for now to be able to dispatch adhoc events from
# within a tool or a lambda and have the metadata events associated
# with the parent run rather than have a new run id generated for each.
if callback_manager.parent_run_id is None:
msg = (
"Unable to dispatch an adhoc event without a parent run id."
"This function can only be called from within an existing run (e.g.,"
"inside a tool or a RunnableLambda or a RunnableGenerator.)"
"If you are doing that and still seeing this error, try explicitly"
"passing the config parameter to this function."
)
raise RuntimeError(msg)
callback_manager.on_custom_event(
name,
data,
run_id=callback_manager.parent_run_id,
)
