Source code for langchain_core.callbacks.manager

from __future__ import annotations

import asyncio
import functools
import logging
import uuid
from concurrent.futures import ThreadPoolExecutor
from contextlib import asynccontextmanager, contextmanager
from typing import (
    TYPE_CHECKING,
    Any,
    AsyncGenerator,
    Coroutine,
    Dict,
    Generator,
    List,
    Optional,
    Sequence,
    Type,
    TypeVar,
    Union,
    cast,
)
from uuid import UUID

from langsmith.run_helpers import get_run_tree_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.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

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, ) -> 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. inputs (Dict[str, Any], optional): The inputs to the chain group. 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. 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.predict(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, ) 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, ) -> 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. 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. 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.apredict(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) 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({})
[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(_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: runner.run(coro) # 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: asyncio.run(coro) 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, functools.partial(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: """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. inheritable_tags (Optional[List[str]]): The list of inheritable tags. metadata (Optional[Dict[str, Any]]): The metadata. inheritable_metadata (Optional[Dict[str, Any]]): The inheritable metadata. """ 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 text is received. Args: text (str): The received text. 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: 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): """Async Run Manager."""
[docs] async def on_text( self, text: str, **kwargs: Any, ) -> Any: """Run when text is received. Args: text (str): The received text. 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: 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. """ 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. """ 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] 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. """ 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] async def on_llm_end(self, response: LLMResult, **kwargs: Any) -> None: """Run when LLM ends running. Args: response (LLMResult): The LLM result. """ 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] 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. """ 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. """ 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. 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. 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] async 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. """ 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] async def on_chain_error( self, error: BaseException, **kwargs: Any, ) -> None: """Run when chain errors. Args: error (Exception or KeyboardInterrupt): The error. """ 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] async def on_agent_action(self, action: AgentAction, **kwargs: Any) -> Any: """Run when agent action is received. Args: action (AgentAction): The agent action. 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] async def on_agent_finish(self, finish: AgentFinish, **kwargs: Any) -> Any: """Run when agent finish is received. Args: finish (AgentFinish): The agent finish. 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 CallbackManagerForToolRun(ParentRunManager, ToolManagerMixin): """Callback manager for tool run."""
[docs] def on_tool_end( self, output: str, **kwargs: Any, ) -> None: """Run when tool ends running. Args: output (str): The output of the tool. """ handle_event( self.handlers, "on_tool_end", "ignore_agent", output, run_id=self.run_id, parent_run_id=self.parent_run_id, tags=self.tags, **kwargs, )
[docs] def on_tool_error( self, error: BaseException, **kwargs: Any, ) -> None: """Run when tool errors. Args: error (Exception or KeyboardInterrupt): The error. """ handle_event( self.handlers, "on_tool_error", "ignore_agent", error, run_id=self.run_id, parent_run_id=self.parent_run_id, tags=self.tags, **kwargs, )
[docs]class AsyncCallbackManagerForToolRun(AsyncParentRunManager, ToolManagerMixin): """Async callback manager for tool run."""
[docs] async def on_tool_end(self, output: str, **kwargs: Any) -> None: """Run when tool ends running. Args: output (str): The output of the tool. """ await ahandle_event( self.handlers, "on_tool_end", "ignore_agent", output, run_id=self.run_id, parent_run_id=self.parent_run_id, tags=self.tags, **kwargs, )
[docs] async def on_tool_error( self, error: BaseException, **kwargs: Any, ) -> None: """Run when tool errors. Args: error (Exception or KeyboardInterrupt): The error. """ await ahandle_event( self.handlers, "on_tool_error", "ignore_agent", error, 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.""" 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.""" 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] async def on_retriever_end( self, documents: Sequence[Document], **kwargs: Any ) -> None: """Run when retriever ends running.""" 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] async def on_retriever_error( self, error: BaseException, **kwargs: Any, ) -> None: """Run when retriever errors.""" 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 that handles callbacks from LangChain."""
[docs] def on_llm_start( self, serialized: Dict[str, Any], prompts: List[str], **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. Returns: List[CallbackManagerForLLMRun]: A callback manager for each prompt as an LLM run. """ managers = [] for prompt in prompts: run_id_ = 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]], **kwargs: Any, ) -> List[CallbackManagerForLLMRun]: """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. Returns: List[CallbackManagerForLLMRun]: A callback manager for each list of messages as an LLM run. """ managers = [] for message_list in messages: 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: Dict[str, Any], inputs: Union[Dict[str, Any], Any], run_id: Optional[UUID] = None, **kwargs: Any, ) -> CallbackManagerForChainRun: """Run when chain starts running. Args: serialized (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. 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_tool_start( self, serialized: Dict[str, Any], input_str: str, run_id: Optional[UUID] = None, parent_run_id: Optional[UUID] = None, **kwargs: Any, ) -> CallbackManagerForToolRun: """Run when tool starts running. Args: serialized (Dict[str, Any]): The serialized tool. input_str (str): The input to the tool. 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. Returns: CallbackManagerForToolRun: The callback manager for the tool run. """ if run_id is None: run_id = uuid.uuid4() handle_event( self.handlers, "on_tool_start", "ignore_agent", serialized, input_str, run_id=run_id, parent_run_id=self.parent_run_id, tags=self.tags, metadata=self.metadata, **kwargs, ) return CallbackManagerForToolRun( 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: Dict[str, Any], query: str, run_id: Optional[UUID] = None, parent_run_id: Optional[UUID] = None, **kwargs: Any, ) -> CallbackManagerForRetrieverRun: """Run when retriever starts running.""" 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] @classmethod def configure( cls, 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, ) -> CallbackManager: """Configure the callback manager. Args: 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: CallbackManager: The configured callback manager. """ return _configure( cls, inheritable_callbacks, local_callbacks, verbose, inheritable_tags, local_tags, inheritable_metadata, local_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: super().__init__( handlers, inheritable_handlers, parent_run_id, **kwargs, ) self.parent_run_manager = parent_run_manager self.ended = False
[docs] def copy(self) -> CallbackManagerForChainGroup: return self.__class__( 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, parent_run_manager=self.parent_run_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. """ 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. """ 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], **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. Returns: List[AsyncCallbackManagerForLLMRun]: The list of async callback managers, one for each LLM Run corresponding to each prompt. """ tasks = [] managers = [] for prompt in prompts: run_id_ = uuid.uuid4() tasks.append( ahandle_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( 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, ) ) await asyncio.gather(*tasks) return managers
[docs] async def on_chat_model_start( self, serialized: Dict[str, Any], messages: List[List[BaseMessage]], **kwargs: Any, ) -> List[AsyncCallbackManagerForLLMRun]: """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. Returns: List[AsyncCallbackManagerForLLMRun]: The list of async callback managers, one for each LLM Run corresponding to each inner message list. """ tasks = [] managers = [] for message_list in messages: run_id_ = uuid.uuid4() tasks.append( ahandle_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( 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, ) ) await asyncio.gather(*tasks) return managers
[docs] async def on_chain_start( self, serialized: Dict[str, Any], inputs: Union[Dict[str, Any], Any], run_id: Optional[UUID] = None, **kwargs: Any, ) -> AsyncCallbackManagerForChainRun: """Run when chain starts running. Args: serialized (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. 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_tool_start( self, serialized: Dict[str, Any], input_str: str, run_id: Optional[UUID] = None, parent_run_id: Optional[UUID] = None, **kwargs: Any, ) -> AsyncCallbackManagerForToolRun: """Run when tool starts running. Args: serialized (Dict[str, Any]): The serialized tool. input_str (str): The input to the tool. 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. Returns: AsyncCallbackManagerForToolRun: The async callback manager for the tool run. """ if run_id is None: run_id = uuid.uuid4() await ahandle_event( self.handlers, "on_tool_start", "ignore_agent", serialized, input_str, run_id=run_id, parent_run_id=self.parent_run_id, tags=self.tags, metadata=self.metadata, **kwargs, ) return AsyncCallbackManagerForToolRun( 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_retriever_start( self, serialized: Dict[str, Any], query: str, run_id: Optional[UUID] = None, parent_run_id: Optional[UUID] = None, **kwargs: Any, ) -> AsyncCallbackManagerForRetrieverRun: """Run when retriever starts running.""" 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] @classmethod def configure( cls, 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, ) -> AsyncCallbackManager: """Configure the async callback manager. Args: 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: AsyncCallbackManager: The configured async callback manager. """ return _configure( cls, inheritable_callbacks, local_callbacks, verbose, inheritable_tags, local_tags, inheritable_metadata, local_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: super().__init__( handlers, inheritable_handlers, parent_run_id, **kwargs, ) self.parent_run_manager = parent_run_manager self.ended = False
[docs] def copy(self) -> AsyncCallbackManagerForChainGroup: return self.__class__( 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, parent_run_manager=self.parent_run_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. """ 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. """ 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_callback_var, tracing_v2_callback_var, ) run_tree = get_run_tree_context() parent_run_id = None if run_tree is None else getattr(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: callback_manager = callback_manager_cls( handlers=inheritable_callbacks.handlers.copy(), inheritable_handlers=inheritable_callbacks.inheritable_handlers.copy(), parent_run_id=inheritable_callbacks.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) tracer = tracing_callback_var.get() tracing_enabled_ = ( env_var_is_set("LANGCHAIN_TRACING") or tracer is not None or env_var_is_set("LANGCHAIN_HANDLER") ) tracer_v2 = tracing_v2_callback_var.get() tracing_v2_enabled_ = _tracing_v2_is_enabled() tracer_project = _get_tracer_project() debug = _get_debug() if verbose or debug or tracing_enabled_ or tracing_v2_enabled_: from langchain_core.tracers.langchain import LangChainTracer from langchain_core.tracers.langchain_v1 import LangChainTracerV1 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_enabled_ and not any( isinstance(handler, LangChainTracerV1) for handler in callback_manager.handlers ): if tracer: callback_manager.add_handler(tracer, True) else: handler = LangChainTracerV1() handler.load_session(tracer_project) callback_manager.add_handler(handler, 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) 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.", e, ) 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