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langchain/langchain/callbacks/base.py

578 lines
21 KiB
Python

"""Base callback handler that can be used to handle callbacks from langchain."""
import asyncio
import functools
from abc import ABC, abstractmethod
from typing import Any, Dict, List, Union
from langchain.schema import AgentAction, AgentFinish, LLMResult
class BaseCallbackHandler(ABC):
"""Base callback handler that can be used to handle callbacks from langchain."""
@property
def always_verbose(self) -> bool:
"""Whether to call verbose callbacks even if verbose is False."""
return False
@property
def ignore_llm(self) -> bool:
"""Whether to ignore LLM callbacks."""
return False
@property
def ignore_chain(self) -> bool:
"""Whether to ignore chain callbacks."""
return False
@property
def ignore_agent(self) -> bool:
"""Whether to ignore agent callbacks."""
return False
@abstractmethod
def on_llm_start(
self, serialized: Dict[str, Any], prompts: List[str], **kwargs: Any
) -> Any:
"""Run when LLM starts running."""
@abstractmethod
def on_llm_new_token(self, token: str, **kwargs: Any) -> Any:
"""Run on new LLM token. Only available when streaming is enabled."""
@abstractmethod
def on_llm_end(self, response: LLMResult, **kwargs: Any) -> Any:
"""Run when LLM ends running."""
@abstractmethod
def on_llm_error(
self, error: Union[Exception, KeyboardInterrupt], **kwargs: Any
) -> Any:
"""Run when LLM errors."""
@abstractmethod
def on_chain_start(
self, serialized: Dict[str, Any], inputs: Dict[str, Any], **kwargs: Any
) -> Any:
"""Run when chain starts running."""
@abstractmethod
def on_chain_end(self, outputs: Dict[str, Any], **kwargs: Any) -> Any:
"""Run when chain ends running."""
@abstractmethod
def on_chain_error(
self, error: Union[Exception, KeyboardInterrupt], **kwargs: Any
) -> Any:
"""Run when chain errors."""
@abstractmethod
def on_tool_start(
self, serialized: Dict[str, Any], input_str: str, **kwargs: Any
) -> Any:
"""Run when tool starts running."""
@abstractmethod
def on_tool_end(self, output: str, **kwargs: Any) -> Any:
"""Run when tool ends running."""
@abstractmethod
def on_tool_error(
self, error: Union[Exception, KeyboardInterrupt], **kwargs: Any
) -> Any:
"""Run when tool errors."""
@abstractmethod
def on_text(self, text: str, **kwargs: Any) -> Any:
"""Run on arbitrary text."""
@abstractmethod
def on_agent_action(self, action: AgentAction, **kwargs: Any) -> Any:
"""Run on agent action."""
@abstractmethod
def on_agent_finish(self, finish: AgentFinish, **kwargs: Any) -> Any:
"""Run on agent end."""
class BaseCallbackManager(BaseCallbackHandler, ABC):
"""Base callback manager that can be used to handle callbacks from LangChain."""
@property
def is_async(self) -> bool:
"""Whether the callback manager is async."""
return False
@abstractmethod
def add_handler(self, callback: BaseCallbackHandler) -> None:
"""Add a handler to the callback manager."""
@abstractmethod
def remove_handler(self, handler: BaseCallbackHandler) -> None:
"""Remove a handler from the callback manager."""
def set_handler(self, handler: BaseCallbackHandler) -> None:
"""Set handler as the only handler on the callback manager."""
self.set_handlers([handler])
@abstractmethod
def set_handlers(self, handlers: List[BaseCallbackHandler]) -> None:
"""Set handlers as the only handlers on the callback manager."""
class CallbackManager(BaseCallbackManager):
"""Callback manager that can be used to handle callbacks from langchain."""
def __init__(self, handlers: List[BaseCallbackHandler]) -> None:
"""Initialize callback manager."""
self.handlers: List[BaseCallbackHandler] = handlers
def on_llm_start(
self,
serialized: Dict[str, Any],
prompts: List[str],
verbose: bool = False,
**kwargs: Any
) -> None:
"""Run when LLM starts running."""
for handler in self.handlers:
if not handler.ignore_llm:
if verbose or handler.always_verbose:
handler.on_llm_start(serialized, prompts, **kwargs)
def on_llm_new_token(
self, token: str, verbose: bool = False, **kwargs: Any
) -> None:
"""Run when LLM generates a new token."""
for handler in self.handlers:
if not handler.ignore_llm:
if verbose or handler.always_verbose:
handler.on_llm_new_token(token, **kwargs)
def on_llm_end(
self, response: LLMResult, verbose: bool = False, **kwargs: Any
) -> None:
"""Run when LLM ends running."""
for handler in self.handlers:
if not handler.ignore_llm:
if verbose or handler.always_verbose:
handler.on_llm_end(response)
def on_llm_error(
self,
error: Union[Exception, KeyboardInterrupt],
verbose: bool = False,
**kwargs: Any
) -> None:
"""Run when LLM errors."""
for handler in self.handlers:
if not handler.ignore_llm:
if verbose or handler.always_verbose:
handler.on_llm_error(error)
def on_chain_start(
self,
serialized: Dict[str, Any],
inputs: Dict[str, Any],
verbose: bool = False,
**kwargs: Any
) -> None:
"""Run when chain starts running."""
for handler in self.handlers:
if not handler.ignore_chain:
if verbose or handler.always_verbose:
handler.on_chain_start(serialized, inputs, **kwargs)
def on_chain_end(
self, outputs: Dict[str, Any], verbose: bool = False, **kwargs: Any
) -> None:
"""Run when chain ends running."""
for handler in self.handlers:
if not handler.ignore_chain:
if verbose or handler.always_verbose:
handler.on_chain_end(outputs)
def on_chain_error(
self,
error: Union[Exception, KeyboardInterrupt],
verbose: bool = False,
**kwargs: Any
) -> None:
"""Run when chain errors."""
for handler in self.handlers:
if not handler.ignore_chain:
if verbose or handler.always_verbose:
handler.on_chain_error(error)
def on_tool_start(
self,
serialized: Dict[str, Any],
input_str: str,
verbose: bool = False,
**kwargs: Any
) -> None:
"""Run when tool starts running."""
for handler in self.handlers:
if not handler.ignore_agent:
if verbose or handler.always_verbose:
handler.on_tool_start(serialized, input_str, **kwargs)
def on_agent_action(
self, action: AgentAction, verbose: bool = False, **kwargs: Any
) -> None:
"""Run when tool starts running."""
for handler in self.handlers:
if not handler.ignore_agent:
if verbose or handler.always_verbose:
handler.on_agent_action(action, **kwargs)
def on_tool_end(self, output: str, verbose: bool = False, **kwargs: Any) -> None:
"""Run when tool ends running."""
for handler in self.handlers:
if not handler.ignore_agent:
if verbose or handler.always_verbose:
handler.on_tool_end(output, **kwargs)
def on_tool_error(
self,
error: Union[Exception, KeyboardInterrupt],
verbose: bool = False,
**kwargs: Any
) -> None:
"""Run when tool errors."""
for handler in self.handlers:
if not handler.ignore_agent:
if verbose or handler.always_verbose:
handler.on_tool_error(error)
def on_text(self, text: str, verbose: bool = False, **kwargs: Any) -> None:
"""Run on additional input from chains and agents."""
for handler in self.handlers:
if verbose or handler.always_verbose:
handler.on_text(text, **kwargs)
def on_agent_finish(
self, finish: AgentFinish, verbose: bool = False, **kwargs: Any
) -> None:
"""Run on agent end."""
for handler in self.handlers:
if not handler.ignore_agent:
if verbose or handler.always_verbose:
handler.on_agent_finish(finish, **kwargs)
def add_handler(self, handler: BaseCallbackHandler) -> None:
"""Add a handler to the callback manager."""
self.handlers.append(handler)
def remove_handler(self, handler: BaseCallbackHandler) -> None:
"""Remove a handler from the callback manager."""
self.handlers.remove(handler)
def set_handlers(self, handlers: List[BaseCallbackHandler]) -> None:
"""Set handlers as the only handlers on the callback manager."""
self.handlers = handlers
class AsyncCallbackHandler(BaseCallbackHandler):
"""Async callback handler that can be used to handle callbacks from langchain."""
async def on_llm_start(
self, serialized: Dict[str, Any], prompts: List[str], **kwargs: Any
) -> None:
"""Run when LLM starts running."""
async def on_llm_new_token(self, token: str, **kwargs: Any) -> None:
"""Run on new LLM token. Only available when streaming is enabled."""
async def on_llm_end(self, response: LLMResult, **kwargs: Any) -> None:
"""Run when LLM ends running."""
async def on_llm_error(
self, error: Union[Exception, KeyboardInterrupt], **kwargs: Any
) -> None:
"""Run when LLM errors."""
async def on_chain_start(
self, serialized: Dict[str, Any], inputs: Dict[str, Any], **kwargs: Any
) -> None:
"""Run when chain starts running."""
async def on_chain_end(self, outputs: Dict[str, Any], **kwargs: Any) -> None:
"""Run when chain ends running."""
async def on_chain_error(
self, error: Union[Exception, KeyboardInterrupt], **kwargs: Any
) -> None:
"""Run when chain errors."""
async def on_tool_start(
self, serialized: Dict[str, Any], input_str: str, **kwargs: Any
) -> None:
"""Run when tool starts running."""
async def on_tool_end(self, output: str, **kwargs: Any) -> None:
"""Run when tool ends running."""
async def on_tool_error(
self, error: Union[Exception, KeyboardInterrupt], **kwargs: Any
) -> None:
"""Run when tool errors."""
async def on_text(self, text: str, **kwargs: Any) -> None:
"""Run on arbitrary text."""
async def on_agent_action(self, action: AgentAction, **kwargs: Any) -> None:
"""Run on agent action."""
async def on_agent_finish(self, finish: AgentFinish, **kwargs: Any) -> None:
"""Run on agent end."""
class AsyncCallbackManager(BaseCallbackManager):
"""Async callback manager that can be used to handle callbacks from LangChain."""
@property
def is_async(self) -> bool:
"""Return whether the handler is async."""
return True
def __init__(self, handlers: List[BaseCallbackHandler]) -> None:
"""Initialize callback manager."""
self.handlers: List[BaseCallbackHandler] = handlers
async def on_llm_start(
self,
serialized: Dict[str, Any],
prompts: List[str],
verbose: bool = False,
**kwargs: Any
) -> None:
"""Run when LLM starts running."""
for handler in self.handlers:
if not handler.ignore_llm:
if verbose or handler.always_verbose:
if asyncio.iscoroutinefunction(handler.on_llm_start):
await handler.on_llm_start(serialized, prompts, **kwargs)
else:
await asyncio.get_event_loop().run_in_executor(
None,
functools.partial(
handler.on_llm_start, serialized, prompts, **kwargs
),
)
async def on_llm_new_token(
self, token: str, verbose: bool = False, **kwargs: Any
) -> None:
"""Run on new LLM token. Only available when streaming is enabled."""
for handler in self.handlers:
if not handler.ignore_llm:
if verbose or handler.always_verbose:
if asyncio.iscoroutinefunction(handler.on_llm_new_token):
await handler.on_llm_new_token(token, **kwargs)
else:
await asyncio.get_event_loop().run_in_executor(
None,
functools.partial(
handler.on_llm_new_token, token, **kwargs
),
)
async def on_llm_end(
self, response: LLMResult, verbose: bool = False, **kwargs: Any
) -> None:
"""Run when LLM ends running."""
for handler in self.handlers:
if not handler.ignore_llm:
if verbose or handler.always_verbose:
if asyncio.iscoroutinefunction(handler.on_llm_end):
await handler.on_llm_end(response, **kwargs)
else:
await asyncio.get_event_loop().run_in_executor(
None,
functools.partial(handler.on_llm_end, response, **kwargs),
)
async def on_llm_error(
self,
error: Union[Exception, KeyboardInterrupt],
verbose: bool = False,
**kwargs: Any
) -> None:
"""Run when LLM errors."""
for handler in self.handlers:
if not handler.ignore_llm:
if verbose or handler.always_verbose:
if asyncio.iscoroutinefunction(handler.on_llm_error):
await handler.on_llm_error(error, **kwargs)
else:
await asyncio.get_event_loop().run_in_executor(
None,
functools.partial(handler.on_llm_error, error, **kwargs),
)
async def on_chain_start(
self,
serialized: Dict[str, Any],
inputs: Dict[str, Any],
verbose: bool = False,
**kwargs: Any
) -> None:
"""Run when chain starts running."""
for handler in self.handlers:
if not handler.ignore_chain:
if verbose or handler.always_verbose:
if asyncio.iscoroutinefunction(handler.on_chain_start):
await handler.on_chain_start(serialized, inputs, **kwargs)
else:
await asyncio.get_event_loop().run_in_executor(
None,
functools.partial(
handler.on_chain_start, serialized, inputs, **kwargs
),
)
async def on_chain_end(
self, outputs: Dict[str, Any], verbose: bool = False, **kwargs: Any
) -> None:
"""Run when chain ends running."""
for handler in self.handlers:
if not handler.ignore_chain:
if verbose or handler.always_verbose:
if asyncio.iscoroutinefunction(handler.on_chain_end):
await handler.on_chain_end(outputs, **kwargs)
else:
await asyncio.get_event_loop().run_in_executor(
None,
functools.partial(handler.on_chain_end, outputs, **kwargs),
)
async def on_chain_error(
self,
error: Union[Exception, KeyboardInterrupt],
verbose: bool = False,
**kwargs: Any
) -> None:
"""Run when chain errors."""
for handler in self.handlers:
if not handler.ignore_chain:
if verbose or handler.always_verbose:
if asyncio.iscoroutinefunction(handler.on_chain_error):
await handler.on_chain_error(error, **kwargs)
else:
await asyncio.get_event_loop().run_in_executor(
None,
functools.partial(handler.on_chain_error, error, **kwargs),
)
async def on_tool_start(
self,
serialized: Dict[str, Any],
input_str: str,
verbose: bool = False,
**kwargs: Any
) -> None:
"""Run when tool starts running."""
for handler in self.handlers:
if not handler.ignore_agent:
if verbose or handler.always_verbose:
if asyncio.iscoroutinefunction(handler.on_tool_start):
await handler.on_tool_start(serialized, input_str, **kwargs)
else:
await asyncio.get_event_loop().run_in_executor(
None,
functools.partial(
handler.on_tool_start, serialized, input_str, **kwargs
),
)
async def on_tool_end(
self, output: str, verbose: bool = False, **kwargs: Any
) -> None:
"""Run when tool ends running."""
for handler in self.handlers:
if not handler.ignore_agent:
if verbose or handler.always_verbose:
if asyncio.iscoroutinefunction(handler.on_tool_end):
await handler.on_tool_end(output, **kwargs)
else:
await asyncio.get_event_loop().run_in_executor(
None,
functools.partial(handler.on_tool_end, output, **kwargs),
)
async def on_tool_error(
self,
error: Union[Exception, KeyboardInterrupt],
verbose: bool = False,
**kwargs: Any
) -> None:
"""Run when tool errors."""
for handler in self.handlers:
if not handler.ignore_agent:
if verbose or handler.always_verbose:
if asyncio.iscoroutinefunction(handler.on_tool_error):
await handler.on_tool_error(error, **kwargs)
else:
await asyncio.get_event_loop().run_in_executor(
None,
functools.partial(handler.on_tool_error, error, **kwargs),
)
async def on_text(self, text: str, verbose: bool = False, **kwargs: Any) -> None:
"""Run when text is printed."""
for handler in self.handlers:
if verbose or handler.always_verbose:
if asyncio.iscoroutinefunction(handler.on_text):
await handler.on_text(text, **kwargs)
else:
await asyncio.get_event_loop().run_in_executor(
None, functools.partial(handler.on_text, text, **kwargs)
)
async def on_agent_action(
self, action: AgentAction, verbose: bool = False, **kwargs: Any
) -> None:
"""Run on agent action."""
for handler in self.handlers:
if not handler.ignore_agent:
if verbose or handler.always_verbose:
if asyncio.iscoroutinefunction(handler.on_agent_action):
await handler.on_agent_action(action, **kwargs)
else:
await asyncio.get_event_loop().run_in_executor(
None,
functools.partial(
handler.on_agent_action, action, **kwargs
),
)
async def on_agent_finish(
self, finish: AgentFinish, verbose: bool = False, **kwargs: Any
) -> None:
"""Run when agent finishes."""
for handler in self.handlers:
if not handler.ignore_agent:
if verbose or handler.always_verbose:
if asyncio.iscoroutinefunction(handler.on_agent_finish):
await handler.on_agent_finish(finish, **kwargs)
else:
await asyncio.get_event_loop().run_in_executor(
None,
functools.partial(
handler.on_agent_finish, finish, **kwargs
),
)
def add_handler(self, handler: BaseCallbackHandler) -> None:
"""Add a handler to the callback manager."""
self.handlers.append(handler)
def remove_handler(self, handler: BaseCallbackHandler) -> None:
"""Remove a handler from the callback manager."""
self.handlers.remove(handler)
def set_handlers(self, handlers: List[BaseCallbackHandler]) -> None:
"""Set handlers as the only handlers on the callback manager."""
self.handlers = handlers