Files
langchain/langchain/callbacks/stdout.py
2022-12-29 22:23:15 -05:00

75 lines
2.3 KiB
Python

"""Callback Handler that prints to std out."""
from typing import Any, Dict, List, Optional
from langchain.callbacks.base import BaseCallbackHandler
from langchain.input import print_text
from langchain.schema import AgentAction, LLMResult
class StdOutCallbackHandler(BaseCallbackHandler):
"""Callback Handler that prints to std out."""
def on_llm_start(
self, serialized: Dict[str, Any], prompts: List[str], **kwargs: Any
) -> None:
"""Print out the prompts."""
print("Prompts after formatting:")
for prompt in prompts:
print_text(prompt, color="green", end="\n")
def on_llm_end(self, response: LLMResult) -> None:
"""Do nothing."""
pass
def on_llm_error(self, error: Exception) -> None:
"""Do nothing."""
pass
def on_chain_start(
self, serialized: Dict[str, Any], inputs: Dict[str, Any], **kwargs: Any
) -> None:
"""Print out that we are entering a chain."""
class_name = serialized["name"]
print(f"\n\n\033[1m> Entering new {class_name} chain...\033[0m")
def on_chain_end(self, outputs: Dict[str, Any]) -> None:
"""Print out that we finished a chain."""
print("\n\033[1m> Finished chain.\033[0m")
def on_chain_error(self, error: Exception) -> None:
"""Do nothing."""
pass
def on_tool_start(
self,
serialized: Dict[str, Any],
action: AgentAction,
color: Optional[str] = None,
**kwargs: Any,
) -> None:
"""Print out the log in specified color."""
print_text(action.log, color=color)
def on_tool_end(
self,
output: str,
color: Optional[str] = None,
observation_prefix: Optional[str] = None,
llm_prefix: Optional[str] = None,
**kwargs: Any,
) -> None:
"""If not the final action, print out observation."""
print_text(f"\n{observation_prefix}")
print_text(output, color=color)
print_text(f"\n{llm_prefix}")
def on_tool_error(self, error: Exception) -> None:
"""Do nothing."""
pass
def on_agent_end(
self, log: str, color: Optional[str] = None, **kwargs: Any
) -> None:
"""Run when agent ends."""
print_text(log, color=color)