remove logger (#491)

remove old logging class (no longer used anyways)

langchain/__init__.py

@@ -20,7 +20,6 @@ from langchain.chains import (
 from langchain.docstore import InMemoryDocstore, Wikipedia
 from langchain.llms import Cohere, HuggingFaceHub, OpenAI
 from langchain.llms.huggingface_pipeline import HuggingFacePipeline
-from langchain.logger import BaseLogger, StdOutLogger
 from langchain.prompts import (
     BasePromptTemplate,
     FewShotPromptTemplate,
@@ -31,7 +30,6 @@ from langchain.serpapi import SerpAPIChain, SerpAPIWrapper
 from langchain.sql_database import SQLDatabase
 from langchain.vectorstores import FAISS, ElasticVectorSearch
 
-logger: BaseLogger = StdOutLogger()
 verbose: bool = False
 llm_cache: Optional[BaseCache] = None
 set_default_callback_manager()

langchain/logger.py

@@ -1,71 +0,0 @@
-"""BETA: everything in here is highly experimental, do not rely on."""
-from typing import Any, Optional
-
-from langchain.input import print_text
-from langchain.schema import AgentAction, AgentFinish
-
-
-class BaseLogger:
-    """Base logging interface."""
-
-    def log_agent_start(self, text: str, **kwargs: Any) -> None:
-        """Log the start of an agent interaction."""
-        pass
-
-    def log_agent_end(self, finish: AgentFinish, **kwargs: Any) -> None:
-        """Log the end of an agent interaction."""
-        pass
-
-    def log_agent_action(self, action: AgentAction, **kwargs: Any) -> None:
-        """Log agent action decision."""
-        pass
-
-    def log_agent_observation(self, observation: str, **kwargs: Any) -> None:
-        """Log agent observation."""
-        pass
-
-    def log_llm_inputs(self, inputs: dict, prompt: str, **kwargs: Any) -> None:
-        """Log LLM inputs."""
-        pass
-
-    def log_llm_response(self, output: str, **kwargs: Any) -> None:
-        """Log LLM response."""
-        pass
-
-
-class StdOutLogger(BaseLogger):
-    """Interface for printing things to stdout."""
-
-    def log_agent_start(self, text: str, **kwargs: Any) -> None:
-        """Print the text to start the agent."""
-        print_text(text)
-
-    def log_agent_action(
-        self, action: AgentAction, color: Optional[str] = None, **kwargs: Any
-    ) -> None:
-        """Print the log of the action in a certain color."""
-        print_text(action.log, color=color)
-
-    def log_agent_observation(
-        self,
-        observation: str,
-        color: Optional[str] = None,
-        observation_prefix: Optional[str] = None,
-        llm_prefix: Optional[str] = None,
-        **kwargs: Any,
-    ) -> None:
-        """Print the observation in a special color."""
-        print_text(f"\n{observation_prefix}")
-        print_text(observation, color=color)
-        print_text(f"\n{llm_prefix}")
-
-    def log_llm_inputs(self, inputs: dict, prompt: str, **kwargs: Any) -> None:
-        """Print the prompt in green."""
-        print("Prompt after formatting:")
-        print_text(prompt, color="green", end="\n")
-
-    def log_agent_end(
-        self, finish: AgentFinish, color: Optional[str] = None, **kwargs: Any
-    ) -> None:
-        """Log the end of an agent interaction."""
-        print_text(finish.log, color=color)