fix: remove incorrect use of logging that caused log spam (#7763)

fix: use correct logger and remove blanket logging config

* 🔧 (mcp.py, url.py, watsonx.py, langwatch.py, mem0_chat_memory.py, models/watsonx.py, schema.py): Remove standard logging and integrate loguru for enhanced logging functionality and consistency across components.

src/backend/base/langflow/api/v1/mcp.py

@@ -1,7 +1,6 @@
 import asyncio
 import base64
 import json
-import logging
 from collections.abc import Awaitable, Callable
 from contextvars import ContextVar
 from functools import wraps
@@ -13,6 +12,7 @@ import pydantic
 from anyio import BrokenResourceError
 from fastapi import APIRouter, Depends, HTTPException, Request
 from fastapi.responses import StreamingResponse
+from loguru import logger
 from mcp import types
 from mcp.server import NotificationOptions, Server
 from mcp.server.sse import SseServerTransport
@@ -33,8 +33,6 @@ from langflow.services.deps import (
 )
 from langflow.services.storage.utils import build_content_type_from_extension
 
-logger = logging.getLogger(__name__)
-
 T = TypeVar("T")
 P = ParamSpec("P")
 

src/backend/base/langflow/components/data/url.py

@@ -1,8 +1,8 @@
-import logging
 import re
 
 from bs4 import BeautifulSoup
 from langchain_community.document_loaders import RecursiveUrlLoader
+from loguru import logger
 
 from langflow.custom.custom_component.component import Component
 from langflow.helpers.data import data_to_text
@@ -11,8 +11,6 @@ from langflow.schema import Data
 from langflow.schema.dataframe import DataFrame
 from langflow.schema.message import Message
 
-logger = logging.getLogger(__name__)
-
 
 class URLComponent(Component):
     """A component that loads and parses child links from a root URL recursively."""

src/backend/base/langflow/components/embeddings/watsonx.py

@@ -1,10 +1,10 @@
-import logging
 from typing import Any
 
 import requests
 from ibm_watsonx_ai import APIClient, Credentials
 from ibm_watsonx_ai.metanames import EmbedTextParamsMetaNames
 from langchain_ibm import WatsonxEmbeddings
+from loguru import logger
 from pydantic.v1 import SecretStr
 
 from langflow.base.embeddings.model import LCEmbeddingsModel
@@ -12,9 +12,6 @@ from langflow.field_typing import Embeddings
 from langflow.io import BoolInput, DropdownInput, IntInput, SecretStrInput, StrInput
 from langflow.schema.dotdict import dotdict
 
-logging.basicConfig(level=logging.INFO)
-logger = logging.getLogger(__name__)
-
 
 class WatsonxEmbeddingsComponent(LCEmbeddingsModel):
     display_name = "IBM watsonx.ai Embeddings"
@@ -92,7 +89,7 @@ class WatsonxEmbeddingsComponent(LCEmbeddingsModel):
             data = response.json()
             models = [model["model_id"] for model in data.get("resources", [])]
             return sorted(models)
-        except Exception:
+        except Exception:  # noqa: BLE001
             logger.exception("Error fetching models")
             return WatsonxEmbeddingsComponent._default_models
 
@@ -112,7 +109,7 @@ class WatsonxEmbeddingsComponent(LCEmbeddingsModel):
                     build_config.model_name.value = models[0]
                 info_message = f"Updated model options: {len(models)} models found in {build_config.url.value}"
                 logger.info(info_message)
-            except Exception:
+            except Exception:  # noqa: BLE001
                 logger.exception("Error updating model options.")
 
     def build_embeddings(self) -> Embeddings:

src/backend/base/langflow/components/langwatch/langwatch.py

@@ -1,9 +1,9 @@
 import json
-import logging
 import os
 from typing import Any
 
 import httpx
+from loguru import logger
 
 from langflow.custom import Component
 from langflow.inputs.inputs import MultilineInput
@@ -20,9 +20,6 @@ from langflow.io import (
 from langflow.schema import Data
 from langflow.schema.dotdict import dotdict
 
-logging.basicConfig(level=logging.INFO)
-logger = logging.getLogger(__name__)
-
 
 class LangWatchComponent(Component):
     display_name: str = "LangWatch Evaluator"

src/backend/base/langflow/components/memories/mem0_chat_memory.py

@@ -1,6 +1,6 @@
-import logging
 import os
 
+from loguru import logger
 from mem0 import Memory, MemoryClient
 
 from langflow.base.memory.model import LCChatMemoryComponent
@@ -14,8 +14,6 @@ from langflow.inputs import (
 from langflow.io import Output
 from langflow.schema import Data
 
-logger = logging.getLogger(__name__)
-
 
 class Mem0MemoryComponent(LCChatMemoryComponent):
     display_name = "Mem0 Chat Memory"

src/backend/base/langflow/components/models/watsonx.py

@@ -1,9 +1,9 @@
 import json
-import logging
 from typing import Any
 
 import requests
 from langchain_ibm import ChatWatsonx
+from loguru import logger
 from pydantic.v1 import SecretStr
 
 from langflow.base.models.model import LCModelComponent
@@ -12,9 +12,6 @@ from langflow.field_typing.range_spec import RangeSpec
 from langflow.inputs import BoolInput, DropdownInput, IntInput, SecretStrInput, SliderInput, StrInput
 from langflow.schema.dotdict import dotdict
 
-logging.basicConfig(level=logging.INFO)
-logger = logging.getLogger(__name__)
-
 
 class WatsonxAIComponent(LCModelComponent):
     display_name = "IBM watsonx.ai"
@@ -150,7 +147,7 @@ class WatsonxAIComponent(LCModelComponent):
             data = response.json()
             models = [model["model_id"] for model in data.get("resources", [])]
             return sorted(models)
-        except Exception:
+        except Exception:  # noqa: BLE001
             logger.exception("Error fetching models. Using default models.")
             return WatsonxAIComponent._default_models
 
@@ -166,7 +163,7 @@ class WatsonxAIComponent(LCModelComponent):
                     build_config.model_name.value = models[0]
                 info_message = f"Updated model options: {len(models)} models found in {build_config.url.value}"
                 logger.info(info_message)
-            except Exception:
+            except Exception:  # noqa: BLE001
                 logger.exception("Error updating model options.")
 
     def build_model(self) -> LanguageModel:

src/backend/base/langflow/services/tracing/schema.py

@@ -1,13 +1,9 @@
-import logging
-
 from pydantic import BaseModel, field_serializer
 from pydantic_core import PydanticSerializationError
 
 from langflow.schema.log import LoggableType
 from langflow.serialization.serialization import serialize
 
-logger = logging.getLogger(__name__)
-
 
 class Log(BaseModel):
     name: str