Code Formatting (#1828)

.pre-commit-config.yaml

@@ -3,7 +3,7 @@ repos:
     hooks:
       - id: ruff
         name: Ruff
-        entry: ruff
+        entry: ruff check
         language: system
         types: [python]
         args: [--fix] 

cookbooks/add_memory_using_qdrant_cloud.py

@@ -1,6 +1,8 @@
 # This example shows how to use vector config to use QDRANT CLOUD
 import os
+
 from dotenv import load_dotenv
+
 from mem0 import Memory
 
 # Loading OpenAI API Key

embedchain/embedchain/app.py

@@ -9,7 +9,6 @@ import requests
 import yaml
 from tqdm import tqdm
 
-from mem0 import Memory
 from embedchain.cache import (
     Config,
     ExactMatchEvaluation,
@@ -26,7 +25,11 @@ from embedchain.embedchain import EmbedChain
 from embedchain.embedder.base import BaseEmbedder
 from embedchain.embedder.openai import OpenAIEmbedder
 from embedchain.evaluation.base import BaseMetric
-from embedchain.evaluation.metrics import AnswerRelevance, ContextRelevance, Groundedness
+from embedchain.evaluation.metrics import (
+    AnswerRelevance,
+    ContextRelevance,
+    Groundedness,
+)
 from embedchain.factory import EmbedderFactory, LlmFactory, VectorDBFactory
 from embedchain.helpers.json_serializable import register_deserializable
 from embedchain.llm.base import BaseLlm
@@ -36,6 +39,7 @@ from embedchain.utils.evaluation import EvalData, EvalMetric
 from embedchain.utils.misc import validate_config
 from embedchain.vectordb.base import BaseVectorDB
 from embedchain.vectordb.chroma import ChromaDB
+from mem0 import Memory
 
 logger = logging.getLogger(__name__)
 

embedchain/embedchain/bots/base.py

@@ -3,8 +3,10 @@ from typing import Any
 from embedchain import App
 from embedchain.config import AddConfig, AppConfig, BaseLlmConfig
 from embedchain.embedder.openai import OpenAIEmbedder
-from embedchain.helpers.json_serializable import (JSONSerializable,
-                                                  register_deserializable)
+from embedchain.helpers.json_serializable import (
+    JSONSerializable,
+    register_deserializable,
+)
 from embedchain.llm.openai import OpenAILlm
 from embedchain.vectordb.chroma import ChromaDB
 

embedchain/embedchain/cache.py

@@ -9,10 +9,12 @@ from gptcache.manager import get_data_manager
 from gptcache.manager.scalar_data.base import Answer
 from gptcache.manager.scalar_data.base import DataType as CacheDataType
 from gptcache.session import Session
-from gptcache.similarity_evaluation.distance import \
-    SearchDistanceEvaluation  # noqa: F401
-from gptcache.similarity_evaluation.exact_match import \
-    ExactMatchEvaluation  # noqa: F401
+from gptcache.similarity_evaluation.distance import (  # noqa: F401
+    SearchDistanceEvaluation,
+)
+from gptcache.similarity_evaluation.exact_match import (  # noqa: F401
+    ExactMatchEvaluation,
+)
 
 logger = logging.getLogger(__name__)
 

embedchain/embedchain/cli.py

@@ -14,13 +14,21 @@ import requests
 from rich.console import Console
 
 from embedchain.telemetry.posthog import AnonymousTelemetry
-from embedchain.utils.cli import (deploy_fly, deploy_gradio_app,
-                                  deploy_hf_spaces, deploy_modal,
-                                  deploy_render, deploy_streamlit,
-                                  get_pkg_path_from_name, setup_fly_io_app,
-                                  setup_gradio_app, setup_hf_app,
-                                  setup_modal_com_app, setup_render_com_app,
-                                  setup_streamlit_io_app)
+from embedchain.utils.cli import (
+    deploy_fly,
+    deploy_gradio_app,
+    deploy_hf_spaces,
+    deploy_modal,
+    deploy_render,
+    deploy_streamlit,
+    get_pkg_path_from_name,
+    setup_fly_io_app,
+    setup_gradio_app,
+    setup_hf_app,
+    setup_modal_com_app,
+    setup_render_com_app,
+    setup_streamlit_io_app,
+)
 
 console = Console()
 api_process = None

embedchain/embedchain/config/__init__.py

@@ -8,8 +8,8 @@ from .embedder.base import BaseEmbedderConfig
 from .embedder.base import BaseEmbedderConfig as EmbedderConfig
 from .embedder.ollama import OllamaEmbedderConfig
 from .llm.base import BaseLlmConfig
+from .mem0_config import Mem0Config
 from .vector_db.chroma import ChromaDbConfig
 from .vector_db.elasticsearch import ElasticsearchDBConfig
 from .vector_db.opensearch import OpenSearchDBConfig
 from .vector_db.zilliz import ZillizDBConfig
-from .mem0_config import Mem0Config

embedchain/embedchain/config/evaluation/__init__.py

@@ -1,2 +1,5 @@
-from .base import (AnswerRelevanceConfig, ContextRelevanceConfig,  # noqa: F401
-                   GroundednessConfig)
+from .base import (  # noqa: F401
+    AnswerRelevanceConfig,
+    ContextRelevanceConfig,
+    GroundednessConfig,
+)

embedchain/embedchain/config/llm/base.py

@@ -1,9 +1,9 @@
 import json
 import logging
 import re
-from string import Template
-from typing import Any, Mapping, Optional, Dict, Union
 from pathlib import Path
+from string import Template
+from typing import Any, Dict, Mapping, Optional, Union
 
 import httpx
 

embedchain/embedchain/embedchain.py

@@ -6,7 +6,12 @@ from typing import Any, Optional, Union
 from dotenv import load_dotenv
 from langchain.docstore.document import Document
 
-from embedchain.cache import adapt, get_gptcache_session, gptcache_data_convert, gptcache_update_cache_callback
+from embedchain.cache import (
+    adapt,
+    get_gptcache_session,
+    gptcache_data_convert,
+    gptcache_update_cache_callback,
+)
 from embedchain.chunkers.base_chunker import BaseChunker
 from embedchain.config import AddConfig, BaseLlmConfig, ChunkerConfig
 from embedchain.config.base_app_config import BaseAppConfig
@@ -16,7 +21,12 @@ from embedchain.embedder.base import BaseEmbedder
 from embedchain.helpers.json_serializable import JSONSerializable
 from embedchain.llm.base import BaseLlm
 from embedchain.loaders.base_loader import BaseLoader
-from embedchain.models.data_type import DataType, DirectDataType, IndirectDataType, SpecialDataType
+from embedchain.models.data_type import (
+    DataType,
+    DirectDataType,
+    IndirectDataType,
+    SpecialDataType,
+)
 from embedchain.utils.misc import detect_datatype, is_valid_json_string
 from embedchain.vectordb.base import BaseVectorDB
 

embedchain/embedchain/embedder/clarifai.py

@@ -1,18 +1,18 @@
 import os
 from typing import Optional, Union
 
+from chromadb import EmbeddingFunction, Embeddings
+
 from embedchain.config import BaseEmbedderConfig
 from embedchain.embedder.base import BaseEmbedder
 
-from chromadb import EmbeddingFunction, Embeddings
-
 
 class ClarifaiEmbeddingFunction(EmbeddingFunction):
     def __init__(self, config: BaseEmbedderConfig) -> None:
         super().__init__()
         try:
-            from clarifai.client.model import Model
             from clarifai.client.input import Inputs
+            from clarifai.client.model import Model
         except ModuleNotFoundError:
             raise ModuleNotFoundError(
                 "The required dependencies for ClarifaiEmbeddingFunction are not installed."

embedchain/embedchain/embedder/gpt4all.py

@@ -9,7 +9,9 @@ class GPT4AllEmbedder(BaseEmbedder):
     def __init__(self, config: Optional[BaseEmbedderConfig] = None):
         super().__init__(config=config)
 
-        from langchain_community.embeddings import GPT4AllEmbeddings as LangchainGPT4AllEmbeddings
+        from langchain_community.embeddings import (
+            GPT4AllEmbeddings as LangchainGPT4AllEmbeddings,
+        )
 
         model_name = self.config.model or "all-MiniLM-L6-v2-f16.gguf"
         gpt4all_kwargs = {'allow_download': 'True'}

embedchain/embedchain/embedder/openai.py

@@ -3,7 +3,6 @@ from typing import Optional
 
 from chromadb.utils.embedding_functions import OpenAIEmbeddingFunction
 
-
 from embedchain.config import BaseEmbedderConfig
 from embedchain.embedder.base import BaseEmbedder
 from embedchain.models import VectorDimensions

embedchain/embedchain/llm/aws_bedrock.py

@@ -45,8 +45,9 @@ class AWSBedrockLlm(BaseLlm):
         }
 
         if config.stream:
-            from langchain.callbacks.streaming_stdout import \
-                StreamingStdOutCallbackHandler
+            from langchain.callbacks.streaming_stdout import (
+                StreamingStdOutCallbackHandler,
+            )
 
             kwargs["streaming"] = True
             kwargs["callbacks"] = [StreamingStdOutCallbackHandler()]

embedchain/embedchain/llm/base.py

@@ -5,7 +5,6 @@ from typing import Any, Optional
 
 from langchain.schema import BaseMessage as LCBaseMessage
 
-from embedchain.constants import SQLITE_PATH
 from embedchain.config import BaseLlmConfig
 from embedchain.config.llm.base import (
     DEFAULT_PROMPT,
@@ -13,6 +12,7 @@ from embedchain.config.llm.base import (
     DEFAULT_PROMPT_WITH_MEM0_MEMORY_TEMPLATE,
     DOCS_SITE_PROMPT_TEMPLATE,
 )
+from embedchain.constants import SQLITE_PATH
 from embedchain.core.db.database import init_db, setup_engine
 from embedchain.helpers.json_serializable import JSONSerializable
 from embedchain.memory.base import ChatHistory

embedchain/embedchain/llm/gpt4all.py

@@ -26,8 +26,7 @@ class GPT4ALLLlm(BaseLlm):
     @staticmethod
     def _get_instance(model):
         try:
-            from langchain_community.llms.gpt4all import \
-                GPT4All as LangchainGPT4All
+            from langchain_community.llms.gpt4all import GPT4All as LangchainGPT4All
         except ModuleNotFoundError:
             raise ModuleNotFoundError(
                 "The GPT4All python package is not installed. Please install it with `pip install --upgrade embedchain[opensource]`"  # noqa E501

embedchain/embedchain/llm/jina.py

@@ -35,8 +35,9 @@ class JinaLlm(BaseLlm):
         if config.top_p:
             kwargs["model_kwargs"]["top_p"] = config.top_p
         if config.stream:
-            from langchain.callbacks.streaming_stdout import \
-                StreamingStdOutCallbackHandler
+            from langchain.callbacks.streaming_stdout import (
+                StreamingStdOutCallbackHandler,
+            )
 
             chat = JinaChat(**kwargs, streaming=config.stream, callbacks=[StreamingStdOutCallbackHandler()])
         else:

embedchain/embedchain/loaders/pdf_file.py

@@ -1,6 +1,7 @@
 import hashlib
 
 from langchain_community.document_loaders import PyPDFLoader
+
 from embedchain.helpers.json_serializable import register_deserializable
 from embedchain.loaders.base_loader import BaseLoader
 from embedchain.utils.misc import clean_string

embedchain/embedchain/loaders/rss_feed.py

@@ -28,7 +28,9 @@ class RSSFeedLoader(BaseLoader):
     @staticmethod
     def get_rss_content(url: str):
         try:
-            from langchain_community.document_loaders import RSSFeedLoader as LangchainRSSFeedLoader
+            from langchain_community.document_loaders import (
+                RSSFeedLoader as LangchainRSSFeedLoader,
+            )
         except ImportError:
             raise ImportError(
                 """RSSFeedLoader file requires extra dependencies.

embedchain/embedchain/loaders/unstructured_file.py

@@ -11,8 +11,7 @@ class UnstructuredLoader(BaseLoader):
         """Load data from an Unstructured file."""
         try:
             import unstructured  # noqa: F401
-            from langchain_community.document_loaders import \
-                UnstructuredFileLoader
+            from langchain_community.document_loaders import UnstructuredFileLoader
         except ImportError:
             raise ImportError(
                 'Unstructured file requires extra dependencies. Install with `pip install "unstructured[local-inference, all-docs]"`'  # noqa: E501

embedchain/embedchain/vectordb/zilliz.py

@@ -6,8 +6,15 @@ from embedchain.helpers.json_serializable import register_deserializable
 from embedchain.vectordb.base import BaseVectorDB
 
 try:
-    from pymilvus import (Collection, CollectionSchema, DataType, FieldSchema,
-                          MilvusClient, connections, utility)
+    from pymilvus import (
+        Collection,
+        CollectionSchema,
+        DataType,
+        FieldSchema,
+        MilvusClient,
+        connections,
+        utility,
+    )
 except ImportError:
     raise ImportError(
         "Zilliz requires extra dependencies. Install with `pip install --upgrade embedchain[milvus]`"

embedchain/examples/chat-pdf/app.py

@@ -8,8 +8,7 @@ import streamlit as st
 
 from embedchain import App
 from embedchain.config import BaseLlmConfig
-from embedchain.helpers.callbacks import (StreamingStdOutCallbackHandlerYield,
-                                          generate)
+from embedchain.helpers.callbacks import StreamingStdOutCallbackHandlerYield, generate
 
 
 def embedchain_bot(db_path, api_key):

embedchain/examples/sadhguru-ai/app.py

@@ -8,8 +8,7 @@ import streamlit as st
 
 from embedchain import App
 from embedchain.config import BaseLlmConfig
-from embedchain.helpers.callbacks import (StreamingStdOutCallbackHandlerYield,
-                                          generate)
+from embedchain.helpers.callbacks import StreamingStdOutCallbackHandlerYield, generate
 
 
 @st.cache_resource

embedchain/examples/unacademy-ai/app.py

@@ -4,8 +4,7 @@ import streamlit as st
 
 from embedchain import App
 from embedchain.config import BaseLlmConfig
-from embedchain.helpers.callbacks import (StreamingStdOutCallbackHandlerYield,
-                                          generate)
+from embedchain.helpers.callbacks import StreamingStdOutCallbackHandlerYield, generate
 
 
 @st.cache_resource

embedchain/tests/embedder/test_azure_openai_embedder.py

@@ -1,4 +1,4 @@
-from unittest.mock import patch, Mock
+from unittest.mock import Mock, patch
 
 import httpx
 

embedchain/tests/embedder/test_huggingface_embedder.py

@@ -1,5 +1,6 @@
 
 from unittest.mock import patch
+
 from embedchain.config import BaseEmbedderConfig
 from embedchain.embedder.huggingface import HuggingFaceEmbedder
 

embedchain/tests/helper_classes/test_json_serializable.py

@@ -4,8 +4,10 @@ from string import Template
 
 from embedchain import App
 from embedchain.config import AppConfig, BaseLlmConfig
-from embedchain.helpers.json_serializable import (JSONSerializable,
-                                                  register_deserializable)
+from embedchain.helpers.json_serializable import (
+    JSONSerializable,
+    register_deserializable,
+)
 
 
 class TestJsonSerializable(unittest.TestCase):

embedchain/tests/llm/conftest.py

@@ -1,7 +1,9 @@
 
 from unittest import mock
+
 import pytest
 
+
 @pytest.fixture(autouse=True)
 def mock_alembic_command_upgrade():
     with mock.patch("alembic.command.upgrade"):

embedchain/tests/llm/test_azure_openai.py

@@ -1,4 +1,4 @@
-from unittest.mock import Mock, MagicMock, patch
+from unittest.mock import MagicMock, Mock, patch
 
 import httpx
 import pytest

embedchain/tests/llm/test_ollama.py

@@ -1,8 +1,8 @@
 import pytest
+from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler
 
 from embedchain.config import BaseLlmConfig
 from embedchain.llm.ollama import OllamaLlm
-from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler
 
 
 @pytest.fixture

embedchain/tests/models/test_data_type.py

@@ -1,5 +1,9 @@
-from embedchain.models.data_type import (DataType, DirectDataType,
-                                         IndirectDataType, SpecialDataType)
+from embedchain.models.data_type import (
+    DataType,
+    DirectDataType,
+    IndirectDataType,
+    SpecialDataType,
+)
 
 
 def test_subclass_types_in_data_type():

mem0/__init__.py

@@ -2,5 +2,5 @@ import importlib.metadata
 
 __version__ = importlib.metadata.version("mem0ai")
 
-from mem0.memory.main import Memory  # noqa
 from mem0.client.main import MemoryClient  # noqa
+from mem0.memory.main import Memory  # noqa

mem0/configs/base.py

@@ -1,12 +1,13 @@
 import os
 from typing import Any, Dict, Optional
+
 from pydantic import BaseModel, Field
 
-from mem0.memory.setup import mem0_dir
-from mem0.vector_stores.configs import VectorStoreConfig
-from mem0.llms.configs import LlmConfig
 from mem0.embeddings.configs import EmbedderConfig
 from mem0.graphs.configs import GraphStoreConfig
+from mem0.llms.configs import LlmConfig
+from mem0.memory.setup import mem0_dir
+from mem0.vector_stores.configs import VectorStoreConfig
 
 
 class MemoryItem(BaseModel):

mem0/configs/embeddings/base.py

@@ -1,9 +1,10 @@
 from abc import ABC
-from mem0.configs.base import AzureConfig
-from typing import Optional, Union, Dict
+from typing import Dict, Optional, Union
 
 import httpx
 
+from mem0.configs.base import AzureConfig
+
 
 class BaseEmbedderConfig(ABC):
     """

mem0/configs/llms/base.py

@@ -1,9 +1,10 @@
 from abc import ABC
-from mem0.configs.base import AzureConfig
-from typing import Optional, Union, Dict
+from typing import Dict, Optional, Union
 
 import httpx
 
+from mem0.configs.base import AzureConfig
+
 
 class BaseLlmConfig(ABC):
     """

mem0/configs/vector_stores/chroma.py

@@ -1,6 +1,6 @@
 import subprocess
 import sys
-from typing import Optional, ClassVar, Dict, Any
+from typing import Any, ClassVar, Dict, Optional
 
 from pydantic import BaseModel, Field, model_validator
 

mem0/configs/vector_stores/pgvector.py

@@ -1,4 +1,4 @@
-from typing import Optional, Dict, Any
+from typing import Any, Dict, Optional
 
 from pydantic import BaseModel, Field, model_validator
 

mem0/configs/vector_stores/qdrant.py

@@ -1,5 +1,6 @@
+from typing import Any, ClassVar, Dict, Optional
+
 from pydantic import BaseModel, Field, model_validator
-from typing import Optional, ClassVar, Dict, Any
 
 
 class QdrantConfig(BaseModel):

mem0/embeddings/base.py

@@ -1,5 +1,5 @@
-from typing import Optional
 from abc import ABC, abstractmethod
+from typing import Optional
 
 from mem0.configs.embeddings.base import BaseEmbedderConfig
 

mem0/graphs/configs.py

@@ -1,7 +1,10 @@
 from typing import Optional
+
 from pydantic import BaseModel, Field, field_validator, model_validator
+
 from mem0.llms.configs import LlmConfig
 
+
 class Neo4jConfig(BaseModel):
     url: Optional[str] = Field(None, description="Host address for the graph database")
     username: Optional[str] = Field(None, description="Username for the graph database")

mem0/llms/anthropic.py

@@ -1,7 +1,4 @@
-import subprocess
-import sys
 import os
-import json
 from typing import Dict, List, Optional
 
 try:
@@ -9,8 +6,8 @@ try:
 except ImportError:
    raise ImportError("The 'anthropic' library is required. Please install it using 'pip install anthropic'.")
 
-from mem0.llms.base import LLMBase
 from mem0.configs.llms.base import BaseLlmConfig
+from mem0.llms.base import LLMBase
 
 
 class AnthropicLLM(LLMBase):

mem0/llms/aws_bedrock.py

@@ -1,16 +1,14 @@
-import subprocess
-import sys
-import os
 import json
-from typing import Dict, List, Optional, Any
+import os
+from typing import Any, Dict, List, Optional
 
 try:
     import boto3
 except ImportError:
     raise ImportError("The 'boto3' library is required. Please install it using 'pip install boto3'.")
 
-from mem0.llms.base import LLMBase
 from mem0.configs.llms.base import BaseLlmConfig
+from mem0.llms.base import LLMBase
 
 
 class AWSBedrockLLM(LLMBase):

mem0/llms/azure_openai.py

@@ -1,11 +1,11 @@
-import os
 import json
+import os
 from typing import Dict, List, Optional
 
 from openai import AzureOpenAI
 
-from mem0.llms.base import LLMBase
 from mem0.configs.llms.base import BaseLlmConfig
+from mem0.llms.base import LLMBase
 
 
 class AzureOpenAILLM(LLMBase):

mem0/llms/base.py

@@ -1,5 +1,5 @@
-from typing import Optional
 from abc import ABC, abstractmethod
+from typing import Optional
 
 from mem0.configs.llms.base import BaseLlmConfig
 

mem0/llms/groq.py

@@ -1,7 +1,5 @@
-import subprocess
-import sys
-import os
 import json
+import os
 from typing import Dict, List, Optional
 
 try:
@@ -9,8 +7,8 @@ try:
 except ImportError:
     raise ImportError("The 'groq' library is required. Please install it using 'pip install groq'.")
 
-from mem0.llms.base import LLMBase
 from mem0.configs.llms.base import BaseLlmConfig
+from mem0.llms.base import LLMBase
 
 
 class GroqLLM(LLMBase):

mem0/llms/litellm.py

@@ -1,5 +1,3 @@
-import subprocess
-import sys
 import json
 from typing import Dict, List, Optional
 
@@ -8,8 +6,8 @@ try:
 except ImportError:
     raise ImportError("The 'litellm' library is required. Please install it using 'pip install litellm'.")
 
-from mem0.llms.base import LLMBase
 from mem0.configs.llms.base import BaseLlmConfig
+from mem0.llms.base import LLMBase
 
 
 class LiteLLM(LLMBase):

mem0/llms/ollama.py

@@ -1,5 +1,3 @@
-import subprocess
-import sys
 from typing import Dict, List, Optional
 
 try:
@@ -7,8 +5,8 @@ try:
 except ImportError:
     raise ImportError("The 'ollama' library is required. Please install it using 'pip install ollama'.")
 
-from mem0.llms.base import LLMBase
 from mem0.configs.llms.base import BaseLlmConfig
+from mem0.llms.base import LLMBase
 
 
 class OllamaLLM(LLMBase):

mem0/llms/openai.py

@@ -1,11 +1,11 @@
-import os
 import json
+import os
 from typing import Dict, List, Optional
 
 from openai import OpenAI
 
-from mem0.llms.base import LLMBase
 from mem0.configs.llms.base import BaseLlmConfig
+from mem0.llms.base import LLMBase
 
 
 class OpenAILLM(LLMBase):

mem0/llms/openai_structured.py

@@ -1,10 +1,11 @@
-import os, json
+import json
+import os
 from typing import Dict, List, Optional
 
 from openai import OpenAI
 
-from mem0.llms.base import LLMBase
 from mem0.configs.llms.base import BaseLlmConfig
+from mem0.llms.base import LLMBase
 
 
 class OpenAIStructuredLLM(LLMBase):

mem0/llms/together.py

@@ -1,7 +1,5 @@
-import subprocess
-import sys
-import os
 import json
+import os
 from typing import Dict, List, Optional
 
 try:
@@ -9,8 +7,8 @@ try:
 except ImportError:
     raise ImportError("The 'together' library is required. Please install it using 'pip install together'.")
 
-from mem0.llms.base import LLMBase
 from mem0.configs.llms.base import BaseLlmConfig
+from mem0.llms.base import LLMBase
 
 
 class TogetherLLM(LLMBase):

mem0/memory/graph_memory.py

@@ -1,10 +1,17 @@
-import json
 import logging
+
 from langchain_community.graphs import Neo4jGraph
 from rank_bm25 import BM25Okapi
-from mem0.utils.factory import LlmFactory, EmbedderFactory
-from mem0.graphs.utils import get_update_memory_messages, EXTRACT_ENTITIES_PROMPT
-from mem0.graphs.tools import UPDATE_MEMORY_TOOL_GRAPH, ADD_MEMORY_TOOL_GRAPH, NOOP_TOOL, ADD_MESSAGE_TOOL, SEARCH_TOOL
+
+from mem0.graphs.tools import (
+    ADD_MEMORY_TOOL_GRAPH,
+    ADD_MESSAGE_TOOL,
+    NOOP_TOOL,
+    SEARCH_TOOL,
+    UPDATE_MEMORY_TOOL_GRAPH,
+)
+from mem0.graphs.utils import EXTRACT_ENTITIES_PROMPT, get_update_memory_messages
+from mem0.utils.factory import EmbedderFactory, LlmFactory
 
 logger = logging.getLogger(__name__)
 

mem0/memory/main.py

@@ -1,22 +1,24 @@
-import logging
+import concurrent
 import hashlib
-import uuid
-import pytz
 import json
+import logging
+import threading
+import uuid
+import warnings
 from datetime import datetime
 from typing import Any, Dict
-import warnings
+
+import pytz
 from pydantic import ValidationError
+
+from mem0.configs.base import MemoryConfig, MemoryItem
+from mem0.configs.prompts import get_update_memory_messages
 from mem0.memory.base import MemoryBase
 from mem0.memory.setup import setup_config
 from mem0.memory.storage import SQLiteManager
 from mem0.memory.telemetry import capture_event
 from mem0.memory.utils import get_fact_retrieval_messages, parse_messages
-from mem0.configs.prompts import get_update_memory_messages
-from mem0.utils.factory import LlmFactory, EmbedderFactory, VectorStoreFactory
-from mem0.configs.base import MemoryItem, MemoryConfig
-import threading
-import concurrent
+from mem0.utils.factory import EmbedderFactory, LlmFactory, VectorStoreFactory
 
 # Setup user config
 setup_config()
@@ -154,7 +156,7 @@ class Memory(MemoryBase):
                 logging.info(resp)
                 try:
                     if resp["event"] == "ADD":
-                        memory_id = self._create_memory(data=resp["text"], metadata=metadata)
+                        self._create_memory(data=resp["text"], metadata=metadata)
                     elif resp["event"] == "UPDATE":
                         self._update_memory(memory_id=resp["id"], data=resp["text"], metadata=metadata)
                     elif resp["event"] == "DELETE":
@@ -175,7 +177,7 @@ class Memory(MemoryBase):
             else:
                 self.graph.user_id = "USER"
             data = "\n".join([msg["content"] for msg in messages if "content" in msg and msg["role"] != "system"])
-            added_entities = self.graph.add(data, filters)
+            self.graph.add(data, filters)
 
     def get(self, memory_id):
         """

mem0/memory/telemetry.py

@@ -1,3 +1,4 @@
+import logging
 import platform
 import sys
 
@@ -5,6 +6,8 @@ from posthog import Posthog
 
 from mem0.memory.setup import get_user_id, setup_config
 
+logging.getLogger('posthog').setLevel(logging.CRITICAL + 1)
+logging.getLogger('urllib3').setLevel(logging.CRITICAL + 1)
 
 class AnonymousTelemetry:
     def __init__(self, project_api_key, host):

mem0/proxy/main.py

@@ -1,9 +1,10 @@
 import logging
 import subprocess
 import sys
-import httpx
-from typing import Optional, List, Union
 import threading
+from typing import List, Optional, Union
+
+import httpx
 
 try:
     import litellm
@@ -20,9 +21,9 @@ except ImportError:
         raise ImportError("The required 'litellm' library is not installed.")
         sys.exit(1)
 
-from mem0.memory.telemetry import capture_client_event
 from mem0 import Memory, MemoryClient
 from mem0.configs.prompts import MEMORY_ANSWER_PROMPT
+from mem0.memory.telemetry import capture_client_event
 
 logger = logging.getLogger(__name__)
 

mem0/utils/factory.py

@@ -1,7 +1,7 @@
 import importlib
 
-from mem0.configs.llms.base import BaseLlmConfig
 from mem0.configs.embeddings.base import BaseEmbedderConfig
+from mem0.configs.llms.base import BaseLlmConfig
 
 
 def load_class(class_type):

mem0/vector_stores/chroma.py

@@ -1,7 +1,5 @@
-import subprocess
-import sys
 import logging
-from typing import Optional, List, Dict
+from typing import Dict, List, Optional
 
 from pydantic import BaseModel
 

mem0/vector_stores/configs.py

@@ -1,4 +1,5 @@
-from typing import Optional, Dict
+from typing import Dict, Optional
+
 from pydantic import BaseModel, Field, model_validator
 
 

mem0/vector_stores/pgvector.py

@@ -1,8 +1,7 @@
-import subprocess
-import sys
 import json
 import logging
-from typing import Optional, List
+from typing import List, Optional
+
 from pydantic import BaseModel
 
 try:

mem0/vector_stores/qdrant.py

@@ -1,6 +1,6 @@
+import logging
 import os
 import shutil
-import logging
 
 from qdrant_client import QdrantClient
 from qdrant_client.models import (

tests/llms/test_azure_openai.py

@@ -1,10 +1,11 @@
 
+from unittest.mock import Mock, patch
+
 import httpx
 import pytest
-from unittest.mock import Mock, patch
 
-from mem0.llms.azure_openai import AzureOpenAILLM
 from mem0.configs.llms.base import BaseLlmConfig
+from mem0.llms.azure_openai import AzureOpenAILLM
 
 MODEL = "gpt-4o" # or your custom deployment name 
 TEMPERATURE = 0.7

tests/llms/test_groq.py

@@ -1,7 +1,10 @@
-import pytest
 from unittest.mock import Mock, patch
-from mem0.llms.groq import GroqLLM
+
+import pytest
+
 from mem0.configs.llms.base import BaseLlmConfig
+from mem0.llms.groq import GroqLLM
+
 
 @pytest.fixture
 def mock_groq_client():

tests/llms/test_litellm.py

@@ -1,8 +1,10 @@
-import pytest
 from unittest.mock import Mock, patch
 
-from mem0.llms import litellm
+import pytest
+
 from mem0.configs.llms.base import BaseLlmConfig
+from mem0.llms import litellm
+
 
 @pytest.fixture
 def mock_litellm():

tests/llms/test_ollama.py

@@ -1,9 +1,12 @@
-import pytest
 from unittest.mock import Mock, patch
-from mem0.llms.ollama import OllamaLLM
+
+import pytest
+
 from mem0.configs.llms.base import BaseLlmConfig
+from mem0.llms.ollama import OllamaLLM
 from mem0.llms.utils.tools import ADD_MEMORY_TOOL
 
+
 @pytest.fixture
 def mock_ollama_client():
     with patch('mem0.llms.ollama.Client') as mock_ollama:

tests/llms/test_openai.py

@@ -1,7 +1,10 @@
-import pytest
 from unittest.mock import Mock, patch
-from mem0.llms.openai import OpenAILLM
+
+import pytest
+
 from mem0.configs.llms.base import BaseLlmConfig
+from mem0.llms.openai import OpenAILLM
+
 
 @pytest.fixture
 def mock_openai_client():

tests/llms/test_together.py

@@ -1,7 +1,10 @@
-import pytest
 from unittest.mock import Mock, patch
-from mem0.llms.together import TogetherLLM
+
+import pytest
+
 from mem0.configs.llms.base import BaseLlmConfig
+from mem0.llms.together import TogetherLLM
+
 
 @pytest.fixture
 def mock_together_client():

tests/test_proxy.py

@@ -1,10 +1,11 @@
-import pytest
 from unittest.mock import Mock, patch
 
-from mem0.configs.prompts import MEMORY_ANSWER_PROMPT
+import pytest
+
 from mem0 import Memory, MemoryClient
-from mem0.proxy.main import Mem0
-from mem0.proxy.main import Chat, Completions
+from mem0.configs.prompts import MEMORY_ANSWER_PROMPT
+from mem0.proxy.main import Chat, Completions, Mem0
+
 
 @pytest.fixture
 def mock_memory_client():