Refactor

Author: NoahStapp

libs/langchain-mongodb/CHANGELOG.md

@@ -2,6 +2,10 @@
 
 ---
 
+## Changes in version 0.8.0 (2025/11/18)
+
+- Update dependencies to align with LangChain 1.0, which is now the minimum supported version of LangChain.
+
 ## Changes in version 0.7.2 (2025/10/30)
 
 - Pin LangChain version to < 1.0 to avoid compatibility issues while in pre-1.0.

libs/langchain-mongodb/langchain_mongodb/retrievers/parent_document.py

@@ -3,15 +3,9 @@
 from typing import Any, List, Optional
 
 import pymongo
-
-try:
-    from langchain.retrievers.parent_document_retriever import (  # type: ignore[import-not-found]
-        ParentDocumentRetriever,
-    )
-except ImportError:
-    from langchain_classic.retrievers.parent_document_retriever import (  # type: ignore[import-not-found]
-        ParentDocumentRetriever,
-    )
+from langchain_classic.retrievers.parent_document_retriever import (
+    ParentDocumentRetriever,
+)
 from langchain_core.callbacks import (
     AsyncCallbackManagerForRetrieverRun,
     CallbackManagerForRetrieverRun,

libs/langchain-mongodb/langchain_mongodb/retrievers/self_querying.py

@@ -1,21 +1,11 @@
 from typing import Any, Dict, Sequence, Tuple, Union
 
-try:
-    from langchain.chains.query_constructor.schema import (  # type: ignore[import-not-found]
-        AttributeInfo,
-    )
-except ImportError:
-    from langchain_classic.chains.query_constructor.schema import (  # type: ignore[import-not-found]
-        AttributeInfo,
-    )
-try:
-    from langchain.retrievers.self_query.base import (  # type: ignore[import-not-found]
-        SelfQueryRetriever,
-    )
-except ImportError:
-    from langchain_classic.retrievers.self_query.base import (  # type: ignore[import-not-found]
-        SelfQueryRetriever,
-    )
+from langchain_classic.chains.query_constructor.schema import (
+    AttributeInfo,
+)
+from langchain_classic.retrievers.self_query.base import (
+    SelfQueryRetriever,
+)
 from langchain_core.language_models import BaseLanguageModel
 from langchain_core.runnables import Runnable
 from langchain_core.structured_query import (

libs/langchain-mongodb/tests/integration_tests/test_agent_toolkit.py

@@ -4,16 +4,8 @@
 import pytest
 import requests
 from flaky import flaky  # type:ignore[import-untyped]
+from langchain.agents import create_agent  # type: ignore[assignment]
 from langchain_openai import AzureChatOpenAI, ChatOpenAI
-
-try:
-    from langgraph.prebuilt import create_react_agent as create_agent
-
-    _HAVE_V1 = False
-except ImportError:
-    from langchain.agents import create_agent  # type: ignore[assignment]
-
-    _HAVE_V1 = True
 from pymongo import MongoClient
 
 from langchain_mongodb.agent_toolkit import (
@@ -72,10 +64,7 @@ def test_toolkit_response(db):
     prompt = MONGODB_AGENT_SYSTEM_PROMPT.format(top_k=5)
 
     test_query = "Which country's customers spent the most?"
-    if _HAVE_V1:
-        agent = create_agent(llm, toolkit.get_tools(), system_prompt=prompt)
-    else:
-        agent = create_agent(llm, toolkit.get_tools(), prompt=prompt)
+    agent = create_agent(llm, toolkit.get_tools(), system_prompt=prompt)
     agent.step_timeout = 60
     events = agent.stream(
         {"messages": [("user", test_query)]},

libs/langchain-mongodb/tests/integration_tests/test_chat_message_histories.py

@@ -1,14 +1,9 @@
 import json
 import warnings
 
-try:
-    from langchain.memory import (  # type: ignore[import-not-found]
-        ConversationBufferMemory,
-    )
-except ImportError:
-    from langchain_classic.memory import (  # type: ignore[import-not-found]
-        ConversationBufferMemory,
-    )
+from langchain_classic.memory import (
+    ConversationBufferMemory,
+)
 from langchain_core.messages import message_to_dict
 
 from langchain_mongodb.chat_message_histories import MongoDBChatMessageHistory

libs/langchain-mongodb/tests/integration_tests/test_retriever_selfquerying.py

@@ -4,21 +4,12 @@
 from typing import Generator, Sequence, Union
 
 import pytest
-
-try:
-    from langchain.chains.query_constructor.schema import (  # type: ignore[import-not-found]
-        AttributeInfo,
-    )
-    from langchain.retrievers.self_query.base import (  # type: ignore[import-not-found]
-        SelfQueryRetriever,
-    )
-except ImportError:
-    from langchain_classic.chains.query_constructor.schema import (  # type: ignore[import-not-found]
-        AttributeInfo,
-    )
-    from langchain_classic.retrievers.self_query.base import (  # type: ignore[import-not-found]
-        SelfQueryRetriever,
-    )
+from langchain_classic.chains.query_constructor.schema import (
+    AttributeInfo,
+)
+from langchain_classic.retrievers.self_query.base import (
+    SelfQueryRetriever,
+)
 from langchain_core.documents import Document
 from langchain_openai import AzureChatOpenAI, ChatOpenAI
 from langchain_openai.chat_models.base import BaseChatOpenAI

libs/langchain-mongodb/tests/unit_tests/test_chat_message_histories.py

@@ -3,15 +3,9 @@
 
 import mongomock
 import pytest
-
-try:
-    from langchain.memory import (  # type: ignore[import-not-found]
-        ConversationBufferMemory,
-    )
-except ImportError:
-    from langchain_classic.memory import (  # type: ignore[import-not-found]
-        ConversationBufferMemory,
-    )
+from langchain_classic.memory import (
+    ConversationBufferMemory,
+)
 from langchain_core.messages import message_to_dict
 from pytest_mock import MockerFixture