chore(deps): update python-nonmajor (#297)

* chore(deps): update python-nonmajor

* Update pyproject.toml

* Update requirements.txt

* chore: undo connectors version upgrade

* chore: add a new package langgraph-prebuilt

* chore: migrate from langgraph subpackages [checkpoint, prebuilt] to only langgraph

* chore: fix tests

* chore: add type ignore for langchain prebuilt import missing

---------

Co-authored-by: Averi Kitsch <akitsch@google.com>
Co-authored-by: Vishwaraj Anand <vishwaraj.anand00@gmail.com>
Co-authored-by: Vishwaraj Anand <vishwarajanand@google.com>

Author: 3 people

pyproject.toml

@@ -46,11 +46,11 @@ test = [
     "black[jupyter]==25.1.0",
     "isort==6.0.1",
     "mypy==1.15.0",
-    "pytest-asyncio==0.25.3",
-    "pytest==8.3.4",
-    "pytest-cov==6.0.0",
-    "langchain-tests==0.3.12",
-    "langgraph==0.2.74"
+    "pytest-asyncio==0.26.0",
+    "pytest==8.3.5",
+    "pytest-cov==6.1.1",
+    "langchain-tests==0.3.19",
+    "langgraph==0.3.31"
 ]
 
 [build-system]

requirements.txt

@@ -1,7 +1,7 @@
 cloud-sql-python-connector[asyncpg]==1.18.1
-langchain-core==0.3.40
-numpy==2.2.3; python_version > "3.9"
-numpy== 2.0.2; python_version <= "3.9"
-pgvector==0.3.6
-SQLAlchemy[asyncio]==2.0.38
-langgraph-checkpoint==2.0.10
+langchain-core==0.3.55
+numpy==2.2.5; python_version > "3.9"
+numpy==2.0.2; python_version <= "3.9"
+pgvector==0.4.0
+SQLAlchemy[asyncio]==2.0.40
+langgraph==0.3.31

samples/index_tuning_sample/requirements.txt

@@ -1,3 +1,3 @@
-langchain-community==0.3.18
-langchain-google-cloud-sql-pg==0.12.1
-langchain-google-vertexai==2.0.14
+langchain-community==0.3.22
+langchain-google-cloud-sql-pg==0.13.0
+langchain-google-vertexai==2.0.20

samples/langchain_on_vertexai/requirements.txt

@@ -1,5 +1,5 @@
-google-cloud-aiplatform[reasoningengine,langchain]==1.81.0
-google-cloud-resource-manager==1.14.1
-langchain-community==0.3.18
-langchain-google-cloud-sql-pg==0.12.1
-langchain-google-vertexai==2.0.14
+google-cloud-aiplatform[reasoningengine,langchain]==1.89.0
+google-cloud-resource-manager==1.14.2
+langchain-community==0.3.22
+langchain-google-cloud-sql-pg==0.13.0
+langchain-google-vertexai==2.0.20

samples/requirements.txt

@@ -1,5 +1,5 @@
-google-cloud-aiplatform[reasoningengine,langchain]==1.81.0
-google-cloud-resource-manager==1.14.1
-langchain-community==0.3.18
-langchain-google-cloud-sql-pg==0.12.1
-langchain-google-vertexai==2.0.14
+google-cloud-aiplatform[reasoningengine,langchain]==1.89.0
+google-cloud-resource-manager==1.14.2
+langchain-community==0.3.22
+langchain-google-cloud-sql-pg==0.13.0
+langchain-google-vertexai==2.0.20

tests/test_async_checkpoint.py

@@ -39,7 +39,7 @@
     empty_checkpoint,
 )
 from langgraph.checkpoint.serde.jsonplus import JsonPlusSerializer
-from langgraph.prebuilt import (
+from langgraph.prebuilt import (  # type: ignore[import-not-found]
     ToolNode,
     ValidationNode,
     create_react_agent,
@@ -374,13 +374,14 @@ def _AnyIdHumanMessage(**kwargs: Any) -> HumanMessage:
 
     saved = await checkpointer.aget_tuple(thread_agent_config)
     assert saved is not None
-    assert saved.checkpoint["channel_values"] == {
-        "messages": [
-            _AnyIdHumanMessage(content="hi?"),
-            AIMessage(content="hi?", id="0"),
-        ],
-        "agent": "agent",
-    }
+    assert (
+        _AnyIdHumanMessage(content="hi?")
+        in saved.checkpoint["channel_values"]["messages"]
+    )
+    assert (
+        AIMessage(content="hi?", id="0")
+        in saved.checkpoint["channel_values"]["messages"]
+    )
     assert saved.metadata == {
         "parents": {},
         "source": "loop",