chore: sync from langchain

Makefile

@@ -9,6 +9,9 @@ TEST_FILE ?= tests/unit_tests/
 test:
 	python -m pytest $(TEST_FILE)
 
+integration_tests:
+	python -m pytest tests/integration_tests 
+
 test_watch:
 	python -m ptw --snapshot-update --now . -- -vv tests/unit_tests
 

README.md

@@ -1,7 +1,6 @@
 # LangGraph ReAct Agent Template
 
 [![CI](https://github.com/langchain-ai/react-agent/actions/workflows/unit-tests.yml/badge.svg)](https://github.com/langchain-ai/react-agent/actions/workflows/unit-tests.yml)
-[![Integration Tests](https://github.com/langchain-ai/react-agent/actions/workflows/integration-tests.yml/badge.svg)](https://github.com/langchain-ai/react-agent/actions/workflows/integration-tests.yml)
 [![Open in - LangGraph Studio](https://img.shields.io/badge/Open_in-LangGraph_Studio-00324d.svg?logo=data:image/svg%2bxml;base64,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)](https://langgraph-studio.vercel.app/templates/open?githubUrl=https://github.com/langchain-ai/react-agent)
 
 This template showcases a [ReAct agent](https://arxiv.org/abs/2210.03629) implemented using [LangGraph](https://github.com/langchain-ai/langgraph), designed for [LangGraph Studio](https://github.com/langchain-ai/langgraph-studio). ReAct agents are uncomplicated, prototypical agents that can be flexibly extended to many tools.
@@ -41,7 +40,7 @@ The primary [search tool](./src/react_agent/tools.py) [^1] used is [Tavily](http
 The defaults values for `model` are shown below:
 
 ```yaml
-model: anthropic/claude-3-5-sonnet-20240620
+model: claude-sonnet-4-5-20250929
 ```
 
 Follow the instructions below to get set up, or pick one of the additional options.

langgraph.json

@@ -1,4 +1,5 @@
 {
+  "$schema": "https://langgra.ph/schema.json",
   "dependencies": ["."],
   "graphs": {
     "agent": "./src/react_agent/graph.py:graph"

pyproject.toml

@@ -9,7 +9,7 @@ readme = "README.md"
 license = { text = "MIT" }
 requires-python = ">=3.11,<4.0"
 dependencies = [
-    "langgraph>=0.6.0,<0.7.0",
+    "langgraph>=1.0.0",
     "langchain-openai>=0.1.22",
     "langchain-anthropic>=0.1.23",
     "langchain>=0.2.14",
@@ -62,6 +62,7 @@ convention = "google"
 
 [dependency-groups]
 dev = [
-    "langgraph-cli[inmem]>=0.1.71",
+    "anyio>=4.7.0",
+    "langgraph-cli[inmem]>=0.4.7",
     "pytest>=8.3.5",
 ]

src/react_agent/context.py

@@ -22,7 +22,7 @@ class Context:
     )
 
     model: Annotated[str, {"__template_metadata__": {"kind": "llm"}}] = field(
-        default="anthropic/claude-3-5-sonnet-20240620",
+        default="anthropic/claude-sonnet-4-5-20250929",
         metadata={
             "description": "The name of the language model to use for the agent's main interactions. "
             "Should be in the form: provider/model-name."

src/react_agent/graph.py

@@ -42,7 +42,7 @@ async def call_model(
     )
 
     # Get the model's response
-    response = cast(
+    response = cast( # type: ignore[redundant-cast]
         AIMessage,
         await model.ainvoke(
             [{"role": "system", "content": system_message}, *state.messages]

tests/conftest.py

@@ -0,0 +1,7 @@
+import pytest
+
+
+@pytest.fixture(scope="session")
+def anyio_backend():
+    return "asyncio"
+

tests/integration_tests/test_graph.py

@@ -1,12 +1,11 @@
 import pytest
-from langsmith import unit
 
 from react_agent import graph
 from react_agent.context import Context
 
+pytestmark = pytest.mark.anyio
+
 
-@pytest.mark.asyncio
-@unit
 async def test_react_agent_simple_passthrough() -> None:
     res = await graph.ainvoke(
         {"messages": [("user", "Who is the founder of LangChain?")]},  # type: ignore