Test hitl prebuilt

test_studio/langgraph.json

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+{
+    "dockerfile_lines": [],
+    "graphs": {
+      "langgraph101": "src/graph.py:agent"
+    },
+    "python_version": "3.11",
+    "dependencies": [
+      "."
+    ]
+  }

test_studio/pyproject.toml

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+[project]
+name = "test_studio"
+version = "0.1.0"
+description = "Test Studio"
+requires-python = ">=3.11"
+dependencies = [
+    "langchain>=0.3.9",
+    "langchain-core>=0.3.59",
+    "langchain-openai",
+    # Use local langgraph build
+    "langgraph @ file:///Users/rlm/Desktop/Code/langgraph/libs/langgraph",
+    "langgraph-prebuilt @ file:///Users/rlm/Desktop/Code/langgraph/libs/prebuilt",
+    "langsmith[pytest]>=0.3.4",
+]
+
+[project.optional-dependencies]
+dev = ["mypy>=1.11.1", "ruff>=0.6.1"]
+
+[build-system]
+requires = ["setuptools>=73.0.0", "wheel"]
+build-backend = "setuptools.build_meta"
+
+[tool.setuptools]
+packages = ["agent"]
+
+[tool.setuptools.package-dir]
+"agent" = "src/graph"
+
+[tool.setuptools.package-data]
+"*" = ["py.typed"]
+
+[tool.ruff]
+lint.select = [
+    "E",    # pycodestyle
+    "F",    # pyflakes
+    "I",    # isort
+    "D",    # pydocstyle
+    "D401", # First line should be in imperative mood
+    "T201",
+    "UP",
+]
+lint.ignore = [
+    "UP006",
+    "UP007",
+    "UP035",
+    "D417",
+    "E501",
+]
+
+[tool.ruff.lint.per-file-ignores]
+"tests/*" = ["D", "UP"]
+
+[tool.ruff.lint.pydocstyle]
+convention = "google"

test_studio/src/graph.py

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+from langchain.tools import tool
+from langgraph.prebuilt import create_react_agent
+from langgraph.checkpoint.memory import InMemorySaver
+from langgraph.prebuilt.interrupt import HumanInterruptConfig, InterruptToolNode
+
+from langchain.chat_models import init_chat_model
+llm = init_chat_model("openai:gpt-4.1", temperature=0)
+
+@tool
+def write_email(to: str, subject: str, content: str) -> str:
+    """Write and send an email."""
+    # Placeholder response - in real app would send email
+    return f"Email sent to {to} with subject '{subject}' and content: {content}"
+
+agent = create_react_agent(
+    llm,
+    tools=[write_email],
+    prompt="You are a helpful email assistant.",
+    post_model_hook=InterruptToolNode(
+        write_email=HumanInterruptConfig(
+              allow_accept=True,
+              allow_edit=True,
+              allow_ignore=True,
+              allow_respond=True,
+          )
+    ),
+)