chore: import upstream snapshot with attribution

python/providers/langgraph/langgraph_demo_toolnode.py

@@ -0,0 +1,62 @@
+from typing import Literal
+
+from composio_langgraph import LanggraphProvider
+from langchain_openai import ChatOpenAI
+from langgraph.graph import MessagesState, StateGraph
+from langgraph.prebuilt import ToolNode
+
+from composio import Composio
+
+composio = Composio(provider=LanggraphProvider())
+tools = composio.tools.get(
+    user_id="default",
+    tools=[
+        "GITHUB_STAR_A_REPOSITORY_FOR_THE_AUTHENTICATED_USER",
+        "GITHUB_GET_THE_AUTHENTICATED_USER",
+    ],
+)
+tool_node = ToolNode(tools)
+model_with_tools = ChatOpenAI(temperature=0, streaming=True).bind_tools(tools)
+
+
+def should_continue(state: MessagesState) -> Literal["tools", "__end__"]:
+    messages = state["messages"]
+    last_message = messages[-1]
+    if last_message.tool_calls:  # type: ignore
+        return "tools"
+    return "__end__"
+
+
+def call_model(state: MessagesState):
+    messages = state["messages"]
+    response = model_with_tools.invoke(messages)
+    return {"messages": [response]}
+
+
+workflow = StateGraph(MessagesState)
+
+# Define the two nodes we will cycle between
+workflow.add_node("agent", call_model)
+workflow.add_node("tools", tool_node)
+
+workflow.add_edge("__start__", "agent")
+workflow.add_conditional_edges(
+    "agent",
+    should_continue,
+)
+workflow.add_edge("tools", "agent")
+
+app = workflow.compile()
+
+for chunk in app.stream(
+    {
+        "messages": [
+            (  # type: ignore
+                "human",
+                "Star the Github Repository composiohq/composio",
+            )
+        ]
+    },
+    stream_mode="values",
+):
+    chunk["messages"][-1].pretty_print()