How to return documents from a LangGraph agent

from doconda import Doconda
from langchain.chat_models import init_chat_model
from langchain_core.tools import StructuredTool
from langgraph.graph import START, MessagesState, StateGraph
from langgraph.prebuilt import ToolNode, tools_condition


def as_langchain_tool(t):
    return StructuredTool(name=t.name, description=t.description, args_schema=t.input_schema, func=lambda **args: t.run(args))


tools = [as_langchain_tool(t) for t in Doconda().tools()]
model = init_chat_model("openai:gpt-5").bind_tools(tools)


def call_model(state: MessagesState):
    return {"messages": [model.invoke(state["messages"])]}


graph = (
    StateGraph(MessagesState)
    .add_node("model", call_model)
    .add_node("tools", ToolNode(tools))
    .add_edge(START, "model")
    .add_conditional_edges("model", tools_condition)
    .add_edge("tools", "model")
    .compile()
)

result = graph.invoke({"messages": [{"role": "user", "content": "Write a quarterly sales report in Word"}]})
print(result["messages"][-1].content)

{
  "id": "doc_01JAB3…",
  "format": "docx",
  "status": "ready",
  "links": { "docx": "https://…", "pdf": "https://…" },
  "links_note": "Links expire in 5 minutes: call get_document for fresh ones."
}