mirror of
https://github.com/MODSetter/SurfSense.git
synced 2025-09-02 02:29:08 +00:00
43 lines
1.4 KiB
Python
43 lines
1.4 KiB
Python
from langgraph.graph import StateGraph
|
|
from .state import State
|
|
from .nodes import write_answer_outline, process_sections
|
|
from .configuration import Configuration
|
|
from typing import TypedDict, List, Dict, Any, Optional
|
|
|
|
# Define what keys are in our state dict
|
|
class GraphState(TypedDict):
|
|
# Intermediate data produced during workflow
|
|
answer_outline: Optional[Any]
|
|
# Final output
|
|
final_written_report: Optional[str]
|
|
|
|
def build_graph():
|
|
"""
|
|
Build and return the LangGraph workflow.
|
|
|
|
This function constructs the researcher agent graph with proper state management
|
|
and node connections following LangGraph best practices.
|
|
|
|
Returns:
|
|
A compiled LangGraph workflow
|
|
"""
|
|
# Define a new graph with state class
|
|
workflow = StateGraph(State, config_schema=Configuration)
|
|
|
|
# Add nodes to the graph
|
|
workflow.add_node("write_answer_outline", write_answer_outline)
|
|
workflow.add_node("process_sections", process_sections)
|
|
|
|
# Define the edges - create a linear flow
|
|
workflow.add_edge("__start__", "write_answer_outline")
|
|
workflow.add_edge("write_answer_outline", "process_sections")
|
|
workflow.add_edge("process_sections", "__end__")
|
|
|
|
# Compile the workflow into an executable graph
|
|
graph = workflow.compile()
|
|
graph.name = "Surfsense Researcher" # This defines the custom name in LangSmith
|
|
|
|
return graph
|
|
|
|
# Compile the graph once when the module is loaded
|
|
graph = build_graph()
|