Define LangGraph State Machine for Trial Matching

from typing import TypedDict, List
from langgraph.graph import StateGraph, END
from langchain_openai import ChatOpenAI

class TrialState(TypedDict):
    patient_data: dict
    extracted_biomarkers: dict
    is_eligible: bool
    reasoning: List[str]

workflow = StateGraph(TrialState)

# Define nodes for extraction, verification, and decision
def extract_biomarkers(state: TrialState):
    # Extract hsCRP and IL-6
    return state

workflow.add_node('extract', extract_biomarkers)
workflow.set_entry_point('extract')
# Complete state graph routing