nerq-langgraph

Trust-check node for LangGraph agents. Verify AI agent safety before execution with the Nerq Trust Index.

Install

pip install nerq-langgraph

Quick Start — 3 Lines

from nerq_langgraph import trust_check_node
from langgraph.graph import StateGraph

graph = StateGraph(dict)
graph.add_node("trust_check", trust_check_node(min_trust=70))
# trust_check returns state with trust_score, trust_grade, trust_approved

Full Example

from nerq_langgraph import trust_check_node
from langgraph.graph import StateGraph, END

def agent_action(state):
    if not state.get("trust_approved", False):
        return {**state, "result": "Blocked: agent failed trust check"}
    return {**state, "result": f"Executed with trust score {state['trust_score']}"}

graph = StateGraph(dict)
graph.add_node("trust_check", trust_check_node(min_trust=70))
graph.add_node("action", agent_action)
graph.set_entry_point("trust_check")
graph.add_edge("trust_check", "action")
graph.add_edge("action", END)

app = graph.compile()
result = app.invoke({"agent_name": "langchain"})
print(result["trust_approved"])  # True/False
print(result["trust_score"])     # 88.5

Configuration

State Keys

The node reads agent_name or target from state and adds:

• trust_score — numeric score (0-100)
• trust_grade — letter grade (A+, A, B+, etc.)
• trust_approved — boolean

Links

• Nerq Trust Index
• Integration Hub
• LangGraph Docs
• PyPI