We build what others can't see coming.

# Trinetra · grounded agent with policy guardrails
from langgraph.graph import StateGraph, END
from trinetra.rag import Retriever, Grounding
from trinetra.policy import Guardrail

retriever = Retriever(index="policy-kb", top_k=8)
guard     = Guardrail(pii=True, jailbreak=True)

def answer(state):
    docs = retriever.search(state["query"])
    if not Grounding.sufficient(docs):
        return {"route": "human_review"}
    return {"answer": llm.invoke(docs, guard=guard),
            "citations": [d.source for d in docs]}

graph = StateGraph(dict)
graph.add_node("answer", answer)
graph.set_entry_point("answer")
app = graph.compile()   # audit-ready by default