Wrap the agent you already built. Do not re-platform it.

import { createClient } from "@makerchecker/sdk";
import { governLangChainTool } from "@makerchecker/connector-langchain";

// Point at your own self-hosted MakerChecker.
const mc = createClient({ baseUrl: process.env.MAKERCHECKER_URL });
const { session } = await mc.proxy.openSession({ label: "pv-run" });

// Typed connector: name, description, and schema are preserved, so the
// governed tool drops into the same ToolNode or agent executor.
const assessSeriousness = governLangChainTool(
  mc,
  { sessionId: session.id, agentName: "pv-processor", skillRef: "seriousness-assess@1" },
  rawAssessSeriousness,
);

// The agent calls it normally. A denied action throws before it runs,
// and every call is signed into the audit chain.
await assessSeriousness.invoke({ case: "P-4003" });

from makerchecker import create_client, governed_tool, GovernanceDeniedError

mc = create_client(base_url=os.environ["MAKERCHECKER_URL"])
session = mc.proxy.open_session(label="pv-run")["session"]

# Generic SDK wrapper: CrewAI, LlamaIndex, AutoGen, or a bare function.
# There is no typed connector for these, and we never imply one.
triage = governed_tool(
    mc, session["id"], "pv-processor", "case-triage@1", raw_triage,
)

# check -> deny raises GovernanceDeniedError before the function runs
# -> run -> record the outcome to the audit chain.
try:
    triage({"case": "P-4001"})
except GovernanceDeniedError as err:
    # err.code is machine-readable; err.reason is the human sentence.
    route_to_human(err.reason)