fix: dedupe double-triggered summaries and unchanged-input re-processing on session stop

plugin/scripts/stop.mjs

@@ -23,22 +23,16 @@ async function main() {
 	}
 	if (isSdkChildContext(data)) return;
 	const sessionId = data.session_id || data.sessionId || "unknown";
-	fetch(`${REST_URL}/agentmemory/summarize`, {
-		method: "POST",
-		headers: authHeaders(),
-		body: JSON.stringify({ sessionId }),
-		signal: AbortSignal.timeout(12e4)
-	}).catch(() => {});
 	fetch(`${REST_URL}/agentmemory/session/end`, {
 		method: "POST",
 		headers: authHeaders(),
 		body: JSON.stringify({ sessionId }),
 		signal: AbortSignal.timeout(5e3)
 	}).catch(() => {});
-	setTimeout(() => process.exit(0), 1500).unref();
+	setTimeout(() => process.exit(0), 500).unref();
 }
 main();
-
 //#endregion
-export {  };
+export {};
+
 //# sourceMappingURL=stop.mjs.map

src/functions/input-fingerprint.ts

@@ -0,0 +1,14 @@
+import { createHash } from "node:crypto";
+import type { CompressedObservation } from "../types.js";
+
+// Stable fingerprint of an exact observation set, used to skip LLM re-runs
+// (summarize, graph extraction) when the input is unchanged. Count alone is
+// not enough: evict/auto-forget can delete observations, so the set can
+// change while the count returns to a previous value.
+export function computeInputFingerprint(
+  observations: CompressedObservation[],
+): string {
+  const h = createHash("sha256");
+  for (const o of observations) h.update(`${o.id} ${o.timestamp} `);
+  return h.digest("hex").slice(0, 32);
+}