fix(scripts): preserve emoji in issue label prompts (#109477)

Leon-SK668 · web-flow · commit 7e34687015a1 · 2026-07-16T22:27:04.000-07:00
diff --git a/scripts/label-open-issues.ts b/scripts/label-open-issues.ts
@@ -4,6 +4,7 @@ import { existsSync, mkdirSync, readFileSync, writeFileSync } from "node:fs";
 import { homedir } from "node:os";
 import { dirname, join } from "node:path";
 import { pathToFileURL } from "node:url";
+import { truncateUtf16Safe } from "@openclaw/normalization-core/utf16-slice";
 import { isRecord } from "../src/utils.js";
 import { readBoundedResponseText as readBoundedBodyText } from "./lib/bounded-response.ts";
 import { parseStrictIntegerOption } from "./lib/dev-tooling-safety.ts";
@@ -644,7 +645,7 @@ function truncateBody(body: string): string {
   if (body.length <= MAX_BODY_CHARS) {
     return body;
   }
-  return `${body.slice(0, MAX_BODY_CHARS)}\n\n[truncated]`;
+  return `${truncateUtf16Safe(body, MAX_BODY_CHARS)}\n\n[truncated]`;
 }
 
 function buildItemPrompt(item: LabelItem, kind: "issue" | "pull request"): string {
diff --git a/test/scripts/label-open-issues.test.ts b/test/scripts/label-open-issues.test.ts
@@ -226,4 +226,41 @@ describe("label-open-issues helpers", () => {
       /OPENCLAW_LABEL_OPEN_ISSUES_OPENAI_TIMEOUT_MS must be an integer/u,
     );
   });
+
+  it("does not split boundary emoji in model prompts", async () => {
+    let requestBody = "";
+    const response = new Response(
+      JSON.stringify({
+        output_text: JSON.stringify({
+          category: "bug",
+          isSupport: false,
+          isSkillOnly: false,
+        }),
+      }),
+      { status: 200 },
+    );
+
+    await testing.classifyItem(
+      {
+        ...labelItem,
+        body: `${"a".repeat(5999)}😀tail`,
+      },
+      "issue",
+      {
+        apiKey: "placeholder",
+        model: "test-model",
+        timeoutMs: 50,
+        fetchImpl: ((_url, init) => {
+          requestBody = String(init?.body ?? "");
+          return Promise.resolve(response);
+        }) as typeof fetch,
+      },
+    );
+
+    const payload = JSON.parse(requestBody) as { input: Array<{ content: string }> };
+    const prompt = payload.input[1]?.content ?? "";
+    expect(prompt).toContain(`${"a".repeat(5999)}\n\n[truncated]`);
+    expect(prompt).not.toContain("\uD83D");
+    expect(prompt).not.toContain("tail");
+  });
 });
