Upload folder using huggingface_hub

check_yaml.py

@@ -0,0 +1,8 @@
+import yaml
+
+with open('openenv.yaml') as f:
+    d = yaml.safe_load(f)
+
+for t in d.get("tasks", []):
+    g = t.get("grader")
+    print(f"{t['id']}: grader type = {type(g).__name__}, value = {g}")

run_10_real_episodes.py

@@ -0,0 +1,58 @@
+"""Run 10 real SupportDesk episodes and stream inference logs.
+
+This does not fabricate output. It simply invokes `inference.py` repeatedly
+with real task ids from the registry so stdout contains valid `[START]`,
+`[STEP]`, and `[END]` lines for each completed run.
+"""
+
+from __future__ import annotations
+
+import os
+import subprocess
+import sys
+from itertools import cycle, islice
+
+from tasks import list_task_ids
+
+TOTAL_RUNS = 10
+
+
+def main() -> int:
+    base_env = os.environ.copy()
+    task_ids = list(list_task_ids())
+
+    if not task_ids:
+        print("No tasks registered.", file=sys.stderr)
+        return 1
+
+    # Repeat the real task ids until we have 10 actual runs.
+    run_plan = list(islice(cycle(task_ids), TOTAL_RUNS))
+
+    for idx, task_id in enumerate(run_plan, start=1):
+        env = base_env.copy()
+        env["SUPPORTDESK_TASK_ID"] = task_id
+        env.setdefault("PYTHONUTF8", "1")
+
+        print(
+            f"# run {idx}/{TOTAL_RUNS} task={task_id}",
+            file=sys.stderr,
+            flush=True,
+        )
+
+        completed = subprocess.run(
+            [sys.executable, "inference.py"],
+            env=env,
+            check=False,
+        )
+        if completed.returncode != 0:
+            print(
+                f"Run {idx} failed for task {task_id} with exit code {completed.returncode}.",
+                file=sys.stderr,
+            )
+            return completed.returncode
+
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())