chore: import upstream snapshot with attribution

python/semantic_kernel/agents/open_ai/run_polling_options.py

@@ -0,0 +1,31 @@
+# Copyright (c) Microsoft. All rights reserved.
+
+from datetime import timedelta
+
+from pydantic import Field
+
+from semantic_kernel.kernel_pydantic import KernelBaseModel
+from semantic_kernel.utils.feature_stage_decorator import experimental
+
+
+@experimental
+class RunPollingOptions(KernelBaseModel):
+    """Configuration and defaults associated with polling behavior for Assistant API requests."""
+
+    default_polling_interval: timedelta = Field(default=timedelta(milliseconds=250))
+    default_polling_backoff: timedelta = Field(default=timedelta(seconds=1))
+    default_polling_backoff_threshold: int = Field(default=2)
+    default_message_synchronization_delay: timedelta = Field(default=timedelta(milliseconds=250))
+    run_polling_interval: timedelta = Field(default=timedelta(milliseconds=250))
+    run_polling_backoff: timedelta = Field(default=timedelta(seconds=1))
+    run_polling_backoff_threshold: int = Field(default=2)
+    message_synchronization_delay: timedelta = Field(default=timedelta(milliseconds=250))
+    run_polling_timeout: timedelta = Field(default=timedelta(minutes=1))  # New timeout attribute
+
+    def get_polling_interval(self, iteration_count: int) -> timedelta:
+        """Get the polling interval for the given iteration count."""
+        return (
+            self.run_polling_backoff
+            if iteration_count > self.run_polling_backoff_threshold
+            else self.run_polling_interval
+        )