fix: filter spans with run_type=uipath from LLM Ops export

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "uipath"
-version = "2.5.4"
+version = "2.5.5"
 description = "Python SDK and CLI for UiPath Platform, enabling programmatic interaction with automation services, process management, and deployment tools."
 readme = { file = "README.md", content-type = "text/markdown" }
 requires-python = ">=3.11"

src/uipath/tracing/_otel_exporters.py

@@ -406,10 +406,12 @@ def _get_base_url(self) -> str:
     def _should_drop_span(self, span: ReadableSpan) -> bool:
         """Check if span is marked for dropping.
 
-        Spans with telemetry.filter="drop" are skipped by this exporter.
+        Spans with telemetry.filter="drop" or run_type="uipath" are skipped.
         """
         attrs = span.attributes or {}
-        return attrs.get("telemetry.filter") == "drop"
+        return (
+            attrs.get("run_type") == "uipath" or attrs.get("telemetry.filter") == "drop"
+        )
 
 
 class JsonLinesFileExporter(SpanExporter):

tests/tracing/test_otel_exporters.py

@@ -613,6 +613,18 @@ def test_passes_spans_with_other_filter_values(self, exporter_with_mocks):
         span.attributes = {"telemetry.filter": "keep"}
         assert exporter_with_mocks._should_drop_span(span) is False
 
+    def test_filters_spans_with_uipath_run_type(self, exporter_with_mocks):
+        """Span with run_type=uipath → filtered out."""
+        span = MagicMock(spec=ReadableSpan)
+        span.attributes = {"run_type": "uipath"}
+        assert exporter_with_mocks._should_drop_span(span) is True
+
+    def test_passes_spans_with_other_run_types(self, exporter_with_mocks):
+        """Span with other run_type values → passes through."""
+        span = MagicMock(spec=ReadableSpan)
+        span.attributes = {"run_type": "agent"}
+        assert exporter_with_mocks._should_drop_span(span) is False
+
     def test_export_filters_marked_spans(self, exporter_with_mocks):
         """export() should filter out spans marked for drop."""
         # Create mixed batch: 1 marked for drop, 1 unmarked