In `capture_event`, when converting GenAI spans to V2 format, the code passes the original `event` parameter to `_serialized_v1_span_to_serialized_v2_span` instead of `event_opt` (the prepared/scrubbed version). This means user attributes like `user.id`, `user.email`, `user.name`, release, environment, and SDK info extracted from the event for GenAI spans may bypass the event scrubber, potentially leaking PII that was supposed to be scrubbed. The scrubber runs on `event_opt` but the GenAI span conversion uses the unprocessed `event`.

In `capture_event`, when converting GenAI spans to V2 format, the code passes the original `event` parameter to `_serialized_v1_span_to_serialized_v2_span` instead of `event_opt` (the prepared/scrubbed version). This means user attributes like `user.id`, `user.email`, `user.name`, release, environment, and SDK info extracted from the event for GenAI spans may bypass the event scrubber, potentially leaking PII that was supposed to be scrubbed. The scrubber runs on `event_opt` but the GenAI span conversion uses the unprocessed `event`.

The test `test_extract_contents_messages_dict_inline_data` uses `"attributes"` as the key inside `inline_data`, but the Google GenAI API and the implementation in `transform_google_content_part` expect `"data"`. This makes the test pass vacuously since `inline_data.get("data", "")` returns an empty string, which still gets substituted with `BLOB_DATA_SUBSTITUTE`. Other tests in the same file (lines 1800, 1842) correctly use `"data"`.

The test `test_extract_contents_messages_dict_inline_data` uses `"attributes"` as the key inside `inline_data`, but the Google GenAI API and the implementation in `transform_google_content_part` expect `"data"`. This makes the test pass vacuously since `inline_data.get("data", "")` returns an empty string, which still gets substituted with `BLOB_DATA_SUBSTITUTE`. Other tests in the same file (lines 1800, 1842) correctly use `"data"`.

Line 1381 asserts `tx["_meta"]["spans"]["0"]["data"]["gen_ai.request.messages"][""]["len"] == 5` but with `_experiments={"gen_ai_as_v2_spans": True}` enabled (line 1313), the GenAI span is extracted from the transaction and sent as a separate envelope item. After extraction, the transaction's `spans` array no longer contains the GenAI span at index 0, making the `_meta` path invalid or pointing to a different span. This test will fail at runtime when the extracted spans leave behind mismatched `_meta` indices.

Line 1381 asserts `tx["_meta"]["spans"]["0"]["data"]["gen_ai.request.messages"][""]["len"] == 5` but with `_experiments={"gen_ai_as_v2_spans": True}` enabled (line 1313), the GenAI span is extracted from the transaction and sent as a separate envelope item. After extraction, the transaction's `spans` array no longer contains the GenAI span at index 0, making the `_meta` path invalid or pointing to a different span. This test will fail at runtime when the extracted spans leave behind mismatched `_meta` indices.

The test was changed to use `capture_items("transaction")` at line 959, which only captures transaction items. However, at lines 1034-1037 (outside the hunk but in the same test function), the code iterates over spans with `spans = [item.payload for item in items if item.type == "span"]` and asserts `SPANDATA.GEN_AI_SYSTEM in span["attributes"]`. Since no spans are captured, the loop never executes and the assertion silently passes, making the test ineffective.

The test was changed to use `capture_items("transaction")` at line 959, which only captures transaction items. However, at lines 1034-1037 (outside the hunk but in the same test function), the code iterates over spans with `spans = [item.payload for item in items if item.type == "span"]` and asserts `SPANDATA.GEN_AI_SYSTEM in span["attributes"]`. Since no spans are captured, the loop never executes and the assertion silently passes, making the test ineffective.

Line 3592-3594 checks `transaction["contexts"]["trace"].get("attributes", {})` but transactions captured via `capture_items` use the original payload format which stores span data under the `data` key, not `attributes`. This is confirmed by line 3528 in the same PR which correctly uses `transaction["contexts"]["trace"]["data"]`. The `capture_items` fixture in conftest.py only transforms `attributes` for 'span' type items (lines 361-367), while transactions retain their original structure. This causes the assertion to always pass (checking an empty dict or missing key) even if `gen_ai.conversation.id` is incorrectly present.