ref(pydantic-ai): Remove mime_type from ImageUrl span data and consolidate tests

Remove the mime_type field from ImageUrl serialization in spans since
it is not needed for the base64 redaction use case. Update the regex
to use non-capturing groups accordingly. Consolidate scattered image
URL tests into two parameterized test functions.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

Author: ericapisani

sentry_sdk/integrations/pydantic_ai/consts.py

@@ -3,7 +3,6 @@
 SPAN_ORIGIN = "auto.ai.pydantic_ai"
 
 # Matches data URLs with base64-encoded content, e.g. "data:image/png;base64,iVBORw0K..."
-# Group 1: MIME type (e.g. "image/png"), Group 2: base64 data
 DATA_URL_BASE64_REGEX = re.compile(
-    r"^data:([a-zA-Z0-9][a-zA-Z0-9.+\-]*/[a-zA-Z0-9][a-zA-Z0-9.+\-]*)(?:;[a-zA-Z0-9\-]+=[^;,]*)*;base64,([A-Za-z0-9+/\-_]+={0,2})$"
+    r"^data:(?:[a-zA-Z0-9][a-zA-Z0-9.+\-]*/[a-zA-Z0-9][a-zA-Z0-9.+\-]*)(?:;[a-zA-Z0-9\-]+=[^;,]*)*;base64,(?:[A-Za-z0-9+/\-_]+={0,2})$"
 )

sentry_sdk/integrations/pydantic_ai/spans/utils.py

@@ -23,10 +23,8 @@ def _serialize_image_url_item(item: "Any") -> "Dict[str, Any]":
     data_url_matches = DATA_URL_BASE64_REGEX.match(item.url)
 
     if data_url_matches:
-        mime_type = data_url_matches[1] or "image"
         return {
             "type": "image",
-            "mime_type": mime_type,
             "content": BLOB_DATA_SUBSTITUTE,
         }