In `on_request`, `span.__enter__()` is called unconditionally at line 91, but the span is only stored in metadata if `run_context_metadata` is a dict (lines 88-89). When metadata is not a dict, `on_response` returns early at line 103-104 without calling `span.__exit__()`. This causes a span leak - the span will remain open indefinitely, potentially corrupting the span hierarchy for subsequent operations.

In `on_request`, `span.__enter__()` is called unconditionally at line 91, but the span is only stored in metadata if `run_context_metadata` is a dict (lines 88-89). When metadata is not a dict, `on_response` returns early at line 103-104 without calling `span.__exit__()`. This causes a span leak - the span will remain open indefinitely, potentially corrupting the span hierarchy for subsequent operations.

At line 66, when `ImportError` is raised (meaning `pydantic_ai.capabilities.Hooks` is not available), the code sets `PydanticAIIntegration.are_request_hooks_available = True`. This is incorrect - it should be `False` since the hooks mechanism is not available. This causes the agent_run wrapper to incorrectly add `metadata` to kwargs when using the fallback patch approach.

In `test_without_pii_tools`, the `test_agent` is instantiated via `get_test_agent()` on line 654 **before** `sentry_init()` is called on line 661. The PydanticAI integration patches `Agent.__init__` during `setup_once()` to inject capability hooks for request/response tracking. Since the agent is created before this patch is applied, it won't have the hooks injected, potentially causing incomplete instrumentation or test failures on newer pydantic-ai versions that use the Hooks capability.