diff --git a/logfire/_internal/main.py b/logfire/_internal/main.py
index ae6b49548..897a55ffb 100644
--- a/logfire/_internal/main.py
+++ b/logfire/_internal/main.py
@@ -962,6 +962,7 @@ def instrument_pydantic_ai(
         /,
         *,
         event_mode: Literal['attributes', 'logs'] = 'attributes',
+        include_binary_content: bool | None = None,
         **kwargs: Any,
     ) -> None: ...
 
@@ -972,6 +973,7 @@ def instrument_pydantic_ai(
         /,
         *,
         event_mode: Literal['attributes', 'logs'] = 'attributes',
+        include_binary_content: bool | None = None,
         **kwargs: Any,
     ) -> pydantic_ai.models.Model: ...
 
@@ -981,6 +983,7 @@ def instrument_pydantic_ai(
         /,
         *,
         event_mode: Literal['attributes', 'logs'] | None = None,
+        include_binary_content: bool | None = None,
         **kwargs: Any,
     ) -> pydantic_ai.models.Model | None:
         """Instrument PydanticAI.
@@ -992,6 +995,8 @@ def instrument_pydantic_ai(
                 If you pass a model, a new instrumented model will be returned.
             event_mode: See the [PydanticAI docs](https://ai.pydantic.dev/logfire/#data-format).
                 The default is whatever the default is in your version of PydanticAI.
+            include_binary_content: Whether to include base64 encoded binary content (e.g. images) in the events.
+                On by default. Requires PydanticAI 0.2.5 or newer.
             kwargs: Additional keyword arguments to pass to
                 [`InstrumentationSettings`](https://ai.pydantic.dev/api/models/instrumented/#pydantic_ai.models.instrumented.InstrumentationSettings)
                 for future compatibility.
@@ -999,6 +1004,10 @@ def instrument_pydantic_ai(
         from .integrations.pydantic_ai import instrument_pydantic_ai
 
         self._warn_if_not_initialized_for_instrumentation()
+
+        if include_binary_content is not None:
+            kwargs['include_binary_content'] = include_binary_content
+
         return instrument_pydantic_ai(
             self,
             obj=obj,
diff --git a/tests/otel_integrations/test_pydantic_ai.py b/tests/otel_integrations/test_pydantic_ai.py
index dc9f991f0..4cb3256d7 100644
--- a/tests/otel_integrations/test_pydantic_ai.py
+++ b/tests/otel_integrations/test_pydantic_ai.py
@@ -55,15 +55,17 @@ def get_model(a: Agent):
     assert m2 is model
 
     # Now instrument all agents. Also use the (currently not default) event mode.
-    logfire_inst.instrument_pydantic_ai(event_mode='logs')
+    logfire_inst.instrument_pydantic_ai(event_mode='logs', include_binary_content=False)
     m = get_model(agent1)
     assert isinstance(m, InstrumentedModel)
     # agent1 still has its own instrumentation settings which override the global ones.
     assert m.settings.event_mode == InstrumentationSettings().event_mode == 'attributes'
+    assert m.settings.include_binary_content == InstrumentationSettings().include_binary_content
     # agent2 uses the global settings.
     m2 = get_model(agent2)
     assert isinstance(m2, InstrumentedModel)
     assert m2.settings.event_mode == 'logs'
+    assert not m2.settings.include_binary_content
 
     # Remove the global instrumentation. agent1 remains instrumented.
     Agent.instrument_all(False)