Bugfix | Fixed a bug when calling reasoning models with store=False

src/agents/model_settings.py

@@ -5,6 +5,7 @@
 from typing import Any, Literal
 
 from openai._types import Body, Headers, Query
+from openai.types.responses import ResponseIncludable
 from openai.types.shared import Reasoning
 from pydantic import BaseModel
 
@@ -61,6 +62,10 @@ class ModelSettings:
     """Whether to include usage chunk.
     Defaults to True if not provided."""
 
+    response_include: list[ResponseIncludable] | None = None
+    """Additional output data to include in the model response.
+    [include parameter](https://platform.openai.com/docs/api-reference/responses/create#responses-create-include)"""
+
     extra_query: Query | None = None
     """Additional query fields to provide with the request.
     Defaults to None if not provided."""

src/agents/models/openai_responses.py

@@ -240,6 +240,10 @@ async def _fetch_response(
         converted_tools = Converter.convert_tools(tools, handoffs)
         response_format = Converter.get_response_format(output_schema)
 
+        include: list[ResponseIncludable] = converted_tools.includes
+        if model_settings.response_include is not None:
+            include = list({*include, *model_settings.response_include})
+
         if _debug.DONT_LOG_MODEL_DATA:
             logger.debug("Calling LLM")
         else:
@@ -258,7 +262,7 @@ async def _fetch_response(
             instructions=self._non_null_or_not_given(system_instructions),
             model=self.model,
             input=list_input,
-            include=converted_tools.includes,
+            include=include,
             tools=converted_tools.tools,
             prompt=self._non_null_or_not_given(prompt),
             temperature=self._non_null_or_not_given(model_settings.temperature),

tests/model_settings/test_serialization.py

@@ -44,6 +44,7 @@ def test_all_fields_serialization() -> None:
         metadata={"foo": "bar"},
         store=False,
         include_usage=False,
+        response_include=["reasoning.encrypted_content"],
         extra_query={"foo": "bar"},
         extra_body={"foo": "bar"},
         extra_headers={"foo": "bar"},