Merge branch 'main' into fix/sqlite-session-lock-bug-clean

Author: gn00295120

README.md

@@ -1,4 +1,4 @@
-# OpenAI Agents SDK
+# OpenAI Agents SDK [![PyPI](https://img.shields.io/pypi/v/openai-agents?label=pypi%20package)](https://pypi.org/project/openai-agents/)
 
 The OpenAI Agents SDK is a lightweight yet powerful framework for building multi-agent workflows. It is provider-agnostic, supporting the OpenAI Responses and Chat Completions APIs, as well as 100+ other LLMs.
 

examples/realtime/cli/ui.py

@@ -1,6 +1,6 @@
 [project]
 name = "openai-agents"
-version = "0.4.0"
+version = "0.4.1"
 description = "OpenAI Agents SDK"
 readme = "README.md"
 requires-python = ">=3.9"

pyproject.toml

@@ -319,3 +319,16 @@ async def clear_session(self) -> None:
                 await sess.execute(
                     delete(self._sessions).where(self._sessions.c.session_id == self.session_id)
                 )
+
+    @property
+    def engine(self) -> AsyncEngine:
+        """Access the underlying SQLAlchemy AsyncEngine.
+
+        This property provides direct access to the engine for advanced use cases,
+        such as checking connection pool status, configuring engine settings,
+        or manually disposing the engine when needed.
+
+        Returns:
+            AsyncEngine: The SQLAlchemy async engine instance.
+        """
+        return self._engine

src/agents/extensions/memory/sqlalchemy_session.py

@@ -44,6 +44,7 @@
 from ...models.chatcmpl_stream_handler import ChatCmplStreamHandler
 from ...models.fake_id import FAKE_RESPONSES_ID
 from ...models.interface import Model, ModelTracing
+from ...models.openai_responses import Converter as OpenAIResponsesConverter
 from ...tool import Tool
 from ...tracing import generation_span
 from ...tracing.span_data import GenerationSpanData
@@ -367,15 +368,19 @@ async def _fetch_response(
         if isinstance(ret, litellm.types.utils.ModelResponse):
             return ret
 
+        responses_tool_choice = OpenAIResponsesConverter.convert_tool_choice(
+            model_settings.tool_choice
+        )
+        if responses_tool_choice is None or responses_tool_choice is omit:
+            responses_tool_choice = "auto"
+
         response = Response(
             id=FAKE_RESPONSES_ID,
             created_at=time.time(),
             model=self.model,
             object="response",
             output=[],
-            tool_choice=cast(Literal["auto", "required", "none"], tool_choice)
-            if tool_choice is not omit
-            else "auto",
+            tool_choice=responses_tool_choice,  # type: ignore[arg-type]
             top_p=model_settings.top_p,
             temperature=model_settings.temperature,
             tools=[],

src/agents/extensions/models/litellm_model.py

@@ -361,6 +361,9 @@ def _maybe_get_output_as_structured_function_output(
         if isinstance(output, (ToolOutputText, ToolOutputImage, ToolOutputFileContent)):
             return output
         elif isinstance(output, dict):
+            # Require explicit 'type' field in dict to be considered a structured output
+            if "type" not in output:
+                return None
             try:
                 return ValidToolOutputPydanticModelsTypeAdapter.validate_python(output)
             except pydantic.ValidationError:

src/agents/items.py

@@ -95,6 +95,9 @@ class RealtimeModelSendToolOutput:
 class RealtimeModelSendInterrupt:
     """Send an interrupt to the model."""
 
+    force_response_cancel: bool = False
+    """Force sending a response.cancel event even if automatic cancellation is enabled."""
+
 
 @dataclass
 class RealtimeModelSendSessionUpdate: