fix: extend output_text to include code_interpreter and shell output

src/openai/types/responses/response.py

@@ -307,15 +307,28 @@ class Response(BaseModel):
 
     @property
     def output_text(self) -> str:
-        """Convenience property that aggregates all `output_text` items from the `output` list.
+        """Convenience property that aggregates all text content from the `output` list.
 
-        If no `output_text` content blocks exist, then an empty string is returned.
+        Includes text from:
+        - ``message`` output items (``output_text`` content blocks)
+        - ``code_interpreter_call`` items (log output)
+        - ``shell_call_output`` items (stdout)
+
+        If no text content exists, then an empty string is returned.
         """
         texts: List[str] = []
         for output in self.output:
             if output.type == "message":
                 for content in output.content:
                     if content.type == "output_text":
                         texts.append(content.text)
+            elif output.type == "code_interpreter_call":
+                for item in output.outputs or []:
+                    if item.type == "logs" and item.logs:
+                        texts.append(item.logs)
+            elif output.type == "shell_call_output":
+                for item in output.output:
+                    if item.stdout:
+                        texts.append(item.stdout)
 
         return "".join(texts)

tests/lib/responses/test_responses.py

@@ -41,6 +41,106 @@ def test_output_text(client: OpenAI, respx_mock: MockRouter) -> None:
     )
 
 
+@pytest.mark.respx(base_url=base_url)
+def test_output_text_includes_code_interpreter_logs(client: OpenAI, respx_mock: MockRouter) -> None:
+    """output_text should include both message text and code interpreter log output."""
+    response = make_snapshot_request(
+        lambda c: c.responses.create(
+            model="gpt-4o-mini",
+            input="Calculate 2+2 using code interpreter",
+            tools=[{"type": "code_interpreter", "container": {"type": "auto"}}],
+        ),
+        content_snapshot=snapshot(
+            '{"id": "resp_test_ci_001", "object": "response", "created_at": 1754925900, "status": "completed", "background": false, "error": null, "incomplete_details": null, "instructions": null, "max_output_tokens": null, "max_tool_calls": null, "model": "gpt-4o-mini-2024-07-18", "output": [{"id": "ci_001", "type": "code_interpreter_call", "code": "result = 2 + 2\\nprint(result)", "container_id": "cntr_001", "outputs": [{"type": "logs", "logs": "4"}], "status": "completed"}, {"id": "msg_001", "type": "message", "status": "completed", "content": [{"type": "output_text", "annotations": [], "logprobs": [], "text": "The result is 4."}], "role": "assistant"}], "parallel_tool_calls": true, "previous_response_id": null, "prompt_cache_key": null, "reasoning": {"effort": null, "summary": null}, "safety_identifier": null, "service_tier": "default", "store": true, "temperature": 1.0, "text": {"format": {"type": "text"}, "verbosity": "medium"}, "tool_choice": "auto", "tools": [], "top_logprobs": 0, "top_p": 1.0, "truncation": "disabled", "usage": {"input_tokens": 20, "input_tokens_details": {"cached_tokens": 0}, "output_tokens": 30, "output_tokens_details": {"reasoning_tokens": 0}, "total_tokens": 50}, "user": null, "metadata": {}}'
+        ),
+        path="/responses",
+        mock_client=client,
+        respx_mock=respx_mock,
+    )
+
+    assert response.output_text == "4The result is 4."
+
+
+@pytest.mark.respx(base_url=base_url)
+def test_output_text_code_interpreter_only(client: OpenAI, respx_mock: MockRouter) -> None:
+    """output_text should return code interpreter logs even without a message item."""
+    response = make_snapshot_request(
+        lambda c: c.responses.create(
+            model="gpt-4o-mini",
+            input="Run print('hello')",
+            tools=[{"type": "code_interpreter", "container": {"type": "auto"}}],
+        ),
+        content_snapshot=snapshot(
+            '{"id": "resp_test_ci_002", "object": "response", "created_at": 1754925900, "status": "completed", "background": false, "error": null, "incomplete_details": null, "instructions": null, "max_output_tokens": null, "max_tool_calls": null, "model": "gpt-4o-mini-2024-07-18", "output": [{"id": "ci_002", "type": "code_interpreter_call", "code": "print(\'hello\')", "container_id": "cntr_002", "outputs": [{"type": "logs", "logs": "hello"}], "status": "completed"}], "parallel_tool_calls": true, "previous_response_id": null, "prompt_cache_key": null, "reasoning": {"effort": null, "summary": null}, "safety_identifier": null, "service_tier": "default", "store": true, "temperature": 1.0, "text": {"format": {"type": "text"}, "verbosity": "medium"}, "tool_choice": "auto", "tools": [], "top_logprobs": 0, "top_p": 1.0, "truncation": "disabled", "usage": {"input_tokens": 20, "input_tokens_details": {"cached_tokens": 0}, "output_tokens": 10, "output_tokens_details": {"reasoning_tokens": 0}, "total_tokens": 30}, "user": null, "metadata": {}}'
+        ),
+        path="/responses",
+        mock_client=client,
+        respx_mock=respx_mock,
+    )
+
+    assert response.output_text == "hello"
+
+
+@pytest.mark.respx(base_url=base_url)
+def test_output_text_code_interpreter_outputs_none(client: OpenAI, respx_mock: MockRouter) -> None:
+    """output_text should handle code_interpreter_call with outputs=null gracefully."""
+    response = make_snapshot_request(
+        lambda c: c.responses.create(
+            model="gpt-4o-mini",
+            input="Run something",
+            tools=[{"type": "code_interpreter", "container": {"type": "auto"}}],
+        ),
+        content_snapshot=snapshot(
+            '{"id": "resp_test_ci_003", "object": "response", "created_at": 1754925900, "status": "completed", "background": false, "error": null, "incomplete_details": null, "instructions": null, "max_output_tokens": null, "max_tool_calls": null, "model": "gpt-4o-mini-2024-07-18", "output": [{"id": "ci_003", "type": "code_interpreter_call", "code": "x = 1", "container_id": "cntr_003", "outputs": null, "status": "completed"}], "parallel_tool_calls": true, "previous_response_id": null, "prompt_cache_key": null, "reasoning": {"effort": null, "summary": null}, "safety_identifier": null, "service_tier": "default", "store": true, "temperature": 1.0, "text": {"format": {"type": "text"}, "verbosity": "medium"}, "tool_choice": "auto", "tools": [], "top_logprobs": 0, "top_p": 1.0, "truncation": "disabled", "usage": {"input_tokens": 20, "input_tokens_details": {"cached_tokens": 0}, "output_tokens": 5, "output_tokens_details": {"reasoning_tokens": 0}, "total_tokens": 25}, "user": null, "metadata": {}}'
+        ),
+        path="/responses",
+        mock_client=client,
+        respx_mock=respx_mock,
+    )
+
+    assert response.output_text == ""
+
+
+@pytest.mark.respx(base_url=base_url)
+def test_output_text_code_interpreter_image_only(client: OpenAI, respx_mock: MockRouter) -> None:
+    """output_text should skip image outputs from code_interpreter_call."""
+    response = make_snapshot_request(
+        lambda c: c.responses.create(
+            model="gpt-4o-mini",
+            input="Generate a plot",
+            tools=[{"type": "code_interpreter", "container": {"type": "auto"}}],
+        ),
+        content_snapshot=snapshot(
+            '{"id": "resp_test_ci_004", "object": "response", "created_at": 1754925900, "status": "completed", "background": false, "error": null, "incomplete_details": null, "instructions": null, "max_output_tokens": null, "max_tool_calls": null, "model": "gpt-4o-mini-2024-07-18", "output": [{"id": "ci_004", "type": "code_interpreter_call", "code": "import matplotlib", "container_id": "cntr_004", "outputs": [{"type": "image", "url": "https://example.com/plot.png"}], "status": "completed"}], "parallel_tool_calls": true, "previous_response_id": null, "prompt_cache_key": null, "reasoning": {"effort": null, "summary": null}, "safety_identifier": null, "service_tier": "default", "store": true, "temperature": 1.0, "text": {"format": {"type": "text"}, "verbosity": "medium"}, "tool_choice": "auto", "tools": [], "top_logprobs": 0, "top_p": 1.0, "truncation": "disabled", "usage": {"input_tokens": 20, "input_tokens_details": {"cached_tokens": 0}, "output_tokens": 5, "output_tokens_details": {"reasoning_tokens": 0}, "total_tokens": 25}, "user": null, "metadata": {}}'
+        ),
+        path="/responses",
+        mock_client=client,
+        respx_mock=respx_mock,
+    )
+
+    assert response.output_text == ""
+
+
+@pytest.mark.respx(base_url=base_url)
+def test_output_text_shell_call_output(client: OpenAI, respx_mock: MockRouter) -> None:
+    """output_text should include stdout from shell_call_output items."""
+    response = make_snapshot_request(
+        lambda c: c.responses.create(
+            model="gpt-4o-mini",
+            input="List files",
+            tools=[{"type": "shell", "shell": {"type": "bash"}}],
+        ),
+        content_snapshot=snapshot(
+            '{"id": "resp_test_shell_001", "object": "response", "created_at": 1754925900, "status": "completed", "background": false, "error": null, "incomplete_details": null, "instructions": null, "max_output_tokens": null, "max_tool_calls": null, "model": "gpt-4o-mini-2024-07-18", "output": [{"id": "shell_001", "type": "shell_call_output", "call_id": "call_001", "output": [{"stdout": "file1.txt\\nfile2.txt", "stderr": "", "outcome": {"type": "exit", "exit_code": 0}}], "status": "completed"}], "parallel_tool_calls": true, "previous_response_id": null, "prompt_cache_key": null, "reasoning": {"effort": null, "summary": null}, "safety_identifier": null, "service_tier": "default", "store": true, "temperature": 1.0, "text": {"format": {"type": "text"}, "verbosity": "medium"}, "tool_choice": "auto", "tools": [], "top_logprobs": 0, "top_p": 1.0, "truncation": "disabled", "usage": {"input_tokens": 20, "input_tokens_details": {"cached_tokens": 0}, "output_tokens": 10, "output_tokens_details": {"reasoning_tokens": 0}, "total_tokens": 30}, "user": null, "metadata": {}}'
+        ),
+        path="/responses",
+        mock_client=client,
+        respx_mock=respx_mock,
+    )
+
+    assert response.output_text == "file1.txt\nfile2.txt"
+
+
 @pytest.mark.parametrize("sync", [True, False], ids=["sync", "async"])
 def test_stream_method_definition_in_sync(sync: bool, client: OpenAI, async_client: AsyncOpenAI) -> None:
     checking_client: OpenAI | AsyncOpenAI = client if sync else async_client