Handle null response output_text items

src/openai/lib/_parsing/_responses.py

@@ -1,7 +1,7 @@
 from __future__ import annotations
 
 import json
-from typing import TYPE_CHECKING, List, Iterable, cast
+from typing import TYPE_CHECKING, List, Iterable, Optional, cast
 from typing_extensions import TypeVar, assert_never
 
 import pydantic
@@ -138,10 +138,13 @@ def parse_response(
     )
 
 
-def parse_text(text: str, text_format: type[TextFormatT] | Omit) -> TextFormatT | None:
+def parse_text(text: Optional[str], text_format: type[TextFormatT] | Omit) -> TextFormatT | None:
     if not is_given(text_format):
         return None
 
+    if text is None:
+        return None
+
     if is_basemodel_type(text_format):
         return cast(TextFormatT, model_parse_json(text_format, text))
 

src/openai/types/responses/response.py

@@ -315,7 +315,7 @@ def output_text(self) -> str:
         for output in self.output:
             if output.type == "message":
                 for content in output.content:
-                    if content.type == "output_text":
+                    if content.type == "output_text" and content.text is not None:
                         texts.append(content.text)
 
         return "".join(texts)

src/openai/types/responses/response_output_text.py

@@ -122,7 +122,7 @@ class ResponseOutputText(BaseModel):
     annotations: List[Annotation]
     """The annotations of the text output."""
 
-    text: str
+    text: Optional[str]
     """The text output from the model."""
 
     type: Literal["output_text"]

tests/lib/responses/test_responses.py

@@ -4,6 +4,7 @@
 
 import pytest
 from respx import MockRouter
+from pydantic import BaseModel
 from inline_snapshot import snapshot
 
 from openai import OpenAI, AsyncOpenAI
@@ -41,6 +42,47 @@ def test_output_text(client: OpenAI, respx_mock: MockRouter) -> None:
     )
 
 
+@pytest.mark.respx(base_url=base_url)
+def test_output_text_ignores_null_text_items(client: OpenAI, respx_mock: MockRouter) -> None:
+    response = make_snapshot_request(
+        lambda c: c.responses.create(
+            model="gpt-4o-mini",
+            input="hi",
+        ),
+        content_snapshot=snapshot(
+            '{"id": "resp_null_output_text", "object": "response", "created_at": 1754925861, "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": "msg_null_output_text", "type": "message", "status": "completed", "content": [{"type": "output_text", "annotations": [], "logprobs": [], "text": null}, {"type": "output_text", "annotations": [], "logprobs": [], "text": "hello"}], "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": 1, "input_tokens_details": {"cached_tokens": 0}, "output_tokens": 1, "output_tokens_details": {"reasoning_tokens": 0}, "total_tokens": 2}, "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_parse_ignores_null_output_text_items(client: OpenAI, respx_mock: MockRouter) -> None:
+    class Payload(BaseModel):
+        message: str
+
+    response = make_snapshot_request(
+        lambda c: c.responses.parse(
+            model="gpt-4o-mini",
+            input="hi",
+            text_format=Payload,
+        ),
+        content_snapshot=snapshot(
+            '{"id": "resp_null_output_text_parse", "object": "response", "created_at": 1754925861, "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": "msg_null_output_text_parse", "type": "message", "status": "completed", "content": [{"type": "output_text", "annotations": [], "logprobs": [], "text": null}, {"type": "output_text", "annotations": [], "logprobs": [], "text": "{\\"message\\":\\"hello\\"}"}], "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": 1, "input_tokens_details": {"cached_tokens": 0}, "output_tokens": 1, "output_tokens_details": {"reasoning_tokens": 0}, "total_tokens": 2}, "user": null, "metadata": {}}'
+        ),
+        path="/responses",
+        mock_client=client,
+        respx_mock=respx_mock,
+    )
+
+    assert response.output[0].content[0].parsed is None
+    assert response.output[0].content[1].parsed == Payload(message="hello")
+
+
 @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