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fix(responses): guard parser/output_text when response.output is null #3323

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fix(responses): guard parser/output_text when response.output is null #3323

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2 changes: 1 addition & 1 deletion src/openai/lib/_parsing/_responses.py
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Original file line number Diff line number Diff line change
Expand Up @@ -58,7 +58,7 @@ def parse_response(
) -> ParsedResponse[TextFormatT]:
output_list: List[ParsedResponseOutputItem[TextFormatT]] = []

for output in response.output:
for output in (response.output or []):
if output.type == "message":
content_list: List[ParsedContent[TextFormatT]] = []
for item in output.content:
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2 changes: 1 addition & 1 deletion src/openai/types/responses/response.py
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Expand Up @@ -313,7 +313,7 @@ def output_text(self) -> str:
If no `output_text` content blocks exist, then an empty string is returned.
"""
texts: List[str] = []
for output in self.output:
for output in (self.output or []):
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@chatgpt-codex-connector chatgpt-codex-connector Bot May 27, 2026

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P2 Badge Make output nullable for strict validation

When the API returns output: null and the client is configured with _strict_response_validation=True, this guard is never reached: _process_response_data calls validate_type() before constructing the Response, and Response.output is still declared as List[ResponseOutputItem], so Pydantic rejects None up front. This means strict-validation users still get an APIResponseValidationError for the null-output response this change is trying to tolerate; the field type needs to allow None as well as the runtime guard.

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if output.type == "message":
for content in output.content:
if content.type == "output_text":
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