fix(integrations): google-genai: reworked gen_ai.request.messages extraction from parameters
#5275
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![cursor[bot]](https://avatars.githubusercontent.com/in/1210556?s=60&v=4){kind=small}
… if mime_type and file_uri are present (Cursor comment)
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constantinius/fix/redact-message-parts-type-blob
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January 13, 2026 09:56
…i-report-image-inputs
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sentrivana
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Jan 14, 2026
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| if isinstance(function_response, dict): | ||
| tool_call_id = function_response.get("id") | ||
| tool_name = function_response.get("name") | ||
| response_dict = function_response.get("response") or {} | ||
| # Prefer "output" key if present, otherwise use entire response | ||
| output = response_dict.get("output", response_dict) | ||
| else: | ||
| # FunctionResponse object | ||
| tool_call_id = getattr(function_response, "id", None) | ||
| tool_name = getattr(function_response, "name", None) | ||
| response_obj = getattr(function_response, "response", None) or {} |
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I've seen this .get() vs getattr pattern a lot in our AI integrations. Feels like introducing a helper function that would try both at once would potentially deduplicate a lot of code.
Not something that needs to be done in this PR, mostly thinking out loud.
![sentry[bot]](https://avatars.githubusercontent.com/in/12637?s=60&v=4){kind=small}
…AI messages Add transform_content_part() and transform_message_content() functions to standardize content part handling across all AI integrations. These functions transform various SDK-specific formats (OpenAI, Anthropic, Google, LangChain) into a unified format: - blob: base64-encoded binary data - uri: URL references (including file URIs) - file: file ID references Also adds get_modality_from_mime_type() helper to infer content modality (image/audio/video/document) from MIME types.
…rmats Replace inline_data and file_data dict handling with the shared transform_content_part function. Keep Google SDK object handling and PIL.Image support local since those are Google-specific.
Add dedicated transform functions for each AI SDK: - transform_openai_content_part() for OpenAI/LiteLLM image_url format - transform_anthropic_content_part() for Anthropic image/document format - transform_google_content_part() for Google GenAI inline_data/file_data - transform_generic_content_part() for LangChain-style generic format Refactor transform_content_part() to be a heuristic dispatcher that detects the format and delegates to the appropriate specific function. This allows integrations to use the specific function directly for better performance and clarity, while maintaining backward compatibility through the dispatcher for frameworks that can receive any format. Added 38 new unit tests for the SDK-specific functions.
Replace generic transform_content_part with the Google-specific transform_google_content_part function for better performance and clarity since we know Google GenAI uses inline_data and file_data formats.
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Description
Previously we only extracted only text parts were extracted. Now the full range of possibilities are covered.
Issues
Closes https://linear.app/getsentry/issue/TET-1638/redact-images-google-genai