fix(integrations): langchain add multimodal content transformation functions for images, audio, and files #5278
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Base automatically changed from
constantinius/fix/redact-message-parts-type-blob
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January 13, 2026 09:56
…eport-binary-data
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…tive content formats
…eport-binary-data
…ats and use common function for data URI parsing
![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.
Replace local _transform_langchain_content_block and _get_modality_from_mime_type functions with the shared transform_content_part function. This removes ~170 lines of duplicated code.
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.
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Description
Add more support on message types for
gen_ai.request.messagesIssues
Closes: https://linear.app/getsentry/issue/TET-1637/redact-images-langchain