fix(integrations): pydantic-ai: properly format binary input message parts to be conformant with the gen_ai.request.messages structure
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…parts to be conformant with the `gen_ai.request.messages` structure
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Base automatically changed from
constantinius/fix/redact-message-parts-type-blob
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master
January 13, 2026 09:56
…-report-image-inputs
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…-report-image-inputs
…that gets redacted
…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.
…/utils
Replace manual mime_type.split('/')[0] logic with the shared
get_modality_from_mime_type function for consistent modality detection.
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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Issues
Closes https://linear.app/getsentry/issue/TET-1634/redact-images-pydantic-ai