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…onality - Introduced tests for MediaResolver with capability-based fallback for OpenAI and Google models. - Implemented tests for handling unsupported media input errors. - Added regression tests to ensure existing workflows for file_id and signed URLs remain functional. - Created tests for TemporaryMediaCache to validate storage, retrieval, and cleanup processes. - Enhanced tests for converting external URLs to inline bytes for various media types. - Established a test suite for the integration of media handling in multimodal content.
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This pull request introduces several important improvements to media handling, exception management, and public API structure in the
agentflowframework. The most significant changes include the addition of a new exception for unsupported media input, enhanced internal media reference resolution, improved Google integration for media handling, and a more comprehensive and user-friendly package initialization.Media Handling and Integration:
UnsupportedMediaInputError, to provide clear and actionable errors when a model or provider cannot accept a given media input, including structured logging and helpful suggestions.agentflow://media/...URLs to signed URLs or inline base64 before the provider call, ensuring compatibility with provider capabilities. [1] [2]API and Usability Improvements:
__init__.pyto provide a more comprehensive and user-friendly API surface, including a quick start example, organized imports, and a complete__all__for easier discovery and usage.Type Annotations and Documentation:
Messageclass to useSequence[ContentBlock]instead oflist[ContentBlock]for stricter type contracts, improving type safety and clarity. [1] [2]add_conditional_edgesto reduce duplication and improve maintainability.