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michelligabrieleandGitHub
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* fix(caching): preserve prompt_tokens_details through embedding cache round-trip The embedding caching layer was dropping prompt_tokens_details (including image_count) because CachedEmbedding had no field for usage metadata and the cache retrieval code reconstructed Usage without it. This caused inconsistent responses where the first call returned image_count but cached responses did not, breaking cost tracking for multimodal embeddings. Add prompt_tokens_details to CachedEmbedding, persist per-item details during cache storage, aggregate them on retrieval, and merge them in combine_usage() for partial cache hits. * style: apply Black formatting to caching files * fix(caching): address Greptile review — cyclic import, guarded construction, nested dict merge Move PromptTokensDetailsWrapper to inline import to resolve CodeQL cyclic import warning. Guard PromptTokensDetailsWrapper construction with try/except to handle unexpected cached keys. Add recursive dict merging in _merge_prompt_tokens_details for nested fields like cache_creation_token_details.