Dev#2401
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Replace the byte[]-based attachment extraction pipeline with a streaming one to avoid full in-memory buffering of CHEFS attachments when generating AI summaries. - ISubmissionAppService gains GetChefsFileAttachmentStream returning a ChefsFileAttachmentStream (Stream + content-type) backed by a temp file with FileOptions.DeleteOnClose. Implementation uses HttpCompletionOption.ResponseHeadersRead so the HTTP layer streams the response body directly to disk instead of buffering it. Temp file is cleaned up on copy/open failure. - IResilientHttpRequest.HttpAsync gains an optional HttpCompletionOption parameter (default ResponseContentRead preserves all existing callers). - ITextExtractionService.ExtractTextAsync now takes a Stream. The byte[] overload, the byte[] extractor dictionary, and the per-format byte[] private methods are removed. PDF/Word/Excel/PowerPoint extractors consume the stream directly; the text-file extractor reads incrementally via StreamReader. - AttachmentSummaryRequest drops byte[] FileContent and gains string? ExtractedText. AttachmentSummaryService streams the file, extracts text once, and passes ExtractedText to the AI runtime. - OpenAIRuntimeService.GenerateAttachmentSummaryAsync uses request.ExtractedText directly; the byte[] extraction fallback, sizeBytes payload field, and ITextExtractionService dependency are removed. Build clean. Application.Tests 337/337 and Web.Tests 16/16 pass. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
…ts-lower-memory-ai-processing Feature/ab#32302 stream attachments lower memory ai processing
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🧪 Unit Test Results (Parallel Execution)📊 Summary
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