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Add a new extraction method using Azure OpenAI GPT-4.1 Mini Preview to extract structured invoice data from PDF documents. The MLLM handler sends the PDF via AddFilePart with a JSON schema prompt and maps the response to E-Document Purchase Header/Line records. New objects: - Table/Page 6142: E-Doc. MLLM Extraction Schema (per-service JSON schema) - Codeunit 6202: E-Document MLLM Handler (IStructureReceivedEDocument) - Codeunit 6203: E-Doc. MLLM Schema Helper (default schema + JSON mapping) - System prompt resource for extraction rules Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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Renumber codeunits to available IDs: E-Document MLLM Handler (6202→6231), E-Doc. MLLM Schema Helper (6203→6232), E-Doc. Purchase Draft Writer (6204→6234). Update app.json idRanges accordingly. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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Fixes #