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https://dev.azure.com/globalhealthx/EMR/_git/helix-engage-server
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feat: transcription fix + SLA write-back + real-time supervisor events
- Deepgram: multichannel=true + language=multi (captures both speakers, multilingual) - LLM speaker identification (agent vs customer from conversational cues) - Removed summarize=v2 (incompatible with multilingual) - SLA computation on call creation (lead.createdAt → call.startedAt elapsed %) - WebSocket: supervisor room + call:created broadcast for real-time updates - Maint: clear-analysis-cache endpoint + scanKeys/deleteCache on SessionService - AI chat: rules-engine context routing with dedicated system prompt Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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@@ -49,6 +49,7 @@ export type CreateCallInput = {
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disposition?: string;
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callNotes?: string;
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leadId?: string;
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sla?: number;
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};
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export type CreateLeadActivityInput = {
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