mirror of
https://dev.azure.com/globalhealthx/EMR/_git/helix-engage-server
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- CallerContextService: fetches lead profile, appointments, call history, activities in parallel. Caches in Redis (5 min TTL). Renders as human-readable KB section — no UUIDs exposed to the LLM. - Caller resolution controller: prewarms context cache on resolve (fire-and-forget) so the AI stream has a cache hit. - AI chat stream: injects caller context into system prompt KB instead of raw Lead ID. LLM answers patient questions from context, no tool calls needed for current caller data. - Eliminates UUID hallucination: LLM never sees leadId or patientId, can't pass wrong ID to wrong tool parameter. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
37 lines
1.2 KiB
TypeScript
37 lines
1.2 KiB
TypeScript
import { Controller, Post, Body, Headers, HttpException, HttpStatus, Logger } from '@nestjs/common';
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import { CallerResolutionService } from './caller-resolution.service';
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import { CallerContextService } from './caller-context.service';
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@Controller('api/caller')
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export class CallerResolutionController {
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private readonly logger = new Logger(CallerResolutionController.name);
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constructor(
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private readonly resolution: CallerResolutionService,
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private readonly callerContext: CallerContextService,
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) {}
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@Post('resolve')
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async resolve(
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@Body('phone') phone: string,
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@Headers('authorization') auth: string,
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) {
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if (!phone) {
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throw new HttpException('phone is required', HttpStatus.BAD_REQUEST);
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}
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if (!auth) {
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throw new HttpException('Authorization header required', HttpStatus.UNAUTHORIZED);
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}
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this.logger.log(`[RESOLVE] Resolving caller: ${phone}`);
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const result = await this.resolution.resolve(phone, auth);
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// Pre-warm caller context cache so the AI chat has it ready
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if (result.leadId) {
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this.callerContext.prewarm(result.leadId, result.patientId, auth);
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}
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return result;
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}
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}
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