@chinchillaenterprises/mcp-ai-assistant/dist/schemas/elevenlabs.js

MCP server for AI assistant with ElevenLabs text-to-speech integration

"use strict";
Object.defineProperty(exports, "__esModule", { value: true });
exports.TranscriptionResultSchema = exports.AudioEventSchema = exports.TranscriptionSegmentSchema = exports.SpeakerSchema = exports.TranscriptionJobSchema = exports.CleanupOldJobsArgsSchema = exports.GetUsageStatsArgsSchema = exports.EstimateCostArgsSchema = exports.TranscribeForMeetingArgsSchema = exports.DeleteTranscriptionArgsSchema = exports.ListTranscriptionsArgsSchema = exports.GetTranscriptionResultArgsSchema = exports.GetTranscriptionStatusArgsSchema = exports.TranscribeFileArgsSchema = void 0;
const zod_1 = require("zod");
// Core transcription schemas
exports.TranscribeFileArgsSchema = zod_1.z.object({
    filePath: zod_1.z.string().describe("Path to audio/video file or URL"),
    fileName: zod_1.z.string().optional().describe("Optional filename override"),
    language: zod_1.z.string().optional().describe("Language code (auto-detect if not specified)"),
    quality: zod_1.z.enum(['low', 'high']).optional().default('high').describe("Transcription quality level"),
    numSpeakers: zod_1.z.number().min(1).max(32).optional().describe("Maximum number of speakers (1-32)"),
    diarize: zod_1.z.boolean().optional().describe("Enable speaker diarization (default: true)"),
    diarizationThreshold: zod_1.z.number().min(0.1).max(0.4).optional().describe("Diarization threshold (0.1-0.4)")
});
exports.GetTranscriptionStatusArgsSchema = zod_1.z.object({
    jobId: zod_1.z.string().describe("Transcription job ID")
});
exports.GetTranscriptionResultArgsSchema = zod_1.z.object({
    jobId: zod_1.z.string().describe("Transcription job ID"),
    format: zod_1.z.enum(['structured', 'plain', 'vtt', 'srt']).optional().default('structured').describe("Output format")
});
exports.ListTranscriptionsArgsSchema = zod_1.z.object({
    status: zod_1.z.enum(['all', 'queued', 'processing', 'completed', 'failed']).optional().default('all').describe("Filter by status"),
    limit: zod_1.z.number().optional().default(50).describe("Maximum number of results"),
    dateFrom: zod_1.z.string().optional().describe("Filter from date (ISO string)"),
    dateTo: zod_1.z.string().optional().describe("Filter to date (ISO string)")
});
exports.DeleteTranscriptionArgsSchema = zod_1.z.object({
    jobId: zod_1.z.string().describe("Transcription job ID to delete")
});
// Meeting-optimized transcription schema (Day 4 special feature)
exports.TranscribeForMeetingArgsSchema = zod_1.z.object({
    filePath: zod_1.z.string().describe("Path to meeting recording file or URL"),
    meetingTitle: zod_1.z.string().optional().describe("Meeting title for context"),
    expectedParticipants: zod_1.z.array(zod_1.z.string()).optional().describe("Expected participant names for better speaker identification"),
    meetingDuration: zod_1.z.number().optional().describe("Expected duration in minutes for optimization"),
    includeActionItems: zod_1.z.boolean().optional().default(true).describe("Extract action items using AI"),
    includeKeyTopics: zod_1.z.boolean().optional().default(true).describe("Extract key topics discussed"),
    formatForAI: zod_1.z.boolean().optional().default(true).describe("Format output for AI summarization"),
    optimizeForBusiness: zod_1.z.boolean().optional().default(true).describe("Use business conversation settings")
});
// Cost management schemas
exports.EstimateCostArgsSchema = zod_1.z.object({
    filePath: zod_1.z.string().describe("Path to file for cost estimation"),
    estimatedDuration: zod_1.z.number().optional().describe("Estimated duration in minutes (if known)")
});
exports.GetUsageStatsArgsSchema = zod_1.z.object({
    accountId: zod_1.z.string().optional().describe("Account ID (uses active account if not specified)"),
    period: zod_1.z.enum(['current_month', 'last_month', 'last_3_months', 'all_time']).optional().default('current_month').describe("Time period for stats")
});
exports.CleanupOldJobsArgsSchema = zod_1.z.object({
    olderThanDays: zod_1.z.number().optional().default(7).describe("Delete jobs older than this many days"),
    keepCompleted: zod_1.z.boolean().optional().default(true).describe("Keep completed transcriptions"),
    dryRun: zod_1.z.boolean().optional().default(false).describe("Preview what would be deleted without actually deleting")
});
// Response schemas for validation
exports.TranscriptionJobSchema = zod_1.z.object({
    job_id: zod_1.z.string(),
    status: zod_1.z.enum(['queued', 'processing', 'completed', 'failed']),
    created_at: zod_1.z.string(),
    processed_at: zod_1.z.string().optional(),
    file_name: zod_1.z.string().optional(),
    file_size: zod_1.z.number().optional(),
    duration: zod_1.z.number().optional(),
    progress: zod_1.z.number().optional(),
    error_message: zod_1.z.string().optional()
});
exports.SpeakerSchema = zod_1.z.object({
    id: zod_1.z.string(),
    name: zod_1.z.string().optional(),
    gender: zod_1.z.enum(['male', 'female', 'unknown']).optional(),
    age_group: zod_1.z.enum(['child', 'young_adult', 'adult', 'senior', 'unknown']).optional()
});
exports.TranscriptionSegmentSchema = zod_1.z.object({
    text: zod_1.z.string(),
    speaker: zod_1.z.string(),
    start_time: zod_1.z.number(),
    end_time: zod_1.z.number(),
    confidence: zod_1.z.number(),
    words: zod_1.z.array(zod_1.z.object({
        word: zod_1.z.string(),
        start: zod_1.z.number(),
        end: zod_1.z.number(),
        confidence: zod_1.z.number()
    })).optional()
});
exports.AudioEventSchema = zod_1.z.object({
    type: zod_1.z.enum(['laughter', 'applause', 'music', 'silence', 'noise', 'other']),
    start_time: zod_1.z.number(),
    end_time: zod_1.z.number(),
    confidence: zod_1.z.number(),
    description: zod_1.z.string().optional()
});
exports.TranscriptionResultSchema = zod_1.z.object({
    transcript: zod_1.z.string(),
    speakers: zod_1.z.array(exports.SpeakerSchema),
    segments: zod_1.z.array(exports.TranscriptionSegmentSchema),
    audio_events: zod_1.z.array(exports.AudioEventSchema),
    metadata: zod_1.z.object({
        file_name: zod_1.z.string(),
        file_size: zod_1.z.number(),
        duration: zod_1.z.number(),
        audio_format: zod_1.z.string(),
        sample_rate: zod_1.z.number().optional(),
        channels: zod_1.z.number().optional(),
        language: zod_1.z.string().optional(),
        model_version: zod_1.z.string().optional(),
        processing_time: zod_1.z.number().optional(),
        cost_estimate: zod_1.z.number().optional()
    })
});
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