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https://github.com/diegosouzapw/OmniRoute.git
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Audio endpoints (/v1/audio/speech and /v1/audio/transcriptions) only supported hardcoded providers from audioRegistry.ts. Local inference backends configured as provider_nodes (e.g., MLX-Audio, oMLX) could not serve audio through OmniRoute. This adds a Phase 3 fallback in the audio model parser that consults provider_nodes from the database. Local providers with api_type=openai are automatically available for audio routing via their prefix (e.g., mlx-audio/tts-model, omlx/whisper-large-v3-turbo). Design: injection pattern — Next.js route handlers load provider_nodes (async DB query) and pass them to the sync parser as a parameter. No cross-workspace imports, no breaking changes to existing parsers. Changes: - Add buildDynamicAudioProvider() in audioRegistry.ts - Add Phase 3 (provider_nodes prefix match) to parseAudioModel() - Extend parseSpeechModel/parseTranscriptionModel with optional dynamicProviders parameter (backward compatible) - Load and inject provider_nodes in speech/transcription route handlers - Dynamic providers use authType=none (local, no credentials needed)
365 lines
9.7 KiB
TypeScript
365 lines
9.7 KiB
TypeScript
/**
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* Audio Provider Registry
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*
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* Defines providers that support audio endpoints:
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* - /v1/audio/transcriptions (Whisper API)
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* - /v1/audio/speech (TTS API)
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*/
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interface AudioModel {
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id: string;
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name: string;
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}
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export interface AudioProvider {
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id: string;
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baseUrl: string;
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authType: string;
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authHeader: string;
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format?: string;
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async?: boolean;
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models: AudioModel[];
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}
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export const AUDIO_TRANSCRIPTION_PROVIDERS: Record<string, AudioProvider> = {
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openai: {
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id: "openai",
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baseUrl: "https://api.openai.com/v1/audio/transcriptions",
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authType: "apikey",
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authHeader: "bearer",
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models: [
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{ id: "whisper-1", name: "Whisper 1" },
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{ id: "gpt-4o-transcription", name: "GPT-4o Transcription" },
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],
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},
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groq: {
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id: "groq",
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baseUrl: "https://api.groq.com/openai/v1/audio/transcriptions",
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authType: "apikey",
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authHeader: "bearer",
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models: [
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{ id: "whisper-large-v3", name: "Whisper Large v3" },
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{ id: "whisper-large-v3-turbo", name: "Whisper Large v3 Turbo" },
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{ id: "distil-whisper-large-v3-en", name: "Distil Whisper Large v3 EN" },
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],
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},
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deepgram: {
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id: "deepgram",
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baseUrl: "https://api.deepgram.com/v1/listen",
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authType: "apikey",
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authHeader: "token",
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format: "deepgram",
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models: [
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{ id: "nova-3", name: "Nova 3" },
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{ id: "nova-2", name: "Nova 2" },
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{ id: "whisper-large", name: "Whisper Large" },
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],
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},
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assemblyai: {
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id: "assemblyai",
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baseUrl: "https://api.assemblyai.com/v2/transcript",
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authType: "apikey",
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authHeader: "bearer",
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async: true,
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format: "assemblyai",
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models: [
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{ id: "universal-3-pro", name: "Universal 3 Pro" },
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{ id: "universal-2", name: "Universal 2" },
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],
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},
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nvidia: {
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id: "nvidia",
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baseUrl: "https://integrate.api.nvidia.com/v1/audio/transcriptions",
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authType: "apikey",
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authHeader: "bearer",
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format: "nvidia-asr",
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models: [{ id: "nvidia/parakeet-ctc-1.1b-asr", name: "Parakeet CTC 1.1B" }],
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},
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huggingface: {
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id: "huggingface",
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baseUrl: "https://api-inference.huggingface.co/models",
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authType: "apikey",
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authHeader: "bearer",
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format: "huggingface-asr",
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models: [
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{ id: "openai/whisper-large-v3", name: "Whisper Large v3 (HF)" },
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{ id: "openai/whisper-small", name: "Whisper Small (HF)" },
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],
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},
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qwen: {
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id: "qwen",
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baseUrl: "http://localhost:8000/v1/audio/transcriptions",
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authType: "none",
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authHeader: "none",
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format: "openai",
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models: [{ id: "qwen3-asr", name: "Qwen3 ASR" }],
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},
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};
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export const AUDIO_SPEECH_PROVIDERS: Record<string, AudioProvider> = {
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openai: {
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id: "openai",
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baseUrl: "https://api.openai.com/v1/audio/speech",
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authType: "apikey",
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authHeader: "bearer",
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models: [
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{ id: "tts-1", name: "TTS 1" },
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{ id: "tts-1-hd", name: "TTS 1 HD" },
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{ id: "gpt-4o-mini-tts", name: "GPT-4o Mini TTS" },
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],
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},
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hyperbolic: {
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id: "hyperbolic",
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baseUrl: "https://api.hyperbolic.xyz/v1/audio/generation",
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authType: "apikey",
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authHeader: "bearer",
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format: "hyperbolic",
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models: [{ id: "melo-tts", name: "Melo TTS" }],
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},
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deepgram: {
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id: "deepgram",
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baseUrl: "https://api.deepgram.com/v1/speak",
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authType: "apikey",
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authHeader: "token",
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format: "deepgram",
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models: [
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{ id: "aura-asteria-en", name: "Aura Asteria (EN)" },
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{ id: "aura-luna-en", name: "Aura Luna (EN)" },
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{ id: "aura-stella-en", name: "Aura Stella (EN)" },
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],
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},
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nvidia: {
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id: "nvidia",
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baseUrl: "https://integrate.api.nvidia.com/v1/audio/speech",
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authType: "apikey",
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authHeader: "bearer",
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format: "nvidia-tts",
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models: [
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{ id: "nvidia/fastpitch", name: "FastPitch" },
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{ id: "nvidia/tacotron2", name: "Tacotron2" },
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],
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},
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elevenlabs: {
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id: "elevenlabs",
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baseUrl: "https://api.elevenlabs.io/v1/text-to-speech",
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authType: "apikey",
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authHeader: "xi-api-key",
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format: "elevenlabs",
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models: [
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{ id: "eleven_multilingual_v2", name: "Eleven Multilingual v2" },
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{ id: "eleven_turbo_v2_5", name: "Eleven Turbo v2.5" },
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],
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},
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huggingface: {
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id: "huggingface",
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baseUrl: "https://api-inference.huggingface.co/models",
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authType: "apikey",
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authHeader: "bearer",
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format: "huggingface-tts",
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models: [
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{ id: "facebook/mms-tts-eng", name: "MMS TTS English" },
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{ id: "microsoft/speecht5_tts", name: "SpeechT5 TTS" },
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],
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},
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coqui: {
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id: "coqui",
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baseUrl: "http://localhost:5002/api/tts",
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authType: "none",
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authHeader: "none",
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format: "coqui",
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models: [{ id: "tts_models/en/ljspeech/tacotron2-DDC", name: "Tacotron2 DDC (LJSpeech)" }],
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},
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tortoise: {
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id: "tortoise",
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baseUrl: "http://localhost:5000/api/tts",
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authType: "none",
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authHeader: "none",
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format: "tortoise",
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models: [{ id: "tortoise-v2", name: "Tortoise v2" }],
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},
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qwen: {
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id: "qwen",
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baseUrl: "http://localhost:8000/v1/audio/speech",
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authType: "none",
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authHeader: "none",
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format: "openai",
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models: [{ id: "qwen3-tts", name: "Qwen3 TTS" }],
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},
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// ── Cloud TTS Providers (#248) ────────────────────────────────────────────
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inworld: {
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id: "inworld",
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// POST https://api.inworld.ai/tts/v1/voice
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// Auth: Authorization: Basic <api-key>
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// Response: JSON { audioContent: "<base64>", contentType, sampleRateHertz }
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baseUrl: "https://api.inworld.ai/tts/v1/voice",
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authType: "apikey",
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authHeader: "basic",
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format: "inworld",
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models: [
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{ id: "inworld-tts-1.5-max", name: "Inworld TTS 1.5 Max" },
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{ id: "inworld-tts-1.5-mini", name: "Inworld TTS 1.5 Mini" },
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],
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},
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cartesia: {
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id: "cartesia",
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// POST https://api.cartesia.ai/tts/bytes
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// Auth: X-API-Key header, Cartesia-Version: 2024-06-10
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// Response: binary audio bytes
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baseUrl: "https://api.cartesia.ai/tts/bytes",
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authType: "apikey",
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authHeader: "x-api-key",
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format: "cartesia",
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models: [
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{ id: "sonic-2", name: "Sonic 2" },
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{ id: "sonic-3", name: "Sonic 3" },
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],
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},
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playht: {
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id: "playht",
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// POST https://api.play.ht/api/v2/tts/stream
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// Auth: X-USER-ID + Authorization: Bearer <api-key>
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// Response: audio stream (mp3/wav)
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baseUrl: "https://api.play.ht/api/v2/tts/stream",
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authType: "apikey",
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authHeader: "playht",
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format: "playht",
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models: [
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{ id: "PlayDialog", name: "PlayDialog" },
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{ id: "Play3.0-mini", name: "Play3.0 Mini" },
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],
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},
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};
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/**
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* Get transcription provider config by ID
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*/
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export function getTranscriptionProvider(providerId: string): AudioProvider | null {
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return AUDIO_TRANSCRIPTION_PROVIDERS[providerId] || null;
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}
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/**
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* Get speech provider config by ID
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*/
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export function getSpeechProvider(providerId: string): AudioProvider | null {
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return AUDIO_SPEECH_PROVIDERS[providerId] || null;
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}
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export interface ProviderNodeRow {
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prefix: string;
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name: string;
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baseUrl: string;
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apiType?: string;
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}
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/**
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* Build a dynamic AudioProvider from a provider_node DB entry.
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* Only used for local providers (localhost/127.0.0.1) — remote nodes are
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* excluded by the caller to prevent auth bypass and SSRF.
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*/
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export function buildDynamicAudioProvider(node: ProviderNodeRow, audioPath: string): AudioProvider {
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if (!node.prefix || !node.baseUrl) {
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throw new Error(`Invalid provider_node: missing prefix or baseUrl`);
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}
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const baseUrl = node.baseUrl.replace(/\/+$/, "");
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return {
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id: node.prefix,
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baseUrl: `${baseUrl}${audioPath}`,
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authType: "none",
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authHeader: "none",
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models: [],
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};
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}
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function parseAudioModel(
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modelStr: string | null,
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registry: Record<string, AudioProvider>,
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dynamicProviders?: AudioProvider[]
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): { provider: string | null; model: string | null } {
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if (!modelStr) return { provider: null, model: null };
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// Phase 1: prefix match in hardcoded registry
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for (const [providerId] of Object.entries(registry)) {
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if (modelStr.startsWith(providerId + "/")) {
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return { provider: providerId, model: modelStr.slice(providerId.length + 1) };
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}
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}
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// Phase 2: bare model lookup in hardcoded registry
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for (const [providerId, config] of Object.entries(registry)) {
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if (config.models.some((m) => m.id === modelStr)) {
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return { provider: providerId, model: modelStr };
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}
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}
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// Phase 3: prefix match in dynamic providers (provider_nodes)
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if (dynamicProviders) {
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for (const dp of dynamicProviders) {
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if (modelStr.startsWith(dp.id + "/")) {
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return { provider: dp.id, model: modelStr.slice(dp.id.length + 1) };
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}
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}
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}
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return { provider: null, model: modelStr };
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}
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export function parseTranscriptionModel(
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modelStr: string | null,
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dynamicProviders?: AudioProvider[]
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) {
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return parseAudioModel(modelStr, AUDIO_TRANSCRIPTION_PROVIDERS, dynamicProviders);
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}
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export function parseSpeechModel(modelStr: string | null, dynamicProviders?: AudioProvider[]) {
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return parseAudioModel(modelStr, AUDIO_SPEECH_PROVIDERS, dynamicProviders);
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}
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/**
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* Get all audio models as a flat list
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*/
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export function getAllAudioModels() {
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const models = [];
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for (const [providerId, config] of Object.entries(AUDIO_TRANSCRIPTION_PROVIDERS)) {
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for (const model of config.models) {
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models.push({
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id: `${providerId}/${model.id}`,
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name: model.name,
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provider: providerId,
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subtype: "transcription",
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});
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}
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}
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for (const [providerId, config] of Object.entries(AUDIO_SPEECH_PROVIDERS)) {
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for (const model of config.models) {
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models.push({
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id: `${providerId}/${model.id}`,
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name: model.name,
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provider: providerId,
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subtype: "speech",
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});
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}
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}
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return models;
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}
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