import { getEmbeddingProvider } from "@omniroute/open-sse/config/embeddingRegistry.ts"; import { getRerankProvider } from "@omniroute/open-sse/config/rerankRegistry.ts"; import { getImageProvider } from "@omniroute/open-sse/config/imageRegistry.ts"; import { getVideoProvider } from "@omniroute/open-sse/config/videoRegistry.ts"; import { getSpeechProvider, getTranscriptionProvider, } from "@omniroute/open-sse/config/audioRegistry.ts"; import { ANTIGRAVITY_PUBLIC_MODELS } from "@omniroute/open-sse/config/antigravityModelAliases.ts"; import { getStaticQoderModels } from "@omniroute/open-sse/services/qoderCli.ts"; import { getModelsByProviderId } from "@/shared/constants/models"; export type LocalCatalogModel = { id: string; name?: string; apiFormat?: string; supportedEndpoints?: string[]; }; const STATIC_MODEL_PROVIDERS: Record Array<{ id: string; name: string }>> = { deepgram: () => [ { id: "nova-3", name: "Nova 3 (Transcription)" }, { id: "nova-2", name: "Nova 2 (Transcription)" }, { id: "whisper-large", name: "Whisper Large (Transcription)" }, { id: "aura-asteria-en", name: "Aura Asteria EN (TTS)" }, { id: "aura-luna-en", name: "Aura Luna EN (TTS)" }, { id: "aura-stella-en", name: "Aura Stella EN (TTS)" }, ], assemblyai: () => [ { id: "universal-3-pro", name: "Universal 3 Pro (Transcription)" }, { id: "universal-2", name: "Universal 2 (Transcription)" }, ], antigravity: () => ANTIGRAVITY_PUBLIC_MODELS.map((model) => ({ ...model })), claude: () => [ { id: "claude-opus-4-8", name: "Claude Opus 4.8" }, { id: "claude-opus-4-7", name: "Claude Opus 4.7" }, { id: "claude-opus-4-6", name: "Claude Opus 4.6" }, { id: "claude-sonnet-4-6", name: "Claude Sonnet 4.6" }, { id: "claude-opus-4-5-20251101", name: "Claude Opus 4.5 (2025-11-01)" }, { id: "claude-sonnet-4-5-20250929", name: "Claude Sonnet 4.5 (2025-09-29)" }, { id: "claude-haiku-4-5-20251001", name: "Claude Haiku 4.5 (2025-10-01)" }, ], perplexity: () => [ { id: "sonar", name: "Sonar (Fast Search)" }, { id: "sonar-pro", name: "Sonar Pro (Advanced Search)" }, { id: "sonar-reasoning", name: "Sonar Reasoning (CoT + Search)" }, { id: "sonar-reasoning-pro", name: "Sonar Reasoning Pro (Advanced CoT + Search)" }, { id: "sonar-deep-research", name: "Sonar Deep Research (Expert Analysis)" }, ], "bailian-coding-plan": () => [ { id: "qwen3.6-plus", name: "Qwen3.6 Plus(vision)" }, { id: "qwen3.5-plus", name: "Qwen3.5 Plus(vision)" }, { id: "qwen3-max-2026-01-23", name: "Qwen3 Max" }, { id: "kimi-k2.5", name: "Kimi K2.5(vision)" }, { id: "glm-5", name: "GLM 5" }, { id: "MiniMax-M2.5", name: "MiniMax M2.5" }, ], gitlab: () => [{ id: "gitlab-duo-code-suggestions", name: "GitLab Duo Code Suggestions" }], nlpcloud: () => getModelsByProviderId("nlpcloud").map((model) => ({ id: model.id, name: model.name || model.id, })), qoder: () => getStaticQoderModels(), }; export function getStaticModelsForProvider(provider: string): LocalCatalogModel[] | undefined { const staticModelsFn = STATIC_MODEL_PROVIDERS[provider]; if (staticModelsFn) { return staticModelsFn(); } const specialtyModels: LocalCatalogModel[] = []; const appendModels = ( models: Array<{ id: string; name?: string }>, metadata?: Pick ) => { for (const model of models) { if (specialtyModels.some((existing) => existing.id === model.id)) continue; specialtyModels.push({ id: model.id, name: model.name || model.id, ...metadata, }); } }; const embeddingProvider = getEmbeddingProvider(provider); if (embeddingProvider) { appendModels(embeddingProvider.models, { apiFormat: "embeddings", supportedEndpoints: ["embeddings"], }); } const rerankProvider = getRerankProvider(provider); if (rerankProvider) { appendModels(rerankProvider.models, { apiFormat: "rerank", supportedEndpoints: ["rerank"], }); } const imageProvider = getImageProvider(provider); if (imageProvider) { appendModels(imageProvider.models); } const videoProvider = getVideoProvider(provider); if (videoProvider) { appendModels(videoProvider.models); } const speechProvider = getSpeechProvider(provider); if (speechProvider) { appendModels(speechProvider.models); } const transcriptionProvider = getTranscriptionProvider(provider); if (transcriptionProvider) { appendModels(transcriptionProvider.models); } return specialtyModels.length > 0 ? specialtyModels : undefined; }