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@llumiverse/common

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Public types, enums and options used by Llumiverse API.

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import { ModelModalities } from "../types.js"; // Record of Vertex AI model capabilities keyed by model ID (last path segment, lowercased) const RECORD_MODEL_CAPABILITIES: Record<string, { input: ModelModalities; output: ModelModalities; tool_support?: boolean }> = { "gemini-2.0-flash-lite-001": { input: { text: true, image: true, video: true, audio: true, embed: false }, output: { text: true, image: false, video: false, audio: false, embed: false }, tool_support: false }, }; // Populate RECORD_FAMILY_CAPABILITIES as a const record (lowest common denominator for each family) const RECORD_FAMILY_CAPABILITIES: Record<string, { input: ModelModalities; output: ModelModalities; tool_support?: boolean }> = { "gemini": { input: { text: true, image: true, video: true, audio: true, embed: false }, output: { text: true, image: false, video: false, audio: false, embed: false }, tool_support: true }, "gemini-2.5-flash-image": { input: { text: true, image: true, video: false, audio: false, embed: false }, output: { text: true, image: true, video: false, audio: false, embed: false }, tool_support: false }, "gemini-3.0-pro-image": { input: { text: true, image: true, video: false, audio: false, embed: false }, output: { text: true, image: true, video: false, audio: false, embed: false }, tool_support: false }, "gemini-3.0-flash-image": { input: { text: true, image: true, video: false, audio: false, embed: false }, output: { text: true, image: true, video: false, audio: false, embed: false }, tool_support: false }, 'imagen': { input: { text: true, image: true, video: false, audio: false, embed: false }, output: { text: false, image: true, video: false, audio: false, embed: false }, tool_support: false }, "imagen-3.0": { input: { text: true, image: false, video: false, audio: false, embed: false }, output: { text: false, image: true, video: false, audio: false, embed: false }, tool_support: false }, "imagen-3.0-capability": { input: { text: true, image: true, video: false, audio: false, embed: false }, output: { text: false, image: true, video: false, audio: false, embed: false }, tool_support: false }, "imagen-4.0": { input: { text: true, image: false, video: false, audio: false, embed: false }, output: { text: false, image: true, video: false, audio: false, embed: false }, tool_support: false }, "imagen-4.0-capability": { input: { text: true, image: true, video: false, audio: false, embed: false }, output: { text: false, image: true, video: false, audio: false, embed: false }, tool_support: false }, "claude": { input: { text: true, image: true, video: false, audio: false, embed: false }, output: { text: true, image: false, video: false, audio: false, embed: false }, tool_support: true }, "llama": { input: { text: true, image: false, video: false, audio: false, embed: false }, output: { text: true, image: false, video: false, audio: false, embed: false }, tool_support: true }, "llama-2": { input: { text: true, image: false, video: false, audio: false, embed: false }, output: { text: true, image: false, video: false, audio: false, embed: false }, tool_support: false }, "llama-3.2": { input: { text: true, image: true, video: false, audio: false, embed: false }, output: { text: true, image: false, video: false, audio: false, embed: false }, tool_support: true }, "llama-4": { input: { text: true, image: true, video: false, audio: false, embed: false }, output: { text: true, image: false, video: false, audio: false, embed: false }, tool_support: true }, }; // Fallback pattern lists for inferring modalities and tool support const IMAGE_INPUT_MODELS = ["image"]; const VIDEO_INPUT_MODELS = ["video"]; const AUDIO_INPUT_MODELS = ["audio"]; const TEXT_INPUT_MODELS = ["text"]; const IMAGE_OUTPUT_MODELS = ["image"]; const VIDEO_OUTPUT_MODELS = ["video"]; const AUDIO_OUTPUT_MODELS = ["audio"]; const TEXT_OUTPUT_MODELS = ["text"]; const EMBEDDING_OUTPUT_MODELS = ["embed"]; const TOOL_SUPPORT_MODELS = ["tool", "sonnet", "opus", "gemini", "claude"]; function modelMatches(modelName: string, patterns: string[]): boolean { return patterns.some(pattern => modelName.includes(pattern)); } function normalizeVertexAIModelName(modelName: string): string { const segments = modelName.toLowerCase().split("/"); return segments[segments.length - 1]; } /** * Get the full ModelCapabilities for a Vertex AI model. * Checks RECORD_MODEL_CAPABILITIES first, then falls back to pattern-based inference. */ export function getModelCapabilitiesVertexAI(model: string): { input: ModelModalities; output: ModelModalities; tool_support?: boolean } { const normalized = normalizeVertexAIModelName(model); const record = RECORD_MODEL_CAPABILITIES[normalized]; if (record) return record; let bestFamilyKey = undefined; let bestFamilyLength = 0; for (const key of Object.keys(RECORD_FAMILY_CAPABILITIES)) { if (normalized.startsWith(key) && key.length > bestFamilyLength) { bestFamilyKey = key; bestFamilyLength = key.length; } } if (bestFamilyKey) { return RECORD_FAMILY_CAPABILITIES[bestFamilyKey]; } const input: ModelModalities = { text: modelMatches(normalized, TEXT_INPUT_MODELS) || undefined, image: modelMatches(normalized, IMAGE_INPUT_MODELS) || undefined, video: modelMatches(normalized, VIDEO_INPUT_MODELS) || undefined, audio: modelMatches(normalized, AUDIO_INPUT_MODELS) || undefined, embed: false }; const output: ModelModalities = { text: modelMatches(normalized, TEXT_OUTPUT_MODELS) || undefined, image: modelMatches(normalized, IMAGE_OUTPUT_MODELS) || undefined, video: modelMatches(normalized, VIDEO_OUTPUT_MODELS) || undefined, audio: modelMatches(normalized, AUDIO_OUTPUT_MODELS) || undefined, embed: modelMatches(normalized, EMBEDDING_OUTPUT_MODELS) || undefined }; const tool_support = modelMatches(normalized, TOOL_SUPPORT_MODELS) || undefined; return { input, output, tool_support }; }