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49 lines
1.5 KiB
TypeScript
49 lines
1.5 KiB
TypeScript
/**
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* Registry of embedding models supported by the platform.
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* Selection happens server-side via the `KB_EMBEDDING_MODEL` env var; this
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* registry exists to resolve provider, tokenizer, and pricing metadata at
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* runtime for any model recorded on a knowledge base row.
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*/
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export const EMBEDDING_DIMENSIONS = 1536 as const
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export const DEFAULT_EMBEDDING_MODEL = 'text-embedding-3-small'
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export type EmbeddingProviderKind = 'openai' | 'azure-openai' | 'gemini'
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export type TokenizerProviderId = 'openai' | 'google'
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export interface EmbeddingModelInfo {
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provider: EmbeddingProviderKind
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/** Pricing/billing label — must match an entry in EMBEDDING_MODEL_PRICING when billed. */
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pricingId: string
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/** Provider id for `estimateTokenCount` so token counts match the embedding provider's tokenization. */
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tokenizerProvider: TokenizerProviderId
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}
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export const SUPPORTED_EMBEDDING_MODELS: Partial<Record<string, EmbeddingModelInfo>> = {
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'text-embedding-3-small': {
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provider: 'openai',
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pricingId: 'text-embedding-3-small',
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tokenizerProvider: 'openai',
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},
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'text-embedding-3-large': {
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provider: 'openai',
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pricingId: 'text-embedding-3-large',
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tokenizerProvider: 'openai',
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},
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'gemini-embedding-001': {
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provider: 'gemini',
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pricingId: 'gemini-embedding-001',
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tokenizerProvider: 'google',
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},
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}
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export function getEmbeddingModelInfo(model: string): EmbeddingModelInfo {
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const info = SUPPORTED_EMBEDDING_MODELS[model]
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if (!info) {
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throw new Error(`Unsupported embedding model: ${model}`)
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}
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return info
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}
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