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import { z } from "zod";
import type { EmbeddingEndpoint, Embedding } from "../embeddingEndpoints";
import { chunk } from "$lib/utils/chunk";
import { env } from "$env/dynamic/private";
import { logger } from "$lib/server/logger";
export const embeddingEndpointTeiParametersSchema = z.object({
weight: z.number().int().positive().default(1),
model: z.any(),
type: z.literal("tei"),
url: z.string().url(),
authorization: z
.string()
.optional()
.transform((v) => (!v && env.HF_TOKEN ? "Bearer " + env.HF_TOKEN : v)), // if the header is not set but HF_TOKEN is, use it as the authorization header
});
const getModelInfoByUrl = async (url: string, authorization?: string) => {
const { origin } = new URL(url);
const response = await fetch(`${origin}/info`, {
headers: {
Accept: "application/json",
"Content-Type": "application/json",
...(authorization ? { Authorization: authorization } : {}),
},
});
try {
const json = await response.json();
return { max_client_batch_size: 32, max_batch_tokens: 16384, ...json };
} catch {
logger.debug("Could not get info from TEI embedding endpoint. Using defaults.");
return { max_client_batch_size: 32, max_batch_tokens: 16384 };
}
};
export async function embeddingEndpointTei(
input: z.input<typeof embeddingEndpointTeiParametersSchema>
): Promise<EmbeddingEndpoint> {
const { url, model, authorization } = embeddingEndpointTeiParametersSchema.parse(input);
const { max_client_batch_size, max_batch_tokens } = await getModelInfoByUrl(url);
const maxBatchSize = Math.min(
max_client_batch_size,
Math.floor(max_batch_tokens / model.chunkCharLength)
);
return async ({ inputs }) => {
const { origin } = new URL(url);
const batchesInputs = chunk(inputs, maxBatchSize);
const batchesResults = await Promise.all(
batchesInputs.map(async (batchInputs) => {
const response = await fetch(`${origin}/embed`, {
method: "POST",
headers: {
Accept: "application/json",
"Content-Type": "application/json",
...(authorization ? { Authorization: authorization } : {}),
},
body: JSON.stringify({ inputs: batchInputs, normalize: true, truncate: true }),
});
const embeddings: Embedding[] = await response.json();
return embeddings;
})
);
const flatAllEmbeddings = batchesResults.flat();
return flatAllEmbeddings;
};
}
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