import {z} from 'zod' export type EmbeddingDtype = 'float' | 'int8' | 'uint8' | 'binary' | 'ubinary'; export type EncodingFormat = 'float' | 'base64'; export type EmbeddingRequest = {model: string, metadata?: ({[key: string]: unknown} | null) | undefined, input: string | Array, output_dimension?: (number | null) | undefined, output_dtype?: EmbeddingDtype | undefined, encoding_format?: EncodingFormat | undefined}; export type CreateApiV1EmbeddingsArgs = {body: EmbeddingRequest}; export type CreateApiV1EmbeddingsOptions = {baseUrl?: string | undefined, ApiKey?: string | undefined, fetch?: typeof fetch | undefined}; export const usageInfo = z.object({prompt_tokens: z.number().int(), completion_tokens: z.number().int(), total_tokens: z.number().int(), prompt_audio_seconds: z.number().int().nullable().optional(), service_tier: z.string().nullable().optional()}); export const embeddingResponseData = z.object({object: z.string().optional(), embedding: z.array(z.number()).optional(), index: z.number().int().optional()}); export const embeddingResponse = z.object({id: z.string(), object: z.string(), model: z.string(), usage: usageInfo, data: z.array(embeddingResponseData)}); export const validateResponse = async ( schema: { readonly '~standard': { readonly validate: (value: unknown) => ({ readonly value: Output; readonly issues?: undefined } | { readonly issues: ReadonlyArray<{ readonly message: string; readonly path?: ReadonlyArray | undefined }> }) | Promise<{ readonly value: Output; readonly issues?: undefined } | { readonly issues: ReadonlyArray<{ readonly message: string; readonly path?: ReadonlyArray | undefined }> }> } }, value: unknown ): Promise => { const result = await schema['~standard'].validate(value) if (result.issues !== undefined) { const detail = result.issues .map(({ message, path }) => path?.length ? `${path.map((segment) => String(typeof segment === 'object' ? segment.key : segment)).join('.')}: ${message}` : message ) .join('; ') throw new Error(`Response does not match the schema: ${detail}`, { cause: { issues: result.issues } }) } return result.value }; /** * Embeddings * * POST /v1/embeddings */ export const createApiV1Embeddings = async (args: CreateApiV1EmbeddingsArgs, options?: CreateApiV1EmbeddingsOptions) => { const {baseUrl = "https://api.mistral.ai", fetch: fetchFn = fetch, ApiKey} = options ?? {} const query = new URLSearchParams() const headers = new Headers() headers.set('content-type', "application/json") headers.set('accept', "application/json") if (ApiKey !== undefined) headers.set('authorization', `Bearer ${ApiKey}`) const url = `${baseUrl.replace(/\/+$/, '')}/v1/embeddings${query.size > 0 ? `?${query}` : ''}` const res = await fetchFn(url, {method: "POST", headers, body: JSON.stringify(args.body)}) if (!res.ok) throw new Error(`Request failed with status ${res.status}`, {cause: {status: res.status, body: await res.text()}}) return validateResponse(embeddingResponse, await res.json()) };