import {z} from 'zod' export type AiGeneratePromptRequest = {model: '2.7B' | '6B-v4' | 'euterpe-v2' | 'genji-python-6b' | 'genji-jp-6b' | 'genji-jp-6b-v2' | 'krake-v2' | 'hypebot' | 'infillmodel' | 'cassandra' | 'sigurd-2.9b-v1' | 'blue' | 'red' | 'green' | 'purple' | 'clio-v1' | 'kayra-v1', prompt: string, temp: number, tokens_to_generate: number}; export type CreateApiAiGeneratePromptArgs = {body: AiGeneratePromptRequest}; export type CreateApiAiGeneratePromptOptions = {baseUrl: string, bearer?: string | undefined, fetch?: typeof fetch | undefined}; export const aiGeneratePromptResponse = z.object({generated_text: z.string()}); 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 }; /** * POST /ai/generate-prompt */ export const createApiAiGeneratePrompt = async (args: CreateApiAiGeneratePromptArgs, options: CreateApiAiGeneratePromptOptions) => { const {baseUrl, fetch: fetchFn = fetch, bearer} = options ?? {} const query = new URLSearchParams() const headers = new Headers() headers.set('content-type', "application/json") headers.set('accept', "application/json") if (bearer !== undefined) headers.set('authorization', `Bearer ${bearer}`) const url = `${baseUrl.replace(/\/+$/, '')}/ai/generate-prompt${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(aiGeneratePromptResponse, await res.json()) };