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Modular backends & support for openAI & AWS endpoints (#541)
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import { buildPrompt } from "$lib/buildPrompt";
import { textGenerationStream } from "@huggingface/inference";
import { z } from "zod";
import type { Endpoint } from "../endpoints";
export const endpointAwsParametersSchema = z.object({
weight: z.number().int().positive().default(1),
model: z.any(),
type: z.literal("aws"),
url: z.string().url(),
accessKey: z.string().min(1),
secretKey: z.string().min(1),
sessionToken: z.string().optional(),
service: z.union([z.literal("sagemaker"), z.literal("lambda")]).default("sagemaker"),
region: z.string().optional(),
});
export async function endpointAws({
url,
accessKey,
secretKey,
sessionToken,
model,
region,
service,
}: z.infer<typeof endpointAwsParametersSchema>): Promise<Endpoint> {
let AwsClient;
try {
AwsClient = (await import("aws4fetch")).AwsClient;
} catch (e) {
throw new Error("Failed to import aws4fetch");
}
const aws = new AwsClient({
accessKeyId: accessKey,
secretAccessKey: secretKey,
sessionToken,
service,
region,
});
return async ({ conversation }) => {
const prompt = await buildPrompt({
messages: conversation.messages,
webSearch: conversation.messages[conversation.messages.length - 1].webSearch,
preprompt: conversation.preprompt,
model,
});
return textGenerationStream(
{
parameters: { ...model.parameters, return_full_text: false },
model: url,
inputs: prompt,
},
{
use_cache: false,
fetch: aws.fetch.bind(aws) as typeof fetch,
}
);
};
}
export default endpointAws;