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import { z } from "zod";
import type { Endpoint } from "../endpoints";
import type { TextGenerationStreamOutput } from "@huggingface/inference";
import { createImageProcessorOptionsValidator, makeImageProcessor } from "../images";
import type { EndpointMessage } from "../endpoints";
import type { MessageFile } from "$lib/types/Message";
export const endpointBedrockParametersSchema = z.object({
weight: z.number().int().positive().default(1),
type: z.literal("bedrock"),
region: z.string().default("us-east-1"),
model: z.any(),
anthropicVersion: z.string().default("bedrock-2023-05-31"),
multimodal: z
.object({
image: createImageProcessorOptionsValidator({
supportedMimeTypes: [
"image/png",
"image/jpeg",
"image/webp",
"image/avif",
"image/tiff",
"image/gif",
],
preferredMimeType: "image/webp",
maxSizeInMB: Infinity,
maxWidth: 4096,
maxHeight: 4096,
}),
})
.default({}),
});
export async function endpointBedrock(
input: z.input<typeof endpointBedrockParametersSchema>
): Promise<Endpoint> {
const { region, model, anthropicVersion, multimodal } =
endpointBedrockParametersSchema.parse(input);
let BedrockRuntimeClient, InvokeModelWithResponseStreamCommand;
try {
({ BedrockRuntimeClient, InvokeModelWithResponseStreamCommand } = await import(
"@aws-sdk/client-bedrock-runtime"
));
} catch (error) {
throw new Error("Failed to import @aws-sdk/client-bedrock-runtime. Make sure it's installed.");
}
const client = new BedrockRuntimeClient({
region,
});
const imageProcessor = makeImageProcessor(multimodal.image);
return async ({ messages, preprompt, generateSettings }) => {
let system = preprompt;
// Use the first message as the system prompt if it's of type "system"
if (messages?.[0]?.from === "system") {
system = messages[0].content;
messages = messages.slice(1); // Remove the first system message from the array
}
const formattedMessages = await prepareMessages(messages, imageProcessor);
let tokenId = 0;
const parameters = { ...model.parameters, ...generateSettings };
return (async function* () {
const command = new InvokeModelWithResponseStreamCommand({
body: Buffer.from(
JSON.stringify({
anthropic_version: anthropicVersion,
max_tokens: parameters.max_new_tokens ? parameters.max_new_tokens : 4096,
messages: formattedMessages,
system,
}),
"utf-8"
),
contentType: "application/json",
accept: "application/json",
modelId: model.id,
trace: "DISABLED",
});
const response = await client.send(command);
let text = "";
for await (const item of response.body ?? []) {
const chunk = JSON.parse(new TextDecoder().decode(item.chunk?.bytes));
const chunk_type = chunk.type;
if (chunk_type === "content_block_delta") {
text += chunk.delta.text;
yield {
token: {
id: tokenId++,
text: chunk.delta.text,
logprob: 0,
special: false,
},
generated_text: null,
details: null,
} satisfies TextGenerationStreamOutput;
} else if (chunk_type === "message_stop") {
yield {
token: {
id: tokenId++,
text: "",
logprob: 0,
special: true,
},
generated_text: text,
details: null,
} satisfies TextGenerationStreamOutput;
}
}
})();
};
}
// Prepare the messages excluding system prompts
async function prepareMessages(
messages: EndpointMessage[],
imageProcessor: ReturnType<typeof makeImageProcessor>
) {
const formattedMessages = [];
for (const message of messages) {
const content = [];
if (message.files?.length) {
content.push(...(await prepareFiles(imageProcessor, message.files)));
}
content.push({ type: "text", text: message.content });
const lastMessage = formattedMessages[formattedMessages.length - 1];
if (lastMessage && lastMessage.role === message.from) {
// If the last message has the same role, merge the content
lastMessage.content.push(...content);
} else {
formattedMessages.push({ role: message.from, content });
}
}
return formattedMessages;
}
// Process files and convert them to base64 encoded strings
async function prepareFiles(
imageProcessor: ReturnType<typeof makeImageProcessor>,
files: MessageFile[]
) {
const processedFiles = await Promise.all(files.map(imageProcessor));
return processedFiles.map((file) => ({
type: "image",
source: { type: "base64", media_type: "image/jpeg", data: file.image.toString("base64") },
}));
}
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