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import { makeImageProcessor, type ImageProcessorOptions } from "../images";
import { makeDocumentProcessor, type FileProcessorOptions } from "../document";
import type { EndpointMessage } from "../endpoints";
import type { MessageFile } from "$lib/types/Message";
import type {
BetaImageBlockParam,
BetaMessageParam,
BetaBase64PDFBlock,
} from "@anthropic-ai/sdk/resources/beta/messages/messages.mjs";
import type { ToolResult } from "$lib/types/Tool";
import { downloadFile } from "$lib/server/files/downloadFile";
import type { ObjectId } from "mongodb";
export async function fileToImageBlock(
file: MessageFile,
opts: ImageProcessorOptions<"image/png" | "image/jpeg" | "image/webp">
): Promise<BetaImageBlockParam> {
const processor = makeImageProcessor(opts);
const { image, mime } = await processor(file);
return {
type: "image",
source: {
type: "base64",
media_type: mime,
data: image.toString("base64"),
},
};
}
export async function fileToDocumentBlock(
file: MessageFile,
opts: FileProcessorOptions<"application/pdf">
): Promise<BetaBase64PDFBlock> {
const processor = makeDocumentProcessor(opts);
const { file: document, mime } = await processor(file);
return {
type: "document",
source: {
type: "base64",
media_type: mime,
data: document.toString("base64"),
},
};
}
type NonSystemMessage = EndpointMessage & { from: "user" | "assistant" };
export async function endpointMessagesToAnthropicMessages(
messages: EndpointMessage[],
multimodal: {
image: ImageProcessorOptions<"image/png" | "image/jpeg" | "image/webp">;
document?: FileProcessorOptions<"application/pdf">;
},
conversationId?: ObjectId | undefined
): Promise<BetaMessageParam[]> {
return await Promise.all(
messages
.filter((message): message is NonSystemMessage => message.from !== "system")
.map<Promise<BetaMessageParam>>(async (message) => {
return {
role: message.from,
content: [
...(message.from === "user"
? await Promise.all(
(message.files ?? []).map(async (file) => {
if (file.type === "hash" && conversationId) {
file = await downloadFile(file.value, conversationId);
}
if (file.mime.startsWith("image/")) {
return fileToImageBlock(file, multimodal.image);
} else if (file.mime === "application/pdf" && multimodal.document) {
return fileToDocumentBlock(file, multimodal.document);
} else {
throw new Error(`Unsupported file type: ${file.mime}`);
}
})
)
: []),
{ type: "text", text: message.content },
],
};
})
);
}
export function addToolResults(
messages: BetaMessageParam[],
toolResults: ToolResult[]
): BetaMessageParam[] {
const id = crypto.randomUUID();
if (toolResults.length === 0) {
return messages;
}
return [
...messages,
{
role: "assistant",
content: toolResults.map((result, index) => ({
type: "tool_use",
id: `tool_${index}_${id}`,
name: result.call.name,
input: result.call.parameters,
})),
},
{
role: "user",
content: toolResults.map((result, index) => ({
type: "tool_result",
tool_use_id: `tool_${index}_${id}`,
is_error: result.status === "error",
content: JSON.stringify(
result.status === "error" ? result.message : "outputs" in result ? result.outputs : ""
),
})),
},
];
}