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https://github.com/ChatGPTNextWeb/ChatGPT-Next-Web.git
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修改: app/api/bedrock.ts
修改: app/api/bedrock/models.ts 修改: app/api/bedrock/utils.ts 修改: app/client/api.ts 修改: app/client/platforms/bedrock.ts 新文件: app/components/chat-actions.tsx 修改: app/components/chat.module.scss 修改: app/components/chat.tsx 修改: app/constant.ts 新文件: app/icons/document.svg 修改: app/locales/cn.ts 修改: app/locales/en.ts
This commit is contained in:
@@ -4,25 +4,17 @@ import { NextRequest, NextResponse } from "next/server";
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import { auth } from "./auth";
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import {
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BedrockRuntimeClient,
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InvokeModelCommand,
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ConverseStreamOutput,
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ValidationException,
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ModelStreamErrorException,
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ThrottlingException,
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ServiceUnavailableException,
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InternalServerException,
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} from "@aws-sdk/client-bedrock-runtime";
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import { validateModelId } from "./bedrock/utils";
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import {
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ConverseRequest,
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formatRequestBody,
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parseModelResponse,
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} from "./bedrock/models";
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import { ConverseRequest, createConverseStreamCommand } from "./bedrock/models";
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interface ContentItem {
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type: string;
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text?: string;
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image_url?: {
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url: string;
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};
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}
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const ALLOWED_PATH = new Set(["invoke", "converse"]);
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const ALLOWED_PATH = new Set(["converse"]);
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export async function handle(
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req: NextRequest,
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@@ -57,29 +49,10 @@ export async function handle(
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}
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try {
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if (subpath === "converse") {
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const response = await handleConverseRequest(req);
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return response;
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} else {
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const response = await handleInvokeRequest(req);
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return response;
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}
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const response = await handleConverseRequest(req);
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return response;
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} catch (e) {
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console.error("[Bedrock] ", e);
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// Handle specific error cases
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if (e instanceof ValidationException) {
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return NextResponse.json(
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{
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error: true,
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message:
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"Model validation error. If using a Llama model, please provide a valid inference profile ARN.",
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details: e.message,
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},
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{ status: 400 },
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);
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}
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return NextResponse.json(
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{
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error: true,
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@@ -92,9 +65,7 @@ export async function handle(
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}
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async function handleConverseRequest(req: NextRequest) {
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const controller = new AbortController();
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const region = req.headers.get("X-Region") || "us-east-1";
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const region = req.headers.get("X-Region") || "us-west-2";
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const accessKeyId = req.headers.get("X-Access-Key") || "";
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const secretAccessKey = req.headers.get("X-Secret-Key") || "";
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const sessionToken = req.headers.get("X-Session-Token");
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@@ -111,8 +82,6 @@ async function handleConverseRequest(req: NextRequest) {
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);
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}
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console.log("[Bedrock] Using region:", region);
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const client = new BedrockRuntimeClient({
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region,
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credentials: {
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@@ -122,167 +91,171 @@ async function handleConverseRequest(req: NextRequest) {
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},
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});
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const timeoutId = setTimeout(
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() => {
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controller.abort();
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},
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10 * 60 * 1000,
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);
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try {
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const body = (await req.json()) as ConverseRequest;
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const { modelId } = body;
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// Validate model ID
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const validationError = validateModelId(modelId);
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if (validationError) {
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throw new ValidationException({
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message: validationError,
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$metadata: {},
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});
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throw new Error(validationError);
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}
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console.log("[Bedrock] Invoking model:", modelId);
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console.log("[Bedrock] Messages:", body.messages);
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const requestBody = formatRequestBody(body);
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const jsonString = JSON.stringify(requestBody);
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const input = {
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modelId,
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contentType: "application/json",
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accept: "application/json",
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body: Uint8Array.from(Buffer.from(jsonString)),
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};
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console.log("[Bedrock] Request input:", {
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...input,
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body: requestBody,
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});
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const command = new InvokeModelCommand(input);
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const command = createConverseStreamCommand(body);
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const response = await client.send(command);
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console.log("[Bedrock] Got response");
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// Parse and format the response based on model type
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const responseBody = new TextDecoder().decode(response.body);
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const formattedResponse = parseModelResponse(responseBody, modelId);
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return NextResponse.json(formattedResponse);
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} catch (e) {
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console.error("[Bedrock] Request error:", e);
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throw e; // Let the main error handler deal with it
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} finally {
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clearTimeout(timeoutId);
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}
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}
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async function handleInvokeRequest(req: NextRequest) {
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const controller = new AbortController();
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const region = req.headers.get("X-Region") || "us-east-1";
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const accessKeyId = req.headers.get("X-Access-Key") || "";
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const secretAccessKey = req.headers.get("X-Secret-Key") || "";
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const sessionToken = req.headers.get("X-Session-Token");
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if (!accessKeyId || !secretAccessKey) {
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return NextResponse.json(
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{
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error: true,
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message: "Missing AWS credentials",
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},
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{
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status: 401,
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},
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);
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}
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const client = new BedrockRuntimeClient({
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region,
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credentials: {
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accessKeyId,
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secretAccessKey,
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sessionToken: sessionToken || undefined,
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},
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});
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const timeoutId = setTimeout(
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() => {
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controller.abort();
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},
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10 * 60 * 1000,
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);
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try {
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const body = await req.json();
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const { messages, model } = body;
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// Validate model ID
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const validationError = validateModelId(model);
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if (validationError) {
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throw new ValidationException({
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message: validationError,
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$metadata: {},
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});
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if (!response.stream) {
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throw new Error("No stream in response");
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}
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console.log("[Bedrock] Invoking model:", model);
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console.log("[Bedrock] Messages:", messages);
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// Create a ReadableStream for the response
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const stream = new ReadableStream({
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async start(controller) {
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try {
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const responseStream = response.stream;
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if (!responseStream) {
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throw new Error("No stream in response");
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}
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const requestBody = formatRequestBody({
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modelId: model,
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messages,
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inferenceConfig: {
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maxTokens: 2048,
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temperature: 0.7,
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topP: 0.9,
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for await (const event of responseStream) {
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const output = event as ConverseStreamOutput;
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if ("messageStart" in output && output.messageStart?.role) {
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controller.enqueue(
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`data: ${JSON.stringify({
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type: "messageStart",
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role: output.messageStart.role,
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})}\n\n`,
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);
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} else if (
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"contentBlockStart" in output &&
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output.contentBlockStart
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) {
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controller.enqueue(
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`data: ${JSON.stringify({
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type: "contentBlockStart",
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index: output.contentBlockStart.contentBlockIndex,
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start: output.contentBlockStart.start,
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})}\n\n`,
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);
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} else if (
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"contentBlockDelta" in output &&
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output.contentBlockDelta?.delta
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) {
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if ("text" in output.contentBlockDelta.delta) {
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controller.enqueue(
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`data: ${JSON.stringify({
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type: "text",
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content: output.contentBlockDelta.delta.text,
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})}\n\n`,
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);
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} else if ("toolUse" in output.contentBlockDelta.delta) {
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controller.enqueue(
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`data: ${JSON.stringify({
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type: "toolUse",
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input: output.contentBlockDelta.delta.toolUse?.input,
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})}\n\n`,
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);
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}
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} else if (
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"contentBlockStop" in output &&
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output.contentBlockStop
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) {
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controller.enqueue(
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`data: ${JSON.stringify({
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type: "contentBlockStop",
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index: output.contentBlockStop.contentBlockIndex,
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})}\n\n`,
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);
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} else if ("messageStop" in output && output.messageStop) {
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controller.enqueue(
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`data: ${JSON.stringify({
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type: "messageStop",
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stopReason: output.messageStop.stopReason,
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additionalModelResponseFields:
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output.messageStop.additionalModelResponseFields,
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})}\n\n`,
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);
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} else if ("metadata" in output && output.metadata) {
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controller.enqueue(
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`data: ${JSON.stringify({
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type: "metadata",
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usage: output.metadata.usage,
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metrics: output.metadata.metrics,
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trace: output.metadata.trace,
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})}\n\n`,
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);
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}
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}
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controller.close();
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} catch (error) {
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if (error instanceof ValidationException) {
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controller.enqueue(
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`data: ${JSON.stringify({
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type: "error",
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error: "ValidationException",
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message: error.message,
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})}\n\n`,
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);
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} else if (error instanceof ModelStreamErrorException) {
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controller.enqueue(
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`data: ${JSON.stringify({
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type: "error",
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error: "ModelStreamErrorException",
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message: error.message,
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originalStatusCode: error.originalStatusCode,
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originalMessage: error.originalMessage,
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})}\n\n`,
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);
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} else if (error instanceof ThrottlingException) {
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controller.enqueue(
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`data: ${JSON.stringify({
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type: "error",
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error: "ThrottlingException",
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message: error.message,
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})}\n\n`,
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);
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} else if (error instanceof ServiceUnavailableException) {
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controller.enqueue(
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`data: ${JSON.stringify({
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type: "error",
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error: "ServiceUnavailableException",
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message: error.message,
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})}\n\n`,
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);
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} else if (error instanceof InternalServerException) {
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controller.enqueue(
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`data: ${JSON.stringify({
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type: "error",
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error: "InternalServerException",
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message: error.message,
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})}\n\n`,
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);
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} else {
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controller.enqueue(
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`data: ${JSON.stringify({
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type: "error",
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error: "UnknownError",
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message:
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error instanceof Error ? error.message : "Unknown error",
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})}\n\n`,
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);
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}
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controller.close();
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}
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},
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});
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const jsonString = JSON.stringify(requestBody);
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const input = {
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modelId: model,
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contentType: "application/json",
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accept: "application/json",
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body: Uint8Array.from(Buffer.from(jsonString)),
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};
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console.log("[Bedrock] Request input:", {
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...input,
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body: requestBody,
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});
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const command = new InvokeModelCommand(input);
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const response = await client.send(command);
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console.log("[Bedrock] Got response");
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// Parse and format the response
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const responseBody = new TextDecoder().decode(response.body);
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const formattedResponse = parseModelResponse(responseBody, model);
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// Extract text content from the response
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let textContent = "";
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if (formattedResponse.content && Array.isArray(formattedResponse.content)) {
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textContent = formattedResponse.content
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.filter((item: ContentItem) => item.type === "text")
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.map((item: ContentItem) => item.text || "")
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.join("");
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} else if (typeof formattedResponse.content === "string") {
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textContent = formattedResponse.content;
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}
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// Return plain text response
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return new NextResponse(textContent, {
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return new Response(stream, {
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headers: {
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"Content-Type": "text/plain",
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"Content-Type": "text/event-stream",
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"Cache-Control": "no-cache",
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Connection: "keep-alive",
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},
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});
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} catch (e) {
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console.error("[Bedrock] Request error:", e);
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throw e;
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} finally {
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clearTimeout(timeoutId);
|
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} catch (error) {
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console.error("[Bedrock] Request error:", error);
|
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throw error;
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}
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}
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|
@@ -1,280 +1,405 @@
|
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import {
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Message,
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validateMessageOrder,
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processDocumentContent,
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BedrockTextBlock,
|
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BedrockImageBlock,
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BedrockDocumentBlock,
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} from "./utils";
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ConverseStreamCommand,
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type ConverseStreamCommandInput,
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type Message,
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type ContentBlock,
|
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type SystemContentBlock,
|
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type Tool,
|
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type ToolChoice,
|
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type ToolResultContentBlock,
|
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} from "@aws-sdk/client-bedrock-runtime";
|
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|
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export interface ConverseRequest {
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modelId: string;
|
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messages: Message[];
|
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messages: {
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role: "user" | "assistant" | "system";
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content: string | ContentItem[];
|
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}[];
|
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inferenceConfig?: {
|
||||
maxTokens?: number;
|
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temperature?: number;
|
||||
topP?: number;
|
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stopSequences?: string[];
|
||||
};
|
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toolConfig?: {
|
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tools: Tool[];
|
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toolChoice?: ToolChoice;
|
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};
|
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system?: string;
|
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tools?: Array<{
|
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type: "function";
|
||||
function: {
|
||||
name: string;
|
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description: string;
|
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parameters: {
|
||||
type: string;
|
||||
properties: Record<string, any>;
|
||||
required: string[];
|
||||
};
|
||||
};
|
||||
}>;
|
||||
}
|
||||
|
||||
interface ContentItem {
|
||||
type: string;
|
||||
type: "text" | "image_url" | "document" | "tool_use" | "tool_result";
|
||||
text?: string;
|
||||
image_url?: {
|
||||
url: string;
|
||||
url: string; // base64 data URL
|
||||
};
|
||||
document?: {
|
||||
format: string;
|
||||
format:
|
||||
| "pdf"
|
||||
| "csv"
|
||||
| "doc"
|
||||
| "docx"
|
||||
| "xls"
|
||||
| "xlsx"
|
||||
| "html"
|
||||
| "txt"
|
||||
| "md";
|
||||
name: string;
|
||||
source: {
|
||||
bytes: string;
|
||||
bytes: string; // base64
|
||||
};
|
||||
};
|
||||
tool_use?: {
|
||||
tool_use_id: string;
|
||||
name: string;
|
||||
input: any;
|
||||
};
|
||||
tool_result?: {
|
||||
tool_use_id: string;
|
||||
content: ToolResultItem[];
|
||||
status: "success" | "error";
|
||||
};
|
||||
}
|
||||
|
||||
type ProcessedContent =
|
||||
| ContentItem
|
||||
| BedrockTextBlock
|
||||
| BedrockImageBlock
|
||||
| BedrockDocumentBlock
|
||||
| {
|
||||
type: string;
|
||||
source: { type: string; media_type: string; data: string };
|
||||
interface ToolResultItem {
|
||||
type: "text" | "image" | "document" | "json";
|
||||
text?: string;
|
||||
image?: {
|
||||
format: "png" | "jpeg" | "gif" | "webp";
|
||||
source: {
|
||||
bytes: string; // base64
|
||||
};
|
||||
|
||||
// Helper function to format request body based on model type
|
||||
export function formatRequestBody(request: ConverseRequest) {
|
||||
const baseModel = request.modelId;
|
||||
const messages = validateMessageOrder(request.messages).map((msg) => ({
|
||||
role: msg.role,
|
||||
content: Array.isArray(msg.content)
|
||||
? msg.content.map((item: ContentItem) => {
|
||||
if (item.type === "image_url" && item.image_url?.url) {
|
||||
// If it's a base64 image URL
|
||||
const base64Match = item.image_url.url.match(
|
||||
/^data:image\/([a-zA-Z]*);base64,([^"]*)$/,
|
||||
);
|
||||
if (base64Match) {
|
||||
return {
|
||||
type: "image",
|
||||
source: {
|
||||
type: "base64",
|
||||
media_type: `image/${base64Match[1]}`,
|
||||
data: base64Match[2],
|
||||
},
|
||||
};
|
||||
}
|
||||
// If it's not a base64 URL, return as is
|
||||
return item;
|
||||
}
|
||||
if ("document" in item) {
|
||||
try {
|
||||
return processDocumentContent(item);
|
||||
} catch (error) {
|
||||
console.error("Error processing document:", error);
|
||||
return {
|
||||
type: "text",
|
||||
text: `[Document: ${item.document?.name || "Unknown"}]`,
|
||||
};
|
||||
}
|
||||
}
|
||||
return { type: "text", text: item.text };
|
||||
})
|
||||
: [{ type: "text", text: msg.content }],
|
||||
}));
|
||||
|
||||
const systemPrompt = request.system
|
||||
? [{ type: "text", text: request.system }]
|
||||
: undefined;
|
||||
|
||||
const baseConfig = {
|
||||
max_tokens: request.inferenceConfig?.maxTokens || 2048,
|
||||
temperature: request.inferenceConfig?.temperature || 0.7,
|
||||
top_p: request.inferenceConfig?.topP || 0.9,
|
||||
};
|
||||
document?: {
|
||||
format:
|
||||
| "pdf"
|
||||
| "csv"
|
||||
| "doc"
|
||||
| "docx"
|
||||
| "xls"
|
||||
| "xlsx"
|
||||
| "html"
|
||||
| "txt"
|
||||
| "md";
|
||||
name: string;
|
||||
source: {
|
||||
bytes: string; // base64
|
||||
};
|
||||
};
|
||||
json?: any;
|
||||
}
|
||||
|
||||
if (baseModel.startsWith("anthropic.claude")) {
|
||||
return {
|
||||
messages,
|
||||
system: systemPrompt,
|
||||
anthropic_version: "bedrock-2023-05-31",
|
||||
...baseConfig,
|
||||
...(request.tools && { tools: request.tools }),
|
||||
};
|
||||
} else if (
|
||||
baseModel.startsWith("meta.llama") ||
|
||||
baseModel.startsWith("mistral.")
|
||||
) {
|
||||
return {
|
||||
messages: messages.map((m) => ({
|
||||
role: m.role,
|
||||
content: Array.isArray(m.content)
|
||||
? m.content.map((c: ProcessedContent) => {
|
||||
if ("text" in c) return { type: "text", text: c.text || "" };
|
||||
if ("image_url" in c)
|
||||
return {
|
||||
type: "text",
|
||||
text: `[Image: ${c.image_url?.url || "URL not provided"}]`,
|
||||
};
|
||||
if ("document" in c)
|
||||
return {
|
||||
type: "text",
|
||||
text: `[Document: ${c.document?.name || "Unknown"}]`,
|
||||
};
|
||||
return { type: "text", text: "" };
|
||||
})
|
||||
: [{ type: "text", text: m.content }],
|
||||
})),
|
||||
...baseConfig,
|
||||
stop_sequences: ["\n\nHuman:", "\n\nAssistant:"],
|
||||
};
|
||||
} else if (baseModel.startsWith("amazon.titan")) {
|
||||
const formattedText = messages.map((m) => ({
|
||||
role: m.role,
|
||||
content: [
|
||||
{
|
||||
type: "text",
|
||||
text: `${m.role === "user" ? "Human" : "Assistant"}: ${
|
||||
Array.isArray(m.content)
|
||||
? m.content
|
||||
.map((c: ProcessedContent) => {
|
||||
if ("text" in c) return c.text || "";
|
||||
if ("image_url" in c)
|
||||
return `[Image: ${
|
||||
c.image_url?.url || "URL not provided"
|
||||
}]`;
|
||||
if ("document" in c)
|
||||
return `[Document: ${c.document?.name || "Unknown"}]`;
|
||||
return "";
|
||||
})
|
||||
.join("")
|
||||
: m.content
|
||||
}`,
|
||||
},
|
||||
],
|
||||
}));
|
||||
|
||||
return {
|
||||
messages: formattedText,
|
||||
textGenerationConfig: {
|
||||
maxTokenCount: baseConfig.max_tokens,
|
||||
temperature: baseConfig.temperature,
|
||||
topP: baseConfig.top_p,
|
||||
stopSequences: ["Human:", "Assistant:"],
|
||||
},
|
||||
};
|
||||
function convertContentToAWSBlock(item: ContentItem): ContentBlock | null {
|
||||
if (item.type === "text" && item.text) {
|
||||
return { text: item.text };
|
||||
}
|
||||
|
||||
throw new Error(`Unsupported model: ${baseModel}`);
|
||||
}
|
||||
|
||||
// Helper function to parse and format response based on model type
|
||||
export function parseModelResponse(responseBody: string, modelId: string): any {
|
||||
const baseModel = modelId;
|
||||
|
||||
try {
|
||||
const response = JSON.parse(responseBody);
|
||||
|
||||
// Common response format for all models
|
||||
const formatResponse = (content: string | any[]) => ({
|
||||
role: "assistant",
|
||||
content: Array.isArray(content)
|
||||
? content.map((item) => {
|
||||
if (typeof item === "string") {
|
||||
return { type: "text", text: item };
|
||||
}
|
||||
// Handle different content types
|
||||
if ("text" in item) {
|
||||
return { type: "text", text: item.text || "" };
|
||||
}
|
||||
if ("image" in item) {
|
||||
return {
|
||||
type: "image_url",
|
||||
image_url: {
|
||||
url: `data:image/${
|
||||
item.source?.media_type || "image/png"
|
||||
};base64,${item.source?.data || ""}`,
|
||||
},
|
||||
};
|
||||
}
|
||||
// Document responses are converted to text
|
||||
if ("document" in item) {
|
||||
return {
|
||||
type: "text",
|
||||
text: `[Document Content]\n${item.text || ""}`,
|
||||
};
|
||||
}
|
||||
return { type: "text", text: item.text || "" };
|
||||
})
|
||||
: [{ type: "text", text: content }],
|
||||
stop_reason: response.stop_reason || response.stopReason || "end_turn",
|
||||
usage: response.usage || {
|
||||
input_tokens: 0,
|
||||
output_tokens: 0,
|
||||
total_tokens: 0,
|
||||
},
|
||||
});
|
||||
|
||||
if (baseModel.startsWith("anthropic.claude")) {
|
||||
// Handle the new Converse API response format
|
||||
if (response.output?.message) {
|
||||
if (item.type === "image_url" && item.image_url?.url) {
|
||||
const base64Match = item.image_url.url.match(
|
||||
/^data:image\/([a-zA-Z]*);base64,([^"]*)/,
|
||||
);
|
||||
if (base64Match) {
|
||||
const format = base64Match[1].toLowerCase();
|
||||
if (
|
||||
format === "png" ||
|
||||
format === "jpeg" ||
|
||||
format === "gif" ||
|
||||
format === "webp"
|
||||
) {
|
||||
const base64Data = base64Match[2];
|
||||
return {
|
||||
role: response.output.message.role,
|
||||
content: response.output.message.content.map((item: any) => {
|
||||
if ("text" in item) return { type: "text", text: item.text || "" };
|
||||
if ("image" in item) {
|
||||
return {
|
||||
type: "image_url",
|
||||
image_url: {
|
||||
url: `data:${item.source?.media_type || "image/png"};base64,${
|
||||
item.source?.data || ""
|
||||
}`,
|
||||
},
|
||||
};
|
||||
}
|
||||
return { type: "text", text: item.text || "" };
|
||||
}),
|
||||
stop_reason: response.stopReason,
|
||||
usage: response.usage,
|
||||
image: {
|
||||
format: format as "png" | "jpeg" | "gif" | "webp",
|
||||
source: {
|
||||
bytes: Uint8Array.from(Buffer.from(base64Data, "base64")),
|
||||
},
|
||||
},
|
||||
};
|
||||
}
|
||||
// Fallback for older format
|
||||
return formatResponse(
|
||||
response.content ||
|
||||
(response.completion
|
||||
? [{ type: "text", text: response.completion }]
|
||||
: []),
|
||||
);
|
||||
} else if (baseModel.startsWith("meta.llama")) {
|
||||
return formatResponse(response.generation || response.completion || "");
|
||||
} else if (baseModel.startsWith("amazon.titan")) {
|
||||
return formatResponse(response.results?.[0]?.outputText || "");
|
||||
} else if (baseModel.startsWith("mistral.")) {
|
||||
return formatResponse(
|
||||
response.outputs?.[0]?.text || response.response || "",
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
throw new Error(`Unsupported model: ${baseModel}`);
|
||||
} catch (e) {
|
||||
console.error("[Bedrock] Failed to parse response:", e);
|
||||
// Return raw text as fallback
|
||||
if (item.type === "document" && item.document) {
|
||||
return {
|
||||
role: "assistant",
|
||||
content: [{ type: "text", text: responseBody }],
|
||||
document: {
|
||||
format: item.document.format,
|
||||
name: item.document.name,
|
||||
source: {
|
||||
bytes: Uint8Array.from(
|
||||
Buffer.from(item.document.source.bytes, "base64"),
|
||||
),
|
||||
},
|
||||
},
|
||||
};
|
||||
}
|
||||
|
||||
if (item.type === "tool_use" && item.tool_use) {
|
||||
return {
|
||||
toolUse: {
|
||||
toolUseId: item.tool_use.tool_use_id,
|
||||
name: item.tool_use.name,
|
||||
input: item.tool_use.input,
|
||||
},
|
||||
};
|
||||
}
|
||||
|
||||
if (item.type === "tool_result" && item.tool_result) {
|
||||
const toolResultContent = item.tool_result.content
|
||||
.map((resultItem) => {
|
||||
if (resultItem.type === "text" && resultItem.text) {
|
||||
return { text: resultItem.text } as ToolResultContentBlock;
|
||||
}
|
||||
if (resultItem.type === "image" && resultItem.image) {
|
||||
return {
|
||||
image: {
|
||||
format: resultItem.image.format,
|
||||
source: {
|
||||
bytes: Uint8Array.from(
|
||||
Buffer.from(resultItem.image.source.bytes, "base64"),
|
||||
),
|
||||
},
|
||||
},
|
||||
} as ToolResultContentBlock;
|
||||
}
|
||||
if (resultItem.type === "document" && resultItem.document) {
|
||||
return {
|
||||
document: {
|
||||
format: resultItem.document.format,
|
||||
name: resultItem.document.name,
|
||||
source: {
|
||||
bytes: Uint8Array.from(
|
||||
Buffer.from(resultItem.document.source.bytes, "base64"),
|
||||
),
|
||||
},
|
||||
},
|
||||
} as ToolResultContentBlock;
|
||||
}
|
||||
if (resultItem.type === "json" && resultItem.json) {
|
||||
return { json: resultItem.json } as ToolResultContentBlock;
|
||||
}
|
||||
return null;
|
||||
})
|
||||
.filter((content): content is ToolResultContentBlock => content !== null);
|
||||
|
||||
if (toolResultContent.length === 0) {
|
||||
return null;
|
||||
}
|
||||
|
||||
return {
|
||||
toolResult: {
|
||||
toolUseId: item.tool_result.tool_use_id,
|
||||
content: toolResultContent,
|
||||
status: item.tool_result.status,
|
||||
},
|
||||
};
|
||||
}
|
||||
|
||||
return null;
|
||||
}
|
||||
|
||||
function convertContentToAWS(content: string | ContentItem[]): ContentBlock[] {
|
||||
if (typeof content === "string") {
|
||||
return [{ text: content }];
|
||||
}
|
||||
|
||||
// Filter out null blocks and ensure each content block is valid
|
||||
const blocks = content
|
||||
.map(convertContentToAWSBlock)
|
||||
.filter((block): block is ContentBlock => block !== null);
|
||||
|
||||
// If no valid blocks, provide a default text block
|
||||
if (blocks.length === 0) {
|
||||
return [{ text: "" }];
|
||||
}
|
||||
|
||||
return blocks;
|
||||
}
|
||||
|
||||
function formatMessages(messages: ConverseRequest["messages"]): {
|
||||
messages: Message[];
|
||||
systemPrompt?: SystemContentBlock[];
|
||||
} {
|
||||
// Extract system messages
|
||||
const systemMessages = messages.filter((msg) => msg.role === "system");
|
||||
const nonSystemMessages = messages.filter((msg) => msg.role !== "system");
|
||||
|
||||
// Convert system messages to SystemContentBlock array
|
||||
const systemPrompt =
|
||||
systemMessages.length > 0
|
||||
? systemMessages.map((msg) => {
|
||||
if (typeof msg.content === "string") {
|
||||
return { text: msg.content } as SystemContentBlock;
|
||||
}
|
||||
// For multimodal content, convert each content item
|
||||
const blocks = convertContentToAWS(msg.content);
|
||||
return blocks[0] as SystemContentBlock; // Take first block as system content
|
||||
})
|
||||
: undefined;
|
||||
|
||||
// Format remaining messages
|
||||
const formattedMessages = nonSystemMessages.reduce(
|
||||
(acc: Message[], curr, idx) => {
|
||||
// Skip if same role as previous message
|
||||
if (idx > 0 && curr.role === nonSystemMessages[idx - 1].role) {
|
||||
return acc;
|
||||
}
|
||||
|
||||
const content = convertContentToAWS(curr.content);
|
||||
if (content.length > 0) {
|
||||
acc.push({
|
||||
role: curr.role as "user" | "assistant",
|
||||
content,
|
||||
});
|
||||
}
|
||||
return acc;
|
||||
},
|
||||
[],
|
||||
);
|
||||
|
||||
// Ensure conversation starts with user
|
||||
if (formattedMessages.length === 0 || formattedMessages[0].role !== "user") {
|
||||
formattedMessages.unshift({
|
||||
role: "user",
|
||||
content: [{ text: "Hello" }],
|
||||
});
|
||||
}
|
||||
|
||||
// Ensure conversation ends with user
|
||||
if (formattedMessages[formattedMessages.length - 1].role !== "user") {
|
||||
formattedMessages.push({
|
||||
role: "user",
|
||||
content: [{ text: "Continue" }],
|
||||
});
|
||||
}
|
||||
|
||||
return { messages: formattedMessages, systemPrompt };
|
||||
}
|
||||
|
||||
export function formatRequestBody(
|
||||
request: ConverseRequest,
|
||||
): ConverseStreamCommandInput {
|
||||
const { messages, systemPrompt } = formatMessages(request.messages);
|
||||
const input: ConverseStreamCommandInput = {
|
||||
modelId: request.modelId,
|
||||
messages,
|
||||
...(systemPrompt && { system: systemPrompt }),
|
||||
};
|
||||
|
||||
if (request.inferenceConfig) {
|
||||
input.inferenceConfig = {
|
||||
maxTokens: request.inferenceConfig.maxTokens,
|
||||
temperature: request.inferenceConfig.temperature,
|
||||
topP: request.inferenceConfig.topP,
|
||||
stopSequences: request.inferenceConfig.stopSequences,
|
||||
};
|
||||
}
|
||||
|
||||
if (request.toolConfig) {
|
||||
input.toolConfig = {
|
||||
tools: request.toolConfig.tools,
|
||||
toolChoice: request.toolConfig.toolChoice,
|
||||
};
|
||||
}
|
||||
|
||||
// Create a clean version of the input for logging
|
||||
const logInput = {
|
||||
...input,
|
||||
messages: messages.map((msg) => ({
|
||||
role: msg.role,
|
||||
content: msg.content?.map((content) => {
|
||||
if ("image" in content && content.image) {
|
||||
return {
|
||||
image: {
|
||||
format: content.image.format,
|
||||
source: { bytes: "[BINARY]" },
|
||||
},
|
||||
};
|
||||
}
|
||||
if ("document" in content && content.document) {
|
||||
return {
|
||||
document: { ...content.document, source: { bytes: "[BINARY]" } },
|
||||
};
|
||||
}
|
||||
return content;
|
||||
}),
|
||||
})),
|
||||
};
|
||||
|
||||
console.log(
|
||||
"[Bedrock] Formatted request:",
|
||||
JSON.stringify(logInput, null, 2),
|
||||
);
|
||||
return input;
|
||||
}
|
||||
|
||||
export function createConverseStreamCommand(request: ConverseRequest) {
|
||||
const input = formatRequestBody(request);
|
||||
return new ConverseStreamCommand(input);
|
||||
}
|
||||
|
||||
export interface StreamResponse {
|
||||
type:
|
||||
| "messageStart"
|
||||
| "contentBlockStart"
|
||||
| "contentBlockDelta"
|
||||
| "contentBlockStop"
|
||||
| "messageStop"
|
||||
| "metadata"
|
||||
| "error";
|
||||
role?: string;
|
||||
index?: number;
|
||||
start?: any;
|
||||
delta?: any;
|
||||
stopReason?: string;
|
||||
additionalModelResponseFields?: any;
|
||||
usage?: any;
|
||||
metrics?: any;
|
||||
trace?: any;
|
||||
error?: string;
|
||||
message?: string;
|
||||
originalStatusCode?: number;
|
||||
originalMessage?: string;
|
||||
}
|
||||
|
||||
export function parseStreamResponse(chunk: any): StreamResponse | null {
|
||||
if (chunk.messageStart) {
|
||||
return { type: "messageStart", role: chunk.messageStart.role };
|
||||
}
|
||||
if (chunk.contentBlockStart) {
|
||||
return {
|
||||
type: "contentBlockStart",
|
||||
index: chunk.contentBlockStart.contentBlockIndex,
|
||||
start: chunk.contentBlockStart.start,
|
||||
};
|
||||
}
|
||||
if (chunk.contentBlockDelta) {
|
||||
return {
|
||||
type: "contentBlockDelta",
|
||||
index: chunk.contentBlockDelta.contentBlockIndex,
|
||||
delta: chunk.contentBlockDelta.delta,
|
||||
};
|
||||
}
|
||||
if (chunk.contentBlockStop) {
|
||||
return {
|
||||
type: "contentBlockStop",
|
||||
index: chunk.contentBlockStop.contentBlockIndex,
|
||||
};
|
||||
}
|
||||
if (chunk.messageStop) {
|
||||
return {
|
||||
type: "messageStop",
|
||||
stopReason: chunk.messageStop.stopReason,
|
||||
additionalModelResponseFields:
|
||||
chunk.messageStop.additionalModelResponseFields,
|
||||
};
|
||||
}
|
||||
if (chunk.metadata) {
|
||||
return {
|
||||
type: "metadata",
|
||||
usage: chunk.metadata.usage,
|
||||
metrics: chunk.metadata.metrics,
|
||||
trace: chunk.metadata.trace,
|
||||
};
|
||||
}
|
||||
return null;
|
||||
}
|
||||
|
@@ -11,43 +11,149 @@ export interface ImageSource {
|
||||
|
||||
export interface DocumentSource {
|
||||
bytes: string; // base64 encoded document bytes
|
||||
media_type?: string; // MIME type of the document
|
||||
}
|
||||
|
||||
export type DocumentFormat =
|
||||
| "pdf"
|
||||
| "csv"
|
||||
| "doc"
|
||||
| "docx"
|
||||
| "xls"
|
||||
| "xlsx"
|
||||
| "html"
|
||||
| "txt"
|
||||
| "md";
|
||||
export type ImageFormat = "png" | "jpeg" | "gif" | "webp";
|
||||
|
||||
export interface BedrockImageBlock {
|
||||
type: "image";
|
||||
image: {
|
||||
format: "png" | "jpeg" | "gif" | "webp";
|
||||
source: ImageSource;
|
||||
format: ImageFormat;
|
||||
source: {
|
||||
bytes: string;
|
||||
};
|
||||
};
|
||||
}
|
||||
|
||||
export interface BedrockDocumentBlock {
|
||||
type: "document";
|
||||
document: {
|
||||
format:
|
||||
| "pdf"
|
||||
| "csv"
|
||||
| "doc"
|
||||
| "docx"
|
||||
| "xls"
|
||||
| "xlsx"
|
||||
| "html"
|
||||
| "txt"
|
||||
| "md";
|
||||
format: string;
|
||||
name: string;
|
||||
source: DocumentSource;
|
||||
source: {
|
||||
bytes: string;
|
||||
media_type?: string;
|
||||
};
|
||||
};
|
||||
}
|
||||
|
||||
export interface BedrockTextBlock {
|
||||
type: "text";
|
||||
text: string;
|
||||
}
|
||||
|
||||
export type BedrockContentBlock =
|
||||
export interface BedrockToolCallBlock {
|
||||
type: "tool_calls";
|
||||
tool_calls: BedrockToolCall[];
|
||||
}
|
||||
|
||||
export interface BedrockToolResultBlock {
|
||||
type: "tool_result";
|
||||
tool_result: BedrockToolResult;
|
||||
}
|
||||
|
||||
export type BedrockContent =
|
||||
| BedrockTextBlock
|
||||
| BedrockImageBlock
|
||||
| BedrockDocumentBlock;
|
||||
| BedrockDocumentBlock
|
||||
| BedrockToolCallBlock
|
||||
| BedrockToolResultBlock;
|
||||
|
||||
export interface BedrockToolSpec {
|
||||
type: string;
|
||||
function: {
|
||||
name: string;
|
||||
description: string;
|
||||
parameters: Record<string, any>;
|
||||
};
|
||||
}
|
||||
|
||||
export interface BedrockToolCall {
|
||||
type: string;
|
||||
function: {
|
||||
name: string;
|
||||
arguments: string;
|
||||
};
|
||||
}
|
||||
|
||||
export interface BedrockToolResult {
|
||||
type: string;
|
||||
output: string;
|
||||
}
|
||||
|
||||
export interface ContentItem {
|
||||
type: string;
|
||||
text?: string;
|
||||
image_url?: {
|
||||
url: string;
|
||||
};
|
||||
document?: {
|
||||
format: string;
|
||||
name: string;
|
||||
source: {
|
||||
bytes: string;
|
||||
media_type?: string;
|
||||
};
|
||||
};
|
||||
tool_calls?: BedrockToolCall[];
|
||||
tool_result?: BedrockToolResult;
|
||||
}
|
||||
|
||||
export interface StreamEvent {
|
||||
messageStart?: { role: string };
|
||||
contentBlockStart?: { index: number };
|
||||
contentBlockDelta?: {
|
||||
delta: {
|
||||
type?: string;
|
||||
text?: string;
|
||||
tool_calls?: BedrockToolCall[];
|
||||
tool_result?: BedrockToolResult;
|
||||
};
|
||||
contentBlockIndex: number;
|
||||
};
|
||||
contentBlockStop?: { index: number };
|
||||
messageStop?: { stopReason: string };
|
||||
metadata?: {
|
||||
usage: {
|
||||
inputTokens: number;
|
||||
outputTokens: number;
|
||||
totalTokens: number;
|
||||
};
|
||||
metrics: {
|
||||
latencyMs: number;
|
||||
};
|
||||
};
|
||||
}
|
||||
|
||||
export interface ConverseRequest {
|
||||
modelId: string;
|
||||
messages: Message[];
|
||||
inferenceConfig?: {
|
||||
maxTokens?: number;
|
||||
temperature?: number;
|
||||
topP?: number;
|
||||
stopSequences?: string[];
|
||||
stream?: boolean;
|
||||
};
|
||||
system?: { text: string }[];
|
||||
tools?: BedrockToolSpec[];
|
||||
additionalModelRequestFields?: Record<string, any>;
|
||||
additionalModelResponseFieldPaths?: string[];
|
||||
}
|
||||
|
||||
export interface BedrockResponse {
|
||||
content?: any[];
|
||||
content: BedrockContent[];
|
||||
completion?: string;
|
||||
stop_reason?: string;
|
||||
usage?: {
|
||||
@@ -55,7 +161,7 @@ export interface BedrockResponse {
|
||||
output_tokens: number;
|
||||
total_tokens: number;
|
||||
};
|
||||
tool_calls?: any[];
|
||||
tool_calls?: BedrockToolCall[];
|
||||
}
|
||||
|
||||
// Helper function to get the base model type from modelId
|
||||
@@ -79,8 +185,59 @@ export function validateModelId(modelId: string): string | null {
|
||||
return null;
|
||||
}
|
||||
|
||||
// Helper function to validate document name
|
||||
export function validateDocumentName(name: string): boolean {
|
||||
const validPattern = /^[a-zA-Z0-9\s\-\(\)\[\]]+$/;
|
||||
const noMultipleSpaces = !/\s{2,}/.test(name);
|
||||
return validPattern.test(name) && noMultipleSpaces;
|
||||
}
|
||||
|
||||
// Helper function to validate document format
|
||||
export function validateDocumentFormat(
|
||||
format: string,
|
||||
): format is DocumentFormat {
|
||||
const validFormats: DocumentFormat[] = [
|
||||
"pdf",
|
||||
"csv",
|
||||
"doc",
|
||||
"docx",
|
||||
"xls",
|
||||
"xlsx",
|
||||
"html",
|
||||
"txt",
|
||||
"md",
|
||||
];
|
||||
return validFormats.includes(format as DocumentFormat);
|
||||
}
|
||||
|
||||
// Helper function to validate image size and dimensions
|
||||
export function validateImageSize(base64Data: string): boolean {
|
||||
// Check size (3.75 MB limit)
|
||||
const sizeInBytes = (base64Data.length * 3) / 4; // Approximate size of decoded base64
|
||||
const maxSize = 3.75 * 1024 * 1024; // 3.75 MB in bytes
|
||||
|
||||
if (sizeInBytes > maxSize) {
|
||||
throw new Error("Image size exceeds 3.75 MB limit");
|
||||
}
|
||||
|
||||
return true;
|
||||
}
|
||||
|
||||
// Helper function to validate document size
|
||||
export function validateDocumentSize(base64Data: string): boolean {
|
||||
// Check size (4.5 MB limit)
|
||||
const sizeInBytes = (base64Data.length * 3) / 4; // Approximate size of decoded base64
|
||||
const maxSize = 4.5 * 1024 * 1024; // 4.5 MB in bytes
|
||||
|
||||
if (sizeInBytes > maxSize) {
|
||||
throw new Error("Document size exceeds 4.5 MB limit");
|
||||
}
|
||||
|
||||
return true;
|
||||
}
|
||||
|
||||
// Helper function to process document content for Bedrock
|
||||
export function processDocumentContent(content: any): BedrockContentBlock {
|
||||
export function processDocumentContent(content: any): BedrockDocumentBlock {
|
||||
if (
|
||||
!content?.document?.format ||
|
||||
!content?.document?.name ||
|
||||
@@ -90,70 +247,90 @@ export function processDocumentContent(content: any): BedrockContentBlock {
|
||||
}
|
||||
|
||||
const format = content.document.format.toLowerCase();
|
||||
if (
|
||||
!["pdf", "csv", "doc", "docx", "xls", "xlsx", "html", "txt", "md"].includes(
|
||||
format,
|
||||
)
|
||||
) {
|
||||
if (!validateDocumentFormat(format)) {
|
||||
throw new Error(`Unsupported document format: ${format}`);
|
||||
}
|
||||
|
||||
if (!validateDocumentName(content.document.name)) {
|
||||
throw new Error(
|
||||
`Invalid document name: ${content.document.name}. Only alphanumeric characters, single spaces, hyphens, parentheses, and square brackets are allowed.`,
|
||||
);
|
||||
}
|
||||
|
||||
// Validate document size
|
||||
if (!validateDocumentSize(content.document.source.bytes)) {
|
||||
throw new Error("Document size validation failed");
|
||||
}
|
||||
|
||||
return {
|
||||
type: "document",
|
||||
document: {
|
||||
format: format as BedrockDocumentBlock["document"]["format"],
|
||||
name: sanitizeDocumentName(content.document.name),
|
||||
format: format,
|
||||
name: content.document.name,
|
||||
source: {
|
||||
bytes: content.document.source.bytes,
|
||||
media_type: content.document.source.media_type,
|
||||
},
|
||||
},
|
||||
};
|
||||
}
|
||||
|
||||
// Helper function to format content for Bedrock
|
||||
export function formatContent(
|
||||
content: string | MultimodalContent[],
|
||||
): BedrockContentBlock[] {
|
||||
if (typeof content === "string") {
|
||||
return [{ text: content }];
|
||||
}
|
||||
|
||||
const formattedContent: BedrockContentBlock[] = [];
|
||||
|
||||
for (const item of content) {
|
||||
if (item.type === "text" && item.text) {
|
||||
formattedContent.push({ text: item.text });
|
||||
} else if (item.type === "image_url" && item.image_url?.url) {
|
||||
// Extract base64 data from data URL
|
||||
const base64Match = item.image_url.url.match(
|
||||
/^data:image\/([a-zA-Z]*);base64,([^"]*)$/,
|
||||
);
|
||||
if (base64Match) {
|
||||
const format = base64Match[1].toLowerCase();
|
||||
if (["png", "jpeg", "gif", "webp"].includes(format)) {
|
||||
formattedContent.push({
|
||||
image: {
|
||||
format: format as "png" | "jpeg" | "gif" | "webp",
|
||||
source: {
|
||||
bytes: base64Match[2],
|
||||
},
|
||||
},
|
||||
});
|
||||
// Helper function to process image content for Bedrock
|
||||
export function processImageContent(content: any): BedrockImageBlock {
|
||||
if (content.type === "image_url" && content.image_url?.url) {
|
||||
const base64Match = content.image_url.url.match(
|
||||
/^data:image\/([a-zA-Z]*);base64,([^"]*)$/,
|
||||
);
|
||||
if (base64Match) {
|
||||
const format = base64Match[1].toLowerCase();
|
||||
if (["png", "jpeg", "gif", "webp"].includes(format)) {
|
||||
// Validate image size
|
||||
if (!validateImageSize(base64Match[2])) {
|
||||
throw new Error("Image size validation failed");
|
||||
}
|
||||
}
|
||||
} else if ("document" in item) {
|
||||
try {
|
||||
formattedContent.push(processDocumentContent(item));
|
||||
} catch (error) {
|
||||
console.error("Error processing document:", error);
|
||||
// Convert document to text as fallback
|
||||
formattedContent.push({
|
||||
text: `[Document: ${(item as any).document?.name || "Unknown"}]`,
|
||||
});
|
||||
|
||||
return {
|
||||
type: "image",
|
||||
image: {
|
||||
format: format as ImageFormat,
|
||||
source: {
|
||||
bytes: base64Match[2],
|
||||
},
|
||||
},
|
||||
};
|
||||
}
|
||||
}
|
||||
}
|
||||
throw new Error("Invalid image content format");
|
||||
}
|
||||
|
||||
return formattedContent;
|
||||
// Helper function to validate message content restrictions
|
||||
export function validateMessageContent(message: Message): void {
|
||||
if (Array.isArray(message.content)) {
|
||||
// Count images and documents in user messages
|
||||
if (message.role === "user") {
|
||||
const imageCount = message.content.filter(
|
||||
(item) => item.type === "image_url",
|
||||
).length;
|
||||
const documentCount = message.content.filter(
|
||||
(item) => item.type === "document",
|
||||
).length;
|
||||
|
||||
if (imageCount > 20) {
|
||||
throw new Error("User messages can include up to 20 images");
|
||||
}
|
||||
|
||||
if (documentCount > 5) {
|
||||
throw new Error("User messages can include up to 5 documents");
|
||||
}
|
||||
} else if (
|
||||
message.role === "assistant" &&
|
||||
(message.content.some((item) => item.type === "image_url") ||
|
||||
message.content.some((item) => item.type === "document"))
|
||||
) {
|
||||
throw new Error("Assistant messages cannot include images or documents");
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Helper function to ensure messages alternate between user and assistant
|
||||
@@ -162,6 +339,9 @@ export function validateMessageOrder(messages: Message[]): Message[] {
|
||||
let lastRole = "";
|
||||
|
||||
for (const message of messages) {
|
||||
// Validate content restrictions for each message
|
||||
validateMessageContent(message);
|
||||
|
||||
if (message.role === lastRole) {
|
||||
// Skip duplicate roles to maintain alternation
|
||||
continue;
|
||||
@@ -173,16 +353,6 @@ export function validateMessageOrder(messages: Message[]): Message[] {
|
||||
return validatedMessages;
|
||||
}
|
||||
|
||||
// Helper function to sanitize document names according to Bedrock requirements
|
||||
function sanitizeDocumentName(name: string): string {
|
||||
// Remove any characters that aren't alphanumeric, whitespace, hyphens, or parentheses
|
||||
let sanitized = name.replace(/[^a-zA-Z0-9\s\-\(\)\[\]]/g, "");
|
||||
// Replace multiple whitespace characters with a single space
|
||||
sanitized = sanitized.replace(/\s+/g, " ");
|
||||
// Trim whitespace from start and end
|
||||
return sanitized.trim();
|
||||
}
|
||||
|
||||
// Helper function to convert Bedrock response back to MultimodalContent format
|
||||
export function convertBedrockResponseToMultimodal(
|
||||
response: BedrockResponse,
|
||||
@@ -196,23 +366,35 @@ export function convertBedrockResponseToMultimodal(
|
||||
}
|
||||
|
||||
return response.content.map((block) => {
|
||||
if ("text" in block) {
|
||||
if (block.type === "text") {
|
||||
return {
|
||||
type: "text",
|
||||
text: block.text,
|
||||
};
|
||||
} else if ("image" in block) {
|
||||
} else if (block.type === "image") {
|
||||
return {
|
||||
type: "image_url",
|
||||
image_url: {
|
||||
url: `data:image/${block.image.format};base64,${block.image.source.bytes}`,
|
||||
},
|
||||
};
|
||||
} else if (block.type === "document") {
|
||||
return {
|
||||
type: "document",
|
||||
document: {
|
||||
format: block.document.format,
|
||||
name: block.document.name,
|
||||
source: {
|
||||
bytes: block.document.source.bytes,
|
||||
media_type: block.document.source.media_type,
|
||||
},
|
||||
},
|
||||
};
|
||||
}
|
||||
// Document responses are converted to text content
|
||||
// Fallback to text content
|
||||
return {
|
||||
type: "text",
|
||||
text: block.text || "",
|
||||
text: "",
|
||||
};
|
||||
});
|
||||
}
|
||||
|
Reference in New Issue
Block a user