更新Bedrock

This commit is contained in:
Ryder.Tsui 2024-06-13 17:31:42 +08:00
parent b6735bffe4
commit f021826220
13 changed files with 454 additions and 11 deletions

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@ -54,10 +54,18 @@ ANTHROPIC_API_KEY=
### anthropic claude Api version. (optional)
ANTHROPIC_API_VERSION=
### anthropic claude Api url (optional)
ANTHROPIC_URL=
# AWS Bedrock API Key.(optional)
AWS_API_KEY=
# AWS Bedrock API url (optional)
AWS_URL=
# AWS Bedrock API version (optional)
AWS_API_VERSION=
### (optional)
WHITE_WEBDEV_ENDPOINTS=

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@ -73,6 +73,9 @@ export function auth(req: NextRequest, modelProvider: ModelProvider) {
case ModelProvider.Claude:
systemApiKey = serverConfig.anthropicApiKey;
break;
case ModelProvider.Bedrock:
systemApiKey = serverConfig.awsApiKey;
break;
case ModelProvider.GPT:
default:
if (serverConfig.isAzure) {

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@ -9,6 +9,7 @@ import { ChatMessage, ModelType, useAccessStore, useChatStore } from "../store";
import { ChatGPTApi } from "./platforms/openai";
import { GeminiProApi } from "./platforms/google";
import { ClaudeApi } from "./platforms/anthropic";
import { BedrockApi } from "./platforms/aws";
export const ROLES = ["system", "user", "assistant"] as const;
export type MessageRole = (typeof ROLES)[number];
@ -70,7 +71,7 @@ export abstract class LLMApi {
abstract models(): Promise<LLMModel[]>;
}
type ProviderName = "openai" | "azure" | "claude" | "palm";
type ProviderName = "aws" | "openai" | "azure" | "claude" | "palm";
interface Model {
name: string;
@ -102,6 +103,9 @@ export class ClientApi {
case ModelProvider.Claude:
this.llm = new ClaudeApi();
break;
case ModelProvider.Bedrock:
this.llm = new BedrockApi();
break;
default:
this.llm = new ChatGPTApi();
}
@ -162,11 +166,15 @@ export function getHeaders() {
const modelConfig = useChatStore.getState().currentSession().mask.modelConfig;
const isGoogle = modelConfig.model.startsWith("gemini");
const isAzure = accessStore.provider === ServiceProvider.Azure;
const isAWS = accessStore.provider === ServiceProvider.AWS;
const authHeader = isAzure ? "api-key" : "Authorization";
const apiKey = isGoogle
? accessStore.googleApiKey
: isAzure
? accessStore.azureApiKey
: isAWS
? accessStore.awsApiKey
: accessStore.openaiApiKey;
const clientConfig = getClientConfig();
const makeBearer = (s: string) => `${isAzure ? "" : "Bearer "}${s.trim()}`;

330
app/client/platforms/aws.ts Normal file
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@ -0,0 +1,330 @@
"use client";
import { DEFAULT_MODELS, AWS, REQUEST_TIMEOUT_MS } from "@/app/constant";
import { useAccessStore, useAppConfig, useChatStore } from "@/app/store";
import {
ChatOptions,
getHeaders,
LLMApi,
LLMModel,
LLMUsage,
MultimodalContent,
} from "../api";
import Locale from "../../locales";
import {
EventStreamContentType,
fetchEventSource,
} from "@fortaine/fetch-event-source";
import { prettyObject } from "@/app/utils/format";
import { getClientConfig } from "@/app/config/client";
import {
getMessageTextContent,
getMessageImages,
isVisionModel,
} from "@/app/utils";
export interface OpenAIListModelResponse {
object: string;
data: Array<{
id: string;
object: string;
root: string;
}>;
}
export class BedrockApi implements LLMApi {
private disableListModels = true;
path(path: string): string {
const accessStore = useAccessStore.getState();
if (!accessStore.awsUrl) {
throw Error("Please set your access url.");
}
let baseUrl = accessStore.awsUrl;
if (baseUrl.endsWith("/")) {
baseUrl = baseUrl.slice(0, baseUrl.length - 1);
}
console.log("[Proxy Endpoint] ", baseUrl, path);
return [baseUrl, path].join("/");
}
extractMessage(res: any) {
return res.choices?.at(0)?.message?.content ?? "";
}
async chat(options: ChatOptions) {
const visionModel = isVisionModel(options.config.model);
const messages = options.messages.map((v) => ({
role: v.role,
content: visionModel ? v.content : getMessageTextContent(v),
}));
const modelConfig = {
...useAppConfig.getState().modelConfig,
...useChatStore.getState().currentSession().mask.modelConfig,
...{
model: options.config.model,
},
};
const requestPayload = {
messages,
stream: options.config.stream,
model: modelConfig.model,
temperature: modelConfig.temperature,
presence_penalty: modelConfig.presence_penalty,
frequency_penalty: modelConfig.frequency_penalty,
top_p: modelConfig.top_p,
max_tokens: modelConfig.max_tokens,
};
// add max_tokens to vision model
if (visionModel) {
Object.defineProperty(requestPayload, "max_tokens", {
enumerable: true,
configurable: true,
writable: true,
value: modelConfig.max_tokens,
});
}
console.log("[Request] aws bedrock payload: ", requestPayload);
const shouldStream = !!options.config.stream;
const controller = new AbortController();
options.onController?.(controller);
try {
const chatPath = this.path(AWS.ChatPath);
const chatPayload = {
method: "POST",
body: JSON.stringify(requestPayload),
signal: controller.signal,
headers: getHeaders(),
};
// make a fetch request
const requestTimeoutId = setTimeout(
() => controller.abort(),
REQUEST_TIMEOUT_MS,
);
if (shouldStream) {
let responseText = "";
let remainText = "";
let finished = false;
// animate response to make it looks smooth
function animateResponseText() {
if (finished || controller.signal.aborted) {
responseText += remainText;
console.log("[Response Animation] finished");
return;
}
if (remainText.length > 0) {
const fetchCount = Math.max(1, Math.round(remainText.length / 60));
const fetchText = remainText.slice(0, fetchCount);
responseText += fetchText;
remainText = remainText.slice(fetchCount);
options.onUpdate?.(responseText, fetchText);
}
requestAnimationFrame(animateResponseText);
}
// start animaion
animateResponseText();
const finish = () => {
if (!finished) {
finished = true;
options.onFinish(responseText + remainText);
}
};
controller.signal.onabort = finish;
fetchEventSource(chatPath, {
...chatPayload,
async onopen(res) {
clearTimeout(requestTimeoutId);
const contentType = res.headers.get("content-type");
console.log("[AWS] request response content type: ", contentType);
if (contentType?.startsWith("text/plain")) {
responseText = await res.clone().text();
return finish();
}
if (
!res.ok ||
!res.headers
.get("content-type")
?.startsWith(EventStreamContentType) ||
res.status !== 200
) {
const responseTexts = [responseText];
let extraInfo = await res.clone().text();
try {
const resJson = await res.clone().json();
extraInfo = prettyObject(resJson);
} catch {}
if (res.status === 401) {
responseTexts.push(Locale.Error.Unauthorized);
}
if (extraInfo) {
responseTexts.push(extraInfo);
}
responseText = responseTexts.join("\n\n");
return finish();
}
},
onmessage(msg) {
if (msg.data === "[DONE]" || finished) {
return finish();
}
const text = msg.data;
try {
const json = JSON.parse(text) as {
choices: Array<{
delta: {
content: string;
};
}>;
};
const delta = json.choices[0]?.delta?.content;
if (delta) {
remainText += delta;
}
} catch (e) {
console.error("[Request] parse error", text);
}
},
onclose() {
finish();
},
onerror(e) {
options.onError?.(e);
throw e;
},
openWhenHidden: true,
});
} else {
const res = await fetch(chatPath, chatPayload);
clearTimeout(requestTimeoutId);
const resJson = await res.json();
const message = this.extractMessage(resJson);
options.onFinish(message);
}
} catch (e) {
console.log("[Request] failed to make a chat request", e);
options.onError?.(e as Error);
}
}
async usage() {
const formatDate = (d: Date) =>
`${d.getFullYear()}-${(d.getMonth() + 1).toString().padStart(2, "0")}-${d
.getDate()
.toString()
.padStart(2, "0")}`;
const ONE_DAY = 1 * 24 * 60 * 60 * 1000;
const now = new Date();
const startOfMonth = new Date(now.getFullYear(), now.getMonth(), 1);
const startDate = formatDate(startOfMonth);
const endDate = formatDate(new Date(Date.now() + ONE_DAY));
const [used, subs] = await Promise.all([
fetch(
this.path(
`${AWS.UsagePath}?start_date=${startDate}&end_date=${endDate}`,
),
{
method: "GET",
headers: getHeaders(),
},
),
fetch(this.path(AWS.SubsPath), {
method: "GET",
headers: getHeaders(),
}),
]);
if (used.status === 401) {
throw new Error(Locale.Error.Unauthorized);
}
if (!used.ok || !subs.ok) {
throw new Error("Failed to query usage from openai");
}
const response = (await used.json()) as {
total_usage?: number;
error?: {
type: string;
message: string;
};
};
const total = (await subs.json()) as {
hard_limit_usd?: number;
};
if (response.error && response.error.type) {
throw Error(response.error.message);
}
if (response.total_usage) {
response.total_usage = Math.round(response.total_usage) / 100;
}
if (total.hard_limit_usd) {
total.hard_limit_usd = Math.round(total.hard_limit_usd * 100) / 100;
}
return {
used: response.total_usage,
total: total.hard_limit_usd,
} as LLMUsage;
}
async models(): Promise<LLMModel[]> {
if (this.disableListModels) {
return DEFAULT_MODELS.slice();
}
const res = await fetch(this.path(AWS.ListModelPath), {
method: "GET",
headers: {
...getHeaders(),
},
});
const resJson = (await res.json()) as OpenAIListModelResponse;
const chatModels = resJson.data;
console.log("[Models]", chatModels);
if (!chatModels) {
return [];
}
return chatModels.map((m) => ({
name: m.id,
displayName: m.id,
available: true,
provider: {
id: "bedrock",
providerName: "Bedrock",
providerType: "bedrock",
},
}));
}
}
export { AWS };

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@ -317,7 +317,8 @@ export function PreviewActions(props: {
if (config.modelConfig.model.startsWith("gemini")) {
api = new ClientApi(ModelProvider.GeminiPro);
} else if (identifyDefaultClaudeModel(config.modelConfig.model)) {
api = new ClientApi(ModelProvider.Claude);
//api = new ClientApi(ModelProvider.Claude);
api = new ClientApi(ModelProvider.Bedrock);
} else {
api = new ClientApi(ModelProvider.GPT);
}

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@ -175,7 +175,8 @@ export function useLoadData() {
if (config.modelConfig.model.startsWith("gemini")) {
api = new ClientApi(ModelProvider.GeminiPro);
} else if (identifyDefaultClaudeModel(config.modelConfig.model)) {
api = new ClientApi(ModelProvider.Claude);
//api = new ClientApi(ModelProvider.Claude);
api = new ClientApi(ModelProvider.Bedrock);
} else {
api = new ClientApi(ModelProvider.GPT);
}

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@ -1187,6 +1187,46 @@ export function Settings() {
</ListItem>
</>
)}
{accessStore.provider === ServiceProvider.AWS && (
<>
<ListItem
title={Locale.Settings.Access.AWS.Endpoint.Title}
subTitle={Locale.Settings.Access.AWS.Endpoint.SubTitle}
>
<input
type="text"
value={accessStore.awsUrl}
placeholder={
Locale.Settings.Access.AWS.Endpoint.SubTitle
}
onChange={(e) =>
accessStore.update(
(access) =>
(access.awsUrl = e.currentTarget.value),
)
}
></input>
</ListItem>
<ListItem
title={Locale.Settings.Access.AWS.ApiKey.Title}
subTitle={Locale.Settings.Access.AWS.ApiKey.SubTitle}
>
<PasswordInput
value={accessStore.awsApiKey}
type="text"
placeholder={
Locale.Settings.Access.AWS.ApiKey.Placeholder
}
onChange={(e) => {
accessStore.update(
(access) =>
(access.awsApiKey = e.currentTarget.value),
);
}}
/>
</ListItem>
</>
)}
</>
)}
</>

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@ -216,11 +216,11 @@ export function SideBar(props: { className?: string }) {
<IconButton icon={<SettingsIcon />} shadow />
</Link>
</div>
<div className={styles["sidebar-action"]}>
{/* <div className={styles["sidebar-action"]}>
<a href={REPO_URL} target="_blank" rel="noopener noreferrer">
<IconButton icon={<GithubIcon />} shadow />
</a>
</div>
</div> */}
</div>
<div>
<IconButton

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@ -92,6 +92,7 @@ export const getServerSideConfig = () => {
const isAzure = !!process.env.AZURE_URL;
const isGoogle = !!process.env.GOOGLE_API_KEY;
const isAnthropic = !!process.env.ANTHROPIC_API_KEY;
const isAWS = !!process.env.AWS_API_KEY;
// const apiKeyEnvVar = process.env.OPENAI_API_KEY ?? "";
// const apiKeys = apiKeyEnvVar.split(",").map((v) => v.trim());
@ -124,6 +125,10 @@ export const getServerSideConfig = () => {
anthropicApiVersion: process.env.ANTHROPIC_API_VERSION,
anthropicUrl: process.env.ANTHROPIC_URL,
isAWS,
awsApiKey: getApiKey(process.env.AWS_API_KEY),
awsUrl: process.env.AWS_URL,
gtmId: process.env.GTM_ID,
needCode: ACCESS_CODES.size > 0,

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@ -1,4 +1,4 @@
export const OWNER = "Yidadaa";
export const OWNER = "Ryder Tsui";
export const REPO = "ChatGPT-Next-Web";
export const REPO_URL = `https://github.com/${OWNER}/${REPO}`;
export const ISSUE_URL = `https://github.com/${OWNER}/${REPO}/issues`;
@ -70,12 +70,14 @@ export enum ServiceProvider {
Azure = "Azure",
Google = "Google",
Anthropic = "Anthropic",
AWS = "AWS",
}
export enum ModelProvider {
GPT = "GPT",
GeminiPro = "GeminiPro",
Claude = "Claude",
Bedrock = "Bedrock",
}
export const Anthropic = {
@ -101,6 +103,12 @@ export const Google = {
ChatPath: (modelName: string) => `v1beta/models/${modelName}:generateContent`,
};
export const AWS = {
ExampleEndpoint: "http://localhost:8866",
ChatPath: "v1/chat/completions",
ListModelPath: "v1/models",
};
export const DEFAULT_INPUT_TEMPLATE = `{{input}}`; // input / time / model / lang
// export const DEFAULT_SYSTEM_TEMPLATE = `
// You are ChatGPT, a large language model trained by {{ServiceProvider}}.
@ -168,6 +176,14 @@ const anthropicModels = [
"claude-3-haiku-20240307",
];
const bedrockModels = [
"llama3-70b",
"llama3-8b",
"claude-3-haiku",
"claude-3-sonnet",
"claude-3-opus",
];
export const DEFAULT_MODELS = [
...openaiModels.map((name) => ({
name,
@ -196,6 +212,15 @@ export const DEFAULT_MODELS = [
providerType: "anthropic",
},
})),
...bedrockModels.map((name) => ({
name,
available: true,
provider: {
id: "AWS",
providerName: "Bedrock",
providerType: "bedrock",
},
})),
] as const;
export const CHAT_PAGE_SIZE = 15;

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@ -347,6 +347,21 @@ const cn = {
SubTitle: "选择一个特定的 API 版本",
},
},
AWS: {
Endpoint: {
Title: "接口地址",
SubTitle: "样例http://localhost:8866",
},
ApiKey: {
Title: "API Key",
SubTitle: "API Key",
Placeholder: "输入您的 AWS API 密钥",
},
ApiVerion: {
Title: "接口版本 (aws api version)",
SubTitle: "选择指定的部分版本",
},
},
CustomModel: {
Title: "自定义模型名",
SubTitle: "增加自定义模型可选项,使用英文逗号隔开",

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@ -42,6 +42,11 @@ const DEFAULT_ACCESS_STATE = {
anthropicApiVersion: "2023-06-01",
anthropicUrl: "",
//AWS
awsUrl: "",
awsApiKey: "",
awsApiVersion: "",
// server config
needCode: true,
hideUserApiKey: false,

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@ -366,8 +366,9 @@ export const useChatStore = createPersistStore(
var api: ClientApi;
if (modelConfig.model.startsWith("gemini")) {
api = new ClientApi(ModelProvider.GeminiPro);
} else if (identifyDefaultClaudeModel(modelConfig.model)) {
api = new ClientApi(ModelProvider.Claude);
} else if (modelConfig.model.startsWith("claude")) {
api = new ClientApi(ModelProvider.Bedrock);
//api = new ClientApi(ModelProvider.Claude);
} else {
api = new ClientApi(ModelProvider.GPT);
}
@ -551,7 +552,8 @@ export const useChatStore = createPersistStore(
if (modelConfig.model.startsWith("gemini")) {
api = new ClientApi(ModelProvider.GeminiPro);
} else if (identifyDefaultClaudeModel(modelConfig.model)) {
api = new ClientApi(ModelProvider.Claude);
//api = new ClientApi(ModelProvider.Claude);
api = new ClientApi(ModelProvider.Bedrock);
} else {
api = new ClientApi(ModelProvider.GPT);
}