feat(app): remove backend

This commit is contained in:
ItzCrazyKns
2025-03-19 16:23:27 +05:30
parent 8a24572cd2
commit 217736d05a
145 changed files with 3546 additions and 10516 deletions

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@ -1,6 +1,38 @@
import { ChatAnthropic } from '@langchain/anthropic';
import { getAnthropicApiKey } from '../../config';
import logger from '../../utils/logger';
import { ChatOpenAI } from '@langchain/openai';
import { ChatModel } from '.';
import { getAnthropicApiKey } from '../config';
import { BaseChatModel } from '@langchain/core/language_models/chat_models';
const anthropicChatModels: Record<string, string>[] = [
{
displayName: 'Claude 3.7 Sonnet',
key: 'claude-3-7-sonnet-20250219',
},
{
displayName: 'Claude 3.5 Haiku',
key: 'claude-3-5-haiku-20241022',
},
{
displayName: 'Claude 3.5 Sonnet v2',
key: 'claude-3-5-sonnet-20241022',
},
{
displayName: 'Claude 3.5 Sonnet',
key: 'claude-3-5-sonnet-20240620',
},
{
displayName: 'Claude 3 Opus',
key: 'claude-3-opus-20240229',
},
{
displayName: 'Claude 3 Sonnet',
key: 'claude-3-sonnet-20240229',
},
{
displayName: 'Claude 3 Haiku',
key: 'claude-3-haiku-20240307',
},
];
export const loadAnthropicChatModels = async () => {
const anthropicApiKey = getAnthropicApiKey();
@ -8,52 +40,25 @@ export const loadAnthropicChatModels = async () => {
if (!anthropicApiKey) return {};
try {
const chatModels = {
'claude-3-5-sonnet-20241022': {
displayName: 'Claude 3.5 Sonnet',
model: new ChatAnthropic({
const chatModels: Record<string, ChatModel> = {};
anthropicChatModels.forEach((model) => {
chatModels[model.key] = {
displayName: model.displayName,
model: new ChatOpenAI({
openAIApiKey: anthropicApiKey,
modelName: model.key,
temperature: 0.7,
anthropicApiKey: anthropicApiKey,
model: 'claude-3-5-sonnet-20241022',
}),
},
'claude-3-5-haiku-20241022': {
displayName: 'Claude 3.5 Haiku',
model: new ChatAnthropic({
temperature: 0.7,
anthropicApiKey: anthropicApiKey,
model: 'claude-3-5-haiku-20241022',
}),
},
'claude-3-opus-20240229': {
displayName: 'Claude 3 Opus',
model: new ChatAnthropic({
temperature: 0.7,
anthropicApiKey: anthropicApiKey,
model: 'claude-3-opus-20240229',
}),
},
'claude-3-sonnet-20240229': {
displayName: 'Claude 3 Sonnet',
model: new ChatAnthropic({
temperature: 0.7,
anthropicApiKey: anthropicApiKey,
model: 'claude-3-sonnet-20240229',
}),
},
'claude-3-haiku-20240307': {
displayName: 'Claude 3 Haiku',
model: new ChatAnthropic({
temperature: 0.7,
anthropicApiKey: anthropicApiKey,
model: 'claude-3-haiku-20240307',
}),
},
};
configuration: {
baseURL: 'https://api.anthropic.com/v1/',
},
}) as unknown as BaseChatModel,
};
});
return chatModels;
} catch (err) {
logger.error(`Error loading Anthropic models: ${err}`);
console.error(`Error loading Anthropic models: ${err}`);
return {};
}
};

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@ -1,9 +1,42 @@
import {
ChatGoogleGenerativeAI,
GoogleGenerativeAIEmbeddings,
} from '@langchain/google-genai';
import { getGeminiApiKey } from '../../config';
import logger from '../../utils/logger';
import { ChatOpenAI, OpenAIEmbeddings } from '@langchain/openai';
import { getGeminiApiKey } from '../config';
import { ChatModel, EmbeddingModel } from '.';
import { BaseChatModel } from '@langchain/core/language_models/chat_models';
import { Embeddings } from '@langchain/core/embeddings';
const geminiChatModels: Record<string, string>[] = [
{
displayName: 'Gemini 2.0 Flash',
key: 'gemini-2.0-flash',
},
{
displayName: 'Gemini 2.0 Flash-Lite',
key: 'gemini-2.0-flash-lite',
},
{
displayName: 'Gemini 2.0 Pro Experimental',
key: 'gemini-2.0-pro-exp-02-05',
},
{
displayName: 'Gemini 1.5 Flash',
key: 'gemini-1.5-flash',
},
{
displayName: 'Gemini 1.5 Flash-8B',
key: 'gemini-1.5-flash-8b',
},
{
displayName: 'Gemini 1.5 Pro',
key: 'gemini-1.5-pro',
},
];
const geminiEmbeddingModels: Record<string, string>[] = [
{
displayName: 'Gemini Embedding',
key: 'gemini-embedding-exp',
},
];
export const loadGeminiChatModels = async () => {
const geminiApiKey = getGeminiApiKey();
@ -11,75 +44,53 @@ export const loadGeminiChatModels = async () => {
if (!geminiApiKey) return {};
try {
const chatModels = {
'gemini-1.5-flash': {
displayName: 'Gemini 1.5 Flash',
model: new ChatGoogleGenerativeAI({
modelName: 'gemini-1.5-flash',
const chatModels: Record<string, ChatModel> = {};
geminiChatModels.forEach((model) => {
chatModels[model.key] = {
displayName: model.displayName,
model: new ChatOpenAI({
openAIApiKey: geminiApiKey,
modelName: model.key,
temperature: 0.7,
apiKey: geminiApiKey,
}),
},
'gemini-1.5-flash-8b': {
displayName: 'Gemini 1.5 Flash 8B',
model: new ChatGoogleGenerativeAI({
modelName: 'gemini-1.5-flash-8b',
temperature: 0.7,
apiKey: geminiApiKey,
}),
},
'gemini-1.5-pro': {
displayName: 'Gemini 1.5 Pro',
model: new ChatGoogleGenerativeAI({
modelName: 'gemini-1.5-pro',
temperature: 0.7,
apiKey: geminiApiKey,
}),
},
'gemini-2.0-flash-exp': {
displayName: 'Gemini 2.0 Flash Exp',
model: new ChatGoogleGenerativeAI({
modelName: 'gemini-2.0-flash-exp',
temperature: 0.7,
apiKey: geminiApiKey,
}),
},
'gemini-2.0-flash-thinking-exp-01-21': {
displayName: 'Gemini 2.0 Flash Thinking Exp 01-21',
model: new ChatGoogleGenerativeAI({
modelName: 'gemini-2.0-flash-thinking-exp-01-21',
temperature: 0.7,
apiKey: geminiApiKey,
}),
},
};
configuration: {
baseURL: 'https://generativelanguage.googleapis.com/v1beta/openai/',
},
}) as unknown as BaseChatModel,
};
});
return chatModels;
} catch (err) {
logger.error(`Error loading Gemini models: ${err}`);
console.error(`Error loading Gemini models: ${err}`);
return {};
}
};
export const loadGeminiEmbeddingsModels = async () => {
export const loadGeminiEmbeddingModels = async () => {
const geminiApiKey = getGeminiApiKey();
if (!geminiApiKey) return {};
try {
const embeddingModels = {
'text-embedding-004': {
displayName: 'Text Embedding',
model: new GoogleGenerativeAIEmbeddings({
apiKey: geminiApiKey,
modelName: 'text-embedding-004',
}),
},
};
const embeddingModels: Record<string, EmbeddingModel> = {};
geminiEmbeddingModels.forEach((model) => {
embeddingModels[model.key] = {
displayName: model.displayName,
model: new OpenAIEmbeddings({
openAIApiKey: geminiApiKey,
modelName: model.key,
configuration: {
baseURL: 'https://generativelanguage.googleapis.com/v1beta/openai/',
},
}) as unknown as Embeddings,
};
});
return embeddingModels;
} catch (err) {
logger.error(`Error loading Gemini embeddings model: ${err}`);
console.error(`Error loading OpenAI embeddings models: ${err}`);
return {};
}
};

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@ -1,6 +1,82 @@
import { ChatOpenAI } from '@langchain/openai';
import { getGroqApiKey } from '../../config';
import logger from '../../utils/logger';
import { getGroqApiKey } from '../config';
import { ChatModel } from '.';
import { BaseChatModel } from '@langchain/core/language_models/chat_models';
const groqChatModels: Record<string, string>[] = [
{
displayName: 'Gemma2 9B IT',
key: 'gemma2-9b-it',
},
{
displayName: 'Llama 3.3 70B Versatile',
key: 'llama-3.3-70b-versatile',
},
{
displayName: 'Llama 3.1 8B Instant',
key: 'llama-3.1-8b-instant',
},
{
displayName: 'Llama3 70B 8192',
key: 'llama3-70b-8192',
},
{
displayName: 'Llama3 8B 8192',
key: 'llama3-8b-8192',
},
{
displayName: 'Mixtral 8x7B 32768',
key: 'mixtral-8x7b-32768',
},
{
displayName: 'Qwen QWQ 32B (Preview)',
key: 'qwen-qwq-32b',
},
{
displayName: 'Mistral Saba 24B (Preview)',
key: 'mistral-saba-24b',
},
{
displayName: 'Qwen 2.5 Coder 32B (Preview)',
key: 'qwen-2.5-coder-32b',
},
{
displayName: 'Qwen 2.5 32B (Preview)',
key: 'qwen-2.5-32b',
},
{
displayName: 'DeepSeek R1 Distill Qwen 32B (Preview)',
key: 'deepseek-r1-distill-qwen-32b',
},
{
displayName: 'DeepSeek R1 Distill Llama 70B SpecDec (Preview)',
key: 'deepseek-r1-distill-llama-70b-specdec',
},
{
displayName: 'DeepSeek R1 Distill Llama 70B (Preview)',
key: 'deepseek-r1-distill-llama-70b',
},
{
displayName: 'Llama 3.3 70B SpecDec (Preview)',
key: 'llama-3.3-70b-specdec',
},
{
displayName: 'Llama 3.2 1B Preview (Preview)',
key: 'llama-3.2-1b-preview',
},
{
displayName: 'Llama 3.2 3B Preview (Preview)',
key: 'llama-3.2-3b-preview',
},
{
displayName: 'Llama 3.2 11B Vision Preview (Preview)',
key: 'llama-3.2-11b-vision-preview',
},
{
displayName: 'Llama 3.2 90B Vision Preview (Preview)',
key: 'llama-3.2-90b-vision-preview',
},
];
export const loadGroqChatModels = async () => {
const groqApiKey = getGroqApiKey();
@ -8,129 +84,25 @@ export const loadGroqChatModels = async () => {
if (!groqApiKey) return {};
try {
const chatModels = {
'llama-3.3-70b-versatile': {
displayName: 'Llama 3.3 70B',
model: new ChatOpenAI(
{
openAIApiKey: groqApiKey,
modelName: 'llama-3.3-70b-versatile',
temperature: 0.7,
},
{
const chatModels: Record<string, ChatModel> = {};
groqChatModels.forEach((model) => {
chatModels[model.key] = {
displayName: model.displayName,
model: new ChatOpenAI({
openAIApiKey: groqApiKey,
modelName: model.key,
temperature: 0.7,
configuration: {
baseURL: 'https://api.groq.com/openai/v1',
},
),
},
'llama-3.2-3b-preview': {
displayName: 'Llama 3.2 3B',
model: new ChatOpenAI(
{
openAIApiKey: groqApiKey,
modelName: 'llama-3.2-3b-preview',
temperature: 0.7,
},
{
baseURL: 'https://api.groq.com/openai/v1',
},
),
},
'llama-3.2-11b-vision-preview': {
displayName: 'Llama 3.2 11B Vision',
model: new ChatOpenAI(
{
openAIApiKey: groqApiKey,
modelName: 'llama-3.2-11b-vision-preview',
temperature: 0.7,
},
{
baseURL: 'https://api.groq.com/openai/v1',
},
),
},
'llama-3.2-90b-vision-preview': {
displayName: 'Llama 3.2 90B Vision',
model: new ChatOpenAI(
{
openAIApiKey: groqApiKey,
modelName: 'llama-3.2-90b-vision-preview',
temperature: 0.7,
},
{
baseURL: 'https://api.groq.com/openai/v1',
},
),
},
'llama-3.1-8b-instant': {
displayName: 'Llama 3.1 8B',
model: new ChatOpenAI(
{
openAIApiKey: groqApiKey,
modelName: 'llama-3.1-8b-instant',
temperature: 0.7,
},
{
baseURL: 'https://api.groq.com/openai/v1',
},
),
},
'llama3-8b-8192': {
displayName: 'LLaMA3 8B',
model: new ChatOpenAI(
{
openAIApiKey: groqApiKey,
modelName: 'llama3-8b-8192',
temperature: 0.7,
},
{
baseURL: 'https://api.groq.com/openai/v1',
},
),
},
'llama3-70b-8192': {
displayName: 'LLaMA3 70B',
model: new ChatOpenAI(
{
openAIApiKey: groqApiKey,
modelName: 'llama3-70b-8192',
temperature: 0.7,
},
{
baseURL: 'https://api.groq.com/openai/v1',
},
),
},
'mixtral-8x7b-32768': {
displayName: 'Mixtral 8x7B',
model: new ChatOpenAI(
{
openAIApiKey: groqApiKey,
modelName: 'mixtral-8x7b-32768',
temperature: 0.7,
},
{
baseURL: 'https://api.groq.com/openai/v1',
},
),
},
'gemma2-9b-it': {
displayName: 'Gemma2 9B',
model: new ChatOpenAI(
{
openAIApiKey: groqApiKey,
modelName: 'gemma2-9b-it',
temperature: 0.7,
},
{
baseURL: 'https://api.groq.com/openai/v1',
},
),
},
};
}) as unknown as BaseChatModel,
};
});
return chatModels;
} catch (err) {
logger.error(`Error loading Groq models: ${err}`);
console.error(`Error loading Groq models: ${err}`);
return {};
}
};

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@ -1,33 +1,49 @@
import { loadGroqChatModels } from './groq';
import { loadOllamaChatModels, loadOllamaEmbeddingsModels } from './ollama';
import { loadOpenAIChatModels, loadOpenAIEmbeddingsModels } from './openai';
import { loadAnthropicChatModels } from './anthropic';
import { loadTransformersEmbeddingsModels } from './transformers';
import { loadGeminiChatModels, loadGeminiEmbeddingsModels } from './gemini';
import { Embeddings } from '@langchain/core/embeddings';
import { BaseChatModel } from '@langchain/core/language_models/chat_models';
import { loadOpenAIChatModels, loadOpenAIEmbeddingModels } from './openai';
import {
getCustomOpenaiApiKey,
getCustomOpenaiApiUrl,
getCustomOpenaiModelName,
} from '../../config';
} from '../config';
import { ChatOpenAI } from '@langchain/openai';
import { loadOllamaChatModels, loadOllamaEmbeddingModels } from './ollama';
import { loadGroqChatModels } from './groq';
import { loadAnthropicChatModels } from './anthropic';
import { loadGeminiChatModels, loadGeminiEmbeddingModels } from './gemini';
const chatModelProviders = {
export interface ChatModel {
displayName: string;
model: BaseChatModel;
}
export interface EmbeddingModel {
displayName: string;
model: Embeddings;
}
export const chatModelProviders: Record<
string,
() => Promise<Record<string, ChatModel>>
> = {
openai: loadOpenAIChatModels,
groq: loadGroqChatModels,
ollama: loadOllamaChatModels,
groq: loadGroqChatModels,
anthropic: loadAnthropicChatModels,
gemini: loadGeminiChatModels,
};
const embeddingModelProviders = {
openai: loadOpenAIEmbeddingsModels,
local: loadTransformersEmbeddingsModels,
ollama: loadOllamaEmbeddingsModels,
gemini: loadGeminiEmbeddingsModels,
export const embeddingModelProviders: Record<
string,
() => Promise<Record<string, EmbeddingModel>>
> = {
openai: loadOpenAIEmbeddingModels,
ollama: loadOllamaEmbeddingModels,
gemini: loadGeminiEmbeddingModels,
};
export const getAvailableChatModelProviders = async () => {
const models = {};
const models: Record<string, Record<string, ChatModel>> = {};
for (const provider in chatModelProviders) {
const providerModels = await chatModelProviders[provider]();
@ -52,7 +68,7 @@ export const getAvailableChatModelProviders = async () => {
configuration: {
baseURL: customOpenAiApiUrl,
},
}),
}) as unknown as BaseChatModel,
},
}
: {}),
@ -62,7 +78,7 @@ export const getAvailableChatModelProviders = async () => {
};
export const getAvailableEmbeddingModelProviders = async () => {
const models = {};
const models: Record<string, Record<string, EmbeddingModel>> = {};
for (const provider in embeddingModelProviders) {
const providerModels = await embeddingModelProviders[provider]();

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@ -1,74 +1,73 @@
import { OllamaEmbeddings } from '@langchain/community/embeddings/ollama';
import { getKeepAlive, getOllamaApiEndpoint } from '../../config';
import logger from '../../utils/logger';
import { ChatOllama } from '@langchain/community/chat_models/ollama';
import axios from 'axios';
import { getKeepAlive, getOllamaApiEndpoint } from '../config';
import { ChatModel, EmbeddingModel } from '.';
import { ChatOllama } from '@langchain/community/chat_models/ollama';
import { OllamaEmbeddings } from '@langchain/community/embeddings/ollama';
export const loadOllamaChatModels = async () => {
const ollamaEndpoint = getOllamaApiEndpoint();
const keepAlive = getKeepAlive();
const ollamaApiEndpoint = getOllamaApiEndpoint();
if (!ollamaEndpoint) return {};
if (!ollamaApiEndpoint) return {};
try {
const response = await axios.get(`${ollamaEndpoint}/api/tags`, {
const res = await axios.get(`${ollamaApiEndpoint}/api/tags`, {
headers: {
'Content-Type': 'application/json',
},
});
const { models: ollamaModels } = response.data;
const { models } = res.data;
const chatModels = ollamaModels.reduce((acc, model) => {
acc[model.model] = {
const chatModels: Record<string, ChatModel> = {};
models.forEach((model: any) => {
chatModels[model.model] = {
displayName: model.name,
model: new ChatOllama({
baseUrl: ollamaEndpoint,
baseUrl: ollamaApiEndpoint,
model: model.model,
temperature: 0.7,
keepAlive: keepAlive,
keepAlive: getKeepAlive(),
}),
};
return acc;
}, {});
});
return chatModels;
} catch (err) {
logger.error(`Error loading Ollama models: ${err}`);
console.error(`Error loading Ollama models: ${err}`);
return {};
}
};
export const loadOllamaEmbeddingsModels = async () => {
const ollamaEndpoint = getOllamaApiEndpoint();
export const loadOllamaEmbeddingModels = async () => {
const ollamaApiEndpoint = getOllamaApiEndpoint();
if (!ollamaEndpoint) return {};
if (!ollamaApiEndpoint) return {};
try {
const response = await axios.get(`${ollamaEndpoint}/api/tags`, {
const res = await axios.get(`${ollamaApiEndpoint}/api/tags`, {
headers: {
'Content-Type': 'application/json',
},
});
const { models: ollamaModels } = response.data;
const { models } = res.data;
const embeddingsModels = ollamaModels.reduce((acc, model) => {
acc[model.model] = {
const embeddingModels: Record<string, EmbeddingModel> = {};
models.forEach((model: any) => {
embeddingModels[model.model] = {
displayName: model.name,
model: new OllamaEmbeddings({
baseUrl: ollamaEndpoint,
baseUrl: ollamaApiEndpoint,
model: model.model,
}),
};
});
return acc;
}, {});
return embeddingsModels;
return embeddingModels;
} catch (err) {
logger.error(`Error loading Ollama embeddings model: ${err}`);
console.error(`Error loading Ollama embeddings models: ${err}`);
return {};
}
};

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@ -1,89 +1,90 @@
import { ChatOpenAI, OpenAIEmbeddings } from '@langchain/openai';
import { getOpenaiApiKey } from '../../config';
import logger from '../../utils/logger';
import { getOpenaiApiKey } from '../config';
import { ChatModel, EmbeddingModel } from '.';
import { BaseChatModel } from '@langchain/core/language_models/chat_models';
import { Embeddings } from '@langchain/core/embeddings';
const openaiChatModels: Record<string, string>[] = [
{
displayName: 'GPT-3.5 Turbo',
key: 'gpt-3.5-turbo',
},
{
displayName: 'GPT-4',
key: 'gpt-4',
},
{
displayName: 'GPT-4 turbo',
key: 'gpt-4-turbo',
},
{
displayName: 'GPT-4 omni',
key: 'gpt-4o',
},
{
displayName: 'GPT-4 omni mini',
key: 'gpt-4o-mini',
},
];
const openaiEmbeddingModels: Record<string, string>[] = [
{
displayName: 'Text Embedding 3 Small',
key: 'text-embedding-3-small',
},
{
displayName: 'Text Embedding 3 Large',
key: 'text-embedding-3-large',
},
];
export const loadOpenAIChatModels = async () => {
const openAIApiKey = getOpenaiApiKey();
const openaiApiKey = getOpenaiApiKey();
if (!openAIApiKey) return {};
if (!openaiApiKey) return {};
try {
const chatModels = {
'gpt-3.5-turbo': {
displayName: 'GPT-3.5 Turbo',
const chatModels: Record<string, ChatModel> = {};
openaiChatModels.forEach((model) => {
chatModels[model.key] = {
displayName: model.displayName,
model: new ChatOpenAI({
openAIApiKey,
modelName: 'gpt-3.5-turbo',
openAIApiKey: openaiApiKey,
modelName: model.key,
temperature: 0.7,
}),
},
'gpt-4': {
displayName: 'GPT-4',
model: new ChatOpenAI({
openAIApiKey,
modelName: 'gpt-4',
temperature: 0.7,
}),
},
'gpt-4-turbo': {
displayName: 'GPT-4 turbo',
model: new ChatOpenAI({
openAIApiKey,
modelName: 'gpt-4-turbo',
temperature: 0.7,
}),
},
'gpt-4o': {
displayName: 'GPT-4 omni',
model: new ChatOpenAI({
openAIApiKey,
modelName: 'gpt-4o',
temperature: 0.7,
}),
},
'gpt-4o-mini': {
displayName: 'GPT-4 omni mini',
model: new ChatOpenAI({
openAIApiKey,
modelName: 'gpt-4o-mini',
temperature: 0.7,
}),
},
};
}) as unknown as BaseChatModel,
};
});
return chatModels;
} catch (err) {
logger.error(`Error loading OpenAI models: ${err}`);
console.error(`Error loading OpenAI models: ${err}`);
return {};
}
};
export const loadOpenAIEmbeddingsModels = async () => {
const openAIApiKey = getOpenaiApiKey();
export const loadOpenAIEmbeddingModels = async () => {
const openaiApiKey = getOpenaiApiKey();
if (!openAIApiKey) return {};
if (!openaiApiKey) return {};
try {
const embeddingModels = {
'text-embedding-3-small': {
displayName: 'Text Embedding 3 Small',
const embeddingModels: Record<string, EmbeddingModel> = {};
openaiEmbeddingModels.forEach((model) => {
embeddingModels[model.key] = {
displayName: model.displayName,
model: new OpenAIEmbeddings({
openAIApiKey,
modelName: 'text-embedding-3-small',
}),
},
'text-embedding-3-large': {
displayName: 'Text Embedding 3 Large',
model: new OpenAIEmbeddings({
openAIApiKey,
modelName: 'text-embedding-3-large',
}),
},
};
openAIApiKey: openaiApiKey,
modelName: model.key,
}) as unknown as Embeddings,
};
});
return embeddingModels;
} catch (err) {
logger.error(`Error loading OpenAI embeddings model: ${err}`);
console.error(`Error loading OpenAI embeddings models: ${err}`);
return {};
}
};

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@ -1,32 +0,0 @@
import logger from '../../utils/logger';
import { HuggingFaceTransformersEmbeddings } from '../huggingfaceTransformer';
export const loadTransformersEmbeddingsModels = async () => {
try {
const embeddingModels = {
'xenova-bge-small-en-v1.5': {
displayName: 'BGE Small',
model: new HuggingFaceTransformersEmbeddings({
modelName: 'Xenova/bge-small-en-v1.5',
}),
},
'xenova-gte-small': {
displayName: 'GTE Small',
model: new HuggingFaceTransformersEmbeddings({
modelName: 'Xenova/gte-small',
}),
},
'xenova-bert-base-multilingual-uncased': {
displayName: 'Bert Multilingual',
model: new HuggingFaceTransformersEmbeddings({
modelName: 'Xenova/bert-base-multilingual-uncased',
}),
},
};
return embeddingModels;
} catch (err) {
logger.error(`Error loading Transformers embeddings model: ${err}`);
return {};
}
};