remi/Perplexica
1
0
Fork 0
mirror of https://github.com/ItzCrazyKns/Perplexica.git synced 2025-06-19 00:08:43 +00:00
Code Issues Packages Projects Releases Wiki Activity

feat(app): lint & beautify

Browse Source
This commit is contained in:
ItzCrazyKns
2025-04-12 11:58:52 +05:30
parent 9a332e79e4
commit 073b5e897c
12 changed files with 66 additions and 35 deletions
Download Patch File Download Diff File Expand all files Collapse all files

20
src/lib/providers/lmstudio.ts
View File

@ -4,7 +4,7 @@ import { ChatModel, EmbeddingModel } from '.';
export const PROVIDER_INFO = {
key: 'lmstudio',
displayName: 'LM Studio'
displayName: 'LM Studio',
};
import { ChatOpenAI } from '@langchain/openai';
import { OpenAIEmbeddings } from '@langchain/openai';
@ -16,14 +16,12 @@ interface LMStudioModel {
name?: string;
}
const ensureV1Endpoint = (endpoint: string): string =>
const ensureV1Endpoint = (endpoint: string): string =>
endpoint.endsWith('/v1') ? endpoint : `${endpoint}/v1`;
const checkServerAvailability = async (endpoint: string): Promise<boolean> => {
try {
const keepAlive = getKeepAlive();
await axios.get(`${ensureV1Endpoint(endpoint)}/models`, {
timeout: parseInt(keepAlive) * 1000 || 5000,
headers: { 'Content-Type': 'application/json' },
});
return true;
@ -34,14 +32,12 @@ const checkServerAvailability = async (endpoint: string): Promise<boolean> => {
export const loadLMStudioChatModels = async () => {
const endpoint = getLMStudioApiEndpoint();
const keepAlive = getKeepAlive();
if (!endpoint) return {};
if (!await checkServerAvailability(endpoint)) return {};
if (!(await checkServerAvailability(endpoint))) return {};
try {
const response = await axios.get(`${ensureV1Endpoint(endpoint)}/models`, {
timeout: parseInt(keepAlive) * 1000 || 5000,
headers: { 'Content-Type': 'application/json' },
});
@ -58,7 +54,7 @@ export const loadLMStudioChatModels = async () => {
modelName: model.id,
temperature: 0.7,
streaming: true,
maxRetries: 3
maxRetries: 3,
}) as unknown as BaseChatModel,
};
});
@ -72,14 +68,12 @@ export const loadLMStudioChatModels = async () => {
export const loadLMStudioEmbeddingsModels = async () => {
const endpoint = getLMStudioApiEndpoint();
const keepAlive = getKeepAlive();
if (!endpoint) return {};
if (!await checkServerAvailability(endpoint)) return {};
if (!(await checkServerAvailability(endpoint))) return {};
try {
const response = await axios.get(`${ensureV1Endpoint(endpoint)}/models`, {
timeout: parseInt(keepAlive) * 1000 || 5000,
headers: { 'Content-Type': 'application/json' },
});