mirror of
https://github.com/stackblitz-labs/bolt.diy
synced 2025-01-23 19:27:04 +00:00
74 lines
2.0 KiB
TypeScript
74 lines
2.0 KiB
TypeScript
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import { BaseProvider } from '~/lib/modules/llm/base-provider';
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import type { ModelInfo } from '~/lib/modules/llm/types';
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import type { IProviderSetting } from '~/types/model';
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import { createOpenAI } from '@ai-sdk/openai';
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import type { LanguageModelV1 } from 'ai';
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export default class LMStudioProvider extends BaseProvider {
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name = 'LMStudio';
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getApiKeyLink = 'https://lmstudio.ai/';
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labelForGetApiKey = 'Get LMStudio';
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icon = 'i-ph:cloud-arrow-down';
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config = {
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baseUrlKey: 'LMSTUDIO_API_BASE_URL',
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};
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staticModels: ModelInfo[] = [];
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async getDynamicModels(
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apiKeys?: Record<string, string>,
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settings?: IProviderSetting,
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serverEnv: Record<string, string> = {},
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): Promise<ModelInfo[]> {
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try {
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const { baseUrl } = this.getProviderBaseUrlAndKey({
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apiKeys,
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providerSettings: settings,
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serverEnv,
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defaultBaseUrlKey: 'LMSTUDIO_API_BASE_URL',
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defaultApiTokenKey: '',
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});
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if (!baseUrl) {
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return [];
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}
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const response = await fetch(`${baseUrl}/v1/models`);
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const data = (await response.json()) as { data: Array<{ id: string }> };
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return data.data.map((model) => ({
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name: model.id,
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label: model.id,
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provider: this.name,
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maxTokenAllowed: 8000,
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}));
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} catch (error: any) {
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console.log('Error getting LMStudio models:', error.message);
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return [];
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}
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}
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getModelInstance: (options: {
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model: string;
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serverEnv: Env;
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apiKeys?: Record<string, string>;
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providerSettings?: Record<string, IProviderSetting>;
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}) => LanguageModelV1 = (options) => {
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const { apiKeys, providerSettings, serverEnv, model } = options;
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const { baseUrl } = this.getProviderBaseUrlAndKey({
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apiKeys,
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providerSettings,
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serverEnv: serverEnv as any,
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defaultBaseUrlKey: 'OLLAMA_API_BASE_URL',
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defaultApiTokenKey: '',
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});
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const lmstudio = createOpenAI({
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baseUrl: `${baseUrl}/v1`,
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apiKey: '',
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});
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return lmstudio(model);
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};
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}
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