Files
gooseek/services/chat-svc/src/lib/models/providers/transformers/index.ts
home cd6b7857ba feat: default locale Russian, geo determines language for other countries
- localization-svc: defaultLocale ru, resolveLocale only by geo
- web-svc: DEFAULT_LOCALE ru, layout lang=ru, embeddedTranslations fallback ru
- countryToLocale: default ru when no country or unknown country

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-02-23 15:10:38 +03:00

89 lines
2.3 KiB
TypeScript

import { UIConfigField } from '../../../config/types.js';
import { getConfiguredModelProviderById } from '../../../config/serverRegistry.js';
import { Model, ModelList, ProviderMetadata } from '../../types.js';
import BaseModelProvider from '../../base/provider.js';
import BaseLLM from '../../base/llm.js';
import BaseEmbedding from '../../base/embedding.js';
import TransformerEmbedding from './transformerEmbedding.js';
interface TransformersConfig {}
const defaultEmbeddingModels: Model[] = [
{
name: 'all-MiniLM-L6-v2',
key: 'Xenova/all-MiniLM-L6-v2',
},
{
name: 'mxbai-embed-large-v1',
key: 'mixedbread-ai/mxbai-embed-large-v1',
},
{
name: 'nomic-embed-text-v1',
key: 'Xenova/nomic-embed-text-v1',
},
];
const providerConfigFields: UIConfigField[] = [];
class TransformersProvider extends BaseModelProvider<TransformersConfig> {
constructor(id: string, name: string, config: TransformersConfig) {
super(id, name, config);
}
async getDefaultModels(): Promise<ModelList> {
return {
embedding: [...defaultEmbeddingModels],
chat: [],
};
}
async getModelList(): Promise<ModelList> {
const defaultModels = await this.getDefaultModels();
const configProvider = getConfiguredModelProviderById(this.id)!;
return {
embedding: [
...defaultModels.embedding,
...configProvider.embeddingModels,
],
chat: [],
};
}
async loadChatModel(key: string): Promise<BaseLLM<any>> {
throw new Error('Transformers Provider does not support chat models.');
}
async loadEmbeddingModel(key: string): Promise<BaseEmbedding<any>> {
const modelList = await this.getModelList();
const exists = modelList.embedding.find((m) => m.key === key);
if (!exists) {
throw new Error(
'Error Loading OpenAI Embedding Model. Invalid Model Selected.',
);
}
return new TransformerEmbedding({
model: key,
});
}
static parseAndValidate(raw: any): TransformersConfig {
return {};
}
static getProviderConfigFields(): UIConfigField[] {
return providerConfigFields;
}
static getProviderMetadata(): ProviderMetadata {
return {
key: 'transformers',
name: 'Transformers',
};
}
}
export default TransformersProvider;