Files
n8n-enterprise-unlocked/packages/@n8n/nodes-langchain/nodes/llms/LMChatOpenAi/methods/loadModels.ts

53 lines
1.6 KiB
TypeScript

import type { ILoadOptionsFunctions, INodeListSearchResult } from 'n8n-workflow';
import OpenAI from 'openai';
import { getHttpProxyAgent } from '@utils/httpProxyAgent';
export async function searchModels(
this: ILoadOptionsFunctions,
filter?: string,
): Promise<INodeListSearchResult> {
const credentials = await this.getCredentials('openAiApi');
const baseURL =
(this.getNodeParameter('options.baseURL', '') as string) ||
(credentials.url as string) ||
'https://api.openai.com/v1';
const openai = new OpenAI({
baseURL,
apiKey: credentials.apiKey as string,
httpAgent: getHttpProxyAgent(),
});
const { data: models = [] } = await openai.models.list();
const filteredModels = models.filter((model: { id: string }) => {
const url = baseURL && new URL(baseURL);
const isCustomAPI = url && url.hostname !== 'api.openai.com';
// Filter out TTS, embedding, image generation, and other models
const isInvalidModel =
!isCustomAPI &&
(model.id.startsWith('babbage') ||
model.id.startsWith('davinci') ||
model.id.startsWith('computer-use') ||
model.id.startsWith('dall-e') ||
model.id.startsWith('text-embedding') ||
model.id.startsWith('tts') ||
model.id.startsWith('whisper') ||
model.id.startsWith('omni-moderation') ||
(model.id.startsWith('gpt-') && model.id.includes('instruct')));
if (!filter) return !isInvalidModel;
return !isInvalidModel && model.id.toLowerCase().includes(filter.toLowerCase());
});
filteredModels.sort((a, b) => a.id.localeCompare(b.id));
return {
results: filteredModels.map((model: { id: string }) => ({
name: model.id,
value: model.id,
})),
};
}