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128 lines
3.9 KiB
TypeScript
128 lines
3.9 KiB
TypeScript
import options from "../../services/options.js";
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import log from "../../services/log.js";
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import type { Request, Response } from "express";
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import OpenAI from "openai";
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/**
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* @swagger
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* /api/openai/models:
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* post:
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* summary: List available models from OpenAI
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* operationId: openai-list-models
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* requestBody:
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* required: false
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* content:
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* application/json:
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* schema:
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* type: object
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* properties:
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* baseUrl:
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* type: string
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* description: Optional custom OpenAI API base URL
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* responses:
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* '200':
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* description: List of available OpenAI models
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* content:
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* application/json:
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* schema:
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* type: object
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* properties:
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* success:
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* type: boolean
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* chatModels:
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* type: array
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* items:
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* type: object
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* properties:
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* id:
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* type: string
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* name:
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* type: string
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* type:
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* type: string
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* embeddingModels:
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* type: array
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* items:
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* type: object
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* properties:
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* id:
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* type: string
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* name:
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* type: string
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* type:
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* type: string
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* '500':
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* description: Error listing models
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* security:
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* - session: []
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* tags: ["llm"]
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*/
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async function listModels(req: Request, res: Response) {
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try {
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const { baseUrl } = req.body;
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// Use provided base URL or default from options
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const openaiBaseUrl = baseUrl || await options.getOption('openaiBaseUrl') || 'https://api.openai.com/v1';
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const apiKey = await options.getOption('openaiApiKey');
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if (!apiKey) {
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throw new Error('OpenAI API key is not configured');
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}
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// Initialize OpenAI client with the API key and base URL
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const openai = new OpenAI({
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apiKey,
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baseURL: openaiBaseUrl
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});
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// Call OpenAI API to get models using the SDK
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const response = await openai.models.list();
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// Filter and categorize models
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const allModels = response.data || [];
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// Include all models as chat models, without filtering by specific model names
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// This allows models from providers like OpenRouter to be displayed
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const chatModels = allModels
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.filter((model) =>
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// Exclude models that are explicitly for embeddings
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!model.id.includes('embedding') &&
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!model.id.includes('embed')
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)
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.map((model) => ({
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id: model.id,
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name: model.id,
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type: 'chat'
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}));
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const embeddingModels = allModels
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.filter((model) =>
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// Only include embedding-specific models
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model.id.includes('embedding') ||
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model.id.includes('embed')
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)
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.map((model) => ({
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id: model.id,
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name: model.id,
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type: 'embedding'
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}));
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// Return the models list
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return {
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success: true,
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chatModels,
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embeddingModels
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};
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} catch (error: any) {
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log.error(`Error listing OpenAI models: ${error.message || 'Unknown error'}`);
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// Properly throw the error to be handled by the global error handler
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throw new Error(`Failed to list OpenAI models: ${error.message || 'Unknown error'}`);
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}
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}
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export default {
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listModels
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};
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