Perplexica/ui/app/api/config/route.ts

import { getAnthropicApiKey, getCustomOpenaiApiKey, getCustomOpenaiApiUrl, getCustomOpenaiModelName, getGeminiApiKey, getGroqApiKey, getOllamaApiEndpoint, getOpenaiApiKey } from "@/lib/config"
import { getAvailableChatModelProviders, getAvailableEmbeddingModelProviders } from "@/lib/providers"

export const GET = async (req: Request) => {
  try {
    const config: Record<string, any> = {}

    const [chatModelProviders, embeddingModelProviders] = await Promise.all([
      getAvailableChatModelProviders(),
      getAvailableEmbeddingModelProviders(),
    ])

    config['chatModelProviders'] = {}
    config['embeddingModelProviders'] = {}

    for (const provider in chatModelProviders) {
      config['chatModelProviders'][provider] = Object.keys(
        chatModelProviders[provider],
      ).map(model => {
        return {
          name: model,
          displayName: chatModelProviders[provider][model].displayName,
        }
      })
    }

    for (const provider in embeddingModelProviders) {
      config['embeddingModelProviders'][provider] = Object.keys(
        embeddingModelProviders[provider],
      ).map(model => {
        return {
          name: model,
          displayName: embeddingModelProviders[provider][model].displayName,
        }
      })
    }

    config['openaiApiKey'] = getOpenaiApiKey()
    config['ollamaApiUrl'] = getOllamaApiEndpoint()
    config['anthropicApiKey'] = getAnthropicApiKey()
    config['groqApiKey'] = getGroqApiKey()
    config['geminiApiKey'] = getGeminiApiKey()
    config['customOpenaiApiUrl'] = getCustomOpenaiApiUrl()
    config['customOpenaiApiKey'] = getCustomOpenaiApiKey()
    config['customOpenaiModelName'] = getCustomOpenaiModelName()

    return Response.json({ ...config }, { status: 200 })
  } catch (err) {
    console.error('An error ocurred while getting config:', err)
    return Response.json(
      { message: 'An error ocurred while getting config' },
      { status: 500 },
    )
  }
}