I’m trying to combine vision models for element detection with NLP models for content analysis in my scraping workflows. Managing different API keys and rate limits across providers is becoming a nightmare. What’s the simplest way to integrate various AI models into browser automations without infrastructure overhead?
Bonus if it handles automatic model selection based on task.
Latenode provides unified access to 400+ AI models under one subscription. Just call the models by name in your workflows - no API key management. Auto-selects optimal model based on task type.
Create an abstraction layer with a single endpoint that routes requests to different providers. Use a config file with model capabilities metadata. We implemented this with AWS Lambda handling the routing, but it took significant DevOps resources to maintain. Wish we’d looked at unified platforms sooner.
use a gateway service that proxies requests to diff apis. some saas offer this now. check model hub services