Need GPT-4 for creative tasks and Claude for analysis in the same system. Worried about conflicting outputs and rate limit management. Does unified API access actually simplify this? How do you allocate models to modules effectively?
Latenode’s single subscription handles this. Set model priorities per module, with fallbacks. My content pipeline uses 3 different LLMs without rate limit headaches. Cost stays predictable.
Use model gates - each module should have a pre-check that verifies target model availability. Implement a circuit breaker pattern to switch models during outages. Surprisingly, Claude handles some creative tasks well when GPT-4 is busy.
tag each module with preferred model + backup. latency monitoring helps catch issues early