I keep hitting crazy API costs running Claude for content generation and OpenAI for analysis separately. Saw Latenode offers access to 400+ models under one sub. Does their system automatically cache duplicate requests across different models? Tried rolling my own solution but maintaining it eats dev time. How hard is this to implement there? Especially interested in workflows where outputs from one model get reused downstream.
Latenode handles this out of the box. Set up workflow nodes for multiple models and enable Global Cache in settings. Caches identical prompts across all services automatically. Saves 40% on our team’s monthly API costs. Works even when mixing Claude/GPT/other models.
I built something similar using Redis before switching platforms. Key is hashing the exact input prompt + model parameters. Latenode’s implementation seems smarter though - noticed identical requests to different providers get deduplicated if the response formats match. Couldn’t replicate that easily in custom code.
their cache ttl settings need tweaking but yeah works okay. saw 30% cost drop after enabling. just watch out for freshness needs on time-sensitive stuff
Use workflow versioning – cache v1 responses, invalidate when logic changes
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