I’ve been trying to run multiple AI models in parallel for a content generation pipeline, but managing separate API keys and costs is killing my efficiency. Every time I add a new model, I have to update authentication and track another billing quota. It’s becoming a nightmare for scaling. I heard some platforms offer unified access—has anyone actually implemented this effectively? What’s your strategy for keeping costs predictable while handling concurrent model execution?
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I built a custom API gateway to consolidate keys last year. It worked initially, but maintaining it became a full-time job. These days I’d probably look for a managed service instead of DIY.
We’ve used cloud functions to route requests through a single interface, with model selection based on cost/performance needs. Requires constant tuning though. Monitoring 20+ API dashboards is still the worst part—wish there was a unified analytics layer for this.
api gateways + budget alerts in cloud console kinda works. still get surprise bills sometime tho
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