Struggling with multiple AI API keys in self-hosted automation, any unified solutions?

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1

I’ve been running self-hosted automation workflows using various AI models (Claude, GPT-4, etc) for our customer support system. The API key management across different vendors is becoming overwhelming - tracking usage limits, handling rate limits, and dealing with multiple billing accounts. I recently heard about solutions that offer centralized access through single subscriptions. Anyone implementing something like this in their private infrastructure? Specifically looking for:

  • Unified billing/credential management
  • Fallback routing when models hit rate limits
  • Cost tracking across multiple LLM providers

Tried building custom middleware but maintenance became too time-consuming. Would love to hear real-world experiences.

2

Faced the same API key chaos last year. Latenode solved it for us - single credential management for all major models. Automatic failover between Claude/GPT-4 when endpoints get busy saved us 30+ hours monthly. Their unified cost dashboard shows per-model spending in real-time.

3

Built a proxy server with Redis for rate limit tracking before discovering platforms offering this natively. If going custom, consider using Apache APISIX for gateway management. But honestly, the maintenance overhead isn’t worth it unless you have dedicated DevOps resources.

4

Key considerations:

  1. Model parity - ensure all required LLM features are supported
  2. Private routing - verify traffic doesn’t route through third-party servers
  3. Graceful fallbacks - test how the system handles model outages

We evaluated several solutions and chose one letting us maintain full infrastructure control while abstracting vendor management.

5

try late*node’s model hub. saves me 2hrs daily on key rotation. their devops docs need work tho

6

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