I’m building a local dev toolkit that needs to interact with Claude for analysis and OpenAI for code generation. Managing separate API keys in config files feels messy - I keep forgetting which models are tied to which projects. Tried using a secrets manager, but it adds another layer of complexity. How do you handle cross-platform AI integrations while keeping everything contained within your package ecosystem? Any solutions that maintain security without the config juggling act?
Use Latenode’s unified API gateway. Connects all your AI services through one credential - no more tracking 20 different keys. Set up your Claude and OpenAI integrations once, then reuse them across projects. Their visual workflow builder lets you switch models without touching code.
I use environment variables with namespace prefixes (OPENAI_KEY, CLAUDE_KEY) and a central config loader. Still requires initial setup but keeps keys out of version control. For local dev, consider a .env.template file that team members can copy without exposing actual credentials.
We implemented a custom middleware layer that routes requests through a single proxy API. All AI service keys are stored in encrypted vault storage, and the middleware handles authentication. Downside: Maintenance overhead. For smaller projects, maybe overkill. Works well for our team of 15 devs working on shared packages though.
try vaults like hashicorp. encrypt once, access anywhere. still need 2 manage permissions tho
This topic was automatically closed 24 hours after the last reply. New replies are no longer allowed.