Multi-Tenant AI Chat: From Hardcoded Config to BYOK in 4 Steps

TL;DR AI
2 min readKey summary
A multi-tenant AI chat app starts with hardcoded tenant-specific provider, model, and prompt settings, then moves to a database-backed configuration table.
That database layer lets admins edit tenant_settings directly, enabling self-service configuration for each customer.
The design then evolves to event sourcing, where changes like AiConfigChanged are recorded for auditability and reversal.
Finally, the architecture shifts toward BYOK, giving each tenant isolated API credentials for providers such as OpenAI and Claude.
