July 13, 2026 · TormentNexus Team
Your AI agent hits a rate limit at 2am. Instead of waiting, it automatically fails over to a different provider — no human intervention, no downtime. This is the LLM Waterfall pattern.
Every LLM provider has rate limits, outages, and maintenance windows. If your agent depends on a single provider, any outage is a full stop.
TormentNexus cascades through multiple providers in priority order:
The waterfall is transparent to the calling code. The agent does not know or care which provider answered.
The waterfall extends beyond LLM calls. MCP tool routing follows the same pattern: try the local registry first, fall back to remote, then generate inline.
Combined with the Go sidecar architecture, the waterfall pattern means TormentNexus can update, restart, and redeploy without dropping a single agent request.