Why Monolithic AI Gateways Are Losing Ground in 2026

Description and use

Monolithic AI gateways become brittle when scaling to new providers or protocols. Respan’s plugin architecture lets teams add capabilities without touching core logic, reducing technical debt and speeding experimentation.

Problem

Teams managing multiple LLM integrations struggle to extend monolithic AI gateways when adding new providers, protocols, or features.

Outcome

Respan’s plugin architecture eliminates the need to touch core logic when adding new providers or protocols, reducing technical debt and enabling faster experimentation.

Workflow

• 1. Define a plugin interface contract before writing any adapters.
• 2. Implement provider adapters, protocol handlers, and other plugins as separate modules.
• 3. Load desired plugins at runtime, keeping the core binary unchanged.
• 4. Route requests through the core, which delegates to the appropriate plugin based on task type or protocol.

Evidence

Respan, an open‑source AI gateway written in Rust, is one of the more architecturally honest answers to this problem I've seen this year.

Source

The core binary stays thin. You load what you need.

Source

If your team doesn't have Rust experience and you need to write custom plugins, you're looking at a learning investment before you ship anything.

Source