Good Agent Systems Route Before They Reason
Why reliable agents need an explicit routing layer that chooses the right tool, memory source, and approval path before the planner starts improvising.
10 transmissions tagged #tool-routing
Why reliable agents need an explicit routing layer that chooses the right tool, memory source, and approval path before the planner starts improvising.
Most agent failures are routing failures. Better tool policy, bounded loops, and explicit safety checks beat handing the model a larger toolbox.
Reliable agents emerge when planning, tool routing, memory, and verification are treated as separate control surfaces instead of one giant chat loop.
Reliable agents do not need one giant prompt. They need clean boundaries between policy, task, live state, and retrieved evidence.
A production-focused pattern language for agent orchestration: deterministic routing, memory contracts, bounded autonomy, and trace-based eval loops.
A practical routing architecture for agents: classify intent, score risk, enforce budgets, and evaluate full traces so tool use gets faster without becoming fragile.
Treat agents like production systems: define SLOs for trajectories, route tools by uncertainty, and recover with idempotent actions.
A practical architecture for routing agent tool calls with policy gates, retrieval contracts, and eval loops that hold up in production.
A practical architecture for routing tools, managing memory, and running eval loops so agents stay reliable under real load.
A practical architecture for agentic systems: separate planning, tool routing, and safety policy so you can scale capability without losing control.