Dynamic Model Router for Tau

Runtime LLM routing engine for the Tau coding agent.

Architected a runtime LLM routing engine for the Tau coding agent that dynamically selects models based on task complexity, context-window requirements, latency, cost, and model capabilities through configurable routing policies.

  • Modular routing layer with session-aware model switching, fallback handling, and observability hooks.
  • Lets Tau run configurable multi-model execution without coupling routing logic to the core agent loop.

Tech Stack

  • Python, LLM APIs, agent frameworks