The Engineering Guide to Long-Horizon Agents in Production

This guide covers the runtime primitives your team needs to build long-horizon agents that are reliable, observable, and production-grade.

Deep agents architecture diagram

Ship long-horizon agents that hold up in production

Long-horizon agents need more than a model and a set of tools. They need runtime primitives that make complex work reliable, observable, and production-grade. This guide breaks down the engineering patterns behind agents that can manage longer tasks, recover from interruptions, and give teams the visibility they need to understand what happened and why.

What's inside

  • The runtime primitives that matter: Checkpointing, interrupts, and streaming patterns that help long-horizon agents run reliably
  • Human-in-the-loop control: Where approval gates and intervention points fit when agents need review or correction
  • Observability from day one: Tracing and evaluation patterns that help teams debug agent behavior and improve performance
  • Architecture patterns for production: How teams structure agent systems that can handle complex, real-world workloads

Download the guide to learn the infrastructure patterns behind reliable, production-grade long-horizon agents.

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