Orchestrating Autonomous AI Agents: LangGraph, Temporal & Durable State Machines

Unlike linear chains, cyclical graphs allow AI agents to reflect on tool outputs, correct errors, and loop through validation steps before emitting final responses.

Wrapping AI agent executions inside Temporal workflows ensures that transient network timeouts, rate limits, or server restarts resume seamlessly without lost state.

Decompose complex enterprise tasks into specialized agents (e.g., Researcher, Critic, Coder) coordinated by a supervisor agent with strict structured contracts.

Monitor latency, token consumption, and agent reasoning traces with OpenInference to prevent runaway recursive loops and optimize operational expenditure.