State Machines for LLM Agents: Stop Loops and Bad Tool Calls in Python
State machines give agents reliable control — implement bounded loops, ordered tool calls, retries, and safety gates using LangGraph and Python.
Build a tiny guarded agent that prevents runaway loops, enforces tool order, limits retries, and produces an auditable log to reduce token waste and unsafe actions.
Hands-on examples use LangGraph/StateGraph patterns and plain Python to keep workflows deterministic, debuggable, and low-overhead.
Subscribe for concise AI engineering and LLM systems tutorials to apply these patterns in real integrations.
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