Loops & Reasoning

9 pages in this section.

Inside the Agent Loop: Perceive, Reason, Act, Observe

Explore the agent loop's perceive, reason, act, and observe phases. Understand how these steps drive agent behavior and diagnose common failures.

Python Agent Loops Reasoning Explainer Agent Loop

Agent Loop Basics

Learn agent loop basics with Python examples. Explore perceive, reason, act, observe rhythms, tool calls, multi-step loops, and stop rules.

Python Agent Loops Reasoning Basics Agent

Reasoning Traces: How Agents "Think" Before Acting

Learn how reasoning traces, like chain-of-thought, guide agent decisions. Understand their impact on quality, cost, and debuggability in AI systems.

Python Agent Loops Reasoning Explainer Reasoning

Stopping Conditions: How an Agent Knows When It's Done

Learn how to implement robust stopping conditions for agent loops, covering max turns, timeouts, cost budgets, and goal checks to prevent runaway agents and optimize

Python Agent Loops Reasoning Explainer Stopping Conditions

Single-Turn vs Multi-Turn vs Long-Running Agents

Python Agent Loops Reasoning List Cheatsheet

Why Agents Loop Forever: Debugging Runaway Agent Behavior

Python Agent Loops Reasoning Advanced Debugging

Planning vs Reacting: Two Philosophies for Agent Decision-Making

Python Agent Loops Reasoning Explainer Advanced

How Context Shapes Every Decision an Agent Makes

Understand how the context window dictates agent behavior. Learn to manage system rules, tools, and prior messages to control agent decisions.

Python Agent Loops Reasoning Explainer Context

Agent Loop Best Practices

Learn ten best practices for agent loops, covering control plane, decision quality, and operations to keep them bounded, observable, and predictable.

Python Agent Loops Reasoning Best Practices List

Loops & Reasoning

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Loops & Reasoning