Topic
ReAct & Reasoning-Action Loops
12 posts on react & reasoning-action loops — part of ai agents & automation on the n4n AI blog.
Why ReAct agents get stuck in loops (and how to stop it)
Analyzes why a ReAct agent stuck in loop occurs—from ambiguous observations to model repetition—and gives engineers concrete guardrails to break cycles.
ReAct vs ReWOO: reasoning without observation
A practical engineer's comparison of ReAct vs ReWOO across capabilities, cost, latency, ergonomics, and limits, with a clear verdict per use case.
ReAct vs plan-and-execute agents compared
A practitioner's head-to-head comparison of ReAct vs plan-and-execute agent architectures across cost, latency, ergonomics, and failure modes, with a verdict.
ReAct agents in production: lessons from real deployments
Practical analysis of ReAct agents in production: loop guardrails, tool schema validation, context limits, and when the pattern beats fixed pipelines.
How to add memory to a ReAct reasoning loop
Learn how to add ReAct agent memory to a reasoning-action loop with practical steps, code samples, and verification tips for production LLM agents.
How many reasoning steps should a ReAct agent take
Analysis of how many ReAct agent reasoning steps to use, with tradeoffs between latency, cost, and accuracy, plus concrete code for loop control.
Debugging a ReAct agent that won't stop reasoning
Step-by-step guide to debug ReAct agent infinite loop: capture trajectories, fix parsers, cap iterations, validate tools, and verify termination in prod.
What is the ReAct pattern for LLM agents
ReAct pattern LLM agents interleave reasoning and tool actions. This explainer covers the loop, code, benefits, and myths for engineers building agentic systems.
ReAct vs Chain-of-Thought: what's the difference
Engineer-focused head-to-head of ReAct vs chain-of-thought: capabilities, token cost, latency, ergonomics, ecosystem, limits, and a clear verdict by use case.
ReAct prompting: a practical guide with examples
Practical ReAct prompting guide for engineers: design reasoning-action loops, parse model outputs, integrate tools, avoid failures, with code.
How to implement a ReAct loop from scratch
A hands-on tutorial to implement ReAct loop from scratch: build a reasoning-action agent with tool calling using Python and an OpenAI-compatible LLM step by step.
Building a ReAct agent with GPT-4o and function calling
Hands-on tutorial to build ReAct agent GPT-4o with function calling: define tools, implement the reasoning-action loop, and inspect expected output.
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