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Go LLM Agent Loop: ReAct Pattern with Guardrails and Cost Control

By PulseAugur Editorial · [1 sources] ·

This article details how to build a robust LLM agent loop in Go, focusing on the ReAct (reason, act, observe) pattern. It emphasizes creating a provider-agnostic interface for chat models and a typed tool registry to manage plug-in tools. The core of the implementation involves a loop with explicit guardrails, including limits on steps, total tokens, repeated tool calls, and overall runtime, to ensure controlled and cost-effective agent execution. AI

IMPACT Provides a reusable framework for developers building LLM agents in Go, enhancing control and cost management.

RANK_REASON The article describes a technical implementation for building LLM agent loops, which is a tool or framework development.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Go LLM Agent Loop: ReAct Pattern with Guardrails and Cost Control

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50 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
The article describes a technical implementation for building LLM agent loops, which is a tool or framework development.
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
product, infra
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High
Clearly on-topic for AI-industry coverage.
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Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

Full methodology in our editorial standards.

COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Pradip Parmar ·

    LLM Tool Calling in Go: A ReAct-Style Agent Loop with Guardrails and Cost Control

    <p>Most of my agent projects in Go share one piece of code: the loop. The model looks at the conversation, decides to call a tool or answer, the program runs the tool, feeds the result back, and repeats. That's the ReAct pattern (reason, act, observe) in its practical form.</p> <…

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