<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Temperature on Agent Zone</title><link>https://agent-zone.ai/tags/temperature/</link><description>Recent content in Temperature on Agent Zone</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Mon, 25 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://agent-zone.ai/tags/temperature/index.xml" rel="self" type="application/rss+xml"/><item><title>Tuning Local LLMs for Agentic Coding: Sampling, Reasoning, and Budgets</title><link>https://agent-zone.ai/knowledge/agent-tooling/tuning-local-llms-sampling-reasoning-budgets/</link><pubDate>Mon, 25 May 2026 00:00:00 +0000</pubDate><guid>https://agent-zone.ai/knowledge/agent-tooling/tuning-local-llms-sampling-reasoning-budgets/</guid><description>&lt;blockquote class='book-hint '&gt;
&lt;p&gt;&lt;strong&gt;Decision-first:&lt;/strong&gt; Per new model, sweep temperature (don&amp;rsquo;t assume 0.3), try reasoning &lt;strong&gt;off&lt;/strong&gt; for builders, test &lt;code&gt;echo_reasoning&lt;/code&gt; &lt;strong&gt;both ways&lt;/strong&gt;, and on &lt;code&gt;budget_exceeded&lt;/code&gt; check turns-vs-tokens before changing either. The right config is model-specific — assume nothing.&lt;/p&gt;
&lt;/blockquote&gt;&lt;blockquote class='book-hint '&gt;
&lt;p&gt;&lt;strong&gt;Scope &amp;amp; freshness:&lt;/strong&gt; Local + cloud models for agentic coding, 2026-05. Findings are per-model (see the specific models named); treat them as examples of &lt;em&gt;shape&lt;/em&gt;, not universal constants — re-sweep for any new model.&lt;/p&gt;</description></item></channel></rss>