CometAPI

Mar 19, 2026

GPT-5.4 in Openclaw Guide: Benfits, Configuration & Best Practice

OpenClaw’s recent release adds first-class, forward-compatible support for OpenAI’s GPT-5.4 and introduces a “memory hot-swappable” architecture that lets OpenClaw agents change which model and which memory store are active at runtime with minimal disruption. This unlocks large-context workflows (GPT-5.4’s expanded context windows), on-the-fly model specialization, and cost/latency optimizations for production agents. The upgrade is available in OpenClaw’s releases and accompanying docs; the examples below show practical configuration, code snippets, benchmark context, and recommended best practices.

How to Use GPT-5.4 API: Parameters and Tools Usage Guide

GPT-5.4 is OpenAI’s new frontier model tuned for complex professional work: large context (≈1.05M tokens), built-in computer-use + improved tooling (deferred tool loading / tool_search), new reasoning controls, and a high-compute “Pro” variant for tougher problems. This guide explains what GPT-5.4 is, key improvements, how to call it from the Responses API (examples in Python and JavaScript), parameter controls (reasoning.effort, text.verbosity, tooling flags), how to safely use tools (including the “computer use” tool)

OpenAI Releases GPT-5.4 Series: what GPT-5.4 changes

GPT-5.4, arrives as a targeted “professional work” model family with two primary variants — GPT-5.4 Thinking and GPT-5.4 Pro — and a heavy emphasis on long-context document work, native computer-use (agent) capabilities, and improved factuality and task performance across office, legal and finance workflows. The release follows earlier updates in the GPT-5 line (notably GPT-5.3 Instant and GPT-5.3-Codex) and brings measurable improvements on internal and public benchmarks, deeper tool integration (including a ChatGPT for Excel plug-in), and a larger supported context ( cites up to 1 million tokens).