GPT-5.2 Prompting Guide
by OpenAI
OpenAI's official playbook for prompting GPT-5.2 across reasoning effort, agentic workflows, and coding.
Overview
Posted December 11, 2025 in the OpenAI Cookbook, the GPT-5.2 Prompting Guide distills OpenAI's own experience applying the model to real tasks into concrete, copy-ready prompting patterns. It covers the reasoning_effort control (none, minimal, low, medium, high, xhigh) and when to dial it up or down for latency versus correctness, plus agentic-workflow patterns for scaffolding, verbosity control, user updates, and scope discipline. The guide addresses stronger instruction adherence and reduced drift from user intent, tool-calling optimization for multi-step workflows, cleaner structured/JSON output and coding results, and metaprompting templates that tackle scope drift, ambiguity handling, long-context recall, and hallucination mitigation. Its core message: small changes to prompt structure, verbosity constraints, and reasoning settings often translate into large gains in correctness, latency, and developer trust.
At a Glance
- Topic
- Models
- Level
- Intermediate
- Format
- Guide
- Cost
- Free
- Duration
- ~20 min read
- Provider
- OpenAI
- Hands-on
- Yes — code/exercises
- Certificate
- None
What You’ll Learn
- ✓Choose and tune GPT-5.2 reasoning_effort levels for the right latency/accuracy trade-off
- ✓Write prompts that keep an agent on-scope with controlled verbosity and user updates
- ✓Optimize tool calling and structured/JSON output for multi-step workflows
- ✓Apply metaprompting templates to reduce scope drift, ambiguity, and hallucination
- ✓Improve instruction following and coding results with GPT-5.2-specific patterns
Highlights
- •Official first-party guidance from the team that trained the model
- •Model-specific reasoning_effort and agentic-eagerness controls, not generic prompt tips
- •Ready-to-adapt prompt templates for common failure modes
Who It’s For
Best For
- ✓Developers building agents or apps on GPT-5.2
- ✓Engineers migrating prompts from earlier GPT models
- ✓Teams tuning latency, cost, and reliability of LLM calls
Prerequisites
- •Basic experience calling the OpenAI API
- •Familiarity with prompting and tool/function calling
FAQ
What is GPT-5.2 Prompting Guide?
OpenAI's official prompting guide for GPT-5.2, written for developers building agentic and enterprise workloads on the model. It explains how to tune reasoning effort, control verbosity and scope, and structure prompts for tool use, coding, and reliable instruction following.
Is GPT-5.2 Prompting Guide free?
GPT-5.2 Prompting Guide is free to access.
What level is GPT-5.2 Prompting Guide for?
GPT-5.2 Prompting Guide is aimed at a intermediate audience. Recommended background: Basic experience calling the OpenAI API, Familiarity with prompting and tool/function calling.
How long does GPT-5.2 Prompting Guide take?
Expect roughly ~20 min read. Most learners work through it at their own pace.
What will I learn from GPT-5.2 Prompting Guide?
You'll learn: Choose and tune GPT-5.2 reasoning_effort levels for the right latency/accuracy trade-off; Write prompts that keep an agent on-scope with controlled verbosity and user updates; Optimize tool calling and structured/JSON output for multi-step workflows; Apply metaprompting templates to reduce scope drift, ambiguity, and hallucination; Improve instruction following and coding results with GPT-5.2-specific patterns.