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openai · OpenAI Platform Docs

API deployment checklist

A guide for optimizing API deployments by configuring parameters such as reasoning effort, text verbosity, assistant phase labels, and tool usage to balance quality, cost, and latency.

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Viewing SKILL.md

API deployment checklist

A guide for optimizing API deployments by configuring parameters such as reasoning effort, text verbosity, assistant phase labels, and tool usage to balance quality, cost, and latency.

When To Use

Use when you need to optimize an AI application's latency, cost, or response quality by selecting the correct model parameters and deployment configurations.

Reference Files

FileContainsUse For
SKILL.mdEntry point: scope, routing table, and workflow.Start here.
docs/api-deployment-checklist-workflow-guide.mdA markdown guide outlining best practices for API deployment, including Responses API usage and parameter configurations for reasoning and verbosity.Questions about a markdown guide outlining best practices for API deployment, including Responses API usage and parameter configurati...

What This Skill Covers

  • | Contents | Expected impact | | ------------------------------------------------------------------------------- | ----------------------------------- | | Us...
  • Main sections: Use the Responses API, Set up reasoning.effort, Set up text.verbosity, Set up the assistant phase parameter, Use toolsearch.

Workflow

  1. Open the most relevant file under docs/ for the exact documented workflow and wording.
  2. Open schemas/ files for exact structured contracts.
  3. Open examples/ files for concrete requests, commands, snippets, and manifests.
  4. Do not add behavior or configuration that is not present in the attached source files.

Canonical source: https://developers.openai.com/api/docs/guides/deployment-checklist.md