openai · OpenAI Platform Docs

Production best practices | OpenAI API

Provides strategic guidance and operational patterns for deploying OpenAI API applications in production, covering reliability, cost management, monitoring, and security.

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Derived skill

Files assembled from official documentation

Viewing SKILL.md

Production best practices | OpenAI API

Provides strategic guidance and operational patterns for deploying OpenAI API applications in production, covering reliability, cost management, monitoring, and security.

When To Use

Use when designing or optimizing the architecture of an LLM-powered application to ensure it is scalable, cost-effective, and resilient to production failures.

Reference Files

File	Contains	Use For
`SKILL.md`	Entry point: scope, routing table, and workflow.	Start here.
`docs/production-best-practices-openai-api-workflow-guide.md`	A guide outlining best practices for transitioning from prototype to production, including organization setup, billing management, API key security, and staging projects.	Questions about a guide outlining best practices for transitioning from prototype to production, including organization setup, billin...

What This Skill Covers

This guide provides a comprehensive set of best practices to help you transition from prototype to production. Whether you are a seasoned machine learning en...
Main sections: Setting up your organization, Managing billing limits, API keys, Staging projects, Scaling your solution architecture.

Workflow

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

Canonical source: https://developers.openai.com/api/docs/guides/production-best-practices