Answer first: OpenAI’s developer documentation separates agent definitions, tool/data connections, orchestration, guardrails, observability and evaluation.
What this page establishes
An API workflow is distinct from a ChatGPT or coding-product experience; account, deployment and tool permissions remain implementation-specific.
What it does not establish
No production reliability, safety or cost conclusion is claimed without a controlled implementation.
FAQ
Is this a recommendation?
No. This is source-bound editorial context; selection needs a task, account, data, permission, cost and human-review boundary.
What should be tested before adoption?
Use a disposable or approved environment, record product/version/account, define allowed tools and data, inspect diffs and logs, and keep a human approval step.
Sources, testing and correction
Primary source: https://learn.chatgpt.com/docs.
Testing limit: Kingy has not created an account, connected a repository, submitted code, run a model, benchmarked output, or tested security.
Correction: replace only the affected claim with dated primary evidence; retain the prior source and correction note.