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OpenAIDeprecation

v1/prompts, Evals platform, Agent Builder

Deprecation, announced 3 June 2026. Plan a migration: List every place that loads a prompt by id from v1/prompts or runs a job on the Evals platform, and put the move into application code or another runner on the calendar before October 31, 2026.

What OpenAI says changed

OpenAI announced the deprecation of reusable prompt objects, the Evals platform and Agent Builder. The v1/prompts API and reusable prompt objects, the Evals dashboard and API, and Agent Builder are scheduled to shut down on November 30, 2026, and existing evals become read only on October 31, 2026. OpenAI says to move reusable prompt content into your application code, and points to the Agents SDK, ChatGPT Workspace Agents and Promptfoo.

OpenAI: Deprecations

announced 2026-06-03 . verified 2026-09-22

This section restates the provider. It adds no judgement the provider did not make, and it contains no measurement of ours.

Entry

Provider
OpenAI
Models
v1/prompts, Evals platform, Agent Builder
Change type
Deprecation
Announced
2026-06-03
Verified
2026-09-22

What this kind of change typically touches

No impact note on this entry. A note is published only where a cited practitioner source supports it, and for this change we have none. The entry stands on the provider's announcement alone.

What to do this week

Plan a migration

List every place that loads a prompt by id from v1/prompts or runs a job on the Evals platform, and put the move into application code or another runner on the calendar before October 31, 2026.

If you are on a plan

A tracked provider update triggers a rerun of your suite within 2 business days of the announcement, and you get a written verdict. That is one of the six guarantees on every plan.

Other OpenAI changes

OpenAINew version

gpt-6-astra

OpenAI released GPT-6 Astra, which it describes as its most capable model for end to end work, covering reasoning, coding, computer use and tools. It is available in the Responses API and the Chat Completions API.

Rerun the suiteAdd gpt-6-astra as a second model in your next scheduled suite run alongside the one you serve today, and read the differences before changing any default.

Source: OpenAI, OpenAI API changelog . verified 2026-09-22

OpenAITool change

slow_down, server_is_overloaded

OpenAI wrote that a rapid increase in traffic can now return a 429 error with the slow_down code, and that temporary overload can return a 503 error with the server_is_overloaded code.

Rerun the suiteCheck that your client and your eval harness treat these two codes as a signal to back off rather than as failures, then run a batch large enough to exercise that path.

Source: OpenAI, API changelog . verified 2026-09-22

OpenAIDeprecation

whisper-1, gpt-4o-transcribe, gpt-4o-mini-transcribe, gpt-4o-transcribe-diarize

OpenAI announced on August 26, 2026 that whisper-1, gpt-4o-transcribe, gpt-4o-mini-transcribe and gpt-4o-transcribe-diarize are scheduled to shut down on February 26, 2027. The recommended replacements are gpt-live-transcribe and gpt-transcribe.

Plan a migrationFind every call to one of the four ids, run a held out set of recordings through gpt-transcribe or gpt-live-transcribe, and keep both transcripts so the step after them can be compared before February 26, 2027.

Source: OpenAI, Deprecations . verified 2026-09-22

Questions

How do I know this is accurate?
The entry links to OpenAI's own page, and the date we read it is on this page. If the provider's page and this page disagree, the provider's page is right and we want to hear about it.
Does this mean my feature broke?
No. It means a thing your feature depends on changed. Whether anything about your output changed is a question only a rerun against your own dataset can answer, and that is what the recommended action is for.
Why is there no score or benchmark here?
Because we publish none. This site restates provider announcements and cites published practitioner guides. Any measurement we make belongs to the customer whose dataset produced it.

Sources

Change-log entries restate provider announcements with sources and dates. Impact notes cite public practitioner reports. The site publishes no measurements of its own on any model.