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Integration

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OpenAI

Put OpenAI models behind the Hyperpriors control plane: harnessed calls, evaluation gates, runtime guardrails, and complete telemetry.

Request access to connect

Connections are provisioned in private beta — not authorised from this page.

01 — Permissions

When connected, Hyperpriors is limited to the following — declared up front, revocable at any time. Scope is granted during provisioning, not by a button on this page.

  • 01

    Route agent requests to OpenAI models through the Hyperpriors harness, with retries and fallbacks

  • 02

    Run evaluation suites against specific OpenAI models and snapshots

  • 03

    Enforce guardrail policies on OpenAI inputs and outputs at runtime

  • 04

    Record traces, token usage, cost, and latency for every OpenAI call

02 — Details

Built by
OpenAI
Website
openai.com (opens in new tab)
Category
Model provider
Docs
platform.openai.com/docs (opens in new tab)

03 — Notes

About OpenAI

OpenAI develops the GPT family of large language models and a line of reasoning models, served through the OpenAI API. The platform supports function calling, structured outputs, vision, and streaming, and pins model behaviour to dated snapshots so applications can target a specific version. It is one of the most widely deployed model platforms in production software, which makes disciplined operation around it a practical necessity rather than a nice-to-have.

What the integration does

Hyperpriors sits between your agents and the OpenAI API. The harness structures each call — tool definitions, retries, timeouts, and fallback routes to alternative models or providers — so provider behaviour is something you configure once rather than re-implement per service.

Evaluation suites target specific OpenAI models and snapshots. When a snapshot is deprecated or a new model ships, you rerun the same suites and compare results side by side before changing anything in production. Guardrails inspect prompts and completions at runtime, enforcing policy without touching application code. Observability records every call with full trace context: which agent, which step, which tools, at what cost and latency.

The result is that switching or upgrading OpenAI models becomes a reviewed, measured change — the same way you already treat changes to your own code.

Get started

Connect your OpenAI API credentials from the Hyperpriors dashboard, or contact us to talk through your deployment.