Shift Note: Six Checks Before Routing AI Traffic

The handoff starts with a small test

An AI relay sits between your application and the models it calls. Instead of maintaining a separate connection for every provider, you send requests through a shared entry point. That can simplify setup and billing, but it also adds another service to your request path.

Evaluate that service like any other dependency: check whether it supports your workload, understand its failure modes, and confirm what you will pay. A long model list is useful, but it is not proof that your application will work correctly.

A six-check scorecard for the first trial

Give each check zero points when the answer is missing or unacceptable, one when it is documented but not yet tested, and two when your own trial confirms it. Keep the evidence beside the score. These points organize a decision; they are not a reliability rating.

• Check whether your client and required API features work through the relay.
• Check whether the intended model is available and its identity is clear.
• Check whether a representative request produces an understandable charge.
• Check whether delays, failures, and retries remain manageable.
• Check whether data handling and credential controls meet your requirements.
• Check whether support and usage records let you investigate a problem.

Do not let a high total override a blocker. Unacceptable data retention, missing functionality, or unexplained billing can each justify stopping the trial.

Confirm the request survives the new route

Start with one request that already works in your application. Repeat it through the relay, then test the features you actually depend on: streaming, tool calls, structured output, image input, or long conversations. Compatibility with a client does not automatically mean every feature behaves identically.

For example, if your workload uses Claude Haiku 4.5, confirm the exact model identifier and test your normal prompt format. Ask whether the relay ever substitutes another model and whether you can disable that behavior. A similar-looking response is not enough to establish model identity.

Measure the bill with your own workload

Run a small batch of realistic requests, including short answers and longer outputs. Compare the usage reported in responses with the account’s usage records and balance changes. Ask about input and output pricing, cached input, failed requests, retries, and any relay fees.

Pay-as-you-go billing can suit exploratory work, but it still needs a spending boundary. Look for budget controls or alerts, and set limits in your application where necessary. Do not assume that a deposited balance replaces request-level cost controls.

Record failures before increasing traffic

Measure time to the first streamed output and time to completion separately. Test at the concurrency you expect to use, within the service’s published limits. Record errors as well as successful responses; an average response time alone can hide requests that stall or fail.

Check what happens after a timeout. Can you identify the request, determine whether it was charged, and retry safely? Repeating a model request may also repeat downstream tool actions unless your application prevents it. Keep retries bounded and avoid creating a surge during an outage.

Ask where prompts and credentials go

Before sending sensitive material, establish which organizations process it, what gets logged, how long records remain, and whether deletion is available. Verify these answers in applicable documentation or agreements rather than inferring them from marketing language.

Check key rotation, revocation, and access separation. Keep relay credentials out of source control, and remove secrets and personal information from support examples. If your organization requires specific contractual protections, treat those as entry requirements.

Place Relay365 on the trial roster where it fits

Relay365 is a reasonable candidate when you want pay-as-you-go access across multiple model families through one relay desk. It works with Claude Code, Codex, Gemini CLI, and OpenAI SDK clients. Its API base is https://api.api365relay.com; OpenAI clients add /v1. Still test the features your particular client uses.

If that setup matches your needs, create a Relay365 account and run the scorecard with a small, non-sensitive workload. Members can also earn a referral bounty when invited people pay, but keep that incentive separate from the technical assessment.

At handoff, leave a short record: tested features, observed costs, unresolved questions, and conditions for expanding traffic. That record is more useful than an unsupported claim that a relay is production-ready.