Shift Note: Relay Handoffs and Off-Limits Controls

A relay sits between your application and an upstream model service. Its job is to handle the API handoff, not to become the model or take ownership of your application. Follow the request through these seven checkpoints to see where a relay helps, where its responsibility ends, and which controls remain on your desk.

The client points at the relay desk

1. Your application sends its request to the relay endpoint instead of directly to a model provider. For Relay365, the API base is https://api.api365relay.com; OpenAI clients add /v1. Configure the appropriate relay credential and requested model in your client, keeping secrets outside source control and browser-delivered code.

Relay365 is a pay-as-you-go relay desk for multiple model families. It works with Claude Code, Codex, Gemini CLI, and any OpenAI SDK. That makes it a practical option when you want a shared access point across tools, although individual model features still need compatibility checks.

The relay handles the access handoff

2. At the relay boundary, the service handles access to its endpoint and routes supported requests toward the relevant upstream service. Depending on the implementation, a relay may also translate request fields, normalize responses, or account for usage. Do not assume every relay performs those jobs identically.

For example, you might request Claude Haiku 4.5 for one task and Gemini 2.5 Flash for another. A shared endpoint can simplify client configuration. It does not make the models interchangeable: accepted parameters, tool behavior, context limits, and output characteristics can still differ.

The upstream model still performs inference

3. The request reaches the upstream model service, where inference happens. The relay does not train the model for that request, rewrite its weights, or own the provider’s inference infrastructure. Routing a request is not the same as controlling the engine that generates the answer.

This boundary matters during troubleshooting. A relay cannot promise that an upstream model will reason correctly, follow every instruction, or produce an identical answer on another attempt. Your application still needs output validation and an appropriate response when the answer is incomplete or unsuitable.

The response returns through a compatibility boundary

4. The relay returns the upstream result through the interface your client expects. Check more than whether plain text arrives. Streaming events, tool-call arguments, structured outputs, finish reasons, and error bodies are all places where compatibility matters.

Keep a small integration test for the features your workflow actually uses. An OpenAI-compatible endpoint is useful, but compatibility should not be read as a promise that every provider-specific capability has an exact equivalent.

Your application keeps its authorization keys

5. Your application decides what the returned content is allowed to do. A model-generated tool call is a proposed action, not permission to execute it. The relay does not replace your user authorization checks, database permissions, spending controls, or approval process for destructive operations.

The same separation applies to data handling. A relay may process request and response content in transit; it is not outside the data path. Review its documented retention, logging, and upstream handling practices before sending sensitive material. Do not infer privacy guarantees from the word “relay.”

Failures need a record at each boundary

6. When a request fails, identify the boundary before changing configuration. A rejected credential, unsupported parameter, upstream capacity problem, and local timeout require different remedies. Record timestamps, available request identifiers, model names, status codes, and sanitized error messages without copying secrets into logs.

Use bounded retries where appropriate, and account for possible duplicate work or charges after uncertain outcomes. A relay can help expose or investigate a failed handoff; it cannot make every upstream failure disappear.

The desk closes with ownership still assigned

7. Choose Relay365 when consolidated, pay-as-you-go model access fits your workflow, then create an account and test one representative request before expanding usage. Members can also earn a referral bounty when people they invite pay, but that is separate from the technical evaluation.

The final ownership map stays simple: the relay handles the handoff, the upstream service runs the model, and your application owns permissions, validation, and consequences.