Shift Note: Relay Requests In, Model Answers Out

The relay desk receives requests, not ownership of the job

An API relay sits between your application and a model service. Your application sends a request to the relay, the relay forwards it along a supported route, and the response comes back through that same middle layer. Think of a dispatch desk: it handles the handoff, but it does not become the specialist doing the work.

That distinction matters when you configure a coding assistant, investigate an error, or decide where sensitive information may travel. A relay can simplify access to several model families, but it does not automatically control everything on either side of the connection.

A request passes through several separate desks

Suppose your application asks Claude Haiku 4.5 to summarize a document. Your application assembles the instructions and document text. It sends them to the configured API address with credentials and a model identifier. The relay checks the request against its access rules and forwards it through an available, supported route.

The model service performs inference: it processes the input and generates output. The relay then passes the result back, sometimes as a complete response and sometimes as a stream of smaller pieces. Depending on its implementation, a relay may also translate request formats, record usage, or return errors from different parts of the journey.

• Your application decides what information to send and what to do with the answer.
• The relay handles the connection and routing functions it supports.
• The model service generates the answer using its deployed model.

Model weights and answer quality stay outside relay control

A relay does not train or edit a model’s weights merely by forwarding a request. It cannot make a model know facts it does not know, eliminate hallucinations, or guarantee that generated code is correct. Changing the route is not the same thing as changing the underlying model.

A relay may affect the experience through supported parameters, format conversion, timeouts, and routing choices. Those details deserve testing. If an answer looks wrong, check the selected model, instructions, supplied context, and any request transformations before assuming that the middle layer caused the problem.

Local files stay local until a client sends them

Configuring a relay URL does not, by itself, grant the relay access to your whole computer, repository, terminal, or browser. A coding client may read files or run commands under its own permissions. The relay receives whatever that client includes in an API request.

This boundary is not a privacy guarantee. If the client sends source code, credentials, documents, or tool output, that material enters the request path. Do not assume that a relay cannot see request content, or that it never stores it. Review the relay’s and upstream service’s data-handling terms before sending sensitive material.

Likewise, a model suggesting a shell command does not mean the relay executed it. Tool execution and approval usually belong to the client or application hosting the tools. Keep those permissions narrow and review consequential actions.

Relay365 fits the shared-access part of the shift

Relay365 is a pay-as-you-go relay desk for multiple model families. It is worth considering when you want a shared access point rather than separate integrations for every supported service. It works with Claude Code, Codex, Gemini CLI, and OpenAI SDK clients.

Its API base is https://api.api365relay.com; OpenAI clients add /v1. You still need to configure credentials and select a supported model identifier. A familiar SDK interface does not mean every provider-specific feature behaves identically, so test the features your application needs.

Close the shift with a small, observable test

If that shared-access setup matches your needs, create a Relay365 account and begin with a small, non-sensitive request. Confirm the model selection, response format, usage reporting, and error behavior before connecting a larger workflow.

When something fails, separate the possible sources: client configuration, relay authentication or routing, upstream availability, and model output. The relay’s job is the handoff. Reliable operation starts with knowing which desk owns the next action.