The correct option is A Copilot proxy screens your input before forwarding it to the model and the output is returned after passing final content filters. This matches how Copilot extensions send prompts to the GitHub service which intermediates the request and applies checks before and after the model generates a completion.

Copilot does not send prompts straight from the editor to a model. The service layer receives your prompt, enforces configured policies, and prepares the request for the model. After the model returns a result, Copilot applies content and safety filters which include checks that can block unsafe or unwanted output and features like filtering suggestions that match public code. Only then does the suggestion stream back to your editor.

Your IDE publishes the prompt to Cloud Pub/Sub then a Cloud Function calls a model and streams the result back to the editor is not accurate because these are Google Cloud services and they are not part of Copilot’s architecture. Copilot uses its own managed service rather than Pub/Sub or Cloud Functions.

The editor sends your prompt directly to a language model and the reply is returned with no additional processing is incorrect because Copilot relies on its service as a proxy. Input screening and output filtering are built into the product, so suggestions are not returned without processing.

Your request is stored in a database and the model queries that database to produce suggestions is wrong because Copilot generates completions from the model using your prompt and context. It does not retrieve answers by querying a database of stored requests to compose suggestions.

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