1. Prepare account and access
Sign in to the Copent Ai console to review account options, the currently supported model list, usage information, and the credentials required by your application. The exact setup flow should always be confirmed against the live console and documentation because model availability and platform controls can change.
2. Connect the application to the gateway
Your application sends supported API requests to the Copent Ai gateway instead of maintaining a separate integration layer for every model relationship. The request includes the model identifier and the application payload defined by the supported API interface.
Core integration principle
Keep provider-specific concerns at the gateway boundary and keep your application focused on product behavior, user experience, and business logic.
3. Manage the integration over time
- Review supported models and account options before each production release.
- Keep credentials outside source control and rotate them when required.
- Record request failures and response behavior in your own application telemetry.
- Use the console for account-level operational workflows.
Design checks before production
- Confirm request and response formats against the current documentation.
- Test supported model identifiers and error cases with non-production data.
- Define timeout, retry, and fallback behavior in the application.
- Review pricing and usage controls for the expected production volume.
- Verify that privacy, data handling, and compliance requirements match the intended use case.
Where to continue
For the broader concept, read What is an AI API gateway? For common platform questions, visit the Copent Ai FAQ.