SilkRouter OpenAI SDK Setup: JS and Python

OpenAI-compatible setup

SilkRouter is designed to fit the OpenAI-compatible SDK pattern many teams already use. The main change is the API base URL. Your app still sends a model ID, messages, and normal request options from server-side code.

Keep provider keys out of the browser. Create a SilkRouter key for the workflow, store it as an environment variable, and route calls through your backend so usage, balance, and errors stay auditable.

• Set the SDK base URL to the SilkRouter API endpoint.
• Use a SilkRouter API key, not a provider key, for routed calls.
• Keep model IDs explicit in code or configuration.
• Log request status, model, token usage, and customer-safe cost fields.

JavaScript and Python

In JavaScript, initialize the OpenAI client on the server with the SilkRouter base URL and API key. In Python, use the same pattern with the Python client. The goal is to avoid provider-specific branches until a workflow truly needs them.

Start with one low-risk prompt. Confirm response parsing, usage fields, timeout behavior, and error shape before moving high-volume traffic.

Production checks

SDK compatibility is only the first check. Production readiness also requires stable retries, low-balance handling, unsupported-model handling, and clear monitoring for failed calls.

If a response field is missing or shaped differently than expected, fix the adapter at the routing boundary. Do not let every feature implement its own parsing workaround.

• Test invalid key, low balance, unsupported model, timeout, and provider failure.
• Separate development, staging, and production API keys.
• Cap output tokens on every user-triggered workflow.
• Rotate keys when a project, client, or environment is retired.