Separate API Keys Without Operational Chaos

A shared API key is convenient until an experimental script consumes production capacity, a contractor leaves, or a credential appears in a public repository. Separate keys make those incidents easier to contain and investigate. The goal is straightforward: every credential should have a clear owner, a narrow purpose, and a predictable replacement process.

1. Define your project boundaries

Start with independently operated workloads, not individual repositories. A customer-facing application, an internal reporting pipeline, and a disposable prototype usually deserve separate credentials because their owners, deployment schedules, and failure consequences differ. Several repositories serving one application might share a project boundary, but that does not automatically mean they should share one credential.

Within each project, separate production from development and staging. Otherwise, a developer testing a retry loop can generate traffic under the same identity as paying customers. Add more boundaries only when they provide useful isolation, such as distinguishing interactive application requests from scheduled background jobs.

2. Give every credential an owner and purpose

Maintain a small credential inventory containing the project, environment, workload, responsible team, creation date, and rotation procedure. Record a platform-provided key identifier when available, but never copy the complete secret into the inventory. Use labels such as billing-service-production-worker so an unfamiliar engineer can understand the credential without tracing deployment files.

• Owner: The team responsible for responding to misuse or authentication failures.
• Consumer: The service, automation job, or developer workflow using the key.
• Storage: The secret manager entry or deployment secret containing the credential.
• Recovery: The runbook for replacing the key and verifying service health.

3. Inject secrets at runtime

Keep API keys out of source code, container images, shared documents, and frontend bundles. Store deployed credentials in your secret manager or deployment platform, and inject them only into workloads that need them. A separate key offers little protection if every service account can read every secret.

For local work, use a development-only credential. If you use a local environment file, exclude it from version control before adding secrets and restrict access appropriately. Committing an example configuration with placeholder values is useful; committing a working key and deleting it later is not remediation. Treat a committed secret as exposed and replace it.

4. Make project selection explicit

Use the same configuration contract across projects, but supply different values through each project's runtime environment. For an OpenAI SDK integration, explicitly configure the client's API key and base URL rather than relying on whichever credential your shell happens to contain. CodeRelay Hub uses https://api.coderelayhub.com as its API base; endpoint configuration and credential selection remain separate concerns.

For terminal tools, check the tool's documented configuration precedence before switching projects. A global shell variable or user-level configuration can silently override your intended setup. Prefer project-scoped launch configuration that supplies the correct credential without embedding its value in tracked files. Never paste secrets into command arguments that could enter shell history or process listings.

5. Apply controls and preserve attribution

Where your API platform supports them, configure credential-level permissions, model restrictions, rate limits, and spending limits. Do not assume separate keys automatically create separate budgets or capacity pools. Confirm which controls apply per key, per project, or across the entire account.

Include project, environment, and workload identifiers in your application's usage records. Record request identifiers and operational errors, but redact authorization headers and secrets. These records help distinguish a production traffic increase from a prototype's retry storm even when both use the same endpoint.

6. Rotate without guessing

When overlapping credentials are supported, create a replacement, update the intended secret entry, and redeploy or restart consumers as required. Run a small authenticated smoke test, then verify normal requests succeed. Revoke the old key only after confirming consumers have switched. If overlap is unavailable, schedule the change and document the expected interruption.

7. Test the boundary and retire unused keys

Verify separation in a nonproduction environment by revoking a disposable test credential and checking that an independently configured workload still authenticates. Review the inventory when projects close, workloads migrate, or team ownership changes. Delete unused credentials rather than leaving them available indefinitely.

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