For a planned rotation, create a replacement key and make it available to consumers before revoking the old one. Switch or refresh the workers, confirm that real requests succeed with the new credential, and then revoke the old key. This overlap can prevent avoidable failures, but it does not guarantee zero downtime: the safe sequence depends on how your provider handles multiple keys and how each worker refreshes secrets.
Planned API-key rotation: the safe sequence
OpenAI’s API-key safety guidance recommends creating a replacement, updating applications, verifying it works, and revoking the old key afterward. Apply that sequence across every service that can make requests on an agent’s behalf—not just the main agent process.
- Map the consumers. Identify agent services, background workers, queued-job processors, scheduled tasks, tool connectors, and proxies that use the credential. For each, determine whether it reads the secret only at startup, fetches it for each request, or uses a refreshable provider. Note the expected behavior when authentication fails.
- Create a distinct replacement. Give it only the permissions the relevant workflow needs. Separate credentials make it easier to limit access and identify which integration still uses an old key. OpenAI’s production best practices recommend unique API keys, and its Terraform service-account procedure describes adding a replacement service account to an existing group so it can inherit the required role while the workload is migrated.
- Put the replacement in the approved secret system. Do not place the raw key in prompts, generated code, source control, container images, or logs. OpenAI’s agent security guidance warns that agent-generated code can access files, credentials, and network resources available to its environment. Where possible, keep long-lived application credentials outside that environment; for third-party calls, use a trusted proxy or application-side function to add the secret only for approved destinations.
- Make the new value reach running consumers. Use runtime secret retrieval, a credential callback, or a controlled rolling deployment. Changing a value in a secret store does not necessarily change a process that read it once at startup. The OpenAI Node SDK supports an asynchronous API-key function called before request attempts. AWS describes runtime retrieval through its Secrets Manager workload credentials provider as a way to rotate credentials without changing and redeploying application clients.
- Allow for refresh delays and caches. A worker or provider may continue using a cached old value after the secret store has changed. AWS documents a default 300-second refresh TTL for its workload credentials provider; that setting is specific to the provider, can be modified, and is not a general rule for other secret systems. Set the overlap to cover the slowest refresh or deployment path, or trigger a supported refresh.
- Verify the replacement with real work. Have each relevant worker pool make a representative authorized request using the replacement. Check provider or application telemetry and confirm that queued jobs, tool calls, and downstream integrations are succeeding—not merely that the secret was saved. OpenAI’s Terraform procedure includes deploying and verifying the replacement workload before removing the old account.
- Revoke the old key and watch for stragglers. Once consumers are confirmed on the new credential, revoke the old one. Then monitor authentication errors, task completion, and usage for residual requests made with the retired key.
How to make a running agent pick up a new key
The answer depends on when the application reads the credential. If it reads the key once during process startup, updating the secret store alone is insufficient; restart or roll the process. If it retrieves the key at request time or through a refreshable credential provider, the running worker may pick up the replacement without a restart, subject to that provider’s cache and refresh behavior.
| Credential delivery method | What a key change usually requires | What to check |
|---|---|---|
| Read once at startup | Restart or roll out the process after updating its secret source. | Every worker instance has restarted and is making requests with the replacement. |
| Runtime retrieval or callback | Allow the next retrieval or request to use the new value; trigger a supported refresh if available. | Provider refresh behavior, cache TTL, and successful authorized requests. |
| Proxy or application-side broker | Update the credential held by the proxy or broker, rather than exposing it to the agent. | The broker has the new value and still permits only intended destinations and operations. |
Do not assume that all workers update simultaneously. A rolling deployment, queued jobs, long-lived processes, and secret-provider caches can create a period in which different consumers use different credentials. Keep the old credential valid during that period only when the provider allows overlapping credentials and the old key is not suspected of being exposed.
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Reduce credential exposure in agent systems
Keep raw keys out of agent-readable contexts
An environment variable is not a security boundary against code running in the same agent environment. If generated code can inspect that environment, it may be able to read the key. Store long-lived credentials in a secrets manager or keep them in a trusted proxy that brokers access. Give agent code only the capability it needs, rather than the raw credential when the architecture permits.
Use separate, narrowly scoped credentials
A shared key increases the number of consumers affected by a rotation and makes it harder to trace usage. Use a distinct credential for each service or workflow where feasible, and restrict its permissions to the required operations. OpenAI’s API-key guidance and service-account tooling support this least-privilege approach.
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Consider workload identity where supported
For supported deployments, OpenAI recommends workload identity federation as an alternative to storing a long-lived API key. The workload uses a trusted identity to obtain a short-lived access token. Availability depends on the platform and deployment; it is not interchangeable with every provider’s API-key mechanism.
Planned rotation is different from suspected compromise
During a routine rotation, overlap is useful because it lets you validate the replacement before removing the old credential. If a key may have been exposed, do not leave it active just to preserve a convenient overlap window. OpenAI advises rotating exposed credentials immediately and updating production values; revoke or rotate the compromised key promptly, then update affected workloads and verify recovery. Review account usage for activity you do not recognize.
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API authentication keys, OAuth tokens, cloud identities, and encryption keys do not necessarily have the same rotation behavior. This process concerns API authentication credentials; rotating a KMS encryption key is a different operation.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Choose a rotation approach for your architecture
| Decision | What to evaluate |
|---|---|
| Credential exposure | Can the agent process or its generated code read the raw key, or does a proxy add it outside the agent environment? |
| Refresh behavior | Does a running process fetch the current value dynamically, use a callback, or require a restart or rollout? What cache TTL applies? |
| Overlap capability | Can the provider keep old and new credentials valid concurrently? The exact capability and policy are provider-specific. |
| Blast radius and auditability | Are keys unique and scoped by workload, and can you review which consumers used them? |
| Emergency response | Can operators revoke a suspected compromised key immediately and update all consumers promptly? |
There is no universal overlap duration or rotation interval established for AI-agent API keys. Choose the overlap based on the slowest consumer refresh or deployment path and the credential provider’s rules. Do not treat a cache TTL documented for one product as a safe default for another.
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