SAG / ARCHITECTURE NOTE
Secrets and Integration Metadata: A Design That Does Not Store API Keys
Explains what secrets are and why they are needed, how they work, and the criteria and practical checklist for applying them to SAG architecture, based on research and official documentation.
Definition in one sentence
Secrets management is the principle of keeping integration status and identifying metadata in the service database while storing the actual secrets in a dedicated secret store.
Key answer: Storing API keys in ordinary operational records or logs expands their exposure through access permissions and backups. A masked display does not justify storing the plaintext value.
Why is this technology needed?
Storing API keys in ordinary operational records or logs expands their exposure through access permissions and backups. A masked display does not justify storing the plaintext value.
How it works
Store only the provider, connection status, key fingerprint, and refresh time in the service. Inject secrets from an environment-specific secret manager, and establish rotation and revocation procedures.
When designing a system, do not consider accuracy alone. Define latency, cost, data boundaries, refresh intervals, and behavior in case of failure as well. This makes results reproducible in production. It is safer not to convert values that automation cannot determine with confidence to 0 or success, but to leave them in an unmeasured or review-needed state.
Connection to SAG technology
SAG's credential record is a metadata contract for preparing a connection; it does not store the actual API key or indicate that an external connection has been completed.
Practical checklist
- Do not leave plaintext keys in the database or logs.
- Display only the fingerprint and refresh time.
- Verify that the previous key is revoked after rotation.
- Distinguish the status of failures, empty results, and permission errors from success.
- Revalidate before and after changes under the same conditions.
Research and official documentation
Reference documents support the principles and recommendations. They do not guarantee search visibility, AI mentions, rankings, or revenue. The actual effects of implementation should be verified through observations of service data under the same conditions.
Technical references by topic
How to continue reading about this technology
Explore tenant permissions, task retries, caching, and approval history.
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