swamp-vault

Securely manage API keys and credentials for AI agents by storing them in encrypted vaults. This prevents sensitive information from being exposed in code or logs during application deployment.

Reference secrets dynamically in model definitions and workflows using CEL vault expressions. This allows seamless secret retrieval from configured backends without exposing plaintext values.

Yes, storing credentials is supported across multiple backends including AWS Secrets Manager, Azure Key Vault, 1Password, and local encryption. This enables flexible secret management across different cloud environments.

Store and retrieve secrets using local encryption by creating a vault and adding secret entries. Retrieve stored values dynamically during execution to inject credentials securely into application configurations.

Yes, sensitive fields generated in model outputs can be automatically stored in configured vaults. This ensures that secrets created during workflow execution are captured securely without plaintext exposure.

A secrets management vault is needed when AI workflows require database credentials, API keys, or passwords. It ensures sensitive data is injected securely into configurations without hardcoding values into source code.