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    Getting Started

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    • Access profiles
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    • OpenAI / Codex
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    • Get credential reference

    Authorization

    • Agent Consent Flow

    REST API

    • Overview
    • Authentication
    • Services
    • Agents
    • Access policies
    • Audit events
    • Consent administration
    • Agent credential access
    • Errors and limits

    Developer Tools

    • TypeScript SDK
    • CLI

    Security

    • Overview
    • Encryption model
    • Credential storage
    • Audit and compliance
    • Responsible disclosure
    Documentation

    Getting Started

    • Introduction
    • How Gazebo works
    • Core concepts
    • Quickstart

    Agent Access

    • Access profiles
    • Bearer tokens
    • Audit logs

    MCP

    • Overview
    • Cursor
    • Claude Desktop
    • Claude Code
    • OpenAI / Codex
    • Devin / Windsurf
    • Any MCP client
    • Get credential reference

    Authorization

    • Agent Consent Flow

    REST API

    • Overview
    • Authentication
    • Services
    • Agents
    • Access policies
    • Audit events
    • Consent administration
    • Agent credential access
    • Errors and limits

    Developer Tools

    • TypeScript SDK
    • CLI

    Security

    • Overview
    • Encryption model
    • Credential storage
    • Audit and compliance
    • Responsible disclosure
    DocsSecurityCredential storage

    Credential storage

    Credentials are stored in the Gazebo vault — a PostgreSQL table where every value is encrypted at rest with AES-256-GCM before being written.

    Storage model

    Each credential entry stores:

    • user_id — which account owns this credential
    • service — the service name (e.g. stripe)
    • ciphertext — the AES-256-GCM encrypted credential value
    • nonce — the random nonce used for this encryption (required for decryption)
    • created_at, updated_at

    The plaintext credential value is never written to the database.

    Plaintext exposure boundary

    Stored values are not displayed in dashboard connection views. However, authorized agent credential retrieval through the runtime API or MCP returns the actual plaintext value over HTTPS.

    • The calling agent runtime receives the key; a third-party host running that agent receives it too.
    • Provider-side permissions determine what a retrieved key can do. Gazebo does not proxy later calls.
    • Keep credentials out of application logs, prompts and screenshots.

    Gazebo decrypts credentials server-side for authorized retrieval and supported service operations. Encryption at rest does not mean the agent or Gazebo infrastructure cannot access a credential at runtime.

    What "connecting a service" does

    When you connect a service:

    1. You paste your API key or complete OAuth
    2. The server receives the plaintext value over TLS
    3. The server encrypts it with AES-256-GCM using the vault key
    4. The ciphertext and nonce are written to the database
    5. Dashboard connection views expose status rather than the stored value

    There is no "view credential" feature. If you need to see a stored credential value, you must retrieve it via get_credential using a valid agent token — which is logged.

    Revoking that agent blocks future retrieval. It does not invalidate a provider key already retrieved; suspected compromise may require provider-side revocation or rotation.

    Encryption key management

    See Encryption model for key details. The critical operational constraint: the VAULT_ENCRYPTION_KEY must never change after setup. Key rotation requires re-encrypting every stored credential — a manual migration that must be planned carefully.

    OAuth credentials

    For OAuth-connected services (Stripe OAuth, Google OAuth, etc.), Gazebo stores both the access token and the refresh token in the vault. Refresh tokens are re-encrypted if rotated. The OAuth flow never exposes tokens to the browser after the initial connection.

    Explore Gazebo

    Gazebo gives each agent an independent access boundary around your agent credentials, with controls for approval, auditing, and revocation.

    Scoped identities for AI agentsGive every agent only the credentials it needs.Credential security and audit controlsSee how access is protected, recorded, and revoked.
    Encryption modelAudit and compliance
    Gazebo

    Credential management for AI agents. Scoped access, approval controls, and complete audit logs—without hardcoding or rotating shared API keys.

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