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Agent tooling · Access codes

Agent tooling

Agent access codes

Scoped credentials that let AI agents deploy and manage your infrastructure within defined limits.

On this page6 sections

Overview#

Agent access codes are separate from API keys. They’re designed specifically for AI agents, with built-in scoping for products, permissions and budgets.

Text
Format: ea_live_{random_64_hex}
Example: ea_live_7f3a9b2c4d5e6f1a8b9c0d1e2f3a4b5c...

Creating an access code#

  1. Open Account → Agent Access from the user menu.
  2. Click Create Agent Code.
  3. Enter a descriptive name (e.g. “Cursor Agent”, “CI/CD Deploy”).
  4. Select which products the agent can access.
  5. Choose permissions (Deploy, Manage, Delete).
  6. Optionally set a budget cap with soft or hard enforcement.
  7. Copy the generated code immediately.

Scoping#

Products#

Control which Edge products the agent can access:

  • Compute: VMs, scaling
  • CDN: Deployments, domains
  • Storage: Buckets, uploads
  • DNS: Zones, records
  • Shield: Bot protection
  • Assist: AI answers

Permissions#

Permission Allows
Deploy Create resources, upload files, deploy applications
Manage View, update and manage existing resources, check health
Delete Delete resources and tear down projects

Budget caps#

Set a monthly spending limit for the agent:

  • Soft cap: The agent receives a warning when approaching the limit but can continue operating. Useful for flexibility with awareness.
  • Hard cap: The agent is blocked from creating new resources once the limit is reached. Useful for strict cost control.

Authentication#

Pass the agent access code as a Bearer token:

HTTP
GET https://edge.network/agent
Authorization: Bearer ea_live_7f3a9b2c4d5e6f1a...

Managing codes#

  • Edit: Update the name, products, permissions and budget cap at any time.
  • Revoke: Immediately invalidate a code. Agents using it lose access instantly.
  • Last used: See when each code was last used to identify inactive codes.
  • Multiple codes: Create separate codes for different agents or environments.

Best practices#

  • One code per agent: Use separate codes for each AI tool (Cursor, CI/CD, etc.) for clear audit trails.
  • Least privilege: Only enable the products and permissions the agent actually needs.
  • Set a budget cap: Even a generous soft cap gives you visibility into agent spending.