Agent Tooling
Edge Agent API
Let AI agents deploy, manage, and monitor your infrastructure. Built for how LLMs think.
How It Works
# User gives their agent an access code and the URL
User → "Here's my Edge agent code, deploy this app"
Agent → Discovers capabilities, deploys, reports back
User → "How's it doing?"
Agent → Checks metrics, reports status, suggests optimisations
Discovery-First
The agent learns what it can do, what limits exist, and what's already deployed — before taking any action.
Budget-Aware
Every response includes cost context. Set soft or hard budget caps so the agent operates within your limits.
tell_user Field
Every response includes a human-readable summary the agent can relay directly to you. No interpretation needed.
Quick Start
- Go to Account → Agent Access and create an agent access code
- Give your AI agent the code and the URL:
https://edge.network/agent - The agent calls the discovery endpoint to learn what it can do
- The agent deploys, manages, and monitors your infrastructure
Designed for Agents
Unlike standard cloud APIs designed for humans or scripts, the Edge Agent API is built from the ground up for how LLMs work:
Dry Run Everything
Preview any action before committing with the X-Dry-Run: true header.
Project-Based
Group resources by purpose (VM + CDN + DNS = one project). Health check, scale, or teardown everything at once.
Errors as Guidance
Error responses include actionable suggestions and a tell_user field explaining what the user should do.
Idempotent
All mutating endpoints support idempotency keys for safe retries.
Available Products
Compute
VMs, scaling, metrics
CDN
Deployments, domains, cache
Storage
Buckets, uploads, objects
DNS
Zones, records, propagation