Documentation
Build on secure runtime infrastructure.
This public overview explains the e2a platform model for AI workloads: isolated runtimes, controlled surfaces, scoped secrets, usage metering, and operational visibility.
View API ReferenceRuntime Model
Understand how e2a separates workload lifecycle, resource limits, workspace state, and tenant-scoped networking.
Runtime Profiles
Compare shell, browser, and desktop profiles before choosing the surface your AI workload needs.
Security Posture
Review isolation boundaries, credential handling, and operational controls for production deployments.
Operations
Plan for lifecycle events, realtime output, usage metering, and scaling from pilot workloads to production.
Developer Endpoints
API entry point for this environment.
Use these base URLs for the current environment. Account access, API keys, and detailed integration contracts are provided through the dashboard during onboarding.
Control API
https://api.sandbox.deictic.aiAuthentication, runtime lifecycle, secrets, usage, billing, and account operations.
Realtime Runtime
wss://rt.sandbox.deictic.aiInteractive runtime channel used after your service creates a runtime session.