Runtime

Runtime provides cloud infrastructure for deploying and scaling AI agents in production, a managed platform that handles the execution environment, tool connectivity, orchestration state, and scaling mechanics that production agentic applications require but that most teams don't want to build and operate themselves. The infrastructure layer manages execution containers for agent runs, persisting state across multi-step tasks so agents can pause, resume, and recover from failures without losing progress. Tool integration handles authentication, rate limiting, retry logic, and response parsing for the external APIs and services agents interact with during execution.

Orchestration support manages dependencies between agent steps, parallel execution where tasks can run concurrently, and workflow branching based on intermediate results. Scaling mechanics automatically allocate compute resources to handle concurrent agent runs without manual capacity planning or performance degradation under load. Monitoring and observability provide real-time visibility into active agent runs, execution histories, error patterns, and resource use across the full deployment.

Runtime is positioned as infrastructure for engineering teams that have built working agent applications and need to move them to production with the reliability, scalability, and observability characteristics that business operations require, without building those infrastructure layers in-house.