Managed Agent Runtime
Offer the agent loop itself as a managed cloud primitive so a caller supplies a model, system prompt, and tools and the platform runs the orchestration in an isolated, session-scoped runtime.
Problem
Re-implementing and operating the agent loop per team multiplies effort and risk. Each bespoke loop must solve session isolation, credential handling, resumability, and tracing on its own, and any one of them done weakly becomes a production incident. Sessions that share a process leak state into one another; outbound tool calls reach for ambient host credentials; a crash loses in-flight work because there was no checkpoint; and there is no uniform trace to debug across products. The loop is undifferentiated infrastructure that every team rebuilds and operates instead of consuming.
Solution
The platform exposes a single invoke endpoint that takes a model reference, a system prompt, and a tool set, then runs the full reason-act loop on the caller's behalf. Each session executes inside its own isolated sandbox, commonly a microVM with filesystem and shell access, so concurrent sessions never share state. The runtime wires in managed memory for short- and long-term context, a managed identity service that mints scoped credentials for outbound tool calls, and observability that emits a uniform trace of every step. The caller owns prompt, tools, and policy; the platform owns the loop, isolation, and operations.
When to use
- Several teams are each rebuilding and operating the same agent loop.
- Per-session isolation, identity, and tracing must be uniform across agent products.
- A cloud runtime that exposes the loop with session-scoped sandboxes is available.
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