Agent Runtime Infrastructure
An agent runtime is the software that gives a model its tools, files, limits, and record of work. Follow those settings into isolated workers, then see how the runtime handles budgets, failures, output checks, and traces.
For teams maintaining agent runtimes, this series shows how to deliver settings faithfully, remove conflicting execution paths, reject impossible budgets, and preserve useful evidence when a worker fails.
Start here: AI Agent Profile: Make Settings Deliverable. Start with the settings contract and one shared execution path. Then add worker visibility, isolated environments, measured budget limits, failure-safe output checks, and a trace format that another tool can read.
AI Agent Profile: Make Settings Deliverable
An AI agent profile lists the model, tools, files, and policies a run needs. A delivery contract rejects unsupported settings before the worker starts.
AI Agent Runtime Architecture: When to Remove a Path
AI agent runtime architecture can remove a second execution path when the shared route preserves requested settings, controls, errors, and trace records.
AI Agent Observability: Make the Work Visible
AI agent observability should expose live progress and tool requests, while leaving completion and duration unknown when the remote stream omits them.
AI Dev Container For Production Agents
An AI dev container needs isolation, command execution, durable sessions, trace export, and explicit failure handling before an agent touches a real repository.
LLM Sandbox Environment For Agent Runs
An LLM sandbox environment isolates tools, records side effects, survives reconnects, and gives reviewers enough evidence to approve or reject an agent run.
Why AI Agent Token Budgets Need a Measured Runtime Floor
An AI agent token budget can be impossible before work starts. A measured runtime floor lets a parent reject unsafe child budgets and preserve unknowns.
Why AI Agent Delivery Checks Must Run After Worker Failure
An AI agent can write a valid artifact and still exceed its budget. Separate delivery, resource compliance, and failure propagation so each result stays true.
Agent Runtime Trace Writer-Reader Contracts
An agent trace reader depends on a stable writer contract. Publish the layout, move state to .agent, and classify every backend at compile time.