01THE PRESSURE
Problem
Multi-step agents hide consequential tool calls and make cost or failure difficult to attribute.
CASE STUDY / Agent Orchestration & Observability
AgentOS
Agent execution should be inspectable while it is happening.
TypeScriptNode.jsReactWebSockets
A Node API and WebSocket server with a React interface spanning roughly 36 TypeScript source files.
WHAT THIS PROVES
Human-in-the-loop gating / Per-skill cost / Success observability / Run visualization
AGENTOS / EXECUTION_TRACEMOCKED ORCHESTRATION
01Plannerplan.create$0.002PASS
TOTAL COST$0.002RUN STATUSRUNNING
Interactive system walkthrough · simulated frontend data · not live telemetry
02THE SYSTEM
Approach
Stream execution events from a Node server into a React console and gate sensitive tools behind human approval.
03THE MEASURE
Experiments
Instrumented skill-level cost and success signals across deterministic mocked traces in this portfolio walkthrough.
04THE BREAK
Failure mode
A run-level success label can hide which skill or tool caused cost growth or failure.
05THE JUDGMENT
Engineering decision
Make observability granular to skills and tools, not only the final response.
06THE EVIDENCE
Measured result
A real-time interface for agent runs, approvals, skill costs, and outcomes.