AgentOps Simulator
A simulator for agent workflow cost, routing, guardrails, reliability, and observability.
System flow
How the pieces move.
- Scenario Choose the workflow and constraints.
- Route Select a path and model.
- Execute Run tools with guardrails.
- Evaluate Compare cost, traces, and reliability.
Problem Statement
Agent workflows can loop, retry, route poorly, and burn tokens long before teams understand the operational tradeoffs.
Architecture Summary
Configurable scenarios move through routing, execution, guardrails, retries, tracing, and evaluation so cost and reliability choices stay visible.
Key Design Tradeoffs
- Uses simulation to expose tradeoffs without pretending to predict production perfectly.
- Keeps scenarios deterministic enough to compare architecture choices.
- Favors observable workflow behavior over a polished chat interface.
Technologies
PythonStreamlitOpenTelemetryPydantic
AgentOps Simulator makes routing, retries, cost, latency, guardrails, traces, and evaluation visible before production teaches the lesson with a bill.