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Arga validates AI agent behaviour by placing agents in controlled environments backed by digital twins. Agents interact with realistic API surfaces without causing real-world side effects.

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Why test agents differently?

AI agents are non-deterministic. The same prompt can produce different tool calls, API sequences, and outcomes. Traditional unit tests can’t cover the combinatorial space of agent behaviour. Arga addresses this by:
  • Observing behaviour in a sandbox — Agents run against digital twins that faithfully replicate external APIs, so you can see exactly what an agent would do in production without risk.
  • Tracking state transitions — Arga records every API call, state change, and decision point, giving you a complete audit trail of agent behaviour.
  • Validating against expected outcomes — Define what correct behaviour looks like, and Arga flags deviations.

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Use cases

Before shipping a new agent version, run it through Arga’s sandbox to verify it handles common scenarios correctly and doesn’t exhibit unexpected behaviour.
Connect Arga to your CI pipeline to test agent behaviour on every code change, catching regressions before they reach production.
When an agent misbehaves in production, use session replay to reconstruct the exact state and debug the root cause.

Book a demo

See agent testing in action. Schedule a 30-minute walkthrough.