evolvable.ai

feature

Deep Observability

See exactly what every agent did, why, and at what cost.

Deep Observability

The problem

Agents are black boxes. When output is wrong or expensive, teams cannot see the reasoning, the tool calls, or the data that led there — so they cannot fix or defend it.

What it does

Full traces of every agent run: prompts, reasoning steps, tool calls, and model responses.

Metrics for quality, latency, token usage, and cost per agent, workflow, and tenant.

Alerting on errors, drift, policy violations, and cost spikes.

Dashboards and drill-down from fleet overview to a single decision.

The Outcome

Complete visibility to debug, optimise, and prove agent behaviour — turning black boxes into glass boxes.

See how it scales in your environment

Talk through multi-tenant isolation and governance with our team.