Glossary · Core Concepts

Agent Orchestration

The practice of coordinating how autonomous agents discover skills, negotiate actions, and execute workflows under governance controls.

What is Agent Orchestration?

Agent orchestration is the discipline of coordinating how autonomous AI agents discover available skills, negotiate which actions to take, and execute multi-step workflows – all within defined governance boundaries. It addresses the operational challenges of scaling agent adoption: knowing what an agent can reach before it runs, cost boundaries, identity propagation, and policy enforcement.

Agent orchestration in Naftiko

Naftiko supports agent orchestration through:

  • Multi-step capabilities – Orchestration with conditional, for-each, and parallel steps defined in the capability spec.
  • Policy-driven discovery – Agents discover capabilities through governed registries, not uncontrolled tool scanning.
  • Agent safety tags – Per-operation effect classification (read-only, mutating, destructive) so agents can make informed decisions.
  • Identity propagation – Caller identity flows through agent chains so every action is attributable.
  • Execution telemetry – OpenTelemetry traces and per-capability metrics for every invocation. This is observability, not a compliance audit log: if you need retained, per-tool records of caller identity and authorization decisions, plan to add that at your gateway.

Why it matters

Agents without orchestration create chaos – ungoverned chains, no audit trail, no cost boundaries, and prototypes that never make it to production. Agent orchestration makes automation observable and cost-bounded so organizations can scale agent adoption without scaling risk.

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