vat-example-cat-agents

Multi-agent orchestration coordinates sequential agents by managing state, data handoffs, and retry loops. This ensures clear phase transitions between gathering, recommendation, and selection stages for complex task pipelines.

Human-in-the-loop approvals are supported natively. The orchestration rules allow you to insert optional HITL validation gates, enabling manual review and safety checks before an agent proceeds to the next phase.

Mockable modes simulate agents during development. This allows you to test orchestration rules, state management, and phase transitions locally without running the full live agent pipeline.

Explicit state management coordinates data handoffs between agents. By defining phase-aware workflow control, you ensure outputs from analysis agents correctly sequence into recommendation and generation stages.

Multi-agent orchestration supports both image and text analysis. It coordinates these tasks alongside naming, haiku generation, and breed recommendations within a single end-to-end pipeline.

Explicit orchestration rules are needed when managing complex pipelines with retries and validation loops. They provide the state management required to safely coordinate multiple agents across distinct phase transitions.