delegate-to-agent

Centralizing AI orchestration requires routing all tasks through the agent chat. By using the sendToAgentChat and agentChat APIs, you avoid direct provider SDKs and ensure auditable, single-point orchestration across your frontend and backend.

Routing user messages through a chat bridge is best handled by delegating AI tasks to the agent chat. This approach preserves context and run state while leveraging predefined patterns for sub-agent briefing and run management.

Yes, you can delegate automated AI tasks from server-side scripts to the agent chat. This Skill supports delegation from both UI components and server-side scripts, including actions managed via the run-manager.

Using agent chat APIs instead of inline LLM calls improves visibility and safety for workflow orchestration. It centralizes control of AI-driven tasks, ensuring all runs are auditable and coordinated through a single-point orchestration layer.

Yes, delegating AI work to an agent chat fully supports frontend UI component integration. You can route user-initiated messages and actions through the chat bridge to coordinate tools and sub-agents seamlessly.

You should not use direct provider SDKs when you need centralized, auditable run management. Avoid inline LLM calls and instead route all AI task delegation through the agent chat to preserve context and ensure safe orchestration.