Multi-Agent Orchestration Template
Advanced template for coordinating multiple agents in complex workflows
[Placeholder Content - This template will demonstrate advanced multi-agent coordination patterns]
This template shows how to orchestrate multiple specialized agents working together to solve complex tasks requiring different expertise areas.
# Placeholder: Coordinator configuration
coordinator:
type: "AgentNode"
role: "orchestrator"
capabilities: ["task-routing", "result-synthesis"]
determinism: "high"
# Placeholder: Worker agent configurations
workers:
research_agent:
type: "AgentNode"
role: "researcher"
tools: ["search", "deep_research"]
determinism: "medium"
analysis_agent:
type: "AgentNode"
role: "analyst"
tools: ["data_analysis", "visualization"]
determinism: "high"
synthesis_agent:
type: "AgentNode"
role: "synthesizer"
tools: ["think", "reflect", "generate"]
determinism: "low"
flowchart TD
Input --> Coordinator[Coordinator Agent]
Coordinator --> Research[Research Agent]
Research --> Analysis[Analysis Agent]
Analysis --> Synthesis[Synthesis Agent]
Synthesis --> Output
[Placeholder: When to use sequential coordination]
flowchart TD
Input --> Coordinator[Coordinator Agent]
Coordinator --> Research[Research Agent]
Coordinator --> Analysis[Analysis Agent]
Coordinator --> Synthesis[Synthesis Agent]
Research --> Merger[Result Merger]
Analysis --> Merger
Synthesis --> Merger
Merger --> Output
[Placeholder: When to use parallel coordination]
// Placeholder: Multi-agent registry configuration
const agentRegistry = new PlaceholderRegistry({
// Registry configuration will be added here
});
[Placeholder: How agents communicate and share state]
[Placeholder: How the coordinator decides which agent handles what]
[Placeholder: How results from multiple agents are combined]
[Placeholder: Step-by-step example of multi-agent research]
[Placeholder: Example of parallel data processing]
[Placeholder: How to handle failures in multi-agent systems]
- [Placeholder: Agent substitution]
- [Placeholder: Graceful degradation]
- [Placeholder: Retry mechanisms]
[Placeholder: Best practices for multi-agent performance]