Orchestration

Multi-agent workflow orchestration coordinates multiple agents for complex tasks. You need it when managing multi-step features requiring systematic planning, iterative context retrieval, and sub-agent coordination.

To plan a multi-agent workflow, generate a structured step-by-step implementation plan before execution. The orchestration framework then coordinates agents while iteratively retrieving and refining context for sub-agents to perform tasks.

No, this orchestration framework requires a structured planning process. It is designed for multi-agent systems where systematic planning and iterative context refinement are necessary before executing complex tasks.

The best way to manage context retrieval for sub-agents is through iterative context refinement. The orchestration framework retrieves and refines context dynamically, ensuring sub-agents receive accurate information to perform their specific tasks.

Agent orchestration is not ideal for simple single-step tasks. It is built for complex features and multi-step tasks that require systematic planning, execution, and coordination between multiple agents in a workflow.

Multi-agent workflow management requires iterative context retrieval because complex tasks demand continuous context refinement. The orchestration framework dynamically retrieves updated information, ensuring sub-agents execute their steps accurately based on the latest context.