Back to Prompt Library
implementation

Dynamic Agent Orchestration with OpenAI Swarm Principles

Inspect the original prompt language first, then copy or adapt it once you know how it fits your workflow.

Linked challenge: Proactive iOS Digital Assistant

Format
Text-first
Lines
1
Sections
1
Linked challenge
Proactive iOS Digital Assistant

Prompt source

Original prompt text with formatting preserved for inspection.

1 lines
1 sections
No variables
0 checklist items
Describe how you would apply OpenAI Swarm principles within your LangGraph setup to dynamically orchestrate specialized agents. For a complex request like 'Plan my evening commute considering dinner with friends and picking up dry cleaning', how would the 'Proactive Assistant Agent' decompose this into sub-tasks and dynamically involve 'Location Agent', 'Messaging Agent', and 'Calendar Agent' using A2A Protocol within the LangGraph flow?

Adaptation plan

Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.

Keep stable

Hold the task contract and output shape stable so generated implementations remain comparable.

Tune next

Update libraries, interfaces, and environment assumptions to match the stack you actually run.

Verify after

Test failure handling, edge cases, and any code paths that depend on hidden context or secrets.