Back to Prompt Library
planning
Define AutoGen Agent Team
Inspect the original prompt language first, then copy or adapt it once you know how it fits your workflow.
Linked challenge: AutoGen Multi-Agent Social Event Planner with o3
Format
Text-first
Lines
1
Sections
1
Linked challenge
AutoGen Multi-Agent Social Event Planner with o3
Prompt source
Original prompt text with formatting preserved for inspection.
1 lines
1 sections
No variables
0 checklist items
Initialize an AutoGen multi-agent conversation. Define at least three agents: a 'User Proxy Agent' (representing the user), an 'Event Planner Agent', and a 'Safety Moderator Agent'. The Event Planner Agent should be powered by o3 and focus on finding and describing events based on user input. The Safety Moderator Agent, also using o3, should focus on identifying and flagging unsafe or inappropriate content within conversations or event details. Provide the Python code for setting up these agents, their initial roles, and their communication patterns to achieve collaborative event planning.
Adaptation plan
Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.
Keep stable
Preserve the role framing, objective, and reporting structure so comparison runs stay coherent.
Tune next
Swap in your own domain constraints, anomaly thresholds, and examples before you branch variants.
Verify after
Check whether the prompt asks for the right evidence, confidence signal, and escalation path.