Use Case: Event Coordination

Coordinate and manage an event by assigning specialized tasks to different Agents.

```python from anote_agents import Agent, Crew, Task from anote_agents.tools import SerperDevTool, ScrapeWebsiteTool

search_tool = SerperDevTool() scrape_tool = ScrapeWebsiteTool()

venue_coordinator = Agent( role="Venue Coordinator", goal="Find and book a venue that meets event requirements", tools=[search_tool, scrape_tool], verbose=True )

logistics_manager = Agent( role="Logistics Manager", goal="Handle catering, equipment, and attendee logistics", tools=[], verbose=True )

marketing_agent = Agent( role="Marketing Agent", goal="Promote the event to potential attendees", tools=[search_tool], verbose=True )

venue_task = Task( description="Find a venue in {event_city} for {expected_participants} participants.", expected_output="Venue details including cost, location, capacity.", agent=venue_coordinator )

logistics_task = Task( description="Organize catering and equipment for {expected_participants} participants.", expected_output="Menu options, equipment list, and cost breakdown.", agent=logistics_manager )

marketing_task = Task( description="Generate marketing strategy to attract {expected_participants} participants for the {event_topic}.", expected_output="A concise marketing plan including channels, budget, and timeline.", agent=marketing_agent )

event_crew = Crew( agents=[venue_coordinator, logistics_manager, marketing_agent], tasks=[venue_task, logistics_task, marketing_task], verbose=True )

event_details = { "event_city": "Los Angeles", "event_topic": "AI Conference", "expected_participants": 300 }

result = event_crew.kickoff(inputs=event_details) print(result) Overview

Each Agent handles a unique segment of event planning. The tasks can be executed in parallel or sequentially, depending on the workflow configuration.