crewai_meeting_research

Build CrewAI Agents to perform research tasks using analytical tools prior to a meeting.

CrewAI is a framework for orchestrating autonomous AI agents to tackle complex tasks. Agents within CrewAI operate in a loop, continuously processing information and executing actions until they reach an output that satisfies the agent. Learn more about CrewAI

Setup

1. Define the Goal

   • Specify the objective for your agents, e.g., creating a meeting brief.

2. Plan Your Crew

   • Tasks: Add description, agent, context, and async execution properties.
   • Agents: Assign tasks to specialized agents.
   • Tools: Equip agents with necessary tools (e.g., search engines).
   • Process: Decide on a workflow (sequential, hierarchical).

3. Detailed Steps

   • Tasks: Create detailed task descriptions.
   • Agents: Develop agents with specific roles and goals.
   • Processes: Choose a collaborative process for agents.

4. Run Your Crew

   • Initiate the kickoff method to start the agents on their tasks, leading to the final output.

Cost Considerations

The use of language models and external tools incurs expenses, particularly with frequent API calls. Effective monitoring, such as employing LangSmith, helps track resource usage and optimize costs.