Agency Swarm

5 Steps

1. 1

   Set Up Your Environment: Install the necessary dependencies. This typically involves installing the `agency-swarm` package and any other required libraries (e.g., OpenAI's Python library). You'll also need an OpenAI API key.

2. 2

   Define Agent Roles: Create classes for each agent in your swarm, inheriting from a base `Agent` class. Define the agent's role, goal, and any specific tools they need to access. Specify the agent's instructions, which guide their behavior.

3. 3

   Create the Agency: Instantiate the agents you defined and create an `Agency` object, assigning the agents to their respective roles within the agency. Define the organizational structure by specifying which agents report to whom.

4. 4

   Run the Swarm: Use the `agency.run()` method to start the swarm. Provide the initial task or prompt to the agency. The agents will then communicate and collaborate to complete the task.

5. 5

   Review the Results: After the swarm completes its task, review the output. This might involve examining the messages exchanged between agents, the final output generated, or any logs produced during the process.