Create Your Own CUSTOM Multi Agent Communication Flows—Here’s How

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AI Summary

Video Summary: Enhanced Multi-Agent Communication in Agency Swarm Framework

• Introduction:
  • Announcement of a new feature in the Agency Swarm framework.
  • The feature allows full customization of the multi-agent communication logic.
• Background:
  • Previous frameworks had limitations in agent communication structures.
  • Agency Swarm framework offered uniform communication flows but had hardcoded elements.
• New Feature:
  • The hardcoded send message tool is now customizable.
  • Developers can create unique communication flows.
• Pre-Made Send Message Classes:
  • send_message_quick: Simplified tool for sending messages without extra parameters.
  • send_message_async_threading: For asynchronous communication using threading.
  • send_message_swarm: Mimics OpenAI’s swarm communication, allowing direct conversation with sub-agents.
• Creating Custom Send Message Tools:
  • Extend send_message_base and add a run method.
  • Customize the tool with specific parameters and validation logic.
  • Examples include task-based communication, custom validation, summarizing previous conversations, and even communicating with agents outside the agency.
• Implementation:
  • Create a new repository and use Cursor for development.
  • Download the Cursor rules file from the Agency Swarm repo.
  • Define roles and agents in the prompt.
  • Create custom send message tools with specific validation logic.
  • Replace the send message tool class with the custom class in the parameters.
• Conclusion:
  • The new feature opens up possibilities for more complex and efficient communication between agents.
  • Encouragement to experiment with the feature and share results.

Detailed Instructions and Tips:

• Creating a New Repo:
  • Use GitHub Desktop to create a new repository named send_message_test.
  • Open the repository in Cursor for development.
• Developing Agents:
  • Download the Cursor rules file from the Agency Swarm repository.
  • Prepare prompts describing the roles and agents needed.
• Custom Send Message Tool:
  • Import send_message_async_threading from the Agency Swarm tools.
  • Use llm_validator for fast validation with GPT-4 mini.
  • Add the custom send message class to the send_message_tool_class parameter.
• Using Send Message Swarm Tool:
  • Import send_message_swarm from Agency Swarm tools.
  • Replace it in the send_message_tool_class parameter for direct communication with technical support.

Additional Notes:

• The video emphasizes the importance of spending time on the prompt for better agent role definition.
• The new feature allows for more control over agent communication and can lead to more efficient workflows.
• The presenter suggests potential future developments, such as task queuing tools and multi-agent messaging tools.