GroupChat Swarm Architecture, Any Agent to Any Agent Communication

[kyegomez]

GroupChat Implementation Document

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Objective:
To create a GroupChat class that facilitates agent-to-agent communication using multiple Flow instances as agents.

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1. Requirements and Features:

1.1. Dynamic Agent Addition

• Ability to add any number of Flow instances (agents) dynamically to the GroupChat.

1.2. Structured Communication

• The GroupChat should maintain a structured order of agent communication, ensuring that agents do not overlap or interrupt each other.

1.3. Context Preservation

• The context of the chat should be preserved to ensure that agents can reference previous messages and respond coherently.

1.4. Unique Agent Identification

• Every agent in the GroupChat should have a unique identifier to differentiate messages from different agents.

1.5. Agent-to-Agent Direct Messaging

• Ability for one agent to send a direct message to another agent within the GroupChat.

1.6. Broadcast Messaging

• An agent should be able to send a message to all other agents in the GroupChat.

1.7. Dynamic Agent Removal

• Ability to remove agents from the GroupChat dynamically.

1.8. Agent Status

• Mechanism to check the status of each agent (active, idle, offline).

1.9. Message Logging

• All messages within the GroupChat should be logged for future reference.

1.10. Interactive Mode

• An option to allow human intervention in the chat. The human user should be able to communicate with the agents in the GroupChat.

1.11. Extensibility

• The GroupChat should be designed in a way that it can be extended to support other models (like Anthropic, Huggingface's Mistral, etc.) in the future.

1.12. Error Handling

• Proper error handling mechanisms to ensure smooth communication, even when an agent faces issues.

1.13. Rate Limiting

• Ensure that no single agent dominates the conversation by implementing rate limiting.

1.14. Message Formatting

• Support for basic message formatting to improve readability.

1.15. Synchronization

• Ensure that all agents are synchronized in terms of context and message history.

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2. High-Level Implementation Steps:

2.1. Class Initialization

• Define the GroupChat class with methods to add or remove Flow instances.

2.2. Message Management

• Implement methods to send, receive, log, and format messages.

2.3. Agent Management

• Add methods to manage the status, addition, removal, and identification of agents.

2.4. Communication Protocols

• Define protocols for agent-to-agent direct messaging and broadcast messaging.

2.5. Context Management

• Ensure all agents have a synchronized view of the conversation context.

2.6. Error Handling

• Add mechanisms to handle potential errors or interruptions in agent communication.

2.7. Extensibility

• Design the architecture such that new models or features can be easily integrated in the future.

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3. Sample Usage:

from swarms.models import OpenAIChat
from swarms.structs import Flow, GroupChat

api_key = ""

# Initialize multiple Flow agents
agent1 = Flow(OpenAIChat(openai_api_key=api_key, temperature=0.5), max_loops=5)
agent2 = Flow(OpenAIChat(openai_api_key=api_key, temperature=0.6), max_loops=5)

# Initialize GroupChat with agents
group_chat = GroupChat(agents=[agent1, agent2])

# Simulate agent to agent communication
group_chat.run("Generate the codebase to implement a transformer llm from scratch")

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This document provides a high-level overview of the features, requirements, and steps to implement the GroupChat class for agent-to-agent communication using Flow instances.