Swarm Agent Chatbot-AI-driven agent collaboration
AI-Powered Collaborative Agent Swarms
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Introduction to Swarm Agent Chatbot
Swarm Agent Chatbot is designed to facilitate the understanding and utilization of the 'agency-swarm' project, developed by Arsenii Shatokhin. This chatbot interacts with users to provide detailed information, answer queries, and guide through the project's features, which focus on orchestrating agent swarms efficiently. For example, it can help users create customized agent roles like CEO, virtual assistant, or developer, and orchestrate their collaboration within an agency to automate various tasks.
Main Functions of Swarm Agent Chatbot
Customizable Agent Roles
Example
Defining a CEO agent to manage tasks and a developer agent to execute tasks.
Scenario
In a software development agency, the CEO agent can plan and assign tasks to the developer agent, ensuring smooth project execution.
Full Control Over Prompts
Example
Creating custom prompts for agents without predefined restrictions.
Scenario
A customer service agency can design specific responses for different customer queries, providing more accurate and relevant information.
Tool Creation
Example
Using the Instructor interface to create custom tools.
Scenario
In a research agency, tools can be created to automate data collection and analysis, streamlining the research process.
Ideal Users of Swarm Agent Chatbot Services
Businesses and Enterprises
Companies looking to automate workflows and enhance productivity can benefit from using Swarm Agent Chatbot. It helps in creating specialized agents to handle various business processes, reducing manual effort and increasing efficiency.
Developers and AI Enthusiasts
Developers interested in building and managing complex AI systems can utilize this chatbot to create and orchestrate agent swarms, experiment with different configurations, and optimize their AI projects.
Using Swarm Agent Chatbot
Step 1
Visit aichatonline.org for a free trial without login, also no need for ChatGPT Plus.
Step 2
Ensure you have an active OpenAI API key and configure it using the set_openai_key function.
Step 3
Create and configure custom tools with the BaseTool class and define agent roles like CEO and Developer.
Step 4
Define your agency communication flows, ensuring clear interaction paths between agents.
Step 5
Run the demo using demo_gradio for a web interface or run_demo for a terminal interface to see the agents in action.
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Swarm Agent Chatbot Q&A
What is Swarm Agent Chatbot?
Swarm Agent Chatbot is a framework for orchestrating collaborative swarms of AI agents, each with distinct roles and capabilities.
How can I create a custom agent?
You can create a custom agent by defining it directly in the code using the Agent class or by creating an agent template locally using the CLI.
What are the benefits of using Swarm Agent Chatbot?
The benefits include reduced hallucinations through agent supervision, the ability to perform complex tasks, and scalability to handle increasing complexity.
Can I use Swarm Agent Chatbot with open-source models?
Yes, you can integrate open-source models with the framework by switching out the OpenAI client and defining your agent's model parameter accordingly.
What is the role of the Agency in Swarm Agent Chatbot?
An Agency is a collection of agents that communicate with one another to perform tasks collaboratively, ensuring efficient and scalable operations.