Coze | How to use "Multi-agent mode"
TLDRIn this video, Josh MOS introduces the concept of 'Multi-agent mode', a feature that allows multiple AI bots to collaborate and complete complex tasks. Unlike single agent mode, where a single bot handles all tasks, multi-agent mode enables the creation of specialized bots, each with its own role and capabilities. The video demonstrates how to transition from single agent mode to multi-agent mode, create new agents, and connect them using jump conditions. This allows for a more efficient and organized approach to task management, as each bot can focus on a specific set of responsibilities. The process is illustrated with examples such as an email bot, a calendar bot, and a potential Google Sheets agent. The video concludes with the addition of a global jump condition to return to the main menu, emphasizing the flexibility and user-friendliness of multi-agent mode.
Takeaways
- 🤖 **Multi-agent Mode Introduction**: Multi-agent mode allows multiple bots to collaborate and complete complex tasks by dividing responsibilities.
- 📬 **Email Bot**: An 'email bot' is created to manage email tasks, such as sending and checking emails using the Outlook plugin.
- 📅 **Calendar Bot**: A 'calendar bot' is introduced to handle calendar management tasks like creating, updating, and listing events.
- 🔗 **Node and Jump Conditions**: Nodes represent individual bots, and jump conditions determine how users transition from one bot to another based on keywords.
- 📈 **Plugin Integration**: Bots can be enhanced with various plugins, workflows, and knowledge bases to improve their functionality.
- 🔄 **Transition Between Bots**: The system uses jump conditions to transition between different bots, such as from an email bot to a calendar bot.
- 📝 **Google Sheets Integration**: The script mentions the potential to connect to Google Sheets or other services through additional nodes and plugins.
- 🔙 **Return to Main Menu**: A global jump condition is set up to allow users to return to the main menu from any bot at any time.
- 📚 **Documentation and Support**: Users are encouraged to refer to Coze's documentation and join Discord/Telegram for more information and support.
- 📱 **Authorization Process**: When using services like Microsoft Outlook, users need to authorize the bot to access their email accounts.
- 🔧 **Customization and Flexibility**: The multi-agent mode offers customization options where users can create their own plugins and tailor the bot's behavior.
Q & A
What is multi-agent mode?
-Multi-agent mode is the capability to have multiple agents or bots work together and collaborate to complete complex tasks, as opposed to single agent mode where a single bot handles all tasks based on a long prompt and persona.
How does multi-agent mode help in completing complex tasks?
-Multi-agent mode helps by offloading tasks to multiple bots, each playing its own role. This separates concerns and allows for a more efficient and effective completion of complex tasks through collaboration.
What is the difference between a single agent mode and multi-agent mode in terms of bot operation?
-In single agent mode, a bot takes a prompt and uses its skills to complete simple tasks. In multi-agent mode, multiple bots operate off different prompts and can have skills applied to them, such as plugins, workflows, and knowledge, and can pass control between each other based on jump conditions.
How does one switch from single agent mode to multi-agent mode?
-To switch from single agent mode to multi-agent mode, one would go to the development section, click on single agent mode, and then select multi-agent mode.
What is a node in the context of multi-agent mode?
-A node in multi-agent mode represents an agent or a bot that operates based on a specific prompt and can have skills applied to it. It also uses jump conditions to transition from one bot to another.
How are bots connected in multi-agent mode?
-Bots in multi-agent mode are connected through jump conditions that are triggered by keywords. These conditions allow the flow of work to pass from one bot to another as needed to accomplish the task.
What is the role of the 'email bot' in the provided example?
-The 'email bot' is responsible for checking emails and sending emails using the Microsoft Outlook email plugin. It is connected to the main bot, which acts as a menu, and takes over when email-related tasks are requested.
How can one enhance the capabilities of an email bot?
-One can enhance the email bot by adding more to the prompt, giving it additional skills such as plugins, workflows, and knowledge bases to improve its functionality.
What is the purpose of the 'calendar bot'?
-The 'calendar bot' is designed to manage calendar tasks, such as creating, updating, and listing calendar events. It is another node connected to the system that takes over when calendar-related tasks are requested.
How does the system handle adding a new calendar event?
-When a user requests to add a new calendar event, the system steps from the email agent to the calendar agent using the plugin and creates the event as specified by the user.
What is the significance of jump conditions in multi-agent mode?
-Jump conditions are crucial in multi-agent mode as they serve as the mechanism to transition between different bots based on specific triggers or keywords, creating a seamless workflow for complex tasks.
How can a user return to the main menu in a multi-agent bot system?
-A user can return to the main menu by triggering a global jump condition that is set up to respond to a request for the 'main menu', which then switches control back to the main bot.
Outlines
🤖 Introduction to Multi-Agent Mode
Josh MOS introduces the concept of multi-agent mode, which allows multiple bots to collaborate and complete complex tasks. He explains that this differs from single-agent mode, where a single bot is responsible for a range of tasks. Josh demonstrates transitioning from single-agent mode to multi-agent mode within a workspace and outlines the process of creating a multi-agent bot, which involves creating nodes for different agents and setting up jump conditions to pass tasks between them. He also shows how to integrate plugins and workflows to enhance the capabilities of each bot.
📆 Calendar Management with Multi-Agent Bots
Josh continues by demonstrating how to create a calendar bot within the multi-agent mode to manage calendar events. He connects a jump condition to the calendar bot and adds skills such as creating, listing, and updating events to the bot. The video shows the bot creating an event on the Outlook calendar and switching from the email agent to the calendar agent based on user input. Josh also discusses the possibility of adding more nodes for different services and emphasizes the use of jump conditions as a way to orchestrate the flow of work among the bots, allowing for a more efficient and collaborative approach to task completion.
Mindmap
Keywords
💡Multi-agent mode
💡Single agent mode
💡Persona
💡Prompt
💡Skills
💡Jump conditions
💡Plugins
💡Workflows
💡Microsoft Outlook
💡Google Sheets
💡Main menu
Highlights
Multi-agent mode allows multiple bots to work together to complete complex tasks.
It differs from single agent mode, which typically uses a long prompt and persona to complete tasks.
In multi-agent mode, bots can have their own roles and operate off of prompts, plugins, workflows, and knowledge.
Jump conditions are used to transition from one bot to another based on keywords.
Creating a multi-agent bot helps to separate concerns and manage complex tasks more efficiently.
The process involves creating nodes, each representing a different bot with specific responsibilities.
An example given is transitioning from a personal assistant bot to an email bot for email tasks.
Plugins like Microsoft Outlook email can be integrated to give bots additional functionalities.
Bots can be enhanced by adding more skills such as plugins, workflows, and knowledge bases.
A calendar bot can be created to manage calendar events, including creating, updating, and listing events.
The calendar bot can connect to an Outlook calendar plugin to perform its tasks.
Additional nodes can be added for more functionality, such as connecting to Google Sheets.
Jump conditions act as the glue, creating a workflow that the team of bots needs to accomplish.
A global jump condition can be set up to return users to the main menu at any time.
The multi-agent mode distributes the workload among different bots, improving efficiency and task handling.
Users can create their own plugins or connect to various services to expand bot capabilities.
The video demonstrates the setup and transition between different bots in a multi-agent environment.
For more information, viewers are directed to Coze's documentation and community channels like Discord and Telegram.