Coze | How to use "Multi-agent mode"

Coze
12 Feb 202409:11

TLDRJosh MOS introduces the concept of 'Multi-agent mode', a feature that allows multiple AI bots to collaborate and complete complex tasks. He demonstrates how to transition from a single agent bot, which can perform simple tasks, to a multi-agent bot that can handle more responsibilities like managing emails, creating calendar events, and interacting with Google Sheets. The video explains how to set up nodes for different agents, apply plugins and workflows, and use jump conditions to switch between bots based on keywords. Josh also shows how to create a global jump condition to return to the main menu, emphasizing the efficiency of a team of bots over a single bot handling all tasks.

Takeaways

  • 🤖 Multi-agent mode allows multiple bots to collaborate and complete complex tasks.
  • 📬 Single agent mode is designed for simple tasks, while multi-agent mode is for complex ones.
  • 🔄 Multi-agent mode helps to separate concerns and enables the completion of complex tasks through different bots.
  • 📍 In multi-agent mode, you can create nodes representing different agents or bots, each with its own prompt and skills.
  • 🔗 Jump conditions are used to transition from one bot to another based on keywords or user input.
  • 📧 An example of a multi-agent setup includes an email bot that can send and receive emails using Outlook plugins.
  • 📅 Another example is a calendar bot that can create, update, and list calendar events.
  • 📈 Skills can be added to each bot to enhance their functionality, such as Outlook calendar integration.
  • 🔌 Plugins can be created for different services, and bots can be connected to handle various tasks.
  • 🔙 A global jump condition can be set up to return to the main menu from any bot within the multi-agent system.
  • 📚 The multi-agent mode can be further explored through Coze's documentation and community platforms like Discord and Telegram.

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. It allows for the distribution of tasks among different bots, each playing its own role, which is different from single-agent mode where a single bot handles all tasks.

  • How does single-agent mode differ from multi-agent mode?

    -In single-agent mode, a single bot takes a prompt and uses its skills to complete simple tasks. In contrast, multi-agent mode involves multiple bots, each with its own prompt and skills, working together to accomplish complex tasks by passing control between them based on jump conditions and keywords.

  • What is a node in the context of multi-agent mode?

    -A node in multi-agent mode represents an individual agent or bot. It operates based on a given prompt and can have skills, plugins, workflows, and knowledge applied to it. Nodes can also use jump conditions to transition from one bot to another.

  • How does a jump condition work in multi-agent mode?

    -A jump condition is a rule that triggers a transition from one bot to another based on specific keywords or phrases. It serves as a way to guide the flow of tasks between different bots in a multi-agent setup, allowing for a collaborative approach to complex tasks.

  • How can a user switch back to the main menu in a multi-agent bot setup?

    -A user can switch back to the main menu by using a global jump condition that is set up to respond to a specific command, such as 'main menu'. This allows the user to return to the primary bot, which acts as the main menu, from any other bot in the system.

  • What is the purpose of creating a separate email bot in a multi-agent system?

    -Creating a separate email bot allows for the specialization of tasks. The email bot handles all email-related tasks, such as sending, receiving, and managing emails, which helps in separating concerns and makes the system more efficient for complex operations.

  • How can the email bot be enhanced?

    -The email bot can be enhanced by adding more skills to its prompt, such as additional plugins, workflows, and knowledge bases. This allows the bot to perform more sophisticated email-related tasks and better assist the user.

  • What is the role of the calendar bot in a multi-agent system?

    -The calendar bot is responsible for managing the user's calendar. It can create, update, and list calendar events, as well as send calendar invitations. This specialized role allows for more efficient task handling within the multi-agent system.

  • How can a user create a new calendar event using the calendar bot?

    -A user can create a new calendar event by instructing the bot with the specific details, such as the date, time, and title of the event. The calendar bot then uses its connected plugin to create the event in the user's calendar.

  • What is the benefit of adding more nodes and jump conditions in a multi-agent system?

    -Adding more nodes and jump conditions allows for the expansion of the system's capabilities. It enables the integration of additional services and functionalities, such as Google Sheets or Notion, and creates a more complex and interconnected workflow that can handle a wider range of tasks.

  • How can users get more information about multi-agent mode?

    -Users can get more information about multi-agent mode by checking out the Coze documentation and looking for the section on multi-agent mode. They can also join discussions on Discord and Telegram for further questions and clarifications.

Outlines

00:00

🤖 Introduction to Multi-Agent Mode

Josh MOS introduces the concept of multi-agent mode, explaining how it allows multiple bots to work together to complete complex tasks. This is contrasted with single-agent mode, where a single bot handles all tasks. The video demonstrates transitioning from single-agent mode to multi-agent mode, setting up a personal assistant bot with capabilities like email management and calendar updates. The process involves creating nodes for different agents, such as an email bot and a calendar bot, and using jump conditions to connect these agents and switch between them based on user prompts.

05:01

📆 Multi-Agent Mode for Calendar Management

The video continues with the setup of a multi-agent bot, focusing on calendar management. Josh demonstrates how to create a calendar bot that can create, list, and update calendar events. He connects this bot to the main assistant bot using jump conditions, allowing the user to switch to the calendar bot when they want to manage their calendar. The calendar bot is equipped with Outlook calendar plugins to handle the required tasks. Additionally, Josh shows how to enhance the system by adding more nodes and jump conditions to connect to other services like Google Sheets, and how to return to the main menu from any agent using a global jump condition.

Mindmap

Keywords

💡Multi-agent mode

Multi-agent mode refers to the capability of multiple AI agents or bots to work together and collaborate to accomplish complex tasks. It differs from single-agent mode, where a single bot handles all tasks based on a long prompt and persona. In the video, Josh demonstrates how to transition from single-agent to multi-agent mode, allowing for the distribution of responsibilities across different bots, which enhances efficiency and the ability to handle more complex tasks.

💡Persona

In the context of the video, a 'Persona' is a set of characteristics, behaviors, and skills that define the role of an AI bot. It is used to guide the bot's responses and actions. In multi-agent mode, each bot can have its own persona, allowing them to specialize in different tasks and contribute to the overall functionality of the system.

💡Prompt

A 'prompt' in the AI context is a statement or question that triggers the AI to generate a response or perform a task. In the video, prompts are used to guide the AI bots to perform specific actions, such as sending an email or creating a calendar event. The use of prompts is crucial for directing the flow of actions between different bots in multi-agent mode.

💡Skills

Skills, in this video, are the functionalities or abilities that an AI bot can perform, such as sending emails or managing a calendar. They are often implemented through plugins, workflows, and knowledge bases. Skills are applied to bots to enhance their capabilities and allow them to handle specific tasks within the multi-agent system.

💡Jump conditions

Jump conditions are the specific triggers or keywords that cause the AI to switch from one bot to another within the multi-agent mode. They act as the 'glue' that connects different bots and allows for a seamless transition between tasks. In the script, jump conditions are set up to respond to user commands and direct the workflow accordingly.

💡Plugins

Plugins in the video are additional software components that can be added to the AI bots to extend their capabilities. For instance, the Outlook email plugin allows the email bot to send and receive emails. Plugins are essential for enabling bots to interact with external services and perform specialized tasks.

💡Workflows

Workflows are the sequences of steps that an AI bot follows to complete a task. They are part of the skills that a bot can have and are used to automate processes. In the context of the video, workflows help to streamline the actions that bots take in response to prompts, ensuring that tasks are completed efficiently and in the correct order.

💡Knowledge bases

Knowledge bases are databases of information that AI bots can access to enhance their responses and actions. They provide the bots with a source of data and insights that can be used to inform decision-making and improve the quality of output. In the video, knowledge bases may be used by bots to draw upon relevant information when handling tasks.

💡Microsoft Outlook

Microsoft Outlook is an email and calendaring service that is used in the video as an example of an external service that the AI bots can interact with through plugins. The email bot in the multi-agent mode uses the Outlook email plugin to manage emails, demonstrating how bots can be integrated with popular productivity tools.

💡Google Sheets

Google Sheets is a cloud-based spreadsheet service that is mentioned in the video as another service that an AI bot could potentially manage. The script suggests creating a Google Sheets agent, which would be a specialized bot designed to handle tasks related to Google Sheets, such as creating, updating, and reading spreadsheets.

💡Main menu

The 'main menu' in the context of the video is the primary interface or starting point from which a user can access the various functionalities of the AI system. It is managed by the 'my assistant' bot and provides a way for users to navigate between different tasks and services offered by the multi-agent bots.

Highlights

Multi-agent mode allows multiple bots to collaborate and complete complex tasks.

In single agent mode, a long prompt and persona are used to complete tasks, whereas multi-agent mode offloads tasks to different bots.

Multi-agent mode separates concerns and aids in completing complex tasks by utilizing multiple bots.

The transition to multi-agent mode is done by switching from single agent mode to multi-agent mode in the Coze workspace.

Each node in multi-agent mode represents an agent or bot that operates based on a prompt and can have skills applied to it.

Jump conditions are used to pass control from one bot to another based on keywords.

An example of creating an email bot that checks and sends emails using Microsoft Outlook email plugin is demonstrated.

The main menu bot acts as a central point, prompting the user and directing tasks to the appropriate specialized bot.

Adding a calendar bot to manage calendar events, including creating, updating, and listing events.

The calendar bot is connected to an Outlook calendar plugin to perform its functions.

The system demonstrates creating a calendar event using the calendar bot and the Outlook plugin.

Additional nodes can be added for more functionality, such as connecting to Google Sheets or other services.

Jump conditions serve as the glue that connects different agents and determines the flow of work among the bots.

A global jump condition can be set up to return to the main menu at any time.

The multi-agent bot can be expanded with new jump conditions and agents to handle more complex tasks.

The video provides a walkthrough of setting up and using multi-agent mode in the Coze workspace.

For more information on multi-agent mode, users are directed to Coze documentation and community channels like Discord and Telegram.

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