Create AI Chatbot with AI agents

In this guide, we will show you step-by-step how to use the tool-calling agent in FlowHunt to create an AI chatbot that can handle a variety of tasks using multiple tools. Let’s get started.

What is an AI Agent?

An AI agent and tools are key concepts in the field of artificial intelligence, particularly in systems that perform tasks autonomously or semi-autonomously. Let’s break down each term:

AI Agent Definition

An AI agent is an entity or system capable of perceiving its environment, processing that information, and taking actions to achieve specific goals or tasks. Agents can be simple, like a basic chatbot, or complex, like autonomous vehicles or advanced decision-making systems.

Key Characteristics of AI Agents

• Autonomy: AI agents operate with a degree of independence. They can make decisions or take actions without constant human intervention.
• Learning: Many AI agents are designed to learn from their experiences or data inputs to improve their performance over time.
• Adaptation: AI agents can adapt to new information or changing environments, modifying their strategies or actions accordingly.
• Interactivity: AI agents often interact with humans, other agents, or systems to complete their tasks.

AI Agent use-cases

• Chatbots: Programs like virtual assistants that can understand natural language and provide information or perform tasks based on user requests.
• Robots: Physical agents that can interact with the physical world, such as robotic vacuum cleaners or factory automation robots.
• Recommender Systems: AI agents that suggest products, content, or services based on user behavior and preferences.

What is a tool for AI Agent?

Tool Definition

In the context of AI, tools refer to specific software components or functions that an AI agent uses to perform tasks. These tools extend the capabilities of the agent, allowing it to access information, perform computations, interact with external systems, and more.

Key functions of AI tools

• Data Retrieval: Tools can pull in data from various sources, such as web searches, databases, or APIs. For example, a YouTube search tool can retrieve video URLs based on keywords.
• Content Analysis: Tools might analyze text, images, videos, or other content to extract information or make decisions. For example, a URL retriever tool might extract text content from a webpage or video transcript.
• Task Execution: Some tools enable the agent to perform specific tasks like sending emails, making reservations, or controlling smart home devices.
• Integration: Tools often integrate with other systems or platforms, allowing the AI agent to extend its functionality. For instance, an AI agent might use an API tool to interact with social media platforms.

AI Tools use-cases

• NLP Tools: Tools that process and understand natural language inputs, enabling the AI agent to interpret and respond to human language.
• Search Tools: Tools that allow the AI agent to search for and retrieve information from the internet or specific databases.
• Automation Tools: Tools that enable the AI agent to automate repetitive tasks, such as scheduling appointments or managing emails.

Interaction Between AI Agents and Tools

• Modularity: AI agents are often designed to be modular, meaning they can use different tools depending on the task. This modularity allows them to be flexible and adaptable to various scenarios.
• Tool-Calling: An advanced AI agent can “call” or activate specific tools when needed. For instance, when asked to summarize a YouTube video, an AI agent might call a tool to search for the video, another to retrieve the transcript, and yet another to generate the summary.

In summary:
AI agents are the active entities that perform tasks, while tools are the specialized components or software that assist them in performing these tasks. The combination of these elements allows AI systems to operate efficiently and effectively across a wide range of applications.

Getting started with AI Agent Flows

When you first enter FlowHunt, you will land on the “Getting Started” page. Follow these steps to begin setting up your chatbot:

Make a Flow in FlowHunt

1. Navigate to the “Flows” Tab: Click on the “Flows” tab to start a new project.
2. Create a New Flow: Provide a name and a detailed description to keep track of its purpose.

Add Inputs and Outputs

1. Define the Input: This will be the user’s query.
2. Define the Output: This will be the generated answer to the user’s query.

Everything that occurs between the input and output stages will shape the text generation to meet the desired outcome.

Adding Essential Components to a Flow

Adding the Tool-Calling Agent

Tool-Calling Agent: This component selects the appropriate tools based on the user query. You can find the available tools in the tool compartment on the left tray.

Integrating Chat History and LLM

1. Chat History: This ensures the chatbot remembers previous interactions, allowing it to adapt if the user isn’t satisfied with the initial response.
2. LLM (Language Model): Although the tool-calling agent includes a built-in GPT-4 model, you can add other AI models if necessary.

Adding tools to AI agent

Select tools that align with your chatbot’s intended functions. Here’s an overview of the available tools:

• Arxiv Tool: Arxiv is an open-access archive for scholarly articles in fields such as physics, mathematics, computer science, and more.

• DALL·E Image Generating Tool: DALL·E generates digital images from natural language descriptions, perfect for adding unique visuals to your content.

• PubMed: PubMed provides access to a vast database of biomedical and life sciences literature, ideal for health-related information.

• Reddit Tool: The Reddit tool searches for queries in Reddit posts, offering community insights and trends.

• Stackexchange Tool: This tool allows users to ask and answer questions on various topics, providing a rich source of information and expert opinions.

• Wikipedia Tool: Wikipedia is a comprehensive online encyclopedia, useful for general knowledge and background information.

• YouTube Search: This tool searches YouTube for relevant videos, linking them as references.

• Live Human Assist Tools: These tools connect users to live support chats, useful for e-commerce and business queries.

Utilize Retrievers to customize Chatbot further to your needs

Retrievers are valuable for generating content and answering queries accurately.

• GoogleSearch Retriever: Searches Google or specific domains, extracting data from relevant URLs.
• URL Retriever: Presents links used in the output, allowing users to verify sources.
• Document Retriever: Uses pre-queued documents as context for generating answers, beneficial for detailed and accurate responses.

Configure the Tool-Calling Agent

1. System Message Prompt: Set a prompt to guide the agent’s purpose. For example, instruct the agent to handle various queries using the tools provided.

Finalize Agent Flow

Connect the agent component to the output. Your AI chatbot is now ready to handle a variety of tasks!

Wrapping Up

Thank you for following this guide on creating an AI chatbot with FlowHunt. If you have any questions, feel free to contact us or leave a comment below, and we’ll get back to you.

By following these steps, you can create a versatile AI chatbot tailored to your specific needs. Happy chatting!