Tool Calling Agent
Agent that acts as technical live chat customer support specialist for a business, utilizing an internal knowledge base and forwarding to human agents if necess...
Automate your customer support with an AI chatbot that answers questions using your internal knowledge base and seamlessly connects users to a human agent via LiveAgent if needed. Enhance user experience, reduce response times, and streamline support operations.

Flows
Agent that acts as technical live chat customer support specialist for a business, utilizing an internal knowledge base and forwarding to human agents if necess...
Below is a complete list of all components used in this flow to achieve its functionality. Components are the building blocks of every AI Flow. They allow you to create complex interactions and automate tasks by connecting various functionalities. Each component serves a specific purpose, such as handling user input, processing data, or integrating with external services.
The Chat Opened Trigger component detects when a chat session starts, enabling workflows to respond instantly as soon as a user opens the chat. It initiates flows with the initial chat message, making it essential for building responsive, interactive chatbots.
The Message Widget component displays custom messages within your workflow. Ideal for welcoming users, providing instructions, or showing any important information, it supports Markdown formatting and can be set to appear only once per session.
Discover the Chat Output component in FlowHunt—finalize chatbot responses with flexible, multi-part outputs. Essential for seamless flow completion and creating advanced, interactive AI chatbots.
The Chat History component in FlowHunt enables chatbots to remember previous messages, ensuring coherent conversations and improved customer experience while optimizing memory and token usage.
The Chat Input component in FlowHunt initiates user interactions by capturing messages from the Playground. It serves as the starting point for flows, enabling the workflow to process both text and file-based inputs.
Explore the Tool Calling Agent in FlowHunt—an advanced workflow component that enables AI agents to intelligently select and use external tools to answer complex queries. Perfect for building smart AI solutions that require dynamic tool usage, iterative reasoning, and integration with multiple resources.
FlowHunt's Document Retriever enhances AI accuracy by connecting generative models to your own up-to-date documents and URLs, ensuring reliable and relevant answers using Retrieval-Augmented Generation (RAG).
Integrate FlowHunt Chatbot with LiveAgent for seamless AI-to-human support transitions. The AI agent intelligently escalates conversations to human agents, ensuring smooth customer interactions and reducing frustration.
Flow description
This workflow automates customer support by combining an AI-powered chatbot with integration to the LiveAgent platform. The chatbot leverages an internal knowledge base to answer customer inquiries. If the AI cannot resolve the customer’s issue, the conversation is seamlessly escalated to a human agent via LiveAgent. Below is a structured description of the workflow, its components, and its potential benefits for scaling and automation.
Chat Initialization & Welcome Message
User Input & Message Handling
Retrieving Knowledge Base Information
AI as Support Specialist
Escalation to Human Agent
Output to User
| Component Name | Functionality |
|---|---|
| Chat Opened Trigger | Detects when a user initiates a chat session. |
| Message Widget | Sends a friendly, informative welcome message to the user. |
| Chat Output | Displays messages to the user in the chat window. |
| Chat Input | Collects messages and files from the user. |
| Chat History | Maintains a running history of the conversation for context-aware responses. |
| Document Retriever | Searches the internal knowledge base for relevant answers to user queries. |
| LiveAgent Human Assist Tool | Provides a button or process to escalate the chat to a real human agent via LiveAgent. |
| Tool Calling Agent (AI) | Orchestrates responses, utilizing both the Document Retriever and LiveAgent handoff tool. |
Here’s a simplified flow of the described process:
This workflow is especially useful for organizations seeking to automate routine support tasks, scale their support operations efficiently, and maintain high-quality customer service with minimal delays.
We help companies like yours to develop smart chatbots, MCP Servers, AI tools or other types of AI automation to replace human in repetitive tasks in your organization.
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