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What is agent-customerservice?

l-by-136/agent-customerservice — explained in plain English

Analysis updated 2026-05-18

25PythonAudience · developerComplexity · 3/5LicenseSetup · moderate

In one sentence

A multi-agent hotel customer service chatbot in Python that handles bookings, FAQs, membership accounts, and weather, with a Streamlit web interface.

Mindmap

mindmap
  root((Agent-CustomerService))
    What it does
      Hotel chatbot
      Multi agent routing
      Human handoff option
    Agents
      Booking agent
      Knowledge base agent
      Member service agent
      Weather agent
    Tech stack
      Python
      Streamlit
      SQLite
      Redis
      ChromaDB
    Use cases
      Room reservations
      FAQ answering
      Loyalty account service
    Audience
      Hospitality teams

Code map

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filefunction / class

What do people build with it?

USE CASE 1

Deploy a Streamlit chatbot that routes hotel guest questions to a booking, FAQ, or membership specialist agent.

USE CASE 2

Convert uploaded PDF or Word hotel policy documents into Markdown to feed the chatbot's knowledge base.

USE CASE 3

Let a coordinator agent hand off complex requests to a human agent when the automated agents can't help.

What is it built with?

PythonStreamlitSQLiteRedisChromaDB

How does it compare?

l-by-136/agent-customerservicearlandaren/proagentsaudietoffe/plasma-gpu-router
Stars252525
LanguagePythonPythonPython
Setup difficultymoderateeasyhard
Complexity3/51/53/5
Audiencedevelopervibe coderops devops

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · moderate Time to first run · 30min

Requires a Tongyi Qianwen API key configured in a YAML file plus Redis and ChromaDB running locally.

Use freely for any purpose, including commercial use, as long as you keep the copyright notice.

So what is it?

This project is a hotel customer service chatbot built in Python, with a README written entirely in Chinese. The system is designed to handle the kinds of requests a hotel front desk typically manages: room reservations, information questions, membership account services, weather lookups, and the option to hand off to a human agent when needed. The project name roughly translates to "Zhixiang Hotel Intelligent Customer Service System." The system is organized as a set of specialized AI agents, each responsible for a specific task type. A coordinator agent figures out what the user is asking and routes it to the right specialist: a booking agent, an information-query agent that searches a knowledge base, a member service agent for account and loyalty points, a weather agent, or a general chat agent. Bookings are stored in SQLite, and the system uses Redis to cache repeated queries. The knowledge base for FAQ and facility information is built with ChromaDB, a vector search tool that lets the system find relevant answers by meaning rather than exact keyword match. The AI language model powering the responses is Tongyi Qianwen, Alibaba's model, accessed via API key. The web interface runs on Streamlit, a Python library that creates simple browser-based interfaces. There is also a separate Streamlit page for a document-cleaning tool that converts uploaded PDF, Word, or text files into Markdown format, which the system can then load into its knowledge base. To run the project you need Python 3.8 or newer, a Qianwen API key configured in a YAML file, and then you start the Streamlit app on a local port. The project is released under the MIT license.

Copy-paste prompts

Prompt 1
Set up Agent-CustomerService with a Tongyi Qianwen API key and run the Streamlit app locally.
Prompt 2
Add a new document to Agent-CustomerService's ChromaDB knowledge base using its document-cleaning tool.
Prompt 3
Explain how Agent-CustomerService's coordinator agent decides which specialist agent handles a guest request.
Prompt 4
Configure Agent-CustomerService's Redis cache and SQLite booking storage for a small hotel deployment.

Frequently asked questions

What is agent-customerservice?

A multi-agent hotel customer service chatbot in Python that handles bookings, FAQs, membership accounts, and weather, with a Streamlit web interface.

What language is agent-customerservice written in?

Mainly Python. The stack also includes Python, Streamlit, SQLite.

What license does agent-customerservice use?

Use freely for any purpose, including commercial use, as long as you keep the copyright notice.

How hard is agent-customerservice to set up?

Setup difficulty is rated moderate, with roughly 30min to a first successful run.

Who is agent-customerservice for?

Mainly developer.

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