https://github.com/shaadclt/multi-agent-customer-support-automation
This project leverages the crewAI AI agents to create a sophisticated support system. These agents provide top-notch support and quality assurance for customer inquiries.
https://github.com/shaadclt/multi-agent-customer-support-automation
crewai customer-service
Last synced: 6 months ago
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This project leverages the crewAI AI agents to create a sophisticated support system. These agents provide top-notch support and quality assurance for customer inquiries.
- Host: GitHub
- URL: https://github.com/shaadclt/multi-agent-customer-support-automation
- Owner: shaadclt
- License: mit
- Created: 2024-07-10T07:18:37.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-11-15T05:24:47.000Z (11 months ago)
- Last Synced: 2025-04-10T01:10:29.907Z (6 months ago)
- Topics: crewai, customer-service
- Language: Jupyter Notebook
- Homepage:
- Size: 14.6 KB
- Stars: 3
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE.txt
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README
# Multi-Agent Customer Support Automation using CrewAI
This project leverages the crewAI AI agents to create a sophisticated support system. These agents provide top-notch support and quality assurance for customer inquiries.
## Installation
To get started, you need to install the required libraries using pip. This includes `crewai`, `crewai_tools`, `langchain_community`, and `langchain_groq`.
## Setup
1. **Import Necessary Libraries:**
- Begin by importing the required libraries such as crewai, os, and langchain_groq.
2. **Set Up Environment Variables:**
- Set your GROQ API key using the userdata.get method from google.colab.
## Usage
1. **Define Support Agents:** Create two agents:
- **A Senior Support Representative** who provides the primary support.
- **A Support Quality Assurance Specialist** who ensures the quality and completeness of the support provided.
2. **Set Up Tools and Tasks:**
- **Tools:** Utilize the ScrapeWebsiteTool from crewai_tools to scrape relevant documentation.
- **Tasks:** Define two tasks:
- inquiry_resolution: Task for the support agent to resolve the customer's inquiry.
- quality_assurance_review: Task for the quality assurance agent to review and ensure the response's quality.
3. **Execute the Crew:**
- Define the inputs including the customer, person, and inquiry details.
- Use the crew.kickoff method to start the process and get the final result.
## Example
Here's a simple example to demonstrate the usage:
1. **Define Inputs:** Create a dictionary with customer details and the inquiry.
2. **Kick Off the Crew:** Execute the crew with the provided inputs.
3. **Display the Result:** Use Markdown to display the result in a readable format.
## Contributing
I welcome contributions to improve the project. Please fork the repository and submit a pull request with your changes.
## License
This project is licensed under the [MIT License](LICENSE.txt).