https://github.com/rickcau/gen-ai-itops
GenAI IT Ops Chat Solution
https://github.com/rickcau/gen-ai-itops
backend-api csharp-code dotnet genai-chatbot github-actions it-operations multi-agent nextjs runbooks semantic-kernel
Last synced: 4 months ago
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GenAI IT Ops Chat Solution
- Host: GitHub
- URL: https://github.com/rickcau/gen-ai-itops
- Owner: Rickcau
- License: other
- Created: 2024-12-21T01:14:25.000Z (10 months ago)
- Default Branch: master
- Last Pushed: 2025-03-24T15:23:47.000Z (7 months ago)
- Last Synced: 2025-04-13T19:50:23.517Z (6 months ago)
- Topics: backend-api, csharp-code, dotnet, genai-chatbot, github-actions, it-operations, multi-agent, nextjs, runbooks, semantic-kernel
- Language: C#
- Homepage:
- Size: 20.3 MB
- Stars: 4
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE.commercial.md
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README
# Gen-AI-ITOps: Generative AI-Powered IT Operations Accelerator
[](https://github.com/Rickcau/gen-ai-itops/actions/workflows/dotnet-ci.yml) [](https://opensource.org/licenses/MIT)
[](https://github.com/Rickcau/gen-ai-itops/actions/workflows/nextjs-ci.yml)
[](https://opensource.org/licenses/MIT)
***Click on the image below to watch a demostration of this soltion in real-time.***
[
](https://www.youtube.com/watch?v=huwIEobrw7w)
## Licensing
This project uses a dual license model:
- **Commercial License**: Required for Azure-hosted production deployments
- **MIT License**: Applies to open source use cases
See [LICENSE.md](LICENSE.md) for details.
## Risk Assessment
Please review the risk assessment in-which I compare the capabilitiy based approach I leverage in this repository against screen/browswer controlled appraoches (like OpenAI's Operator, Anthropic's Computer Use, and Google's Project Mariner).
[Risk Assessment](./notes/risk-assessment.md)
## Overview
This repository contains a comprehensive solution for automating IT operations using Generative AI, Azure Automation, GitHub Workflows, and modern web technologies. The platform enables users to interact with IT infrastructure through a natural language interface while maintaining proper security controls and role-based access.
## Key Components
### 1. IT Operations ChatBot
- Located in `/it-ops-chatbot/`
- Next.js-based web application
- Provides natural language interface for IT operations
- Implements secure authentication and authorization
### 2. Azure Automation Integration
- PowerShell-based runbooks for infrastructure operations
- Custom RBAC roles for access control
- Automated task scheduling and execution
- Job status monitoring and reporting
### 3. Console Applications
- `/ConsoleApp-Chat-Bot/`: CLI interface which demostrate ChatBot capabilities that are used in the API Layer
- `/ConsoleApp-Build-Ai-Index/`: Tools for building AI search indexes
- `/ConsoleApp-Az-Automation/`: Azure Automation management utilities / demostrates RBAC with Azure Automation
- `/ConsoleApp-Az-Check-Permissions/`: Permission verification tools / denostrates how custom RBAC roles can be used with the solution.
### 4. API Layer
- `/api-gen-ai-itops/`: Backend API services
- Handles authentication and authorization
- Integrates with Azure services
- Manages communication between frontend and automation components
## Security Features
- Azure Entra ID integration
- Custom RBAC roles (VMAdmin, VMViewer, etc.)
- Secure token-based authentication
- Role-based access control for operations
## Architecture
- Detailed architecture documentation in `/architecture/`
- Implements separation of concerns
- Scalable and maintainable design
- Integration with Azure services
## Development Setup
1. Configure App.config with environment variables
2. Set up Azure Automation account
3. Configure App Registrations in Azure Entra ID
4. Assign appropriate roles to users
## CI/CD
- GitHub Actions workflows for automated testing and deployment
- Continuous integration checks for .NET components
- Automated build and deployment processes
## Documentation
- Implementation details in [`/notes/`](./notes)
- Please read [`Azure Automation VS GitHub`](./notes/AzureAuto-vs-GitHub.md) to help determine which to use
- Important Notes in [`/ImportantNotes.md/`](./notes/ImportantNotes.md)
- Just a few ideas / thoughts in [`/Thoughts.md/`](./notes/Thoughts.md)
- Setup Details in [`/Setup.md/`](./notes/Setup.md)
- Runbook documentation in [`RunBooks.md`](RunBooks.md)
- Architecture specifications in [`/architecture/`](./architecture)
- [`API documentation`](./api-gen-ai-itops) available in respective service directories
## Additional Work that is needed
- Add additional logic to the Console-Build-AI-Index which enumerates the GitHub Workflows that the users have access to
- More work is needed for the GitHub integration as the platform does not provide the robust capabilities that Azure Automation has
- Determining how to lock down access to varioaus GitHub actions would be needed.