This project demonstrates a chatbot application that enforces document access control using Oso Cloud authorization. The chatbot allows users to query documents while respecting their access permissions based on their role and department.

• Role-based access control (Manager, Member)
• Department-based document access
• Document similarity search using embeddings
• Interactive chat interface
• Public document access

• Python 3.12.X
• PostgreSQL database with pgvector extension
• Oso Cloud account
• OpenAI API key

1. Clone this repository

2. Install dependencies:

   pip install -r requirements.txt

3. Set up environment variables in .env:

   DATABASE_URL=postgresql://user:pass@host:5432/dbname
   OSO_URL=https://cloud.osohq.com
   OSO_API_KEY=your_api_key # make sure you use an environment without an active policy
   OPENAI_API_KEY=your_openai_key
   

4. Initialize the database:

   python main.py

Run the chatbot:

python main.py

The chatbot will display a list of available users and their roles. Select a user by entering their name.

You can then:

• Enter prompts to query documents the user has access to
• Type "set_user" to switch to a different user
• Type "exit" to quit

• Managers can read all documents in their department
• Members can only read documents they created
• All users can read public documents

Example users:

• Jane (Engineering Manager)
• Jerry (Engineering Member)
• George (HR Manager)
• Karen (HR Member)

Try these queries with different users to see how access control works:

• "What project is Jerry working on?"
• "Are Jerry and Karen dating?"
• "When is George's birthday?" (Public document)
• "How old is Karen?"

The responses will vary based on the user's permissions.