1
Create a Python file
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touch basic_rbac.py
2
Add the following code to your Python file
basic_rbac.py
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import os
from datetime import UTC, datetime, timedelta
import jwt
from agno.agent import Agent
from agno.db.postgres import PostgresDb
from agno.models.openai import OpenAIChat
from agno.os import AgentOS
from agno.os.config import AuthorizationConfig
from agno.tools.duckduckgo import DuckDuckGoTools
# JWT Secret (use environment variable in production)
JWT_SECRET = os.getenv("JWT_VERIFICATION_KEY", "your-secret-key-at-least-256-bits-long")
# Setup database
db = PostgresDb(db_url="postgresql+psycopg://ai:ai@localhost:5532/ai")
# Create agent
research_agent = Agent(
id="research-agent",
name="Research Agent",
model=OpenAIChat(id="gpt-4o"),
db=db,
tools=[DuckDuckGoTools()],
add_history_to_context=True,
markdown=True,
)
# Create AgentOS with RBAC enabled
agent_os = AgentOS(
id="my-agent-os",
description="RBAC Protected AgentOS",
agents=[research_agent],
authorization=True,
authorization_config=AuthorizationConfig(
verification_keys=[JWT_SECRET],
algorithm="HS256",
),
)
# Get the app
app = agent_os.get_app()
if __name__ == "__main__":
# Create test tokens with different scopes
user_token = jwt.encode(
{
"sub": "user_123",
"session_id": "session_456",
"scopes": ["agents:read", "agents:run"],
"exp": datetime.now(UTC) + timedelta(hours=24),
"iat": datetime.now(UTC),
},
JWT_SECRET,
algorithm="HS256",
)
admin_token = jwt.encode(
{
"sub": "admin_789",
"session_id": "admin_session_123",
"scopes": ["agent_os:admin"],
"exp": datetime.now(UTC) + timedelta(hours=24),
"iat": datetime.now(UTC),
},
JWT_SECRET,
algorithm="HS256",
)
print("User Token (agents:read, agents:run):")
print(user_token)
print("\nAdmin Token (agent_os:admin - full access):")
print(admin_token)
agent_os.serve(app="basic_rbac:app", port=7777, reload=True)
3
Create a virtual environment
Open the
Terminal and create a python virtual environment.Copy
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python3 -m venv .venv
source .venv/bin/activate
4
Install libraries
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pip install -U agno openai pyjwt "fastapi[standard]" uvicorn sqlalchemy pgvector psycopg duckduckgo-search
5
Export your OpenAI API key
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export OPENAI_API_KEY="your_openai_api_key_here"
6
Setup PostgreSQL Database
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docker run -d \
--name agno-postgres \
-e POSTGRES_DB=ai \
-e POSTGRES_USER=ai \
-e POSTGRES_PASSWORD=ai \
-p 5532:5432 \
pgvector/pgvector:pg17
7
Run the AgentOS
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python basic_rbac.py
8
Test RBAC
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# Set the token from console output
export TOKEN="<user_token_from_console>"
# List agents
curl -H "Authorization: Bearer $TOKEN" http://localhost:7777/agents
# Run an agent
curl -X POST -H "Authorization: Bearer $TOKEN" \
-F "message=Search for latest AI news" \
http://localhost:7777/agents/research-agent/runs