Agent with Storage

Code

db.py

import os

from agno.agent import Agent
from agno.db.postgres import PostgresDb
from agno.models.nebius import Nebius
from agno.tools.websearch import WebSearchTools

# Setup the database
db_url = "postgresql+psycopg://ai:ai@localhost:5532/ai"
db = PostgresDb(db_url=db_url)

agent = Agent(
    model=Nebius(id=os.environ["NEBIUS_MODEL_ID"]),
    db=db,
    tools=[WebSearchTools()],
    add_history_to_context=True,
)
agent.print_response("How many people live in Canada?")
agent.print_response("What is their national anthem called?")

Select a text-generation model with function-calling support for this example.

Usage

Set up your virtual environment

uv venv --python 3.12
source .venv/bin/activate

uv venv --python 3.12
.venv\Scripts\activate

Export environment variables

Select an available text-generation model ID from the Nebius model-list API.

export NEBIUS_API_KEY="your_nebius_api_key"
export NEBIUS_MODEL_ID="your_current_text_model_id"

$Env:NEBIUS_API_KEY="your_nebius_api_key"
$Env:NEBIUS_MODEL_ID="your_current_text_model_id"

Install dependencies

uv pip install -U openai ddgs sqlalchemy psycopg agno

Run PgVector

docker run -d \
  -e POSTGRES_DB=ai \
  -e POSTGRES_USER=ai \
  -e POSTGRES_PASSWORD=ai \
  -e PGDATA=/var/lib/postgresql/data/pgdata \
  -v pgvolume:/var/lib/postgresql/data \
  -p 5532:5432 \
  --name pgvector \
  agnohq/pgvector:18

Run Agent

Save the code above as db.py, then run:

python db.py

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Agent with Storage

Code

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Usage