Agent with Storage

Code

cookbook/models/vllm/storage.py

from agno.agent import Agent
from agno.models.vllm import vLLM
from agno.storage.postgres import PostgresStorage
from agno.tools.duckduckgo import DuckDuckGoTools

DB_URL = "postgresql+psycopg://ai:ai@localhost:5532/ai"

agent = Agent(
    model=vLLM(id="Qwen/Qwen2.5-7B-Instruct"),
    storage=PostgresStorage(table_name="agent_sessions", db_url=DB_URL),
    tools=[DuckDuckGoTools()],
    add_history_to_messages=True,
)

agent.print_response("How many people live in Canada?")
agent.print_response("What is their national anthem called?")

Ensure Postgres database is running.

Usage

Create a virtual environment

Open the Terminal and create a python virtual environment.

python3 -m venv .venv
source .venv/bin/activate

python3 -m venv .venv
.venv/scripts/activate

Install Libraries

pip install -U agno openai vllm sqlalchemy psycopg[binary] duckduckgo-search

Start Postgres database

./cookbook/scripts/run_pgvector.sh

Start vLLM server

vllm serve Qwen/Qwen2.5-7B-Instruct \
    --enable-auto-tool-choice \
    --tool-call-parser hermes \
    --dtype float16 \
    --max-model-len 8192 \
    --gpu-memory-utilization 0.9

Run Agent

python cookbook/models/vllm/storage.py

Code Generation Agent with Memory

Examples

Agent Concepts

Models

Agent with Storage

Code

Usage

​Code

​Usage

Code

Usage