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Documentation Index

Fetch the complete documentation index at: https://docs-v1.agno.com/llms.txt

Use this file to discover all available pages before exploring further.

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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.

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Usage

1

Create a virtual environment

Open the Terminal and create a python virtual environment.
python3 -m venv .venv
source .venv/bin/activate
2

Install Libraries

pip install -U agno openai vllm sqlalchemy psycopg[binary] duckduckgo-search
3

Start Postgres database

./cookbook/scripts/run_pgvector.sh
4

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
5

Run Agent

python cookbook/models/vllm/storage.py