Agent with Knowledge

Code

cookbook/models/litellm/knowledge.py

from agno.agent import Agent
from agno.knowledge.knowledge import Knowledge
from agno.models.litellm import LiteLLM
from agno.vectordb.pgvector import PgVector

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

knowledge_base = Knowledge(
    vector_db=PgVector(table_name="recipes", db_url=db_url),
)
knowledge_base.add_content(
    url="https://agno-public.s3.amazonaws.com/recipes/ThaiRecipes.pdf"
)

agent = Agent(
    model=LiteLLM(id="gpt-5-mini"),
    knowledge=knowledge_base,
    )
agent.print_response("How to make Thai curry?", markdown=True)

Usage

1. Create a virtual environment

   Open the Terminal and create a python virtual environment.

   Mac

   python3 -m venv .venv
   source .venv/bin/activate
   
2. Set your API key

   export LITELLM_API_KEY=xxx
   
3. Install libraries

   pip install -U litellm openai agno sqlalchemy psycopg pgvector
   
4. Run Agent

   Mac

   python cookbook/models/litellm/knowledge.py