Agentic State

This example demonstrates how to enable agentic session state in teams and agents, allowing them to automatically manage and update their session state during interactions. The agents can modify the session state autonomously based on the conversation context.

1. Create a Python file

   agentic_session_state.py

       from agno.agent import Agent
       from agno.db.sqlite import SqliteDb
       from agno.models.openai import OpenAIResponses
       from agno.team.team import Team
   
       db = SqliteDb(db_file="tmp/agents.db")
       shopping_agent = Agent(
           name="Shopping List Agent",
           role="Manage the shopping list",
           model=OpenAIResponses(id="gpt-5.2"),
           db=db,
           add_session_state_to_context=True,  # Required so the agent is aware of the session state
           enable_agentic_state=True,
       )
   
       team = Team(
           members=[shopping_agent],
           session_state={"shopping_list": []},
           db=db,
           add_session_state_to_context=True,  # Required so the team is aware of the session state
           enable_agentic_state=True,
           description="You are a team that manages a shopping list and chores",
           show_members_responses=True,
       )
   
   
       team.print_response("Add milk, eggs, and bread to the shopping list")
   
       team.print_response("I picked up the eggs, now what's on my list?")
   
   print(f"Session state: {team.get_session_state()}")
   
2. Set up your virtual environment

   Mac

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

   uv venv --python 3.12
   .venv\Scripts\activate
   
3. Install dependencies

   uv pip install -U agno openai
   
4. Export your OpenAI API key

   Set OpenAI Key

   Set your OPENAI_API_KEY as an environment variable. You can get one from OpenAI.

   Mac

   export OPENAI_API_KEY=sk-***
   

   setx OPENAI_API_KEY sk-***
   
5. Run Team

   python agentic_session_state.py