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Ask AI
"""Example demonstrating how to manipulate the session_state in a tool."""
from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.run import RunContext
from agno.tools import tool
from agno.tools.websearch import WebSearchTools
from pydantic import BaseModel
# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
@tool()
def answer_from_known_questions(question: str, run_context: RunContext) -> str:
"""Answer a question from a list of known questions
Args:
question: The question to answer
Returns:
The answer to the question
"""
class Answer(BaseModel):
answer: str
original_question: str
faq = {
"What is the capital of France?": "Paris",
"What is the capital of Germany?": "Berlin",
"What is the capital of Italy?": "Rome",
"What is the capital of Spain?": "Madrid",
"What is the capital of Portugal?": "Lisbon",
"What is the capital of Greece?": "Athens",
"What is the capital of Turkey?": "Ankara",
}
if run_context.session_state is None:
run_context.session_state = {}
if "last_answer" in run_context.session_state:
del run_context.session_state["last_answer"]
if question in faq:
answer = Answer(answer=faq[question], original_question=question)
run_context.session_state["last_answer"] = answer.model_dump()
return answer.answer
else:
return "I don't know the answer to that question."
# Set and run the Agent
q_and_a_agent = Agent(
name="Q & A Agent",
db=SqliteDb(db_file="tmp/q_and_a_agent.db"),
tools=[answer_from_known_questions, WebSearchTools()],
markdown=True,
instructions="You are a Q & A agent that can answer questions from a list of known questions. If you don't know the answer, you can search the web.",
)
# First run
# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
q_and_a_agent.print_response("What is the capital of France?", stream=True)
# Print session_state
session_state = q_and_a_agent.get_session_state()
if session_state and "last_answer" in session_state:
print(f"\nSession state after first run -> {session_state['last_answer']}\n")
# Second run
q_and_a_agent.print_response("What is the capital of Germany?", stream=True)
# Print session_state
session_state = q_and_a_agent.get_session_state()
if session_state and "last_answer" in session_state:
print(f"\nSession state after second run -> {session_state['last_answer']}\n")
Run the Example
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Ask AI
# Clone and setup repo
git clone https://github.com/agno-agi/agno.git
cd agno/cookbook/91_tools/other
# Create and activate virtual environment
./scripts/demo_setup.sh
source .venvs/demo/bin/activate
python session_state_tool.py