reasoning_agent.py with the following code:
reasoning_agent.py
Usage
1
Create a virtual environment
Open the
Terminal and create a python virtual environment.2
Install libraries
3
Run the agent
Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
reasoning_agent.py with the following code:
from phi.agent import Agent
from phi.model.openai import OpenAIChat
task = (
"Three missionaries and three cannibals need to cross a river. "
"They have a boat that can carry up to two people at a time. "
"If, at any time, the cannibals outnumber the missionaries on either side of the river, the cannibals will eat the missionaries. "
"How can all six people get across the river safely? Provide a step-by-step solution and show the solutions as an ascii diagram"
)
reasoning_agent = Agent(model=OpenAIChat(id="gpt-4o"), reasoning=True, markdown=True, structured_outputs=True)
reasoning_agent.print_response(task, stream=True, show_full_reasoning=True)
Create a virtual environment
Terminal and create a python virtual environment.python3 -m venv ~/.venvs/aienv
source ~/.venvs/aienv/bin/activate
python3 -m venv aienv
aienv/scripts/activate
Install libraries
pip install openai phidata
Run the agent
python reasoning_agent.py
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