1
Add the following code to your Python file
openai_reasoning_tools.py
2
Set up your virtual environment
3
Install dependencies
4
Export your OpenAI API key
5
Run Agent
Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
Give an OpenAIChat agent ReasoningTools and WebSearchTools to research and write a report comparing NVDA to TSLA.
Add the following code to your Python file
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.reasoning import ReasoningTools
from agno.tools.websearch import WebSearchTools
reasoning_agent = Agent(
model=OpenAIChat(id="gpt-4o"),
tools=[
ReasoningTools(
enable_think=True,
enable_analyze=True,
add_instructions=True,
add_few_shot=True,
),
WebSearchTools(),
],
instructions="Use tables where possible",
markdown=True,
)
reasoning_agent.print_response(
"Write a report comparing NVDA to TSLA",
stream=True,
show_full_reasoning=True,
)
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
uv venv --python 3.12
.venv\Scripts\activate
Install dependencies
uv pip install -U agno openai ddgs
Export your OpenAI API key
export OPENAI_API_KEY="your_openai_api_key_here"
$Env:OPENAI_API_KEY="your_openai_api_key_here"
Run Agent
python openai_reasoning_tools.py
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