OpenAI gpt-5-mini with reasoning effort

Set reasoning_effort to “high” on OpenAIResponses so gpt-5-mini reasons more before answering.

1. Create reasoning_effort.py

   reasoning_effort.py

   from agno.agent import Agent
   from agno.models.openai import OpenAIResponses
   from agno.tools.hackernews import HackerNewsTools
   
   agent = Agent(
       model=OpenAIResponses(id="gpt-5-mini", reasoning_effort="high"),
       tools=[HackerNewsTools()],
       instructions="Use tables to display data.",
       markdown=True,
   )
   
   agent.print_response("Write a report comparing NVDA to TSLA", stream=True)
   
2. Set up your virtual environment

   Mac

   uv venv --python 3.12
   source .venv/bin/activate
   
3. Install dependencies

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

   Mac/Linux

     export OPENAI_API_KEY="your_openai_api_key_here"
   
5. Run Agent

   python reasoning_effort.py