Code
tool_use_gpt_5.py
Usage
1
Set up your virtual environment
2
Set your API key
3
Install dependencies
4
Run Agent
Save the code above as
tool_use_gpt_5.py, then run:Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
Run a gpt-5 agent with cached YFinance tools through the OpenAI Responses API and stream the response.
from agno.agent import Agent
from agno.models.openai import OpenAIResponses
from agno.tools.yfinance import YFinanceTools
agent = Agent(
model=OpenAIResponses(id="gpt-5"),
tools=[YFinanceTools(cache_results=True)],
markdown=True,
telemetry=False,
)
agent.print_response("What is the current price of TSLA?", stream=True)
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
uv venv --python 3.12
.venv\Scripts\activate
Set your API key
export OPENAI_API_KEY=xxx
Install dependencies
uv pip install -U openai yfinance agno
Run Agent
tool_use_gpt_5.py, then run:python tool_use_gpt_5.py
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