tool_calls_accesing_agent.py
"""
Tool Calls Accesing Agent
=============================
Demonstrates tool calls accesing agent.
"""
import json
import httpx
from agno.agent import Agent
# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
def get_top_hackernews_stories(agent: Agent) -> str:
num_stories = agent.dependencies.get("num_stories", 5) if agent.dependencies else 5
# Fetch top story IDs
response = httpx.get("https://hacker-news.firebaseio.com/v0/topstories.json")
story_ids = response.json()
# Fetch story details
stories = []
for story_id in story_ids[:num_stories]:
story_response = httpx.get(
f"https://hacker-news.firebaseio.com/v0/item/{story_id}.json"
)
story = story_response.json()
if "text" in story:
story.pop("text", None)
stories.append(story)
return json.dumps(stories)
agent = Agent(
dependencies={
"num_stories": 3,
},
tools=[get_top_hackernews_stories],
markdown=True,
)
# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
agent.print_response("What are the top hackernews stories?", stream=True)
Run the Example
1
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
uv venv --python 3.12
.venv\Scripts\activate
2
Install dependencies
uv pip install -U agno openai
3
Export your OpenAI API key
export OPENAI_API_KEY="your_openai_api_key_here"
$Env:OPENAI_API_KEY="your_openai_api_key_here"
4
Run the example
Save the code above as
tool_calls_accesing_agent.py, then run:python tool_calls_accesing_agent.py