1
Create a Python file
add_dependencies_to_context.py
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import json
import httpx
from agno.agent import Agent
from agno.models.openai import OpenAIResponses
def get_top_hackernews_stories(num_stories: int = 5) -> str:
"""Fetch and return the top stories from HackerNews.
Args:
num_stories: Number of top stories to retrieve (default: 5)
Returns:
JSON string containing story details (title, url, score, etc.)
"""
stories = [
{
k: v
for k, v in httpx.get(
f"https://hacker-news.firebaseio.com/v0/item/{id}.json"
)
.json()
.items()
if k != "kids"
}
for id in httpx.get(
"https://hacker-news.firebaseio.com/v0/topstories.json"
).json()[:num_stories]
]
return json.dumps(stories, indent=4)
agent = Agent(
model=OpenAIResponses(id="gpt-5.2"),
dependencies={"top_hackernews_stories": get_top_hackernews_stories},
add_dependencies_to_context=True,
markdown=True,
)
agent.print_response(
"Summarize the top stories on HackerNews and identify any interesting trends.",
stream=True,
)
2
Set up your virtual environment
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uv venv --python 3.12
source .venv/bin/activate
3
Install dependencies
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uv pip install -U agno openai httpx
4
Export your OpenAI API key
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export OPENAI_API_KEY=your_openai_api_key_here
5
Run Agent
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python add_dependencies_to_context.py