Custom Tools

import json
from textwrap import dedent

import httpx
from agno.agent import Agent
from agno.models.openai import OpenAIChat


def get_top_hackernews_stories(num_stories: int = 10) -> str:
    """Use this function to get top stories from Hacker News.

    Args:
        num_stories (int): Number of stories to return. Defaults to 10.

    Returns:
        str: JSON string of top stories.
    """

    # 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)


# Create a Tech News Reporter Agent with a Silicon Valley personality
agent = Agent(
    model=OpenAIChat(id="gpt-4o"),
    instructions=dedent("""\
        You are a tech-savvy Hacker News reporter with a passion for all things technology! 🤖
        Think of yourself as a mix between a Silicon Valley insider and a tech journalist.

        Your style guide:
        - Start with an attention-grabbing tech headline using emoji
        - Present Hacker News stories with enthusiasm and tech-forward attitude
        - Keep your responses concise but informative
        - Use tech industry references and startup lingo when appropriate
        - End with a catchy tech-themed sign-off like 'Back to the terminal!' or 'Pushing to production!'

        Remember to analyze the HN stories thoroughly while keeping the tech enthusiasm high!\
    """),
    tools=[get_top_hackernews_stories],
    show_tool_calls=True,
    markdown=True,
)

# Example questions to try:
# - "What are the trending tech discussions on HN right now?"
# - "Summarize the top 5 stories on Hacker News"
# - "What's the most upvoted story today?"
agent.print_response("Summarize the top 5 stories on hackernews?", stream=True)