Documentation Index
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Agents use tools to take actions and interact with external systems.
Tools are functions that an Agent can run to achieve tasks. For example: searching the web, running SQL, sending an email or calling APIs. You can use any python function as a tool or use a pre-built Agno toolkit.
The general syntax is:
from agno.agent import Agent
agent = Agent(
# Add functions or Toolkits
tools=[...],
)
Agno provides many pre-built toolkits that you can add to your Agents. For example, let’s use the HackerNews toolkit to fetch tech news.
You can find more toolkits in the Toolkits guide.
Create News Agent
Create a file news_agent.pyfrom agno.agent import Agent
from agno.tools.hackernews import HackerNewsTools
agent = Agent(tools=[HackerNewsTools()], markdown=True)
agent.print_response("What are the top stories on HackerNews?", stream=True)
Run the agent
Install dependenciesuv pip install openai agno
Run the agent
For more control, write your own python functions and add them as tools to an Agent. For example, here’s how to add a get_top_hackernews_stories tool to an Agent.
import json
import httpx
from agno.agent import Agent
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.
"""
# 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(tools=[get_top_hackernews_stories], markdown=True)
agent.print_response("Summarize the top 5 stories on hackernews?", stream=True)
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