"""
Input Schema
=============================
Input Schema.
"""
from typing import List
from agno.agent import Agent
from agno.models.openai import OpenAIResponses
from agno.tools.hackernews import HackerNewsTools
from pydantic import BaseModel, Field
class ResearchTopic(BaseModel):
"""Structured research topic with specific requirements"""
topic: str
focus_areas: List[str] = Field(description="Specific areas to focus on")
target_audience: str = Field(description="Who this research is for")
sources_required: int = Field(description="Number of sources needed", default=5)
# Define agents
# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
hackernews_agent = Agent(
name="Hackernews Agent",
model=OpenAIResponses(id="gpt-5-mini"),
tools=[HackerNewsTools()],
role="Extract key insights and content from Hackernews posts",
input_schema=ResearchTopic,
)
# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
# Pass a dict that matches the input schema
hackernews_agent.print_response(
input={
"topic": "AI",
"focus_areas": ["AI", "Machine Learning"],
"target_audience": "Developers",
"sources_required": "5",
}
)
# Pass a pydantic model that matches the input schema
hackernews_agent.print_response(
input=ResearchTopic(
topic="AI",
focus_areas=["AI", "Machine Learning"],
target_audience="Developers",
sources_required=5,
)
)
Run the Example
# Clone and setup repo
git clone https://github.com/agno-agi/agno.git
cd agno/cookbook/02_agents/02_input_output
# Create and activate virtual environment
./scripts/demo_setup.sh
source .venvs/demo/bin/activate
python input_schema.py