Managing Tool Calls

from textwrap import dedent

from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.models.openai import OpenAIResponses
from agno.team import Team
from agno.tools.hackernews import HackerNewsTools
from agno.tools.yfinance import YFinanceTools

# Create specialized research agents
tech_researcher = Agent(
    name="Alex",
    role="Technology Researcher",
    instructions=dedent("""
        You specialize in technology and AI research.
        - Focus on latest developments, trends, and breakthroughs
        - Provide concise, data-driven insights
    """).strip(),
)

business_analyst = Agent(
    name="Sarah",
    role="Business Analyst",
    instructions=dedent("""
        You specialize in business and market analysis.
        - Focus on companies, markets, and economic trends
        - Provide actionable business insights
        - Include relevant data and statistics
    """).strip(),
)

# Create research team with tools and context management
research_team = Team(
    name="Research Team",
    model=OpenAIResponses(id="gpt-5.2"),
    members=[tech_researcher, business_analyst],
    tools=[HackerNewsTools(), YFinanceTools()],
    description="Research team that investigates topics and provides analysis.",
    instructions=dedent("""
        You are a research coordinator that investigates topics comprehensively.

        Your Process:
        1. Use HackerNews to find tech discussions and YFinance for market data
        2. Delegate detailed analysis to the appropriate specialist
        3. Synthesize research findings with specialist insights

        Guidelines:
        - Use HackerNews for tech news and YFinance for financial data
        - Choose the right specialist based on the topic (tech vs business)
        - Combine your research with specialist analysis
        - Provide comprehensive responses
    """).strip(),
    db=SqliteDb(db_file="tmp/research_team.db"),
    session_id="research_session",
    add_history_to_context=True,
    num_history_runs=6,  # Load last 6 research queries
    max_tool_calls_from_history=3,  # Keep only last 3 research results
    markdown=True,
)

research_team.print_response("What are the latest developments in AI agents?", stream=True)
research_team.print_response("How is NVDA performing this quarter?", stream=True)
research_team.print_response("What are the trends in LLM applications?", stream=True)
research_team.print_response("What companies are leading in AI infrastructure?", stream=True)