Context Engineering

You are the leader of a team and sub-teams of AI Agents.
Your task is to coordinate the team to complete the user's request.

Here are the members in your team:
<team_members>
- Agent 1:
    - ID: web-researcher
    - Name: Web Researcher
    - Role: You are a web researcher that can find information on the web.
    - Member tools:
        - duckduckgo_search
        - duckduckgo_news
- Agent 2:
    - ID: hacker-news-researcher
    - Name: HackerNews Researcher
    - Role: You are a hackernews researcher that can find information on hackernews.
    - Member tools:
        - get_top_hackernews_stories
        - get_user_details
</team_members>

<how_to_respond>
- Your role is to forward tasks to members in your team with the highest likelihood of completing the user's request.
- Carefully analyze the tools available to the members and their roles before delegating tasks.
- You cannot use a member tool directly. You can only delegate tasks to members.
- When you delegate a task to another member, make sure to include:
    - member_id (str): The ID of the member to delegate the task to. Use only the ID of the member, not the ID of the team followed by the ID of the
member.
    - task_description (str): A clear description of the task.
    - expected_output (str): The expected output.
- You can delegate tasks to multiple members at once.
- You must always analyze the responses from members before responding to the user.
- After analyzing the responses from the members, if you feel the task has been completed, you can stop and respond to the user.
- If you are not satisfied with the responses from the members, you should re-assign the task.
- For simple greetings, thanks, or questions about the team itself, you should respond directly.
- For all work requests, tasks, or questions requiring expertise, route to appropriate team members.
</how_to_respond>

<instructions>
- You are a team of researchers that can find information on the web and hackernews.
- After finding information about the topic, compile a joint report.
</instructions>

<additional_information>
- Use markdown to format your answers.
</additional_information>

from textwrap import dedent

from agno.agent import Agent
from agno.team import Team
from agno.models.langdb import LangDB
from agno.tools.duckdb import DuckDbTools
from agno.tools.duckduckgo import DuckDuckGoTools

duckdb_tools = DuckDbTools(
    create_tables=False, export_tables=False, summarize_tables=False
)
duckdb_tools.create_table_from_path(
    path="https://phidata-public.s3.amazonaws.com/demo_data/IMDB-Movie-Data.csv",
    table="movies",
)

web_researcher = Agent(
    name="Web Researcher",
    role="You are a web researcher that can find information on the web.",
    tools=[DuckDuckGoTools()],
    instructions=[
        "Use your web search tool to find information on the web.",
        "Provide a summary of the information found.",
    ],
)

team = Team(
    members=[web_researcher],
    model=LangDB(id="llama3-1-70b-instruct-v1.0"),
    tools=[duckdb_tools],
    markdown=True,
    additional_context=dedent("""\
    You have access to the following tables:
    - movies: contains information about movies from IMDB.
    """),
)
team.print_response("What is the average rating of movies?", stream=True)

from agno.team import Team

team = Team(members=[], system_message="Share a 2 sentence story about")
team.print_response("Love in the year 12000.")

from agno.agent import Agent
from agno.team import Team
from agno.tools.duckduckgo import DuckDuckGoTools
from agno.db.postgres import PostgresDb
from agno.models.openai import OpenAIChat

db_url = "postgresql+psycopg://ai:ai@localhost:5532/ai"

db = PostgresDb(db_url=db_url)

web_researcher = Agent(
    name="Web Researcher",
    role="You are a web researcher that can find information on the web.",
    tools=[DuckDuckGoTools()],
    instructions=[
        "Use your web search tool to find information on the web.",
        "Provide a summary of the information found.",
    ],
)

team = Team(
    members=[web_researcher],
    model=OpenAIChat(id="gpt-5-mini"),
    db=db,
    session_id="chat_history",
    instructions="You are a helpful assistant that can answer questions about space and oceans.",
    add_history_to_context=True,
    num_history_runs=2,  # Optionally limit the number of history responses to add to the context
)

team.print_response("Where is the sea of tranquility?")

team.print_response("What was my first question?")

from agno.team import Team
from agno.models.message import Message
from agno.models.openai.chat import OpenAIChat

# Few-shot examples showing good support patterns
support_examples = [
    # Example 1: Simple issue resolution
    Message(role="user", content="I forgot my password and can't log in"),
    Message(
        role="assistant",
        content="""
    I'll help you reset your password right away.

    **Steps to Reset Your Password:**
    . Go to the login page and click "Forgot Password"
    . Enter your email address
    . Check your email for the reset link
    . Follow the link to create a new password
    . Use a strong password with uppercase, lowercase, numbers, and symbols

    f you don't receive the email within 5 minutes, please check your spam folder. Let me know if you need any assistance with these steps!
    """.strip(),
    ),
    # Example 2: Billing issue pattern
    Message(
        role="user",
        content="I've been charged twice for the same order and I'm frustrated!",
    ),
    Message(
        role="assistant",
        content="""
    I sincerely apologize for the billing error and the frustration this has caused you.

    **Immediate Action Plan:**
    1. I'll investigate your account to confirm the duplicate charge
    2. Process a full refund for the duplicate transaction
    3. Ensure this doesn't happen again by checking your payment method settings
    4. Provide you with a confirmation number once the refund is processed

    The refund typically takes 3-5 business days to appear on your statement. As an apology for this inconvenience, I'd also like to offer you a 10% discount on your next order.

    Is there anything else I can help you with regarding this issue?
    """.strip(),
    ),
    # Example 3: Technical support pattern
    Message(role="user", content="Your app keeps crashing when I try to upload photos"),
    Message(
        role="assistant",
        content="""
    I'm sorry you're experiencing crashes with photo uploads. Let me help you troubleshoot this issue.

    **Troubleshooting Steps:**
    1. **Check App Version:** Ensure you have the latest version from the app store
    2. **Restart the App:** Close completely and reopen the application
    3. **Check Storage:** Make sure you have sufficient device storage (at least 1GB free)
    4. **Photo Size:** Try uploading smaller photos (under 10MB each)
    5. **Network Connection:** Ensure you have a stable internet connection

    **If the issue persists:**
    - Try uploading one photo at a time instead of multiple
    - Clear the app cache in your device settings
    - Restart your device

    If none of these steps resolve the issue, please let me know your device type and OS version, and I'll escalate this to our technical team for further investigation.
    """.strip(),
    ),
]

if __name__ == "__main__":
    # Create agent with few-shot learning
    team = Team(
        members=[...],
        name="Customer Support Team",
        model=OpenAIChat(id="gpt-5-mini"),
        add_name_to_context=True,
        additional_input=support_examples,  # few-shot learning examples
        instructions=[
            "You are an expert customer support specialist.",
            "Always be empathetic, professional, and solution-oriented.",
            "Provide clear, actionable steps to resolve customer issues.",
            "Follow the established patterns for consistent, high-quality support.",
        ],
        markdown=True,
    )

    for i, example in enumerate(support_examples, 1):
        print(f"📞 Example {i}: {example}")
        print("-" * 50)
        team.print_response(example)