duckduckgo_tools_advanced.py
"""
DuckDuckGo Tools - Advanced Configuration
==========================================
Demonstrates advanced DuckDuckGoTools configuration with timelimit, region,
and backend parameters for customized search behavior.
Parameters:
- timelimit: Filter results by time ("d" = day, "w" = week, "m" = month, "y" = year)
- region: Localize results (e.g., "us-en", "uk-en", "de-de", "fr-fr", "ru-ru")
- backend: Search backend ("api", "html", "lite")
"""
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.duckduckgo import DuckDuckGoTools
# ---------------------------------------------------------------------------
# Example 1: Time-limited search (results from past week)
# ---------------------------------------------------------------------------
# Useful for finding recent news, updates, or time-sensitive information
weekly_search_agent = Agent(
model=OpenAIChat(id="gpt-4o"),
tools=[
DuckDuckGoTools(
timelimit="w", # Results from past week only
enable_search=True,
enable_news=True,
)
],
instructions=["Search for recent information from the past week."],
)
# ---------------------------------------------------------------------------
# Example 2: Region-specific search (US English results)
# ---------------------------------------------------------------------------
# Useful for localized results based on user's region
us_region_agent = Agent(
model=OpenAIChat(id="gpt-4o"),
tools=[
DuckDuckGoTools(
region="us-en", # US English results
enable_search=True,
enable_news=True,
)
],
instructions=["Search for information with US-localized results."],
)
# ---------------------------------------------------------------------------
# Example 3: Different backend options
# ---------------------------------------------------------------------------
# The backend parameter controls how DuckDuckGo is queried
# API backend - uses DuckDuckGo's API
api_backend_agent = Agent(
model=OpenAIChat(id="gpt-4o"),
tools=[
DuckDuckGoTools(
backend="api",
enable_search=True,
enable_news=True,
)
],
)
# HTML backend - parses HTML results
html_backend_agent = Agent(
model=OpenAIChat(id="gpt-4o"),
tools=[
DuckDuckGoTools(
backend="html",
enable_search=True,
enable_news=True,
)
],
)
# Lite backend - lightweight parsing
lite_backend_agent = Agent(
model=OpenAIChat(id="gpt-4o"),
tools=[
DuckDuckGoTools(
backend="lite",
enable_search=True,
enable_news=True,
)
],
)
# ---------------------------------------------------------------------------
# Example 4: Combined configuration - Full customization
# ---------------------------------------------------------------------------
# Combine all parameters for maximum control over search behavior
fully_configured_agent = Agent(
model=OpenAIChat(id="gpt-4o"),
tools=[
DuckDuckGoTools(
timelimit="w", # Results from past week
region="us-en", # US English results
backend="api", # Use API backend
enable_search=True,
enable_news=True,
fixed_max_results=10, # Limit to 10 results
timeout=15, # 15 second timeout
)
],
instructions=[
"You are a research assistant that finds recent US news and information.",
"Always provide sources for your findings.",
],
)
# ---------------------------------------------------------------------------
# Example 5: European region search with monthly timelimit
# ---------------------------------------------------------------------------
eu_monthly_agent = Agent(
model=OpenAIChat(id="gpt-4o"),
tools=[
DuckDuckGoTools(
timelimit="m", # Results from past month
region="de-de", # German results
enable_search=True,
enable_news=True,
)
],
instructions=["Search for information with German-localized results."],
)
# ---------------------------------------------------------------------------
# Example 6: Daily news search
# ---------------------------------------------------------------------------
# Perfect for finding breaking news and today's updates
daily_news_agent = Agent(
model=OpenAIChat(id="gpt-4o"),
tools=[
DuckDuckGoTools(
timelimit="d", # Results from past day only
enable_search=False, # Disable web search
enable_news=True, # Enable news only
)
],
instructions=[
"You are a news assistant that finds today's breaking news.",
"Focus on the most recent and relevant stories.",
],
)
# ---------------------------------------------------------------------------
# Run Examples
# ---------------------------------------------------------------------------
if __name__ == "__main__":
# Example 1: Weekly search
print("\n" + "=" * 60)
print("Example 1: Time-limited search (past week)")
print("=" * 60)
weekly_search_agent.print_response(
"What are the latest developments in AI?", markdown=True
)
# Example 2: US region search
print("\n" + "=" * 60)
print("Example 2: Region-specific search (US English)")
print("=" * 60)
us_region_agent.print_response("What are the trending tech topics?", markdown=True)
# Example 3: API backend
print("\n" + "=" * 60)
print("Example 3: API backend")
print("=" * 60)
api_backend_agent.print_response("What is quantum computing?", markdown=True)
# Example 4: Fully configured agent
print("\n" + "=" * 60)
print("Example 4: Fully configured agent (weekly, US, API backend)")
print("=" * 60)
fully_configured_agent.print_response(
"Find recent news about renewable energy in the US", markdown=True
)
# Example 5: European region with monthly timelimit
print("\n" + "=" * 60)
print("Example 5: European region (German) with monthly timelimit")
print("=" * 60)
eu_monthly_agent.print_response(
"What are the latest technology trends?", markdown=True
)
# Example 6: Daily news
print("\n" + "=" * 60)
print("Example 6: Daily news search")
print("=" * 60)
daily_news_agent.print_response(
"What are today's top headlines in technology?", markdown=True
)
Run the Example
1
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
uv venv --python 3.12
.venv\Scripts\activate
2
Install dependencies
uv pip install -U agno ddgs openai
3
Export your OpenAI API key
export OPENAI_API_KEY="your_openai_api_key_here"
$Env:OPENAI_API_KEY="your_openai_api_key_here"
4
Run the example
Save the code above as
duckduckgo_tools_advanced.py, then run:python duckduckgo_tools_advanced.py