Tavily

from upsonic import Agent, Task
from upsonic.tools.common_tools import tavily_search_tool

# Create Tavily search tool (requires API key)
tavily_search = tavily_search_tool(api_key="your_tavily_api_key_here")

# Create task
task = Task(
    description="Search for 'machine learning news'",
    tools=[tavily_search]
)

# Create agent
agent = Agent(model="anthropic/claude-sonnet-4-5", name="Tavily Search Agent")

# Execute
result = agent.print_do(task)
print("Result:", result)

from upsonic import Agent, Task
from upsonic.tools.common_tools import tavily_search_tool

# Create Tavily search with API key
tavily_search = tavily_search_tool(api_key="your_api_key")

# Advanced search task
task = Task(
    description="""
    Search for recent AI developments using these parameters:
    - Search depth: advanced
    - Topic: news
    - Time range: week
    """,
    tools=[tavily_search]
)

agent = Agent(model="anthropic/claude-sonnet-4-5", name="Advanced Search Agent")
result = agent.print_do(task)
print("Result:", result)

[
    {
        "title": "Article Title",
        "url": "https://example.com/article",
        "content": "Article excerpt or description",
        "score": 0.95  # Relevance score
    },
    # ... more results
]

uv pip install tavily-python