Tool Examples

from definable.tool.decorator import tool

@tool
def greet(name: str) -> str:
    """Greet someone by name."""
    return f"Hello, {name}!"

# The tool auto-generates its JSON Schema from type hints
print(greet.name)        # "greet"
print(greet.description) # "Greet someone by name."
print(greet.parameters)  # JSON Schema

python definable/examples/tools/01_basic_tool.py

from typing import List, Literal, Optional
from definable.tool.decorator import tool

@tool
def search(
    query: str,
    max_results: int = 10,
    category: Literal["all", "news", "images"] = "all",
    tags: Optional[List[str]] = None,
) -> str:
    """Search with filters.

    Args:
        query: The search query.
        max_results: Maximum results to return.
        category: Category to search in.
        tags: Optional tags to filter by.
    """
    return f"Searching '{query}' in {category} (max {max_results})"

python definable/examples/tools/02_tool_parameters.py

import httpx
from definable.tool.decorator import tool

@tool
async def fetch_url(url: str) -> str:
    """Fetch the contents of a URL."""
    async with httpx.AsyncClient() as client:
        response = await client.get(url)
        return response.text[:500]

python definable/examples/tools/03_async_tools.py

from definable.tool.decorator import tool

def log_before(tool_name, args):
    print(f"  -> Calling {tool_name} with {args}")

def log_after(tool_name, args, result):
    print(f"  <- {tool_name} returned: {result[:50]}...")

@tool(pre_hook=log_before, post_hook=log_after)
def analyze(text: str) -> str:
    """Analyze text sentiment."""
    return f"Positive sentiment detected in: {text}"

python definable/examples/tools/04_tool_hooks.py

from definable.tool.decorator import tool

@tool(cache_results=True, cache_ttl=300)
def expensive_search(query: str) -> str:
    """Search that takes a long time (cached for 5 minutes)."""
    import time
    time.sleep(2)  # Simulate slow operation
    return f"Results for: {query}"

# First call: 2 seconds
result1 = expensive_search.entrypoint("test query")

# Second call: instant (cached)
result2 = expensive_search.entrypoint("test query")

python definable/examples/tools/05_tool_caching.py

from definable.agent import Agent, AgentConfig
from definable.model.openai import OpenAIChat
from definable.tool.decorator import tool

class Database:
    def query(self, sql: str) -> str:
        return f"Query result: [{sql}]"

@tool
def run_query(sql: str, _dependencies: dict = None) -> str:
    """Run a database query."""
    db = _dependencies["db"]
    return db.query(sql)

agent = Agent(
    model=OpenAIChat(id="gpt-4o-mini"),
    tools=[run_query],
    config=AgentConfig(dependencies={"db": Database()}),
)

output = agent.run("Show me all users")
print(output.content)

python definable/examples/tools/06_tool_dependencies.py