Toolkits

Toolkits are cohesive collections of tools that provide domain-specific capabilities. They encapsulate related functionality and provide consistent interfaces for agents to interact with external services, APIs, and systems.

Core Principles

Encapsulation and Abstraction

Toolkits encapsulate complex operations behind clean interfaces:

Hide implementation details
Provide consistent error handling
Manage authentication and configuration
Abstract service-specific complexities

Cohesive Functionality

Each toolkit focuses on a specific domain or service:

Related operations grouped together
Shared configuration and state
Common error handling patterns
Consistent interface patterns

Reusability and Composition

Toolkits are designed for reuse across different contexts:

Independent of specific agents or tasks
Composable with other toolkits
Configurable for different use cases
Maintainable as separate units

Toolkit Architecture

A toolkit typically consists of:

Base Configuration
- Service authentication
- Common settings
- Shared resources
Core Operations
- Primary functionality
- Standard interfaces
- Error handling
Type Definitions
- Input/output schemas
- Validation rules
- Type safety

Design Principles

When creating toolkits:

Single Responsibility
- Focus on one domain or service
- Clear boundaries of functionality
- Cohesive operations
Robust Error Handling
- Graceful failure modes
- Clear error messages
- Recovery mechanisms
Clean Interfaces
- Well-defined methods
- Clear documentation
- Type safety
Configuration Management
- Secure credential handling
- Flexible settings
- Environment awareness

Implementation Patterns

Toolkits follow common patterns:

Service Client Wrapper

class ServiceAPI:
    def __init__(self, api_key: str | None = None):
        self.client = ServiceClient(api_key or settings.get_key())

Operation Methods

async def operation(
    self,
    input: str,
    options: Dict[str, Any],
) -> Result:
    try:
        return await self.client.execute(input, options)
    except ServiceError as e:
        handle_error(e)

Type Safety

from typing import Dict, Any

class OperationInput:
    field: str
    options: Dict[str, Any]

Next Steps

Learn about Tasks that use toolkits
Explore Flows for orchestration
Understand Agents that leverage toolkits