Tool Use
Master how AI agents use tools and APIs. Learn function calling, tool selection, tool chaining, and integrating external capabilities.
Prerequisites
Complete Level 1: Foundations
🎯What You'll Learn
- ✓Function calling with language models
- ✓Tool use frameworks and design patterns
- ✓API integration strategies
- ✓Tool selection and chaining
- ✓Error handling in tool use
💪Skills You'll Gain
🏆Learning Outcomes
📖Interactive Modules (10)
Tool Calling Basics
Learn function calling, how agents invoke external tools and APIs to complete tasks.
Function Schemas & Definitions
Master function schemas, defining tool parameters, types, and descriptions for agents.
Tool Selection Strategies
Understand how agents select the right tools for tasks using reasoning and context.
Tool Execution & Results
Learn tool execution flow: parameter extraction, API calls, result processing.
Building Custom Tools
Build custom tools for agents: Python functions, API wrappers, and database connectors.
Tool Composition Patterns
Master tool composition, chaining multiple tools to accomplish complex workflows.
Error Handling in Tools
Implement robust error handling for tool failures, retries, and graceful degradation.
Tool Libraries & Registries
Explore tool libraries and registries for pre-built agent capabilities.
Parallel Tool Calling
Learn parallel tool calling to execute multiple functions simultaneously for efficiency.
Interactive Tool Playground
Experiment with tool design and execution in an interactive playground.