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Building Advanced Tools for LLM Agents

Chapter 1: Foundations of LLM Agent Tooling

The Role of Tools in LLM Agent Capabilities

Understanding Tool Specifications and Descriptions

Designing Tool Interfaces for LLM Interaction

Best Practices for Tool Input and Output Schemas

Error Handling Strategies in Tool Execution

Security Principles for LLM Agent Tools

Hands-on: Crafting Your First Tool Definition

Quiz for Chapter 1

Chapter 2: Developing Custom Python Tools

Implementing Tools as Python Functions and Classes

Managing State and Context in Stateful Tools

Interacting with External Services: APIs and Databases

Validating and Sanitizing Tool Inputs

Structuring Complex Tool Outputs for LLMs

Asynchronous Tool Operations for Non-Blocking Tasks

Practice: Building a Database Query Tool

Quiz for Chapter 2

Chapter 3: Tool Selection and Orchestration

Agent-Driven Tool Selection Mechanisms

Designing Multi-Step Tool Execution Flows

Managing Dependencies Between Tool Calls

Conditional Tool Execution Logic

Recovering from Failures in Tool Chains

Implementing Sequential and Parallel Tool Use

Hands-on: Orchestrating a Multi-Tool Agent

Quiz for Chapter 3

Chapter 4: Integrating External APIs as Tools

Authenticating and Authorizing API Access for Tools

Parsing and Transforming API Responses

Handling API Rate Limits and Retries

Techniques for Mapping Natural Language to API Calls

Summarizing and Presenting API Data to LLMs

Security Aspects of API Tool Integration

Practice: Wrapping a Public API as an LLM Tool

Quiz for Chapter 4

Chapter 5: Advanced Tool Functionality

Tools for Code Interpretation and Execution

Developing Web Browsing and Content Extraction Tools

Creating Tools for File System Operations

Tools that Interact with User Interfaces

Considerations for Tools Requiring Human-in-the-Loop

Building Tools that Generate Structured Data

Hands-on: A Simple File Manipulation Tool

Quiz for Chapter 5

Chapter 6: Testing, Monitoring, and Maintaining Tools

Unit and Integration Testing for Agent Tools

Monitoring Tool Performance and Reliability

Logging Tool Invocations and LLM Interactions

Strategies for Versioning and Updating Tools

Evaluating Tool Effectiveness and LLM's Tool Usage

Debugging Common Issues in Tool-Augmented Agents

Practice: Setting Up Basic Logging for Tool Usage

Quiz for Chapter 6

Building Advanced Tools for LLM Agents

Prerequisites Python proficiency, LLM basics.

Level:

Intermediate

Custom Tool Development
Design and implement custom tools for LLM agents using Python, enabling specific functionalities and interactions.
API Integration
Integrate external APIs and services as reliable tools, allowing agents to access and utilize real-world data and services.
Tool Orchestration
Implement strategies for agent-driven tool selection and the coordination of multi-step tool execution sequences.
Tool Robustness
Apply effective error handling, input validation, and output structuring techniques to create dependable tools.
Tool Lifecycle Management
Establish procedures for testing, monitoring, versioning, and maintaining LLM agent tools for long-term viability.

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