📁 Subsystem Deep Dive

tools/WebSearchTool/

📁 tools/WebSearchTool/ 📄 7 files

Tutorial: WebSearchTool

This project implements a comprehensive Web Search Tool that enables an AI assistant to fetch real-time information from the internet. It relies on a strict lifecycle to manage input validation, executes searches via a streaming strategy to provide live feedback, and strictly formats the final output with markdown citations to ensure the information is verifiable and user-friendly.

flowchart TD A0["Tool Definition & Lifecycle"] A1["Data Contract (Schemas)"] A2["Streaming Execution Strategy"] A3["Prompt Engineering Context"] A4["Interface Rendering (UI)"] A5["Result Processing & Serialization"] A0 -->|"Enforces structure via"| A1 A0 -->|"Retrieves instructions from"| A3 A0 -->|"Initiates"| A2 A0 -->|"Configures visualization with"| A4 A0 -->|"Parses results using"| A5

Chapters

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Files in this section

01_tool_definition___lifecycle.md

Chapter 1: Tool Definition & Lifecycle

Welcome to the WebSearchTool project! In this tutorial series, we are going to build a bridge that allows an AI (like C…

02_data_contract__schemas_.md

Chapter 2: Data Contract (Schemas)

In Chapter 1: Tool Definition & Lifecycle, we introduced the WebSearchTool as a specialized "contractor" we hire to bro…

03_prompt_engineering_context.md

Chapter 3: Prompt Engineering Context

Welcome back! In Chapter 2: Data Contract (Schemas), we built strict "Customs Declaration Forms" (Schemas) so our AI kn…

04_streaming_execution_strategy.md

Chapter 4: Streaming Execution Strategy

In Chapter 3: Prompt Engineering Context, we gave our AI a "Mission Briefing" (the current date and rules for citation)…

05_result_processing___serialization.md

Chapter 5: Result Processing & Serialization

In Chapter 4: Streaming Execution Strategy, we learned how to act like a "Live Sports Commentator," streaming events fr…

06_interface_rendering__ui_.md

Chapter 6: Interface Rendering (UI)

Welcome to the final chapter of our series!