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query/

📁 query/ 📄 5 files

Tutorial: query

This project implements a robust execution runtime for an AI agent, designed to manage the lifecycle of user queries safely and efficiently. It utilizes immutable configuration snapshots to ensure consistent behavior and employs a token budget system to intelligently monitor resource usage and prevent infinite loops. Additionally, it features a dependency injection layer for modular testing and post-turn lifecycle hooks that validate the agent's state and handle background tasks before a session concludes.

flowchart TD A0["Token Budget Control"] A1["Post-Turn Lifecycle Hooks"] A2["Immutable Query Configuration"] A3["Dependency Injection Interface"] A2 -->|"Configures constraints for"| A0 A3 -->|"Generates usage tracked by"| A0 A0 -->|"Triggers validation upon stop"| A1

Chapters

  1. Immutable Query Configuration
  2. Token Budget Control
  3. Dependency Injection Interface
  4. Post-Turn Lifecycle Hooks

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Files in this section

01_immutable_query_configuration.md
Chapter 1: Immutable Query Configuration
Welcome to the Query project tutorial! In this series, we will build a robust system for managing AI agent interactions.
02_token_budget_control.md
Chapter 2: Token Budget Control
Welcome back! In Chapter 1: Immutable Query Configuration, we learned how to lock in our "Mission Parameters" (Configur…
03_dependency_injection_interface.md
Chapter 3: Dependency Injection Interface
Welcome back! In Chapter 2: Token Budget Control, we learned how to stop our agent from spending too much money (tokens…
04_post_turn_lifecycle_hooks.md
Chapter 4: Post-Turn Lifecycle Hooks
Welcome to the final chapter of this tutorial series!