Grower Skill Tree Example

The capability-example crate provides a comprehensive framework for managing the growth and configuration of complex skill trees using both automated and manual strategies. This is particularly impactful in domains like machine learning or AI-driven environments where the generation, validation, and integration of model snippets are critical.

Features

• ClipboardSnippet Management: Process model snippets from the clipboard and integrate into partially grown models.
• Flow Strategies: Utilize either ManualFlowStrategy or AutomatedFlowStrategy to fulfill missing components in model configurations.
• Error Handling: Comprehensive error types to manage partial generation and language model client errors.
• Model Generation: Automatically or manually generate components like JustifiedGrowerTreeConfiguration, StringSkeleton, CoreStringSkeleton, and more.

Installation

Add the following to your Cargo.toml:

[dependencies]
capability-example = "0.1.0"

Usage

use capability_example::{GrowerFlowStrategy, ManualFlowStrategy, PartiallyGrownModel};

async fn example_usage() {
    let strategy = ManualFlowStrategy::from(query_output_path);
    let mut model = PartiallyGrownModel::empty();
    strategy.fill_justified_tree_configuration(&mut model, &grower_inputs).await;
}

Generative processes are supported by back-end connectivity with language models which require appropriate client configurations, and assume usage where JSON repair and fuzzy parsing strategies are relevant.

Advanced Concepts

The crate heavily utilizes async Rust with async_trait for defining trait methods that can be async. Moreover, environments can be customized through various configuration types, ensuring the skill tree growth strategy is always contextually aware.

This README.md was generated by an AI model and may not be 100% accurate, however it should be pretty good.