Results for llm-optimizer

Production-ready main service binary for LLM Auto Optimizer

Beautiful CLI tool with 40+ commands

Fast, privacy-focused CLI for recording windows and generating LLM-optimized videos

CLI for UniFi Site Manager (API v1/EA)

A shadcn/ui for Minecraft Plugins - CLI tool for scaffolding UI primitives

PMAT - Zero-config AI context generation and code quality toolkit (CLI, MCP, HTTP)

TOON (Token-Oriented Object Notation) support for RustAPI - LLM-optimized data format

SochDB - LLM-optimized database with native vector search

ToonDB - LLM-optimized database with native vector search

Parse and apply LLM-optimized unified diff + XML file changes

High-performance gRPC API with streaming support

CLI tool to aggregate directory contents into a single markdown file optimized for LLM consumption

llm_optimizer reduces LLM API costs by up to 80% through semantic caching, intelligent model routing, token pruning, and conversation history summarization. Strictly opt-in and non-invasive.

A comprehensive Ruby tool for building and optimizing documentation for Large Language Models. Features include: generating llms.txt files from documentation directories with automatic file prioritization, transforming individual markdown files by expanding relative links to absolute URLs, bulk transforming entire documentation trees with customizable exclusion patterns, comparing content sizes to measure context window savings, and serving LLM-optimized documentation. Provides both CLI and Ruby API with configuration file support.

A Minitest reporter optimized for Large Language Model consumption, featuring compact emoji-based output, regression detection by comparing test runs, TOML report generation, and detailed failure reporting with file locations. Perfect for AI-assisted development workflows.

Compact serialization format optimized for LLM contexts with 30-60% token reduction compared to JSON

CTON provides a JSON-compatible, token-efficient text representation optimized for LLM prompts.

JsonMend is a robust Ruby gem designed to repair broken or malformed JSON strings. It is specifically optimized to handle common errors found in JSON generated by Large Language Models (LLMs), such as missing quotes, trailing commas, unescaped characters, and stray comments

Converts SimpleCov coverage data into a JSON format optimized for LLM/AI consumption — per-file summaries, uncovered ranges, optional source snippets. Works as a SimpleCov formatter plugin (auto-emit during test runs) or via a programmatic Ruby API.

A comprehensive Ruby implementation of a Knowledge-Based System featuring: • RETE Algorithm: Optimized forward-chaining inference engine with unlinking optimization for high-performance pattern matching • Declarative DSL: Readable, expressive syntax for rule definition with built-in condition helpers • Blackboard Architecture: Multi-agent coordination with message passing and knowledge source registration • Flexible Persistence: SQLite (durable), Redis (fast), and hybrid storage backends with audit trails • Concurrent Execution: Thread-safe auto-inference mode for real-time processing • AI Integration: Native support for LLM integration (Ollama, OpenAI) for hybrid symbolic/neural reasoning • Production Features: Session management, fact history, query API, statistics tracking Perfect for expert systems, trading algorithms, IoT monitoring, portfolio management, and AI-enhanced decision systems.

Chiridion generates documentation optimized for AI agents and LLMs working with Ruby codebases. It extracts documentation from YARD comments, merges RBS type signatures, and produces structured markdown suitable for context injection. Features: - YARD-based documentation extraction - RBS type signature integration (RBS is authoritative) - RSpec example extraction - Obsidian-compatible wikilinks for cross-references - Drift detection for CI/CD pipelines - toys/dx CLI task definitions

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