by qforge-dev · Agent Tool · ★ 89
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Torque Torque is a declarative, fully typesafe DSL for quickly building complex LLM synthetic datasets. Compose conversations like components, generate realistic variations with any model efficiently. ✨ Features 🎯 Declarative DSL - Compose conversations like components 🔒 Fully Typesafe - Zod schemas with complete type inference 🔌 Provider Agnostic - Generate with any AI SDK provider (OpenAI, Anthropic, DeepSeek, vLLM, LLaMA.cpp etc.) 🤖 AI-Powered Content - Generate realistic varied datasets automatically without complicated scripts 🎭 Faker Integration - Built-in Faker.js with automatic seed synchronization for reproducible fake data 💰 Cache Optimized - Reuses context across generations to reduce costs 📉 Prompt Optimized - Concise, optimized structures, prompts and generation workflow lets you use smaller, cheaper models ♻️ Reusable Patterns - Build libraries of conversation templates ⚡ Concurrent Generati
| Stars | 89 |
| Forks | 5 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 38.25/100 |
| Last Updated | 2025-11-19 |
| Created | 2025-10-30 |
| Platforms | node |
| Est. Tokens | ~24k |
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torque is Torque is a Declarative, typesafe DSL for building synthetic LLM datasets — compose conversations like React components. It is categorized as a Agent Tool with 89 GitHub stars.
torque is primarily written in TypeScript. It covers topics such as ai, ai-sdk, anthropic.
You can find installation instructions and usage details in the torque GitHub repository at github.com/qforge-dev/torque. The project has 89 stars and 5 forks, indicating an active community.
torque is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to torque on Agent Skills Hub include ai-orchestra, ai-reviewer, apex. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.