unchained-ai

What problem does it solve?

Expert knowledge for the unchained-ai LLM pipeline library including pipeline primitives, provider registry, model catalogs, rig-core integration, code generation, and agent status monitoring. Use when working in unchained-ai/, building LLM pipelines, adding providers/models, implementing pipeline steps, running the model generator, or querying agentic platform limits.

Core Features & Use Cases

• Documentation and guidance on the unchained-ai architecture, including primitive traits, provider models, model metadata, and rig-core tooling.
• Examples and references for extending pipelines, integrating new providers, and monitoring agent status within the monorepo.
• Real-world use cases for building end-to-end LLM workflows and ensuring scalable, auditable tooling.

Quick Start

Review the repository structure and core modules to understand how to extend or use unchained-ai in your projects.