CML

Clever Model LLM Orchestrator

Project Overview

CML is a deterministic orchestration layer designed to manage and coordinate interactions with large language models (LLMs). It provides a structured execution environment that transforms raw model capabilities into predictable, controlled, and production-ready behavior.

Orchestrator Concept

The orchestrator acts as an intelligent control system between the client and underlying LLM backends. It does not execute actions directly but instead plans, validates, schedules, and formats operations. This separation ensures reliability, traceability, and strict adherence to defined protocols.

Pipeline Architecture

CML operates through a structured pipeline that processes each request in clearly defined stages. Each stage is responsible for a single concern, ensuring deterministic behavior and full observability.

request → normalization → task planning → scheduling → execution → aggregation → validation → response formatting

Execution Flow

Incoming requests are analyzed and decomposed into smaller logical tasks. These tasks are distributed across available model backends and processed in a controlled manner. Results are then aggregated and normalized into a unified response that complies with the client protocol.

Design Principles

The system is built on strict principles of determinism, modularity, and transparency. Each component has a clearly defined responsibility, and all operations are validated to prevent undefined or unsafe behavior.

Use Case

CML is designed for environments where reliability and control over LLM behavior are critical. It enables scalable orchestration of multiple models while maintaining a consistent and predictable interface.