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High-performance multi-model orchestration layer powering agent workflows, LLM routing, and enterprise-scale automation.

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sprintloop/sprintloop-orchestration

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sprintloop-orchestration

High-performance multi-model orchestration layer powering agent workflows, LLM routing, and enterprise-scale automation. SprintLoop Orchestration Layer

A high-performance orchestration engine for routing tasks across LLMs, SLMs, and custom agents.

Features

Multi-model routing

Automatic fallback + retry

Cost-aware model selection

Parallel + sequential pipelines

Enterprise-grade logging

Quickstart from sprintloop import Orchestrator

orc = Orchestrator()

task = orc.run( model="gpt-4.1", input="Summarize this document for compliance use." )

print(task.output)

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