The Best Omni Route Alternatives in 2026

OpenLIT provides observability and evaluation for AI agents and coding agents, tracing models, tools, prompts, costs, and workflows.

Manifest connects AI agents and tools to multiple model providers through an LLM gateway.

Glide provides an open model gateway for developing production generative AI applications.

Langfuse provides open-source evaluation and observability tools for tracing and improving AI agents.

Observability and prompt management platform for LLM-based apps. Take your LLMs to the next level.

LLM Gateway routes, manages, and analyzes requests across more than 40 language-model providers through one API.

The abso TypeScript SDK calls more than 100 LLM providers through an OpenAI compatible format.

LiteLLM provides an AI gateway and LLM proxy with model routing, usage tracking, spend controls, and support for many providers.

Ollama runs language models locally and provides tools to work with model files and APIs.

OneCompression is a Python package for compressing large language models.

Hugging Face Text Embeddings Inference serves text embedding models through an inference solution.

Eden AI routes requests across language and other AI models through a unified API with provider options.

PromptSite provides prompt version management for tracking, experimentation, and debugging LLM prompts.

DeepEval is an LLM evaluation framework.

A JavaScript Native PyTorch-aligned Machine Learning Framework, built from scratch on WebGPU.

Stakpak runs an agent on a machine to ship code and keep applications running.

OpenModelZ scales LLM inference on Kubernetes with engines including vLLM, SGLang, and LMDeploy.

Bifrost by Maxim AI is an open-source AI gateway for LLMs, MCP and agents with routing, governance, guardrails and observability, supporting 8+ providers and 1000+ models via a drop-in SDK replacement.

Manifest routes language model requests from agents to providers, with subscription, usage-based, and local model options.

MLflow helps teams build AI products by debugging, evaluating, monitoring, and improving AI applications.

Kitaru provides agent traces that teams can run and inspect during application workflows.

Entroly reduces AI context size with reversible compression and receipts for recovering the original content.

Future AGI evaluates and observes AI and agent applications with tracing, simulations, datasets, and guardrails.

Latitude provides observability for AI agents and helps teams trace failures and verify fixes.