Can I keep LiteLLM in front of the models?

Yes. Point an Omnia provider at LiteLLM’s OpenAI-compatible endpoint, and Omnia’s testing, rollout and tool policy sit on top.

omnia vs litellm

LiteLLM routes the model call. Omnia runs the agent around it.

Omnia handles what a model gateway can’t see: whether the agent works, how a new version ships and what each tool call may do. LiteLLM routes the model call, with budgets and per-customer limits.

A support agent is about to get a new model behind the same gateway.

on omnia

Swapping the model makes a new version. Simulated customers try it through the real tools before release. Once it passes, it gets part of the traffic and is rolled back if its metrics drop. docs

on litellm

LiteLLM routes the call to the new model, with fallbacks if it fails. Testing and releasing the agent aren’t in scope. their docs

Testing the agent behind the gateway

Each version is tested as a whole agent, in multi-turn conversations with hostile and duplex voice callers, through the tools it’ll use in production. It ships when the suite passes. docs

LiteLLM: A gateway and an agent SDK that routes model calls. source

The caller’s identity in the policy

The end user’s identity comes in from OIDC or your gateway and travels with the agent to every tool call. The policy rule reads it alongside the call’s arguments, and a call it can’t clear is refused. docs enterprise

LiteLLM: Pre-MCP-call guardrails see the arguments; end-user identity drives MCP permissions and budgets. source

Budgets without extra plumbing

Daily and monthly budgets per agent, provider or workspace come with the platform, each with an action on breach. how it works

LiteLLM: Budgets block when exceeded and require a database. source

At a glance

Topic	Omnia	LiteLLM, per its docs
Model providers	yes Seven native protocols and any OpenAI-compatible URL. docs	documented 100+ providers. source
Self-hosted on Kubernetes	yes Helm. docs	documented Helm chart. source
Blocking budgets	yes Yes. how it works	documented Yes. source
Argument-level tool policy	yes Deterministic, with caller identity. docs enterprise	partly Guardrail hooks before MCP calls. source
Simulated users before release	yes Yes. docs	not documented Not documented. source
Stepped rollout, auto rollback	yes Yes. docs	not documented Not in scope. source

Common questions

Can I keep LiteLLM in front of the models?: Yes. Point an Omnia provider at LiteLLM’s OpenAI-compatible endpoint, and Omnia’s testing, rollout and tool policy sit on top.

Put your own agent through the gate.

Install Omnia in your cluster and run it free while you build.

LiteLLM claims are from BerriAI’s published documentation, checked 22 October 2026. Spot something out of date? Tell us.

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