OneCLI vs LiteLLM

LiteLLM governs your LLM traffic. OneCLI governs everything your agent touches. Most serious agent stacks want both.

Updated Jul 20, 2026

The short version

Different layers, and they compose. LiteLLM is an AI gateway: one OpenAI-format API for 100+ LLM providers, with virtual keys, spend tracking, and routing. OneCLI is a credential gateway: it keeps real keys out of the agent for every API it calls, LLM or not, with per-request policy. If your agent only ever talked to models, LiteLLM would cover it. Agents also push to GitHub, hit Stripe, and query databases, and that is the traffic OneCLI exists for.

The confusion is understandable: both are proxies that hold real credentials so your code does not have to. LiteLLM does this well for LLM providers: your app carries a LiteLLM virtual key, provider keys stay in the gateway, and budgets and rate limits apply per key, team, and model.

The gap is everything else. An agent's riskiest calls are usually not its model calls: most of what an agent does is ordinary HTTPS to ordinary APIs, holding credentials an LLM gateway never sees.

How they differ

LiteLLM

The model

Built for

onecli

Keeping credentials out of AI agents for every API they call

LiteLLM

One unified API and gateway for 100+ LLM providers

A credential boundary for agent traffic versus an abstraction and control plane for model traffic.

What the app holds

onecli

A placeholder (onecli-managed); real keys injected at the proxy

LiteLLM

A LiteLLM virtual key; provider keys stay in the gateway

Both broker the real key. The question is which traffic gets that protection.

Traffic covered

onecli

All HTTPS: LLM providers, GitHub, Stripe, Slack, your own APIs

LiteLLM

LLM provider endpoints (OpenAI format, plus provider pass-throughs)

The refund an agent posts to Stripe never crosses an LLM gateway.

Runtime control

Per-request verdicts

onecli

Allow, block, hold for approval, or rate limit any API call

LiteLLM

Guardrails, budgets, and TPM/RPM limits on LLM calls

Strong controls for model usage; nothing covers the DELETE the agent sends to your repo host.

Human-in-the-loop

onecli

Hold an individual request until a human approves it

LiteLLM

Not offered

Sensitive actions get a human gate without pausing the rest of the agent's work.

Spend controls

onecli

Spend budgets per credential (cloud)

LiteLLM

Spend tracking and budgets per key, team, and model, with a dashboard

LiteLLM's LLM cost tooling is deeper. If model spend is your main worry, that is their home turf.

LLM operations

Routing, fallbacks, caching

onecli

Not offered: OneCLI forwards your calls unchanged

LiteLLM

Load balancing, provider fallbacks, and caching built in

Multi-provider resilience is LiteLLM's core value. OneCLI does not try to compete there.

Integration model

onecli

Transparent: point HTTPS_PROXY at the gateway, no code changes

LiteLLM

Point your SDK at the proxy base URL and use OpenAI format

Different by design: OneCLI intercepts existing traffic; LiteLLM standardizes how you make it.

Open source

onecli

Open source gateway plus a cloud dashboard

LiteLLM

Open source, with a very large community and a hosted offering

Both auditable. Both, as it happens, YC companies.

Running both

This is the rare comparison where the best answer is often a pipeline. Route the agent's traffic through OneCLI so no real credential ever sits in its environment. Send the LLM portion onward to LiteLLM for routing, fallbacks, and spend tracking. The LiteLLM virtual key itself lives in OneCLI's store, so even your gateway key is injected per request rather than held by the agent. Each layer does the thing it is best at.

When to use which

Use LiteLLM when

·You call multiple LLM providers and want one API, with fallbacks and load balancing
·You need per-team and per-model spend tracking and budgets for LLM usage
·Your exposure is model traffic: the code calling other APIs is deterministic and reviewed

Use OneCLI when

·Agents call more than models: repos, payments, messaging, databases, internal APIs
·You want prompt injection to be unable to exfiltrate any key, not just LLM keys
·You need per-request policy on real-world actions: block, approve, rate limit
·You want protection without code changes, for any framework that speaks HTTPS

Common questions

Isn't an LLM gateway enough to secure my agent?

It secures one lane. LiteLLM governs traffic to model providers, but agents also act on the world through ordinary APIs, and those calls carry your most dangerous credentials. A gateway that only sees LLM traffic cannot block a bad Stripe refund or a repo deletion.

Can OneCLI replace LiteLLM?

Only if you don't need what LiteLLM is for. OneCLI has no unified provider API, no model routing or fallbacks, and lighter LLM spend tooling. If you use those, keep LiteLLM and put OneCLI in front of the agent.

How do they work together?

Agent traffic goes through OneCLI via HTTPS_PROXY. LLM calls continue to LiteLLM, whose virtual key is stored in OneCLI and injected per request. Non-LLM calls get OneCLI's policy verdicts. No credential of any kind lives in the agent's environment.