A LiteLLM alternative, for when the runaway isn't OpenAI

Why "LiteLLM alternative" gets mis-searched

When engineers find LiteLLM, three things happen in quick succession. First they discover virtual keys and daily dollar caps and budget alerts — the exact safety primitives they wanted for their autonomous agent. Second they wire it up in a Thursday afternoon and it immediately stops a runaway OpenAI loop the following week. Third, a month later, a different runaway bills $4,000 of Stripe charges because the same agent was also issuing refunds in a tight retry loop — and LiteLLM, they then learn, does not see Stripe traffic.

At that moment a subset of people type "litellm alternative" into Google. Most of them don't actually need an alternative to LiteLLM; LiteLLM is still doing its job. What they need is the equivalent safety net on the other API surface their agent touches. That's Keybrake.

The category split that nobody explains clearly

A modern agent fires two kinds of outbound traffic. One is LLM inference (chat completions, embeddings, image generation). The other is tool calls to SaaS APIs — POST /v1/charges on Stripe, POST /Messages on Twilio, POST /emails on Resend, POST /products on Shopify. The two categories look similar (HTTP + bearer token + JSON) but differ sharply on three dimensions that decide which governance tool fits:

These are not nitpicks. They are the reason LiteLLM's architecture can't be pointed at Stripe without fundamentally new code: the cost function is different, the URL path translation is different, the auth envelope is different, and the response parser is different. LiteLLM could in theory add Stripe support. It hasn't, and the roadmap shows no sign of it. The team is optimising for model coverage, not money-moving-API coverage.

When Keybrake is the actual LiteLLM alternative

There's exactly one scenario where Keybrake replaces LiteLLM wholesale: your agent hits no LLMs directly. That's less weird than it sounds. Plenty of agent runs are orchestrated by a cloud workflow (Temporal, Inngest, AWS Step Functions) or a coding assistant (Cursor, Lovable, Replit Agent) that handles the LLM side upstream. The workflow's tool-call leaves hit Stripe and Twilio directly, not OpenAI. For those leaves you want Keybrake.

Otherwise Keybrake sits beside LiteLLM, not in front of it.

The dual-proxy pattern

The pattern serious teams have landed on:

              ┌──────────────┐      tokens        ┌──────────┐
              │              ├───────────────────► │ LiteLLM  │──► OpenAI / Anthropic / …
              │  your agent  │                     └──────────┘
              │              │      charges / SMS  ┌──────────┐
              │              ├───────────────────► │ Keybrake │──► Stripe / Twilio / Resend / …
              └──────────────┘                     └──────────┘
              │
              └── agent_run_id propagated to both proxies →
                  joined post-hoc for a full run audit

Both proxies receive x-agent-run-id: run_abc as a request header; both write it into their respective audit tables. A SQL join on that one column gives you the full per-run spend breakdown: tokens from LiteLLM, dollars from Keybrake, reconciled. Neither proxy has to know about the other. Each caps its own blast radius independently.

When LiteLLM is still the right answer (be honest)

If any of these is true, stay on LiteLLM and don't bolt us on yet:

• Your agent only talks to LLM endpoints. Classic copilot, summariser, classifier. The SaaS-tool dollars don't exist, so the SaaS-tool proxy doesn't buy you anything.
• Your only SaaS API is read-only (search, list, fetch). A runaway read-loop costs CPU on your side, not money on theirs. Rate-limit it at the HTTP client and move on.
• You're already self-hosting LiteLLM and want one control plane. If the operational burden of adding a second proxy outweighs the incident risk, LiteLLM's virtual-key UX is strong enough to defer; keep an eye on the incident backlog and re-evaluate after one near-miss.

Keybrake vs LiteLLM at a glance

Migrating or adding: concrete next step

If you already run LiteLLM and want to add SaaS-tool governance, there's no migration — you're stacking, not switching. The minimum viable addition:

1. Issue a Keybrake vault_key_… bound to your Stripe secret. Attach a daily cap (start conservative, e.g. $100/day).
2. In the code where your agent calls Stripe, change the base URL from https://api.stripe.com to https://proxy.keybrake.com/stripe. Replace the Stripe secret with the vault key.
3. Add x-agent-run-id: <same run ID you pass to LiteLLM> as a request header.
4. Repeat for Twilio and Resend if your agent talks to them.

No LiteLLM config changes. The two proxies do not know about each other; they just both log what they saw with the same run ID.

Further reading

• LiteLLM alternative for Stripe — the technical explainer: why pointing LiteLLM at Stripe fails on three fronts.
• LiteLLM alternatives (honest open-source review) — five real LLM-gateway alternatives evaluated, with the pivot question "is your problem actually Stripe?" at the end.
• LiteLLM vs Keybrake (head-to-head) — same comparison, table-first, for readers who want the verdict without the narrative.
• AI agent kill-switches — 4 patterns with measured stop-latency — what "revoke the key" actually achieves, per vendor.