Tokenality vs LiteLLM
LiteLLM is the proxy you run. Tokenality is the control plane on top of it.
LiteLLM is developer infrastructure — an open-source proxy that calls 100+ LLM APIs behind one interface, and does it well. Tokenality is the governance layer on top: the audit, security, and finance surface a CFO, CISO, and auditor actually sign off on. Budget caps enforced before the call (a real HTTP 402, not an alert), a binding-key second factor, a database a leaked key cannot rewrite. We pass 1,600+ models through LiteLLM — they are complementary, not either/or.
What to say in the room
The question comes from a specific seat. The answer should too.
LiteLLM answers each of these — as developer infrastructure. Here's how the same question lands one layer deeper, where the finance, security, and audit conversation actually happens.
CFO
"Where did the AI spend go, by team, by tool, by project, by month — and can it go over?"
CISO
"If a key leaks, what actually stops the attacker from draining our AI budget?"
PMO / Engineering lead
"How much did the redesign sprint cost us in AI tokens?"
Compliance / Auditor
"Show me the audit trail — and prove nobody edited it after the fact."
The details
Capability-by-capability, where the two layers meet.
LiteLLM's breadth is a strength Tokenality builds on. The rows below show what the governance layer adds above the proxy.
Posture
| Capability | LiteLLM | Tokenality |
|---|---|---|
| Pricing | Open-source and free to self-host (no per-request fees); paid Enterprise tier for support / SSO / extras | Hosted $99/mo (design-partner access) / Team $499/mo / Enterprise quote; open Lite edition planned post-stealth |
| Source model | Open-source Python SDK + proxy server (public repo) | In stealth today; open-source Lite edition planned for the public launch |
| Primary buyer | The engineer / platform team who wants a unified LLM interface | CFO co-signed by CISO — the finance, security, and audit surface, at every tier |
| Who operates it | You. Self-hosted proxy + its database, on your infrastructure | Hosted (5-min onboarding) or self-hosted (30-min deploy); BYOK either way |
Enforcement
| Capability | LiteLLM | Tokenality |
|---|---|---|
| Budget behaviour | Per-key / per-team budgets tracked; a call over budget is rejected by the proxy on the next request | HARD cap enforced before the call leaves your network — returns HTTP 402, does not just alert or track after the fact |
| Key security | Virtual keys, independently revocable; a leaked key is valid until you revoke it | Binding-key second factor — a leaked key without its binding key is a dead key (fails closed) |
| PII pre-flight | Available via configurable guardrails / plugins you wire up | 12 detectors, fail-closed, on by default, runs before the call leaves your network |
| Anomaly detection | Spend / rate signals surfaced in the admin UI and logs | Anomaly detection on the request path — spikes flagged as data on request_logs |
Audit & Finance
| Capability | LiteLLM | Tokenality |
|---|---|---|
| Audit log integrity | Request + spend rows in the proxy database; mutable by the DB role | SQL-role REVOKE on 5 audit tables — the application role cannot UPDATE or DELETE audit rows; deploy-time smoke check |
| Per-task / per-Jira-epic attribution | Model it yourself with one virtual key per project / team | First-class --task / --memo / --url flags at key issuance; auto-tagged on every call; Jira connector shipped |
| GL chargeback | Read spend from /global/spend/report and build the mapping yourself | Chargeback CSV + direct GL push to NetSuite / QuickBooks — finance-ready, not a query you maintain |
Compliance
| Capability | LiteLLM | Tokenality |
|---|---|---|
| Multi-framework evidence pack | Custom queries against the proxy's logs; you assemble the evidence | Productized continuous-evidence pack across SOC 2 + ISO 27001 + ISO 42001 + NIST AI RMF |
| Offline auditor verification | Not productized | vis-verify CLI — re-derives the SHA-256 fingerprint locally, no network call |
Distribution
| Capability | LiteLLM | Tokenality |
|---|---|---|
| Model / provider coverage | 100+ LLM APIs behind one OpenAI-compatible interface — this breadth is LiteLLM's core strength | Builds ON it: Anthropic native; OpenAI, Gemini, Azure OpenAI, AWS Bedrock via governed BYK proxy; 300+ via OpenRouter and 1,600+ via LiteLLM pass-through |
| Interface | Unified OpenAI-style API — drop-in for existing OpenAI SDK code | Same wire-level surface — your existing SDK code works unchanged, wrapped in the envelope discipline |
| HRIS connectors | Not in scope (developer infrastructure) | BambooHR + Workday + Rippling joiners-movers-leavers feed reaches the key layer |
Honest take
When LiteLLM is the right answer.
If you're a developer or platform team who wants a self-hosted, unified proxy to route across many models behind one OpenAI-compatible interface — and you're happy to run it and its database yourself — LiteLLM is excellent, and this isn't a fight. Tokenality can sit directly on top of it; that's exactly how we reach 1,600+ models. Pick LiteLLM for the routing layer.
The moment the people asking the questions are Finance, Security, and Compliance — "can this key go over budget?", "what happens if it leaks?", "can anyone edit the audit trail?", "can the auditor verify this offline?" — you've outgrown a proxy and you need the control plane. That's the layer we build, and increasingly every company past Series A is being asked those exact questions.
See it live, on top of your stack.
30-minute deploy. Bring your own LLM keys. Same wire-level surface as any AI gateway — your existing SDK code works unchanged, LiteLLM pass-through included.