LiteLLM vs TrueFoundry: Which AI Gateway in 2026?
By API7.ai Team
Last updated: June 2026
LiteLLM and TrueFoundry both put one API in front of many LLM providers, but from opposite starting points: an open-source Python proxy versus a proprietary enterprise platform. This guide compares them on architecture, routing, caching, guardrails, MCP, governance, self-hosting, and pricing so you can choose the right fit.
LiteLLM is an open-source (MIT) Python SDK and proxy you self-host in your own infrastructure, with 100+ providers and OSS budgets, virtual keys, semantic caching, and an MCP gateway. TrueFoundry is a proprietary enterprise platform — SaaS or self-hosted in your VPC — with 1,600+ models and semantic caching, MCP, PII/toxicity guardrails, and SSO/SCIM all shipped. Neither does semantic routing or ensemble, so the choice comes down to an open-source Python proxy versus a feature-complete proprietary platform.
- Python teams wanting an open-source proxy + OSS budgets: LiteLLM
- Teams wanting a proprietary enterprise platform with SSO/SCIM: TrueFoundry
LiteLLM vs TrueFoundry at a glance
LiteLLM is open source and Python-first with OSS budgets; TrueFoundry is a proprietary enterprise platform with 1,600+ models and SSO/SCIM shipped. Both self-host, and neither offers semantic routing or ensemble.
| Dimension | LiteLLM | TrueFoundry |
|---|---|---|
| Best for | Python teams, OSS budgets | Enterprise platform, SSO/SCIM |
| Core & runtime | Python (SDK + proxy) | TypeScript on Hono (proprietary) |
| Open-source license | MIT core; enterprise/ commercial | — Proprietary (not open source) |
| Provider coverage | 100+ providers | 1,600+ models (250+ LLMs) |
| Semantic routing | — Not documented | — Not documented |
| Ensemble / fusion | — Not documented | — Not documented |
| Caching | ✓ Exact + semantic | ✓ Semantic (cosine) |
| MCP gateway | ✓ In open source | ✓ OAuth2 + RBAC |
| Self-host / VPC | Docker/K8s; no managed VPC | SaaS or VPC / air-gapped |
| SSO / SCIM | Enterprise-only | ✓ OIDC/SAML + SCIM |
What is LiteLLM?
LiteLLM is an open-source Python SDK and proxy that exposes 100+ LLM providers through one OpenAI-compatible API, with budgets and virtual keys in open source.
LiteLLM is an open-source Python SDK and proxy server that exposes 100+ LLM providers through one OpenAI-compatible API. Its core is MIT-licensed, with a paid Enterprise tier for identity, audit, and advanced guardrail features.
Language
Python
License
MIT (core) + commercial enterprise/
Form factor
SDK + proxy server
Best for
Python teams, OSS budgets
Pros
- 100+ providers in one OpenAI-compatible API
- Ships as both an SDK and a proxy
- Virtual keys, budgets, and spend tracking in open source
- Semantic caching and an MCP gateway in open source today
Cons
- Python runtime; key & budget features require PostgreSQL
- No semantic routing or ensemble per its own routing docs
- Larger SSO, SCIM, and audit logs are paid Enterprise
What is TrueFoundry?
TrueFoundry is a proprietary enterprise AI gateway, offered as SaaS or self-hosted in your VPC, on-prem, or air-gapped network, with guardrails, an MCP gateway, and SSO/SCIM shipped.
TrueFoundry is a proprietary enterprise AI gateway written in TypeScript on the Hono framework. It runs as a managed SaaS or self-hosted in your own VPC, on-prem, or air-gapped environment, advertising 1,600+ models with semantic caching, an MCP gateway, guardrails, and SSO/SCIM.
Language
TypeScript (Hono)
License
Proprietary (not open source)
Form factor
SaaS or self-hosted VPC
Best for
Enterprise platform teams
Pros
- SaaS or self-host in VPC / on-prem / air-gapped
- Semantic caching and an MCP gateway (OAuth2 + RBAC)
- PII filtering and toxicity guardrails on LLM and MCP calls
- SSO (OIDC/SAML v2) and SCIM provisioning shipped
Cons
- Proprietary, not open source — license/vendor considerations
- No semantic routing or ensemble per its docs
- Vendor-claimed sub-3ms internal latency is not independently verified
LiteLLM vs TrueFoundry: feature comparison
The two converge on routing basics, semantic caching, and an MCP gateway, then diverge on licensing (open-source Python proxy vs proprietary platform) and how much enterprise governance ships out of the box.
| Feature | LiteLLM | TrueFoundry |
|---|---|---|
| Core & runtime | Python; SDK + proxy; key & budget features need PostgreSQL | Proprietary TypeScript service on the Hono framework |
| Provider coverage | 100+ providers in OpenAI format | 1,600+ models (product page); also stated as 250+ LLMs |
| Routing | Simple-shuffle, latency, least-busy, rate-limit-aware, cost-based, custom; fallbacks & retries | Latency-based routing, weighted load balancing, automatic fallback |
| Semantic routing | — Not documented | — Not documented |
| Ensemble / fusion | — Not documented | — Not documented |
| Caching | Exact + semantic (Qdrant, Redis, Valkey) | Semantic caching (cosine-similarity) |
| Guardrails | Presidio PII + hooks in OSS; moderation, prompt-injection & per-key scoping are Enterprise | PII filtering + toxicity detection, attachable to LLM requests and MCP tool calls |
| Observability | Prometheus in OSS, plus Langfuse, OpenTelemetry, Datadog | Vendor claims sub-3ms internal latency; platform monitoring |
| Budgets & governance | Virtual keys, per-key/user/team budgets, spend tracking in OSS (needs PostgreSQL) | Cost- and token-based quotas via metadata filters; rate limits per user/service/endpoint |
| MCP gateway | ✓ In OSS (access control by key/team) | ✓ OAuth2 + RBAC on tool calls |
| Self-host / VPC | Docker/K8s (Helm)/Terraform; no managed-VPC product | Managed SaaS or self-host in VPC / on-prem / air-gapped |
| Enterprise identity | SSO free up to 5 users; larger SSO, SCIM & audit are Enterprise | OIDC or SAML v2 (Okta/Google/Azure AD); SCIM provisioning (SAML v2) |
Pricing comparison
LiteLLM has a free open-source core and paywalls enterprise identity; TrueFoundry is a proprietary platform priced by vendor engagement.
LiteLLM's core is free (MIT) — including virtual keys, budgets, spend tracking, semantic caching, and an MCP gateway (some features need a PostgreSQL database). Its Enterprise license (custom-priced) adds larger-scale SSO/SAML, org and team RBAC, SCIM, audit logs, and enterprise guardrails; SSO is free up to five users. TrueFoundry is a proprietary platform rather than an open-source project: it is consumed as a managed SaaS or self-hosted in your own VPC, and pricing is arranged with the vendor. In short, LiteLLM gates enterprise identity and audit on top of a free core, while TrueFoundry is a commercial platform where the enterprise features come as part of the product.
When to use LiteLLM vs TrueFoundry
Choose LiteLLM for an open-source Python proxy and OSS budgets; choose TrueFoundry for a proprietary enterprise platform with SSO/SCIM and guardrails shipped.
Choose LiteLLM if you…
- Want an open-source (MIT), Python-first SDK and proxy
- Want OSS budgets and virtual keys without a managed service
- Want semantic caching and an MCP gateway in the open-source build
Choose TrueFoundry if you…
- Want a feature-complete enterprise platform out of the box
- Need SSO/SCIM, PII/toxicity guardrails, and MCP RBAC shipped
- Want a managed SaaS or self-hosting in a VPC / air-gapped network
Bottom line
Choose LiteLLM for an open-source Python SDK and proxy with OSS budgets and virtual keys; choose TrueFoundry for a proprietary enterprise platform with SSO/SCIM, guardrails, and MCP shipped.
For an open-source, Python-first proxy you run in your own infrastructure — with OSS budgets, virtual keys, semantic caching, and an MCP gateway — LiteLLM is the stronger pick; for a feature-complete enterprise platform with SSO/SCIM, PII and toxicity guardrails, and MCP RBAC shipped (SaaS or self-hosted in a VPC), TrueFoundry fits better, with the caveat that it is proprietary rather than open source. If you're evaluating open-source AI gateways more broadly, AISIX is another option worth a look: built by the creators of Apache APISIX, it is a Rust gateway whose entire data plane is Apache-2.0, with semantic routing and ensemble in the open-source core and self-hosting in your own VPC. See all AI gateway comparisons and AISIX vs LiteLLM.
Frequently asked questions
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Portkey vs LiteLLM · AISIX vs LiteLLM · All AI gateway comparisons
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