ComparisonPublished June 25, 2026· Last verified July 15, 2026

Kosmoy vs LiteLLM: Proxy vs AI Management Platform (2026)

LiteLLM is the de-facto standard open-source LLM proxy: ~53.6k GitHub stars, 100+ providers, free to run. Kosmoy is an AI management platform for enterprises that must prove control over AI. The honest comparison is proxy vs platform — and both framings are compliments.

LiteLLM and Kosmoy get shortlisted together because both are self-hosted, OpenAI-compatible policy points between applications and models. They exist for different reasons. LiteLLM, built by Y Combinator-backed BerriAI, grew from a Python SDK into the most widely adopted open-source LLM gateway — ~53.6k GitHub stars, 100+ providers, weekly releases — with an enterprise license that adds SSO, RBAC and audit logs on the same deployment, and a 2026 roadmap spanning MCP OAuth, an A2A gateway and a staged Rust rewrite. Kosmoy started from the governance problem: an inventory of every AI system a company runs, a gateway to enforce policy on each call, compliance evidence for the auditors, and a sandbox for the agents that act.

This page compares the two respectfully, axis by axis, with every LiteLLM claim cited to LiteLLM's own repositories and documentation. The short version: LiteLLM wins on cost, simplicity and community; Kosmoy wins on nearly everything an auditor asks about.


Who each product is for

LiteLLM

LiteLLM speaks to platform and infrastructure engineers. Adoption is a `pip install` or `docker run` decision, not a procurement cycle: the MIT-licensed core (~53.6k stars) gives any team a self-hosted gateway with load balancing, fallbacks, virtual keys and per-team budgets. The enterprise tier is a license key applied to the same deployment — 'no data leaves your environment' — adding SSO/SAML, SCIM, JWT auth, RBAC, audit logs and one-hour Sev0 support SLAs (enterprise docs). BerriAI pitches the enterprise fit at 100+ users or 10+ production AI use cases.

The project's velocity is its own argument: weekly stable releases (v1.80.15 to v1.92.0 between January and July 2026), a public guardrails registry, an ecosystem security working group, and a Rust migration announced in June 2026 targeting vendor-reported sub-1ms gateway overhead by December.

Kosmoy

Kosmoy speaks to the people accountable for AI as a whole: CTOs, CISOs and AI governance leads in regulated industries. Its unit of work is not the API call but the AI system — each one registered with an owner and a risk tier in the AI inventory, observed through the gateway, and, where it acts autonomously, contained in an Action Capsule sandbox.

It is software you run, not a project you assemble: single-tenant, in your own Kubernetes, air-gap capable. Italy's central bank and banking regulator and Europe's largest defence and aerospace group run it in production.


The capability radar

Each spoke is one capability, scored 0–10; the further a point sits from the centre, the stronger the product. LiteLLM's shape is a sharp spike: Gateway & Policy Control (9 vs 8) and Observability & FinOps (8 vs 7) both go to LiteLLM, and its self-hosted, air-gap-capable footprint earns a 9 on sovereignty — one point behind Kosmoy only because Kosmoy has no vendor-licensed tier at all. Kosmoy's shape is the wider web: inventory, security, guardrails, containment and compliance are where the gap runs the other way.

  • LiteLLM
  • Kosmoy
LiteLLM vs Kosmoy — capability radarCapability radar comparing LiteLLM and Kosmoy across ten axes, scored 0 to 10. AI Inventory & Discovery: LiteLLM 4, Kosmoy 9; Security & Shadow AI: LiteLLM 3, Kosmoy 8; Observability & FinOps: LiteLLM 8, Kosmoy 7; Gateway & Policy Control: LiteLLM 9, Kosmoy 8; Guardrails & Runtime Safety: LiteLLM 6, Kosmoy 8; Agent Containment: LiteLLM 3, Kosmoy 9; Compliance & Audit: LiteLLM 4, Kosmoy 9; Testing, Evals & Red-teaming: LiteLLM 1, Kosmoy 4; Agent Building: LiteLLM 4, Kosmoy 6; Deployment Sovereignty: LiteLLM 9, Kosmoy 10.246810AI Inventory &DiscoverySecurity &Shadow AIObservability &FinOpsGateway &Policy ControlGuardrails &Runtime SafetyAgentContainmentCompliance &AuditTesting, Evals &Red-teamingAgent BuildingDeploymentSovereignty
Capability scores, axis by axis
Capability (0–10)LiteLLMKosmoyNotes on LiteLLM
AI Inventory & Discovery49Model catalog, MCP server registry and Agent Hub — for assets routed through the proxy only.
Security & Shadow AI38SSO/SCIM, JWT, IP ACLs, key rotation and secret-manager integrations on the gateway path; no discovery beyond it.
Observability & FinOps87Spend per org/team/project/key/tag, budget alerts, Prometheus/OTel and tool-call tracing.
Gateway & Policy Control98The core product: 100+ providers, routing, virtual keys, rate limits, plus MCP and A2A gateways.
Guardrails & Runtime Safety68Built-in, realtime and policy-template guardrails per key/team; orchestrates third-party engines rather than shipping detection models.
Agent Containment39Scoped virtual keys and revocation; the per-session-VM coding-agent runtime (May 2026) is early — no sandbox product or kill switch.
Compliance & Audit49Enterprise audit logs with retention and durable log export; no AI-regulation evidence tooling.
Testing, Evals & Red-teaming14No evaluation or red-teaming product documented.
Agent Building46Agent Hub, A2A gateway and a TypeScript agent SDK — a fast-moving but early, developer-centric stack.
Deployment Sovereignty910MIT core, self-hosted anywhere, explicitly air-gap capable; the enterprise tier is a license key, not a hosted service.

Bold marks the highest score on each row. 10 is reserved for categorical architectural facts; specialists are expected to outscore platforms on their own spoke.


Where LiteLLM wins

Cost and adoption friction. The core is MIT-licensed and free; the enterprise tier is a license key with a free 7-day trial, SSO free up to five users, and AWS/Azure Marketplace procurement (enterprise docs). Kosmoy has no self-service tier; procurement runs through an enterprise sales process.

Community and velocity. ~53.6k GitHub stars, ~9.8k forks, weekly stable releases, a public registry of custom guardrails and an ecosystem security working group — no proprietary vendor matches that surface area of contributors and integrations. The Rust migration announced June 25, 2026 targets vendor-reported sub-1ms gateway overhead, staged through December 2026 (announcement).

FinOps granularity. Budgets and spend attribution per organization, team, project, key and tag, soft-budget alerts, programmatic spend reports, Prometheus and OpenTelemetry metrics, and tool-call tracing since Logs v2 in January 2026 (release notes). Kosmoy tracks cost, usage and agent traces per model, app and user — solid FinOps, a less granular attribution hierarchy.

MCP gateway maturity. An MCP server registry with per-server access groups, OAuth 2.0 including On-Behalf-Of (production v2 shipped July 2026), and controls over which MCP servers are exposed to the public internet — the most mature MCP story among open-source gateways (MCP docs).

Where Kosmoy wins

Inventory beyond the proxy. LiteLLM's model catalog, MCP registry and Agent Hub cover what is routed through LiteLLM. Kosmoy's four registries also cover what is not: connectors pull agents from Azure AI Foundry, Bedrock, Vertex, Salesforce and ServiceNow into one master list, each entry with an owner and a risk tier. If the question is “what AI do we run?”, only one of these products tries to answer it.

Compliance evidence. LiteLLM's enterprise audit logs cover gateway admin actions, with durable log export for compliance storage — useful inputs, not a compliance product. It does not document EU AI Act, ISO/IEC 42001 or NIST AI RMF mapping, risk classification or evidence packs as of July 15, 2026. Kosmoy produces framework-ready evidence bundles from registry state plus gateway logs: one source, every audit.

Agent containment. LiteLLM offers scoped virtual keys, per-agent rate limits and key revocation — coarse, policy-level controls — and its per-session-VM coding-agent runtime (May 2026) is an early project, not a containment product. Kosmoy's Action Capsule is architectural: each agent, MCP server or private model runs in a kernel-enforced sandbox whose only egress is its paired gateway, with per-task credentials and a kill switch.

A platform, not a kit. LiteLLM's guardrails framework is genuinely capable — built-in checks, realtime guardrails, policy templates — but it is an enforcement point your team assembles and operates, along with the Postgres, Redis, upgrades and on-call that the enterprise license explicitly leaves with the customer. Kosmoy ships inventory, gateway, guardrails, evidence and containment as one supported product. Which model is better is a staffing question as much as a technical one — see build vs buy.


Deployment and pricing model

LiteLLMKosmoy
Hosting modelSelf-hosted (Docker, Kubernetes, Helm, Terraform); air-gap supportedSelf-hosted only — single-tenant, your own Kubernetes
Where prompts flowNever leave your environmentNever leave your infrastructure
Control planeSelf-hosted proxy + admin UI; enterprise features enabled by license keyRuns in your cluster
Open sourceMIT core; enterprise/ directory commercially licensedProprietary
Pricing modelFree OSS core; enterprise license by quoteEnterprise subscription; no self-service tier
OwnershipBerriAI — private, Y Combinator-backed (W23)Independent, founder-owned

Last verified July 15, 2026 against each vendor's public documentation.

Running them together

Both products expose an OpenAI-compatible endpoint, so applications move between them by changing a base URL — migration in either direction is configuration, not a rewrite. In practice many Kosmoy prospects arrive already running LiteLLM, and the sensible pattern is rarely rip-and-replace: LiteLLM stays as the developer-facing proxy for experimentation, while Kosmoy becomes the governed path to production — the inventory, risk tiers, compliance evidence and containment around whatever routes the traffic. LiteLLM's Rust migration, if it lands on schedule in December 2026, only strengthens the case for keeping it as a fast data path inside a governed perimeter.


Questions buyers ask

Is LiteLLM good enough for enterprise use?

For the gateway problem, often yes. The enterprise tier adds SSO/SAML, SCIM, RBAC, audit logs, IP ACLs and one-hour Sev0 support SLAs on a self-hosted, air-gap-capable footprint, with AWS and Azure Marketplace procurement — real enterprise plumbing, and BerriAI pitches it at organizations with 100+ users or 10+ production AI use cases. What it does not provide is the governance layer: AI inventory beyond the proxy, regulatory evidence, or agent containment.

Is Kosmoy better than LiteLLM?

Not on every axis, no. LiteLLM is the better pure proxy: free, community-driven, more granular FinOps attribution, and the most mature MCP gateway among open-source options. Kosmoy is the better governance platform: organization-wide AI inventory, EU AI Act and ISO 42001 evidence, and kernel-enforced agent containment, none of which LiteLLM documents. Teams whose problem is LLM traffic should start with LiteLLM; teams whose problem is proving control over AI should shortlist Kosmoy.

Can LiteLLM help with EU AI Act compliance?

It contributes inputs: enterprise audit logs, GDPR-friendly per-team logging opt-outs, and durable log export for compliance storage. But it does not document EU AI Act, ISO/IEC 42001 or NIST AI RMF mapping, risk classification or evidence generation as of July 15, 2026. Kosmoy generates framework-mapped evidence bundles from its registry and gateway logs — that is a core product difference, not a feature gap.

What does LiteLLM enterprise cost?

BerriAI does not publish enterprise prices — its docs say pricing depends on deployment size and direct buyers to sales, with a free 7-day trial license and SSO free up to five users. Third-party blogs circulate dollar figures, but none are confirmed on any vendor property, so treat them as rumors. The open-source core remains free under MIT. Budget separately for operations: the enterprise tier is a software license, and the infrastructure, database and on-call stay with your team.

Can I run LiteLLM and Kosmoy together?

Yes, and it is a common pattern. Both are OpenAI-compatible, so they can chain or serve different populations: LiteLLM as the developer proxy for fast experimentation, Kosmoy as the governed production path holding the inventory, compliance evidence and Action Capsule containment. Several Kosmoy customers arrived running LiteLLM and kept it during — and after — migration.


See the platform behind the scores

Kosmoy puts an inventory, a policy gateway and a containment sandbox around every AI your teams run — in your own Kubernetes.

Or email sales@kosmoy.com.