Comparison

SmartFlow vs. LiteLLM: Enterprise AI Gateway Comparison

SmartFlow is an on-premises AI governance control plane. LiteLLM is an open-source Python routing library. Here is how they compare for enterprise deployments.

Summary:SmartFlow vs. LiteLLM whitepaper

Feature Comparison

CapabilitySmartFlowLiteLLM
Semantic Cache (BERT)4-phase: exact + semantic + compressed + predictive. 55-75% hit rates.Exact match only (Redis/S3). 5-15% hit rates.
Enterprise SSOEntra ID, LDAP, SAML, OIDC, proxy headers. Per-user audit trails.Not supported natively. Team-key model only.
Policy EngineVisual editor, PII detection, topic restriction, jailbreak detection, output moderation. No code required.Basic pre/post hooks. Custom Python functions required.
ComplianceBuilt-in dashboard with test sandbox. HIPAA, SOX, FINRA, EU AI Act templates.Not available.
MCP / Agent GovernanceFull MCP JSON-RPC gateway with tool caching. A2A agent orchestration.Not supported.
Runtime PerformanceRust binary. Sub-5ms proxy overhead.Python event loop. 20-80ms overhead.
DeploymentDocker / Kubernetes Helm. On-premises. Air-gapped capable.Docker / K8s. Community Helm chart.
Provider Support37+ providers including local models (Ollama, vLLM)100+ providers (largest selection)
Open SourceEnterprise product (source available on request)MIT license, fully open
Supply Chain SecurityOn-premises binary. No PyPI dependency in production.PyPI package. March 2026 supply chain attack: versions 1.82.7/1.82.8 shipped credential-stealing malware.

The March 2026 Supply Chain Attack

On March 24, 2026, LiteLLM versions 1.82.7 and 1.82.8 were published to PyPI containing credential-stealing malware. The attack compromised the TeamPCP account through a chain of GitHub Action tag hijacks (Trivy, then Checkmarx KICS). The entire LiteLLM package was quarantined, affecting an estimated 95 million monthly downloads and 36% of cloud environments where it was deployed.

This is not a theoretical risk. It is a documented supply chain compromise that affected production environments at scale. SmartFlow eliminates this attack vector entirely: it deploys as a compiled Rust binary inside the enterprise perimeter with no runtime PyPI dependency.

Where LiteLLM Excels

LiteLLM has the broadest provider support in the market (100+), the largest open-source community, and the fastest path from zero to a working LLM routing layer. For engineering teams building internal tooling without regulatory requirements, LiteLLM is a strong choice. Many SmartFlow customers started with LiteLLM and migrated when governance, compliance, and cost optimization became requirements.

When to Choose SmartFlow

  • Regulatory obligations: HIPAA, SOX, FINRA, EU AI Act, or any framework requiring per-user audit trails
  • Enterprise identity: Active Directory, Entra ID, or SAML SSO required for AI access
  • Cost governance: Semantic caching delivers 55-75% hit rates vs. 5-15% with exact match
  • Supply chain security: On-premises deployment with no external package dependencies
  • Agent governance: MCP proxy and A2A orchestration with identity-aware controls

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