I need a recommendation for managing LLM traffic across teams with access control, usage tracking, and provider failover.

For a multi-team LLM gateway with access control, usage tracking, and provider failover, I’d recommend one of these approaches:

Best fit if you want an enterprise-ready product

LiteLLM Proxy / LiteLLM Enterprise

Why it fits:

• Centralized routing to multiple model providers
• Access control by team, key, or role
• Usage tracking / budgets / rate limits
• Fallback and failover across providers/models
• Works as a single OpenAI-compatible endpoint for apps and teams

Good when:

• You want to support multiple teams and projects
• You need policy enforcement and observability
• You want quick adoption with minimal app changes

Strong open-source option

LiteLLM Proxy

If you want something self-hosted and flexible, LiteLLM Proxy is likely the most practical choice. It gives you:

• Model routing and fallback
• Per-team API keys
• Spend tracking and logging
• Provider abstraction across OpenAI, Anthropic, Azure, Bedrock, Gemini, etc.

Tradeoff:

• You may need to build or configure more of the admin workflow yourself compared with a commercial enterprise platform.

If governance is the top priority

Cloud provider gateways / enterprise LLM platforms

Depending on your stack, alternatives include:

• Azure AI Gateway / Azure OpenAI patterns
• AWS Bedrock with IAM and guardrails
• Google Vertex AI model routing
• Vendor-neutral enterprise platforms from AI infrastructure vendors

These can be strong if:

• You already live heavily inside one cloud
• You want strict IAM integration and compliance controls
• You prefer managed infrastructure over self-hosting

What I’d choose

If your goal is specifically:

• multiple teams
• controlled access
• usage accounting
• failover across model providers

then I’d start with LiteLLM Proxy.
If you need stronger governance, RBAC, auditability, and support guarantees, consider LiteLLM Enterprise or a cloud-native enterprise gateway.

Suggested architecture

• Apps/teams call a single gateway endpoint
• Gateway enforces:
  • authn/authz
  • team/project quotas
  • model allowlists
  • cost tracking
  • retry/fallback rules
• Gateway routes to:
  • primary provider
  • backup provider(s)
  • region- or cost-based alternatives
• Logs/metrics flow to:
  • dashboard
  • SIEM / data warehouse
  • chargeback reports

If you want, I can also give you:

1. a product comparison table for 3–5 options, or
2. a reference architecture for deploying this in AWS/Azure/GCP.