llmcloud.ai
Migrate · LiteLLM

Retire the proxy pager.

LiteLLM is great for hacking. When you're paged at 3am for a proxy OOM, llmcloud.ai gives you the same OpenAI-compatible interface without operating anything.

LiteLLM proxy config.yaml
model_list:
  - model_name: fast
    litellm_params:
      model: groq/llama-3.3-70b
      api_key: os.environ/GROQ_API_KEY
  - model_name: smart
    litellm_params:
      model: anthropic/claude-3-5-sonnet
      api_key: os.environ/ANTHROPIC_API_KEY

router_settings:
  routing_strategy: usage-based-routing
  fallbacks:
    - fast: [smart]
llmcloud.ai — one policy, no yaml
# nothing to deploy. one HTTP call:
POST https://api.llmcloud.ai/v1/chat/completions
Authorization: Bearer $LLMCLOUD_API_KEY

{
  "model": "auto:speed",
  "route": {
    "prefer": ["groq/llama-3.3-70b"],
    "fallback": ["anthropic/claude-4.5-sonnet"]
  },
  "messages": [{ "role": "user", "content": "Hi" }]
}

Feature map

LiteLLMllmcloud.ai
router_settings.fallbacksroute.fallback in the request body
routing_strategy: usage-based-routingauto:quality / auto:cost / auto:speed
cache: type=redisSemantic caching, on by default, with cache-hit routing
success_callback: langfuseBuilt-in analytics + OTel export + log webhooks
Virtual keys via /key/generateScoped virtual keys with budgets & RBAC
Guardrails pluginsPII, prompt-injection and content policies at the router
Deploy: helm, k8s, RDS, Redis, KMSZero deploy · or self-host the same stack
Can I keep LiteLLM as the client SDK?+

Yes. Point litellm.completion at api.llmcloud.ai and it works — LiteLLM speaks the OpenAI protocol we serve.

What about self-hosting?+

We ship an open-source router that runs the same routing, caching and guardrails stack in your VPC. See Self-host.