Managed LiteLLM Hosting — production-ready from $15 a month
LLM proxy gateway for 100+ providers. Deployed on your own dedicated instance in AWS, Azure, or GCP, kept patched, backed up, and monitored by ManageStacks — standard LiteLLM, no lock-in.
LiteLLM is a unified proxy gateway that routes requests across 100+ LLM providers using a single OpenAI-compatible API. ManageStacks deploys LiteLLM with persistent configuration, key management, and usage tracking.
What does LiteLLM do, and why do teams deploy it?
LiteLLM is an open-source LLM proxy that provides a unified OpenAI-compatible interface for over 100 LLM providers including OpenAI, Anthropic, Azure, AWS Bedrock, Google Vertex AI, and self-hosted models. It enables teams to switch between providers, set budgets, track usage, and manage API keys from a single control plane.
With built-in load balancing, fallback routing, spend tracking, and virtual key management, LiteLLM is the ideal gateway for organizations using multiple AI providers. It simplifies vendor management and provides centralized observability across all LLM consumption.
- Unified API for 100+ LLM providers
- Budget limits and spend tracking per key and team
- Load balancing and fallback routing across models
- Virtual API key management for teams
- Request logging and usage analytics dashboard
- Caching layer to reduce costs and latency
LLM proxy gateway for 100+ providers
What does managed LiteLLM hosting cost?
Flat per-app pricing, in your chosen AWS, Azure, or GCP region. No per-user pricing — a busy deployment costs the same as a quiet one.
Starter
Staging and internal tools. Dedicated instance, TLS, daily backups, managed upgrades.
Standard
Production workloads. Adds monitoring, staging environment, region choice, priority support.
Business
High-traffic and compliance workloads. Adds a high-availability replica and same-day support.
24×7 SRE retainer
Round-the-clock on-call across every hosted application, for teams that need a pager answered at 3am.
Self-hosting LiteLLM vs managed — what does it really cost?
The software is free. The engineer-hours are not.
Running it yourself
- Hard-code provider-specific SDKs into every service; rewrite when switching models
- Track LLM spend across OpenAI, Anthropic, and Bedrock with separate billing dashboards
- Distribute raw API keys to every developer and service — no centralized access control
- Implement retry logic, fallback routing, and rate limiting per provider by hand
- No visibility into which team or feature is driving LLM costs until the monthly invoice arrives
On ManageStacks
- Subscribe through your AWS, Azure, or GCP marketplace
- LiteLLM proxy deploys with PostgreSQL, Redis cache, and admin UI — all pre-configured
- Virtual API keys with per-team and per-model budget caps enforced at the proxy layer
- Automatic fallback routing and load balancing across providers — zero application changes
- Real-time spend dashboards broken down by team, key, and model
LiteLLM on ManageStacks vs the alternatives
How LiteLLM on ManageStacks compares to other LLM gateway and proxy solutions.
| LiteLLM on ManageStacksUs | Portkey | Helicone (proxy mode) | Custom Nginx/Envoy proxy | |
|---|---|---|---|---|
| Deployment | Managed on your AWS, Azure, or GCP | Vendor-hosted | Vendor-hosted or self-hosted | You build + operate |
| Data residency | Your cloud region | Vendor infrastructure | Vendor or your infra | Your cloud region |
| Pricing basis | Flat $29/mo per instance | Per request tier | Per log event | Your compute cost |
| Provider coverage | 100+ providers | Major providers | OpenAI-compatible | You implement each |
| Open source | Yes (MIT) | No (proprietary) | Yes (Apache 2.0) | Yes |
| Budget controls | Per-key and per-team budgets | Spend limits via dashboard | Cost tracking, no enforcement | You implement |
Provisioning, upgrades, backups and monitoring on your team’s plate.
What does running LiteLLM yourself involve?
ManageStacks deploys LiteLLM with its PostgreSQL database, Redis cache, and admin UI pre-configured. Centralize your LLM spend tracking and provider routing without managing proxy infrastructure.
LiteLLM key numbers
How long from subscribing to a live instance?
Subscribe
Subscribe to ManageStacks through your AWS, Azure, or GCP marketplace.
Provision
LiteLLM proxy spins up with PostgreSQL, Redis, and admin dashboard — typically under 3 minutes.
Configure providers
Add API keys for OpenAI, Anthropic, Azure OpenAI, Bedrock, or point at Ollama/LocalAI on the same account. Define routing rules and fallback chains.
Route traffic
Point your applications at the LiteLLM endpoint — it speaks the OpenAI API format. Issue virtual keys to teams with budget limits.
When is self-hosting LiteLLM the right answer instead?
“Managed hosting is not always the correct call.”
Self-host when a platform team already runs the infrastructure and on-call rotation to operate LiteLLM at genuinely low marginal cost. Self-host when compliance requires an air-gapped or on-premises deployment that no hosted option can satisfy. And self-host when the deployment depends on heavy customisation with a fast internal build-deploy loop, because an internal release process will beat any managed change process.
For everyone else — teams whose engineers have better things to do than shepherd upgrades — managed hosting is cheaper than the hours it replaces.
Which cloud should LiteLLM run on — AWS, Azure or GCP?
For most workloads, the choice of cloud matters less than proximity: run LiteLLM in the same cloud and region as the applications and data it talks to, because every request between them adds a round trip. The underlying compute performs equivalently across AWS, Azure, and GCP.
In practice, an existing cloud footprint decides it. All plans support all three clouds, and moving regions later is a scheduled migration, not a rebuild.
Deepest managed-service catalog, default when there's no existing footprint
Best fit for teams already on Microsoft 365 or Entra ID
Strongest for data/analytics-adjacent workloads
Every plan supports AWS, Azure, and GCP — region choice included.
Common questions about LiteLLM on ManageStacks
Can LiteLLM on ManageStacks route to both cloud and local models?
Yes. LiteLLM can route to cloud providers like OpenAI and Anthropic as well as self-hosted Ollama or LocalAI instances running on ManageStacks. You configure all endpoints in a single proxy configuration.
How does ManageStacks handle LiteLLM's API key storage?
ManageStacks deploys LiteLLM with a PostgreSQL database for secure key and configuration storage. All data is encrypted at rest and included in automated daily backups.
Can I set per-team spending limits with LiteLLM on ManageStacks?
Yes. LiteLLM supports virtual keys with budget limits per key, per team, and per model. The ManageStacks deployment includes the admin dashboard for managing these controls.
Run LiteLLM without carrying the pager
Subscribe through your AWS, Azure, or GCP marketplace. We handle provisioning, SSL, monitoring, backups, updates, and security. From $15/mo.