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LiteLLM and LiteLLM Enterprise
LiteLLM is an open-source AI Gateway that simplifies model access, fallbacks and spend tracking across 100+ LLMs, all using the familiar OpenAI API format. It gives your teams one consistent endpoint while routing requests behind the scenes to providers such as OpenAI, Anthropic, Bedrock, Vertex AI, local models and many others.
LiteLLM Enterprise builds on the core gateway and adds the controls enterprises need: SSO and SCIM, OIDC/JWT-based authentication, audit logs, team and organization admins, guardrails per key or team, secret management, key rotation and structured 24/7 support with SLAs.
It is available as a secure, self-managed deployment and is ideal for organizations that want to give LLM access to many developers and projects, including self-hosted, private cloud and air-gapped environments.
LiteLLM provides the following:
- OpenAI-compatible AI Gateway for 100+ LLMs and AI endpoints, giving you one unified API for cloud and on-prem models.
- Unified endpoint with virtual keys, teams, budgets, rate limits and load balancing across multiple providers.
- Spend tracking and budget enforcement so you can monitor usage, control costs and set limits per key, team or project.
- Guardrails, model allowlists, prompt management and centralized policy controls to keep AI usage compliant and consistent.
- Request and response logging, including S3/object storage logs and integrations with observability tools such as OTEL, Langfuse, Arize Phoenix and Langsmith.
- JWT/OIDC/SAML/SSO-based authentication and SCIM provisioning (Enterprise), enabling identity-aware access control for AI usage.
- Role-based access control with team/org admins, per-key guardrails and detailed audit logs (Enterprise).
- Self-hosted, air-gapped deployment options in your own Kubernetes clusters, VMs or cloud accounts.
- Tight integration with Git-based workflows (git, GitHub, GitLab, Bitbucket, Azure DevOps) for AI-assisted code review, commits, merge request analysis, CI automations, release notes and documentation.
- A practical way for DevOps, Platform and Architecture teams to standardize AI usage across many applications, teams and environments from a single gateway.
Watch LiteLLM Demo (Overview)
LiteLLM's Benefits
- Open source and vendor‑agnostic: you get full control over the gateway and avoid locking into a single LLM provider or cloud vendor.
- One gateway for all models: developers call a single OpenAI-format API while LiteLLM routes to 100+ providers and endpoints behind the scenes.
- Centralized spend and governance : budgets, cost tracking, rate limiting, guardrails and audit logs are managed in one place instead of being scattered across scripts and services.
- Enterprise-ready security controls SSO, SCIM, JWT, secrets management, key rotation and structured support with SLAs match enterprise security and compliance expectations.
- Designed for Platform and DevOps teams: LiteLLM gives you a consistent way to onboard teams, delegate admin responsibilities, monitor production traffic and enforce policies at scale.
- Ideal companion for Git-based CI/CD it sits between GitLab/GitHub and your models to power AI-assisted code review, documentation, security checks and pipeline automation without changing developer workflows.
- Flexible deployment options you can run LiteLLM on-premises, in your private cloud or in air‑gapped environments while still integrating with modern logging and observability stacks.
How We Can Help You
ALM-Toolbox officially represents LiteLLM and provides Enterprise subscription licensing, consulting and support with a local team, plus managed service options. LiteLLM joins our portfolio of AI, DevOps and DevSecOps solutions, backed by many years of experience with GitLab, GitHub and modern CI/CD platforms.
We can help you with:
- Evaluating LiteLLM OSS vs. LiteLLM Enterprise and designing an AI gateway architecture that fits your GitLab, GitHub or hybrid environment.
- Planning and implementing LiteLLM in on-premise, air-gapped or private cloud (AWS, GCP, Azure) environments, including high availability and production hardening.
- Integrating LiteLLM with your development processes and DevOps / CI/CD workflows, including git, GitLab, GitHub, Bitbucket and Azure DevOps.
- Connecting LiteLLM to complementary DevSecOps tools from our portfolio (such as SonarQube, Snyk, Socket, JFrog, Vault and others) to build secure, AI-enabled pipelines.
- Providing local, hands-on consulting and support from our DevOps & AI team, including guidance on prompt management, guardrails, cost optimization and operational best practices.
- Offering subscription licenses, support with SLAs and managed LiteLLM gateway services (“LiteLLM as a Service”) on your preferred cloud.
- Assisting with migrations from ad-hoc provider-specific APIs or SDKs to a standardized LiteLLM gateway, with minimal disruption to existing applications and CI/CD pipelines.
News & Related Articles
Features and Pricing
| Feature | OSS |
Enterprise
Get a Quote |
|---|---|---|
| Unified OpenAI-compatible API endpoint (/chat/completions, /completions, /embeddings, etc.) |  |
|
| LLM translation (input/output normalization across providers) | |
|
| Pass-through endpoints (no translation, direct provider calls) | |
|
| Multi-provider support (OpenAI, Anthropic, Bedrock, Vertex, etc.) | |
|
| Streaming support for model responses | |
|
| Virtual keys authentication | |
|
|
Unified OpenAI-compatible API endpoint
(`/chat/completions`, `/completions`, `/embeddings`, etc.)
|
|
|
| Custom auth integration | - | |
| OIDC / JWT authentication | - | |
| Virtual key rotation | - | |
| Write key to secret manager integration | - | |
| Basic logging (LLM observability tools: Langfuse, LangSmith, etc.) | |
|
| Datadog, S3, GCS, Azure Data Lake logging | - | |
| Key/team-based logging | - | |
| Alerting via Slack/Discord/Teams/Email/Webhook | |
|
| PagerDuty alerting | - | |
| Prometheus metrics | - | |
| Create/manage users | |
|
| Create/manage teams | |
|
| Create/manage organizations & assign org admins | - | |
| Assign team admins | - | |
| Restrict models by key/user/team | |
|
| Model access groups | - | |
| Team-only models | - | |
| Spend tracking by model/key/user/team | |
|
| Basic budgets and rate limits | |
|
| Advanced budgets and rate limits: tiers & temporary increases | - | |
| Pricing and available licenses | Free |
Subscription
Get a Quote |
Need help deciding? Email us or use the chatter below
LiteLLM Training
We provide training for private groups or as a public class. We can do this remotely or on-site.
We provide the following classes:
- LiteLLM for administrators (1 day)
Contact us for quotes or for any questions: training@almtoolbox.com
Testimonials and Customers Stories
LiteLLM gives NVIDIA engineers a single, consistent way to access more than 100 AI model endpoints across cloud providers, open source deployments, and internal NVIDIA services"
Ajay Dogra, Product, Nvidia
LiteLLM has let my team provide the latest LLM models to our users usually within a day of them being released. Without LiteLLM this would be hours of work each time a new model is announced. It means we don't have to transform inputs and outputs across providers and has saved us months of work."
David Leen, Staff Software Engineer, Netflix
Our experience with LiteLLM and Langfuse at Lemonade has been outstanding. LiteLLM streamlines the complexities of managing multiple LLM models"
Mark Koltnuk, Principal Architect (GenAI Platform), Lemonade
