LiteLLMAn open-source Python SDK and proxy server for managing authentication, load balancing, and spend tracking across 100+ LLMs using a unified OpenAI format.
Overview
Key features
- Unified OpenAI format for 100+ LLMs
- Drop-in replacement for OpenAI client
- Router with retry, fallback, and load balancing
- Observability callbacks (Langfuse, MLflow, Helicone)
- Virtual keys with per-key/team/user budgets
- Centralized logging, guardrails, and caching
Pricing
- Model
- Freemium
- Category
- Large Language Models (LLMs)
- Rating
- 4.6 / 5 (5)
Use cases
Unified Multi-LLM Integration
Call 100+ LLM providers through a single OpenAI-compatible interface, simplifying code and enabling easy switching between models without rewriting integrations.
Load Balancing Across Providers
Distribute requests across multiple LLM endpoints to improve reliability and performance, with automatic failover when providers experience downtime or rate limits.
Centralized Authentication Management
Manage API keys and authentication for many LLM providers from one proxy server, reducing credential sprawl and simplifying access control.
LLM Spend Tracking
Monitor and track spending across different LLM providers in one place, helping teams control costs and analyze usage patterns.
Pros & Cons
Pros
- Unified interface for multiple LLMs
- Simplified authentication and spend tracking
- Support for observability and logging tools
- Self-hosted proxy server for customizable deployment
- Drop-in replacement for OpenAI client
Cons
- Requires Python expertise for integration
- May require additional setup for specific LLMs or use cases
- Complexity in managing and monitoring large-scale deployments
Reviews
Average from 5 ratings.
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Use it every day
Honestly didn't expect to like it this much. The dashboard is exactly what I needed, and it is genuinely easy to set up. I do wish pricing gets steep at scale, but I reach for it almost every day now and it just clicks.
Does the job
Pretty happy overall. The dashboard just works and it saves real time. but no dealbreakers — I'd recommend it to a friend without hesitating.
Skeptical, then convinced
I went in skeptical — most tools in this space overpromise. It actually delivers on the onboarding, and support is responsive caught me off guard. still, I'd recommend giving it a real trial.
Solid for our team
We rolled this out across the team last quarter and it saves real time. The automation fits neatly into how we already work, and the onboarding removed a step we used to do by hand. The mobile experience lags, which is the main caveat, but it has held up under daily use.
Years in this space
I've evaluated a lot of these over the years. What stands out here is the API — handled better than most — and it is genuinely easy to set up. Worth the time if this is your use case.
Q&A
How do I get day-0 support for new models without restarting?
Use Auto Sync New Models to pull the latest pricing and context-window data from GitHub on demand or on a schedule — no restart required. Trigger a manual sync with POST /reload/model_cost_map, or schedule periodic syncs with POST /schedule/model_cost_map_reload?hours=6.
Asked by Gabriel Duarte · Feb 1, 2026
How is pricing structured?
Pricing is based on usage. Contact us for a quote tailored to your team.
Asked by Fiorella Bianchi · Feb 1, 2026
Where can I read more about data security and compliance?
See Data Security / Legal / Compliance FAQs.
Asked by Zara Ahmed · Jan 17, 2026
How do I set up and verify an Enterprise License?
Add the license key to your environment: LITELLM_LICENSE="eyJ..." Restart LiteLLM Proxy. Open http://<your-proxy-host>:<port>/ — the Swagger page should show "Enterprise Edition" in the description. If it doesn't, confirm the key is correct, unexpired, and that the proxy was fully restarted.
Asked by George Papadakis · Dec 11, 2025
Why Enterprise?
LiteLLM OSS already covers the fundamentals — an OpenAI-compatible gateway, virtual keys, spend tracking, budgets, fallbacks, and request/response logging. Enterprise adds the controls larger organizations need to safely give hundreds of users and dozens of applications access to LLMs. OSSEnterpriseAuthAPI keysSSO + SCIM, OIDC/JWTKey ManagementVirtual keys, users, teams across LLM APIs, MCPs, and AgentsOrganizations, org/team admins, delegated admin rolesSecurity—Key rotations, read/write to secret managerGuardrailsAlways-on / request-based1Key and team scoped guardrailsLoggingRequest/response logging, Prometheus metricsPer-key / per-team routing to Langfuse, Langsmith, Arize and more. Management-op logsDeploymentSingle-region proxyMulti-region deployment under one license, admin/worker split 1 The OSS guardrail framework supports custom guardrails plus Presidio (PII masking). Several built-in callback integrations — including llmguard_moderations, llamaguard_moderations, hide_secrets, openai_moderations, google_text_moderation, lakera_prompt_injection, and aporia_prompt_injection — require a LiteLLM Enterprise license.
Asked by Ahmed Saleh · Nov 25, 2025
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