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LiteLLM
LiteLLM is an AI gateway for accessing 100+ LLMs with OpenAI-compatible APIs, fallbacks, and spend tracking.
LiteLLM
OpenAI-compatible gateway for 100+ LLMs with fallbacks
What is LiteLLM?
LiteLLM is an AI gateway and proxy platform that provides OpenAI-compatible access to 100+ language models, with routing, fallbacks, spending visibility, and enterprise controls for teams and applications.
How to use LiteLLM?
- 1Set up LiteLLM as your model gateway or proxy.
- 2Connect supported providers such as OpenAI, Azure, Anthropic, Bedrock, or Gemini.
- 3Use the OpenAI-compatible API format in your app to send requests through LiteLLM.
- 4Configure fallbacks, load balancing, budgets, and rate limits as needed.
- 5Review usage, spend, and logs to monitor model performance and costs.
LiteLLM Key Features
- OpenAI-compatible API access
- 100+ LLM provider integrations
- Fallback routing across models
- Spend tracking and usage visibility
- Virtual keys, budgets, and teams
- Load balancing and RPM/TPM limits
- Logging integrations including Langfuse, Arize Phoenix, LangSmith, and OTEL
- LLM guardrails
- Enterprise features like JWT auth, SSO, and audit logs
LiteLLM Use Cases
- Routing requests across multiple LLM providers
- Adding fallback models to improve reliability
- Tracking LLM spend across teams and projects
- Managing budgets and access for developer groups
- Self-hosting or deploying a cloud gateway for enterprise use
- Standardizing multiple model APIs behind one OpenAI-style interface
LiteLLM Pricing & Free Credits
LiteLLM currently operates on a Free, Custom Pricing model.
LiteLLM Pros & Cons
Pros
- Supports 100+ LLMs and major providers
- OpenAI-compatible format simplifies integration
- Includes fallbacks, routing, and spend tracking
- Works for both self-hosted and cloud deployments
- Offers enterprise features for larger teams
Cons
- Advanced enterprise features may require paid plans
- Best fit for teams already using multiple LLM providers
- Pricing details are not fully listed on the homepage
What is LiteLLM best for?
- Developers building apps with multiple model providers
- Teams needing centralized LLM access and cost control
- Companies that want OpenAI-compatible routing and fallbacks
- Organizations planning self-hosted or enterprise gateway deployments