LiteLLM

LiteLLM: LLM access, spend tracking, and fallbacks across 100+ providers

LiteLLM is a platform that simplifies model access, spend tracking, and fallback handling across 100+ LLM providers (OpenAI-compatible format). It is available in Open Source and Enterprise offerings and is designed to help platform teams give developers day-0 access to the latest models while centralizing cost tracking and governance.

Key Capabilities

• Unified LLM access to 100+ providers (OpenAI-compatible)
• Accurate spend tracking and budgeting across providers (OpenAI, Azure, Bedrock, GCP, etc.)
• Tag-based spend attribution to key/users/teams/orgs
• Open-ended fallbacks across providers to ensure reliability
• Prompt formatting support for HuggingFace models
• Logging and observability integrations (s3/gcs logging, Langfuse, OTEL, Prometheus)
• Configuration for rate limits, budgets, and guardrails
• Enterprise features: JWT Auth, SSO, audit logs, SLAs
• Availability as Open Source or Enterprise deployment (Cloud or Self-Hosted)
• Real-world validation from customers like Netflix and Lemonade

How LiteLLM Works

1. Define access for developers and teams to a large catalog of LLM providers.
2. Automatically track spend per key/user/team/org across all providers.
3. Apply tag-based spend accounting and log usage to your storage (S3, GCS, etc.).
4. Route requests through OpenAI-compatible interfaces with robust fallback policies when a provider is down or rate-limited.
5. Provide developers with transparent usage, budgets, and governance controls.

Use Cases

• Day-0 LLM access for large developer teams without manual provider integration
• Centralized cost governance across multi-provider LLM deployments
• Rapid integration of new models without refactoring inputs/outputs
• Enterprise-grade security and compliance with single sign-on and audit logs

Core Features

• OpenAI-compatible LLM access across 100+ providers
• Automatic spend tracking and attribution by key/user/team/org
• Tag-based budgeting and logging to s3/gcs and other storage
• Rate limits, budgets, and guardrails for safe usage
• Open-source and Enterprise deployment options (Cloud or Self-Hosted)
• JWT Auth, SSO, and audit logs for Enterprise
• Fallbacks across providers to maximize availability
• Prominent observability integrations (Langfuse, Langsmith, OTEL, Prometheus)
• Prompt formatting support for HF models
• Customer success and references (Netflix, Lemonade, RocketMoney)