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Enterprise Layer Intelligence
Categories/AI Orchestration & MLOps/LiteLLM
LiteLLM

LiteLLM

Founded 2023

Connect multiple language model providers behind one unified OpenAI-compatible proxy interface

Pricing model

Free

Rating

★ People love it

Time to value

Quick Setup (< 1 day to basic use)

You can use LiteLLM to route API requests across hundreds of language models using a single standard format. It lets you create virtual API keys with strict budget limits and rate controls for different teams or projects. You can track spending across multiple cloud providers, load balance traffic across deployments, and set up automatic fallbacks if a provider goes down. It also supports response caching with Redis, prompt injection guardrails, data masking, and detailed audit logs for enterprise security.

What LiteLLM does

Create virtual API keys with custom rate limits and monthly budgetsRoute user prompts to the lowest-cost model that satisfies requirementsCache model responses in Redis to avoid paying for identical queriesBlock prompt injection attempts using automated pre-call guardrailsMask sensitive personal information in prompts before external transmissionGenerate team-by-team spend reports for internal cloud chargebackSet up automatic fallback routing when upstream model APIs return errorsUnifies over 100 model providers behind one OpenAI-compatible endpointApplies hard spending caps and token limits per key or teamRoutes requests automatically to cheaper or backup model endpointsCaches duplicate queries using Redis or cloud storage to cut costsMasks sensitive personal data before requests reach external vendorsTracks detailed cost and usage metrics exportable to monitoring systemsRuns completely self-hosted in air-gapped enterprise environments

Pricing breakdown

Pricing model: Free

Tutorials & Demos

Frequently asked

OpenAIOpenAIAnthropicAnthropicCloudflareCloudflareDatadogDatadog

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LiteLLM, AI gateway, LLM proxy, OpenAI compatible, model routing, budget caps, rate limiting, load balancing, cost tracking, semantic caching, Bedrock, Anthropic, Vertex AI, PII masking, guardrails