LiteLLM
Open-source LLM gateway and API proxy that unifies access to 100+ language models via an OpenAI-compatible API, providing automatic failover, cost tracking, rate limits, and observability for production AI platforms.
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Key Features
OpenAI-Compatible API
Call 100+ LLMs using a single consistent OpenAI-format API to minimize refactoring.
Automatic Failover
Intelligent retry and fallback across providers preserves service continuity under failures.
Cost Tracking
Monitor and report LLM spend per request, project, or user with budget controls.
Rate Limiting
Enforce per-user or per-project usage limits and virtual API key spend caps.
Observability Integrations
Built-in callbacks for Langfuse, Lunary, MLflow, and Helicone for logging and metrics.
Exception Standardization
Maps provider errors to OpenAI-style exceptions for consistent error handling.
Admin Dashboard
Proxy UI for managing keys, models, usage, configurations, and cost breakdowns.
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Why Choose LiteLLM
Vendor Independence:
Write once and switch among 100+ providers via configuration without code changes.Production Reliability:
Automatic retry and fallback logic keeps applications running during provider outages.Cost Transparency:
Track spending by project, user, or key and set budget limits to avoid surprises.Enterprise Governance:
Paid tiers add SSO, RBAC, audit logs, and content filtering for compliance needs.
Pricing
Open-source core: $0 license; production infra typically $200–$500/month. Enterprise Basic: $250/month (plus infra). Enterprise Premium: $30,000/year ($2,500/month). LiteLLM does not add markup to provider costs.
About LiteLLM
Open-source LLM gateway and API proxy that unifies access to 100+ language models via an OpenAI-compatible API, providing automatic failover, cost tracking, rate limits, and observability for production AI platforms.
What LiteLLM Does
LiteLLM is an open-source LLM gateway that gives developers and platform teams a single OpenAI-compatible API to call 100+ models, enabling seamless provider switching, unified error handling, and automatic failover to maintain app availability.
The platform translates requests and responses to match provider requirements, implements retry and fallback sequences, enforces rate limits and virtual API keys, and tracks costs per project or user. It offers a Python SDK for direct integration and a Proxy Server for centralized gateway management.
Common use cases include multi-model applications, centralized LLM governance for enterprises, multi-tenant AI platforms, and production systems that require observability, spend controls, and high availability.
Pros & Cons
API Unification
Abstracts differences across 100+ LLM providers to reduce integration work.
Built-in Reliability
Failover and retries maintain application availability during provider issues.
Clear Cost Visibility
Granular spend tracking and budgeting prevent unexpected provider bills.
Governance Options
Enterprise tiers provide SSO, RBAC, audit logs, and content guardrails.
High TCO
Self-hosted production deployments commonly cost $2,000–$3,500/month total.
Operational Burden
Requires server provisioning, scaling, maintenance, security, and DevOps resources.
Cost Competitiveness
Only cost-effective at very high volumes (>50M requests/month) for some teams.
Frequently Asked Questions
LiteLLM is an open-source LLM gateway that provides a unified OpenAI-compatible API to call 100+ providers, enabling failovers, cost tracking, and centralized rate limiting via a proxy or Python SDK.
LiteLLM is compatible with over 100 LLM providers and models, including OpenAI, Anthropic, Google, Azure, and AWS Bedrock.
LiteLLM does not add markup; you pay LLM providers directly at their standard API rates while LiteLLM handles routing and management.
LiteLLM can be used via its Python SDK directly in applications, or you can deploy the proxy server for centralized gateway management across teams.
LiteLLM open-source license is free, but production TCO commonly runs $2,000–$3,500/month including infrastructure, monitoring, databases, and DevOps; Enterprise tiers add subscription fees.
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