LiteLLM

A universal AI gateway and SDK providing a unified OpenAI-compatible interface for over 100 LLM providers.

Overview

LiteLLM has established itself as the industry standard for normalizing the fragmented LLM landscape. By 2026, it serves as a critical infrastructure layer that allows teams to interact with models from OpenAI, Anthropic, Google, and dozens of others using a single, consistent OpenAI-compatible format. Whether used as a lightweight Python SDK or a robust proxy server, LiteLLM simplifies the complexity of multi-model orchestration, load balancing, and spend management.

Standout features

• Unified API Interface: Call 100+ LLMs (including local models and proprietary APIs) using the standard OpenAI chat completion format.
• Enterprise-Grade Proxy: A standalone gateway that handles authentication, rate limiting, and request logging across multiple teams and projects.
• Smart Routing & Fallbacks: Automatically switch to secondary providers or models if a primary service encounters latency spikes or downtime.
• Comprehensive Spend Tracking: Real-time monitoring of token usage and costs, with the ability to set budgets at the API key or team level.
• Protocol Translation: Native support for translating requests into the specific schemas required by providers like Bedrock, Azure, and Vertex AI.

Typical use cases

• Normalizing API calls in applications that need to switch dynamically between different model providers for cost or performance reasons.
• Implementing a centralized AI gateway to manage API keys, security policies, and usage limits across an entire organization.
• Building resilient agentic workflows that require automatic retries and fallback mechanisms to ensure high availability.
• Rapidly prototyping and benchmarking different models using a single codebase without changing integration logic.

Limitations or trade-offs

• The proxy server introduces a minor latency overhead compared to direct API calls due to the additional hop.
• High-throughput production deployments require significant operational setup, including Redis for state management and database infrastructure for logging.
• While the core SDK is free, advanced governance and security features (like SSO and audit logs) require an Enterprise license.

When to choose this tool

Choose LiteLLM when your architecture involves multiple LLM providers and you want to avoid vendor lock-in or the maintenance burden of multiple custom integrations. It is particularly valuable for teams building production-grade applications that require centralized control, cost transparency, and high reliability across a diverse set of AI models.