🔀 LiteLLM

2 guides covering common problems, patterns, and production issues in LiteLLM.

LiteLLM is an open-source Python library and proxy server that provides a single OpenAI-compatible interface for 100+ LLM providers. Route to Claude, GPT-4, Gemini, or local Ollama models through one API with automatic fallbacks, per-user budget limits, and cost tracking.

  • 100+ LLM providers through one OpenAI-compatible API
  • Automatic model fallbacks and context window fallbacks
  • Per-call and per-user cost tracking with budget limits
  • LiteLLM Proxy: Redis caching, load balancing, and virtual team keys
  • Async support via acompletion() for high-throughput workloads
Visit official site →
LiteLLM April 08, 2026 3 min

LiteLLM: One API to Route All Your LLMs — Setup, Fallbacks, and Cost Tracking

Most serious AI applications end up using more than one LLM. Claude for reasoning-heavy tasks. GPT-4o for speed. Gemini Flash when cost matters. A local Llama model for sensitive data that cannot leav...

Read guide →
LiteLLM April 08, 2026 3 min

Running the LiteLLM Proxy in Production: Load Balancing, Caching, and Team Access Control

The LiteLLM Python library is useful when you control the calling code. The LiteLLM proxy server is useful when you have multiple services, multiple developers, or multiple agents all needing LLM acce...

Read guide →
Other Tools

Stay sharp as AI tools evolve

New guides drop regularly. Get them in your inbox — no noise, just signal.