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LiteLLM

Unified interface and self-hosted gateway for calling many LLM providers through an OpenAI-compatible format.

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Resource overview Use for provider abstraction, retries, fallbacks, budgets, usage tracking, virtual keys, guardrails, and central LLM access management.
Why use this

What it helps you do

  • Use this when a product needs one managed gateway for multiple LLM providers, fallback logic, budgets, keys, logging, and access control.
Who can use this

Best fit users

  • AI platform teams, backend engineers, SaaS teams, and companies standardizing model access across multiple apps or departments.
Prerequisites

What to know first

  • Knowledge of LLM provider APIs, authentication, cost controls, deployment operations, and the model access policies your team needs.
System requirements

Environment needed

  • Python runtime or container deployment, provider API keys, database/storage depending on configuration, and network access from applications to the gateway.
Community

Signals and discussion

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