LiteLLM
BerriAI/litellm
AI gateway / multi-LLM router — one interface to many model providers. GitHub: BerriAI/litellm (~56k stars).
GitHub repository
Overview
LiteLLM (BerriAI/litellm) is listed in LimeDock Directories as an AI agent resource. AI gateway / multi-LLM router — one interface to many model providers. Group: memory-infra. Community size: ~56k GitHub stars. Repo (copy/paste): https://github.com/BerriAI/litellm This page is a plain-English guide so searches for the GitHub project can land on how teams actually use it.
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Link
Installation guide
Open the GitHub repository, then follow the README for your stack.
Official GitHub repository: https://github.com/BerriAI/litellm GitHub path: BerriAI/litellm
How to open it: 1. Copy: https://github.com/BerriAI/litellm 2. Clone or follow the README for your OS/stack. 3. Start with the smallest example before production use.
How to use it
**Simple example** You’re tired of rewriting clients for every model vendor.
1. Deploy LiteLLM proxy. 2. Point apps at the proxy. 3. Add budgets, logging, and fallbacks.
Example prompts
- “Deploy LiteLLM with OpenAI+Anthropic fallbacks.”
- “LiteLLM vs Portkey?”
- “Budget alerts setup.”
Use cases and examples
- Evaluate BerriAI/litellm as an AI agent building block
- Pilot LiteLLM on one staging workflow
- Compare against agents you already pay for
- Document a team playbook after the pilot
Prerequisites
- Hosting
- Provider keys
Tips
- Central gateway = central cost control.
- Log prompts carefully (PII).