I will build an optimized ai router to slash llm API costs drastically


About this gig
Deploy a self-hosted LiteLLM and RouteLLM gateway to intelligently route requests and cut your commercial LLM API spending by half.
Get to know Henry Weismann
Enterprise Grade AI Infrastructure Architect, Open Source, Self Hosted Solutions
- FromUnited States
- Member sinceSep 2013
- Avg. response time1 hour
- Last delivery2 years
Languages
English
FAQ
What do I need to provide to get started?
You will need to provide server access (VPS/Docker via SSH or a managed cloud instance) and the API keys for the commercial or open-source LLMs you plan to route (e.g., OpenAI, Anthropic, or OpenRouter).
Is my data secure with a self-hosted LiteLLM/RouteLLM gateway?
Yes. The gateway runs entirely on your own infrastructure. No prompts, responses, or API tokens pass through any third-party intermediary other than your chosen model providers.
Which models can be routed using this setup?
Nearly any major LLM can be integrated, including OpenAI (GPT-4o), Anthropic (Claude 3.5), local Meta Llama models, Mistral, and custom endpoints connected via OpenRouter or vLLM.
How does RouteLLM actually save me money?
RouteLLM uses a smart router to evaluate the complexity of each incoming prompt. Simple tasks are sent to fast, inexpensive open-source models, while complex queries are selectively sent to high-cost premium models.
What happens if one of the AI models goes down?
The gateway supports automatic fallback mechanisms. If your primary model encounters an error or rate limit, traffic instantly shifts to a secondary fallback model without disrupting your application.

