LiteLLM OpenAI-compatible proxy for 100+ LLM providers: cost tracking, fallbacks, and load balancing. Self-hosted on a Liquid Web 4 GB VPS.
ChatGPT Team costs $25 per user per month. At 10 users that is $3,000 per year — before you factor in rate limits, data residency concerns, and the fact that every prompt you send trains future OpenAI models unless you opt out. Self-hosting an LLM stack eliminates per-seat costs, keeps prompts on hardware you control, and lets you run models tuned for your domain.
TL;DR
docker-compose.yml: n8n + LiteLLM + Twenty CRM + shared PostgreSQL + Redis + CaddyMost sales teams that want AI-augmented automation end up in one of two bad places: paying for Zapier Pro, a direct OpenAI API key they can't audit, and HubSpot CRM — three separate subscriptions that don't compose well and bill regardless of usage. Or they write fragile Python scripts that break on every API change and nobody wants to maintain.
This guide deploys the middle path: Twenty CRM for pipeline management, n8n for visual workflow automation, and LiteLLM as an OpenAI-compatible AI proxy — all on a single Liquid Web 8 GB VPS. n8n calls LiteLLM for every AI task (lead enrichment summaries, proposal draft generation, inbound form classification), and LiteLLM provides budget caps, model fallbacks, and a unified request log.
TL;DR
docker-compose.yml: Ollama + LiteLLM + Open WebUI + Authentik + PostgreSQL + Redis + CaddyEvery prompt your team sends to ChatGPT Team or Copilot for Microsoft 365 leaves your network and is processed on OpenAI's or Microsoft's servers. For most teams that's an acceptable trade-off. For teams handling legal documents, source code, financial data, or customer PII, it is not. This guide deploys a private ChatGPT equivalent — Llama 3 70B running on your own GPU hardware, with a ChatGPT-quality web interface, your company's SSO, and per-team usage budgets — entirely inside your infrastructure.