Stacks / AI chat
Easy
Open WebUI + LiteLLM
A ChatGPT Team replacement: one UI, many models, your keys, Postgres memory.
The problem
ChatGPT Team is $30/user/month and you still cannot point it at the model that won last week's bench. Teams also leak prompts into a vendor log you cannot audit.
Replaces
ChatGPT Team seats
Estimated SaaS saved
$3,600
per year, small team, before lock-in
Deploy on RailwayPlaceholder: Open WebUI + LiteLLM + Postgres. Fits the AI audience; ongoing usage means Railway kickback.
The stack
- Open WebUI
Self-hosted ChatGPT-style UI
- LiteLLM
Unified proxy over OpenAI, Anthropic, local models
- Postgres
Users, chats, and memory
Cost table
| You stop paying | Typical / year | Self-host instead |
|---|---|---|
| ChatGPT Team (10 seats) | $3,600 | Open WebUI + LiteLLM + your keys |
| Vendor lock / unused seats | $1,200 | Pay only for tokens you burn |
Agent setup prompt
Deploy a team ChatGPT replacement. Stack: Open WebUI + LiteLLM + Postgres. - LiteLLM holds provider keys (OPENAI_API_KEY, ANTHROPIC_API_KEY, etc.) and exposes an OpenAI-compatible endpoint. - Open WebUI talks only to LiteLLM. Enable auth. Persist Open WebUI data on a volume. - Document how to add a local Ollama model later without changing the UI. - Write a one-page "this is not ChatGPT Team, here is how to pick a model" note for the team.
Also as markdown: /stacks/open-webui-litellm.md
FAQ
- Do we still pay OpenAI?
- You pay tokens to whoever you route. You stop paying $30/seat for a UI and a policy wrapper.
- Can agents use the same proxy?
- Yes. Point Cursor, n8n, or your own bots at LiteLLM. That is the whole point.