LibreChat

Best for: operators who want very explicit, self-hosted control over custom endpoints.

Why people choose it

LibreChat is a strong option when you want configuration-driven control instead of a purely UI-driven setup.

Recommended MetaioLab setup

LibreChat supports OpenAI-compatible custom endpoints via librechat.yaml.

That makes it a good fit for MetaioLab as long as your gateway behaves like a proper OpenAI-compatible backend.

Simple setup idea

1. Create or edit librechat.yaml
2. Add MetaioLab under endpoints.custom
3. Set the API key
4. Set the MetaioLab base URL
5. Define or fetch the models you want
6. Restart LibreChat

Important compatibility note

LibreChat’s docs and maintainer guidance make one thing very clear:

• your backend should behave like a real OpenAI-compatible API
• streaming should use proper SSE behavior

That means LibreChat is a great fit for a clean gateway, but a bad fit for half-compatible proxies.

Best use case

Use LibreChat when you want:

• explicit configuration files
• Docker-based self-hosting
• multiple custom endpoints under one interface

References

• LibreChat custom endpoints quick start: https://www.librechat.ai/docs/quick_start/custom_endpoints
• LibreChat YAML config docs: https://www.librechat.ai/docs/configuration/librechat_yaml