LibreChat integration guide
Use MoLoop in LibreChat through a custom endpoint.
Overview
LibreChat exposes OpenAI-compatible hosts through endpoints.custom. Add a MoLoop block and an environment variable, then let the model picker load the catalog.
Quick configuration
LibreChat custom endpoints use this base URL and key.
基础 URL: https://api.moloop.io/v1
API 密钥: YOUR_API_KEYCompatibility
Chat Completions
Streaming
Tool calling
Step-by-step setup
Edit librechat.yaml
Add the MoLoop custom endpoint under endpoints.custom in your LibreChat installation.
endpoints:
custom:
- name: 'MoLoop'
apiKey: '${MOLOOP_API_KEY}'
baseURL: 'https://api.moloop.io/v1'
models:
fetch: true
titleConvo: true
modelDisplayLabel: 'MoLoop'Add the environment variable
Set the API key in LibreChat’s .env file.
MOLOOP_API_KEY=YOUR_API_KEYRestart LibreChat
Restart the container or process, then choose MoLoop from the chat dropdown.
Recommended models
fetch: true loads models from the MoLoop catalog. Add dropParams only when a model explicitly rejects extra parameters.
Things to know
Use single-brace environment syntax such as ${MOLOOP_API_KEY}; do not mix formats from other configs.
Combine fetch: true with default when you want preferred models shown first.
Do not commit a production API key to YAML; inject it through an environment variable or secret.
Are you ready to get started?
Get an API key and start using MoLoop in these tools.