LibreChat

Overview

LibreChat is an open-source, self-hosted chat interface. Adding the AI Gateway as a custom endpoint routes every conversation through Orq.ai, exposing the full model catalog with unified tracing and cost tracking.

Custom endpoints exist only in librechat.yaml; LibreChat has no UI for adding an OpenAI-compatible provider. This page covers model routing and tracing only.

Prerequisites

Docker installed
Active Orq.ai account
Orq.ai API key

Setup

Install LibreChat

Clone the repository and create the environment file. For other install methods, see the LibreChat Docker guide:

git clone https://github.com/danny-avila/LibreChat.git
cd LibreChat
cp .env.example .env

Add the API key to .env

Add the key to the LibreChat .env file:

ORQ_API_KEY=<orq-api-key>

Replace <orq-api-key> with the key from Settings > API Keys.

Add the AI Gateway endpoint to librechat.yaml

Add a custom endpoint under a single top-level endpoints key:

endpoints:
  custom:
    - name: "orq"
      apiKey: "${ORQ_API_KEY}"
      baseURL: "https://my.orq.ai/v3/router"
      models:
        default: ["openai/gpt-5.6-sol", "anthropic/claude-sonnet-5"]
        fetch: true
      titleConvo: true
      titleModel: "openai/gpt-5.4-mini"
      modelDisplayLabel: "orq"

With fetch: true, the picker is populated live from the AI Gateway, so every enabled model appears automatically; default is only a fallback. Use provider-prefixed IDs (for example openai/gpt-5.6-sol) from Workspace Settings → Models.

Mount the config and restart

LibreChat reads librechat.yaml only when it is mounted into the container. After mounting, recreate the containers so the new .env and config are loaded:

docker compose down && docker compose up -d

Apple Silicon: the default MongoDB image requires AVX instructions that Apple Silicon does not expose under virtualization, so the mongodb container crash-loops. Pin mongo:4.4.18 in docker-compose.override.yml to fix it.

Configuration Reference

Field	Description
`name`	Endpoint label shown in the model picker.
`apiKey`	References the `.env` variable holding the Orq.ai key, e.g. `${ORQ_API_KEY}`.
`baseURL`	Set to `https://my.orq.ai/v3/router` for all AI Gateway models.
`models.fetch`	When `true`, populates the picker live from the catalog. Recommended.
`models.default`	Fallback list of provider-prefixed IDs.
`titleConvo`	When `true`, fires a second call to `titleModel` to name each conversation.
`titleModel`	Model used to generate conversation titles.

Troubleshooting

The orq endpoint or its models do not appear

The custom endpoint did not load. Confirm ORQ_API_KEY is set in .env, that there is exactly one top-level endpoints key in librechat.yaml, and that the file is mounted into the container. See the LibreChat config docs.

Only a few models appear in the picker

The endpoint is running with fetch: false. Set fetch: true to populate the picker from the AI Gateway catalog, and confirm baseURL is https://my.orq.ai/v3/router.

Requests do not appear in Orq.ai Traces

Confirm apiKey resolves to a valid Orq.ai API key and baseURL is https://my.orq.ai/v3/router. Requests sent to another endpoint will not appear in Traces.

Two requests traced per message

titleConvo: true fires a second call to titleModel to name the conversation. This is expected. Set titleConvo: false to disable it, or point titleModel at a cheaper model.

Verification

Select the orq endpoint in the model picker, choose a model, and send a message. The response appears in the chat, and the request appears in Orq.ai Traces with the selected model identifier.

Model Providers

Coding Agents

Chat Interfaces

Frameworks & SDKs

Automations

Overview

Prerequisites

Setup

Configuration Reference

Troubleshooting

Verification

​Overview

​Prerequisites

​Setup

​Configuration Reference

​Troubleshooting

​Verification

Overview

Prerequisites

Setup

Configuration Reference

Troubleshooting

Verification