vLLM

vLLM is a high-throughput, memory-efficient inference and serving engine for LLMs. It exposes an OpenAI-compatible API, so you can run it locally and point LibreChat at your own server.

Configuration

Local vLLM deployments don't require authentication, so the API key is just a placeholder. Point baseURL at your running vLLM server. Add the endpoint to the custom list under endpoints in your librechat.yaml. If your file already has an endpoints.custom list, paste only the - name: entry into it, keeping the same indentation:

endpoints:
  custom:
    - name: "vLLM"
      apiKey: "vllm"
      baseURL: "http://127.0.0.1:8023/v1"
      models:
        default: ['google/gemma-3-27b-it']
        fetch: true
      titleConvo: true
      titleModel: "current_model"
      titleMessageRole: "user"

Notes

• The example connects to a local vLLM server on port 8023 with Gemma 3 27B as the default. Set baseURL to wherever your server is running.
• With fetch: true, LibreChat loads the full list of models available on your vLLM server, so default is only the initial selection.
• titleMessageRole: "user" overrides the default system role for title generation. Some local models reject system message roles, so sending the title prompt as a user message avoids errors.