LibreChat

Add NagaAI to librechat.yaml, following the LibreChat custom endpoint reference:

endpoints:
  custom:
    - name: "NagaAI"
      apiKey: "${NAGAAI_API_KEY}"
      baseURL: "https://api.naga.ac/v1"
      headers:
        x-naga-supported-endpoint: "chat.completions"
      models:
        default: ["claude-sonnet-5", "deepseek-v4.1-flash"]
        fetch: true
      titleConvo: true
      titleModel: "deepseek-v4.1-flash"
      modelDisplayLabel: "NagaAI"
      customParams:
        reasoningFormat: reasoning_effort

Set NAGAAI_API_KEY in LibreChat’s .env, or use apiKey: "user_provided" to let each user enter their own key.

fetch: true loads the model list from /v1/models, so new models appear without editing the file. LibreChat sends headers with that request, and x-naga-supported-endpoint: chat.completions limits the list to chat models. Without the header the list includes image, audio and embedding models. default is the list LibreChat shows when the fetch fails.
reasoningFormat: reasoning_effort makes LibreChat send reasoning_effort, the field NagaAI reads.

NagaAI runs a hosted LibreChat at chat.naga.ac.

Coding agents

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