> ## Documentation Index
> Fetch the complete documentation index at: https://www.edenai.co/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# DeepTutor

> Use DeepTutor with Eden AI to run your self-hosted study and research app on 500+ AI models through one API.

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<TechArticleSchema title={"DeepTutor"} description={"Use DeepTutor with Eden AI to run your self-hosted study and research app on 500+ AI models through one API."} path="v3/integrations/deeptutor" articleSection="Chat UI" about={"AI Study & Research App Integration"} proficiencyLevel="Beginner" keywords={["Eden AI", "AI API", "DeepTutor", "RAG", "Study"]} datePublished="2026-07-27T00:00:00Z" dateModified="2026-07-27T00:00:00Z" />

Use DeepTutor with Eden AI to run your self-hosted study and research app on 500+ AI models through one API.

## Overview

[DeepTutor](https://github.com/HKUDS/DeepTutor) is a self-hosted AI study and research app — chat, quizzes, and RAG knowledge bases. Eden AI is registered as a **built-in gateway provider** in DeepTutor's model registry, so your whole instance can run on models from OpenAI, Anthropic, Google, Mistral and more behind one key, with EU-based, GDPR-aligned inference.

## Installation

<CodeGroup>
  ```bash pip theme={null}
  mkdir -p my-deeptutor && cd my-deeptutor
  pip install -U deeptutor
  ```
</CodeGroup>

## Quick Start

Select Eden AI as the LLM provider when the setup wizard prompts for one:

<CodeGroup>
  ```bash Terminal theme={null}
  deeptutor init     # prompts for LLM provider / base URL / API key / model
  deeptutor start    # starts backend + frontend
  ```
</CodeGroup>

Open the frontend URL printed in the terminal (default `http://127.0.0.1:3782`). Already running an instance? Add or change the provider later from **Settings → Models** in the web UI instead of re-running `init` — DeepTutor auto-detects Eden AI from the base URL.

## Configuration

DeepTutor's provider registry stores the profile in `data/user/settings/model_catalog.json`:

| Field    | Value                                              |
| -------- | -------------------------------------------------- |
| Provider | `edenai`                                           |
| Base URL | `https://api.edenai.run/v3`                        |
| API key  | `EDENAI_API_KEY`                                   |
| Model    | `provider/model`, e.g. `anthropic/claude-sonnet-5` |

## Available Models

Use the `provider/model` format for any Eden AI model:

**OpenAI**

* `openai/gpt-5.5`
* `openai/gpt-5-mini`

**Anthropic**

* `anthropic/claude-sonnet-5`
* `anthropic/claude-haiku-4-5`

**Google**

* `google/gemini-2.5-pro`
* `google/gemini-3.5-flash`

**Mistral**

* `mistral/mistral-large-2512`
* `mistral/mistral-small-2603`

## Environment Variables

<CodeGroup>
  ```bash .env theme={null}
  EDENAI_API_KEY=your_api_key_here
  ```
</CodeGroup>

DeepTutor reads this key itself once the Eden AI provider is configured — it does not need to be exported manually in most setups (the Settings UI writes it into `model_catalog.json`).

## Next Steps

* [Open WebUI](/docs/v3/integrations/open-webui) - Another self-hosted chat interface
* [Chat Completions](/docs/v3/llms/chat-completions) - Core LLM endpoint
* [List LLM Models](/docs/v3/llms/listing-models) - Browse available providers and models