> For the complete documentation index, see [llms.txt](https://guides.ia.numerique.gouv.fr/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://guides.ia.numerique.gouv.fr/albert-api/guides/models.md).

# Modèles (liste)

Ce guide montre comment interroger **`GET /v1/models`** avec le SDK OpenAI (version “compatible OpenAI”) pour récupérer les modèles disponibles, puis filtrer par type (chat, embeddings, OCR, audio, etc.).

{% hint style="info" %}
Pour en savoir plus sur les modèles disponibles et leurs caractéristiques, voir la [page Modèles disponibles](/albert-api/modeles/available-models.md).
{% endhint %}

## Pré-requis

1. Définir votre clé API :

```bash
export ALBERT_API_KEY="votre_jeton"
```

2. Installer le SDK :

```bash
pip install -U openai
```

## Liste des modèles (`GET /v1/models`)

{% tabs %}
{% tab title="curl" %}

```bash
curl -sS "https://albert.api.etalab.gouv.fr/v1/models" \
  -H "Authorization: Bearer $ALBERT_API_KEY"
```

{% endtab %}

{% tab title="Python" %}

```python
import os
from openai import OpenAI

client = OpenAI(
    base_url="https://albert.api.etalab.gouv.fr/v1",
    api_key=os.environ["ALBERT_API_KEY"],
)

models = client.models.list().data

for m in models[:3]:
    print(
        f"ID: {m.id}\n"
        f"Type: {m.type}\n"
        f"Owner: {m.owned_by}\n"
        f"Max tokens: {m.max_context_length}\n"
    )
```

{% endtab %}

{% tab title="JavaScript" %}

```javascript
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://albert.api.etalab.gouv.fr/v1",
  apiKey: process.env.ALBERT_API_KEY,
});

const models = (await client.models.list()).data;
for (const m of models.slice(0, 3)) {
  console.log(`ID: ${m.id}`);
  console.log(`Type: ${m.type}`);
  console.log(`Owner: ${m.owned_by}`);
  console.log(`Max tokens: ${m.max_context_length}\n`);
}
```

{% endtab %}
{% endtabs %}

## Filtrer selon l’usage

En pratique, choisissez un modèle selon son champ `type` :

* `text-generation` : **chat** (`POST /v1/chat/completions`)
* `text-embeddings-inference` : **embeddings** (`POST /v1/embeddings`)
* `automatic-speech-recognition` : **audio** (`POST /v1/audio/transcriptions`)
* `image-to-text` ou variantes `*ocr*` : **OCR** (`POST /v1/ocr`)

{% hint style="warning" %}
⚠️ À vérifier — Le mapping exact entre `type` et les endpoints dépend de la configuration de votre instance. Utilisez la liste des modèles et vérifiez le comportement sur votre environnement.
{% endhint %}

## Vue catalogue (site officiel)

Pour une vue “humaine” des modèles (familles, licences, aliases), vous pouvez aussi consulter :

[Catalogue des modèles](https://ia.numerique.gouv.fr/outils-ia/albert-api/mod%C3%A8les/)

Le site précise que les modèles proviennent de tiers (ex. Mistral, Meta) mais sont **hébergés sur nos serveurs** : aucune de vos données n’est envoyée à ces fournisseurs de modèles.

## Détail d’un modèle (`GET /v1/models/{model}`)

{% tabs %}
{% tab title="curl" %}

```bash
curl -sS "https://albert.api.etalab.gouv.fr/v1/models/REMPLACER_PAR_MODEL_ID" \
  -H "Authorization: Bearer $ALBERT_API_KEY"
```

{% endtab %}

{% tab title="Python" %}

```python
model_id = models[0].id

model = client.models.retrieve(model=model_id)

print(
    f"ID: {model.id}\n"
    f"Type: {model.type}\n"
    f"Owner: {model.owned_by}\n"
    f"Max tokens: {model.max_context_length}\n"
)
```

{% endtab %}

{% tab title="JavaScript" %}

```javascript
const modelId = models[0].id;
const model = await client.models.retrieve(modelId);

console.log(`ID: ${model.id}`);
console.log(`Type: ${model.type}`);
console.log(`Owner: ${model.owned_by}`);
console.log(`Max tokens: ${model.max_context_length}`);
```

{% endtab %}
{% endtabs %}

Pour la documentation endpoint, voir la [page “Models”](https://doc.incubateur.net/alliance/albert-api/api-reference/liste-des-endpoint/models).


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