# Create models

URL: https://docs.hanzo.ai/docs/openapi/ml/post-ml-models

> Deploys one inference model for the caller's org, and answers 201 with the model as Kubernetes admitted it.

`POST /v1/ml/models`

> [ML →](https://docs.hanzo.ai/docs/openapi/ml) · [All API references →](https://docs.hanzo.ai/docs/openapi) · [Get started →](https://docs.hanzo.ai/docs/guides)

|               |                                        |
| ------------- | -------------------------------------- |
| **Address**   | `https://api.hanzo.ai/v1/ml/models`    |
| **Method**    | `POST`                                 |
| **Operation** | `post_ml_models`                       |
| **Auth**      | `Authorization: Bearer $HANZO_API_KEY` |

Deploys one inference model for the caller's org, and answers 201
with the model as Kubernetes admitted it.

The `spec` is a kserve InferenceService spec, passed through unchanged — this
plane owns the tenancy, the billing and the namespace, and kserve owns what a
model IS. An unfunded org is refused BEFORE anything is created, so nobody runs
free GPU compute and nobody is charged for a resource that was never made.

## Request

4 fields, body `application/json` (required).

| Field      | In   | Type   | Required | Description                                                                                                                                                                                         |
| ---------- | ---- | ------ | -------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `labels`   | body | object | —        | Labels are extra labels to set on the object, merged UNDER the tenancy labels this plane derives from the validated principal — so a label naming another org's scope cannot displace the real one. |
| `labels.*` | body | string | —        |                                                                                                                                                                                                     |
| `name`     | body | string | —        | Name is the resource's name: a DNS-1123 label (^[a-z0-9](https://docs.hanzo.ai/docs/openapi)?$), lowercased and trimmed.                                                                            |
| `spec`     | body | any    | —        | Spec is the resource's own spec, passed to Kubernetes unchanged.                                                                                                                                    |

## Response

| Status    | Body            | Meaning |
| --------- | --------------- | ------- |
| `201`     | ml.mlResource   | created |
| `default` | problem-details | refused |

`201` body — 6 fields.

| Field       | In   | Type   | Always | Description                                                               |
| ----------- | ---- | ------ | ------ | ------------------------------------------------------------------------- |
| `createdAt` | body | string | —      | CreatedAt is when Kubernetes admitted the object, RFC 3339 in UTC.        |
| `name`      | body | string | —      | Name is the object's metadata.name, unique within the caller's namespace. |
| `spec`      | body | object | —      | Spec is the resource spec, verbatim as Kubernetes stores it.              |
| `spec.*`    | body | any    | —      |                                                                           |
| `status`    | body | object | —      | Status is the live status kserve owns, verbatim.                          |
| `status.*`  | body | any    | —      |                                                                           |

Failure carries the platform error shape — see [Errors](https://docs.hanzo.ai/docs/errors).

## Examples

**CLI**

```bash
hanzo ml models create
```

**SDK**

**.ts**

```ts
import { Configuration, MlApi } from 'hanzoai';

const api = new MlApi(new Configuration({ accessToken: process.env.HANZO_API_KEY }));
const { data } = await api.postMlModels({ labels: {}, name: "<name>" });
```

**.py**

```python
from hanzoai.cloud import ApiClient, Configuration
from hanzoai.cloud.api import MlApi

client = ApiClient(Configuration(access_token=os.environ["HANZO_API_KEY"]))
result = MlApi(client).post_ml_models(labels={}, name="<name>")
```

**.go**

```go
cfg := hanzoai.NewConfiguration()
cfg.AddDefaultHeader("Authorization", "Bearer "+os.Getenv("HANZO_API_KEY"))
client := hanzoai.NewAPIClient(cfg)

resp, _, err := client.MlAPI.PostMlModels(context.Background()).Execute()
if err != nil {
	return err
}
```

**.rs**

```rust
use hanzo_client::apis::{configuration::Configuration, ml_api};

let mut cfg = Configuration::new();
cfg.bearer_access_token = std::env::var("HANZO_API_KEY").ok();

let result = ml_api::post_ml_models(&cfg, Default::default()).await?;
```

**.java**

```java
import ai.hanzo.cloud.ApiClient;
import ai.hanzo.cloud.api.MlApi;

ApiClient client = new ApiClient();
client.setBearerToken(System.getenv("HANZO_API_KEY"));

var result = new MlApi(client).postMlModels();
```

**HTTP**

```bash
curl -X POST https://api.hanzo.ai/v1/ml/models \
  -H "Authorization: Bearer $HANZO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
       "labels": {},
       "name": "<name>"
     }'
```

**MCP**

MCP reaches **ml** through the `ml` tool, which names its 4 operations with its own verbs — this one among them, under a name only MCP declares. `describe` explains any of them:

```bash
curl -X POST https://api.hanzo.ai/v1/mcp \
  -H "Content-Type: application/json" \
  -d '{
       "jsonrpc": "2.0",
       "id": 1,
       "method": "tools/call",
       "params": {
         "name": "describe",
         "arguments": {
           "op": "list_ml_models"
         }
       }
     }'
```

---

[ML API](https://docs.hanzo.ai/docs/openapi/ml) · [All Hanzo APIs](https://docs.hanzo.ai/docs/openapi) · [Interactive reference](https://docs.hanzo.ai/docs/openapi/reference)